Yu, Jiahao

12 publications

NeurIPS 2025 BlockScan: Detecting Anomalies in Blockchain Transactions Jiahao Yu, Xian Wu, Hao Liu, Wenbo Guo, Xinyu Xing

NeurIPS 2025 GPO: Learning from Critical Steps to Improve LLM Reasoning Jiahao Yu, Zelei Cheng, Xian Wu, Xinyu Xing

NeurIPS 2025 Missing Data Imputation by Reducing Mutual Information with Rectified Flows Jiahao Yu, Qizhen Ying, Leyang Wang, Ziyue Jiang, Song Liu

ICML 2025 The Illusion of Role Separation: Hidden Shortcuts in LLM Role Learning (and How to Fix Them) Zihao Wang, Yibo Jiang, Jiahao Yu, Heqing Huang

NeurIPS 2025 TranSUN: A Preemptive Paradigm to Eradicate Retransformation Bias Intrinsically from Regression Models in Recommender Systems Jiahao Yu, Haozhuang Liu, Yeqiu Yang, Lu Chen, Wu Jian, Yuning Jiang, Bo Zheng

ICLRW 2024 Assessing Prompt Injection Risks in 200+ Custom GPTs Jiahao Yu, Yuhang Wu, Dong Shu, Mingyu Jin, Sabrina Yang, Xinyu Xing

ICML 2024 Minimizing $f$-Divergences by Interpolating Velocity Fields Song Liu, Jiahao Yu, Jack Simons, Mingxuan Yi, Mark Beaumont

ICML 2024 RICE: Breaking Through the Training Bottlenecks of Reinforcement Learning with Explanation Zelei Cheng, Xian Wu, Jiahao Yu, Sabrina Yang, Gang Wang, Xinyu Xing

NeurIPS 2024 Soft-Label Integration for Robust Toxicity Classification Zelei Cheng, Xian Wu, Jiahao Yu, Shuo Han, Xin-Qiang Cai, Xinyu Xing

ECCV 2024 T-CorresNet: Template Guided 3D Point Cloud Completion with Correspondence Pooling Query Generation Strategy Fan Duan, Jiahao Yu, Li Chen

NeurIPS 2023 StateMask: Explaining Deep Reinforcement Learning Through State Mask Zelei Cheng, Xian Wu, Jiahao Yu, Wenhai Sun, Wenbo Guo, Xinyu Xing

CVPR 2022 SoftCollage: A Differentiable Probabilistic Tree Generator for Image Collage Jiahao Yu, Li Chen, Mingrui Zhang, Mading Li