Zhou, Tong

17 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
ICLR 2025 CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models Song Wang, Peng Wang, Tong Zhou, Yushun Dong, Zhen Tan, Jundong Li
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
NeurIPS 2025 RULE: Reinforcement UnLEarning Achieves Forget-Retain Pareto Optimality Chenlong Zhang, Zhuoran Jin, Hongbang Yuan, Jiaheng Wei, Tong Zhou, Kang Liu, Jun Zhao, Yubo Chen
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
NeurIPSW 2024 CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models Song Wang, Peng Wang, Tong Zhou, Yushun Dong, Zhen Tan, Jundong Li
CVPR 2024 MAPLM: A Real-World Large-Scale Vision-Language Benchmark for mAP and Traffic Scene Understanding Xu Cao, Tong Zhou, Yunsheng Ma, Wenqian Ye, Can Cui, Kun Tang, Zhipeng Cao, Kaizhao Liang, Ziran Wang, James M. Rehg, Chao Zheng
IJCAI 2024 Oasis: Data Curation and Assessment System for Pretraining of Large Language Models Tong Zhou, Yubo Chen, Pengfei Cao, Kang Liu, Shengping Liu, Jun Zhao
NeurIPSW 2024 On Demonstration Selection for Improving Fairness in Language Models Song Wang, Peng Wang, Yushun Dong, Tong Zhou, Lu Cheng, Yangfeng Ji, Jundong Li
ICCV 2023 AutoReP: Automatic ReLU Replacement for Fast Private Network Inference Hongwu Peng, Shaoyi Huang, Tong Zhou, Yukui Luo, Chenghong Wang, Zigeng Wang, Jiahui Zhao, Xi Xie, Ang Li, Tony Geng, Kaleel Mahmood, Wujie Wen, Xiaolin Xu, Caiwen Ding
AAAI 2023 Flexible 3D Lane Detection by Hierarchical Shape Matching Zhihao Guan, Ruixin Liu, Zejian Yuan, Ao Liu, Kun Tang, Tong Zhou, Erlong Li, Chao Zheng, Shuqi Mei
WACV 2023 Learning to Detect 3D Lanes by Shape Matching and Embedding Ruixin Liu, Zhihao Guan, Zejian Yuan, Ao Liu, Tong Zhou, Tang Kun, Erlong Li, Chao Zheng, Shuqi Mei
NeurIPS 2023 LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios Yazhe Niu, Yuan Pu, Zhenjie Yang, Xueyan Li, Tong Zhou, Jiyuan Ren, Shuai Hu, Hongsheng Li, Yu Liu
ICML 2023 NNSplitter: An Active Defense Solution for DNN Model via Automated Weight Obfuscation Tong Zhou, Yukui Luo, Shaolei Ren, Xiaolin Xu
AAAI 2023 THMA: Tencent HD mAP AI System for Creating HD mAP Annotations Kun Tang, Xu Cao, Zhipeng Cao, Tong Zhou, Erlong Li, Ao Liu, Shengtao Zou, Chang Liu, Shuqi Mei, Elena Sizikova, Chao Zheng
AAAI 2022 Deep Amortized Relational Model with Group-Wise Hierarchical Generative Process Huafeng Liu, Tong Zhou, Jiaqi Wang