Billion-Scale Network Embedding with Iterative Random Projection. - Ziwei Zhang 001; Peng Cui 001; Haoyang Li 001; Xiao Wang 017; Wenwu Zhu 001 (ICDM, 2018)

Fates of Microscopic Social Ecosystems: Keep Alive or Dead? - Haoyang Li 001; Peng Cui 001; Chengxi Zang; Tianyang Zhang 001; Wenwu Zhu 001; Yishi Lin (KDD, 2019)

Disentangled Contrastive Learning on Graphs. - Haoyang Li 001; Xin Wang 019; Ziwei Zhang 001; Zehuan Yuan; Hang Li; Wenwu Zhu 001 (NeurIPS, 2021)

AutoGL: A Library for Automated Graph Learning. - Chaoyu Guan; Ziwei Zhang 001; Haoyang Li 001; Heng Chang; Zeyang Zhang 001; Yijian Qin; Jiyan Jiang; Xin Wang 019; Wenwu Zhu 001 (CoRR, 2021)

Learning Invariant Graph Representations for Out-of-Distribution Generalization. - Haoyang Li 001; Ziwei Zhang 001; Xin Wang 019; Wenwu Zhu 001 (NeurIPS, 2022)

Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift. - Zeyang Zhang 001; Xin Wang 019; Ziwei Zhang 001; Haoyang Li 001; Zhou Qin; Wenwu Zhu 001 (NeurIPS, 2022)

Out-Of-Distribution Generalization on Graphs: A Survey. - Haoyang Li 001; Xin Wang 019; Ziwei Zhang 001; Wenwu Zhu 001 (CoRR, 2022)

Intention-Aware Sequential Recommendation With Structured Intent Transition. - Haoyang Li 001; Xin Wang 019; Ziwei Zhang 001; Jianxin Ma; Peng Cui 001; Wenwu Zhu 001 (IEEE Trans. Knowl. Data Eng., 2022)

Intention-aware Sequential Recommendation with Structured Intent Transition : (Extended Abstract). - Haoyang Li 001; Xin Wang 019; Ziwei Zhang 001; Jianxin Ma; Peng Cui 001; Wenwu Zhu 001 (ICDE, 2023)

AutoGT: Automated Graph Transformer Architecture Search. - Zizhao Zhang; Xin Wang 019; Chaoyu Guan; Ziwei Zhang 001; Haoyang Li 001; Wenwu Zhu 001 (ICLR, 2023)

Curriculum Graph Machine Learning: A Survey. - Haoyang Li 001; Xin Wang 019; Wenwu Zhu 001 (IJCAI, 2023)

Multimedia Cognition and Evaluation in Open Environments. - Wei Feng; Haoyang Li 001; Xin Wang 019; Xuguang Duan; Zi Qian; Wu Liu; Wenwu Zhu 001 (MCGE@MM, 2023)

Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts. - Zeyang Zhang 001; Xin Wang 019; Ziwei Zhang 001; Zhou Qin; Weigao Wen; Hui Xue 001; Haoyang Li 001; Wenwu Zhu 001 (NeurIPS, 2023)

Tutorials at The Web Conference 2023. - Valeria Fionda; Olaf Hartig; Reyhaneh Abdolazimi; Sihem Amer-Yahia; Hongzhi Chen; Xiao Chen 016; Peng Cui 001; Jeffrey Dalton 001; Xin Luna Dong; Lisette Espín-Noboa; Wenqi Fan; Manuela Fritz; et al. (WWW (Companion Volume), 2023)

Large Graph Models: A Perspective. - Ziwei Zhang 001; Haoyang Li 001; Zeyang Zhang 001; Yijian Qin; Xin Wang 019; Wenwu Zhu 001 (CoRR, 2023)

LLM4DyG: Can Large Language Models Solve Problems on Dynamic Graphs? - Zeyang Zhang 001; Xin Wang 019; Ziwei Zhang 001; Haoyang Li 001; Yijian Qin; Simin Wu; Wenwu Zhu 001 (CoRR, 2023)

Out-of-Distribution Generalized Dynamic Graph Neural Network with Disentangled Intervention and Invariance Promotion. - Zeyang Zhang 001; Xin Wang 019; Ziwei Zhang 001; Haoyang Li 001; Wenwu Zhu 001 (CoRR, 2023)

