Wang, Chuan

29 publications

NeurIPS 2025 A Closer Look at Graph Transformers: Cross-Aggregation and Beyond Jiaming Zhuo, Ziyi Ma, Yintong Lu, Yuwei Liu, Kun Fu, Di Jin, Chuan Wang, Wenning Wu, Zhen Wang, Xiaochun Cao, Liang Yang

ICLR 2025 DUALFormer: Dual Graph Transformer Jiaming Zhuo, Yuwei Liu, Yintong Lu, Ziyi Ma, Kun Fu, Chuan Wang, Yuanfang Guo, Zhen Wang, Xiaochun Cao, Liang Yang

ICML 2025 Disentangled Graph Spectral Domain Adaptation Liang Yang, Xin Chen, Jiaming Zhuo, Di Jin, Chuan Wang, Xiaochun Cao, Zhen Wang, Yuanfang Guo

ICML 2025 Do We Really Need Message Passing in Brain Network Modeling? Liang Yang, Yuwei Liu, Jiaming Zhuo, Di Jin, Chuan Wang, Zhen Wang, Xiaochun Cao

AAAI 2025 Graph Contrastive Learning with Joint Spectral Augmentation of Attribute and Topology Liang Yang, Zhenna Li, Jiaming Zhuo, Jing Liu, Ziyi Ma, Chuan Wang, Zhen Wang, Xiaochun Cao

AAAI 2025 STAMPsy: Towards SpatioTemporal-Aware Mixed-Type Dialogues for Psychological Counseling Jieyi Wang, Yue Huang, Zeming Liu, Dexuan Xu, Chuan Wang, Xiaoming Shi, Ruiyuan Guan, Hongxing Wang, Weihua Yue, Yu Huang

AAAI 2025 Semi-Supervised Clustering Framework for Fine-Grained Scene Graph Generation Jiarui Yang, Chuan Wang, Jun Zhang, Shuyi Wu, Jinjing Zhao, Zeming Liu, Liang Yang

IJCAI 2025 Universal Graph Self-Contrastive Learning Liang Yang, Yukun Cai, Hui Ning, Jiaming Zhuo, Di Jin, Ziyi Ma, Yuanfang Guo, Chuan Wang, Zhen Wang

AAAI 2024 Frequency Shuffling and Enhancement for Open Set Recognition Lijun Liu, Rui Wang, Yuan Wang, Lihua Jing, Chuan Wang

CVPR 2024 Improving Graph Contrastive Learning via Adaptive Positive Sampling Jiaming Zhuo, Feiyang Qin, Can Cui, Kun Fu, Bingxin Niu, Mengzhu Wang, Yuanfang Guo, Chuan Wang, Zhen Wang, Xiaochun Cao, Liang Yang

NeurIPS 2024 Unified Graph Augmentations for Generalized Contrastive Learning on Graphs Jiaming Zhuo, Yintong Lu, Hui Ning, Kun Fu, Bingxin Niu, Dongxiao He, Chuan Wang, Yuanfang Guo, Zhen Wang, Xiaochun Cao, Liang Yang

ICCV 2023 Enhanced Soft Label for Semi-Supervised Semantic Segmentation Jie Ma, Chuan Wang, Yang Liu, Liang Lin, Guanbin Li

IJCAI 2023 LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity Yuhan Chen, Yihong Luo, Jing Tang, Liang Yang, Siya Qiu, Chuan Wang, Xiaochun Cao

ICCV 2023 MEFLUT: Unsupervised 1d Lookup Tables for Multi-Exposure Image Fusion Ting Jiang, Chuan Wang, Xinpeng Li, Ru Li, Haoqiang Fan, Shuaicheng Liu

NeurIPS 2023 Self-Supervised Graph Neural Networks via Low-Rank Decomposition Liang Yang, Runjie Shi, Qiuliang Zhang, Bingxin Niu, Zhen Wang, Xiaochun Cao, Chuan Wang

NeurIPS 2022 OPEN: Orthogonal Propagation with Ego-Network Modeling Liang Yang, Lina Kang, Qiuliang Zhang, Mengzhe Li, Bingxin Niu, Dongxiao He, Zhen Wang, Chuan Wang, Xiaochun Cao, Yuanfang Guo

