Ning Liu - RankMe

52 papers A* 9A 7B 2C 2Journal 19Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Generating Counterfactual Temporal Motifs: Unraveling the Mysteries of Temporal Graph Neural Networks. Data Sci. Eng. Yibowen Zhao, Yonghui Xu, Ning Liu, Lizhen Cui, Qingzhong Li
2026	J	`jnl`	Generation and Selection: A Self-Iterative Two-Stage Data Augmentation Method for Automated ECG Classification. IEEE J. Biomed. Health Informatics Chaoying Jiang, Yujing Xin, Ning Liu, Yonghui Xu, Lei Liu, Li-Zhen Cui, Jianyong Wang
2026	J	`jnl`	M3MAD-Bench: Are Multi-Agent Debates Really Effective Across Domains and Modalities? CoRR Ao Li, Jinghui Zhang, Luyu Li, Yuxiang Duan, Lang Gao, Mingcai Chen, Weijun Qin, Shaopeng Li, Fengxian Ji, Ning Liu, Lizhen Cui, Xiuying Chen, Yuntao Du
2025	A	`conf`	AdaHet-MKD: An Adaptive Heterogeneous Multi-teacher Knowledge Distillation for Medical Image Analysis. CIKM Helin Wang, Wei Du, Ning Liu, Qian Li, Yanyu Xu, Lizhen Cui
2025	B	`conf`	Diffusion-based Data Augmentation via Noise Concatenation for Chest X-Ray Classification. SMC Xinran Chen, Yujing Xin, Ning Liu, Yanyu Xu, Yonghui Xu, Lizhen Cui
2025	—	`conf`	Incomplete Multi-View Drug Recommendation via Multi-Level Representation Learning and Curriculum Learning. KDD (2) Ning Liu, Yunsen Tang, Haitao Yuan, Hongtao Lv, Lili Jiang, Zhen Li, Wei Zhang, Jianyong Wang
2025	—	`conf`	Negative Matters: Multi-Granularity Hard-Negative Synthesis and Anchor-Token-Aware Pooling for Enhanced Text Embeddings. ACL (1) Tengyu Pan, Zhichao Duan, Zhenyu Li, Bowen Dong, Ning Liu, Xiuxing Li, Jianyong Wang
2025	J	`jnl`	Negative Matters: Multi-Granularity Hard-Negative Synthesis and Anchor-Token-Aware Pooling for Enhanced Text Embeddings. CoRR Tengyu Pan, Zhichao Duan, Zhenyu Li, Bowen Dong, Ning Liu, Xiuxing Li, Jianyong Wang
2024	A*	`conf`	An LLM can Fool Itself: A Prompt-Based Adversarial Attack. ICLR Xilie Xu, Keyi Kong, Ning Liu, Lizhen Cui, Di Wang, Jingfeng Zhang, Mohan S. Kankanhalli
2024	B	`conf`	Budget-Feasible Double Auction Mechanisms for Model Training Services in Federated Learning Market. TrustCom Ting Zhou, Hongtao Lv, Ning Liu, Lei Liu
2024	A	`conf`	Causal Denoising Framework for Generalizable Recommendation System using Graph Neural Network. ICME Yibowen Zhao, Yonghui Xu, Ning Liu, Yixin Zhang, Wei Guo, Xudong Lu, Lizhen Cui
2024	A*	`conf`	FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering. AAAI Zhenyu Li, Sunqi Fan, Yu Gu, Xiuxing Li, Zhichao Duan, Bowen Dong, Ning Liu, Jianyong Wang
2024	A	`conf`	LAMRec: Label-aware Multi-view Drug Recommendation. CIKM Yunsen Tang, Ning Liu, Haitao Yuan, Yonghe Yan, Lei Liu, Weixing Tan, Lizhen Cui
2024	J	`jnl`	Learning Interpretable Rules for Scalable Data Representation and Classification. IEEE Trans. Pattern Anal. Mach. Intell. Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang
2024	A	`conf`	LogGenius: An Unsupervised Log Parsing Framework with Zero-shot Prompt Engineering. ICWS Xian Yu, Shengxi Nong, Dongbiao He, Weijie Zheng, Teng Ma, Ning Liu, Jianhui Li, Gaogang Xie
