Xianxian Li

According to our database, Xianxian Li authored at least 136 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CausalFD: causal invariance-based fraud detection against camouflaged preference.

Yudan Song, Yuecen Wei, Haonan Yuan, Qingyun Sun, Xingcheng Fu, Li-e Wang, Xianxian Li

Int. J. Mach. Learn. Cybern., November, 2024

A Trustworthy and Consistent Blockchain Oracle Scheme for Industrial Internet of Things.

Peng Liu, Youquan Xian, Chuanjian Yao, Peng Wang, Li-e Wang, Xianxian Li

IEEE Trans. Netw. Serv. Manag., October, 2024

Toward Modalities Correlation for RGB-T Tracking.

Xiantao Hu, Bineng Zhong, Qihua Liang, Shengping Zhang, Ning Li, Xianxian Li

IEEE Trans. Circuits Syst. Video Technol., October, 2024

A reputation-based and privacy-preserving incentive scheme for mobile crowd sensing: a deep reinforcement learning approach.

Jialin Zhang, Xianxian Li, Zhenkui Shi, Cong Zhu

Wirel. Networks, August, 2024

A fair and verifiable federated learning profit-sharing scheme.

Xianxian Li, Mei Huang, Shiqi Gao, Zhenkui Shi

Wirel. Networks, August, 2024

Asymptotically Optimal Coded Distributed Computing via Combinatorial Designs.

Minquan Cheng, Youlong Wu, Xianxian Li, Dianhua Wu

IEEE/ACM Trans. Netw., August, 2024

Achieving fair and accountable data trading for educational multimedia data based on blockchain.

Xianxian Li, Jiahui Peng, Shiqi Gao, Zhenkui Shi, Chunpei Li

Wirel. Networks, July, 2024

A Dynamic Adaptive Framework for Practical Byzantine Fault Tolerance Consensus Protocol in the Internet of Things.

Chunpei Li, Wangjie Qiu, Xianxian Li, Chen Liu, Zhiming Zheng

IEEE Trans. Computers, July, 2024

Coded Caching for Dense-User Combination Network in Binary Field.

Mingming Zhang, Minquan Cheng, Youlong Wu, Xianxian Li

IEEE Trans. Commun., May, 2024

Toward Unified Token Learning for Vision-Language Tracking.

Yaozong Zheng, Bineng Zhong, Qihua Liang, Guorong Li, Rongrong Ji, Xianxian Li

IEEE Trans. Circuits Syst. Video Technol., April, 2024

Positive-Sample-Free Object Tracking via a Soft Constraint.

Jiaxin Ye, Bineng Zhong, Qihua Liang, Shengping Zhang, Xianxian Li, Rongrong Ji

IEEE Trans. Circuits Syst. Video Technol., March, 2024

Optimizing Dynamic Cache Allocation in Vehicular Edge Networks: A Method Combining Multisource Data Prediction and Deep Reinforcement Learning.

Bin Qu, De Li, Xianxian Li

IEEE Internet Things J., March, 2024

Transformer Tracking via Frequency Fusion.

Xiantao Hu, Bineng Zhong, Qihua Liang, Shengping Zhang, Ning Li, Xianxian Li, Rongrong Ji

IEEE Trans. Circuits Syst. Video Technol., February, 2024

Robust Tracking via Bidirectional Transduction With Mask Information.

TianYu Ning, Bineng Zhong, Qihua Liang, Zhenjun Tang, Xianxian Li

IEEE Trans. Multim., 2024

Contrastive learning of graphs under label noise.

Xianxian Li, Qiyu Li, De Li, Haodong Qian, Jinyan Wang

Neural Networks, 2024

RGB-T tracking with frequency hybrid awareness.

Lei Lei, Xianxian Li

Image Vis. Comput., 2024

MKNBL: Joint multi-channel knowledge-aware network and broad learning for sparse knowledge graph-based recommendation.

Li-e Wang, Yuelan Qi, Zhigang Sun, Xianxian Li

Neurocomputing, 2024

SEMSO: A Secure and Efficient Multi-Data Source Blockchain Oracle.

Youquan Xian, Xueying Zeng, Chunpei Li, Peng Wang, Dongcheng Li, Peng Liu, Xianxian Li

CoRR, 2024

Personalized federated learning based on feature fusion.

Wolong Xing, Zhenkui Shi, Hongyan Peng, Xiantao Hu, Xianxian Li

CoRR, 2024

Rethinking the impact of noisy labels in graph classification: A utility and privacy perspective.

