Inductive Matrix Completion Using Graph Autoencoder. - Wei Shen 005; Chuheng Zhang; Yun Tian; Liang Zeng 002; Xiaonan He; Wanchun Dou; Xiaolong Xu 001 (CIKM, 2021)

Graph Symbiosis Learning. - Liang Zeng 002; Jin Xu 010; Zijun Yao 002; Yanqiao Zhu 001; Jian Li 015 (CoRR, 2021)

Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Adaptive Refined Labeling. - Liang Zeng 002; Lei Wang; Hui Niu; Jian Li; Ruchen Zhang; Zhonghao Dai; Dewei Zhu; Ling Wang (CoRR, 2021)

CDGNet: A Cross-Time Dynamic Graph-based Deep Learning Model for Traffic Forecasting. - Yuchen Fang 001; Yanjun Qin; Haiyong Luo; Fang Zhao 003; Liang Zeng 002; Bo Hui 001; Chenxing Wang 001 (CoRR, 2021)

STformer: A Noise-Aware Efficient Spatio-Temporal Transformer Architecture for Traffic Forecasting. - Yanjun Qin; Yuchen Fang 001; Haiyong Luo; Liang Zeng 002; Fang Zhao 003; Chenxing Wang 001 (CoRR, 2021)

Context-Aware Sparse Deep Coordination Graphs. - Tonghan Wang 001; Liang Zeng 002; Weijun Dong; Qianlan Yang; Yang Yu 001; Chongjie Zhang (ICLR, 2022)

ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery. - Lanqing Li; Liang Zeng 002; Ziqi Gao; Shen Yuan; Yatao Bian; Bingzhe Wu; Hengtong Zhang; Chan Lu; Yang Yu 010; Wei Liu 005; Hongteng Xu; Jia Li 009; et al. (CoRR, 2022)

ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification. - Liang Zeng 002; Lanqing Li; Ziqi Gao; Peilin Zhao; Jian Li (AAAI, 2023)

AEC-GAN: Adversarial Error Correction GANs for Auto-Regressive Long Time-Series Generation. - Lei Wang; Liang Zeng 002; Jian Li (AAAI, 2023)

AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange. - Liang Zeng 002; Jin Xu 010; Zijun Yao 002; Yanqiao Zhu 001; Jian Li 015 (CIKM, 2023)

When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks. - Yuchen Fang 001; Yanjun Qin; Haiyong Luo; Fang Zhao 003; Bingbing Xu 001; Liang Zeng 002; Chenxing Wang 001 (ICDE, 2023)

MolKD: Distilling Cross-Modal Knowledge in Chemical Reactions for Molecular Property Prediction. - Liang Zeng 002; Lanqing Li; Jian Li (CoRR, 2023)

Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling. - Liang Zeng 002; Lei Wang; Hui Niu; Ruchen Zhang; Ling Wang; Jian Li (IJCAI, 2024)

Towards Geometric Normalization Techniques in SE(3) Equivariant Graph Neural Networks for Physical Dynamics Simulations. - Ziqiao Meng; Liang Zeng 002; Zixing Song; Tingyang Xu; Peilin Zhao; Irwin King (IJCAI, 2024)

CDGNet: A Cross-Time Dynamic Graph-Based Deep Learning Model for Vehicle-Based Traffic Speed Forecasting. - Yuchen Fang 001; Haiyong Luo; Fang Zhao 003; Poly Z. H. Sun; Yanjun Qin; Liang Zeng 002; Bo Hui 001; Chenxing Wang 001 (IEEE Trans. Intell. Veh., 2025)

Policy-to-Language: Train LLMs to Explain Decisions with Flow-Matching Generated Rewards. - Xinyi Yang; Liang Zeng 002; Heng Dong 001; Chao Yu; Xiaoran Wu; Huazhong Yang; Yu Wang; Milind Tambe; Tonghan Wang 001 (CoRR, 2025)