2024	J	`jnl`	Longitudinal assessment of the effects of passive training on stroke rehabilitation using fNIRS technology. Int. J. Hum. Comput. Stud. Tan Zou, Ning Liu, Wenfeng Wang, Qinbiao Li, Lingguo Bu
2024	A	`conf`	Multi-modal Food Recommendation with Health-aware Knowledge Distillation. CIKM Yixin Zhang, Xin Zhou, Fanglin Zhu, Ning Liu, Wei Guo, Yonghui Xu, Zhiqi Shen, Lizhen Cui
2024	—	`conf`	Multi-scale Residual Graph Attention Network for Major Depressive Disorder Recognition. DASFAA (7) Xiaofang Sun, Yonghui Xu, Ning Liu, Yongqing Zheng, Lizhen Cui
2024	J	`jnl`	Performance Evaluation of Self-Similar GPS Scheduling: A Knowledge-Driven Dual-Task Deep Learning Approach. IEEE Trans. Cogn. Commun. Netw. Ran Zhang, Ning Liu, Lei Liu, Mianxiong Dong, Kaoru Ota, Zhongmin Yan
2024	A*	`conf`	Personalized Federated Learning for Cross-City Traffic Prediction. IJCAI Yu Zhang, Hua Lu, Ning Liu, Yonghui Xu, Qingzhong Li, Lizhen Cui
2024	A*	`conf`	RobFL: Robust Federated Learning via Feature Center Separation and Malicious Center Detection. ICDE Ting Zhou, Ning Liu, Bo Song, Hongtao Lv, Deke Guo, Lei Liu
2024	J	`jnl`	STMGF: An Effective Spatial-Temporal Multi-Granularity Framework for Traffic Forecasting. CoRR Zhengyang Zhao, Haitao Yuan, Nan Jiang, Minxiao Chen, Ning Liu, Zengxiang Li
2024	—	`conf`	STMGF: An Effective Spatial-Temporal Multi-granularity Framework for Traffic Forecasting. DASFAA (1) Zhengyang Zhao, Haitao Yuan, Nan Jiang, Minxiao Chen, Ning Liu, Zengxiang Li
2023	J	`jnl`	An LLM can Fool Itself: A Prompt-Based Adversarial Attack. CoRR Xilie Xu, Keyi Kong, Ning Liu, Lizhen Cui, Di Wang, Jingfeng Zhang, Mohan S. Kankanhalli
2023	J	`jnl`	Bridging the Language Gap: Knowledge Injected Multilingual Question Answering. CoRR Zhichao Duan, Xiuxing Li, Zhengyan Zhang, Zhenyu Li, Ning Liu, Jianyong Wang
2023	J	`jnl`	Can LLMs like GPT-4 outperform traditional AI tools in dementia diagnosis? Maybe, but not today. CoRR Zhuo Wang, Rongzhen Li, Bowen Dong, Jie Wang, Xiuxing Li, Ning Liu, Chenhui Mao, Wei Zhang, Liling Dong, Jing Gao, Jianyong Wang
2023	J	`jnl`	FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering. CoRR Zhenyu Li, Sunqi Fan, Yu Gu, Xiuxing Li, Zhichao Duan, Bowen Dong, Ning Liu, Jianyong Wang
2023	J	`jnl`	HealthNet: A Health Progression Network via Heterogeneous Medical Information Fusion. IEEE Trans. Neural Networks Learn. Syst. Fuqiang Yu, Lizhen Cui, Huanhuan Chen, Yiming Cao, Ning Liu, Weiming Huang, Yonghui Xu, Hua Lu
2023	J	`jnl`	Learning Interpretable Rules for Scalable Data Representation and Classification. CoRR Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang
2023	C	`conf`	Logic Event Graph Enhanced Narrative Generation. CSCWD Caiyan Li, Lizhen Cui, Yonghui Xu, Ning Liu
2023	—	`conf`	Sample and Feature Enhanced Few-Shot Knowledge Graph Completion. DASFAA (2) Kai Zhang, Daokun Zhang, Ning Liu, Yonghua Yang, Yonghui Xu, Zhongmin Yan, Hui Li, Lizhen Cui
2023	A*	`conf`	Toward a Unified Framework for Unsupervised Complex Tabular Reasoning. ICDE Zhenyu Li, Xiuxing Li, Zhichao Duan, Bowen Dong, Ning Liu, Jianyong Wang
2022	J	`jnl`	An Efficient Reinforcement Learning Game Framework for UAV-Enabled Wireless Sensor Network Data Collection. J. Comput. Sci. Technol. Tong Ding, Ning Liu, Zhongmin Yan, Lei Liu, Lizhen Cui
