Jing, Bingyi

11 publications

ECML-PKDD 2025 Aggressive Exploration in Offline Reinforcement Learning for Better Recommendations Kexin Shi, Wenjia Wang, Bingyi Jing

ICLR 2025 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

ICLR 2025 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

ICLR 2025 Exploring Learning Complexity for Efficient Downstream Dataset Pruning Wenyu Jiang, Zhenlong Liu, Zejian Xie, Songxin Zhang, Bingyi Jing, Hongxin Wei

ICLR 2025 Fine-Tuning Can Help Detect Pretraining Data from Large Language Models Hengxiang Zhang, Songxin Zhang, Bingyi Jing, Hongxin Wei

NeurIPS 2025 ForceFM: Enhancing Protein-Ligand Predictions Through Force-Guided Flow Matching Huanlei Guo, Song Liu, Bingyi Jing

ICLR 2025 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

ICML 2025 Parametric Scaling Law of Tuning Bias in Conformal Prediction Hao Zeng, Kangdao Liu, Bingyi Jing, Hongxin Wei

MLOSS 2025 TorchCP: A Python Library for Conformal Prediction Jianguo Huang, Jianqing Song, Xuanning Zhou, Bingyi Jing, Hongxin Wei

NeurIPS 2023 Constrained Policy Optimization with Explicit Behavior Density for Offline Reinforcement Learning Jing Zhang, Chi Zhang, Wenjia Wang, Bingyi Jing

NeurIPSW 2023 DiffDock-Site: A Novel Paradigm for Enhanced Protein-Ligand Predictions Through Binding Site Identification Huanlei Guo, Song Liu, Mingdi Hu, Yilun Lou, Bingyi Jing