Xu, Xiaojun

13 publications

ICML 2025 BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning Han Zhong, Yutong Yin, Shenao Zhang, Xiaojun Xu, Yuanxin Liu, Yifei Zuo, Zhihan Liu, Boyi Liu, Sirui Zheng, Hongyi Guo, Liwei Wang, Mingyi Hong, Zhaoran Wang

ICLRW 2025 Learning to Watermark LLM-Generated Text via Reinforcement Learning Xiaojun Xu, Yuanshun Yao, Yang Liu

ICML 2025 Robust Multi-Bit Text Watermark with LLM-Based Paraphrasers Xiaojun Xu, Jinghan Jia, Yuanshun Yao, Yang Liu, Hang Li

ICLRW 2025 Robust Multi-Bit Text Watermark with LLM-Based Paraphrasers Xiaojun Xu, Jinghan Jia, Yuanshun Yao, Yang Liu, Hang Li

ICLR 2024 Effective and Efficient Federated Tree Learning on Hybrid Data Qinbin Li, Chulin Xie, Xiaojun Xu, Xiaoyuan Liu, Ce Zhang, Bo Li, Bingsheng He, Dawn Song

NeurIPS 2024 Large Language Model Unlearning Yuanshun Yao, Xiaojun Xu, YangLiu

NeurIPSW 2023 Large Language Model Unlearning Yuanshun Yao, Xiaojun Xu, Yang Liu

ICML 2022 Adversarially Robust Models May Not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization Xiaojun Xu, Jacky Y Zhang, Evelyn Ma, Hyun Ho Son, Sanmi Koyejo, Bo Li

NeurIPS 2022 LOT: Layer-Wise Orthogonal Training on Improving L2 Certified Robustness Xiaojun Xu, Linyi Li, Bo Li

ICLR 2022 On the Certified Robustness for Ensemble Models and Beyond Zhuolin Yang, Linyi Li, Xiaojun Xu, Bhavya Kailkhura, Tao Xie, Bo Li

AISTATS 2021 Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks Huichen Li, Linyi Li, Xiaojun Xu, Xiaolu Zhang, Shuang Yang, Bo Li

NeurIPS 2021 TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness Zhuolin Yang, Linyi Li, Xiaojun Xu, Shiliang Zuo, Qian Chen, Pan Zhou, Benjamin I. Rubinstein, Ce Zhang, Bo Li

AAAI 2018 A Neural Stochastic Volatility Model Rui Luo, Weinan Zhang, Xiaojun Xu, Jun Wang