Haoyang Li

According to our database, Haoyang Li authored at least 26 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Invariant Node Representation Learning under Distribution Shifts with Multiple Latent Environments.

Haoyang Li, Ziwei Zhang, Xin Wang, Wenwu Zhu

ACM Trans. Inf. Syst., January, 2024

Cross-Space Adaptive Filter: Integrating Graph Topology and Node Attributes for Alleviating the Over-smoothing Problem.

Chen Huang, Haoyang Li, Yifan Zhang, Wenqiang Lei, Jiancheng Lv

Proceedings of the ACM on Web Conference 2024, 2024

LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs?

Zeyang Zhang, Xin Wang, Ziwei Zhang, Haoyang Li, Yijian Qin, Wenwu Zhu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

CurBench: Curriculum Learning Benchmark.

Yuwei Zhou, Zirui Pan, Xin Wang, Hong Chen, Haoyang Li, Yanwen Huang, Zhixiao Xiong, Fangzhou Xiong, Peiyang Xu, Shengnan Liu, Wenwu Zhu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Disentangled Graph Self-supervised Learning for Out-of-Distribution Generalization.

Haoyang Li, Xin Wang, Zeyang Zhang, Haibo Chen, Ziwei Zhang, Wenwu Zhu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

OOD-GNN: Out-of-Distribution Generalized Graph Neural Network: (Extended Abstract).

Haoyang Li, Xin Wang, Ziwei Zhang, Wenwu Zhu

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Multimodal Graph Neural Architecture Search under Distribution Shifts.

Jie Cai, Xin Wang, Haoyang Li, Ziwei Zhang, Wenwu Zhu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Disentangled Graph Contrastive Learning With Independence Promotion.

Haoyang Li, Ziwei Zhang, Xin Wang, Wenwu Zhu

IEEE Trans. Knowl. Data Eng., August, 2023

OOD-GNN: Out-of-Distribution Generalized Graph Neural Network.

Haoyang Li, Xin Wang, Ziwei Zhang, Wenwu Zhu

IEEE Trans. Knowl. Data Eng., July, 2023

Out-of-Distribution Generalized Dynamic Graph Neural Network with Disentangled Intervention and Invariance Promotion.

Zeyang Zhang, Xin Wang, Ziwei Zhang, Haoyang Li, Wenwu Zhu

CoRR, 2023

LLM4DyG: Can Large Language Models Solve Problems on Dynamic Graphs?

Zeyang Zhang, Xin Wang, Ziwei Zhang, Haoyang Li, Yijian Qin, Simin Wu, Wenwu Zhu

CoRR, 2023

Large Graph Models: A Perspective.

Ziwei Zhang, Haoyang Li, Zeyang Zhang, Yijian Qin, Xin Wang, Wenwu Zhu

CoRR, 2023

Tutorials at The Web Conference 2023.

Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts.

Zeyang Zhang, Xin Wang, Ziwei Zhang, Zhou Qin, Weigao Wen, Hui Xue, Haoyang Li, Wenwu Zhu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multimedia Cognition and Evaluation in Open Environments.

Wei Feng, Haoyang Li, Xin Wang, Xuguang Duan, Zi Qian, Wu Liu, Wenwu Zhu

Proceedings of the 1st International Workshop on Multimedia Content Generation and Evaluation: New Methods and Practice, 2023

Curriculum Graph Machine Learning: A Survey.

Haoyang Li, Xin Wang, Wenwu Zhu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

AutoGT: Automated Graph Transformer Architecture Search.

Zizhao Zhang, Xin Wang, Chaoyu Guan, Ziwei Zhang, Haoyang Li, Wenwu Zhu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Intention-aware Sequential Recommendation with Structured Intent Transition : (Extended Abstract).

Haoyang Li, Xin Wang, Ziwei Zhang, Jianxin Ma, Peng Cui, Wenwu Zhu

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Intention-Aware Sequential Recommendation With Structured Intent Transition.

Haoyang Li, Xin Wang, Ziwei Zhang, Jianxin Ma, Peng Cui, Wenwu Zhu

IEEE Trans. Knowl. Data Eng., 2022

Out-Of-Distribution Generalization on Graphs: A Survey.

Haoyang Li, Xin Wang, Ziwei Zhang, Wenwu Zhu

CoRR, 2022

Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift.

Zeyang Zhang, Xin Wang, Ziwei Zhang, Haoyang Li, Zhou Qin, Wenwu Zhu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Invariant Graph Representations for Out-of-Distribution Generalization.

Haoyang Li, Ziwei Zhang, Xin Wang, Wenwu Zhu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

AutoGL: A Library for Automated Graph Learning.

Chaoyu Guan, Ziwei Zhang, Haoyang Li, Heng Chang, Zeyang Zhang, Yijian Qin, Jiyan Jiang, Xin Wang, Wenwu Zhu

CoRR, 2021

Disentangled Contrastive Learning on Graphs.

Haoyang Li, Xin Wang, Ziwei Zhang, Zehuan Yuan, Hang Li, Wenwu Zhu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Fates of Microscopic Social Ecosystems: Keep Alive or Dead?

Haoyang Li, Peng Cui, Chengxi Zang, Tianyang Zhang, Wenwu Zhu, Yishi Lin

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Billion-Scale Network Embedding with Iterative Random Projection.

Ziwei Zhang, Peng Cui, Haoyang Li, Xiao Wang, Wenwu Zhu

Proceedings of the IEEE International Conference on Data Mining, 2018