Ning Liu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 22

Top Topics

Narrative Generation

Convolutional Neural Networks

Temporal Patterns

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

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 (2024)
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)
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) (2024)
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)
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) (2024)
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)
Zhenyu Li, Xiuxing Li, Zhichao Duan, Bowen Dong, Ning Liu, Jianyong Wang
Toward a Unified Framework for Unsupervised Complex Tabular Reasoning. ICDE (2023)
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) (2023)
Caiyan Li, Lizhen Cui, Yonghui Xu, Ning Liu
Logic Event Graph Enhanced Narrative Generation. CSCWD (2023)
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)
Fuqiang Yu, Lizhen Cui, Yiming Cao, Fanglin Zhu, Yonghui Xu, Ning Liu
Feature-Guided Logical Perception Network for Health Risk Prediction. BIBM (2022)
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)
Zhaoming Li, Wei He, Ning Liu, Yonghui Xu, Lizhen Cui, Kaiyuan Qi
Balancing Supply and Demand for Mobile Crowdsourcing Services. ICSOC (2022)
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) (2022)
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)
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. CoRR (2022)
Rui Zhang, Wei Zhang, Ning Liu, Jianyong Wang
Susceptible Temporal Patterns Discovery for Electronic Health Records via Adversarial Attack. DASFAA (3) (2021)
Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang
Scalable Rule-Based Representation Learning for Interpretable Classification. NeurIPS (2021)
Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang
Transparent Classification with Multilayer Logical Perceptrons and Random Binarization. AAAI (2020)
Ning Liu, Wei Zhang, Xiuxing Li, Haitao Yuan, Jianyong Wang
Coupled Graph Convolutional Neural Networks for Text-Oriented Clinical Diagnosis Inference. DASFAA (1) (2020)
Ning Liu, Pan Lu, Wei Zhang, Jianyong Wang
Knowledge-Aware Deep Dual Networks for Text-Based Mortality Prediction. ICDE (2019)
Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang
Transparent Classification with Multilayer Logical Perceptrons and Random Binarization. CoRR (2019)