1. [5]

   Graph Machine Learning under Distribution Shifts: Adaptation, Generalization and Extension to LLM Speakers: Xin Wang, Haoyang Li, Zeyang Zhang, Wenwu Zhu Tutorial in AAAI Conference on Artificial Intelligence (AAAI 2025)
   February 25, 2025 @ Philadelphia, Pennsylvania, USA
2. [4]

   Graph Machine Learning under Distribution Shifts: Adaptation, Generalization and Extension to LLM Speakers: Xin Wang, Haoyang Li, Zeyang Zhang, Wenwu Zhu Tutorial in International Joint Conference on Artificial Intelligence (IJCAI 2024)
   August 03, 2024 @ Jeju
3. [3]

   Towards Out-of-Distribution Generalization on Graphs Speakers: Xin Wang, Haoyang Li, Wenwu Zhu Tutorial in AAAI Conference on Artificial Intelligence (AAAI 2024)
   February 20, 2024 @ Vancouver, BC, Canada
4. [2]

   Towards Out-of-Distribution Generalization on Graphs Speakers: Xin Wang, Haoyang Li, Wenwu Zhu Tutorial in International Joint Conference on Artificial Intelligence (IJCAI 2023)
   August 19, 2023 @ Macao, S.A.R
5. [1]

   Towards Out-of-Distribution Generalization on Graphs Speakers: Xin Wang, Haoyang Li, Wenwu Zhu Tutorial in The ACM Web Conference (WWW 2023)
   May 1, 2023 @ Austin, Texas, USA

2024

1. [30]

   Haoyang Li, Xin Wang, Zeyang Zhang, Haibo Chen, Ziwei Zhang, Wenwu Zhu. Disentangled Graph Self-supervised Learning for Out-of-Distribution Generalization ICML 2024, International Conference on Machine Learning. [paper]
2. [29]

   Haoyang Li, Xin Wang, Ziwei Zhang, Wenwu Zhu OOD-GNN: Out-of-Distribution Generalized Graph Neural Network (Extended Abstract) ICDE 2024, IEEE International Conference on Data Engineering. Extended Abstract. [paper]
3. [28]

   Chang Su, Yu Hou, Jielin Xu, Zhenxing Xu, Manqi Zhou, Alison Ke, Haoyang Li, Jie Xu, Matthew Brendel, Jacqueline R. M. A. Maasch, Zilong Bai, Haotan Zhang, Yingying Zhu, Molly C. Cincotta, Xinghua Shi, Claire Henchcliffe, James B. Leverenz, Jeffrey Cummings, Michael S. Okun, Jiang Bian, Feixiong Cheng, Fei Wang. Identification of Parkinson’s disease PACE subtypes and repurposing treatments through integrative analyses of multimodal data Nature npj Digital Medicine. [paper]
4. [27]

   Tianrui Jia, Haoyang Li, Cheng Yang, Tao Tao, Chuan Shi Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization AAAI 2024, Thirty-Eighth AAAI Conference on Artificial Intelligence. [paper]
5. [26]

   Jie Cai, Xin Wang, Haoyang Li, Ziwei Zhang, Wenwu Zhu Multimodal Graph Neural Architecture Search under Distribution Shifts AAAI 2024, Thirty-Eighth AAAI Conference on Artificial Intelligence. [paper]
6. [25]

   Chen Huang, Haoyang Li, Yifan Zhang, Wenqiang Lei, Jiancheng Lv Cross-Space Adaptive Filter: Integrating Graph Topology and Node Attributes for Alleviating the Over-smoothing Problem WWW 2024, The ACM Web Conference. [paper] [code]
7. [24]

   Zeyang Zhang, Xin Wang, Haibo Chen, Haoyang Li, Wenwu Zhu. Disentangled Dynamic Graph Attention Network for Out-of-distribution Sequential Recommendation TOIS 2024, ACM Transactions on Information Systems. [paper]
8. [23]

   Yuwei Zhou, Zirui Pan, Xin Wang, Hong Chen, Haoyang Li, Yanwen Huang, Zhixiao Xiong, Fangzhou Xiong, Peiyang Xu, Shengnan liu, Wenwu Zhu. CurBench: Curriculum Learning Benchmark ICML 2024, International Conference on Machine Learning. [paper]
9. [22]

   Zeyang Zhang, Xin Wang, Ziwei Zhang, Haoyang Li, Yijian Qin, Wenwu Zhu LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs? KDD 2024, SIGKDD Conference on Knowledge Discovery and Data Mining. [paper]
10. [21]

    Xin Wang, Ziwei Zhang, Haoyang Li, Wenwu Zhu Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions Under Review, [paper] [paper collection ] [open source library ]
11. [20]

    Bowen Liu, Haoyang Li, Shuning Wang, Shuo Nie, Shanghang Zhang. Subgraph Aggregation for Out-of-Distribution Generalization on Graphs Under Review, [paper]

2023

1. [19]

   Haoyang Li, Ziwei Zhang, Xin Wang, Wenwu Zhu Invariant Node Representation Learning under Distribution Shifts with Multiple Latent Environments TOIS 2023, ACM Transactions on Information Systems. [paper]
2. [18]

