Li, Haoyang

31 publications

ICLR 2026 Adaptive Mixture of Disentangled Experts for Dynamic Graph Out-of-Distribution Generalization Haibo Chen, Xin Wang, Guanheng Chen, Yuan Meng, Haoyang Li, Yang Yao, Zeyang Zhang, Zhiqiang Zhang, Jun Zhou, Ling Feng, Wenwu Zhu

ICLR 2026 AudioTrust: Benchmarking the Multifaceted Trustworthiness of Audio Large Language Models Kai Li, Can Shen, Yile Liu, Jirui Han, Kelong Zheng, Xuechao Zou, Lionel Z. Wang, Shun Zhang, Xingjian Du, Hanjun Luo, Yingbin Jin, Xinxin Xing, Ziyang Ma, Yue Liu, YiFan Zhang, Junfeng Fang, Kun Wang, Yibo Yan, Gelei Deng, Haoyang Li, Yiming Li, Xiaobin Zhuang, Tianlong Chen, Qingsong Wen, Tianwei Zhang, Yang Liu, Haibo Hu, Zhizheng Wu, Xiaolin Hu, Eng Siong Chng, Wenyuan Xu, XiaoFeng Wang, Wei Dong, Xinfeng Li

ICLR 2026 ReCAPA: Hierarchical Predictive Correction to Mitigate Cascading Failures Xiyin Zeng, Yuyu Sun, Haoyang Li, Shouqiang Liu, Hao Wang

AAAI 2025 A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks Haoyang Li, Li Bai, Qingqing Ye, Haibo Hu, Yaxin Xiao, Huadi Zheng, Jianliang Xu

ICML 2025 A Selective Learning Method for Temporal Graph Continual Learning Hanmo Liu, Shimin Di, Haoyang Li, Xun Jian, Yue Wang, Lei Chen

TMLR 2025 A Survey on Large Language Model Acceleration Based on KV Cache Management Haoyang Li, Yiming Li, Anxin Tian, Tianhao Tang, Zhanchao Xu, Xuejia Chen, Nicole Hu, Wei Dong, Li Qing, Lei Chen

ICML 2025 AutoGFM: Automated Graph Foundation Model with Adaptive Architecture Customization Haibo Chen, Xin Wang, Zeyang Zhang, Haoyang Li, Ling Feng, Wenwu Zhu

CVPR 2025 DPC: Dual-Prompt Collaboration for Tuning Vision-Language Models Haoyang Li, Liang Wang, Chao Wang, Jing Jiang, Yan Peng, Guodong Long

CoRL 2025 Diffusion Dynamics Models with Generative State Estimation for Cloth Manipulation Tongxuan Tian, Haoyang Li, Bo Ai, Xiaodi Yuan, Zhiao Huang, Hao Su

ICML 2025 Disentangling Invariant Subgraph via Variance Contrastive Estimation Under Distribution Shifts Haoyang Li, Xin Wang, Xueling Zhu, Weigao Wen, Wenwu Zhu

ICCV 2025 Reminiscence Attack on Residuals: Exploiting Approximate Machine Unlearning for Privacy Yaxin Xiao, Qingqing Ye, Li Hu, Huadi Zheng, Haibo Hu, Zi Liang, Haoyang Li, Yijie Jiao

CVPR 2025 Robotic Visual Instruction Yanbang Li, Ziyang Gong, Haoyang Li, Xiaoqi Huang, Haolan Kang, Guangping Bai, Xianzheng Ma

ICML 2025 Self-Supervised Masked Graph Autoencoder via Structure-Aware Curriculum Haoyang Li, Xin Wang, Zeyang Zhang, Zongyuan Wu, Linxin Xiao, Wenwu Zhu

AAAI 2025 Subgraph Aggregation for Out-of-Distribution Generalization on Graphs Bowen Liu, Haoyang Li, Shuning Wang, Shuo Nie, Shanghang Zhang

ICCV 2025 VLR-Driver: Large Vision-Language-Reasoning Models for Embodied Autonomous Driving Fanjie Kong, Yitong Li, Weihuang Chen, Chen Min, Yizhe Li, Zhiqiang Gao, Haoyang Li, Zhongyu Guo, Hongbin Sun

AAAI 2024 Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference Zihao Yu, Haoyang Li, Fangcheng Fu, Xupeng Miao, Bin Cui

ICML 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

ICML 2024 Disentangled Graph Self-Supervised Learning for Out-of-Distribution Generalization Haoyang Li, Xin Wang, Zeyang Zhang, Haibo Chen, Ziwei Zhang, Wenwu Zhu

AAAI 2024 Graph Invariant Learning with Subgraph Co-Mixup for Out-of-Distribution Generalization Tianrui Jia, Haoyang Li, Cheng Yang, Tao Tao, Chuan Shi

AAAI 2024 Multimodal Graph Neural Architecture Search Under Distribution Shifts Jie Cai, Xin Wang, Haoyang Li, Ziwei Zhang, Wenwu Zhu

ICLR 2023 AutoGT: Automated Graph Transformer Architecture Search Zizhao Zhang, Xin Wang, Chaoyu Guan, Ziwei Zhang, Haoyang Li, Wenwu Zhu

IJCAI 2023 Curriculum Graph Machine Learning: A Survey Haoyang Li, Xin Wang, Wenwu Zhu

NeurIPSW 2023 Graph Meets LLMs: Towards Large Graph Models Ziwei Zhang, Haoyang Li, Zeyang Zhang, Yijian Qin, Xin Wang, Wenwu Zhu

IJCAI 2023 Intent-Aware Recommendation via Disentangled Graph Contrastive Learning Yuling Wang, Xiao Wang, Xiangzhou Huang, Yanhua Yu, Haoyang Li, Mengdi Zhang, Zirui Guo, Wei Wu

AAAI 2023 RESDSQL: Decoupling Schema Linking and Skeleton Parsing for Text-to-SQL Haoyang Li, Jing Zhang, Cuiping Li, Hong Chen

NeurIPS 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

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

NeurIPS 2022 Learning Invariant Graph Representations for Out-of-Distribution Generalization Haoyang Li, Ziwei Zhang, Xin Wang, Wenwu Zhu

NeurIPS 2022 Revisiting Injective Attacks on Recommender Systems Haoyang Li, Shimin Di, Lei Chen

ICLRW 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

NeurIPS 2021 Disentangled Contrastive Learning on Graphs Haoyang Li, Xin Wang, Ziwei Zhang, Zehuan Yuan, Hang Li, Wenwu Zhu