Jun Guo - RankMe

20 papers A* 3Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FlowDreamer: A RGB-D World Model With Flow-Based Motion Representations for Robot Manipulation. IEEE Robotics Autom. Lett. Jun Guo, Xiaojian Ma, Yikai Wang, Min Yang, Huaping Liu, Qing Li
2025	J	`jnl`	Attacking cooperative multi-agent reinforcement learning by adversarial minority influence. Neural Networks Simin Li, Jun Guo, Jingqiao Xiu, Yuwei Zheng, Pu Feng, Xin Yu, Jiakai Wang, Aishan Liu, Yaodong Yang, Bo An, Wenjun Wu, Xianglong Liu
2025	J	`jnl`	Embodied VideoAgent: Persistent Memory from Egocentric Videos and Embodied Sensors Enables Dynamic Scene Understanding. CoRR Yue Fan, Xiaojian Ma, Rongpeng Su, Jun Guo, Rujie Wu, Xi Chen, Qing Li
2025	J	`jnl`	Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning. CoRR Simin Li, Zihao Mao, Hanxiao Li, Zonglei Jing, Zhuohang Bian, Jun Guo, Li Wang, Zhuoran Han, Ruixiao Xu, Xin Yu, Chengdong Ma, Yuqing Ma, Bo An, Yaodong Yang, Weifeng Lv, Xianglong Liu
2025	J	`jnl`	FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation. CoRR Jun Guo, Xiaojian Ma, Yikai Wang, Min Yang, Huaping Liu, Qing Li
2024	A*	`conf`	Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game. ICLR Simin Li, Jun Guo, Jingqiao Xiu, Ruixiao Xu, Xin Yu, Jiakai Wang, Aishan Liu, Yaodong Yang, Xianglong Liu
2024	J	`jnl`	Generate Transferable Adversarial Physical Camouflages via Triplet Attention Suppression. Int. J. Comput. Vis. Jiakai Wang, Xianglong Liu, Zixin Yin, Yuxuan Wang, Jun Guo, Haotong Qin, Qingtao Wu, Aishan Liu
2024	J	`jnl`	Semantic Gaussians: Open-Vocabulary Scene Understanding with 3D Gaussian Splatting. CoRR Jun Guo, Xiaojian Ma, Yue Fan, Huaping Liu, Qing Li
2023	J	`jnl`	A comprehensive evaluation framework for deep model robustness. Pattern Recognit. Jun Guo, Wei Bao, Jiakai Wang, Yuqing Ma, Xinghai Gao, Gang Xiao, Aishan Liu, Jian Dong, Xianglong Liu, Wenjun Wu
2023	J	`jnl`	Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence. CoRR Simin Li, Jun Guo, Jingqiao Xiu, Pu Feng, Xin Yu, Jiakai Wang, Aishan Liu, Wenjun Wu, Xianglong Liu
2023	J	`jnl`	Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game. CoRR Simin Li, Jun Guo, Jingqiao Xiu, Xini Yu, Jiakai Wang, Aishan Liu, Yaodong Yang, Xianglong Liu
2023	A*	`conf`	Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks. ACM Multimedia Jun Guo, Xingyu Zheng, Aishan Liu, Siyuan Liang, Yisong Xiao, Yichao Wu, Xianglong Liu
2023	J	`jnl`	Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks. CoRR Jun Guo, Aishan Liu, Xingyu Zheng, Siyuan Liang, Yisong Xiao, Yichao Wu, Xianglong Liu
2023	J	`jnl`	MIR2: Towards Provably Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization. CoRR Simin Li, Ruixiao Xu, Jun Guo, Pu Feng, Jiakai Wang, Aishan Liu, Yaodong Yang, Xianglong Liu, Weifeng Lv
2023	A*	`conf`	X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection. USENIX Security Symposium Aishan Liu, Jun Guo, Jiakai Wang, Siyuan Liang, Renshuai Tao, Wenbo Zhou, Cong Liu, Xianglong Liu, Dacheng Tao
2023	J	`jnl`	X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection. CoRR Aishan Liu, Jun Guo, Jiakai Wang, Siyuan Liang, Renshuai Tao, Wenbo Zhou, Cong Liu, Xianglong Liu, Dacheng Tao
2022	—	`conf`	Towards Comprehensive Testing on the Robustness of Cooperative Multi-agent Reinforcement Learning. CVPR Workshops Jun Guo, Yonghong Chen, Yihang Hao, Zixin Yin, Yin Yu, Simin Li
2022	J	`jnl`	Towards Comprehensive Testing on the Robustness of Cooperative Multi-agent Reinforcement Learning. CoRR Jun Guo, Yonghong Chen, Yihang Hao, Zixin Yin, Yin Yu, Simin Li
2021	J	`jnl`	A Comprehensive Evaluation Framework for Deep Model Robustness. CoRR Aishan Liu, Xianglong Liu, Jun Guo, Jiakai Wang, Yuqing Ma, Ze Zhao, Xinghai Gao, Gang Xiao
2021	—	`conf`	Improving Generalization of Deepfake Detection with Domain Adaptive Batch Normalization. AdvM @ ACM Multimedia Zixin Yin, Jiakai Wang, Yifu Ding, Yisong Xiao, Jun Guo, Renshuai Tao, Haotong Qin