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ORCIDJing Dong 0008
Person information
- affiliation: Chinese University of Hong Kong, Shenzhen, China
Other persons with the same name
- Jing Dong — disambiguation page
- Jing Dong 0001
![[0000-0002-0512-8105]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-0512-8105")
— Nanjing Tech University, College of Electrical Engineering and Control Science, China (and 1 more) - Jing Dong 0002 — Georgia Institute of Technology, Institute for Robotics and Intelligent Machines, USA
- Jing Dong 0003 — Chinese Academy of Sciences, Institute of Automation, Center for Research on Intelligent Perception and Computing, Beijing, China
- Jing Dong 0004 — National University of Defense Technology, College of Aerospace Science and Engineering, Changsha, China
- Jing Dong 0005 — University of Texas at Dallas, Computer Science Department, Richardson, TX, USA (and 1 more)
- Jing Dong 0006 — Purdue University, West Lafayette, IN, USA
- Jing Dong 0007 — Columbia University, Business School, New York, NY, USA (and 1 more)
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2020 – today
- 2024
[c6]Jing Dong, Baoxiang Wang, Yaoliang Yu:
Convergence to Nash Equilibrium and No-regret Guarantee in (Markov) Potential Games. AISTATS 2024: 2044-2052- [i12]Jing Dong, Baoxiang Wang, Yaoliang Yu:
Convergence to Nash Equilibrium and No-regret Guarantee in (Markov) Potential Games. CoRR abs/2404.06516 (2024) - [i11]Jing Dong, Baoxiang Wang, Yaoliang Yu:
Uncoupled and Convergent Learning in Monotone Games under Bandit Feedback. CoRR abs/2408.08395 (2024) - 2023
- [c5]Jing Dong, Li Shen, Yinggan Xu, Baoxiang Wang:
Provably Efficient Convergence of Primal-Dual Actor-Critic with Nonlinear Function Approximation. AAMAS 2023: 2640-2642 - [c4]Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li:
DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning. IJCAI 2023: 4638-4646 - [c3]Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li:
Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization. WSDM 2023: 985-993 - [i10]Jingwei Li, Jing Dong, Baoxiang Wang, Jingzhao Zhang:
Online Control with Adversarial Disturbance for Continuous-time Linear Systems. CoRR abs/2306.01952 (2023) - [i9]Jing Dong, Jingyu Wu, Siwei Wang, Baoxiang Wang, Wei Chen:
Taming the Exponential Action Set: Sublinear Regret and Fast Convergence to Nash Equilibrium in Online Congestion Games. CoRR abs/2306.13673 (2023) - [i8]Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li:
DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2308.09902 (2023) - 2022
- [j1]Jing Dong, Shiji Zhou, Baoxiang Wang, Han Zhao:
Algorithms and Theory for Supervised Gradual Domain Adaptation. Trans. Mach. Learn. Res. 2022 (2022) - [c2]Kun Wang, Jing Dong, Baoxiang Wang, Shuai Li:
Cascading Bandit Under Differential Privacy. ICASSP 2022: 4418-4422 - [c1]Jing Dong, Ke Li, Shuai Li, Baoxiang Wang:
Combinatorial Bandits under Strategic Manipulations. WSDM 2022: 219-229 - [i7]Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li:
Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization. CoRR abs/2201.10447 (2022) - [i6]Jing Dong, Li Shen, Yinggan Xu, Baoxiang Wang:
Provably Efficient Convergence of Primal-Dual Actor-Critic with Nonlinear Function Approximation. CoRR abs/2202.13863 (2022) - [i5]Jing Dong, Shiji Zhou, Baoxiang Wang, Han Zhao:
Algorithms and Theory for Supervised Gradual Domain Adaptation. CoRR abs/2204.11644 (2022) - [i4]Jing Dong, Jingwei Li, Baoxiang Wang, Jingzhao Zhang:
Online Policy Optimization for Robust MDP. CoRR abs/2209.13841 (2022) - 2021
- [i3]Jing Dong, Ke Li, Shuai Li, Baoxiang Wang:
Combinatorial Bandits under Strategic Manipulations. CoRR abs/2102.12722 (2021) - [i2]Kun Wang, Jing Dong, Baoxiang Wang, Shuai Li, Shuo Shao:
Cascading Bandit under Differential Privacy. CoRR abs/2105.11126 (2021) - [i1]Jing Dong, Shuai Li, Baoxiang Wang:
Incentivizing an Unknown Crowd. CoRR abs/2109.04226 (2021)
Coauthor Index
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