Yan, Hao

17 publications

ICLR 2026 Paradigm Shift of GNN Explainer from Label Space to Prototypical Representation Space Jun Yin, Senzhang Wang, Ziluowen Luo, Peng Huo, Hao Yan, Hao Miao, Chaozhuo Li, Shirui Pan, Chengqi Zhang

ICLR 2026 VisuRiddles: Fine-Grained Perception Is a Primary Bottleneck for Multimodal Large Language Models in Abstract Visual Reasoning Hao Yan, Xingchen Liu, Hao Wang, Zhenbiao Cao, Handong Zheng, Liang Yin, Xinxing Su, Zihao Chen, Jihao Wu, Minghui Liao, Chao Weng, Wei Chen, Yuliang Liu, Xiang Bai

IJCAI 2025 A Relaxed Symmetric Non-Negative Matrix Factorization Approach for Community Discovery (Extended Abstract) Zhigang Liu, Hao Yan, Yurong Zhong, Weiling Li

CVPR 2025 A Unified Framework for Heterogeneous Semi-Supervised Learning Marzi Heidari, Abdullah Alchihabi, Hao Yan, Yuhong Guo

AISTATS 2025 Improved Dependence on Coherence in Eigenvector and Eigenvalue Estimation Error Bounds Hao Yan, Keith Levin

NeurIPS 2024 Coherence-Free Entrywise Estimation of Eigenvectors in Low-Rank Signal-Plus-Noise Matrix Models Hao Yan, Keith Levin

CVPR 2024 DS-NeRV: Implicit Neural Video Representation with Decomposed Static and Dynamic Codes Hao Yan, Zhihui Ke, Xiaobo Zhou, Tie Qiu, Xidong Shi, Dadong Jiang

ECCV 2024 Local and Global Flatness for Federated Domain Generalization Hao Yan, Yuhong Guo

NeurIPS 2023 A Comprehensive Study on Text-Attributed Graphs: Benchmarking and Rethinking Hao Yan, Chaozhuo Li, Ruosong Long, Chao Yan, Jianan Zhao, Wenwen Zhuang, Jun Yin, Peiyan Zhang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Lichao Sun, Xing Xie, Senzhang Wang

ICMLW 2023 Context-Aware Self-Adaptation for Domain Generalization Hao Yan, Yuhong Guo

ECML-PKDD 2023 Hierarchical Graph Contrastive Learning Hao Yan, Senzhang Wang, Jun Yin, Chaozhuo Li, Junxing Zhu, Jianxin Wang

ICLR 2023 Learning on Large-Scale Text-Attributed Graphs via Variational Inference Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang

NeurIPS 2023 Train Once and Explain Everywhere: Pre-Training Interpretable Graph Neural Networks Jun Yin, Chaozhuo Li, Hao Yan, Jianxun Lian, Senzhang Wang

AAAI 2023 WSiP: Wave Superposition Inspired Pooling for Dynamic Interactions-Aware Trajectory Prediction Renzhi Wang, Senzhang Wang, Hao Yan, Xiang Wang

CVPRW 2022 RenderSR: A Lightweight Super-Resolution Model for Mobile Gaming Upscaling TingxingTim Dong, Hao Yan, Mayank Parasar, Raun Krisch

NeurIPSW 2021 Augmented Self-Labeling for Source-Free Unsupervised Domain Adaptation Hao Yan, Yuhong Guo, Chunsheng Yang

AAAI 2020 Tensor Completion for Weakly-Dependent Data on Graph for Metro Passenger Flow Prediction Ziyue Li, Nurettin Dorukhan Sergin, Hao Yan, Chen Zhang, Fugee Tsung