Haoyang Li - RankMe

46 papers A* 19Journal 24Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Out-of-Distribution Generalization in Graph Foundation Models. CoRR Haoyang Li, Haibo Chen, Xin Wang, Wenwu Zhu
2026	J	`jnl`	Uncertainty-Aware Disentangled Dynamic Graph Attention Network for Out-of-Distribution Generalization. IEEE Trans. Pattern Anal. Mach. Intell. Xin Wang, Haoyang Li, Zeyang Zhang, Haibo Chen, Tong Xiao, Kehan Li, Wenwu Zhu
2025	A*	`conf`	AutoGFM: Automated Graph Foundation Model with Adaptive Architecture Customization. ICML Haibo Chen, Xin Wang, Zeyang Zhang, Haoyang Li, Ling Feng, Wenwu Zhu
2025	J	`jnl`	COLA-GLM: collaborative one-shot and lossless algorithms of generalized linear models for decentralized observational healthcare data. npj Digit. Medicine 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, Yu Huang, Haoyang Li, Chao Yan, Guojun Tang, Andrew E. Williams, Fei Wang, Jiang Bian, Bradley A. Malin, George Hripcsak, Martijn J. Schuemie, Yun Lu, Steve Drew, Jiayu Zhou, David A. Asch, Yong Chen
2025	J	`jnl`	Disentangled Dynamic Graph Attention Network for Out-of-Distribution Sequential Recommendation. ACM Trans. Inf. Syst. Zeyang Zhang, Xin Wang, Haibo Chen, Haoyang Li, Wenwu Zhu
2025	A*	`conf`	Disentangling Invariant Subgraph via Variance Contrastive Estimation under Distribution Shifts. ICML Haoyang Li, Xin Wang, Xueling Zhu, Weigao Wen, Wenwu Zhu
2025	J	`jnl`	Federated Causal Inference in Healthcare: Methods, Challenges, and Applications. CoRR Haoyang Li, Jie Xu, Kyra Gan, Fei Wang, Chengxi Zang
2025	J	`jnl`	Federated target trial emulation using distributed observational data for treatment effect estimation. npj Digit. Medicine Haoyang Li, Chengxi Zang, Zhenxing Xu, Weishen Pan, Suraj Rajendran, Yong Chen, Fei Wang
2025	—	`conf`	Graph Machine Learning under Distribution Shifts: Adaptation, Generalization and Extension to LLM. WWW (Companion Volume) Xin Wang, Haoyang Li, Zeyang Zhang, Wenwu Zhu
2025	J	`jnl`	Modular Machine Learning: An Indispensable Path towards New-Generation Large Language Models. CoRR Xin Wang, Haoyang Li, Zeyang Zhang, Haibo Chen, Wenwu Zhu
2025	J	`jnl`	Out-of-Distribution Generalization on Graphs: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. Haoyang Li, Xin Wang, Ziwei Zhang, Wenwu Zhu
2025	A*	`conf`	Self-supervised Masked Graph Autoencoder via Structure-aware Curriculum. ICML Haoyang Li, Xin Wang, Zeyang Zhang, Zongyuan Wu, Linxin Xiao, Wenwu Zhu
2024	A*	`conf`	Cross-Space Adaptive Filter: Integrating Graph Topology and Node Attributes for Alleviating the Over-smoothing Problem. WWW Chen Huang, Haoyang Li, Yifan Zhang, Wenqiang Lei, Jiancheng Lv
2024	J	`jnl`	Cross-Space Adaptive Filter: Integrating Graph Topology and Node Attributes for Alleviating the Over-smoothing Problem. CoRR Chen Huang, Haoyang Li, Yifan Zhang, Wenqiang Lei, Jiancheng Lv
2024	A*	`conf`	CurBench: Curriculum Learning Benchmark. ICML Yuwei Zhou, Zirui Pan, Xin Wang, Hong Chen, Haoyang Li, Yanwen Huang, Zhixiao Xiong, Fangzhou Xiong, Peiyang Xu, Shengnan Liu, Wenwu Zhu
2024	A*	`conf`	Disentangled Graph Self-supervised Learning for Out-of-Distribution Generalization. ICML Haoyang Li, Xin Wang, Zeyang Zhang, Haibo Chen, Ziwei Zhang, Wenwu Zhu
2024	J	`jnl`	Identification of Parkinson's disease PACE subtypes and repurposing treatments through integrative analyses of multimodal data. npj Digit. Medicine 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
2024	J	`jnl`	Intent-aware Recommendation via Disentangled Graph Contrastive Learning. CoRR Yuling Wang, Xiao Wang, Xiangzhou Huang, Yanhua Yu, Haoyang Li, Mengdi Zhang, Zirui Guo, Wei Wu
2024	J	`jnl`	Invariant Node Representation Learning under Distribution Shifts with Multiple Latent Environments. ACM Trans. Inf. Syst. Haoyang Li, Ziwei Zhang, Xin Wang, Wenwu Zhu
2024	A*	`conf`	LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs? KDD Zeyang Zhang, Xin Wang, Ziwei Zhang, Haoyang Li, Yijian Qin, Wenwu Zhu
