Li-zhen Cui

According to our database, Li-zhen Cui authored at least 396 papers between 2004 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2025

Conditional Potential User Mining framework via explainable surrogate models.

Yibowen Zhao, Yonghui Xu, Yong Liu, Luwei Yang, Wen Jiang, Wei Ning, Xiaofang Sun, Lizhen Cui

Expert Syst. Appl., 2025

2024

Efficient Asynchronous Multi-Participant Vertical Federated Learning.

Haoran Shi, Yonghui Xu, Yali Jiang, Han Yu, Lizhen Cui

IEEE Trans. Big Data, December, 2024

A Mixed-Bouncing Based 6G Multi-UAV Integrated Channel Model With Consistency and Non-Stationarity.

Lu Bai, Ziwei Huang, Junyu Liu, Lizhen Cui, Min Sheng, Xiang Cheng

IEEE Trans. Wirel. Commun., October, 2024

Soil Organic Carbon Estimation via Remote Sensing and Machine Learning Techniques: Global Topic Modeling and Research Trend Exploration.

Tong Li, Lizhen Cui, Yu Wu, Timothy I. McLaren, Anquan Xia, Rajiv Pandey, Hongdou Liu, Weijin Wang, Zhihong Xu, Xiufang Song, Ram C. Dalal, Yash P. Dang

Remote. Sens., September, 2024

Explicit Knowledge Graph Reasoning for Conversational Recommendation.

Xuhui Ren, Tong Chen, Quoc Viet Hung Nguyen, Lizhen Cui, Zi Huang, Hongzhi Yin

ACM Trans. Intell. Syst. Technol., August, 2024

Packet header-based reweight-long short term memory (Rew-LSTM) method for encrypted network traffic classification.

Jiangang Hou, Xin Li, Hongji Xu, Chun Wang, Lizhen Cui, Zhi Liu, Changzhen Hu

Computing, August, 2024

Package Arrival Time Prediction via Knowledge Distillation Graph Neural Network.

Lei Zhang, Yong Liu, Zhiwei Zeng, Yiming Cao, Xingyu Wu, Yonghui Xu, Zhiqi Shen, Lizhen Cui

ACM Trans. Knowl. Discov. Data, June, 2024

Research on Input Schemes for Polarimetric SAR Classification Using Deep Learning.

Shuaiying Zhang, Lizhen Cui, Yue Zhang, Tian Xia, Zhen Dong, Wentao An

Remote. Sens., June, 2024

Video frame interpolation via spatial multi-scale modelling.

Zhe Qu, Weijing Liu, Lizhen Cui, Xiaohui Yang

IET Comput. Vis., June, 2024

A Deep Learning Classification Scheme for PolSAR Image Based on Polarimetric Features.

Shuaiying Zhang, Lizhen Cui, Zhen Dong, Wentao An

Remote. Sens., May, 2024

Medicine Package Recommendation via Dual-Level Interaction Aware Heterogeneous Graph.

Fanglin Zhu, Xu Zhang, Batuo Zhang, Yonghui Xu, Lizhen Cui

IEEE J. Biomed. Health Informatics, April, 2024

Dynamic Recommendation Based on Graph Diffusion and Ebbinghaus Curve.

Zhihong Cui, Xiangguo Sun, Hongxu Chen, Li Pan, Lizhen Cui, Shijun Liu, Guandong Xu

IEEE Trans. Comput. Soc. Syst., April, 2024

Distributed Learning for Large-Scale Models at Edge With Privacy Protection.

Yuan Yuan, Shuzhen Chen, Dongxiao Yu, Zengrui Zhao, Yifei Zou, Lizhen Cui, Xiuzhen Cheng

IEEE Trans. Computers, April, 2024

System Development and Evaluation of Human-Computer Interaction Approach for Assessing Functional Impairment for People with Mild Cognitive Impairment: A Pilot Study.

Tian Su, Zixing Ding, Lizhen Cui, Lingguo Bu

Int. J. Hum. Comput. Interact., April, 2024

Computational Experiments for Complex Social Systems: Experiment Design and Generative Explanation.

Xiao Xue, Deyu Zhou, Xiangning Yu, Gang Wang, Juanjuan Li, Xia Xie, Lizhen Cui, Fei-Yue Wang

IEEE CAA J. Autom. Sinica, April, 2024

Estimating package arrival time via heterogeneous hypergraph neural network.

Lei Zhang, Xingyu Wu, Yong Liu, Xin Zhou, Yiming Cao, Yonghui Xu, Lizhen Cui, Chunyan Miao

Expert Syst. Appl., March, 2024

TADA: Temporal-aware Adversarial Domain Adaptation for patient outcomes forecasting.

Chang'an Yi, Haotian Chen, Yonghui Xu, Yan Zhou, Juan Du, Lizhen Cui, Haishu Tan

Expert Syst. Appl., March, 2024

Personalized Federated Few-Shot Learning.

Yunfeng Zhao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang, Lizhen Cui

IEEE Trans. Neural Networks Learn. Syst., February, 2024

XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation.

Junliang Yu, Xin Xia, Tong Chen, Lizhen Cui, Nguyen Quoc Viet Hung, Hongzhi Yin

IEEE Trans. Knowl. Data Eng., February, 2024

Umix: Sustainable Multi-UAV Coordination for Aerial-Terrestrial Networks.

Tong Ding, Lei Liu, Zhongmin Yan, Lizhen Cui

IEEE Trans. Netw. Sci. Eng., 2024

CMAR: A Pipeline for Cross-Modal Alignment and 3-D Reconstruction of Coronary Arteries Based on Key Bifurcation Vessel Measurements.

Yankun Cao, Wenzhen Zhang, Yuezhong Zhang, Guanjie Sun, Wei Guo, Mingjie Shao, Subhas Chandra Mukhopadhyay, Lizhen Cui, Yujun Li, Zhi Liu, Shuo Li

IEEE Trans. Instrum. Meas., 2024

FastPTM: Fast weights loading of pre-trained models for parallel inference service provisioning.

Fenglong Cai, Dong Yuan, Zhe Yang, Yonghui Xu, Wei He, Wei Guo, Lizhen Cui

Parallel Comput., 2024

DiffCoder: Enhancing Large Language Model on API Invocation via Analogical Code Exercises.

Daoguang Zan, Ailun Yu, Bo Shen, Bei Chen, Wei Li, Yongshun Gong, Xiaolin Chen, Yafen Yao, Weihua Luo, Bei Guan, Yan Liu, Yongji Wang, Qianxiang Wang, Lizhen Cui

Proc. ACM Softw. Eng., 2024

Augmentation blending with clustering-aware outlier factor: An outlier-driven perspective for enhanced contrastive learning.

Qianwen Meng, Hangwei Qian, Yonghui Xu, Lizhen Cui

Knowl. Based Syst., 2024

Unified bi-encoder bispace-discriminator disentanglement for cross-domain echocardiography segmentation.

Xiaoxiao Cui, Boyu Wang, Shanzhi Jiang, Zhi Liu, Hongji Xu, Lizhen Cui, Shuo Li

Knowl. Based Syst., 2024

Diff-MGR: Dynamic causal graph attention and pattern reproduction guided diffusion model for multivariate time series probabilistic forecasting.

Tianlong Zhao, Guangle Song, Xuemei Li, Lizhen Cui, Caiming Zhang

Inf. Sci., 2024

A Survey of Personalized Medicine Recommendation.

Fanglin Zhu, Lizhen Cui, Yonghui Xu, Zhe Qu, Zhiqi Shen

Int. J. Crowd Sci., 2024

IoV environment exploring coordination: A federated learning approach.

Tong Ding, Lei Liu, Yi Zhu, Lizhen Cui, Zhongmin Yan

Digit. Commun. Networks, 2024

Large Language Model Enhanced Text-to-SQL Generation: A Survey.

Xiaohu Zhu, Qian Li, Lizhen Cui, Yongkang Liu

CoRR, 2024

Debate on Graph: a Flexible and Reliable Reasoning Framework for Large Language Models.

Jie Ma, Zhitao Gao, Qi Chai, Wangchun Sun, Pinghui Wang, Hongbin Pei, Jing Tao, Lingyun Song, Jun Liu, Chen Zhang, Lizhen Cui

CoRR, 2024

A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems.

Hung Vinh Tran, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui, Hongzhi Yin

CoRR, 2024

CodeS: Natural Language to Code Repository via Multi-Layer Sketch.

Daoguang Zan, Ailun Yu, Wei Liu, Dong Chen, Bo Shen, Wei Li, Yafen Yao, Yongshun Gong, Xiaolin Chen, Bei Guan, Zhiguang Yang, Yongji Wang, Qianxiang Wang, Lizhen Cui

CoRR, 2024

Development of a novel machine learning-based approach for brain function assessment and integrated software solution.

Jing Qu, Lizhen Cui, Wei Guo, Lingguo Bu, Zhenya Wang

Adv. Eng. Informatics, 2024

Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation.

Ruiqi Zheng, Liang Qu, Tong Chen, Lizhen Cui, Yuhui Shi, Hongzhi Yin

Proceedings of the ACM on Web Conference 2024, 2024

MMPOI: A Multi-Modal Content-Aware Framework for POI Recommendations.

Yang Xu, Gao Cong, Lei Zhu, Lizhen Cui

Proceedings of the ACM on Web Conference 2024, 2024

Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation.

Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, Hongzhi Yin

Proceedings of the ACM on Web Conference 2024, 2024

Lightweight Embeddings for Graph Collaborative Filtering.

Xurong Liang, Tong Chen, Lizhen Cui, Yang Wang, Meng Wang, Hongzhi Yin

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Multi-modal Food Recommendation Using Clustering and Self-supervised Learning.

Yixin Zhang, Xin Zhou, Qianwen Meng, Fanglin Zhu, Yonghui Xu, Zhiqi Shen, Lizhen Cui

Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

From Question to Exploration: Can Classic Test-Time Adaptation Strategies Be Effectively Applied in Semantic Segmentation?

Chang'an Yi, Haotian Chen, Yifan Zhang, Yonghui Xu, Yan Zhou, Lizhen Cui

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

CausCLIP: Causality-Adapting Visual Scoring of Visual Language Models for Few-Shot Learning in Portable Echocardiography Quality Assessment.

Yiran Li, Xiaoxiao Cui, Yankun Cao, Yuezhong Zhang, Huihui Wang, Lizhen Cui, Zhi Liu, Shuo Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Multilevel Causality Learning for Multi-label Gastric Atrophy Diagnosis.

Xiaoxiao Cui, Shanzhi Jiang, Baolin Sun, Yiran Li, Yankun Cao, Zhen Li, Chaoyang Lv, Zhi Liu, Lizhen Cui, Shuo Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Personalized Federated Learning for Cross-City Traffic Prediction.

Yu Zhang, Hua Lu, Ning Liu, Yonghui Xu, Qingzhong Li, Lizhen Cui

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning.

Liping Yi, Han Yu, Zhuan Shi, Gang Wang, Xiaoguang Liu, Lizhen Cui, Xiaoxiao Li

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection.

Xianjie Guo, Kui Yu, Hao Wang, Lizhen Cui, Han Yu, Xiaoxiao Li

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Privacy-Preserving Cross-Organization Process Mining Based on Blockchain and Cryptography.

Shuaipeng Zhang, Lanju Kong, Yongqing Zheng, Cong Liu, Lizhen Cui

Proceedings of the IEEE International Conference on Web Services, 2024

A Self-organizing Collaborative Crowdsourcing Framework for Improving Service Utility.

Shipeng Wang, Qingzhong Li, Xudong Lu, Lizhen Cui

Proceedings of the IEEE International Conference on Web Services, 2024

Edge-LLM: A Collaborative Framework for Large Language Model Serving in Edge Computing.

