2024

1. [24]

   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]
2. [23]

   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 Web Conference. [paper] [code]
3. [22]

   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]
4. [21]

   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]

2023

1. [20]

   Zeyang Zhang, Xin Wang, Ziwei Zhang, Haoyang Li, Yijian Qin, Simin Wu, Wenwu Zhu LLM4DyG: Can Large Language Models Solve Problems on Dynamic Graphs? Under Review, [paper]
2. [19]

   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]
3. [18]

   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]
4. [17]

   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]
5. [16]

   Haoyang Li, Xin Wang, Ziwei Zhang, Wenwu Zhu Out-Of-Distribution Generalization on Graphs: A Survey Under Review, [paper] [website]
6. [15]

   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]
7. [14]

   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]
8. [13]

   Haoyang Li, Xin Wang, Wenwu Zhu Curriculum Graph Machine Learning: A Survey IJCAI 2023, International Joint Conference on Artificial Intelligence. [paper]
9. [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]
10. [11]

    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]
11. [10]

    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]

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]

   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]
3. [7]

   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]
4. [6]

   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]

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]