De Li, Xianxian Li, Zeming Gan, Qiyu Li, Bin Qu, Jinyan Wang

CoRR, 2024

Knowledge-Aware Dual-Channel Graph Neural Networks For Denoising Recommendation.

Hanwen Zhang, Li-e Wang, Zhigang Sun, Xianxian Li

Comput. J., 2024

Higher-order Semantic-aware Adaptive Graph Contrastive Learning.

Xianxian Li, Jiayue Zeng, Zhigang Sun, Li-e Wang

Proceedings of the International Joint Conference on Neural Networks, 2024

Hyperbolic Geometric Latent Diffusion Model for Graph Generation.

Xingcheng Fu, Yisen Gao, Yuecen Wei, Qingyun Sun, Hao Peng, Jianxin Li, Xianxian Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

CRFLOE: Context Region Filter and Relation Word Aware for Document-Level Relation Extraction.

Danping Yang, Xianxian Li, Hao Wu, Aoxiang Zhou, Peng Liu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

DocBAN: An Efficient Biaffine Attention Network for Document-Level Named Entity Recognition.

Hao Wu, Xianxian Li, Danping Yang, Aoxiang Zhou, Peng Wang, Peng Liu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

SpanMRC: Query with Entity Length for MRC-Based Named Entity Recognition.

Hao Wu, Xianxian Li, Peng Liu, Li-e Wang, Danping Yang, Aoxiang Zhou

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Personalized federated learning based on feature fusion.

Wolong Xing, Zhenkui Shi, Hongyan Peng, Xiantao Hu, Yaozong Zheng, Xianxian Li

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

Multi-perspective Information and Multi-task Contrastive Learning for Sequential Recommendations.

Li-e Wang, Rongwen Wei, Hengtong Chang, Xianxian Li, Zhigang Sun, Tianran Liu

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

Dual Contrastive Learning and Dual Bi-directional Transformer Encoders for Sequential Recommendations.

Li-e Wang, Hengtong Chang, Rongwen Wei, Xianxian Li, Zhigang Sun, Yongdong Li, Yi Wei, Linghui Meng

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

ODTrack: Online Dense Temporal Token Learning for Visual Tracking.

Yaozong Zheng, Bineng Zhong, Qihua Liang, Zhiyi Mo, Shengping Zhang, Xianxian Li

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

Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding.

Yuecen Wei, Haonan Yuan, Xingcheng Fu, Qingyun Sun, Hao Peng, Xianxian Li, Chunming Hu

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

Explicit Visual Prompts for Visual Object Tracking.

Liangtao Shi, Bineng Zhong, Qihua Liang, Ning Li, Shengping Zhang, Xianxian Li

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

2023

Graph neural network based approach to automatically assigning common weakness enumeration identifiers for vulnerabilities.

Peng Liu, Wenzhe Ye, Haiying Duan, Xianxian Li, Shuyi Zhang, Chuanjian Yao, Yongnan Li

Cybersecur., December, 2023

Heterogeneous graph neural network with semantic-aware differential privacy guarantees.

Yuecen Wei, Xingcheng Fu, Dongqi Yan, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li

Knowl. Inf. Syst., October, 2023

MuKGB-CRS: Guarantee privacy and authenticity of cross-domain recommendation via multi-feature knowledge graph integrated blockchain.

Li-e Wang, Yuelan Qi, Yan Bai, Zhigang Sun, Dongcheng Li, Xianxian Li

Inf. Sci., August, 2023

AIC-GNN: Adversarial information completion for graph neural networks.

Quanmin Wei, Jinyan Wang, Xingcheng Fu, Jun Hu, Xianxian Li

Inf. Sci., May, 2023

FedMBC: Personalized federated learning via mutually beneficial collaboration.

Yanxia Gong, Xianxian Li, Li-e Wang

Comput. Commun., May, 2023

A two-phase random forest with differential privacy.

Jing Liu, Xianxian Li, Quanmin Wei, Songfeng Liu, Zhaohui Liu, Jinyan Wang

Appl. Intell., May, 2023

Leveraging Local and Global Cues for Visual Tracking via Parallel Interaction Network.

Yaozong Zheng, Bineng Zhong, Qihua Liang, Zhenjun Tang, Rongrong Ji, Xianxian Li

IEEE Trans. Circuits Syst. Video Technol., April, 2023

Robust Tracking via Uncertainty-Aware Semantic Consistency.