Fenglong Cai, Dong Yuan, Zhe Yang, Lizhen Cui

Proceedings of the IEEE International Conference on Web Services, 2024

Causal Denoising Framework for Generalizable Recommendation System using Graph Neural Network.

Yibowen Zhao, Yonghui Xu, Ning Liu, Yixin Zhang, Wei Guo, Xudong Lu, Lizhen Cui

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

FedRMS: Privacy-Preserving Federated Knowledge Graph Embedding Through Randomization.

Qianyu Li, Xiaoli Tang, Siyao Zhou, Han Yu, Hengjie Song, Lizhen Cui, Xiaoxiao Li

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

An LLM can Fool Itself: A Prompt-Based Adversarial Attack.

Xilie Xu, Keyi Kong, Ning Liu, Lizhen Cui, Di Wang, Jingfeng Zhang, Mohan S. Kankanhalli

Proceedings of the Twelfth International Conference on Learning Representations, 2024

HeteFedRec: Federated Recommender Systems with Model Heterogeneity.

Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Multi-objective Graph Neural Network Explanatory Model with Local and Global Information Preservation.

Yibowen Zhao, Yonghui Xu, Yixin Zhang, Wei He, Lizhen Cui

Proceedings of the Database Systems for Advanced Applications, 2024

Multi-scale Residual Graph Attention Network for Major Depressive Disorder Recognition.

Xiaofang Sun, Yonghui Xu, Ning Liu, Yongqing Zheng, Lizhen Cui

Proceedings of the Database Systems for Advanced Applications, 2024

A Complete Protection, Certification and Traceability System for Academic Degrees Based on Collaborative Storage on and Off the Chain.

Qiuyuan Wang, Lanju Kong, Lizhen Cui

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

Multi-modal Food Recommendation with Health-aware Knowledge Distillation.

Yixin Zhang, Xin Zhou, Fanglin Zhu, Ning Liu, Wei Guo, Yonghui Xu, Zhiqi Shen, Lizhen Cui

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

LAMRec: Label-aware Multi-view Drug Recommendation.

Yunsen Tang, Ning Liu, Haitao Yuan, Yonghe Yan, Lei Liu, Weixing Tan, Lizhen Cui

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Physics-guided Active Sample Reweighting for Urban Flow Prediction.

Wei Jiang, Tong Chen, Guanhua Ye, Wentao Zhang, Lizhen Cui, Zi Huang, Hongzhi Yin

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Towards Efficient Auction Design with ROI Constraints.

Xinyu Tang, Hongtao Lv, Yingjie Gao, Fan Wu, Lei Liu, Lizhen Cui

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

CodeM: Less Data Yields More Versatility via Ability Matrix.

Daoguang Zan, Ailun Yu, Wei Liu, Bo Shen, Shaoxin Lin, Yongshun Gong, Yafen Yao, Yan Liu, Bei Guan, Weihua Luo, Yongji Wang, Qianxiang Wang, Lizhen Cui

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Anchoring Path for Inductive Relation Prediction in Knowledge Graphs.

Zhixiang Su, Di Wang, Chunyan Miao, Lizhen Cui

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Non-Stationary Multi-UAV Cooperative Channel Model for 6G Massive MIMO mmWave Communications.

Lu Bai, Ziwei Huang, Lizhen Cui, Xiang Cheng

IEEE Trans. Wirel. Commun., December, 2023

Towards Personalized Federated Learning.

Alysa Ziying Tan, Han Yu, Lizhen Cui, Qiang Yang

IEEE Trans. Neural Networks Learn. Syst., December, 2023

EAPR: explainable and augmented patient representation learning for disease prediction.

Jiancheng Zhang, Yonghui Xu, Bicui Ye, Yibowen Zhao, Xiaofang Sun, Qi Meng, Yang Zhang, Lizhen Cui

Health Inf. Sci. Syst., December, 2023

Modeling Long- and Short-Term User Preferences via Self-Supervised Learning for Next POI Recommendation.

Shaowei Jiang, Wei He, Lizhen Cui, Yonghui Xu, Lei Liu

ACM Trans. Knowl. Discov. Data, November, 2023

Heterogeneous Collaborative Learning for Personalized Healthcare Analytics via Messenger Distillation.

Guanhua Ye, Tong Chen, Yawen Li, Lizhen Cui, Quoc Viet Hung Nguyen, Hongzhi Yin

IEEE J. Biomed. Health Informatics, November, 2023

HealthNet: A Health Progression Network via Heterogeneous Medical Information Fusion.

Fuqiang Yu, Lizhen Cui, Huanhuan Chen, Yiming Cao, Ning Liu, Weiming Huang, Yonghui Xu, Hua Lu

IEEE Trans. Neural Networks Learn. Syst., October, 2023

MolFPG: Multi-level fingerprint-based Graph Transformer for accurate and robust drug toxicity prediction.

Saisai Teng, Chenglin Yin, Yu Wang, Xiandong Chen, Zhongmin Yan, Lizhen Cui, Leyi Wei

Comput. Biol. Medicine, September, 2023

Asymmetric similarity-preserving discrete hashing for image retrieval.

Xiuxiu Ren, Xiangwei Zheng, Lizhen Cui, Gang Wang, Huiyu Zhou

Appl. Intell., May, 2023

Few-shot partial multi-label learning via prototype rectification.

Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Carlotta Domeniconi, Xiayan Zhang, Lizhen Cui

Knowl. Inf. Syst., April, 2023

SiameseCPP: a sequence-based Siamese network to predict cell-penetrating peptides by contrastive learning.

Xin Zhang, Lesong Wei, Xiucai Ye, Kai Zhang, Saisai Teng, Zhongshen Li, Junru Jin, Min Jae Kim, Tetsuya Sakurai, Lizhen Cui, Balachandran Manavalan, Leyi Wei

Briefings Bioinform., January, 2023

Lung Cancer Subtype Diagnosis by Fusing Image-Genomics Data and Hybrid Deep Networks.

Xingze Wang, Guoxian Yu, Zhongmin Yan, Lin Wan, Wei Wang, Lizhen Cui

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Cross-Domain Credit Default Prediction via Interpretable Ensemble Transfer.

Zhida Shang, Hefeng Meng, Yibowen Zhao, Ronghua Xu, Yonghui Xu, Lizhen Cui

Int. J. Crowd Sci., 2023

Music Intervention in Human Life, Work, and Disease: A Survey.

Jia Gu, Youyang Du, Chi Zhang, Yunsen Tang, Huiguo Zhang, Yonghui Xu, Lizhen Cui

Int. J. Crowd Sci., 2023

A Critical Look at Classic Test-Time Adaptation Methods in Semantic Segmentation.

Chang'an Yi, Haotian Chen, Yifan Zhang, Yonghui Xu, Lizhen Cui

CoRR, 2023

Unsupervised Representation Learning for Time Series: A Review.

Qianwen Meng, Hangwei Qian, Yong Liu, Yonghui Xu, Zhiqi Shen, Lizhen Cui

CoRR, 2023

FedMAE: Federated Self-Supervised Learning with One-Block Masked Auto-Encoder.

Nan Yang, Xuanyu Chen, Charles Z. Liu, Dong Yuan, Wei Bao, Lizhen Cui

CoRR, 2023

A Survey on Federated Recommendation Systems.

Zehua Sun, Yonghui Xu, Yong Liu, Wei He, Yali Jiang, Fangzhao Wu, Lizhen Cui

CoRR, 2023

An reinforcement learning approach for allocating software resources.

Xiaojing Yin, Jiwei Huang, Lei Liu, Wei He, Lizhen Cui

Concurr. Comput. Pract. Exp., 2023

Interaction-level Membership Inference Attack Against Federated Recommender Systems.

Wei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Lizhen Cui, Tieke He, Hongzhi Yin

Proceedings of the ACM Web Conference 2023, 2023

Crowdsourcing-based Model Testing in Federated Learning.

Yunpeng Yi, Hongtao Lv, Tie Luo, Junfeng Yang, Lei Liu, Lizhen Cui

Proceedings of the 22nd IEEE International Conference on Trust, 2023

Continuous Input Embedding Size Search For Recommender Systems.

Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Multi-View Graph Contrastive Learning for Urban Region Representation.

Yu Zhang, Yonghui Xu, Lizhen Cui, Zhongmin Yan

Proceedings of the International Joint Conference on Neural Networks, 2023

CSP-RM: Reputation Management Decision Support for Crowdsourcing Service Providers.

Shipeng Wang, Qingzhong Li, Lizhen Cui, Yali Jiang, Zhiqi Shen, Han Yu

Proceedings of the IEEE International Conference on Web Services, 2023

TBPCS: Trustworthy Cross Department Business Process Collaboration Service Based on Blockchain.

Yuehan Su, Lanju Kong, Yongqing Zheng, Lizhen Cui, Zongshui Xiao, Baochen Zhang, Xinping Min

Proceedings of the IEEE International Conference on Web Services, 2023

ParaTra: A Parallel Transformer Inference Framework for Concurrent Service Provision in Edge Computing.

Fenglong Cai, Dong Yuan, Mengwei Xie, Wei He, Lanju Kong, Wei Guo, Yali Jiang, Lizhen Cui

Proceedings of the IEEE International Conference on Web Services, 2023

Delivery Time Prediction Using Large-Scale Graph Structure Learning Based on Quantile Regression.

Lei Zhang, Xin Zhou, Zhiwei Zeng, Yiming Cao, Yonghui Xu, Mingliang Wang, Xingyu Wu, Yong Liu, Lizhen Cui, Zhiqi Shen

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Cross-Domain Disentangled Learning for E-Commerce Live Streaming Recommendation.

Yixin Zhang, Yong Liu, Hao Xiong, Yi Liu, Fuqiang Yu, Wei He, Yonghui Xu, Lizhen Cui, Chunyan Miao

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

A Space-Time Non-Stationary and Consistent Model for 6G Multi-UAV Cooperative Channels.

Ziwei Huang, Lu Bai, Lizhen Cui, Tao Feng

Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

Sample and Feature Enhanced Few-Shot Knowledge Graph Completion.

Kai Zhang, Daokun Zhang, Ning Liu, Yonghua Yang, Yonghui Xu, Zhongmin Yan, Hui Li, Lizhen Cui

Proceedings of the Database Systems for Advanced Applications, 2023

Dual Graph Multitask Framework for Imbalanced Delivery Time Estimation.

Lei Zhang, Mingliang Wang, Xin Zhou, Xingyu Wu, Yiming Cao, Yonghui Xu, Lizhen Cui, Zhiqi Shen

Proceedings of the Database Systems for Advanced Applications, 2023

DP-MHAN: A Disease Prediction Method Based on Metapath Aggregated Heterogeneous Graph Attention Networks.

Zhe Qu, Lizhen Cui, Yonghui Xu

Proceedings of the Database Systems for Advanced Applications, 2023

CMT: Cross-modal Memory Transformer for Medical Image Report Generation.

Yiming Cao, Lizhen Cui, Lei Zhang, Fuqiang Yu, Ziheng Cheng, Zhen Li, Yonghui Xu, Chunyan Miao

Proceedings of the Database Systems for Advanced Applications, 2023

Logic Event Graph Enhanced Narrative Generation.

Caiyan Li, Lizhen Cui, Yonghui Xu, Ning Liu

Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

Towards Distributed Graph Representation Learning.

Hanlin Zhang, Yue Zhang, Wei He, Yonghui Xu, Lizhen Cui

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023

A Comprehensive Review of the Oversmoothing in Graph Neural Networks.

Xu Zhang, Yonghui Xu, Wei He, Wei Guo, Lizhen Cui

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023

A Virtual Staining Method for Immunohistochemical Images of Breast Cancer.

