Dong, Jing

33 publications

ICML 2025 Adaptive Median Smoothing: Adversarial Defense for Unlearned Text-to-Image Diffusion Models at Inference Time Xiaoxuan Han, Songlin Yang, Wei Wang, Yang Li, Jing Dong

ICLR 2025 Image-Level Memorization Detection via Inversion-Based Inference Perturbation Yue Jiang, Haokun Lin, Yang Bai, Bo Peng, Zhili Liu, Yueming Lyu, Yong Yang, Xingzheng, Jing Dong

AAAI 2025 Last-Iterate Convergence in Regularized Graphon Mean Field Game Jing Dong, Baoxiang Wang, Yaoliang Yu

ICML 2025 Learning Imperfect Information Extensive-Form Games with Last-Iterate Convergence Under Bandit Feedback Canzhe Zhao, Yutian Cheng, Jing Dong, Baoxiang Wang, Shuai Li

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

ICML 2025 Towards Black-Box Membership Inference Attack for Diffusion Models Jingwei Li, Jing Dong, Tianxing He, Jingzhao Zhang

ICLRW 2025 Towards Black-Box Membership Inference Attack for Diffusion Models Jingwei Li, Jing Dong, Tianxing He, Jingzhao Zhang

NeurIPS 2025 Uncoupled and Convergent Learning in Monotone Games Under Bandit Feedback Jing Dong, Baoxiang Wang, Yaoliang Yu

AAAI 2024 AE-NeRF: Audio Enhanced Neural Radiance Field for Few Shot Talking Head Synthesis Dongze Li, Kang Zhao, Wei Wang, Bo Peng, Yingya Zhang, Jing Dong, Tieniu Tan

AISTATS 2024 Convergence to Nash Equilibrium and No-Regret Guarantee in (Markov) Potential Games Jing Dong, Baoxiang Wang, Yaoliang Yu

CVPR 2024 Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Triantafyllos Afouras, Kumar Ashutosh, Vijay Baiyya, Siddhant Bansal, Bikram Boote, Eugene Byrne, Zach Chavis, Joya Chen, Feng Cheng, Fu-Jen Chu, Sean Crane, Avijit Dasgupta, Jing Dong, Maria Escobar, Cristhian Forigua, Abrham Gebreselasie, Sanjay Haresh, Jing Huang, Md Mohaiminul Islam, Suyog Jain, Rawal Khirodkar, Devansh Kukreja, Kevin J Liang, Jia-Wei Liu, Sagnik Majumder, Yongsen Mao, Miguel Martin, Effrosyni Mavroudi, Tushar Nagarajan, Francesco Ragusa, Santhosh Kumar Ramakrishnan, Luigi Seminara, Arjun Somayazulu, Yale Song, Shan Su, Zihui Xue, Edward Zhang, Jinxu Zhang, Angela Castillo, Changan Chen, Xinzhu Fu, Ryosuke Furuta, Cristina Gonzalez, Prince Gupta, Jiabo Hu, Yifei Huang, Yiming Huang, Weslie Khoo, Anush Kumar, Robert Kuo, Sach Lakhavani, Miao Liu, Mi Luo, Zhengyi Luo, Brighid Meredith, Austin Miller, Oluwatumininu Oguntola, Xiaqing Pan, Penny Peng, Shraman Pramanick, Merey Ramazanova, Fiona Ryan, Wei Shan, Kiran Somasundaram, Chenan Song, Audrey Southerland, Masatoshi Tateno, Huiyu Wang, Yuchen Wang, Takuma Yagi, Mingfei Yan, Xitong Yang, Zecheng Yu, Shengxin Cindy Zha, Chen Zhao, Ziwei Zhao, Zhifan Zhu, Jeff Zhuo, Pablo Arbelaez, Gedas Bertasius, Dima Damen, Jakob Engel, Giovanni Maria Farinella, Antonino Furnari, Bernard Ghanem, Judy Hoffman, C.V. Jawahar, Richard Newcombe, Hyun Soo Park, James M. Rehg, Yoichi Sato, Manolis Savva, Jianbo Shi, Mike Zheng Shou, Michael Wray