AAAI 2022 Self-Supervised Graph Neural Networks via Diverse and Interactive Message Passing Liang Yang, Cheng Chen, Weixun Li, Bingxin Niu, Junhua Gu, Chuan Wang, Dongxiao He, Yuanfang Guo, Xiaochun Cao

NeurIPS 2021 Diverse Message Passing for Attribute with Heterophily Liang Yang, Mengzhe Li, Liyang Liu, Bingxin Niu, Chuan Wang, Xiaochun Cao, Yuanfang Guo

IJCAI 2021 Heterogeneous Graph Information Bottleneck Liang Yang, Fan Wu, Zichen Zheng, Bingxin Niu, Junhua Gu, Chuan Wang, Xiaochun Cao, Yuanfang Guo

ICCV 2021 Motion Basis Learning for Unsupervised Deep Homography Estimation with Subspace Projection Nianjin Ye, Chuan Wang, Haoqiang Fan, Shuaicheng Liu

CVPR 2021 UPFlow: Upsampling Pyramid for Unsupervised Optical Flow Learning Kunming Luo, Chuan Wang, Shuaicheng Liu, Haoqiang Fan, Jue Wang, Jian Sun

AAAI 2021 Why Do Attributes Propagate in Graph Convolutional Neural Networks? Liang Yang, Chuan Wang, Junhua Gu, Xiaochun Cao, Bingxin Niu

ECCV 2020 Content-Aware Unsupervised Deep Homography Estimation Jirong Zhang, Chuan Wang, Shuaicheng Liu, Lanpeng Jia, Nianjin Ye, Jue Wang, Ji Zhou, Jian Sun

IJCAI 2020 JANE: Jointly Adversarial Network Embedding Liang Yang, Yuexue Wang, Junhua Gu, Chuan Wang, Xiaochun Cao, Yuanfang Guo

CVPRW 2019 Learning Raw Image Denoising with Bayer Pattern Unification and Bayer Preserving Augmentation Jiaming Liu, Chihao Wu, Yuzhi Wang, Qin Xu, Yuqian Zhou, Haibin Huang, Chuan Wang, Shaofan Cai, Yifan Ding, Haoqiang Fan, Jue Wang

CVPRW 2019 NTIRE 2019 Challenge on Real Image Denoising: Methods and Results Abdelrahman Abdelhamed, Radu Timofte, Michael S. Brown, Songhyun Yu, Bumjun Park, Jechang Jeong, Seung-Won Jung, Dong-Wook Kim, Jae Ryun Chung, Jiaming Liu, Yuzhi Wang, Chi-Hao Wu, Qin Xu, Chuan Wang, Shaofan Cai, Yifan Ding, Haoqiang Fan, Jue Wang, Kai Zhang, Wangmeng Zuo, Magauiya Zhussip, Dongwon Park, Shakarim Soltanayev, Se Young Chun, Zhiwei Xiong, Chang Chen, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Sung-Jea Ko, Dong-Pan Lim, Seung-Wook Kim, Seo-Won Ji, Sang-Won Lee, Wenyi Tang, Yuchen Fan, Yuqian Zhou, Ding Liu, Thomas S. Huang, Deyu Meng, Lei Zhang, Hongwei Yong, Yiyun Zhao, Pengliang Tang, Yue Lu, Raimondo Schettini, Simone Bianco, Simone Zini, Chi Li, Yang Wang, Zhiguo Cao

AAAI 2019 Video Inpainting by Jointly Learning Temporal Structure and Spatial Details Chuan Wang, Haibin Huang, Xiaoguang Han, Jue Wang

AAAI 2016 Look, Listen and Learn - A Multimodal LSTM for Speaker Identification Jimmy S. J. Ren, Yongtao Hu, Yu-Wing Tai, Chuan Wang, Li Xu, Wenxiu Sun, Qiong Yan

IJCAI 2016 Modularity Based Community Detection with Deep Learning Liang Yang, Xiaochun Cao, Dongxiao He, Chuan Wang, Xiao Wang, Weixiong Zhang