Yao-Xiang Ding

35 papers A* 8A 1C 1Journal 21Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
OrigamiBench: An Interactive Environment to Synthesize Flat-Foldable Origamis.
CoRR
Naaisha Agarwal, Yihan Wu, Yichang Jian, Yikuan Hu, Nishad Mansoor, Mohan Li, Yifei Peng, Wang-Zhou Dai, Yao-Xiang Ding, Emanuele Sansone
2025 J jnl
Abductive Logical Rule Induction by Bridging Inductive Logic Programming and Multimodal Large Language Models.
CoRR
Yifei Peng, Yaoli Liu, Enbo Xia, Yu Jin, Wang-Zhou Dai, Zhong Ren, Yao-Xiang Ding, Kun Zhou
2025 — conf
Achieving Nearly-Optimal Regret and Sample Complexity in Dueling Bandits with Applications in Online Recommendations.
KDD (1)
Lanjihong Ma, Yao-Xiang Ding, Zhen-Yu Zhang, Zhi-Hua Zhou
2025 J jnl
Appearance as reliable evidence: Reconciling appearance and generative priors for monocular motion estimation.
Comput. Graph.
Zipei Chen, Yumeng Li, Zhong Ren, Yao-Xiang Ding, Kun Zhou
2025 J jnl
Autonomous Imagination: Closed-Loop Decomposition of Visual-to-Textual Conversion in Visual Reasoning for Multimodal Large Language Models.
Trans. Mach. Learn. Res.
Jingming Liu, Yumeng Li, Boyuan Xiao, Yichang Jian, Ziang Qin, Tianjia Shao, Yao-Xiang Ding, Kun Zhou
2025 A* conf
Enhancing Identity-Deformation Disentanglement in StyleGAN for One-Shot Face Video Re-Enactment.
AAAI
Qing Chang, Yao-Xiang Ding, Kun Zhou
2025 J jnl
FreeFuse: Multi-Subject LoRA Fusion via Auto Masking at Test Time.
CoRR
Yaoli Liu, Yao-Xiang Ding, Kun Zhou
2025 — conf
Generating by Understanding: Neural Visual Generation with Logical Symbol Groundings.
KDD (2)
Yifei Peng, Zijie Zha, Yu Jin, Zhexu Luo, Wang-Zhou Dai, Zhong Ren, Yao-Xiang Ding, Kun Zhou
2025 J jnl
Harnessing the Power of Reinforcement Learning for Language-Model-Based Information Retriever via Query-Document Co-Augmentation.
CoRR
Jingming Liu, Yumeng Li, Wei Shi, Yao-Xiang Ding, Hui Su, Kun Zhou
2025 J jnl
Learning Objective Adaptation by Correlation-Based Model Reuse.
IEEE Trans. Neural Networks Learn. Syst.
Lanjihong Ma, Yao-Xiang Ding, Peng Zhao, Zhi-Hua Zhou
2025 — conf
Motion-example-controlled Co-speech Gesture Generation Leveraging Large Language Models.
SIGGRAPH (Conference Paper Track)
Bohong Chen, Yumeng Li, Youyi Zheng, Yao-Xiang Ding, Kun Zhou
2025 J jnl
Motion-example-controlled Co-speech Gesture Generation Leveraging Large Language Models.
CoRR
Bohong Chen, Yumeng Li, Youyi Zheng, Yao-Xiang Ding, Kun Zhou
2025 J jnl
Pre-Training Meta-Rule Selection Policy for Visual Generative Abductive Learning.
CoRR
Yu Jin, Jingming Liu, Zhexu Luo, Yifei Peng, Ziang Qin, Wang-Zhou Dai, Yao-Xiang Ding, Kun Zhou
2025 J jnl
Reinforcement Learning from Bagged Reward.
Trans. Mach. Learn. Res.
Yuting Tang, Xin-Qiang Cai, Yao-Xiang Ding, Qiyu Wu, Guoqing Liu, Masashi Sugiyama
2024 J jnl
Beyond Simple Sum of Delayed Rewards: Non-Markovian Reward Modeling for Reinforcement Learning.
CoRR
Yuting Tang, Xin-Qiang Cai, Jing-Cheng Pang, Qiyu Wu, Yao-Xiang Ding, Masashi Sugiyama
2024 J jnl
CPoser: An Optimization-after-Parsing Approach for Text-to-Pose Generation Using Large Language Models.
ACM Trans. Graph.