AAAI 2024 Learning Dense Correspondence for NeRF-Based Face Reenactment Songlin Yang, Wei Wang, Yushi Lan, Xiangyu Fan, Bo Peng, Lei Yang, Jing Dong

NeurIPS 2024 Online Control with Adversarial Disturbance for Continuous-Time Linear Systems Jingwei Li, Jing Dong, Can Chang, Baoxiang Wang, Jingzhao Zhang

UAI 2024 Online Policy Optimization for Robust Markov Decision Process Jing Dong, Jingwei Li, Baoxiang Wang, Jingzhao Zhang

NeurIPS 2024 QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers Haozhe Chen, Ang Li, Ethan Che, Tianyi Peng, Jing Dong, Hongseok Namkoong

ECCV 2024 S^3D-NeRF: Single-Shot Speech-Driven Neural Radiance Field for High Fidelity Talking Head Synthesis Dongze Li, Kang Zhao, Wei Wang, Yifeng Ma, Bo Peng, Yingya Zhang, Jing Dong

NeurIPSW 2024 Uncoupled and Convergent Learning in Monotone Games Under Bandit Feedback Jing Dong, Baoxiang Wang, Yaoliang Yu

NeurIPS 2023 A Batch-to-Online Transformation Under Random-Order Model Jing Dong, Yuichi Yoshida

AAAI 2023 CFFT-GAN: Cross-Domain Feature Fusion Transformer for Exemplar-Based Image Translation Tianxiang Ma, Bingchuan Li, Wei Liu, Miao Hua, Jing Dong, Tieniu Tan

IJCAI 2023 DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li

ICMLW 2023 Dynamic Control of Queuing Networks via Differentiable Discrete-Event Simulation Ethan Che, Hongseok Namkoong, Jing Dong

CVPRW 2023 Exposing Fine-Grained Adversarial Vulnerability of Face Anti-Spoofing Models Songlin Yang, Wei Wang, Chenye Xu, Ziwen He, Bo Peng, Jing Dong

ICMLW 2023 Online Control with Adversarial Disturbance for Continuous-Time Linear Systems Jingwei Li, Jing Dong, Baoxiang Wang, Jingzhao Zhang

AAAI 2023 Semantic 3D-Aware Portrait Synthesis and Manipulation Based on Compositional Neural Radiance Field Tianxiang Ma, Bingchuan Li, Qian He, Jing Dong, Tieniu Tan

TMLR 2022 Algorithms and Theory for Supervised Gradual Domain Adaptation Jing Dong, Shiji Zhou, Baoxiang Wang, Han Zhao

NeurIPSW 2022 Online Policy Optimization for Robust MDP Jing Dong, Jingwei Li, Baoxiang Wang, Jingzhao Zhang

NeurIPS 2022 Theseus: A Library for Differentiable Nonlinear Optimization Luis Pineda, Taosha Fan, Maurizio Monge, Shobha Venkataraman, Paloma Sodhi, Ricky T. Q. Chen, Joseph Ortiz, Daniel DeTone, Austin Wang, Stuart Anderson, Jing Dong, Brandon Amos, Mustafa Mukadam

CVPR 2021 Exploring Adversarial Fake Images on Face Manifold Dongze Li, Wei Wang, Hongxing Fan, Jing Dong

CVPR 2021 MUST-GAN: Multi-Level Statistics Transfer for Self-Driven Person Image Generation Tianxiang Ma, Bo Peng, Wei Wang, Jing Dong

JMLR 2021 Replica Exchange for Non-Convex Optimization Jing Dong, Xin T. Tong

ICLR 2020 Efficient Inference and Exploration for Reinforcement Learning Yi Zhu, Jing Dong, Henry Lam

ICLR 2019 Accelerating Nonconvex Learning via Replica Exchange Langevin Diffusion Yi Chen, Jinglin Chen, Jing Dong, Jian Peng, Zhaoran Wang

CVPRW 2017 Position Determines Perspective: Investigating Perspective Distortion for Image Forensics of Faces Bo Peng, Wei Wang, Jing Dong, Tieniu Tan