Guanhua Duan, Yankun Cao, Wei Guo, Lizhen Cui, Zhi Liu

Proceedings of the 16th International Congress on Image and Signal Processing, 2023

FedCIO: Efficient Exact Federated Unlearning with Clustering, Isolation, and One-shot Aggregation.

Hongyu Qiu, Yongwei Wang, Yonghui Xu, Lizhen Cui, Zhiqi Shen

Proceedings of the IEEE International Conference on Big Data, 2023

Brain Functional Residual Temporal Convolution Network for Major Depressive Disorder Recognition.

Xiaofang Sun, Wei He, Yonghui Xu, Yali Jiang, Xiangwei Zheng, Yongqing Zheng, Wei Guo, Lizhen Cui

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Advancing Precision Medicine: Treatment Regimen Recommendations via Siamese Neural Networks.

Qianwen Meng, Yonghui Xu, Fanglin Zhu, Lizhen Cui

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Time Fairness-Based Application Offloading in Mobile Edge Computing with Individual QoS Guarantee.

Mengwei Xie, Lizhen Cui, Jianxiong Liu, Wei Guo, Feng Li

Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer.

Zhixiang Su, Di Wang, Chunyan Miao, Lizhen Cui

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series.

Qianwen Meng, Hangwei Qian, Yong Liu, Lizhen Cui, Yonghui Xu, Zhiqi Shen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Utility Maximizer or Value Maximizer: Mechanism Design for Mixed Bidders in Online Advertising.

Hongtao Lv, Zhilin Zhang, Zhenzhe Zheng, Jinghan Liu, Chuan Yu, Lei Liu, Lizhen Cui, Fan Wu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

MMTN: Multi-Modal Memory Transformer Network for Image-Report Consistent Medical Report Generation.

Yiming Cao, Lizhen Cui, Lei Zhang, Fuqiang Yu, Zhen Li, Yonghui Xu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Reinforced KGs reasoning for explainable sequential recommendation.

Zhihong Cui, Hongxu Chen, Lizhen Cui, Shijun Liu, Xueyan Liu, Guandong Xu, Hongzhi Yin

World Wide Web, 2022

NoiLin: Improving adversarial training and correcting stereotype of noisy labels.

Jingfeng Zhang, Xilie Xu, Bo Han, Tongliang Liu, Lizhen Cui, Gang Niu, Masashi Sugiyama

Trans. Mach. Learn. Res., 2022

Enhancing Social Recommendation With Adversarial Graph Convolutional Networks.

Junliang Yu, Hongzhi Yin, Jundong Li, Min Gao, Zi Huang, Lizhen Cui

IEEE Trans. Knowl. Data Eng., 2022

TRSA-Net: Task Relation Spatial Co-Attention for Joint Segmentation, Quantification and Uncertainty Estimation on Paired 2D Echocardiography.

Xiaoxiao Cui, Yankun Cao, Zhi Liu, Xiaoyu Sui, Jia Mi, Yuezhong Zhang, Lizhen Cui, Shuo Li

IEEE J. Biomed. Health Informatics, 2022

GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning.

Zelei Liu, Yuanyuan Chen, Han Yu, Yang Liu, Lizhen Cui

ACM Trans. Intell. Syst. Technol., 2022

Auxiliary Learning for Relation Extraction.

Shengfei Lyu, Jin Cheng, Xingyu Wu, Lizhen Cui, Huanhuan Chen, Chunyan Miao

IEEE Trans. Emerg. Top. Comput. Intell., 2022

A Mixed-Bouncing Based Non-Stationary Model for 6G Massive MIMO mmWave UAV Channels.

Lu Bai, Ziwei Huang, Lizhen Cui, Tao Feng, Xiang Cheng

IEEE Trans. Commun., 2022

An Intelligent Genetic Scheme for Multi-Objective Collaboration Services Scheduling.

Wei Guo, Lanju Kong, Xudong Lu, Lizhen Cui

Symmetry, 2022

Wetlands Classification Using Quad-Polarimetric Synthetic Aperture Radar Through Convolutional Neural Networks Based on Polarimetric Features.

Shuaiying Zhang, Wentao An, Yue Zhang, Lizhen Cui, Chunhua Xie

Remote. Sens., 2022

Event-Stream Representation for Human Gaits Identification Using Deep Neural Networks.

Yanxiang Wang, Xian Zhang, Yiran Shen, Bowen Du, Guangrong Zhao, Lizhen Cui, Hongkai Wen

IEEE Trans. Pattern Anal. Mach. Intell., 2022

MVFStain: Multiple virtual functional stain histopathology images generation based on specific domain mapping.

Ranran Zhang, Yankun Cao, Yujun Li, Zhi Liu, Jianye Wang, Jiahuan He, Chenyang Zhang, Xiaoyu Sui, Pengfei Zhang, Lizhen Cui, Shuo Li

Medical Image Anal., 2022

Self-paced annotations of crowd workers.

Xiangping Kang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Wei Guo, Yazhou Ren, Xiayan Zhang, Lizhen Cui

Knowl. Inf. Syst., 2022

An Efficient Reinforcement Learning Game Framework for UAV-Enabled Wireless Sensor Network Data Collection.

Tong Ding, Ning Liu, Zhongmin Yan, Lei Liu, Li-zhen Cui

J. Comput. Sci. Technol., 2022

CK-Encoder: Enhanced Language Representation for Sentence Similarity.

Tao Jiang, Fengjian Kang, Wei Guo, Wei He, Lei Liu, Xudong Lu, Yonghui Xu, Lizhen Cui

Int. J. Crowd Sci., 2022

Research Roadmap of Service Ecosystems: A Crowd Intelligence Perspective.

Xiao Xue, Guanding Li, Deyu Zhou, Yepeng Zhang, Lu Zhang, Yang Zhao, Zhiyong Feng, Lizhen Cui, Zhangbing Zhou, Xiao Sun, Xudong Lu, Shizhan Chen

Int. J. Crowd Sci., 2022

Estimating urban functional distributions with semantics preserved POI embedding.

Weiming Huang, Lizhen Cui, Meng Chen, Daokun Zhang, Yao Yao

Int. J. Geogr. Inf. Sci., 2022

Joint Attention Networks with Inherent and Contextual Preference-Awareness for Successive POI Recommendation.

Haiting Zhong, Wei He, Lizhen Cui, Lei Liu, Zhongmin Yan, Kun Zhao

Data Sci. Eng., 2022

Towards AI-Empowered Crowdsourcing.

Shipeng Wang, Qingzhong Li, Lizhen Cui, Zhongmin Yan, Yonghui Xu, Zhuan Shi, Zhiqi Shen, Han Yu

CoRR, 2022

Signaling repurposable drug combinations against COVID-19 by developing the heterogeneous deep herb-graph method.

Fan Yang, Shuaijie Zhang, Wei Pan, Ruiyuan Yao, Weiguo Zhang, Yanchun Zhang, Guoyin Wang, Qianghua Zhang, Yunlong Cheng, Jihua Dong, Chunyang Ruan, Lizhen Cui, Hao Wu, Fuzhong Xue

Briefings Bioinform., 2022

StackTADB: a stacking-based ensemble learning model for predicting the boundaries of topologically associating domains (TADs) accurately in fruit flies.

Hao Wu, Pengyu Zhang, Zhaoheng Ai, Leyi Wei, Hongming Zhang, Fan Yang, Lizhen Cui

Briefings Bioinform., 2022

A design method for an intelligent manufacturing and service system for rehabilitation assistive devices and special groups.

Zilin Wang, Lizhen Cui, Wei Guo, Lei Zhao, Xin Yuan, Xiaosong Gu, Weizhong Tang, Lingguo Bu, Weiming Huang

Adv. Eng. Informatics, 2022

Unified Question Generation with Continual Lifelong Learning.

Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, Lizhen Cui

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion.

Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Quoc Viet Hung Nguyen, Lizhen Cui

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Efficient Reachability Query with Extreme Labeling Filter.

Zhixiang Su, Di Wang, Xiaofeng Zhang, Lizhen Cui, Chunyan Miao

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Are Graph Augmentations Necessary?: Simple Graph Contrastive Learning for Recommendation.

Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Lizhen Cui, Quoc Viet Hung Nguyen

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Enhancing Sequential Recommendation with Graph Contrastive Learning.

Yixin Zhang, Yong Liu, Yonghui Xu, Hao Xiong, Chenyi Lei, Wei He, Lizhen Cui, Chunyan Miao

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Is it fair? Resource allocation for differentiated services on demands.

Ran Zhang, Ning Liu, Lei Liu, Wei Zhang, Haitao Yuan, Mianxiong Dong, Lizhen Cui

Proceedings of the IEEE International Conference on Web Services, 2022

Combining User Inherent and Contextual Preferences for Online Recommendation in Location-Based Services.

Haiting Zhong, Wei He, Lizhen Cui, Lei Liu

Proceedings of the Service-Oriented Computing - 20th International Conference, 2022

Balancing Supply and Demand for Mobile Crowdsourcing Services.

Zhaoming Li, Wei He, Ning Liu, Yonghui Xu, Lizhen Cui, Kaiyuan Qi

Proceedings of the Service-Oriented Computing - 20th International Conference, 2022

Reachability Labeling for Distributed Graphs.

Junhua Zhang, Wentao Li, Lu Qin, Ying Zhang, Dong Wen, Lizhen Cui, Xuemin Lin

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

History-Aware Hierarchical Transformer for Multi-session Open-domain Dialogue System.

Tong Zhang, Yong Liu, Boyang Li, Zhiwei Zeng, Pengwei Wang, Yuan You, Chunyan Miao, Lizhen Cui

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

SAER: Sentiment-Opinion Alignment Explainable Recommendation.

Xiaoning Zong, Yong Liu, Yonghui Xu, Yixin Zhang, Zhiqi Shen, Yonghua Yang, Lizhen Cui

Proceedings of the Database Systems for Advanced Applications, 2022

Similarity-Aware Collaborative Learning for Patient Outcome Prediction.

Fuqiang Yu, Lizhen Cui, Yiming Cao, Ning Liu, Weiming Huang, Yonghui Xu

Proceedings of the Database Systems for Advanced Applications, 2022

KdTNet: Medical Image Report Generation via Knowledge-Driven Transformer.

Yiming Cao, Lizhen Cui, Fuqiang Yu, Lei Zhang, Zhen Li, Ning Liu, Yonghui Xu

Proceedings of the Database Systems for Advanced Applications, 2022

Clinical Phenotyping Prediction via Auxiliary Task Selection and Adaptive Shared-Space Correction.

Xiao Yang, Ning Liu, Jianbo Qiao, Haitao Yuan, Teng Ma, Yonghui Xu, Lizhen Cui

Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

XIVA: An Intelligent Voice Assistant with Scalable Capabilities for Educational Metaverse.

Jun Lin, Yonghui Xu, Wei Guo, Lizhen Cui, Chunyan Miao

Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

Towards Heterogeneous Federated Learning.

Yue Huang, Yonghui Xu, Lanju Kong, Qingzhong Li, Lizhen Cui

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2022

Temporal Hypergraph for Personalized Clinical Pathway Recommendation.

Fanglin Zhu, Shunyu Chen, Yonghui Xu, Wei He, Fuqiang Yu, Xu Zhang, Lizhen Cui

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Feature-Guided Logical Perception Network for Health Risk Prediction.

Fuqiang Yu, Lizhen Cui, Yiming Cao, Fanglin Zhu, Yonghui Xu, Ning Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

A high-concurrency blockchain model for large-scale medical cohort data storage and sharing.

Xiaolin Song, Yuehan Su, Lanju Kong, Lizhen Cui, Wei Guo, Qingzhong Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Disease Risk Prediction via Heterogeneous Graph Attention Networks.

Zhe Qu, Lizhen Cui, Yonghui Xu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

KdINet: Knowledge-driven Interpretable Network for Medical Imaging Diagnosis.

