| 2025 | ICLR | Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning. | Linjiajie Fang, Ruoxue Liu, Jing Zhang, Wenjia Wang, Bingyi Jing |
| 2025 | ICLR | Exploring Learning Complexity for Efficient Downstream Dataset Pruning. | Wenyu Jiang, Zhenlong Liu, Zejian Xie, Songxin Zhang, Bingyi Jing, Hongxin Wei |
| 2025 | ICLR | Knowledge Distillation with Multi-granularity Mixture of Priors for Image Super-Resolution. | Simiao Li, Yun Zhang, Wei Li, Hanting Chen, Wenjia Wang, Bingyi Jing, Shaohui Lin, Jie Hu |
| 2025 | ICLR | AugKD: Ingenious Augmentations Empower Knowledge Distillation for Image Super-Resolution. | Yun Zhang, Wei Li, Simiao Li, Hanting Chen, Zhijun Tu, Bingyi Jing, Shaohui Lin, Jie Hu, Wenjia Wang |
| 2025 | ICLR | Fine-tuning can Help Detect Pretraining Data from Large Language Models. | Hengxiang Zhang, Songxin Zhang, Bingyi Jing, Hongxin Wei |
| 2025 | ICML | Parametric Scaling Law of Tuning Bias in Conformal Prediction. | Hao Zeng, Kangdao Liu, Bingyi Jing, Hongxin Wei |