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Gang Liu 0025
Person information
- affiliation: University of Notre Dame, Department of Computer Science and Engineering, IN, USA
Other persons with the same name
- Gang Liu — disambiguation page
- Gang Liu 0001 — University of Texas at Dallas, Center for Robust Speech Systems (CRSS), Richardson, TX, USA
- Gang Liu 0002 — Rutgers University, New Brunswick, NJ, USA
- Gang Liu 0003 — China University of Geosciences, Wuhan, China
- Gang Liu 0004 — U.S. National Oceanic and Atmospheric Administration, Coral Reef Watch, College Park, MD, USA
- Gang Liu 0005 — Chengdu University of Technology, College of Earth Sciences, Chengdu, China (and 1 more)
- Gang Liu 0006 — Xidian University, School of Computer Science and Technology, Xi'an, China (and 1 more)
- Gang Liu 0007 — Southwest Jiaotong University, Key Laboratory of Information Coding and Transmission, Chengdu, China (and 3 more)
- Gang Liu 0008 — Beijing University of Posts and Telecommunications, Pattern Recognition and Intelligent System Laboratory, China
- Gang Liu 0009 — Renmin University of China, School of Information, Beijing, China
- Gang Liu 0010 — University of Konstanz, Germany
- Gang Liu 0011 — South China University of Technology, School of Electric Power, Guangzhou, China
- Gang Liu 0012 — China Southern Power Grid Company, Electric Power Research Institute, Guangzhou, China
- Gang Liu 0013 — Idiap Research Institute, Martigny, Switzerland (and 3 more)
- Gang Liu 0014 — Chinese Academy of Sciences, Institute of Electronics, Department of Space Microwave Remote Sensing System, Beijing, China
- Gang Liu 0015 — North China Electric Power University, Hebei Provincial Key Laboratory of Power Transmission Equipment Security Defense, Baoding, China
- Gang Liu 0016 — Central South University, School of Physics and Electronics, Changsha, China
- Gang Liu 0017 — Beijing University of Aeronautics and Astronautics, Beijing Engineering Research Center of High-Speed Magnetically Suspended Motor Technology and Application, China (and 2 more)
- Gang Liu 0018 — Henan University of Science and Technology, Information Engineering College, Luoyang, China
- Gang Liu 0019 — Queen's University, High Performance Computing Virtual Laboratory, Kingston, Canada
- Gang Liu 0020 — Beijing Jiaotong University, School of Electronic and Information Engineering, Beijing, China
- Gang Liu 0021 — Harbin Engineering University, College of Computer Science and Technology, Harbin, China
- Gang Liu 0022 — Hunan Normal University, School of Physics and Electronics, Changsha, China
- Gang Liu 0023 — China Three Gorges University, College of Electrical Engineering and New Energy, Yichang, China
- Gang Liu 0024 — PLA Rocket Force University of Engineering, Xi'an, China (and 1 more)
- Gang Liu 0026 — Arbor Research Collaborative for Health, Ann Arbor, MI, USA (and 1 more)
- Gang Liu 0027 — Chongqing University, Key Laboratory of New Technology for Construction of Cities in Mountain Area, Ministry of Education, School of Civil Engineering, China
- Gang Liu 0028 — Shenzhen University, Shenzhen, China
- Gang Liu 0029 — Hubei University of Technology, School of Computer Science, Wuhan, China
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2020 – today
- 2024
- [j7]Gang Liu, Eric Inae, Tengfei Luo, Meng Jiang:
Rationalizing Graph Neural Networks with Data Augmentation. ACM Trans. Knowl. Discov. Data 18(4): 86:1-86:23 (2024) - [j6]Bowen Jin, Gang Liu, Chi Han, Meng Jiang, Heng Ji, Jiawei Han:
Large Language Models on Graphs: A Comprehensive Survey. IEEE Trans. Knowl. Data Eng. 36(12): 8622-8642 (2024) - [c7]Zhiding Liang, Gang Liu, Zheyuan Liu, Jinglei Cheng, Tianyi Hao, Kecheng Liu, Hang Ren, Zhixin Song, Ji Liu, Fanny Ye, Yiyu Shi:
Invited: Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm. DAC 2024: 361:1-361:4 - [i12]Gang Liu, Jiaxin Xu, Tengfei Luo, Meng Jiang:
