Wang, Can

38 publications

ICLRW 2025 A Single Global Merging Suffices: Recovering Centralized Learning Performance in Decentralized Learning Tongtian Zhu, Tianyu Zhang, Mingze Wang, Zhanpeng Zhou, Can Wang

AAAI 2025 Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution Shengjia Zhang, Jiawei Chen, Changdong Li, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen, Can Wang

TMLR 2025 Conditional Image Synthesis with Diffusion Models: A Survey Zheyuan Zhan, Defang Chen, Jian-Ping Mei, Zhenghe Zhao, Jiawei Chen, Chun Chen, Siwei Lyu, Can Wang

ICLR 2025 DICE: Data Influence Cascade in Decentralized Learning Tongtian Zhu, Wenhao Li, Can Wang, Fengxiang He

ICCV 2025 Knowledge Distillation with Refined Logits Wujie Sun, Defang Chen, Siwei Lyu, Genlang Chen, Chun Chen, Can Wang

TMLR 2025 Lie Symmetry Net: Preserving Conservation Laws in Modelling Financial Market Dynamics via Differential Equations Xuelian Jiang, Tongtian Zhu, Yingxiang Xu, Can Wang, Yeyu Zhang, Fengxiang He

IJCAI 2025 M2LLM: Multi-View Molecular Representation Learning with Large Language Models Jiaxin Ju, Yizhen Zheng, Huan Yee Koh, Can Wang, Shirui Pan

ICCV 2025 Recognizing Actions from Robotic View for Natural Human-Robot Interaction Ziyi Wang, Peiming Li, Hong Liu, Zhichao Deng, Can Wang, Jun Liu, Junsong Yuan, Mengyuan Liu

ICLRW 2025 Rethinking Decentralized Learning: Towards More Realistic Evaluations with a Metadata-Agnostic Approach Tianyu Zhang, Lu Li, Tongtian Zhu, Suyuchen Wang, Can Wang, Yong Chen

CVPR 2024 Fast ODE-Based Sampling for Diffusion Models in Around 5 Steps Zhenyu Zhou, Defang Chen, Can Wang, Chun Chen

ICML 2024 On the Trajectory Regularity of ODE-Based Diffusion Sampling Defang Chen, Zhenyu Zhou, Can Wang, Chunhua Shen, Siwei Lyu

NeurIPS 2024 PSL: Rethinking and Improving SoftMax Loss from Pairwise Perspective for Recommendation Weiqin Yang, Jiawei Chen, Xin Xin, Sheng Zhou, Binbin Hu, Yan Feng, Chun Chen, Can Wang

NeurIPS 2024 Simple and Fast Distillation of Diffusion Models Zhenyu Zhou, Defang Chen, Can Wang, Chun Chen, Siwei Lyu

ICCV 2023 AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Control Ruixiang Jiang, Can Wang, Jingbo Zhang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao

NeurIPS 2023 OpenGSL: A Comprehensive Benchmark for Graph Structure Learning Zhiyao Zhou, Sheng Zhou, Bochao Mao, Xuanyi Zhou, Jiawei Chen, Qiaoyu Tan, Daochen Zha, Yan Feng, Chun Chen, Can Wang

AAAI 2023 Robust Sequence Networked Submodular Maximization Qihao Shi, Bingyang Fu, Can Wang, Jiawei Chen, Sheng Zhou, Yan Feng, Chun Chen

CVPR 2022 CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields Can Wang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao

CVPR 2022 Knowledge Distillation with the Reused Teacher Classifier Defang Chen, Jian-Ping Mei, Hailin Zhang, Can Wang, Yan Feng, Chun Chen

ICLR 2022 Pseudo-Labeled Auto-Curriculum Learning for Semi-Supervised Keypoint Localization Can Wang, Sheng Jin, Yingda Guan, Wentao Liu, Chen Qian, Ping Luo, Wanli Ouyang

AAAI 2021 Cross-Layer Distillation with Semantic Calibration Defang Chen, Jian-Ping Mei, Yuan Zhang, Can Wang, Zhe Wang, Yan Feng, Chun Chen

ICCV 2021 Distilling Holistic Knowledge with Graph Neural Networks Sheng Zhou, Yucheng Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu

ICCV 2021 Human Pose Regression with Residual Log-Likelihood Estimation Jiefeng Li, Siyuan Bian, Ailing Zeng, Can Wang, Bo Pang, Wentao Liu, Cewu Lu

NeurIPS 2020 Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting Lei Bai, Lina Yao, Can Li, Xianzhi Wang, Can Wang

AAAI 2020 DGE: Deep Generative Network Embedding Based on Commonality and Individuality Sheng Zhou, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu, Jiawei Chen, Qihao Shi, Can Wang

AAAI 2020 Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Jingbang Chen, Yan Feng, Chun Chen

ECCV 2020 HMOR: Hierarchical Multi-Person Ordinal Relations for Monocular Multi-Person 3D Pose Estimation Can Wang, Jiefeng Li, Wentao Liu, Chen Qian, Cewu Lu

AAAI 2020 Online Knowledge Distillation with Diverse Peers Defang Chen, Jian-Ping Mei, Can Wang, Yan Feng, Chun Chen

ECCV 2020 Whole-Body Human Pose Estimation in the Wild Sheng Jin, Lumin Xu, Jin Xu, Can Wang, Wentao Liu, Chen Qian, Wanli Ouyang, Ping Luo

IJCAI 2018 A Comparative Study of Transactional and Semantic Approaches for Predicting Cascades on Twitter Yunwei Zhao, Can Wang, Chi-Hung Chi, Kwok-Yan Lam, Sen Wang

AAAI 2018 A Novel Embedding Method for News Diffusion Prediction Ruoran Liu, Qiudan Li, Can Wang, Lei Wang, Daniel Dajun Zeng

IJCAI 2018 ANRL: Attributed Network Representation Learning via Deep Neural Networks Zhen Zhang, Hongxia Yang, Jiajun Bu, Sheng Zhou, Pinggang Yu, Jianwei Zhang, Martin Ester, Can Wang

IJCAI 2018 Multi-Modality Sensor Data Classification with Selective Attention Xiang Zhang, Lina Yao, Chaoran Huang, Sen Wang, Mingkui Tan, Guodong Long, Can Wang

AAAI 2015 Coupled Interdependent Attribute Analysis on Mixed Data Can Wang, Chi-Hung Chi, Wei Zhou, Raymond K. Wong

IJCAI 2013 Coupled Attribute Analysis on Numerical Data Can Wang, Zhong She, Longbing Cao

AAAI 2012 CCE: A Coupled Framework of Clustering Ensembles Zhong She, Can Wang, Longbing Cao

AAAI 2012 Document Summarization Based on Data Reconstruction Zhanying He, Chun Chen, Jiajun Bu, Can Wang, Lijun Zhang, Deng Cai, Xiaofei He

AAAI 2010 G-Optimal Design with Laplacian Regularization Chun Chen, Zhengguang Chen, Jiajun Bu, Can Wang, Lijun Zhang, Cheng Zhang

AAAI 2010 Modeling Dynamic Multi-Topic Discussions in Online Forums Hao Wu, Jiajun Bu, Chun Chen, Can Wang, Guang Qiu, Lijun Zhang, Jianfeng Shen