Luo, Jun

31 publications

AAAI 2025 An Evaluation Framework for Product Images Background Inpainting Based on Human Feedback and Product Consistency Yuqi Liang, Jun Luo, Xiaoxi Guo, Jianqi Bi

NeurIPS 2025 Attack via Overfitting: 10-Shot Benign Fine-Tuning to Jailbreak LLMs Zhixin Xie, Xurui Song, Jun Luo

NeurIPS 2025 Co-Reinforcement Learning for Unified Multimodal Understanding and Generation Jingjing Jiang, Chongjie Si, Jun Luo, Hanwang Zhang, Chao Ma

ICCV 2025 Corvid: Improving Multimodal Large Language Models Towards Chain-of-Thought Reasoning Jingjing Jiang, Chao Ma, Xurui Song, Hanwang Zhang, Jun Luo

AAAI 2025 Do Not DeepFake Me: Privacy-Preserving Neural 3D Head Reconstruction Without Sensitive Images Jiayi Kong, Xurui Song, Shuo Huai, Baixin Xu, Jun Luo, Ying He

AAAI 2025 GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping Bang An, Xun Zhou, Zirui Zhou, Ronilo J. Ragodos, Zenglin Xu, Jun Luo

NeurIPS 2025 LOPT: Learning Optimal Pigovian Tax in Sequential Social Dilemmas Yun Hua, Shang Gao, Wenhao Li, Haosheng Chen, Bo Jin, Xiangfeng Wang, Jun Luo, Hongyuan Zha

CVPR 2025 MaSS13K: A Matting-Level Semantic Segmentation Benchmark Chenxi Xie, Minghan Li, Hui Zeng, Jun Luo, Lei Zhang

ICLR 2025 Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models Jun Luo, Chen Chen, Shandong Wu

CVPRW 2025 NTIRE 2025 Challenge on Text to Image Generation Model Quality Assessment Shuhao Han, Haotian Fan, Fangyuan Kong, Wenjie Liao, Chunle Guo, Chongyi Li, Radu Timofte, Liang Li, Tao Li, Junhui Cui, Yunqiu Wang, Yang Tai, Jingwei Sun, Jianhui Sun, Xinli Yue, Tianyi Wang, Huan Hou, Junda Lu, Xinyang Huang, Zitang Zhou, Zijian Zhang, Xuhui Zheng, Xuecheng Wu, Chong Peng, Xuezhi Cao, Trong-Hieu Nguyen-Mau, Minh-Hoang Le, Minh-Khoa Le-Phan, Duy-Nam Ly, Hai-Dang Nguyen, Minh-Triet Tran, Yukang Lin, Yan Hong, Chuanbiao Song, Siyuan Li, Jun Lan, Zhichao Zhang, Xinyue Li, Wei Sun, Zicheng Zhang, Yunhao Li, Xiaohong Liu, Guangtao Zhai, Zitong Xu, Huiyu Duan, Jiarui Wang, Guangji Ma, Liu Yang, Lu Liu, Qiang Hu, Xiongkuo Min, Zichuan Wang, Zhenchen Tang, Bo Peng, Jing Dong, Fengbin Guan, Zihao Yu, Yiting Lu, Wei Luo, Xin Li, Minhao Lin, Haofeng Chen, Xuanxuan He, Kele Xu, Qisheng Xu, Zijian Gao, Tianjiao Wan, Bo-Cheng Qiu, Chih-Chung Hsu, Chia-Ming Lee, Yu-Fan Lin, Bo Yu, Zehao Wang, Da Mu, Mingxiu Chen, Junkang Fang, Huamei Sun, Wending Zhao, Zhiyu Wang, Wang Liu, Weikang Yu, Puhong Duan, Bin Sun, Xudong Kang, Shutao Li, Shuai He, Lingzhi Fu, Heng Cong, Rongyu Zhang, Jiarong He, Zhishan Qiao, Yongqing Huang, Zewen Chen, Zhe Pang, Juan Wang, Jian Guo, Zhizhuo Shao, Ziyu Feng, Bing Li, Weiming Hu, Hesong Li, Dehua Liu, Zeming Liu, Qingsong Xie, Ruichen Wang, Zhihao Li, Yuqi Liang, Jianqi Bi, Jun Luo, Junfeng Yang, Can Li, Jing Fu, Hongwei Xu, Mingrui Long, Lulin Tang