Yiming Cao, Lizhen Cui, Lei Zhang, Fuqiang Yu, Zhen Li, Yonghui Xu, Chunyan Miao

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

CCOM: Cost-Efficient and Collusion-Resistant Oracle Mechanism for Smart Contracts.

Xiaofei Wu, Hao Wang, Chunpeng Ge, Lu Zhou, Qiong Huang, Lanju Kong, Lizhen Cui, Zhe Liu

Proceedings of the Information Security and Privacy - 27th Australasian Conference, 2022

2021

Residual Attention Network-Based Confidence Estimation Algorithm for Non-Holonomic Constraint in GNSS/INS Integrated Navigation System.

Yimin Xiao, Haiyong Luo, Fang Zhao, Fan Wu, Xile Gao, Qu Wang, Lizhen Cui

IEEE Trans. Veh. Technol., 2021

LeaD: Learn to Decode Vibration-based Communication for Intelligent Internet of Things.

Guangrong Zhao, Bowen Du, Yiran Shen, Zhenyu Lao, Lizhen Cui, Hongkai Wen

ACM Trans. Sens. Networks, 2021

FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection.

Guanhua Ye, Hongzhi Yin, Tong Chen, Hongxu Chen, Lizhen Cui, Xiangliang Zhang

IEEE J. Biomed. Health Informatics, 2021

Disease Prediction via Graph Neural Networks.

Zhenchao Sun, Hongzhi Yin, Hongxu Chen, Tong Chen, Lizhen Cui, Fan Yang

IEEE J. Biomed. Health Informatics, 2021

Quantitative Analysis of the Research Trends and Areas in Grassland Remote Sensing: A Scientometrics Analysis of Web of Science from 1980 to 2020.

Tong Li, Lizhen Cui, Zhihong Xu, Ronghai Hu, Pawan K. Joshi, Xiufang Song, Li Tang, Anquan Xia, Yanfen Wang, Da Guo, Jiapei Zhu, Yanbin Hao, Lan Song, Xiaoyong Cui

Remote. Sens., 2021

Group task allocation approach for heterogeneous software crowdsourcing tasks.

Xiaojing Yin, Jiwei Huang, Wei He, Wei Guo, Han Yu, Lizhen Cui

Peer-to-Peer Netw. Appl., 2021

ProAID: path-based reasoning for self-attentional disease prediction.

Xudong Lu, Lizhen Cui, Zhenchao Sun, Yuening Zhu

Knowl. Inf. Syst., 2021

Noise-robust Deep Cross-Modal Hashing.

Runmin Wang, Guoxian Yu, Hong Zhang, Maozu Guo, Lizhen Cui, Xiangliang Zhang

Inf. Sci., 2021

A hybrid pre-joined service network in graph database and memory for service composition.

Jing Li, Ming Zhang, Ming Zhu, Lizhen Cui, Yuhong Yan, Bowen Song

Int. J. Web Grid Serv., 2021

A portable HCI system-oriented EEG feature extraction and channel selection for emotion recognition.

Xiangwei Zheng, Xiaofeng Liu, Yuang Zhang, Lizhen Cui, Xiaomei Yu

Int. J. Intell. Syst., 2021

Research on time synchronization of linear pulse-coupled oscillators model with delay in nearest neighbor wireless multi-hop networks.

Lizhen Cui, Jian Cao, Zhulin An, Yong Yang, Qianqian Guo

Int. J. Distributed Sens. Networks, 2021

Behavioral data assists decisions: exploring the mental representation of digital-self.

Yixin Zhang, Lizhen Cui, Wei He, Xudong Lu, Shipeng Wang

Int. J. Crowd Sci., 2021

Achieving Approximate Global Optimization of Truth Inference for Crowdsourcing Microtasks.

Lizhen Cui, Jing Chen, Wei He, Hui Li, Wei Guo, Zhiyuan Su

Data Sci. Eng., 2021

Graph Augmentation-Free Contrastive Learning for Recommendation.

Junliang Yu, Hongzhi Yin, Xin Xia, Lizhen Cui, Quoc Viet Hung Nguyen

CoRR, 2021

Cross-modal Zero-shot Hashing by Label Attributes Embedding.

Runmin Wang, Guoxian Yu, Lei Liu, Lizhen Cui, Carlotta Domeniconi, Xiangliang Zhang

CoRR, 2021

Open-Set Crowdsourcing using Multiple-Source Transfer Learning.

Guangyang Han, Guoxian Yu, Lei Liu, Lizhen Cui, Carlotta Domeniconi, Xiangliang Zhang

CoRR, 2021

Crowdsourcing with Meta-Workers: A New Way to Save the Budget.

Guangyang Han, Guoxian Yu, Lizhen Cui, Carlotta Domeniconi, Xiangliang Zhang

CoRR, 2021

Major Depressive Disorder Recognition and Cognitive Analysis Based on Multi-layer Brain Functional Connectivity Networks.

Xiaofang Sun, Xiangwei Zheng, Yonghui Xu, Lizhen Cui, Bin Hu

CoRR, 2021

PipAttack: Poisoning Federated Recommender Systems forManipulating Item Promotion.

Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Quoc Viet Hung Nguyen, Lizhen Cui

CoRR, 2021

Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering.

Chang Liu, Han Yu, Boyang Li, Zhiqi Shen, Zhanning Gao, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao

CoRR, 2021

NoiLIn: Do Noisy Labels Always Hurt Adversarial Training?

Jingfeng Zhang, Xilie Xu, Bo Han, Tongliang Liu, Gang Niu, Lizhen Cui, Masashi Sugiyama

CoRR, 2021

Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems.

Sixiao Zhang, Hongxu Chen, Xiao Ming, Lizhen Cui, Hongzhi Yin, Guandong Xu

CoRR, 2021

iDNA-ABT: advanced deep learning model for detecting DNA methylation with adaptive features and transductive information maximization.

Yingying Yu, Wenjia He, Junru Jin, Guobao Xiao, Lizhen Cui, Rao Zeng, Leyi Wei

Bioinform., 2021

Learning embedding features based on multisense-scaled attention architecture to improve the predictive performance of anticancer peptides.

Wenjia He, Yu Wang, Lizhen Cui, Ran Su, Leyi Wei

Bioinform., 2021

Computational prediction and interpretation of cell-specific replication origin sites from multiple eukaryotes by exploiting stacking framework.

Leyi Wei, Wenjia He, Adeel Malik, Ran Su, Lizhen Cui, Balachandran Manavalan

Briefings Bioinform., 2021

Iterative feature representation algorithm to improve the predictive performance of N7-methylguanosine sites.

Chichi Dai, Pengmian Feng, Lizhen Cui, Ran Su, Wei Chen, Leyi Wei

Briefings Bioinform., 2021

PSSP-MVIRT: peptide secondary structure prediction based on a multi-view deep learning architecture.

Xiao Cao, Wenjia He, Zitan Chen, Yifan Li, Kexin Wang, Hongbo Zhang, Lesong Wei, Lizhen Cui, Ran Su, Leyi Wei

Briefings Bioinform., 2021

Optimizing Smart Grid Operations from the Demand Side.

Yongqing Zheng, Han Yu, Yuliang Shi, Kun Zhang, Shuai Zhen, Lizhen Cui, Cyril Leung, Chunyan Miao

AI Mag., 2021

Graph Embedding for Recommendation against Attribute Inference Attacks.

Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Lizhen Cui, Xiangliang Zhang

Proceedings of the WWW '21: The Web Conference 2021, 2021

LMFF: efficient and scalable layered materials force field on heterogeneous many-core processors.

Ping Gao, Xiaohui Duan, Jiaxu Guo, Jin Wang, Zhenya Song, Lizhen Cui, Xiangxu Meng, Xin Liu, Wusheng Zhang, Ming Ma, Guohui Li, Dexun Chen, Haohuan Fu, Wei Xue, Weiguo Liu, Guangwen Yang

Proceedings of the International Conference for High Performance Computing, 2021

Where are we in embedding spaces?

Sixiao Zhang, Hongxu Chen, Xiao Ming, Lizhen Cui, Hongzhi Yin, Guandong Xu

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Few-Shot Partial-Label Learning.

Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Lizhen Cui, Carlotta Domeniconi

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Enhancing Viewing Experience of Generated Visual Storylines for Promotional Videos.

Chang Liu, Han Yu, Zhiqi Shen, Ian Dixon, Yingxue Yu, Zhanning Gao, Pan Wang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Few-Shot Partial Multi-Label Learning.

Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Carlotta Domeniconi, Lizhen Cui

Proceedings of the IEEE International Conference on Data Mining, 2021

Crowdsourcing with Self-paced Workers.

Xiangping Kang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Wei Guo, Yazhou Ren, Lizhen Cui

Proceedings of the IEEE International Conference on Data Mining, 2021

A Survey on Knowledge Enhanced EHR Data Mining.

Jiancheng Zhang, Xiao Yang, Hefeng Meng, Zhiqiang Lin, Yonghui Xu, Lizhen Cui

Proceedings of the ICCSE '21: 5th International Conference on Crowd Science and Engineering, Jinan, China, October 16, 2021

Credit Default Prediction via Explainable Ensemble Learning.

Ronghua Xu, Hefeng Meng, Zhiqiang Lin, Yonghui Xu, Lizhen Cui, Jun Lin

Proceedings of the ICCSE '21: 5th International Conference on Crowd Science and Engineering, Jinan, China, October 16, 2021

Knowledge Distillation In Medical Data Mining: A Survey.

Hefeng Meng, Zhiqiang Lin, Fan Yang, Yonghui Xu, Lizhen Cui

Proceedings of the ICCSE '21: 5th International Conference on Crowd Science and Engineering, Jinan, China, October 16, 2021

Diversity-Promoting Deep Reinforcement Learning for Interactive Recommendation.

Yong Liu, Zhiqi Shen, Yinan Zhang, Lizhen Cui

Proceedings of the ICCSE '21: 5th International Conference on Crowd Science and Engineering, Jinan, China, October 16, 2021

Practices of Using Blockchain Technology in e-Learning.

Jun Lin, Bei Li, Lizhen Cui, Chunyan Miao

Proceedings of the ICCSE '21: 5th International Conference on Crowd Science and Engineering, Jinan, China, October 16, 2021

Music Rhythm Matching Based on Dynamic Step Frequency.

Youyang Du, Chi Zhang, Escoffier Wang, Yunsen Tang, Yonghui Xu, Lizhen Cui

Proceedings of the ICCSE '21: 5th International Conference on Crowd Science and Engineering, Jinan, China, October 16, 2021

Personality Traits Prediction Based on Sparse Digital Footprints via Discriminative Matrix Factorization.

Shipeng Wang, Daokun Zhang, Lizhen Cui, Xudong Lu, Lei Liu, Qingzhong Li

Proceedings of the Database Systems for Advanced Applications, 2021

Noise-Resistant Deep Metric Learning With Ranking-Based Instance Selection.

Chang Liu, Han Yu, Boyang Li, Zhiqi Shen, Zhanning Gao, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Self-Supervised Graph Co-Training for Session-based Recommendation.

Xin Xia, Hongzhi Yin, Junliang Yu, Yingxia Shao, Lizhen Cui

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Hyperbolic Hypergraphs for Sequential Recommendation.

Yicong Li, Hongxu Chen, Xiangguo Sun, Zhenchao Sun, Lin Li, Lizhen Cui, Philip S. Yu, Guandong Xu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Multi-modal Information Fusion-powered Regional Covid-19 Epidemic Forecasting.

Honglu Zhang, Yonghui Xu, Lei Liu, Xudong Lu, Xijie Lin, Zhongmin Yan, Lizhen Cui, Chunyan Miao

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Personalized Clinical Pathway Recommendation via Attention Based Pre-training.

Xijie Lin, Yuan Li, Yonghui Xu, Wei Guo, Wei He, Honglu Zhang, Lizhen Cui, Chunyan Miao

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation.

Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, Xiangliang Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Securing Cyber-Physical Social Interactions on Wrist-Worn Devices.

Yiran Shen, Bowen Du, Weitao Xu, Chengwen Luo, Bo Wei, Lizhen Cui, Hongkai Wen

ACM Trans. Sens. Networks, 2020

Deep RetinaNet for Dynamic Left Ventricle Detection in Multiview Echocardiography Classification.

Meijun Yang, Xiaoyan Xiao, Zhi Liu, Longkun Sun, Wei Guo, Lizhen Cui, Dianmin Sun, Pengfei Zhang, Guang Yang

Sci. Program., 2020

Discovering Influential Positions in RFID-Based Indoor Tracking Data.

Ye Jin, Lizhen Cui

Inf., 2020

Service composition based on pre-joined service network in graph database.

Jing Li, Ming Zhu, Miao Yu, Yuhong Yan, Lizhen Cui

Int. J. Web Grid Serv., 2020

Feature data processing: Making medical data fit deep neural networks.

Yingying Xu, Zhi Liu, Yujun Li, Haixia Hou, Yankun Cao, Yuefeng Zhao, Wei Guo, Lizhen Cui

Future Gener. Comput. Syst., 2020

AdaptScale: An adaptive data scaling controller for improving the multiple performance requirements in Clouds.

Yuliang Shi, Mianxiong Dong, Wenbin Zhang, Lei Liu, Yongqing Zheng, Lizhen Cui, Junhua Zhang

Future Gener. Comput. Syst., 2020

Enhance Social Recommendation with Adversarial Graph Convolutional Networks.

Junliang Yu, Hongzhi Yin, Jundong Li, Min Gao, Zi Huang, Lizhen Cui

CoRR, 2020

RSCVC: Row-based semantic cache with incremental versioning consistency.

Zhe Yang, Kun Ma, Xiaoli Zhang, Lizhen Cui, Bo Yang

Concurr. Comput. Pract. Exp., 2020

Detection and diagnosis of myocarditis in young patients using ECG analysis based on artificial neural networks.

Yujun Li, Meijun Yang, Zhi Liu, Yuefeng Zhao, Dongmei Jiang, Lizhen Cui, Mingyu Wang

Computing, 2020

Automatic diagnosis of fungal keratitis using data augmentation and image fusion with deep convolutional neural network.

Zhi Liu, Yankun Cao, Yujun Li, Xiaoyan Xiao, Qingchen Qiu, Meijun Yang, Yuefeng Zhao, Lizhen Cui

Comput. Methods Programs Biomed., 2020

Detecting vulnerable plaque with vulnerability index based on convolutional neural networks.

Yankun Cao, Xiaoyan Xiao, Zhi Liu, Meijun Yang, Dianmin Sun, Wei Guo, Lizhen Cui, Pengfei Zhang

Comput. Medical Imaging Graph., 2020

Addressing the Challenges of Government Service Provision with AI.

Yongqing Zheng, Han Yu, Lizhen Cui, Chunyan Miao, Cyril Leung, Yang Liu, Qiang Yang

AI Mag., 2020

Hierarchical Long Short-Term Memory Network for Cyberattack Detection.

Haixia Hou, Yingying Xu, Menghan Chen, Zhi Liu, Wei Guo, Mingcheng Gao, Yang Xin, Lizhen Cui

IEEE Access, 2020

A Category-Aware Deep Model for Successive POI Recommendation on Sparse Check-in Data.

Fuqiang Yu, Lizhen Cui, Wei Guo, Xudong Lu, Qingzhong Li, Hua Lu

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection.

Shijie Zhang, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Cranial Implant Design Using a Deep Learning Method with Anatomical Regularization.

Bomin Wang, Zhi Liu, Yujun Li, Xiaoyan Xiao, Ranran Zhang, Yankun Cao, Lizhen Cui, Pengfei Zhang

Proceedings of the Towards the Automatization of Cranial Implant Design in Cranioplasty, 2020

Unsupervised Graph Domain Adaptation for Neurodevelopmental Disorders Diagnosis.

Bomin Wang, Zhi Liu, Yujun Li, Xiaoyan Xiao, Ranran Zhang, Yankun Cao, Lizhen Cui, Pengfei Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Multi-interest Aware Recommendation in CrowdIntell Network.

Yixin Zhang, Wei He, Lizhen Cui, Lei Liu, Zhongmin Yan

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

Task Assignment with Consensus Decision for Spatial Crowdsouring.

Xiaomeng Lian, Wei He, Lizhen Cui, Hui Li, Lei Liu

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

BDANN: BERT-Based Domain Adaptation Neural Network for Multi-Modal Fake News Detection.

Tong Zhang, Di Wang, Huanhuan Chen, Zhiwei Zeng, Wei Guo, Chunyan Miao, Lizhen Cui

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Learning Personalized Itemset Mapping for Cross-Domain Recommendation.

Yinan Zhang, Yong Liu, Peng Han, Chunyan Miao, Lizhen Cui, Baoli Li, Haihong Tang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

An AI-empowered Visual Storyline Generator.

Chang Liu, Zhao Yong Lim, Han Yu, Zhiqi Shen, Ian Dixon, Zhanning Gao, Pan Wang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Answer Aggregation for Crowdsourcing Microtasks using Approximate Global Optimal Searching.

Lizhen Cui, Jing Chen, Wei He, Wei Guo

Proceedings of the 2020 IEEE International Conference on Web Services, 2020

Attacks Which Do Not Kill Training Make Adversarial Learning Stronger.

Jingfeng Zhang, Xilie Xu, Bo Han, Gang Niu, Lizhen Cui, Masashi Sugiyama, Mohan S. Kankanhalli

Proceedings of the 37th International Conference on Machine Learning, 2020

Group Recommendation with Latent Voting Mechanism.

Lei Guo, Hongzhi Yin, Qinyong Wang, Bin Cui, Zi Huang, Lizhen Cui

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Commonsense Knowledge Adversarial Dataset that Challenges ELECTRA.

Gongqi Lin, Yuan Miao, Xiaoyong Yang, Wenwu Ou, Lizhen Cui, Wei Guo, Chunyan Miao

Proceedings of the 16th International Conference on Control, 2020

Predicting Hospital Readmission Using Graph Representation Learning Based on Patient and Disease Bipartite Graph.

Zhiqi Liu, Lizhen Cui, Wei Guo, Wei He, Hui Li, Jun Gao

Proceedings of the Database Systems for Advanced Applications, 2020

Detection of Wrong Disease Information Using Knowledge-Based Embedding and Attention.

Wei Ge, Wei Guo, Lizhen Cui, Hui Li, Lijin Liu

Proceedings of the Database Systems for Advanced Applications, 2020

An Iterative Feedback Mechanism for Auto-Optimizing Software Resource Allocation in Multi-Tier Web Systems.

Xiaojing Yin, Jiwei Huang, Lei Liu, Wei He, Lizhen Cui

Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

Epistasis Detection using Heterogeneous Bio-molecular Network.

Huiling Zhang, Jun Wang, Guoxian Yu, Lizhen Cui, Maozu Guo

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

CLUE: Personalized Hospital Readmission Prediction Against Data Insufficiency under Imbalanced-Data Environment.

Qianwen Meng, Lizhen Cui, Guoxian Yu, Han Yu, Wei Guo, Hui Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Predicting Adverse Drug-Drug Interactions via Semi-supervised Variational Autoencoders.

Meihao Hou, Fan Yang, Lizhen Cui, Wei Guo

Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

A Pruned DOM-Based Iterative Strategy for Approximate Global Optimization in Crowdsourcing Microtasks.

Lizhen Cui, Jing Chen, Wei He, Hui Li, Wei Guo

Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

PIDS: An Intelligent Electric Power Management Platform.

Yongqing Zheng, Han Yu, Yuliang Shi, Kun Zhang, Shuai Zhen, Lizhen Cui, Cyril Leung, Chunyan Miao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Generating Engaging Promotional Videos for E-commerce Platforms (Student Abstract).

Chang Liu, Han Yu, Yi Dong, Zhiqi Shen, Yingxue Yu, Ian Dixon, Zhanning Gao, Pan Wang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Personality Traits Prediction Based on Users' Digital Footprints in Social Networks via Attention RNN.

Shipeng Wang, Lizhen Cui, Lei Liu, Xudong Lu, Qingzhong Li

Proceedings of the 2020 IEEE International Conference on Services Computing, 2020

A Pre-joined Service Composition Approach with Dynamic Services in a Graph Database.

Jing Li, Ming Zhu, Miao Yu, Yuhong Yan, Lizhen Cui

Proceedings of the 2020 IEEE International Conference on Services Computing, 2020

D-colSimulation: A Distributed Approach for Frequent Graph Pattern Mining based on colSimulation in a Single Large Graph.

Guanqi Hua, Junhua Zhang, Lizhen Cui, Wei Guo, Xudong Lu, Wei He

Proceedings of the 2020 IEEE International Conference on Services Computing, 2020

2019

Power Rationing for Tradeoff Between Energy Consumption and Profit in Multimedia Heterogeneous Networks.

Lei Liu, Song Xu, Lizhen Cui, Geyong Min, Haozhe Wang

IEEE J. Sel. Areas Commun., 2019

Projecting real world into CrowdIntell network: a methodology.

Shipeng Wang, Lizhen Cui, Lei Liu, Xudong Lu, Qingzhong Li

Int. J. Crowd Sci., 2019

An anomaly detection method to improve the intelligent level of smart articles based on multiple group correlation probability models.

Xudong Lu, Shipeng Wang, Fengjian Kang, Shijun Liu, Hui Li, Xiangzhen Xu, Lizhen Cui

Int. J. Crowd Sci., 2019

Bridges the crowd: rim chain framework.

Pengze Li, Ran Zhang, Lei Liu, Lizhen Cui, Qingzhong Li, Guangpeng Zhou

Int. J. Crowd Sci., 2019

A highly efficient algorithm towards optimal data storage and regeneration cost in multiple clouds.

Junhua Zhang, Dong Yuan, Lizhen Cui, Bing Bing Zhou

Future Gener. Comput. Syst., 2019

Diversity-Promoting Deep Reinforcement Learning for Interactive Recommendation.

Yong Liu, Yinan Zhang, Qiong Wu, Chunyan Miao, Lizhen Cui, Binqiang Zhao, Yin Zhao, Lu Guan

CoRR, 2019

Heterogeneous network-based chronic disease progression mining.

Chenfei Sun, Qingzhong Li, Lizhen Cui, Hui Li, Yuliang Shi

Big Data Min. Anal., 2019

Abnormal Group-Based Joint Medical Fraud Detection.

Chenfei Sun, Zhongmin Yan, Qingzhong Li, Yongqing Zheng, Xudong Lu, Lizhen Cui

IEEE Access, 2019

Automatic Knowledge Discovery in Lecturing Videos via Deep Representation.

Jinjiao Lin, Chunfang Liu, Yibin Li, Lizhen Cui, Rui Wang, Xudong Lu, Yan Zhang, Jian Lian

IEEE Access, 2019

An Interpretable Disease Onset Predictive Model Using Crossover Attention Mechanism From Electronic Health Records.

Wei Guo, Wei Ge, Lizhen Cui, Hui Li, Lanju Kong

IEEE Access, 2019

Mixed Reality Storytelling Environments Based on Tangible User Interface: Take Origami as an Example.

Yingjie Song, Nianmei Zhou, Qianhui Sun, Wei Gai, Juan Liu, Yulong Bian, Shijun Liu, Lizhen Cui, Chenglei Yang

Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces, 2019

Optimization Strategies for Real-Time Rendering of Virtual Scenes on Heterogeneous Mobile Devices.

Wei Gai, Xiyu Bao, Meng Qi, Yafang Wang, Juan Liu, Gerard de Melo, Lu Wang, Lizhen Cui, Chenglei Yang, Xiangxu Meng

Proceedings of the 2019 IEEE SmartWorld, 2019

Enhancing Collaborative Filtering with Generative Augmentation.

Qinyong Wang, Hongzhi Yin, Hao Wang, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Balancing of the quality-of-service, energy and revenue of base stations in wireless networks via tullock contests.

Lei Liu, Song Xu, Jia Hu, Lizhen Cui, Geyong Min

Proceedings of the International Symposium on Quality of Service, 2019

Three-Dimensional Reconstruction of Intravascular Ultrasound Images Based on Deep Learning.

Yankun Cao, Zhi Liu, Xiaoyan Xiao, Yushuo Zheng, Lizhen Cui, Yixian Du, Pengfei Zhang

Proceedings of the Digital TV and Wireless Multimedia Communication, 2019

Promoting Higher Revenues for Both Crowdsourcer and Crowds in Crowdsourcing via Contest.

Song Xu, Lei Liu, Lizhen Cui, Qingzhong Li, Zhongmin Yan

Proceedings of the 2019 IEEE International Conference on Web Services, 2019

FASS: A Fairness-Aware Approach for Concurrent Service Selection with Constraints.

Songyuan Li, Jiwei Huang, Bo Cheng, Lizhen Cui, Yuliang Shi

Proceedings of the 2019 IEEE International Conference on Web Services, 2019

Value-Oriented Ranking of Online Reviews Based on Reviewer-Influenced Graph.

Yiming Cao, Lizhen Cui, Wei He

Proceedings of the Database Systems for Advanced Applications, 2019

A Dynamic Difficulty-Sensitive Worker Distribution Model for Crowdsourcing Quality Management.

Miao Zheng, Lizhen Cui, Wei He, Wei Guo, Xudong Lu

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2019

Generating Persuasive Visual Storylines for Promotional Videos.

Chang Liu, Yi Dong, Han Yu, Zhiqi Shen, Zhanning Gao, Pan Wang, Changgong Zhang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

A Method of Analysis on Consumer Behavior Characteristics Based on Self-supervised Learning.

Bin Liu, Wei Guo, Xudong Lu, Meng Xu, Lizhen Cui

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2019

Infer Latent Privacy for Attribute Network in Knowledge Graph.

Zeyuan Cui, Li Pan, Shijun Liu, Lizhen Cui

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Biclustering-sim: A Novel Method to Identify Abnormal Co-occurrence Medical Visit Behaviors.

Ruican Li, Hui Li, Wei Guo, Lizhen Cui

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Ethically Aligned Multi-agent Coordination to Enhance Social Welfare.

Han Yu, Zhiqi Shen, Lizhen Cui, Yongqing Zheng, Victor R. Lesser

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Ethically Aligned Opportunistic Scheduling for Productive Laziness.

Han Yu, Chunyan Miao, Yongqing Zheng, Lizhen Cui, Simon Fauvel, Cyril Leung

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

2018

CEPTM: A Cross-Edge Model for Diverse Personalization Service and Topic Migration in MEC.

Hongchen Wu, Huaxiang Zhang, Lizhen Cui, Xinjun Wang

Wirel. Commun. Mob. Comput., 2018

A Genetic Algorithm Based Data Replica Placement Strategy for Scientific Applications in Clouds.

Lizhen Cui, Junhua Zhang, Lingxi Yue, Yuliang Shi, Hui Li, Dong Yuan

IEEE Trans. Serv. Comput., 2018

An Algorithm for Finding the Minimum Cost of Storing and Regenerating Datasets in Multiple Clouds.

Dong Yuan, Lizhen Cui, Wenhao Li, Xiao Liu, Yun Yang

IEEE Trans. Cloud Comput., 2018

A Heuristic Model for Supporting Users' Decision-Making in Privacy Disclosure for Recommendation.

Hongchen Wu, Huaxiang Zhang, Lizhen Cui, Xinjun Wang

Secur. Commun. Networks, 2018

Data Driven Congestion Trends Prediction of Urban Transportation.

Rui Jia, Pengcheng Jiang, Lei Liu, Lizhen Cui, Yuliang Shi

IEEE Internet Things J., 2018

TPGraph: a hospital readmission prediction method based on temporal phenotype graphs.

Lizhen Cui, Xiangzhen Xu, Shijun Liu, Hui Li, Zhiqi Liu

Int. J. Data Min. Bioinform., 2018

Towards data-driven software engineering skills assessment.

Jun Lin, Han Yu, Zhengxiang Pan, Zhiqi Shen, Lizhen Cui

Int. J. Crowd Sci., 2018

Performance measurement of data flow processing employing software defined architecture.

Lei Liu, Yongjian Ren, Lizhen Cui, Yuliang Shi, Qingzhong Li

Future Gener. Comput. Syst., 2018

K-Connected Cores Computation in Large Dual Networks.

Lizhen Cui, Lingxi Yue, Dong Wen, Lu Qin

Data Sci. Eng., 2018

Automatic Sleep Stage Classification Based on Convolutional Neural Network and Fine-Grained Segments.

Zhihong Cui, Xiangwei Zheng, Xuexiao Shao, Lizhen Cui

Complex., 2018

A New Motor Imagery EEG Classification Method FB-TRCSP+RF Based on CSP and Random Forest.

Ranran Zhang, Xiaoyan Xiao, Zhi Liu, Wei Jiang, Jianwen Li, Yankun Cao, Jianmin Ren, Dongmei Jiang, Lizhen Cui

IEEE Access, 2018

Automatic Tongue Verification Based on Appearance Manifold Learning in Image Sequences for the Internet of Medical Things Platform.

Yang Xin, Yankun Cao, Zhi Liu, Yuling Chen, Lizhen Cui, Yaowen Zhu, Haixia Hou, Guangzhe Zhao, Mingyu Wang

IEEE Access, 2018

A Benchmark Database and Baseline Evaluation for Fall Detection Based on Wearable Sensors for the Internet of Medical Things Platform.

Zhi Liu, Yankun Cao, Lizhen Cui, Jiahua Song, Guangzhe Zhao

IEEE Access, 2018

An Efficient Fraud Identification Method Combining Manifold Learning and Outliers Detection in Mobile Healthcare Services.

Yongchang Gao, Chenfei Sun, Ruican Li, Qingzhong Li, Lizhen Cui, Bin Gong

IEEE Access, 2018

Mention Recommendation for Multimodal Microblog with Cross-attention Memory Network.

Renfeng Ma, Qi Zhang, Jiawen Wang, Lizhen Cui, Xuanjing Huang

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

User Location Prediction in Mobile Crowdsourcing Services.

Yun Jiang, Wei He, Lizhen Cui, Qian Yang

Proceedings of the Service-Oriented Computing - 16th International Conference, 2018

CrowdMerge: Achieving Optimal Crowdsourcing Quality Management by Sequent Merger.

Yinan Zhang, Lizhen Cui, Jiwei Huang, Chunyan Miao

Proceedings of the 3rd International Conference on Crowd Science and Engineering, 2018

LBTask: A Benchmark for Spatial Crowdsourcing Platforms.

Qian Yang, Lizhen Cui, Miao Zheng, Shijun Liu, Wei Guo, Xudong Lu, Yongqing Zheng, Qingzhong Li

Proceedings of the 3rd International Conference on Crowd Science and Engineering, 2018

Spatial Crowdsourcing Task Assignment Based on the Quality of Workers.

Yun Jiang, Lizhen Cui, Yiming Cao, Lei Liu, Wei He, Li Pan, Yongqing Zheng, Qingzhong Li

Proceedings of the 3rd International Conference on Crowd Science and Engineering, 2018

Answer Aggregation of Crowdsourcing Employing an Improved EM-Based Approach.

Ran Zhang, Lei Liu, Lizhen Cui, Wei He, Hui Li

Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

Rim Chain: Bridge the Provision and Demand Among the Crowd.

Pengze Li, Lei Liu, Lizhen Cui, Qingzhong Li, Yongqing Zheng, Guangpeng Zhou

Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

MulAV: Multilevel and Explainable Detection of Android Malware with Data Fusion.

Qun Li, Zhenxiang Chen, Qiben Yan, Shanshan Wang, Kun Ma, Yuliang Shi, Lizhen Cui

Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

Artificial Intelligence Powered MOOCs: A Brief Survey.

Simon Fauvel, Han Yu, Chunyan Miao, Lizhen Cui, Hengjie Song, Liang Zhang, Xiaoming Li, Cyril Leung

Proceedings of the IEEE International Conference on Agents, 2018

Resource Scheduling for Energy-Efficient in Cloud-Computing Data Centers.

Song Xu, Lei Liu, Lizhen Cui, Xiujuan Chang, Hui Li

Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

Opportunistic Work-Rest Scheduling for Productive Aging.

Han Yu, Chunyan Miao, Lizhen Cui, Yiqiang Chen, Simon Fauvel, Qiang Yang

Proceedings of the Social Computing and Social Media. Technologies and Analytics, 2018

K-Connected Cores Computation in Large Dual Networks.

Lingxi Yue, Dong Wen, Lizhen Cui, Lu Qin, Yongqing Zheng

Proceedings of the Database Systems for Advanced Applications, 2018

Predicting Clinical Visits Using Recurrent Neural Networks and Demographic Information.

Wei Wei Wang, Hui Li, Lizhen Cui, Xiaoguang Hong, Zhongmin Yan

Proceedings of the 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, 2018

Spatial Task Allocation Based on User Trajectory Prediction.

Yun Jiang, Wei He, Lizhen Cui, Qian Yang, Zhaohui Peng

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2018

Task Assignments in Complex Collaborative Crowdsourcing.

Wei He, Lizhen Cui, Cheng Huang

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2018

A Collaboration Services Scheduling Method Based on Intelligent Genetic Algorithm.

Wei Guo, Meng Xu, Weixia Xu, Lizhen Cui

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2018

An Efficient Algorithm for Runtime Minimum Cost Data Storage and Regeneration for Business Process Management in Multiple Clouds.

Junhua Zhang, Dong Yuan, Lizhen Cui, Bing Bing Zhou

Proceedings of the Business Process Management Workshops, 2018

AstroBase: Distributed Long-Term Astronomical Database.

Kenan Liang, Wei Guo, Lizhen Cui, Meng Xu, Qingzhong Li

Proceedings of the Big Scientific Data Management, 2018

SmartHS: An AI Platform for Improving Government Service Provision.

Yongqing Zheng, Han Yu, Lizhen Cui, Chunyan Miao, Cyril Leung, Qiang Yang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

A Framework for Online Process Concept Drift Detection from Event Streams.

Na Liu, Jiwei Huang, Lizhen Cui

Proceedings of the 2018 IEEE International Conference on Services Computing, 2018

2017

A Privacy Protection Evaluation Mechanism for Dynamic Data Based on Chunk-Confusion.

Yuliang Shi, Yu Chen, Zhongmin Zhou, Li-zhen Cui

J. Signal Process. Syst., 2017

Crowd wisdom drives intelligent manufacturing.

Jiaqi Lu, Shijun Liu, Lizhen Cui, Li Pan, Lei Wu

Int. J. Crowd Sci., 2017

Complex crowdsourcing task allocation strategies employing supervised and reinforcement learning.

Lizhen Cui, Xudong Zhao, Lei Liu, Han Yu, Yuan Miao

Int. J. Crowd Sci., 2017

SonicOperator: Ultrasonic gesture recognition with deep neural network on mobiles.

