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ORCIDJun Guo 0009
Person information
- affiliation: Tsinghua University, China
- unicode name: 郭骏
Other persons with the same name
- Jun Guo — disambiguation page
- Jun Guo 0001
![[0000-0002-5645-2132]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-5645-2132")
— Dongguan University of Technology, College of Science and Technology, China (and 3 more) - Jun Guo 0002 — Beijing University of Posts and Telecommunications, Pattern Recognition and Intelligent System Laboratory, China (and 1 more)
- Jun Guo 0003 — State Key Laboratory of Disaster Prevention and Reduction for Power Grid Transmission and Distribution Equipment, State Grid Hunan Electric Company Disaster Prevention and Reduction Center, Changsha, China
- Jun Guo 0004 — Langfang Teachers' College, Mathematics and Information College, China
- Jun Guo 0005 — Boise State University, Department of Electrical and Computer Engineering, ID, USA
- Jun Guo 0006 — University of California at Irvine, Center for Pervasive Communications and Computing, CA, USA
- Jun Guo 0007 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China
- Jun Guo 0008 — Tsinghua-Berkeley Shenzhen Institute, Shenzhen, China (and 1 more)
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2020 – today
- 2025
[i9]Yue Fan, Xiaojian Ma, Rongpeng Su, Jun Guo, Rujie Wu, Xi Chen, Qing Li:
Embodied VideoAgent: Persistent Memory from Egocentric Videos and Embodied Sensors Enables Dynamic Scene Understanding. CoRR abs/2501.00358 (2025)- 2024
- [j2]Jiakai Wang, Xianglong Liu, Zixin Yin, Yuxuan Wang, Jun Guo, Haotong Qin, Qingtao Wu, Aishan Liu:
Generate Transferable Adversarial Physical Camouflages via Triplet Attention Suppression. Int. J. Comput. Vis. 132(11): 5084-5100 (2024) - [c5]Simin Li, Jun Guo, Jingqiao Xiu, Ruixiao Xu, Xin Yu, Jiakai Wang, Aishan Liu, Yaodong Yang, Xianglong Liu:
Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game. ICLR 2024 - [i8]Jun Guo, Xiaojian Ma, Yue Fan, Huaping Liu, Qing Li:
Semantic Gaussians: Open-Vocabulary Scene Understanding with 3D Gaussian Splatting. CoRR abs/2403.15624 (2024) - 2023
- [j1]Jun Guo, Wei Bao, Jiakai Wang, Yuqing Ma, Xinghai Gao, Gang Xiao, Aishan Liu, Jian Dong, Xianglong Liu, Wenjun Wu:
A comprehensive evaluation framework for deep model robustness. Pattern Recognit. 137: 109308 (2023) - [c4]Jun Guo, Xingyu Zheng, Aishan Liu, Siyuan Liang, Yisong Xiao, Yichao Wu, Xianglong Liu:
Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks. ACM Multimedia 2023: 4178-4189 - [c3]Aishan Liu, Jun Guo, Jiakai Wang, Siyuan Liang, Renshuai Tao, Wenbo Zhou, Cong Liu, Xianglong Liu, Dacheng Tao:
X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection. USENIX Security Symposium 2023: 3781-3798 - [i7]Simin Li, Jun Guo, Jingqiao Xiu, Pu Feng, Xin Yu, Jiakai Wang, Aishan Liu, Wenjun Wu, Xianglong Liu:
Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence. CoRR abs/2302.03322 (2023) - [i6]Aishan Liu, Jun Guo, Jiakai Wang, Siyuan Liang, Renshuai Tao, Wenbo Zhou, Cong Liu, Xianglong Liu, Dacheng Tao:
X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection. CoRR abs/2302.09491 (2023) - [i5]Simin Li, Jun Guo, Jingqiao Xiu, Xini Yu, Jiakai Wang, Aishan Liu, Yaodong Yang, Xianglong Liu:
Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game. CoRR abs/2305.12872 (2023) - [i4]Jun Guo, Aishan Liu, Xingyu Zheng, Siyuan Liang, Yisong Xiao, Yichao Wu, Xianglong Liu:
Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks. CoRR abs/2308.00958 (2023) - [i3]Simin Li, Ruixiao Xu, Jun Guo, Pu Feng, Jiakai Wang, Aishan Liu, Yaodong Yang, Xianglong Liu, Weifeng Lv:
MIR2: Towards Provably Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization. CoRR abs/2310.09833 (2023) - 2022
- [c2]Jun Guo, Yonghong Chen, Yihang Hao, Zixin Yin, Yin Yu, Simin Li:
Towards Comprehensive Testing on the Robustness of Cooperative Multi-agent Reinforcement Learning. CVPR Workshops 2022: 114-121 - [i2]Jun Guo, Yonghong Chen, Yihang Hao, Zixin Yin, Yin Yu, Simin Li:
Towards Comprehensive Testing on the Robustness of Cooperative Multi-agent Reinforcement Learning. CoRR abs/2204.07932 (2022) - 2021
- [c1]Zixin Yin, Jiakai Wang, Yifu Ding, Yisong Xiao, Jun Guo, Renshuai Tao, Haotong Qin:
Improving Generalization of Deepfake Detection with Domain Adaptive Batch Normalization. AdvM @ ACM Multimedia 2021: 21-27 - [i1]Aishan Liu, Xianglong Liu, Jun Guo, Jiakai Wang, Yuqing Ma, Ze Zhao, Xinghai Gao, Gang Xiao:
A Comprehensive Evaluation Framework for Deep Model Robustness. CoRR abs/2101.09617 (2021)
Coauthor Index
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