Yao-Xiang Ding

According to our database, Yao-Xiang Ding authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

CPoser: An Optimization-after-Parsing Approach for Text-to-Pose Generation Using Large Language Models.

Yumeng Li, Bohong Chen, Zhong Ren, Yao-Xiang Ding, Libin Liu, Tianjia Shao, Kun Zhou

ACM Trans. Graph., December, 2024

Beyond Simple Sum of Delayed Rewards: Non-Markovian Reward Modeling for Reinforcement Learning.

Yuting Tang, Xin-Qiang Cai, Jing-Cheng Pang, Qiyu Wu, Yao-Xiang Ding, Masashi Sugiyama

CoRR, 2024

Reinforcement Learning from Bagged Reward: A Transformer-based Approach for Instance-Level Reward Redistribution.

Yuting Tang, Xin-Qiang Cai, Yao-Xiang Ding, Qiyu Wu, Guoqing Liu, Masashi Sugiyama

CoRR, 2024

Enabling Synergistic Full-Body Control in Prompt-Based Co-Speech Motion Generation.

Bohong Chen, Yumeng Li, Yao-Xiang Ding, Tianjia Shao, Kun Zhou

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Handling Varied Objectives by Online Decision Making.

Lanjihong Ma, Zhen-Yu Zhang, Yao-Xiang Ding, Zhi-Hua Zhou

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Learning Only When It Matters: Cost-Aware Long-Tailed Classification.

Yu-Cheng He, Yao-Xiang Ding, Han-Jia Ye, Zhi-Hua Zhou

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

QPoser: Quantized Explicit Pose Prior Modeling for Controllable Pose Generation.

Yumeng Li, Yaoxiang Ding, Zhong Ren, Kun Zhou

CoRR, 2023

Generating by Understanding: Neural Visual Generation with Logical Symbol Groundings.

Yifei Peng, Yu Jin, Zhexu Luo, Yao-Xiang Ding, Wang-Zhou Dai, Zhong Ren, Kun Zhou

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Seeing Differently, Acting Similarly: Heterogeneously Observable Imitation Learning.

Xin-Qiang Cai, Yao-Xiang Ding, Zi-Xuan Chen, Yuan Jiang, Masashi Sugiyama, Zhi-Hua Zhou

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Pre-Trained Model Reusability Evaluation for Small-Data Transfer Learning.

Yao-Xiang Ding, Xi-Zhu Wu, Kun Zhou, Zhi-Hua Zhou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Seeing Differently, Acting Similarly: Imitation Learning with Heterogeneous Observations.

Xin-Qiang Cai, Yao-Xiang Ding, Zi-Xuan Chen, Yuan Jiang, Masashi Sugiyama, Zhi-Hua Zhou

CoRR, 2021

Imitation Learning from Pixel-Level Demonstrations by HashReward.

Xin-Qiang Cai, Yao-Xiang Ding, Yuan Jiang, Zhi-Hua Zhou

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Boosting-Based Reliable Model Reuse.

Yao-Xiang Ding, Zhi-Hua Zhou

Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019

Expert-Level Atari Imitation Learning from Demonstrations Only.

Xin-Qiang Cai, Yao-Xiang Ding, Yuan Jiang, Zhi-Hua Zhou

CoRR, 2019

2018

Crowdsourcing with unsure option.

Yao-Xiang Ding, Zhi-Hua Zhou

Mach. Learn., 2018

Preference Based Adaptation for Learning Objectives.

Yao-Xiang Ding, Zhi-Hua Zhou

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018