Xing, Xinyu

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

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

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

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

ICML 2021 Adversarial Policy Learning in Two-Player Competitive Games Wenbo Guo, Xian Wu, Sui Huang, Xinyu Xing

IJCAI 2021 BACKDOORL: Backdoor Attack Against Competitive Reinforcement Learning Lun Wang, Zaynah Javed, Xian Wu, Wenbo Guo, Xinyu Xing, Dawn Song

ICML 2021 DANCE: Enhancing Saliency Maps Using Decoys Yang Young Lu, Wenbo Guo, Xinyu Xing, William Stafford Noble

NeurIPS 2021 EDGE: Explaining Deep Reinforcement Learning Policies Wenbo Guo, Xian Wu, Usmann Khan, Xinyu Xing

ICML 2021 RNNRepair: Automatic RNN Repair via Model-Based Analysis Xiaofei Xie, Wenbo Guo, Lei Ma, Wei Le, Jian Wang, Lingjun Zhou, Yang Liu, Xinyu Xing

NeurIPS 2018 Explaining Deep Learning Models -- a Bayesian Non-Parametric Approach Wenbo Guo, Sui Huang, Yunzhe Tao, Xinyu Xing, Lin Lin