OOD-GNN: Out-of-Distribution Generalized Graph Neural Network. - Haoyang Li 001; Xin Wang 019; Ziwei Zhang 001; Wenwu Zhu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Disentangled Graph Contrastive Learning With Independence Promotion. - Haoyang Li 001; Ziwei Zhang 001; Xin Wang 019; Wenwu Zhu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Multimodal Graph Neural Architecture Search under Distribution Shifts. - Jie Cai 002; Xin Wang 019; Haoyang Li 001; Ziwei Zhang 001; Wenwu Zhu 001 (AAAI, 2024)

OOD-GNN: Out-of-Distribution Generalized Graph Neural Network: (Extended Abstract). - Haoyang Li 001; Xin Wang 019; Ziwei Zhang 001; Wenwu Zhu 001 (ICDE, 2024)

Disentangled Graph Self-supervised Learning for Out-of-Distribution Generalization. - Haoyang Li 001; Xin Wang 019; Zeyang Zhang 001; Haibo Chen 008; Ziwei Zhang 001; Wenwu Zhu 001 (ICML, 2024)

CurBench: Curriculum Learning Benchmark. - Yuwei Zhou; Zirui Pan; Xin Wang 019; Hong Chen 011; Haoyang Li 001; Yanwen Huang; Zhixiao Xiong; Fangzhou Xiong; Peiyang Xu; Shengnan Liu; Wenwu Zhu 001 (ICML, 2024)

LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs? - Zeyang Zhang 001; Xin Wang 019; Ziwei Zhang 001; Haoyang Li 001; Yijian Qin; Wenwu Zhu 001 (KDD, 2024)

Cross-Space Adaptive Filter: Integrating Graph Topology and Node Attributes for Alleviating the Over-smoothing Problem. - Chen Huang 006; Haoyang Li 001; Yifan Zhang; Wenqiang Lei; Jiancheng Lv 001 (WWW, 2024)

Identification of Parkinson's disease PACE subtypes and repurposing treatments through integrative analyses of multimodal data. - Chang Su 002; Yu Hou; Jielin Xu; Zhenxing Xu; Manqi Zhou; Alison Ke; Haoyang Li 001; Jie Xu 012; Matthew Brendel; Jacqueline R. M. A. Maasch; Zilong Bai; Haotan Zhang; et al. (npj Digit. Medicine, 2024)

Invariant Node Representation Learning under Distribution Shifts with Multiple Latent Environments. - Haoyang Li 001; Ziwei Zhang 001; Xin Wang 019; Wenwu Zhu 001 (ACM Trans. Inf. Syst., 2024)

Graph Machine Learning under Distribution Shifts: Adaptation, Generalization and Extension to LLM. - Xin Wang 019; Haoyang Li 001; Zeyang Zhang 001; Wenwu Zhu 001 (WWW (Companion Volume), 2025)

Federated target trial emulation using distributed observational data for treatment effect estimation. - Haoyang Li 001; Chengxi Zang; Zhenxing Xu; Weishen Pan; Suraj Rajendran; Yong Chen 016; Fei Wang 001 (npj Digit. Medicine, 2025)

COLA-GLM: collaborative one-shot and lossless algorithms of generalized linear models for decentralized observational healthcare data. - Qiong Wu; Jenna Marie Reps; Lu Li; Bingyu Zhang; Yiwen Lu; Jiayi Tong; Dazheng Zhang; Thomas Lumley; Milou T. Brand; Mui Van Zandt; Thomas Falconer; Xing He 003; et al. (npj Digit. Medicine, 2025)

Disentangled Dynamic Graph Attention Network for Out-of-Distribution Sequential Recommendation. - Zeyang Zhang 001; Xin Wang 019; Haibo Chen 008; Haoyang Li 001; Wenwu Zhu 001 (ACM Trans. Inf. Syst., 2025)

Modular Machine Learning: An Indispensable Path towards New-Generation Large Language Models. - Xin Wang 019; Haoyang Li 001; Zeyang Zhang 001; Haibo Chen 008; Wenwu Zhu 001 (CoRR, 2025)

Federated Causal Inference in Healthcare: Methods, Challenges, and Applications. - Haoyang Li 001; Jie Xu 012; Kyra Gan; Fei Wang 001; Chengxi Zang (CoRR, 2025)