Ning Liu

According to our database, Ning Liu authored at least 32 papers between 2019 and 2024.

Collaborative distances:

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

2024

Performance Evaluation of Self-Similar GPS Scheduling: A Knowledge-Driven Dual-Task Deep Learning Approach.

Ran Zhang, Ning Liu, Lei Liu, Mianxiong Dong, Kaoru Ota, Zhongmin Yan

IEEE Trans. Cogn. Commun. Netw., April, 2024

Longitudinal assessment of the effects of passive training on stroke rehabilitation using fNIRS technology.

Tan Zou, Ning Liu, Wenfeng Wang, Qinbiao Li, Lingguo Bu

Int. J. Hum. Comput. Stud., March, 2024

Learning Interpretable Rules for Scalable Data Representation and Classification.

Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang

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

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

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

RobFL: Robust Federated Learning via Feature Center Separation and Malicious Center Detection.

Ting Zhou, Ning Liu, Bo Song, Hongtao Lv, Deke Guo, Lei Liu

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

STMGF: An Effective Spatial-Temporal Multi-granularity Framework for Traffic Forecasting.

Zhengyang Zhao, Haitao Yuan, Nan Jiang, Minxiao Chen, Ning Liu, Zengxiang Li

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

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

FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering.

Zhenyu Li, Sunqi Fan, Yu Gu, Xiuxing Li, Zhichao Duan, Bowen Dong, Ning Liu, Jianyong Wang

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

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

Can LLMs like GPT-4 outperform traditional AI tools in dementia diagnosis? Maybe, but not today.

Zhuo Wang, Rongzhen Li, Bowen Dong, Jie Wang, Xiuxing Li, Ning Liu, Chenhui Mao, Wei Zhang, Liling Dong, Jing Gao, Jianyong Wang

CoRR, 2023

Toward a Unified Framework for Unsupervised Complex Tabular Reasoning.

Zhenyu Li, Xiuxing Li, Zhichao Duan, Bowen Dong, Ning Liu, Jianyong Wang

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

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

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

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

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

Effective Few-Shot Named Entity Linking by Meta-Learning.

Xiuxing Li, Zhenyu Li, Zhengyan Zhang, Ning Liu, Haitao Yuan, Wei Zhang, Zhiyuan Liu, Jianyong Wang

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

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

2021

Scalable Rule-Based Representation Learning for Interpretable Classification.

Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Jointly Modeling Fact Triples and Text Information for Knowledge Base Completion.

Xiuxing Li, Zhenyu Li, Zhichao Duan, Jiacheng Xu, Ning Liu, Jianyong Wang

Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

Bridging the Language Gap: Knowledge Injected Multilingual Question Answering.

Zhichao Duan, Xiuxing Li, Zhengyan Zhang, Zhenyu Li, Ning Liu, Jianyong Wang

Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

Susceptible Temporal Patterns Discovery for Electronic Health Records via Adversarial Attack.

Rui Zhang, Wei Zhang, Ning Liu, Jianyong Wang

Proceedings of the Database Systems for Advanced Applications, 2021

2020

Coupled Graph Convolutional Neural Networks for Text-Oriented Clinical Diagnosis Inference.

Ning Liu, Wei Zhang, Xiuxing Li, Haitao Yuan, Jianyong Wang

Proceedings of the Database Systems for Advanced Applications, 2020

Transparent Classification with Multilayer Logical Perceptrons and Random Binarization.

Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang

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

2019

Knowledge-Aware Deep Dual Networks for Text-Based Mortality Prediction.

Ning Liu, Pan Lu, Wei Zhang, Jianyong Wang

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019