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ORCIDYao-Xiang Ding 0001
Person information
- affiliation: Zhejiang University, State Key Lab of CAD & CG, China
- affiliation: Nanjing University, National Key Laboratory for Novel Software Technology, China
Other persons with the same name
- Yaoxiang Ding 0002 — Peking University, Speech and Hearing Research Center, Key Lab of Machine Perception, Beijing, China
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2020 – today
- 2024
[c9]Yu-Cheng He, Yao-Xiang Ding, Han-Jia Ye, Zhi-Hua Zhou:
Learning Only When It Matters: Cost-Aware Long-Tailed Classification. AAAI 2024: 12411-12420- [c8]Lanjihong Ma
, Zhen-Yu Zhang, Yao-Xiang Ding, Zhi-Hua Zhou:
Handling Varied Objectives by Online Decision Making. KDD 2024: 2130-2140 - [c7]Bohong Chen, Yumeng Li, Yao-Xiang Ding, Tianjia Shao, Kun Zhou:
Enabling Synergistic Full-Body Control in Prompt-Based Co-Speech Motion Generation. ACM Multimedia 2024: 6774-6783 - [i8]Yuting Tang, Xin-Qiang Cai, Yao-Xiang Ding, Qiyu Wu, Guoqing Liu, Masashi Sugiyama:
Reinforcement Learning from Bagged Reward: A Transformer-based Approach for Instance-Level Reward Redistribution. CoRR abs/2402.03771 (2024) - [i7]Bohong Chen, Yumeng Li, Yao-Xiang Ding, Tianjia Shao, Kun Zhou:
Enabling Synergistic Full-Body Control in Prompt-Based Co-Speech Motion Generation. CoRR abs/2410.00464 (2024) - 2023
- [c6]Xin-Qiang Cai, Yao-Xiang Ding, Zi-Xuan Chen, Yuan Jiang, Masashi Sugiyama, Zhi-Hua Zhou:
Seeing Differently, Acting Similarly: Heterogeneously Observable Imitation Learning. ICLR 2023 - [c5]Yi-Kai Zhang, Ting-Ji Huang, Yao-Xiang Ding, De-Chuan Zhan, Han-Jia Ye:
Model Spider: Learning to Rank Pre-Trained Models Efficiently. NeurIPS 2023 - [i6]Yi-Kai Zhang, Ting-Ji Huang, Yao-Xiang Ding, De-Chuan Zhan, Han-Jia Ye:
Model Spider: Learning to Rank Pre-Trained Models Efficiently. CoRR abs/2306.03900 (2023) - [i5]Yifei Peng, Yu Jin, Zhexu Luo, Yao-Xiang Ding, Wang-Zhou Dai, Zhong Ren, Kun Zhou:
Generating by Understanding: Neural Visual Generation with Logical Symbol Groundings. CoRR abs/2310.17451 (2023) - [i4]Yumeng Li, Yaoxiang Ding, Zhong Ren, Kun Zhou:
QPoser: Quantized Explicit Pose Prior Modeling for Controllable Pose Generation. CoRR abs/2312.01104 (2023) - 2022
- [c4]Yao-Xiang Ding, Xi-Zhu Wu, Kun Zhou, Zhi-Hua Zhou:
Pre-Trained Model Reusability Evaluation for Small-Data Transfer Learning. NeurIPS 2022 - 2021
- [c3]Xin-Qiang Cai, Yao-Xiang Ding, Yuan Jiang, Zhi-Hua Zhou:
Imitation Learning from Pixel-Level Demonstrations by HashReward. AAMAS 2021: 279-287 - [i3]Xin-Qiang Cai, Yao-Xiang Ding, Zi-Xuan Chen, Yuan Jiang, Masashi Sugiyama, Zhi-Hua Zhou:
Seeing Differently, Acting Similarly: Imitation Learning with Heterogeneous Observations. CoRR abs/2106.09256 (2021) - 2020
- [c2]Yao-Xiang Ding, Zhi-Hua Zhou:
Boosting-Based Reliable Model Reuse. ACML 2020: 145-160
2010 – 2019
- 2019
- [i2]Xin-Qiang Cai, Yao-Xiang Ding, Yuan Jiang, Zhi-Hua Zhou:
Expert-Level Atari Imitation Learning from Demonstrations Only. CoRR abs/1909.03773 (2019) - 2018
- [j1]Yao-Xiang Ding, Zhi-Hua Zhou:
Crowdsourcing with unsure option. Mach. Learn. 107(4): 749-766 (2018) - [c1]Yao-Xiang Ding, Zhi-Hua Zhou:
Preference Based Adaptation for Learning Objectives. NeurIPS 2018: 7839-7848 - 2016
- [i1]Yao-Xiang Ding, Zhi-Hua Zhou:
Crowdsourcing with Unsure Option. CoRR abs/1609.00292 (2016)
Coauthor Index
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