Wen, Yonggang

13 publications

ICML 2024 Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases Ziyi Zhang, Sen Zhang, Yibing Zhan, Yong Luo, Yonggang Wen, Dacheng Tao

IJCAI 2024 Joint Input and Output Coordination for Class-Incremental Learning Shuai Wang, Yibing Zhan, Yong Luo, Han Hu, Wei Yu, Yonggang Wen, Dacheng Tao

AAAI 2023 FedABC: Targeting Fair Competition in Personalized Federated Learning Dui Wang, Li Shen, Yong Luo, Han Hu, Kehua Su, Yonggang Wen, Dacheng Tao

ICCV 2023 MAS: Towards Resource-Efficient Federated Multiple-Task Learning Weiming Zhuang, Yonggang Wen, Lingjuan Lyu, Shuai Zhang

ICLR 2022 Divergence-Aware Federated Self-Supervised Learning Weiming Zhuang, Yonggang Wen, Shuai Zhang

ICCV 2021 Collaborative Unsupervised Visual Representation Learning from Decentralized Data Weiming Zhuang, Xin Gan, Yonggang Wen, Shuai Zhang, Shuai Yi

CVPR 2021 Privacy-Preserving Collaborative Learning with Automatic Transformation Search Wei Gao, Shangwei Guo, Tianwei Zhang, Han Qiu, Yonggang Wen, Yang Liu

IJCAI 2018 Online Heterogeneous Transfer Metric Learning Yong Luo, Tongliang Liu, Yonggang Wen, Dacheng Tao

AAAI 2017 Cost-Sensitive Feature Selection via F-Measure Optimization Reduction Meng Liu, Chang Xu, Yong Luo, Chao Xu, Yonggang Wen, Dacheng Tao

IJCAI 2017 Exploiting High-Order Information in Heterogeneous Multi-Task Feature Learning Yong Luo, Dacheng Tao, Yonggang Wen

IJCAI 2017 General Heterogeneous Transfer Distance Metric Learning via Knowledge Fragments Transfer Yong Luo, Yonggang Wen, Tongliang Liu, Dacheng Tao

IJCAI 2016 On Combining Side Information and Unlabeled Data for Heterogeneous Multi-Task Metric Learning Yong Luo, Yonggang Wen, Dacheng Tao

AAAI 2015 Low-Rank Multi-View Learning in Matrix Completion for Multi-Label Image Classification Meng Liu, Yong Luo, Dacheng Tao, Chao Xu, Yonggang Wen