2024	A*	`conf`	Multimodal Graph Neural Architecture Search under Distribution Shifts. AAAI Jie Cai, Xin Wang, Haoyang Li, Ziwei Zhang, Wenwu Zhu
2024	A*	`conf`	OOD-GNN: Out-of-Distribution Generalized Graph Neural Network: (Extended Abstract). ICDE Haoyang Li, Xin Wang, Ziwei Zhang, Wenwu Zhu
2024	J	`jnl`	Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts. CoRR Zeyang Zhang, Xin Wang, Ziwei Zhang, Zhou Qin, Weigao Wen, Hui Xue, Haoyang Li, Wenwu Zhu
2023	A*	`conf`	AutoGT: Automated Graph Transformer Architecture Search. ICLR Zizhao Zhang, Xin Wang, Chaoyu Guan, Ziwei Zhang, Haoyang Li, Wenwu Zhu
2023	A*	`conf`	Curriculum Graph Machine Learning: A Survey. IJCAI Haoyang Li, Xin Wang, Wenwu Zhu
2023	J	`jnl`	Curriculum Graph Machine Learning: A Survey. CoRR Haoyang Li, Xin Wang, Wenwu Zhu
2023	J	`jnl`	Disentangled Graph Contrastive Learning With Independence Promotion. IEEE Trans. Knowl. Data Eng. Haoyang Li, Ziwei Zhang, Xin Wang, Wenwu Zhu
2023	A*	`conf`	Intent-aware Recommendation via Disentangled Graph Contrastive Learning. IJCAI Yuling Wang, Xiao Wang, Xiangzhou Huang, Yanhua Yu, Haoyang Li, Mengdi Zhang, Zirui Guo, Wei Wu
2023	A*	`conf`	Intention-aware Sequential Recommendation with Structured Intent Transition : (Extended Abstract). ICDE Haoyang Li, Xin Wang, Ziwei Zhang, Jianxin Ma, Peng Cui, Wenwu Zhu
2023	J	`jnl`	LLM4DyG: Can Large Language Models Solve Problems on Dynamic Graphs? CoRR Zeyang Zhang, Xin Wang, Ziwei Zhang, Haoyang Li, Yijian Qin, Simin Wu, Wenwu Zhu
2023	J	`jnl`	Large Graph Models: A Perspective. CoRR Ziwei Zhang, Haoyang Li, Zeyang Zhang, Yijian Qin, Xin Wang, Wenwu Zhu
2023	—	`conf`	Multimedia Cognition and Evaluation in Open Environments. MCGE@MM Wei Feng, Haoyang Li, Xin Wang, Xuguang Duan, Zi Qian, Wu Liu, Wenwu Zhu
2023	J	`jnl`	OOD-GNN: Out-of-Distribution Generalized Graph Neural Network. IEEE Trans. Knowl. Data Eng. Haoyang Li, Xin Wang, Ziwei Zhang, Wenwu Zhu
2023	J	`jnl`	Out-of-Distribution Generalized Dynamic Graph Neural Network with Disentangled Intervention and Invariance Promotion. CoRR Zeyang Zhang, Xin Wang, Ziwei Zhang, Haoyang Li, Wenwu Zhu
2023	A*	`conf`	Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts. NeurIPS Zeyang Zhang, Xin Wang, Ziwei Zhang, Zhou Qin, Weigao Wen, Hui Xue, Haoyang Li, Wenwu Zhu
2023	—	`conf`	Tutorials at The Web Conference 2023. WWW (Companion Volume) 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 R. 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
2022	A*	`conf`	Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift. NeurIPS Zeyang Zhang, Xin Wang, Ziwei Zhang, Haoyang Li, Zhou Qin, Wenwu Zhu
2022	J	`jnl`	Intention-Aware Sequential Recommendation With Structured Intent Transition. IEEE Trans. Knowl. Data Eng. Haoyang Li, Xin Wang, Ziwei Zhang, Jianxin Ma, Peng Cui, Wenwu Zhu
2022	A*	`conf`	Learning Invariant Graph Representations for Out-of-Distribution Generalization. NeurIPS Haoyang Li, Ziwei Zhang, Xin Wang, Wenwu Zhu
2022	J	`jnl`	Out-Of-Distribution Generalization on Graphs: A Survey. CoRR Haoyang Li, Xin Wang, Ziwei Zhang, Wenwu Zhu
2021	J	`jnl`	AutoGL: A Library for Automated Graph Learning. CoRR Chaoyu Guan, Ziwei Zhang, Haoyang Li, Heng Chang, Zeyang Zhang, Yijian Qin, Jiyan Jiang, Xin Wang, Wenwu Zhu
2021	A*	`conf`	Disentangled Contrastive Learning on Graphs. NeurIPS Haoyang Li, Xin Wang, Ziwei Zhang, Zehuan Yuan, Hang Li, Wenwu Zhu
2021	J	`jnl`	OOD-GNN: Out-of-Distribution Generalized Graph Neural Network. CoRR Haoyang Li, Xin Wang, Ziwei Zhang, Wenwu Zhu
2019	A*	`conf`	Fates of Microscopic Social Ecosystems: Keep Alive or Dead? KDD Haoyang Li, Peng Cui, Chengxi Zang, Tianyang Zhang, Wenwu Zhu, Yishi Lin
2018	A*	`conf`	Billion-Scale Network Embedding with Iterative Random Projection. ICDM Ziwei Zhang, Peng Cui, Haoyang Li, Xiao Wang, Wenwu Zhu
2018	J	`jnl`	Billion-scale Network Embedding with Iterative Random Projection. CoRR Ziwei Zhang, Peng Cui, Haoyang Li, Xiao Wang, Wenwu Zhu