Jie Ma, Xiangyuan Lan, Bineng Zhong, Guorong Li, Zhenjun Tang, Xianxian Li, Rongrong Ji

IEEE Trans. Circuits Syst. Video Technol., April, 2023

SiamBAN: Target-Aware Tracking With Siamese Box Adaptive Network.

Zedu Chen, Bineng Zhong, Guorong Li, Shengping Zhang, Rongrong Ji, Zhenjun Tang, Xianxian Li

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Robust Long-Term Tracking via Localizing Occluders.

Binfei Chu, Yiting Lin, Bineng Zhong, Zhenjun Tang, Xianxian Li, Jing Wang

ACM Trans. Multim. Comput. Commun. Appl., 2023

Multi-Access Coded Caching With Optimal Rate and Linear Subpacketization Under PDA and Consecutive Cyclic Placement.

Jinyu Wang, Minquan Cheng, Youlong Wu, Xianxian Li

IEEE Trans. Commun., 2023

A Microgrid Trading Framework Based on PoC Consensus.

Lianghaojie Zhou, Youquan Xian, Yipeng Yang, Jianyong Jiang, Peng Liu, Xianxian Li

CoRR, 2023

Towards Unified Token Learning for Vision-Language Tracking.

Yaozong Zheng, Bineng Zhong, Qihua Liang, Guorong Li, Rongrong Ji, Xianxian Li

CoRR, 2023

Asymptotically Optimal Cascaded Coded Distributed Computing via Combinatorial Designs.

Minquan Cheng, Youlong Wu, Xianxian Li

CoRR, 2023

FINDER: A Simple and Effective Defender against Unnoticeable Graph Injection Attacks.

Linlin Su, Jinyan Wang, Zeming Gan, Xianxian Li

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

Robustness and Privacy for Green Learning under Noisy Labels.

De Li, Tiange Xia, Qiyu Li, Xianxian Li, Jinyan Wang

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

Dynamic Social Recommendation with High-Matching Inhomogeneous Relations.

Shenghan Li, Jinyan Wang, Huachang Zeng, Jun Li, Yuecen Wei, Xianxian Li

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

CRCC: Collaborative Relation Context Consistency on the Knowledge Graph for Recommender Systems (S).

Li-E Wang, Huachang Zeng, Shenghan Li, Xianxian Li, Shengda Zhuo, Jiahua Xie, Bin Qu, Zhigang Sun, Tianran Liu

Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering, 2023

Learning Graph Neural Networks on Feature-Missing Graphs.

Jun Hu, Jinyan Wang, Quanmin Wei, Du Kai, Xianxian Li

Proceedings of the Knowledge Science, Engineering and Management, 2023

FedEF: Federated Learning for Heterogeneous and Class Imbalance Data.

Hongyan Peng, Tongtong Wu, Zhenkui Shi, Xianxian Li

Proceedings of the IEEE Symposium on Computers and Communications, 2023

Node Classification in Graph Neural Networks under Dual Consistency.

Qiyu Li, Xianxian Li, De Li, Jinyan Wang

Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

Secure and Trusted Copyright Protection for Educational Data on Redactable Blockchains.

Li-e Wang, Yi Wei, Peng Liu, Xianxian Li

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Relaxed Graph Semi-Supervised Contrastive Learning for Node Classification.

Qiyu Li, Xianxian Li, Haodong Qian, De Li, Jinyan Wang

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

PGUD: Personalized Graph Universal Defense.

Zeming Gan, Linlin Su, Xianxian Li, Jinyan Wang

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

LTNI-FGML: Federated Graph Machine Learning on Long-Tailed and Non-IID Data via Logit Calibration.

Dongqi Yan, Jinyan Wang, Qingyi Huang, Juanjuan Huang, Xianxian Li

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

GFedKRL: Graph Federated Knowledge Re-Learning for Effective Molecular Property Prediction via Privacy Protection.

Yangyou Ning, Jinyan Wang, De Li, Dongqi Yan, Xianxian Li

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022

ESVSSE: Enabling Efficient, Secure, Verifiable Searchable Symmetric Encryption.

Zhenkui Shi, Xuemei Fu, Xianxian Li, Kai Zhu

IEEE Trans. Knowl. Data Eng., 2022

A privacy preservation framework for feedforward-designed convolutional neural networks.