ICLR 2025 On the Performance Analysis of Momentum Method: A Frequency Domain Perspective Xianliang Li, Jun Luo, Zhiwei Zheng, Hanxiao Wang, Li Luo, Lingkun Wen, Linlong Wu, Sheng Xu

NeurIPS 2025 Shapley-Coop: Credit Assignment for Emergent Cooperation in Self-Interested LLM Agents Yun Hua, Haosheng Chen, Shiqin Wang, Wenhao Li, Xiangfeng Wang, Jun Luo

JMLR 2024 Label Alignment Regularization for Distribution Shift Ehsan Imani, Guojun Zhang, Runjia Li, Jun Luo, Pascal Poupart, Philip H.S. Torr, Yangchen Pan

CoLLAs 2023 Auxiliary Task Discovery Through Generate-and-Test Banafsheh Rafiee, Sina Ghiassian, Jun Jin, Richard Sutton, Jun Luo, Adam White

ICCV 2023 FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning Guangyu Sun, Matias Mendieta, Jun Luo, Shandong Wu, Chen Chen

ICLRW 2023 HiGeN: HIERARCHICAL MULTI-RESOLUTION GRAPH GENERATIVE NETWORK Mahdi Karami, Jun Luo

TMLR 2023 Memory-Efficient Reinforcement Learning with Value-Based Knowledge Consolidation Qingfeng Lan, Yangchen Pan, Jun Luo, A. Rupam Mahmood

ICCV 2023 OCHID-Fi: Occlusion-Robust Hand Pose Estimation in 3D via RF-Vision Shujie Zhang, Tianyue Zheng, Zhe Chen, Jingzhi Hu, Abdelwahed Khamis, Jiajun Liu, Jun Luo

ICCV 2023 PGFed: Personalize Each Client's Global Objective for Federated Learning Jun Luo, Matias Mendieta, Chen Chen, Shandong Wu

TMLR 2023 Reinforcement Teaching Calarina Muslimani, Alex Lewandowski, Dale Schuurmans, Matthew E. Taylor, Jun Luo

NeurIPS 2022 A Simple Decentralized Cross-Entropy Method Zichen Zhang, Jun Jin, Martin Jagersand, Jun Luo, Dale Schuurmans

IJCAI 2022 Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning Jun Luo, Shandong Wu

NeurIPSW 2022 Build Generally Reusable Agent-Environment Interaction Models Jun Jin, Hongming Zhang, Jun Luo

NeurIPS 2022 Multiagent Q-Learning with Sub-Team Coordination Wenhan Huang, Kai Li, Kun Shao, Tianze Zhou, Matthew Taylor, Jun Luo, Dongge Wang, Hangyu Mao, Jianye Hao, Jun Wang, Xiaotie Deng

UAI 2022 Understanding and Mitigating the Limitations of Prioritized Experience Replay Yangchen Pan, Jincheng Mei, Amir-massoud Farahmand, Martha White, Hengshuai Yao, Mohsen Rohani, Jun Luo

ICCV 2021 Bifold and Semantic Reasoning for Pedestrian Behavior Prediction Amir Rasouli, Mohsen Rohani, Jun Luo

ICCV 2021 Prediction by Anticipation: An Action-Conditional Prediction Method Based on Interaction Learning Ershad Banijamali, Mohsen Rohani, Elmira Amirloo, Jun Luo, Pascal Poupart

CVPR 2021 Self-Supervised Simultaneous Multi-Step Prediction of Road Dynamics and Cost mAP Elmira Amirloo, Mohsen Rohani, Ershad Banijamali, Jun Luo, Pascal Poupart

AAAI 2020 Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao

CoRL 2020 SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving Ming Zhou, Jun Luo, Julian Villella, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Zhengbang Zhu, Yihan Ni, Nhat Nguyen, Mohamed Elsayed, Haitham Ammar, Alexander Cowen-Rivers, Sanjeevan Ahilan, Zheng Tian, Daniel Palenicek, Kasra Rezaee, Peyman Yadmellat, Kun Shao, Dong Chen, Baokuan Zhang, Hongbo Zhang, Jianye Hao, Wulong Liu, Jun Wang

ECML-PKDD 2016 PULSE: A Real Time System for Crowd Flow Prediction at Metropolitan Subway Stations Ermal Toto, Elke A. Rundensteiner, Yanhua Li, Richard Jordan, Mariya Ishutkina, Kajal T. Claypool, Jun Luo, Fan Zhang