2022	A	`conf`	Balancing Supply and Demand for Mobile Crowdsourcing Services. ICSOC Zhaoming Li, Wei He, Ning Liu, Yonghui Xu, Lizhen Cui, Kaiyuan Qi
2022	—	`conf`	Clinical Phenotyping Prediction via Auxiliary Task Selection and Adaptive Shared-Space Correction. CICAI (2) Xiao Yang, Ning Liu, Jianbo Qiao, Haitao Yuan, Teng Ma, Yonghui Xu, Lizhen Cui
2022	A*	`conf`	Effective Few-Shot Named Entity Linking by Meta-Learning. ICDE Xiuxing Li, Zhenyu Li, Zhengyan Zhang, Ning Liu, Haitao Yuan, Wei Zhang, Zhiyuan Liu, Jianyong Wang
2022	J	`jnl`	Effective Few-Shot Named Entity Linking by Meta-Learning. CoRR Xiuxing Li, Zhenyu Li, Zhengyan Zhang, Ning Liu, Haitao Yuan, Wei Zhang, Zhiyuan Liu, Jianyong Wang
2022	—	`conf`	Feature-Guided Logical Perception Network for Health Risk Prediction. BIBM Fuqiang Yu, Lizhen Cui, Yiming Cao, Fanglin Zhu, Yonghui Xu, Ning Liu
2022	A	`conf`	Is it fair? Resource allocation for differentiated services on demands. ICWS Ran Zhang, Ning Liu, Lei Liu, Wei Zhang, Haitao Yuan, Mianxiong Dong, Lizhen Cui
2022	—	`conf`	KdTNet: Medical Image Report Generation via Knowledge-Driven Transformer. DASFAA (3) Yiming Cao, Lizhen Cui, Fuqiang Yu, Lei Zhang, Zhen Li, Ning Liu, Yonghui Xu
2022	C	`conf`	Log-ROC: Log Structured RAID on Open-Channel SSD. ICCD Teng Ma, Zhitao Li, Ning Liu
2022	—	`conf`	Similarity-Aware Collaborative Learning for Patient Outcome Prediction. DASFAA (2) Fuqiang Yu, Lizhen Cui, Yiming Cao, Ning Liu, Weiming Huang, Yonghui Xu
2022	J	`jnl`	Toward a Unified Framework for Unsupervised Complex Tabular Reasoning. CoRR Zhenyu Li, Xiuxing Li, Zhichao Duan, Bowen Dong, Ning Liu, Jianyong Wang
2021	—	`conf`	Bridging the Language Gap: Knowledge Injected Multilingual Question Answering. ICBK Zhichao Duan, Xiuxing Li, Zhengyan Zhang, Zhenyu Li, Ning Liu, Jianyong Wang
2021	—	`conf`	Jointly Modeling Fact Triples and Text Information for Knowledge Base Completion. ICBK Xiuxing Li, Zhenyu Li, Zhichao Duan, Jiacheng Xu, Ning Liu, Jianyong Wang
2021	A*	`conf`	Scalable Rule-Based Representation Learning for Interpretable Classification. NeurIPS Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang
2021	J	`jnl`	Scalable Rule-Based Representation Learning for Interpretable Classification. CoRR Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang
2021	—	`conf`	Susceptible Temporal Patterns Discovery for Electronic Health Records via Adversarial Attack. DASFAA (3) Rui Zhang, Wei Zhang, Ning Liu, Jianyong Wang
2020	—	`conf`	Coupled Graph Convolutional Neural Networks for Text-Oriented Clinical Diagnosis Inference. DASFAA (1) Ning Liu, Wei Zhang, Xiuxing Li, Haitao Yuan, Jianyong Wang
2020	A*	`conf`	Transparent Classification with Multilayer Logical Perceptrons and Random Binarization. AAAI Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang
2019	A*	`conf`	Knowledge-Aware Deep Dual Networks for Text-Based Mortality Prediction. ICDE Ning Liu, Pan Lu, Wei Zhang, Jianyong Wang
2019	J	`jnl`	Transparent Classification with Multilayer Logical Perceptrons and Random Binarization. CoRR Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang