| 2026 | PAKDD | 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, Hui Su, Kun Zhou |
| 2025 | AAAI | Enhancing Identity-Deformation Disentanglement in StyleGAN for One-Shot Face Video Re-Enactment. | Qing Chang, Yao-Xiang Ding, Kun Zhou |
| 2025 | KDD | Achieving Nearly-Optimal Regret and Sample Complexity in Dueling Bandits with Applications in Online Recommendations. | Lanjihong Ma, Yao-Xiang Ding, Zhen-Yu Zhang, Zhi-Hua Zhou |
| 2025 | KDD | Generating by Understanding: Neural Visual Generation with Logical Symbol Groundings. | Yifei Peng, Zijie Zha, Yu Jin, Zhexu Luo, Wang-Zhou Dai, Zhong Ren, Yao-Xiang Ding, Kun Zhou |
| 2025 | SIGGRAPH | Motion-example-controlled Co-speech Gesture Generation Leveraging Large Language Models. | Bohong Chen, Yumeng Li, Youyi Zheng, Yao-Xiang Ding, Kun Zhou |
| 2024 | AAAI | Learning Only When It Matters: Cost-Aware Long-Tailed Classification. | Yu-Cheng He, Yao-Xiang Ding, Han-Jia Ye, Zhi-Hua Zhou |
| 2024 | KDD | Handling Varied Objectives by Online Decision Making. | Lanjihong Ma, Zhen-Yu Zhang, Yao-Xiang Ding, Zhi-Hua Zhou |
| 2023 | ICLR | Seeing Differently, Acting Similarly: Heterogeneously Observable Imitation Learning. | Xin-Qiang Cai, Yao-Xiang Ding, Zi-Xuan Chen, Yuan Jiang, Masashi Sugiyama, Zhi-Hua Zhou |
| 2020 | ACML | Boosting-Based Reliable Model Reuse. | Yao-Xiang Ding, Zhi-Hua Zhou |