| 2025 | ACL | Improved Unbiased Watermark for Large Language Models. | Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang |
| 2025 | ACL | Asymmetric Conflict and Synergy in Post-training for LLM-based Multilingual Machine Translation. | Tong Zheng, Yan Wen, Huiwen Bao, Junfeng Guo, Heng Huang |
| 2025 | CIKM | Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing. | Dongliang Guo, Mengxuan Hu, Zihan Guan, Junfeng Guo, Thomas Hartvigsen, Sheng Li |
| 2025 | CVPR | SleeperMark: Towards Robust Watermark against Fine-Tuning Text-to-image Diffusion Models. | Zilan Wang, Junfeng Guo, Jiacheng Zhu, Yiming Li, Heng Huang, Muhao Chen, Zhengzhong Tu |
| 2025 | EMNLP | Web Intellectual Property at Risk: Preventing Unauthorized Real-Time Retrieval by Large Language Models. | Yisheng Zhong, Yizhu Wen, Junfeng Guo, Mehran Kafai, Heng Huang, Hanqing Guo, Zhuangdi Zhu |
| 2025 | ICCV | Federated Continuous Category Discovery and Learning. | Lixu Wang, Chenxi Liu, Junfeng Guo, Qingqing Ye, Heng Huang, Haibo Hu, Wei Dong |
| 2025 | ICLR | A Watermark for Order-Agnostic Language Models. | Ruibo Chen, Yihan Wu, Yanshuo Chen, Chenxi Liu, Junfeng Guo, Heng Huang |
| 2025 | ICLR | Mind Control through Causal Inference: Predicting Clean Images from Poisoned Data. | Mengxuan Hu, Zihan Guan, Yi Zeng, Junfeng Guo, Zhongliang Zhou, Jielu Zhang, Ruoxi Jia, Anil Kumar S. Vullikanti, Sheng Li |
| 2025 | ICML | De-mark: Watermark Removal in Large Language Models. | Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang |
| 2025 | Interspeech | A Watermark for Auto-Regressive Speech Generation Models. | Yihan Wu, Ruibo Chen, Georgios Milis, Junfeng Guo, Heng Huang |
| 2025 | IROS | BEV-LIO(LC): BEV Image Assisted LiDAR-Inertial Odometry with Loop Closure. | Haoxin Cai, Shenghai Yuan, Xinyi Li, Junfeng Guo, Jianqi Liu |
| 2024 | ACL | Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection. | Ruibo Chen, Yihan Wu, Lichang Chen, Guodong Liu, Qi He, Tianyi Xiong, Chenxi Liu, Junfeng Guo, Heng Huang |
| 2024 | ECCV | Few-Shot Class Incremental Learning with Attention-Aware Self-adaptive Prompt. | Chenxi Liu, Zhenyi Wang, Tianyi Xiong, Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang |
| 2024 | ECCV | Training A Secure Model Against Data-Free Model Extraction. | Zhenyi Wang, Li Shen, Junfeng Guo, Tiehang Duan, Siyu Luan, Tongliang Liu, Mingchen Gao |
| 2024 | ICML | A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models. | Yihan Wu, Zhengmian Hu, Junfeng Guo, Hongyang Zhang, Heng Huang |
| 2023 | CVPR | Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition. | Zexin Li, Bangjie Yin, Taiping Yao, Junfeng Guo, Shouhong Ding, Simin Chen, Cong Liu |
| 2023 | ICCV | PolicyCleanse: Backdoor Detection and Mitigation for Competitive Reinforcement Learning. | Junfeng Guo, Ang Li, Lixu Wang, Cong Liu |
| 2023 | ICLR | SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency. | Junfeng Guo, Yiming Li, Xun Chen, Hanqing Guo, Lichao Sun, Cong Liu |
| 2023 | MOBICOM | MASTERKEY: Practical Backdoor Attack Against Speaker Verification Systems. | Hanqing Guo, Xun Chen, Junfeng Guo, Li Xiao, Qiben Yan |
| 2022 | CVPR | Neural Mean Discrepancy for Efficient Out-of-Distribution Detection. | Xin Dong, Junfeng Guo, Ang Li, Wei-Te Ting, Cong Liu, H. T. Kung |
| 2022 | ICLR | AEVA: Black-box Backdoor Detection Using Adversarial Extreme Value Analysis. | Junfeng Guo, Ang Li, Cong Liu |
| 2021 | IJCAI | Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition. | Bangjie Yin, Wenxuan Wang, Taiping Yao, Junfeng Guo, Zelun Kong, Shouhong Ding, Jilin Li, Cong Liu |
| 2020 | CVPR | PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving. | Zelun Kong, Junfeng Guo, Ang Li, Cong Liu |
| 2020 | ECCV | Practical Poisoning Attacks on Neural Networks. | Junfeng Guo, Cong Liu |
| 2020 | ICSE | DeepBillboard: systematic physical-world testing of autonomous driving systems. | Husheng Zhou, Wei Li, Zelun Kong, Junfeng Guo, Yuqun Zhang, Bei Yu, Lingming Zhang, Cong Liu |
| 2017 | GLOBECOM | Energy-Efficient Resource Allocation for Multi-User Mobile Edge Computing. | Junfeng Guo, Zhaozhe Song, Ying Cui, Zhi Liu, Yusheng Ji |
| 2001 | MICCAI | Integrated System for Objective Assessment of Global and Regional Lung Structure. | Joseph M. Reinhardt, Junfeng Guo, Li Zhang, D. Bilgen, Shiying Hu, R. Uppaluri, Ryan M. Long, O. I. Saba, Geoffrey McLennan, Milan Sonka, Eric A. Hoffman |
| 1999 | MICCAI | Rendering the Unfolded Cerebral Cortex. | Junfeng Guo, Ioan Alexandru Salomie, Rudi Deklerck, Jan Cornelis |