【学术论文】
2024
[1] Tan Zou#, Ning Liu#, Wenfeng Wang, Qinbiao Li, Lingguo Bu: Longitudinal assessment of the effects of passive training on stroke rehabilitation using fNIRS technology. Int. J. Hum. Comput. Stud. 183: 103202 (2024)
[2] Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang: Learning Interpretable Rules for Scalable Data Representation and Classification. IEEE Trans. Pattern Anal. Mach. Intell. 46(2): 1121-1133 (2024)
[3] Ran Zhang, Ning Liu*, Lei Liu*, Mianxiong Dong, Kaoru Ota, Zhongmin Yan: Performance Evaluation of Self-Similar GPS Scheduling: A Knowledge-Driven Dual-Task Deep Learning Approach. IEEE Trans. Cogn. Commun. Netw. 10(2): 510-525 (2024)
[4] Zhenyu Li, Sunqi Fan, Yu Gu, Xiuxing Li, Zhichao Duan, Bowen Dong, Ning Liu, Jianyong Wang: FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering. AAAI 2024: 18608-18616
[5] Ting Zhou, Ning Liu*, Bo Song, Hongtao Lv, Deke Guo, Lei Liu: RobFL: Robust Federated Learning via Feature Center Separation and Malicious Center Detection. ICDE 2024: 926-938
[6] Xilie Xu, Keyi Kong, Ning Liu, Lizhen Cui, Di Wang, Jingfeng Zhang, Mohan S. Kankanhalli: An LLM can Fool Itself: A Prompt-Based Adversarial Attack. ICLR 2024
2023
[1] Fuqiang Yu, Lizhen Cui, Huanhuan Chen, Yiming Cao, Ning Liu, Weiming Huang, Yonghui Xu, Hua Lu: HealthNet: A Health Progression Network via Heterogeneous Medical Information Fusion. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6940-6954 (2023)
[2] Caiyan Li, Lizhen Cui, Yonghui Xu, Ning Liu: Logic Event Graph Enhanced Narrative Generation. CSCWD 2023: 181-186
[3] Kai Zhang, Daokun Zhang, Ning Liu, Yonghua Yang, Yonghui Xu, Zhongmin Yan, Hui Li, Lizhen Cui: Sample and Feature Enhanced Few-Shot Knowledge Graph Completion. DASFAA (2) 2023: 800-809
[4] Zhenyu Li, Xiuxing Li, Zhichao Duan, Bowen Dong, Ning Liu, Jianyong Wang: Toward a Unified Framework for Unsupervised Complex Tabular Reasoning. ICDE 2023: 1691-1704
2022
[1] Tong Ding, Ning Liu*, Zhongmin Yan, Lei Liu*, Li-zhen Cui: An Efficient Reinforcement Learning Game Framework for UAV-Enabled Wireless Sensor Network Data Collection. J. Comput. Sci. Technol. 37(6): 1356-1368 (2022)
[2] Fuqiang Yu, Lizhen Cui, Yiming Cao, Fanglin Zhu, Yonghui Xu, Ning Liu: Feature-Guided Logical Perception Network for Health Risk Prediction. BIBM 2022: 1787-1790
[3] Xiao Yang, Ning Liu*, Jianbo Qiao, Haitao Yuan, Teng Ma, Yonghui Xu, Lizhen Cui: Clinical Phenotyping Prediction via Auxiliary Task Selection and Adaptive Shared-Space Correction. CICAI (2) 2022: 438-449
[4] Yiming Cao, Lizhen Cui, Fuqiang Yu, Lei Zhang, Zhen Li, Ning Liu, Yonghui Xu: KdTNet: Medical Image Report Generation via Knowledge-Driven Transformer. DASFAA (3) 2022: 117-132
[5] Fuqiang Yu, Lizhen Cui*, Yiming Cao, Ning Liu*, Weiming Huang, Yonghui Xu: Similarity-Aware Collaborative Learning for Patient Outcome Prediction. DASFAA (2) 2022: 407-422
[6] Xiuxing Li, Zhenyu Li, Zhengyan Zhang, Ning Liu, Haitao Yuan, Wei Zhang, Zhiyuan Liu, Jianyong Wang: Effective Few-Shot Named Entity Linking by Meta-Learning. ICDE 2022: 178-191
[7] Zhaoming Li, Wei He, Ning Liu, Yonghui Xu, Lizhen Cui, Kaiyuan Qi: Balancing Supply and Demand for Mobile Crowdsourcing Services. ICSOC 2022: 285-299
[8] Ran Zhang#, Ning Liu#, Lei Liu, Wei Zhang, Haitao Yuan, Mianxiong Dong, Lizhen Cui: Is it fair? Resource allocation for differentiated services on demands. ICWS 2022: 355-360
2021
[1] Rui Zhang, Wei Zhang, Ning Liu, Jianyong Wang: Susceptible Temporal Patterns Discovery for Electronic Health Records via Adversarial Attack. DASFAA (3) 2021: 429-444
[2] Xiuxing Li, Zhenyu Li, Zhichao Duan, Jiacheng Xu, Ning Liu, Jianyong Wang: Jointly Modeling Fact Triples and Text Information for Knowledge Base Completion. ICBK 2021: 214-221
[3] Zhichao Duan, Xiuxing Li, Zhengyan Zhang, Zhenyu Li, Ning Liu, Jianyong Wang: Bridging the Language Gap: Knowledge Injected Multilingual Question Answering. ICBK 2021: 339-346
[4] Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang: Scalable Rule-Based Representation Learning for Interpretable Classification. NeurIPS 2021: 30479-30491
2020
[1] Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang: Transparent Classification with Multilayer Logical Perceptrons and Random Binarization. AAAI 2020: 6331-6339
[2] Ning Liu, Wei Zhang, Xiuxing Li, Haitao Yuan, Jianyong Wang: Coupled Graph Convolutional Neural Networks for Text-Oriented Clinical Diagnosis Inference. DASFAA (1) 2020: 369-385
2019
[1] Ning Liu, Pan Lu, Wei Zhang, Jianyong Wang: Knowledge-Aware Deep Dual Networks for Text-Based Mortality Prediction. ICDE 2019: 1406-1417