Preference Based Adaptation for Learning Objectives. - Yao-Xiang Ding 001; Zhi-Hua Zhou (NeurIPS, 2018)

Crowdsourcing with unsure option. - Yao-Xiang Ding 001; Zhi-Hua Zhou (Mach. Learn., 2018)

Expert-Level Atari Imitation Learning from Demonstrations Only. - Xin-Qiang Cai; Yao-Xiang Ding 001; Yuan Jiang 001; Zhi-Hua Zhou (CoRR, 2019)

Boosting-Based Reliable Model Reuse. - Yao-Xiang Ding 001; Zhi-Hua Zhou (ACML, 2020)

Imitation Learning from Pixel-Level Demonstrations by HashReward. - Xin-Qiang Cai; Yao-Xiang Ding 001; Yuan Jiang 001; Zhi-Hua Zhou (AAMAS, 2021)

Seeing Differently, Acting Similarly: Imitation Learning with Heterogeneous Observations. - Xin-Qiang Cai; Yao-Xiang Ding 001; Zi-Xuan Chen; Yuan Jiang 001; Masashi Sugiyama; Zhi-Hua Zhou (CoRR, 2021)

Pre-Trained Model Reusability Evaluation for Small-Data Transfer Learning. - Yao-Xiang Ding 001; Xi-Zhu Wu; Kun Zhou 001; Zhi-Hua Zhou (NeurIPS, 2022)

Seeing Differently, Acting Similarly: Heterogeneously Observable Imitation Learning. - Xin-Qiang Cai; Yao-Xiang Ding 001; Zi-Xuan Chen; Yuan Jiang 001; Masashi Sugiyama; Zhi-Hua Zhou (ICLR, 2023)

Model Spider: Learning to Rank Pre-Trained Models Efficiently. - Yi-Kai Zhang; Ting-Ji Huang; Yao-Xiang Ding 001; De-Chuan Zhan; Han-Jia Ye (NeurIPS, 2023)

Generating by Understanding: Neural Visual Generation with Logical Symbol Groundings. - Yifei Peng; Yu Jin; Zhexu Luo; Yao-Xiang Ding 001; Wang-Zhou Dai; Zhong Ren 001; Kun Zhou 001 (CoRR, 2023)

QPoser: Quantized Explicit Pose Prior Modeling for Controllable Pose Generation. - Yumeng Li; Yaoxiang Ding 001; Zhong Ren 001; Kun Zhou 001 (CoRR, 2023)

Learning Only When It Matters: Cost-Aware Long-Tailed Classification. - Yu-Cheng He; Yao-Xiang Ding 001; Han-Jia Ye; Zhi-Hua Zhou (AAAI, 2024)

Handling Varied Objectives by Online Decision Making. - Lanjihong Ma; Zhen-Yu Zhang; Yao-Xiang Ding 001; Zhi-Hua Zhou (KDD, 2024)

Enabling Synergistic Full-Body Control in Prompt-Based Co-Speech Motion Generation. - Bohong Chen 004; Yumeng Li; Yao-Xiang Ding 001; Tianjia Shao; Kun Zhou 001 (ACM Multimedia, 2024)

Reinforcement Learning from Bagged Reward: A Transformer-based Approach for Instance-Level Reward Redistribution. - Yuting Tang; Xin-Qiang Cai; Yao-Xiang Ding 001; Qiyu Wu 001; Guoqing Liu; Masashi Sugiyama (CoRR, 2024)

Beyond Simple Sum of Delayed Rewards: Non-Markovian Reward Modeling for Reinforcement Learning. - Yuting Tang; Xin-Qiang Cai; Jing-Cheng Pang; Qiyu Wu 001; Yao-Xiang Ding 001; Masashi Sugiyama (CoRR, 2024)

Enhancing Visual Reasoning with Autonomous Imagination in Multimodal Large Language Models. - Jingming Liu; Yumeng Li; Boyuan Xiao; Yichang Jian; Ziang Qin; Tianjia Shao; Yao-Xiang Ding 001; Kun Zhou 001 (CoRR, 2024)

CPoser: An Optimization-after-Parsing Approach for Text-to-Pose Generation Using Large Language Models. - Yumeng Li; Bohong Chen 004; Zhong Ren 001; Yao-Xiang Ding 001; Libin Liu 002; Tianjia Shao; Kun Zhou 001 (ACM Trans. Graph., 2024)

Enhancing Identity-Deformation Disentanglement in StyleGAN for One-Shot Face Video Re-Enactment. - Qing Chang; Yao-Xiang Ding 001; Kun Zhou 001 (AAAI, 2025)

Achieving Nearly-Optimal Regret and Sample Complexity in Dueling Bandits with Applications in Online Recommendations. - Lanjihong Ma; Yao-Xiang Ding 001; Zhen-Yu Zhang; Zhi-Hua Zhou (KDD (1), 2025)

Reinforcement Learning from Bagged Reward. - Yuting Tang; Xin-Qiang Cai; Yao-Xiang Ding 001; Qiyu Wu 001; Guoqing Liu; Masashi Sugiyama (Trans. Mach. Learn. Res., 2025)

Pre-Training Meta-Rule Selection Policy for Visual Generative Abductive Learning. - Yu Jin; Jingming Liu; Zhexu Luo; Yifei Peng; Ziang Qin; Wang-Zhou Dai; Yao-Xiang Ding 001; Kun Zhou 001 (CoRR, 2025)

Harnessing the Power of Reinforcement Learning for Language-Model-Based Information Retriever via Query-Document Co-Augmentation. - Jingming Liu; Yumeng Li; Wei Shi; Yao-Xiang Ding 001; Hui Su; Kun Zhou 001 (CoRR, 2025)

Motion-example-controlled Co-speech Gesture Generation Leveraging Large Language Models. - Bohong Chen 004; Yumeng Li; Youyi Zheng; Yao-Xiang Ding 001; Kun Zhou 001 (CoRR, 2025)

Learning Objective Adaptation by Correlation-Based Model Reuse. - Lanjihong Ma; Yao-Xiang Ding 001; Peng Zhao 006; Zhi-Hua Zhou (IEEE Trans. Neural Networks Learn. Syst., 2025)