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ORCIDNing Liu 0014
Person information
- affiliation: Shandong University, School of Software, China
Other persons with the same name
- Ning Liu — disambiguation page
- Ning Liu 0001 — Microsoft Research Asia, Beijing, China
- Ning Liu 0002
![[0000-0002-1038-5659]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-1038-5659")
— Central South University, School of Geosciences and Info-Physics, Changsha, China - Ning Liu 0003 — Nanyang Technological University, School of Physical and Mathematical Sciences, Singapore
- Ning Liu 0004 — Murdoch University, School of Veterinary and Life Sciences, WA, Australia (and 1 more)
- Ning Liu 0005 — Broadcom Corporation, Irvine, USA (and 1 more)
- Ning Liu 0006 — North University of China, School of Instrument and Electronics, Taiyuan, China
- Ning Liu 0007 — Northeastern University, Boston, MA, USA (and 1 more)
- Ning Liu 0008 — Cleversafe, an IBM Company, Chicago, IL, USA (and 2 more)
- Ning Liu 0009 — Stevens Institute of Technology, Department of ECE, Hoboken, NJ, USA
- Ning Liu 0010 — Jiangsu University, Department of Automotive and Traffic Engineering, Zhenjiang, China
- Ning Liu 0011 — Beijing Information Science & Technological University, Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing, China
- Ning Liu 0012 — National University of Singapore, Department of Mechanical Engineering, Singapore
- Ning Liu 0013 — University of Burgundy - Franche-Comté, France
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2020 – today
- 2024
[j5]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)- [j4]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) - [j3]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) - [c26]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 - [c25]Yunsen Tang, Ning Liu, Haitao Yuan, Yonghe Yan, Lei Liu, Weixing Tan, Lizhen Cui:
LAMRec: Label-aware Multi-view Drug Recommendation. CIKM 2024: 2230-2239 - [c24]Yixin Zhang, Xin Zhou, Fanglin Zhu, Ning Liu, Wei Guo, Yonghui Xu, Zhiqi Shen, Lizhen Cui:
Multi-modal Food Recommendation with Health-aware Knowledge Distillation. CIKM 2024: 3279-3289 - [c23]Xiaofang Sun, Yonghui Xu, Ning Liu, Yongqing Zheng, Lizhen Cui:
Multi-scale Residual Graph Attention Network for Major Depressive Disorder Recognition. DASFAA (7) 2024: 3-18 - [c22]Zhengyang Zhao, Haitao Yuan, Nan Jiang, Minxiao Chen, Ning Liu, Zengxiang Li:
STMGF: An Effective Spatial-Temporal Multi-granularity Framework for Traffic Forecasting. DASFAA (1) 2024: 235-245 - [c21]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 - [c20]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 - [c19]Yibowen Zhao, Yonghui Xu, Ning Liu, Yixin Zhang, Wei Guo, Xudong Lu, Lizhen Cui:
Causal Denoising Framework for Generalizable Recommendation System using Graph Neural Network. ICME 2024: 1-6 - [c18]Yu Zhang, Hua Lu, Ning Liu, Yonghui Xu, Qingzhong Li, Lizhen Cui:
Personalized Federated Learning for Cross-City Traffic Prediction. IJCAI 2024: 5526-5534 - [i10]Zhengyang Zhao, Haitao Yuan, Nan Jiang, Minxiao Chen, Ning Liu, Zengxiang Li:
STMGF: An Effective Spatial-Temporal Multi-Granularity Framework for Traffic Forecasting. CoRR abs/2404.05774 (2024) - 2023
- [j2]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) - [c17]Caiyan Li, Lizhen Cui, Yonghui Xu, Ning Liu:
Logic Event Graph Enhanced Narrative Generation. CSCWD 2023: 181-186 - [c16]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 - [c15]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 - [i9]Zhichao Duan, Xiuxing Li, Zhengyan Zhang, Zhenyu Li, Ning Liu, Jianyong Wang:
Bridging the Language Gap: Knowledge Injected Multilingual Question Answering. CoRR abs/2304.03159 (2023) - [i8]Zhuo Wang, Rongzhen Li, Bowen Dong, Jie Wang, Xiuxing Li, Ning Liu, Chenhui Mao, Wei Zhang, Liling Dong, Jing Gao, Jianyong Wang:
Can LLMs like GPT-4 outperform traditional AI tools in dementia diagnosis? Maybe, but not today. CoRR abs/2306.01499 (2023) - [i7]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. CoRR abs/2308.12060 (2023) - [i6]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. CoRR abs/2310.13345 (2023) - [i5]Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang:
Learning Interpretable Rules for Scalable Data Representation and Classification. CoRR abs/2310.14336 (2023) - 2022
- [j1]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) - [c14]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 - [c13]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 - [c12]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 - [c11]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 - [c10]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 - [c9]Zhaoming Li, Wei He, Ning Liu, Yonghui Xu, Lizhen Cui, Kaiyuan Qi:
Balancing Supply and Demand for Mobile Crowdsourcing Services. ICSOC 2022: 285-299 - [c8]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 - [i4]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 abs/2207.05280 (2022) - [i3]Zhenyu Li, Xiuxing Li, Zhichao Duan, Bowen Dong, Ning Liu, Jianyong Wang:
Toward a Unified Framework for Unsupervised Complex Tabular Reasoning. CoRR abs/2212.10097 (2022) - 2021
- [c7]Rui Zhang, Wei Zhang, Ning Liu, Jianyong Wang:
Susceptible Temporal Patterns Discovery for Electronic Health Records via Adversarial Attack. DASFAA (3) 2021: 429-444 - [c6]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 - [c5]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 - [c4]Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang:
Scalable Rule-Based Representation Learning for Interpretable Classification. NeurIPS 2021: 30479-30491 - [i2]Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang:
Scalable Rule-Based Representation Learning for Interpretable Classification. CoRR abs/2109.15103 (2021) - 2020
- [c3]Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang:
Transparent Classification with Multilayer Logical Perceptrons and Random Binarization. AAAI 2020: 6331-6339 - [c2]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
2010 – 2019
- 2019
- [c1]Ning Liu, Pan Lu, Wei Zhang, Jianyong Wang:
Knowledge-Aware Deep Dual Networks for Text-Based Mortality Prediction. ICDE 2019: 1406-1417 - [i1]Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang:
Transparent Classification with Multilayer Logical Perceptrons and Random Binarization. CoRR abs/1912.04695 (2019)
Coauthor Index
aka: Lizhen Cui
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