Xingyu Li, Hongjun Dai, Lizhen Cui, Ya Wang

Proceedings of the 2017 IEEE SmartWorld, 2017

QoS evaluation of prioritized data plane service employing queueing model.

Yongjian Ren, Lei Liu, Lizhen Cui, Yuliang Shi, Dongyu Zheng

Proceedings of the 25th IEEE/ACM International Symposium on Quality of Service, 2017

Congestion Prediction of Urban Traffic Employing SRBDP.

Pengcheng Jiang, Lei Liu, Lizhen Cui, Hui Li, Yuliang Shi

Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017

A Pay as You Use Resource Security Provision Approach Based on Data Graph, Information Graph and Knowledge Graph.

Lixu Shao, Yucong Duan, Lizhen Cui, Quan Zou, Xiaobing Sun

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30, 2017

Real-Time Soft Resource Allocation in Multi-Tier Web Service Systems.

Xudong Zhao, Jiwei Huang, Lei Liu, Yuliang Shi, Shijun Liu, Calton Pu, Lizhen Cui

Proceedings of the 2017 IEEE International Conference on Web Services, 2017

Selling Reserved Instances through Pay-as-You-Go Model in Cloud Computing.

Shuo Zhang, Dong Yuan, Li Pan, Shijun Liu, Lizhen Cui, Xiangxu Meng

Proceedings of the 2017 IEEE International Conference on Web Services, 2017

Nash Equilibrium and Decentralized Pricing for QoS Aware Service Composition in Cloud Computing Environments.

Li Pan, Bo An, Shijun Liu, Lizhen Cui

Proceedings of the 2017 IEEE International Conference on Web Services, 2017

Automated Performance Evaluation for Multi-tier Cloud Service Systems Subject to Mixed Workloads.

Xudong Zhao, Jiwei Huang, Lei Liu, Shijun Liu, Calton Pu, Lizhen Cui

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Performance Analysis of Cloud Computing Centers Serving Parallelizable Rendering Jobs Using M/M/c/r Queuing Systems.

Xiulin Li, Li Pan, Jiwei Huang, Shijun Liu, Yuliang Shi, Li-zhen Cui, Calton Pu

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Optimal Crowds Contest Model for Crowdsourcing.

Song Xu, Lei Liu, Lizhen Cui, Yongqing Zheng

Proceedings of the 2nd International Conference on Crowd Science and Engineering, 2017

Efficient Crowd-Powered Active Learning for Reliable Review Evaluation.

Xinping Min, Yuliang Shi, Lizhen Cui, Han Yu, Yuan Miao

Proceedings of the 2nd International Conference on Crowd Science and Engineering, 2017

Learning Complex Crowdsourcing Task Allocation Strategies from Humans.

Lizhen Cui, Xudong Zhao, Lei Liu, Han Yu, Yuan Miao

Proceedings of the 2nd International Conference on Crowd Science and Engineering, 2017

Empirical Study on Assessment Algorithms with Confidence in Crowdsourcing.

Yiming Cao, Lei Liu, Lizhen Cui, Qingzhong Li

Proceedings of the 2nd International Conference on Crowd Science and Engineering, 2017

Efficient scheduling in crowdsourcing based on workers' mood.

Han Yu, Zhiqi Shen, Simon Fauvel, Lizhen Cui

Proceedings of the IEEE International Conference on Agents, 2017

Constructing Search as a Service Towards Non-deterministic and Not Validated Resource Environment with a Positive-Negative Strategy.

Yucong Duan, Lixu Shao, Xiaobing Sun, Lizhen Cui, Donghai Zhu, Zhengyang Song

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2017

Crowd-enabled Pareto-Optimal Objects Finding Employing Multi-Pairwise-Comparison Questions.

Chang Liu, Yinan Zhang, Lei Liu, Lizhen Cui, Dong Yuan, Chunyan Miao

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Predicting hospital readmission from longitudinal healthcare data using graph pattern mining based temporal phenotypes.

Xiangzhen Xu, Lizhen Cui, Shijun Liu, Hui Li, Lei Liu, Yongqing Zheng

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Resource and performance prediction at high utilization for N-Tier cloud-based service systems.

Wenbin Zhang, Yuliang Shi, Yongqing Zheng, Lei Liu, Li-zhen Cui

Proceedings of the Australasian Computer Science Week Multiconference, 2017

2016

CTP: A scheduling strategy to smooth response time fluctuations in multi-tier website system.

Wenbin Zhang, Yuliang Shi, Lei Liu, Shidong Zhang, Yongqing Zheng, Lizhen Cui, Han Yu

Microprocess. Microsystems, 2016

MapReduce short jobs optimization based on resource reuse.

Yuliang Shi, Kaihui Zhang, Lizhen Cui, Lei Liu, Yongqing Zheng, Shidong Zhang, Han Yu

Microprocess. Microsystems, 2016

A Sub Chunk-Confusion Based Privacy Protection Mechanism for Association Rules in Cloud Services.

Yuliang Shi, Zhongmin Zhou, Lizhen Cui, Shijun Liu

Int. J. Softw. Eng. Knowl. Eng., 2016

Linear unsupervised hashing for ANN search in Euclidean space.

Jian Wang, Xin-Shun Xu, Shanqing Guo, Lizhen Cui, Xiaolin Wang

Neurocomputing, 2016

A Bayesian approach to performance modelling for multi-tenant applications using Gaussian models.

Junling Zhang, Shijun Liu, Lizhen Cui, Lei Wu, Li Pan

Int. J. High Perform. Comput. Netw., 2016

A Cost-Effective Strategy for Storing Scientific Datasets with Multiple Service Providers in the Cloud.

Dong Yuan, Li-zhen Cui, Xiao Liu, Erjiang Fu, Yun Yang

CoRR, 2016

Real Time Prediction on Revisitation Behaviors of Short-Term Type Commodities.

Xiangzhen Xu, Jinghua Fu, Yuliang Shi, Shijun Liu, Li-zhen Cui

Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

Optimizing Replica Exchange Strategy for Load Balancing in Multienant Databases.

Teng Liu, Qingzhong Li, Lanju Kong, Lei Liu, Li-zhen Cui

Proceedings of the Web-Age Information Management - 17th International Conference, 2016

MTPGraph: A Data-Driven Approach to Predict Medical Risk Based on Temporal Profile Graph.

Shuai Zhang, Lei Liu, Hui Li, Zongshui Xiao, Lizhen Cui

Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

A Privacy Protection Mechanism for NoSql Database Based on Data Chunks.

Shibin Sun, Yuliang Shi, Shidong Zhang, Lizhen Cui

Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

A Permissioned Blockchain Framework for Supporting Instant Transaction and Dynamic Block Size.

Xinping Min, Qingzhong Li, Lei Liu, Lizhen Cui

Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

Model for Hiding Data Relationships Based on Chunk-Confusion in Cloud Computing.

Yu Chen, Yuliang Shi, Li-zhen Cui

Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

SOMH: A Self-Organizing Map Based Topology Preserving Hashing Method.

Xiao-Long Liang, Xin-Shun Xu, Li-zhen Cui, Shanqing Guo, Xiaolin Wang

Proceedings of the MultiMedia Modeling - 22nd International Conference, 2016

Integrating Theoretical Modeling and Experimental Measurement for Soft Resource Allocation in Multi-tier Web Systems.

Yuliang Shi, Jiwei Huang, Xudong Zhao, Lei Liu, Shijun Liu, Li-zhen Cui

Proceedings of the IEEE International Conference on Web Services, 2016

An Optimal and Iterative Pricing Model for Multiclass IaaS Cloud Services.

Shuo Zhang, Li Pan, Shijun Liu, Lei Wu, Li-zhen Cui, Dong Yuan

Proceedings of the Service-Oriented Computing - 14th International Conference, 2016

A Data Services-Based Quality Analysis System for the Life Cycle of Tire Production.

Yuliang Shi, Yu Chen, Shibin Sun, Lei Liu, Lizhen Cui

Proceedings of the Service-Oriented Computing - 14th International Conference, 2016

SpatialGraphx: A Distributed Graph Computing Framework for Spatial and Temporal Data at Scale.

Changyuan Wang, Zongfei Lu, Yang Liu, Shanqing Guo, Xin-Shun Xu, Shijun Liu, Li-zhen Cui

Proceedings of the 40th IEEE Annual Computer Software and Applications Conference, 2016

Collaborative Prediction Model of Disease Risk by Mining Electronic Health Records.

Shuai Zhang, Lei Liu, Hui Li, Lizhen Cui

Proceedings of the Collaborate Computing: Networking, Applications and Worksharing, 2016

E-commerce Blockchain Consensus Mechanism for Supporting High-Throughput and Real-Time Transaction.

Yuqin Xu, Qingzhong Li, Xingpin Min, Lizhen Cui, Zongshui Xiao, Lanju Kong

Proceedings of the Collaborate Computing: Networking, Applications and Worksharing, 2016

Quality-Assure and Budget-Aware Task Assignment for Spatial Crowdsourcing.

Qing Wang, Wei He, Xinjun Wang, Lizhen Cui

Proceedings of the Collaborate Computing: Networking, Applications and Worksharing, 2016

Big Datasets for Research: A Survey on Flagship Conferences.

Yi Wei, Shijun Liu, Jiao Sun, Lizhen Cui, Li Pan, Lei Wu

Proceedings of the 2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27, 2016

A Hybrid Approach for Detecting Fraudulent Medical Insurance Claims: (Extended Abstract).

Chenfei Sun, Yuliang Shi, Qingzhong Li, Li-zhen Cui, Han Yu, Chunyan Miao

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

A Fraud Resilient Medical Insurance Claim System.

Yuliang Shi, Chenfei Sun, Qingzhong Li, Lizhen Cui, Han Yu, Chunyan Miao

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

SRConfig: An Empirical Method of Interdependent Soft Configurations for Improving Performance in n-Tier Application.

Yuliang Shi, Xudong Zhao, Shanqing Guo, Shijun Liu, Li-zhen Cui

Proceedings of the IEEE International Conference on Services Computing, 2016

Maximizing the Availability of Process Services in Mobile Computing Environments.

Wei He, Hui Li, Lizhen Cui, Shuoyan Lu

Proceedings of the IEEE International Conference on Services Computing, 2016

A Self-Evolving Method of Data Model for Cloud-Based Machine Data Ingestion.

Cun Ji, Shijun Liu, Chenglei Yang, Lizhen Cui, Li Pan, Lei Wu, Yingbo Liu

Proceedings of the 9th IEEE International Conference on Cloud Computing, 2016

2015

PaddyFrog: systematically detecting confused deputy vulnerability in Android applications.

Jianliang Wu, Tingting Cui, Tao Ban, Shanqing Guo, Lizhen Cui

Secur. Commun. Networks, 2015

An Evolutionary Framework for Multi-agent Organizations.

Boyang Li, Han Yu, Zhiqi Shen, Lizhen Cui, Victor R. Lesser

Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

An Effective Hybrid Fraud Detection Method.

Chenfei Sun, Qingzhong Li, Lizhen Cui, Zhongmin Yan, Hui Li, Wei Wei

Proceedings of the Knowledge Science, Engineering and Management, 2015

A Method of E-Commerce Trading Process Construction Based on PaaS Platform.

Zongshui Xiao, Wenbin Zhang, Qingzhong Li, Lei Liu, Li-zhen Cui

Proceedings of the 12th IEEE International Conference on e-Business Engineering, 2015

Evaluation Mechanism of Privacy Protection on Dynamic Data Targeted at Data Partition.

Zhongmin Zhou, Yuliang Shi, Honglei Zhang, Lizhen Cui

Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications, 2015

UI Ripping in Android: Reverse Engineering of Graphical User Interfaces and its Application.

