DBMiner: a system for data mining in relational databases and data warehouses. - Jiawei Han 001; Jenny Chiang; Sonny Han Seng Chee; Jianping Chen; Qing Chen; Shan Cheng; Wan Gong; Micheline Kamber; Krzysztof Koperski; Gang Liu 025; Yijun Lu; Nebojsa Stefanovic; et al. (CASCON, 1997)

A Data-Driven Dynamic Data Fusion Method Based on Visibility Graph and Evidence Theory. - Gang Liu 025; Fuyuan Xiao 001 (IEEE Access, 2019)

Time Series Data Fusion Based on Evidence Theory and OWA Operator. - Gang Liu 025; Fuyuan Xiao 001 (Sensors, 2019)

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. - Gang Liu 025; Fuyuan Xiao 001; Chin-Teng Lin; Zehong Cao (IEEE Trans. Fuzzy Syst., 2020)

Counterfactual Graph Learning for Link Prediction. - Tong Zhao 003; Gang Liu 025; Daheng Wang; Wenhao Yu 002; Meng Jiang 001 (CoRR, 2021)

Learning from Counterfactual Links for Link Prediction. - Tong Zhao 003; Gang Liu 025; Daheng Wang; Wenhao Yu 002; Meng Jiang 001 (ICML, 2022)

Graph Rationalization with Environment-based Augmentations. - Gang Liu 025; Tong Zhao 003; Jiaxin Xu; Tengfei Luo; Meng Jiang 001 (KDD, 2022)

Graph Data Augmentation for Graph Machine Learning: A Survey. - Tong Zhao 003; Gang Liu 025; Stephan Günnemann; Meng Jiang 001 (CoRR, 2022)

On the Relationship between Counterfactual Explainer and Recommender: A Framework and Preliminary Observations. - Gang Liu 025; Zhihan Zhang 001; Zheng Ning; Meng Jiang 001 (CoRR, 2022)

Explaining AI-Informed Network Intrusion Detection with Counterfactuals. - Gang Liu 025; Meng Jiang 001 (INFOCOM Workshops, 2023)

Semi-Supervised Graph Imbalanced Regression. - Gang Liu 025; Tong Zhao 003; Eric Inae; Tengfei Luo; Meng Jiang 001 (KDD, 2023)

Data-Centric Learning from Unlabeled Graphs with Diffusion Model. - Gang Liu 025; Eric Inae; Tong Zhao 003; Jiaxin Xu; Tengfei Luo; Meng Jiang 001 (NeurIPS, 2023)

Explaining Tree Model Decisions in Natural Language for Network Intrusion Detection. - Noah Ziems; Gang Liu 025; John Flanagan; Meng Jiang 001 (CoRR, 2023)

Graph Data Augmentation for Graph Machine Learning: A Survey. - Tong Zhao 003; Wei Jin 009; Yozen Liu; Yingheng Wang; Gang Liu 025; Stephan Günnemann; Neil Shah; Meng Jiang 001 (IEEE Data Eng. Bull., 2023)

Network Immunization Strategy by Eliminating Fringe Nodes: A Percolation Perspective. - Gang Liu 025; Yong Deng 001; Kang Hao Cheong (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Invited: Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm. - Zhiding Liang; Gang Liu 025; Zheyuan Liu 010; Jinglei Cheng; Tianyi Hao 003; Kecheng Liu; Hang Ren; Zhixin Song; Ji Liu 007; Fanny Ye; Yiyu Shi 001 (DAC, 2024)

Motif-Aware Attribute Masking for Molecular Graph Pre-Training. - Eric Inae; Gang Liu 025; Meng Jiang 001 (LoG, 2024)

Inverse Molecular Design with Multi-Conditional Diffusion Guidance. - Gang Liu 025; Jiaxin Xu; Tengfei Luo; Meng Jiang 001 (CoRR, 2024)

Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm. - Zhiding Liang; Gang Liu 025; Zheyuan Liu 010; Jinglei Cheng; Tianyi Hao 003; Kecheng Liu; Hang Ren; Zhixin Song; Ji Liu 007; Fanny Ye; Yiyu Shi 001 (CoRR, 2024)

Rationalizing Graph Neural Networks with Data Augmentation. - Gang Liu 025; Eric Inae; Tengfei Luo; Meng Jiang 001 (ACM Trans. Knowl. Discov. Data, 2024)

Large Language Models on Graphs: A Comprehensive Survey. - Bowen Jin; Gang Liu 025; Chi Han; Meng Jiang 001; Heng Ji 001; Jiawei Han 001 (IEEE Trans. Knowl. Data Eng., 2024)

Learning Molecular Representation in a Cell. - Gang Liu 025; Srijit Seal; John Arevalo; Zhenwen Liang; Anne E. Carpenter; Meng Jiang 001; Shantanu Singh (ICLR, 2025)

POINT2: A Polymer Informatics Training and Testing Database. - Jiaxin Xu; Gang Liu 025; Ruilan Guo; Meng Jiang 001; Tengfei Luo (CoRR, 2025)

Learning Repetition-Invariant Representations for Polymer Informatics. - Yihan Zhu; Gang Liu 025; Eric Inae; Tengfei Luo; Meng Jiang 001 (CoRR, 2025)

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning. - Yihan Zhu; Gang Liu 025; Eric Inae; Meng Jiang 001 (CoRR, 2025)