Ding, Yao-Xiang

11 publications

TMLR 2025 Autonomous Imagination: Closed-Loop Decomposition of Visual-to-Textual Conversion in Visual Reasoning for Multimodal Large Language Models Jingming Liu, Yumeng Li, Boyuan Xiao, Yichang Jian, Ziang Qin, Tianjia Shao, Yao-Xiang Ding, Kun Zhou

AAAI 2025 Enhancing Identity-Deformation Disentanglement in StyleGAN for One-Shot Face Video Re-Enactment Qing Chang, Yao-Xiang Ding, Kun Zhou

TMLR 2025 Reinforcement Learning from Bagged Reward Yuting Tang, Xin-Qiang Cai, Yao-Xiang Ding, Qiyu Wu, Guoqing Liu, Masashi Sugiyama

AAAI 2024 Learning Only When It Matters: Cost-Aware Long-Tailed Classification Yu-Cheng He, Yao-Xiang Ding, Han-Jia Ye, Zhi-Hua Zhou

ICMLW 2024 Reinforcement Learning from Bagged Reward Yuting Tang, Xin-Qiang Cai, Yao-Xiang Ding, Qiyu Wu, Guoqing Liu, Masashi Sugiyama

NeurIPS 2023 Model Spider: Learning to Rank Pre-Trained Models Efficiently Yi-Kai Zhang, Ting-Ji Huang, Yao-Xiang Ding, De-Chuan Zhan, Han-Jia Ye

ICLR 2023 Seeing Differently, Acting Similarly: Heterogeneously Observable Imitation Learning Xin-Qiang Cai, Yao-Xiang Ding, Zixuan Chen, Yuan Jiang, Masashi Sugiyama, Zhi-Hua Zhou

NeurIPS 2022 Pre-Trained Model Reusability Evaluation for Small-Data Transfer Learning Yao-Xiang Ding, Xi-Zhu Wu, Kun Zhou, Zhi-Hua Zhou

ACML 2020 Boosting-Based Reliable Model Reuse Yao-Xiang Ding, Zhi-Hua Zhou

MLJ 2018 Crowdsourcing with Unsure Option Yao-Xiang Ding, Zhi-Hua Zhou

NeurIPS 2018 Preference Based Adaptation for Learning Objectives Yao-Xiang Ding, Zhi-Hua Zhou