Ren, Shaolei

20 publications

TMLR 2026 MetaSeal: Defending Against Image Attribution Forgery Through Content-Dependent Cryptographic Watermarks Tong Zhou, Ruyi Ding, Gaowen Liu, Charles Fleming, Ramana Rao Kompella, Yunsi Fei, Xiaolin Xu, Shaolei Ren

NeurIPS 2025 Fairness-Regularized Online Optimization with Switching Costs Pengfei Li, Yuelin Han, Adam Wierman, Shaolei Ren

ICLRW 2025 ProDiF: Protecting Domain-Invariant Features to Secure Pre-Trained Models Against Extraction Tong Zhou, Shijin Duan, Gaowen Liu, Charles Fleming, Ramana Rao Kompella, Shaolei Ren, Xiaolin Xu

CPAL 2025 Towards Vector Optimization on Low-Dimensional Vector Symbolic Architecture Shijin Duan, Yejia Liu, Gaowen Liu, Ramana Rao Kompella, Shaolei Ren, Xiaolin Xu

ICLR 2024 ArchLock: Locking DNN Transferability at the Architecture Level with a Zero-Cost Binary Predictor Tong Zhou, Shaolei Ren, Xiaolin Xu

NeurIPS 2024 Bileve: Securing Text Provenance in Large Language Models Against Spoofing with Bi-Level Signature Tong Zhou, Xuandong Zhao, Xiaolin Xu, Shaolei Ren

ICML 2024 Building Socially-Equitable Public Models Yejia Liu, Jianyi Yang, Pengfei Li, Tongxin Li, Shaolei Ren

NeurIPS 2024 Online Budgeted Matching with General Bids Jianyi Yang, Pengfei Li, Adam Wierman, Shaolei Ren

NeurIPS 2024 Safe Exploitative Play with Untrusted Type Beliefs Tongxin Li, Tinashe Handina, Shaolei Ren, Adam Wierman

NeurIPS 2023 Anytime-Competitive Reinforcement Learning with Policy Prior Jianyi Yang, Pengfei Li, Tongxin Li, Adam Wierman, Shaolei Ren

NeurIPS 2023 Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions Tongxin Li, Yiheng Lin, Shaolei Ren, Adam Wierman

ICML 2023 Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees Pengfei Li, Jianyi Yang, Shaolei Ren

AAAI 2023 Learning-Assisted Algorithm Unrolling for Online Optimization with Budget Constraints Jianyi Yang, Shaolei Ren

ICML 2023 NNSplitter: An Active Defense Solution for DNN Model via Automated Weight Obfuscation Tong Zhou, Yukui Luo, Shaolei Ren, Xiaolin Xu

NeurIPS 2023 Robust Learning for Smoothed Online Convex Optimization with Feedback Delay Pengfei Li, Jianyi Yang, Adam Wierman, Shaolei Ren

ICML 2022 Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity Jianyi Yang, Shaolei Ren

NeurIPS 2022 Navigating Memory Construction by Global Pseudo-Task Simulation for Continual Learning Yejia Liu, Wang Zhu, Shaolei Ren

AAAI 2021 Contextual Bandits with Delayed Feedback and Semi-Supervised Learning (Student Abstract) Luting Yang, Jianyi Yang, Shaolei Ren

AAAI 2021 Robust Bandit Learning with Imperfect Context Jianyi Yang, Shaolei Ren

IJCAI 2020 Multi-Feedback Bandit Learning with Probabilistic Contexts Luting Yang, Jianyi Yang, Shaolei Ren