Inverse Molecular Design with Multi-Conditional Diffusion Guidance. CoRR abs/2401.13858 (2024) - [i11]Zhiding Liang, Gang Liu, Zheyuan Liu, Jinglei Cheng, Tianyi Hao, Kecheng Liu, Hang Ren, Zhixin Song, Ji Liu, Fanny Ye, Yiyu Shi:
Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm. CoRR abs/2403.03310 (2024) - [i10]Gang Liu, Srijit Seal, John Arevalo, Zhenwen Liang, Anne E. Carpenter, Meng Jiang, Shantanu Singh:
Learning Molecular Representation in a Cell. CoRR abs/2406.12056 (2024) - 2023
- [j5]Tong Zhao, Wei Jin, Yozen Liu, Yingheng Wang, Gang Liu, Stephan Günnemann, Neil Shah, Meng Jiang:
Graph Data Augmentation for Graph Machine Learning: A Survey. IEEE Data Eng. Bull. 46(2): 140-165 (2023) - [j4]Gang Liu, Yong Deng, Kang Hao Cheong:
Network Immunization Strategy by Eliminating Fringe Nodes: A Percolation Perspective. IEEE Trans. Syst. Man Cybern. Syst. 53(3): 1862-1871 (2023) - [c6]Gang Liu, Meng Jiang:
Explaining AI-Informed Network Intrusion Detection with Counterfactuals. INFOCOM Workshops 2023: 1-2 - [c5]Gang Liu, Tong Zhao, Eric Inae, Tengfei Luo, Meng Jiang:
Semi-Supervised Graph Imbalanced Regression. KDD 2023: 1453-1465 - [c4]Gang Liu, Eric Inae, Tong Zhao, Jiaxin Xu, Tengfei Luo, Meng Jiang:
Data-Centric Learning from Unlabeled Graphs with Diffusion Model. NeurIPS 2023 - [i9]Gang Liu, Eric Inae, Tong Zhao, Jiaxin Xu, Tengfei Luo, Meng Jiang:
Data-Centric Learning from Unlabeled Graphs with Diffusion Model. CoRR abs/2303.10108 (2023) - [i8]Gang Liu, Tong Zhao, Eric Inae, Tengfei Luo, Meng Jiang:
Semi-Supervised Graph Imbalanced Regression. CoRR abs/2305.12087 (2023) - [i7]Eric Inae, Gang Liu, Meng Jiang:
Motif-aware Attribute Masking for Molecular Graph Pre-training. CoRR abs/2309.04589 (2023) - [i6]Noah Ziems, Gang Liu, John Flanagan, Meng Jiang:
Explaining Tree Model Decisions in Natural Language for Network Intrusion Detection. CoRR abs/2310.19658 (2023) - [i5]Bowen Jin, Gang Liu, Chi Han, Meng Jiang, Heng Ji, Jiawei Han:
Large Language Models on Graphs: A Comprehensive Survey. CoRR abs/2312.02783 (2023) - 2022
- [c3]Tong Zhao, Gang Liu, Daheng Wang, Wenhao Yu, Meng Jiang:
Learning from Counterfactual Links for Link Prediction. ICML 2022: 26911-26926 - [c2]Gang Liu, Tong Zhao, Jiaxin Xu, Tengfei Luo, Meng Jiang:
Graph Rationalization with Environment-based Augmentations. KDD 2022: 1069-1078 - [i4]Tong Zhao, Gang Liu, Stephan Günnemann, Meng Jiang:
Graph Data Augmentation for Graph Machine Learning: A Survey. CoRR abs/2202.08871 (2022) - [i3]Gang Liu, Tong Zhao, Jiaxin Xu, Tengfei Luo, Meng Jiang:
Graph Rationalization with Environment-based Augmentations. CoRR abs/2206.02886 (2022) - [i2]Gang Liu, Zhihan Zhang, Zheng Ning, Meng Jiang:
On the Relationship between Counterfactual Explainer and Recommender: A Framework and Preliminary Observations. CoRR abs/2207.04317 (2022) - 2021
- [i1]Tong Zhao, Gang Liu, Daheng Wang, Wenhao Yu, Meng Jiang:
Counterfactual Graph Learning for Link Prediction. CoRR abs/2106.02172 (2021) - 2020
- [j3]Gang Liu, Fuyuan Xiao, Chin-Teng Lin, Zehong Cao:
A Fuzzy Interval Time-Series Energy and Financial Forecasting Model Using Network-Based Multiple Time-Frequency Spaces and the Induced-Ordered Weighted Averaging Aggregation Operation. IEEE Trans. Fuzzy Syst. 28(11): 2677-2690 (2020)
2010 – 2019
- 2019
- [j2]Gang Liu, Fuyuan Xiao:
A Data-Driven Dynamic Data Fusion Method Based on Visibility Graph and Evidence Theory. IEEE Access 7: 104443-104452 (2019) - [j1]Gang Liu, Fuyuan Xiao:
Time Series Data Fusion Based on Evidence Theory and OWA Operator. Sensors 19(5): 1171 (2019)
1990 – 1999
- 1997
- [c1]Jiawei Han, Jenny Chiang, Sonny Han Seng Chee, Jianping Chen, Qing Chen, Shan Cheng, Wan Gong, Micheline Kamber, Krzysztof Koperski, Gang Liu, Yijun Lu, Nebojsa Stefanovic, Lara Winstone, Betty Xia, Osmar R. Zaïane, Shuhua Zhang, Hua Zhu:
DBMiner: a system for data mining in relational databases and data warehouses. CASCON 1997: 8
Coauthor Index
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