De Li, Jinyan Wang, Qiyu Li, Yuhang Hu, Xianxian Li

Neural Networks, 2022

OGT: optimize graph then training GNNs for node classification.

Quanmin Wei, Jinyan Wang, Jun Hu, Xianxian Li, Tong Yi

Neural Comput. Appl., 2022

Teacher-student knowledge distillation for real-time correlation tracking.

Qihuang Chen, Bineng Zhong, Qihua Liang, Qingyong Deng, Xianxian Li

Neurocomputing, 2022

Precise sensitivity recognizing, privacy preserving, knowledge graph-based method for trajectory data publication.

Xianxian Li, Bing Cai, Li-e Wang, Lei Lei

Frontiers Comput. Sci., 2022

Differentially private frequent episode mining over event streams.

Jiawen Qin, Jinyan Wang, Qiyu Li, Shijian Fang, Xianxian Li, Lei Lei

Eng. Appl. Artif. Intell., 2022

Resource allocation for MEC system with multi-users resource competition based on deep reinforcement learning approach.

Bin Qu, Yan Bai, Yul Chu, Li-e Wang, Feng Yu, Xianxian Li

Comput. Networks, 2022

Efficient and traceable data sharing for the Internet of Things in smart cities.

Chunpei Li, Xianxian Li, Peng Liu, Wangjie Qiu, Chuanjian Yao, Bo Yuan

Comput. Electr. Eng., 2022

A Green Neural Network with Privacy Preservation and Interpretability.

De Li, Hongyan Zheng, Zeming Gan, Xianxian Li, Jinyan Wang

Proceedings of the IEEE International Conference on Trust, 2022

Backdoor Attacks against Deep Neural Networks by Personalized Audio Steganography.

Peng Liu, Shuyi Zhang, Chuanjian Yao, Wenzhe Ye, Xianxian Li

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Next POI Recommendation with Neighbor and Location Popularity.

Xianxian Li, Tianran Liu, Li-e Wang, Zhigang Sun, Huachang Zeng

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation.

Yuecen Wei, Xingcheng Fu, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li

Proceedings of the IEEE International Conference on Data Mining, 2022

The Tenth Visual Object Tracking VOT2022 Challenge Results.

Matej Kristan, Ales Leonardis, Jirí Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Johanna Björklund, Yushan Zhang, Zhongqun Zhang, Song Yan, Wenyan Yang, Dingding Cai, Christoph Mayer, Gustavo Fernández, Kang Ben, Goutam Bhat, Hong Chang, Guangqi Chen, Jiaye Chen, Shengyong Chen, Xilin Chen, Xin Chen, Xiuyi Chen, Yiwei Chen, Yu-Hsi Chen, Zhixing Chen, Yangming Cheng, Angelo Ciaramella, Yutao Cui, Benjamin Dzubur, Mohana Murali Dasari, Qili Deng, Debajyoti Dhar, Shangzhe Di, Emanuel Di Nardo, Daniel K. Du, Matteo Dunnhofer, Heng Fan, Zhenhua Feng, Zhihong Fu, Shang Gao, Rama Krishna Gorthi, Eric Granger, Q. H. Gu, Himanshu Gupta, Jianfeng He, Keji He, Yan Huang, Deepak Jangid, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Järemo Lawin, Ze Kang, Madhu Kiran, Josef Kittler, Simiao Lai, Xiangyuan Lan, Dongwook Lee, Hyunjeong Lee, Seohyung Lee, Hui Li, Ming Li, Wangkai Li, Xi Li, Xianxian Li, Xiao Li, Zhe Li, Liting Lin, Haibin Ling, Bo Liu, Chang Liu, Si Liu, Huchuan Lu, Rafael M. O. Cruz, Bingpeng Ma, Chao Ma, Jie Ma, Yinchao Ma, Niki Martinel, Alireza Memarmoghadam, Christian Micheloni, Payman Moallem, Le Thanh Nguyen-Meidine, Siyang Pan, ChangBeom Park, Danda Pani Paudel, Matthieu Paul, Houwen Peng, Andreas Robinson, Litu Rout, Shiguang Shan, Kristian Simonato, Tianhui Song, Xiaoning Song, Chao Sun, Jingna Sun, Zhangyong Tang, Radu Timofte, Chi-Yi Tsai, Luc Van Gool, Om Prakash Verma, Dong Wang, Fei Wang, Liang Wang, Liangliang Wang, Lijun Wang, Limin Wang, Qiang Wang, Gangshan Wu, Jinlin Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Wei Xu, Yong Xu, Yuanyou Xu, Wanli Xue, Zizheng Xun, Bin Yan, Dawei Yang, Jinyu Yang, Wankou Yang, Xiaoyun Yang, Yi Yang, Yichun Yang, Zongxin Yang, Botao Ye, Fisher Yu, Hongyuan Yu, Jiaqian Yu, Qianjin Yu, Weichen Yu, Kang Ze, Jiang Zhai, Chengwei Zhang, Chunhu Zhang, Kaihua Zhang, Tianzhu Zhang, Wenkang Zhang, Zhibin Zhang, Zhipeng Zhang, Jie Zhao, Shao-Chuan Zhao, Feng Zheng, Haixia Zheng, Min Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