Yumeng Li, Bohong Chen, Zhong Ren, Yao-Xiang Ding, Libin Liu, Tianjia Shao, Kun Zhou
2024 A* conf
Enabling Synergistic Full-Body Control in Prompt-Based Co-Speech Motion Generation.
ACM Multimedia
Bohong Chen, Yumeng Li, Yao-Xiang Ding, Tianjia Shao, Kun Zhou
2024 J jnl
Enabling Synergistic Full-Body Control in Prompt-Based Co-Speech Motion Generation.
CoRR
Bohong Chen, Yumeng Li, Yao-Xiang Ding, Tianjia Shao, Kun Zhou
2024 J jnl
Enhancing Visual Reasoning with Autonomous Imagination in Multimodal Large Language Models.
CoRR
Jingming Liu, Yumeng Li, Boyuan Xiao, Yichang Jian, Ziang Qin, Tianjia Shao, Yao-Xiang Ding, Kun Zhou
2024 A* conf
Handling Varied Objectives by Online Decision Making.
KDD
Lanjihong Ma, Zhen-Yu Zhang, Yao-Xiang Ding, Zhi-Hua Zhou
2024 A* conf
Learning Only When It Matters: Cost-Aware Long-Tailed Classification.
AAAI
Yu-Cheng He, Yao-Xiang Ding, Han-Jia Ye, Zhi-Hua Zhou
2024 — conf
Pre-Training Meta-Rule Selection Policy for Visual Generative Abductive Learning.
IJCLR
Yu Jin, Jingming Liu, Zhexu Luo, Yifei Peng, Ziang Qin, Wang-Zhou Dai, Yao-Xiang Ding, Kun Zhou
2024 J jnl
Reinforcement Learning from Bagged Reward: A Transformer-based Approach for Instance-Level Reward Redistribution.
CoRR
Yuting Tang, Xin-Qiang Cai, Yao-Xiang Ding, Qiyu Wu, Guoqing Liu, Masashi Sugiyama
2023 J jnl
Generating by Understanding: Neural Visual Generation with Logical Symbol Groundings.
CoRR
Yifei Peng, Yu Jin, Zhexu Luo, Yao-Xiang Ding, Wang-Zhou Dai, Zhong Ren, Kun Zhou
2023 A* conf
Model Spider: Learning to Rank Pre-Trained Models Efficiently.
NeurIPS
Yi-Kai Zhang, Ting-Ji Huang, Yao-Xiang Ding, De-Chuan Zhan, Han-Jia Ye
2023 J jnl
Model Spider: Learning to Rank Pre-Trained Models Efficiently.
CoRR
Yi-Kai Zhang, Ting-Ji Huang, Yao-Xiang Ding, De-Chuan Zhan, Han-Jia Ye
2023 A* conf
Seeing Differently, Acting Similarly: Heterogeneously Observable Imitation Learning.
ICLR
Xin-Qiang Cai, Yao-Xiang Ding, Zi-Xuan Chen, Yuan Jiang, Masashi Sugiyama, Zhi-Hua Zhou
2022 A* conf
Pre-Trained Model Reusability Evaluation for Small-Data Transfer Learning.
NeurIPS
Yao-Xiang Ding, Xi-Zhu Wu, Kun Zhou, Zhi-Hua Zhou
2021 A conf
Imitation Learning from Pixel-Level Demonstrations by HashReward.
AAMAS
Xin-Qiang Cai, Yao-Xiang Ding, Yuan Jiang, Zhi-Hua Zhou
2021 J jnl
Seeing Differently, Acting Similarly: Imitation Learning with Heterogeneous Observations.
CoRR
Xin-Qiang Cai, Yao-Xiang Ding, Zi-Xuan Chen, Yuan Jiang, Masashi Sugiyama, Zhi-Hua Zhou
2020 C conf
Boosting-Based Reliable Model Reuse.
ACML
Yao-Xiang Ding, Zhi-Hua Zhou
2019 J jnl
Expert-Level Atari Imitation Learning from Demonstrations Only.
CoRR
Xin-Qiang Cai, Yao-Xiang Ding, Yuan Jiang, Zhi-Hua Zhou
2018 J jnl
Crowdsourcing with unsure option.
Mach. Learn.
Yao-Xiang Ding, Zhi-Hua Zhou
2018 A* conf
Preference Based Adaptation for Learning Objectives.
NeurIPS
Yao-Xiang Ding, Zhi-Hua Zhou
2016 J jnl
Crowdsourcing with Unsure Option.
CoRR
Yao-Xiang Ding, Zhi-Hua Zhou