Cuixia Yang, Chaoshun Zuo, Shanqing Guo, Chengyu Hu, Lizhen Cui

Proceedings of the IEEE Conference on Collaboration and Internet Computing, 2015

Hashing Multi-Instance Data from Bag and Instance Level.

Yao Yang, Xin-Shun Xu, Xiaolin Wang, Shanqing Guo, Lizhen Cui

Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

User Behavioral Context-Aware Service Recommendation for Personalized Mashups in Pervasive Environments.

Wei He, Guozhen Ren, Lizhen Cui, Hui Li

Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

Combining Fine-Grained Analysis and Scheduling to Smooth Response Time Fluctuations in Multi-tier Services.

Shuangshuang Guo, Lizhen Cui, Shijun Liu, Calton Pu

Proceedings of the 2015 IEEE International Conference on Services Computing, 2015

Performance and Resource Prediction at High Utilization for N-Tier Service Systems in Cloud an Experiment Driven Approach.

Wenbin Zhang, Yuliang Shi, Lei Liu, Lizhen Cui, Yongqing Zheng

Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015

An Intention-Topic Model Based on Verbs Clustering and Short Texts Topic Mining.

Tingting Lu, Shifeng Hou, Zhenxiang Chen, Lizhen Cui, Lei Zhang

Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015

2014

A LNS-based data placement strategy for data-intensive e-science applications.

Tiantian Zhang, Lizhen Cui, Meng Xu

Int. J. Grid Util. Comput., 2014

Cloud Data Management for Scientific Workflows: Research Issues, Methodologies, and State-of-the-Art.

Dong Yuan, Lizhen Cui, Xiao Liu

Proceedings of the 2014 10th International Conference on Semantics, 2014

SafeBrowsingCloud: Detecting Drive-by-Downloads Attack Using Cloud Computing Environment.

Haibo Zhang, Chaoshun Zuo, Shanqing Guo, Lizhen Cui, Jun Chen

Proceedings of the Internet of Vehicles - Technologies and Services, 2014

A Context-Based Autonomous Construction Approach for Procedural Mashups.

Wei He, Qingzhong Li, Li-zhen Cui, Ting Li

Proceedings of the 2014 IEEE International Conference on Web Services, 2014

A context-based collaboration supported framework for E-commerce PaaS platform.

Zongshui Xiao, Wei He, Ting Li, Li-zhen Cui

Proceedings of the IEEE 18th International Conference on Computer Supported Cooperative Work in Design, 2014

Multi-tenant Service Composition Based on Granularity Computing.

Huihui Cai, Li-zhen Cui, Yuliang Shi, Lanju Kong, Zhongmin Yan

Proceedings of the IEEE International Conference on Services Computing, SCC 2014, Anchorage, AK, USA, June 27, 2014

2013

A Highly Practical Approach toward Achieving Minimum Data Sets Storage Cost in the Cloud.

Dong Yuan, Yun Yang, Xiao Liu, Wenhao Li, Li-zhen Cui, Meng Xu, Jinjun Chen

IEEE Trans. Parallel Distributed Syst., 2013

An Algorithm for Cost-Effectively Storing Scientific Datasets with Multiple Service Providers in the Cloud.

Dong Yuan, Xiao Liu, Li-zhen Cui, Tiantian Zhang, Wenhao Li, Dahai Cao, Yun Yang

Proceedings of the 9th IEEE International Conference on eScience, 2013

2012

Business Process Oriented Platform-as-a-Service Framework for Process Instances Intensive Applications.

Yongqing Zheng, Jinshan Pang, Jian Li, Li-zhen Cui

Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

A Confidentiality-Guarantee Mechanism for SaaS.

Guozhen Ren, Qingzhong Li, Yuliang Shi, Li-zhen Cui

Proceedings of the Enterprise Interoperability - 4th International IFIP Working Conference, 2012

A QoS-Aware Hyper-graph Based Method of Semantic Service Composition.

Lizhen Cui, Meng Xu

Proceedings of the Enterprise Interoperability - 4th International IFIP Working Conference, 2012

A Dynamic Web Service Composition Method Based on Viterbi Algorithm.

Li-zhen Cui, Jian Li, Yongqing Zheng

Proceedings of the 2012 IEEE 19th International Conference on Web Services, 2012

A Service Provisioning Strategy Based on SPEA2 for SaaS Applications in Cloud.

Tiantian Zhang, Yuliang Shi, Meng Xu, Li-zhen Cui

Proceedings of the 2012 Second International Conference on Cloud and Green Computing, 2012

2011

An Adaptive Distribution Model for Multi-dimensional Data in Decentralized Environments.

Wei He, Li-zhen Cui

Proceedings of the Web Information Systems and Mining - International Conference, 2011

A New QoS Prediction Approach Based on User Clustering and Regression Algorithms.

Yuliang Shi, Kun Zhang, Bing Liu, Li-zhen Cui

Proceedings of the IEEE International Conference on Web Services, 2011

A Transaction Management Model Based on Compensation Planning Graph for Web Services Composition.

Li-zhen Cui, Zongmin Shang, Yuliang Shi

Proceedings of the IEEE International Conference on Web Services, 2011

A workflow-oriented cloud computing framework and programming model for data intensive application.

Jinshan Pang, Li-zhen Cui, Yongqing Zheng, Haiyang Wang

Proceedings of the 2011 15th International Conference on Computer Supported Cooperative Work in Design, 2011

Service cooperation in PaaS platform based on planning method.

Li-zhen Cui, Junjie Tian, Haiyang Wang, Qingzhong Li

Proceedings of the 2011 15th International Conference on Computer Supported Cooperative Work in Design, 2011

2010

An efficient service search strategy in decentralized e-business environments.

Wei He, Yongqing Zheng, Li-zhen Cui

Proceedings of the International Conference on Networked Computing and Advanced Information Management, 2010

A Multi-Dimensional Measuring Model for E-travel Service in Decentralized Network.

Wei He, Lixin Du, Haiyang Wang, Li-zhen Cui

Proceedings of the International Conference on E-Business and E-Government, 2010

An impact analysis model for distributed Web service proces.

Mi Wang, Li-zhen Cui

Proceedings of the 2010 14th International Conference on Computer Supported Cooperative Work in Design, 2010

SMART: A platform for cross-domain business process collaboration.

Ningning Mao, Lizhen Cui

Proceedings of the 2010 14th International Conference on Computer Supported Cooperative Work in Design, 2010

2009

A Multiple QoS Constrained Scheduling Strategy of Multiple Workflows for Cloud Computing.

Meng Xu, Li-zhen Cui, Haiyang Wang, Yanbing Bi

Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2009

A User Experience-Oriented Service Discovery Method with Clustering Technology.

Shun Han, Haiyang Wang, Li-zhen Cui

Proceedings of the 2009 Second International Symposium on Computational Intelligence and Design, 2009

Towards a Decentralized Cooperative BRMS for Service Collaborative Enterprise.

Xianzhi Huang, Li-zhen Cui, Haiyang Wang, Wenjing Cui

Proceedings of the 13th International Conference on Computers Supported Cooperative Work in Design, 2009

A data-intensive workflow scheduling algorithm for large-scale cooperative work platform.

Li-zhen Cui, Meng Xu, Haiyang Wang

Proceedings of the 13th International Conference on Computers Supported Cooperative Work in Design, 2009

A Data-Intensive Workflow Scheduling Algorithm for Grid Computing.

Meng Xu, Li-zhen Cui, Haiyang Wang, Yanbing Bi, Ji Bian

Proceedings of the Fourth ChinaGrid Annual Conference, ChinaGrid 2009, Yantai, Shandong, 2009

Automatic Generation of Processes Based on Processes Semantic for Smartflow Pattern.

Li-zhen Cui, Haiyang Wang

Proceedings of the Advances in Web and Network Technologies, and Information Management, 2009

2007

An Improvement of Matrix-based Clustering Method for Grouping Learners in E-Learning.

Kun Zhang, Li-zhen Cui, Haiyang Wang, Qi Sui

Proceedings of the 11th International Conference on Computer Supported Cooperative Work in Design, 2007

Toward Cooperative Designing of Customized Business Process in Web Service Environment.

Qing Yao, Li-zhen Cui, Haiyang Wang

Proceedings of the 11th International Conference on Computer Supported Cooperative Work in Design, 2007

A Collaborative Framework for Exception Handling in Business Process Execution.

Zongmin Shang, Li-zhen Cui, Haiyang Wang

Proceedings of the 11th International Conference on Computer Supported Cooperative Work in Design, 2007

Discovering the Most Suitable Web Service in Collaboration Environment.

Guozhen Ren, Qingzhong Li, Li-zhen Cui, Tiangang Dong

Proceedings of the Computer Supported Cooperative Work in Design IV, 2007

A New Concept Relatedness Measure of Heterogeneous Ontologies in Collaborative System.

Songze Qiu, Haiyang Wang, Li-zhen Cui

Proceedings of the 11th International Conference on Computer Supported Cooperative Work in Design, 2007

Collaborative Design of Web Services Composition Process based Peer-to-Peer Architecture.

Desheng Li, Haiyang Wang, Li-zhen Cui, Kanglin Gao

Proceedings of the 11th International Conference on Computer Supported Cooperative Work in Design, 2007

Automatic Composition of Web Services Based on Rules and Meta-Services.

Hui Li, Haiyang Wang, Li-zhen Cui

Proceedings of the 11th International Conference on Computer Supported Cooperative Work in Design, 2007

A Groupware-supported Workflow Model and its Applications in Electric Power Enterprise.

Wei He, Haiyang Wang, Li-zhen Cui

Proceedings of the 11th International Conference on Computer Supported Cooperative Work in Design, 2007

Sketching Interfaces for Remote Collaboration.

Fenghua Guo, Caiming Zhang, Li-zhen Cui

Proceedings of the 11th International Conference on Computer Supported Cooperative Work in Design, 2007

An Extended Matching Method for Semantic Web Service in Collaboration Environment.

Tiangang Dong, Qingzhong Li, Kangkang Zhang, Li-zhen Cui

Proceedings of the 11th International Conference on Computer Supported Cooperative Work in Design, 2007

Research on the framework based on web service and ontology for sharing parts library in virtual enterprise.

Yongquan Dong, Qingzhong Li, Li-zhen Cui

Proceedings of the 11th International Conference on Computer Supported Cooperative Work in Design, 2007

Trust Management Model and Evaluation Method for Online Travel.

Wenjing Cui, Haiyang Wang, Qi Sui, Li-zhen Cui

Proceedings of the Computer Supported Cooperative Work in Design IV, 2007

Multi-group Cooperation Support for Software Design Process.

Li-zhen Cui, Xiaoguang Hong, Haiyang Wang, Xinjun Wang, Yongping Wang

Proceedings of the 11th International Conference on Computer Supported Cooperative Work in Design, 2007

Automatic Generation of Web Service Workflow Using a Probability Based Process-Semantic Repository.

Dong Yuan, Miao Du, Haiyang Wang, Li-zhen Cui

Proceedings of the Advances in Web and Network Technologies, and Information Management, 2007

2005

Semantic Web service-based application integration framework for supporting collaborative design.

Kangkang Zhang, Qingzhong Li, Li-zhen Cui

Proceedings of the Ninth International Conference on Computer Supported Cooperative Work in Design, 2005

Business processes management based on stratified grid.

Li-zhen Cui, Haiyang Wang

Proceedings of the Ninth International Conference on Computer Supported Cooperative Work in Design, 2005

Vector Retrieval Model for XML Document Based on Dynamic Partition of Information Units.

Li-zhen Cui, Haiyang Wang

Proceedings of the Advances in Web Intelligence Third International Atlantic Web IntelligenceConference, 2005

2004

Research on Cooperative Workflow Management Systems.

Li-zhen Cui, Haiyang Wang

Proceedings of the Computer Supported Cooperative Work in Design I, 2004