   Haoyang Li, Xin Wang, Wenwu Zhu Curriculum Graph Machine Learning: A Survey IJCAI 2023, International Joint Conference on Artificial Intelligence. [paper]
3. [17]

   Haoyang Li, Xin Wang, Ziwei Zhang, Jianxin Ma, Peng Cui, Wenwu Zhu Intention-aware Sequential Recommendation with Structured Intent Transition ICDE 2023, IEEE International Conference on Data Engineering. Extended Abstract. [paper]
4. [16]

   Wei Feng*, Haoyang Li*, Xin Wang, Xuguang Duan, Zi Qian, Wenwu Zhu Multimedia Cognition and Evaluation in Open Environments MM 2023 McGE Workshop, Workshop on Multimedia Content Generation and Evaluation. Best Paper Award. [paper]
5. [15]

   Haoyang Li, Xin Wang, Ziwei Zhang, Wenwu Zhu Out-Of-Distribution Generalization on Graphs: A Survey Under Review, [paper] [website]
6. [14]

   Ziwei Zhang, Haoyang Li, Zeyang Zhang, Yijian Qin, Xin Wang, Wenwu Zhu Graph Meets LLMs: Towards Large Graph Models NeurIPS 2023 GLFrontiers Workshop, Workshop on New Frontiers in Graph Learning. [paper]
7. [13]

   Zeyang Zhang, Xin Wang, Ziwei Zhang, Zhou Qin, Weigao Wen, Hui Xue, Haoyang Li, Wenwu Zhu Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts NeurIPS 2023, Advances in Neural Information Processing Systems. [paper]
8. [12]

   Yuling Wang, Xiao Wang, Xiangzhou Huang, Yanhua Yu, Haoyang Li, Mengdi Zhang, Zirui Guo, Wei Wu Intent-aware Recommendation via Disentangled Graph Contrastive Learning IJCAI 2023, International Joint Conference on Artificial Intelligence. [paper]
9. [11]

   Zizhao Zhang, Xin Wang, Chaoyu Guan, Ziwei Zhang, Haoyang Li, Wenwu Zhu AutoGT: Automated Graph Transformer Architecture Search ICLR 2023, International Conference on Learning Representations. Top-5%, Oral. [paper] [code]
10. [10]

    Zeyang Zhang, Xin Wang, Ziwei Zhang, Haoyang Li, Wenwu Zhu Out-of-Distribution Generalized Dynamic Graph Neural Network with Disentangled Intervention and Invariance Promotion Under Review, [paper]

2022

1. [9]

   Haoyang Li, Ziwei Zhang, Xin Wang, Wenwu Zhu Learning Invariant Graph Representations for Out-of-Distribution Generalization NeurIPS 2022, Advances in Neural Information Processing Systems. [paper] [code] [poster]
2. [8]

   Haoyang Li, Ziwei Zhang, Xin Wang, Wenwu Zhu Disentangled Graph Contrastive Learning With Independence Promotion TKDE 2022, IEEE Transactions on Knowledge and Data Engineering. [paper] [code]
3. [7]

   Haoyang Li, Xin Wang, Ziwei Zhang, Wenwu Zhu OOD-GNN: Out-of-Distribution Generalized Graph Neural Network TKDE 2022, IEEE Transactions on Knowledge and Data Engineering. [paper] [code]
4. [6]

   Zeyang Zhang, Xin Wang, Ziwei Zhang, Haoyang Li, Zhou Qin, Wenwu Zhu. Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift NeurIPS 2022, Advances in Neural Information Processing Systems. [paper] [code]

2021

1. [5]

   Haoyang Li, Xin Wang, Ziwei Zhang, Zehuan Yuan, Hang Li, Wenwu Zhu Disentangled Contrastive Learning on Graphs NeurIPS 2021, Advances in Neural Information Processing Systems. [paper] [code] [slides]
2. [4]

   Haoyang Li, Xin Wang, Ziwei Zhang, Jianxin Ma, Peng Cui, Wenwu Zhu Intention-aware Sequential Recommendation with Structured Intent Transition TKDE 2021, IEEE Transactions on Knowledge and Data Engineering. [paper] [code] [slides]
3. [3]

   Chaoyu Guan, Ziwei Zhang, Haoyang Li, Heng Chang, Zeyang Zhang, Yijian Qin, Jiyan Jiang, Xin Wang, Wenwu Zhu AutoGL: A Library for Automated Graph Learning ICLR 2021 GTRL Workshop, Workshop on Geometrical and Topological Representation Learning. [paper] [website]

< 2020

1. [2]

   Haoyang Li, Peng Cui, Chengxi Zang, Tianyang Zhang, Wenwu Zhu, Yishi Lin Fates of Microscopic Social Ecosystems: Keep Alive or Dead? KDD 2019, SIGKDD Conference on Knowledge Discovery and Data Mining. Oral. [paper]
2. [1]

   Ziwei Zhang, Peng Cui, Haoyang Li, Xiao Wang, Wenwu Zhu Billion-scale network embedding with iterative random projection ICDM 2018, IEEE International Conference on Data Mining. Oral, acceptance rate 8.9%. [paper] [code] [slides]