An Efficient and Accurate Encrypted Image Retrieval Scheme via Ball Tree.

Xianxian Li, Jie Lei, Zhenkui Shi, Feng Yu

Proceedings of the 8th International Conference on Big Data Computing and Communications, 2022

2021

Beh-Raft-Chain: A Behavior-Based Fast Blockchain Protocol for Complex Networks.

Li-e Wang, Yan Bai, Quan Jiang, Victor C. M. Leung, Wei Cai, Xianxian Li

IEEE Trans. Netw. Sci. Eng., 2021

SSGD: A Safe and Efficient Method of Gradient Descent.

Jinhuan Duan, Xianxian Li, Shiqi Gao, Zili Zhong, Jinyan Wang

Secur. Commun. Networks, 2021

One-step spectral rotation clustering for imbalanced high-dimensional data.

Guoqiu Wen, Xianxian Li, Yonghua Zhu, Linjun Chen, Qimin Luo, Malong Tan

Inf. Process. Manag., 2021

Differentially private ensemble learning for classification.

Xianxian Li, Jing Liu, Songfeng Liu, Jinyan Wang

Neurocomputing, 2021

Differential Privacy Preservation in Adaptive K-Nets Clustering.

Xiaohong Liu, Hanbo Cai, De Li, Xianxian Li, Jinyan Wang

Proceedings of the 20th IEEE International Conference on Trust, 2021

Adaptive Clipping Bound of Deep Learning with Differential Privacy.

Yuhang Hu, De Li, Zhou Tan, Xianxian Li, Jinyan Wang

Proceedings of the 20th IEEE International Conference on Trust, 2021

DBS: Blockchain-Based Privacy-Preserving RBAC in IoT.

Xianxian Li, Junhao Yang, Shiqi Gao, Zhenkui Shi, Jie Li, Xuemei Fu

Proceedings of the Quality, Reliability, Security and Robustness in Heterogeneous Systems, 2021

Achieving Fair and Accountable Data Trading Scheme for Educational Multimedia Data Based on Blockchain.

Xianxian Li, Jiahui Peng, Zhenkui Shi, Chunpei Li

Proceedings of the Quality, Reliability, Security and Robustness in Heterogeneous Systems, 2021

POI Recommendation with Federated Learning and Privacy Preserving in Cross Domain Recommendation.

Li-e Wang, Yihui Wang, Yan Bai, Peng Liu, Xianxian Li

Proceedings of the 2021 IEEE Conference on Computer Communications Workshops, 2021

The Ninth Visual Object Tracking VOT2021 Challenge Results.

Matej Kristan, Jirí Matas, Ales Leonardis, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Jani Käpylä, Gustav Häger, Song Yan, Jinyu Yang, Zhongqun Zhang, Gustavo Fernández, Mohamed H. Abdelpakey, Goutam Bhat, Llukman Cerkezi, Hakan Cevikalp, Shengyong Chen, Xin Chen, Miao Cheng, Ziyi Cheng, Yu-Chen Chiu, Ozgun Cirakman, Yutao Cui, Kenan Dai, Mohana Murali Dasari, Qili Deng, Xingping Dong, Daniel K. Du, Matteo Dunnhofer, Zhenhua Feng, Zhiyong Feng, Zhihong Fu, Shiming Ge, Rama Krishna Gorthi, Yuzhang Gu, Bilge Günsel, Qing Guo, Filiz Gurkan, Wencheng Han, Yanyan Huang, Felix Järemo Lawin, Shang-Jhih Jhang, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Juefei-Xu, J. Yin, Xiao Ke, Fahad Shahbaz Khan, Byeong Hak Kim, Josef Kittler, Xiangyuan Lan, Jun Ha Lee, Bastian Leibe, Hui Li, Jianhua Li, Xianxian Li, Yuezhou Li, Bo Liu, Chang Liu, Jingen Liu, Li Liu, Qingjie Liu, Huchuan Lu, Wei Lu, Jonathon Luiten, Jie Ma, Ziang Ma, Niki Martinel, Christoph Mayer, Alireza Memarmoghadam, Christian Micheloni, Yuzhen Niu, Danda Pani Paudel, Houwen Peng, Shoumeng Qiu, Aravindh Rajiv, Muhammad Rana, Andreas Robinson, Hasan Saribas, Ling Shao, Mohamed S. Shehata, Furao Shen, Jianbing Shen, Kristian Simonato, Xiaoning Song, Zhangyong Tang, Radu Timofte, Philip H. S. Torr, Chi-Yi Tsai, Bedirhan Uzun, Luc Van Gool, Paul Voigtlaender, Dong Wang, Guangting Wang, Liangliang Wang, Lijun Wang, Limin Wang, Linyuan Wang, Yong Wang, Yunhong Wang, Chenyan Wu, Gangshan Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Xiang Xu, Wanli Xue, Bin Yan, Wankou Yang, Xiaoyun Yang, Yu Ye, Jun Yin, Chengwei Zhang, Chunhui Zhang, Haitao Zhang, Kaihua Zhang, Kangkai Zhang, Xiaohan Zhang, Xiaolin Zhang, Xinyu Zhang, Zhibin Zhang, Shao-Chuan Zhao, Ming Zhen, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Learning To Filter: Siamese Relation Network for Robust Tracking.

Siyuan Cheng, Bineng Zhong, Guorong Li, Xin Liu, Zhenjun Tang, Xianxian Li, Jing Wang

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

BEIR: A Blockchain-based Encrypted Image Retrieval Scheme.

Xianxian Li, Jie Li, Feng Yu, Xuemei Fu, Junhao Yang, Yue Chen

Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021

A Private Statistic Query Scheme for Encrypted Electronic Medical Record System.

Xianxian Li, Xuemei Fu, Feng Yu, Zhenkui Shi, Jie Li, Junhao Yang

Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021

SCPS: A Secure and Copyright-Preserving System for IIoT Based on Hyperledger Fabric.

Jiahui Peng, Chunpei Li, Bo Yuan, Hongwei Meng, Feng Yu, Xianxian Li

Proceedings of the Ninth International Conference on Advanced Cloud and Big Data, 2021

2020

Local differential privacy for social network publishing.

Peng Liu, Yuanxin Xu, Quan Jiang, Yuwei Tang, Yameng Guo, Li-e Wang, Xianxian Li

Neurocomputing, 2020

Top-k closed co-occurrence patterns mining with differential privacy over multiple streams.

Jinyan Wang, Shijian Fang, Chen Liu, Jiawen Qin, Xianxian Li, Zhenkui Shi

Future Gener. Comput. Syst., 2020

GCBlock: A Grouping and Coding Based Storage Scheme for Blockchain System.

Bin Qu, Li-e Wang, Peng Liu, Zhenkui Shi, Xianxian Li

IEEE Access, 2020

Differential Privacy Preservation in Interpretable Feedforward-Designed Convolutional Neural Networks.

De Li, Jinyan Wang, Zhou Tan, Xianxian Li, Yuhang Hu

Proceedings of the 19th IEEE International Conference on Trust, 2020

A Privacy Preserving Method for Publishing Set-valued Data and Its Correlative Social Network.

Li-e Wang, Shan Lin, Yan Bai, Sang-Yoon Chang, Xianxian Li, Peng Liu

Proceedings of the 2020 IEEE International Conference on Communications, 2020

Groupchain: A Blockchain Model with Privacy-preservation and Supervision.

Chunpei Li, Li-e Wang, Qingting Xu, Dongchen Li, Peng Liu, Xianxian Li

Proceedings of the HP3C 2020: 4th International Conference on High Performance Compilation, 2020

DP-AP: Differential Privacy-Preserving Affinity Propagation Clustering.

Hanbo Cai, Jinyan Wang, Xiaohong Liu, Xianxian Li

Proceedings of the 14th IEEE International Conference on Big Data Science and Engineering, 2020

2019

Correlation-aware partitioning for skewed range query optimization.

Wei Ge, Xianxian Li, Chunfeng Yuan, Yihua Huang

World Wide Web, 2019

Two privacy-preserving approaches for data publishing with identity reservation.

Jinyan Wang, Kai Du, Xudong Luo, Xianxian Li

Knowl. Inf. Syst., 2019

A three-phase approach to differentially private crucial patterns mining over data streams.

Jinyan Wang, Chen Liu, Xingcheng Fu, Xudong Luo, Xianxian Li

Comput. Secur., 2019

Information Entropy Differential Privacy: A Differential Privacy Protection Data Method Based on Rough Set Theory.

Xianxian Li, Chunfeng Luo, Peng Liu, Li-e Wang

Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019

2018

A Multi-Level Privacy-Preserving Approach to Hierarchical Data Based on Fuzzy Set Theory.

Jinyan Wang, Guoqing Cai, Chen Liu, Jingli Wu, Xianxian Li

Symmetry, 2018

M-generalization for multipurpose transactional data publication.

Xianxian Li, Peipei Sui, Yan Bai, Li-E Wang

Frontiers Comput. Sci., 2018

A graph-based multifold model for anonymizing data with attributes of multiple types.

Li-e Wang, Xianxian Li

Comput. Secur., 2018

Two Privacy-Preserving Approaches for Publishing Transactional Data Streams.

Jinyan Wang, Chaoji Deng, Xianxian Li

IEEE Access, 2018

A Hierarchical k-Anonymous Technique of Graphlet Structural Perception in Social Network Publishing.

Dongran Yu, Huaxing Zhao, Li-e Wang, Peng Liu, Xianxian Li

Proceedings of the Mobile, Secure, and Programmable Networking, 2018

2017

移动商务推荐系统中的一种基于P2P的隐私保护策略 (P2P-based Privacy Protection Strategy in Mobile-commerce Recommender System).

Lie Wang, Yuanxin Xu, Xianxian Li, Peng Liu

计算机科学, 2017

Partial k-Anonymity for Privacy-Preserving Social Network Data Publishing.

Peng Liu, Yan Bai, Lie Wang, Xianxian Li

Int. J. Softw. Eng. Knowl. Eng., 2017

A privacy-preserving approach for multimodal transaction data integrated analysis.

Peipei Sui, Xianxian Li

Neurocomputing, 2017

A Study of Enhancing Privacy for Intelligent Transportation Systems: $k$ -Correlation Privacy Model Against Moving Preference Attacks for Location Trajectory Data.

Peipei Sui, Xianxian Li, Yan Bai

IEEE Access, 2017

Randomized Perturbation for Privacy-Preserving Social Network Data Publishing.

Peng Liu, Li-e Wang, Xianxian Li

Proceedings of the IEEE International Conference on Big Knowledge, 2017

Anonymizing approach to resist label-neighborhood attacks in dynamic releases of social networks.

Xiaoyi Hu, Li-e Wang, Jiaqi Tang, Cong Lei, Peng Liu, Xianxian Li

Proceedings of the 19th IEEE International Conference on e-Health Networking, 2017

Transparent Link: A Framework of Anonymizing MSA-Dataset Based on Probabilistic Graphical Model.

Li-e Wang, Yameng Guo, Xianxian Li

Proceedings of the Third IEEE International Conference on Big Data Computing Service and Applications, 2017

2016

Robust Image Hashing With Ring Partition and Invariant Vector Distance.

Zhenjun Tang, Xianquan Zhang, Xianxian Li, Shichao Zhang

IEEE Trans. Inf. Forensics Secur., 2016

ROAT: Road-Network-Based Anonymization of Trajectories.

Peipei Sui, Xianxian Li

Proceedings of the 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, 2016

A Local-Perturbation Anonymizing Approach to Preserving Community Structure in Released Social Networks.

Huanjie Wang, Peng Liu, Shan Lin, Xianxian Li

Proceedings of the Quality, Reliability, Security and Robustness in Heterogeneous Networks, 2016

A Sensitivity-Adaptive ρ-Uncertainty Model for Set-Valued Data.

Liuhua Chen, Shenghai Zhong, Li-e Wang, Xianxian Li

Proceedings of the Financial Cryptography and Data Security, 2016

2015

社会网络分析软件研究 (Study of Social Network Analysis Software).

Peng Liu, Xianxian Li, Li-e Wang

计算机科学, 2015

A Hybrid Optimization Approach for Anonymizing Transactional Data.

Li-e Wang, Xianxian Li

Proceedings of the Algorithms and Architectures for Parallel Processing, 2015

2014

A Clustering-Based Bipartite Graph Privacy-Preserving Approach for Sharing High-Dimensional Data.

Li-e Wang, Xianxian Li

Int. J. Softw. Eng. Knowl. Eng., 2014

A Personalized Privacy Preserving Method for Publishing Social Network Data.

Jia Jiao, Peng Liu, Xianxian Li

Proceedings of the Theory and Applications of Models of Computation, 2014

Privacy Risks in Publication of Taxi GPS Data.

Peipei Sui, Tianyu Wo, Zhangle Wen, Xianxian Li

Proceedings of the 2014 IEEE International Conference on High Performance Computing and Communications, 2014

Personalized Privacy Protection for Transactional Data.

Li-e Wang, Xianxian Li

Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014

A Hybrid Algorithm for Privacy Preserving Social Network Publication.

Peng Liu, Lei Cui, Xianxian Li

Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014

2013

Privacy-Preserving Trajectory Publication against Parking Point Attacks.

Peipei Sui, Tianyu Wo, Zhangle Wen, Xianxian Li

Proceedings of the 2013 IEEE 10th International Conference on Ubiquitous Intelligence and Computing and 2013 IEEE 10th International Conference on Autonomic and Trusted Computing, 2013

An Improved Privacy Preserving Algorithm for Publishing Social Network Data.

Peng Liu, Xianxian Li

Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing, 2013

Mining Item Popularity for Recommender Systems.

Jilian Zhang, Xiaofeng Zhu, Xianxian Li, Shichao Zhang

Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013

2012

Dynamic Authentication for Cross-Realm SOA-Based Business Processes.

Jie Xu, Dacheng Zhang, Lu Liu, Xianxian Li

IEEE Trans. Serv. Comput., 2012

2009

AutoSyn: A new approach to automated synthesis of composite web services with correctness guarantee.

Jinpeng Huai, Ting Deng, Xianxian Li, Zongxia Du, Huipeng Guo

Sci. China Ser. F Inf. Sci., 2009

Automated synthesis of composite services with correctness guarantee.

Ting Deng, Jinpeng Huai, Xianxian Li, Zongxia Du, Huipeng Guo

Proceedings of the 18th International Conference on World Wide Web, 2009

2008

A Multi-agents Contractual Approach to Incentive Provision in Non-cooperative Networks.

Li Lin, Jinpeng Huai, Yanmin Zhu, Chunming Hu, Xianxian Li

Proceedings of the On the Move to Meaningful Internet Systems: OTM 2008, 2008

2007

Dynamic Cross-Realm Authentication for Multi-Party Service Interactions.

Dacheng Zhang, Jie Xu, Xianxian Li

Proceedings of the 37th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2007

2006

Cryptographic protocol security analysis based on bounded constructing algorithm.

Xianxian Li, Jinpeng Huai

Sci. China Ser. F Inf. Sci., 2006

A Software Protocol of Goals and Operations Based on BDI Model.

Jinpeng Huai, Xianxian Li, Wenyi Zhang, Jun Han, Yongzhen Zhuang

Proceedings of the IEEE International Conference on Sensor Networks, 2006

A Multi-agent Cooperative Model and System for Integrated Security Monitoring.

Xianxian Li, Lijun Liu

Proceedings of the Cryptology and Network Security, 5th International Conference, 2006

2005

Towards Security Analysis to Binding Update Protocol in Mobile IPv6 with Formal Method.

Jianxin Li, Jinpeng Huai, Qin Li, Xianxian Li

Proceedings of the Mobile Ad-hoc and Sensor Networks, First International Conference, 2005

Distributed Access Control in CROWN Groups.

Jinpeng Huai, Yu Zhang, Xianxian Li, Yunhao Liu

Proceedings of the 34th International Conference on Parallel Processing (ICPP 2005), 2005

Access Control in Peer-to-Peer Collaborative Systems.

Yu Zhang, Xianxian Li, Jinpeng Huai, Yunhao Liu

Proceedings of the 25th International Conference on Distributed Computing Systems Workshops (ICDCS 2005 Workshops), 2005

2004

Algebra model and security analysis for cryptographic protocols.

Jinpeng Huai, Xianxian Li

Sci. China Ser. F Inf. Sci., 2004

2002

Efficient Non-Repudiation Multicast Source Authentication Schemes.

Xianxian Li, Jinpeng Huai

J. Comput. Sci. Technol., 2002