Jing Dong

30 papers A* 5A 5Misc 1Journal 18Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A* conf
Last-iterate Convergence in Regularized Graphon Mean Field Game.
AAAI
Jing Dong, Baoxiang Wang, Yaoliang Yu
2025 A* conf
Learning Imperfect Information Extensive-form Games with Last-iterate Convergence under Bandit Feedback.
ICML
Canzhe Zhao, Yutian Cheng, Jing Dong, Baoxiang Wang, Shuai Li
2025 J jnl
Pointwise Convergence in Games with Conflicting Interest.
CoRR
Nanxiang Zhou, Jing Dong, Baoxiang Wang
2025 J jnl
Reinforcement Learning for Target Zone Blood Glucose Control.
CoRR
David H. Mguni, Jing Dong, Wanrong Yang, Ziquan Liu, Muhammad Salman Haleem, Baoxiang Wang
2025 A* conf
Towards Black-Box Membership Inference Attack for Diffusion Models.
ICML
Jingwei Li, Jing Dong, Tianxing He, Jingzhao Zhang
2024 — conf
Convergence to Equilibrium of No-Regret Dynamics in Congestion Games.
WINE
Volkan Cevher, Wei Chen, Leello Dadi, Jing Dong, Ioannis Panageas, Stratis Skoulakis, Luca Viano, Baoxiang Wang, Siwei Wang, Jingyu Wu
2024 A conf
Convergence to Nash Equilibrium and No-regret Guarantee in (Markov) Potential Games.
AISTATS
Jing Dong, Baoxiang Wang, Yaoliang Yu
2024 J jnl
Convergence to Nash Equilibrium and No-regret Guarantee in (Markov) Potential Games.
CoRR
Jing Dong, Baoxiang Wang, Yaoliang Yu
2024 J jnl
Last-iterate Convergence in Regularized Graphon Mean Field Game.
CoRR
Jing Dong, Baoxiang Wang, Yaoliang Yu
2024 J jnl
On the Decomposition of Differential Game.
CoRR
Nanxiang Zhou, Jing Dong, Yutian Li, Baoxiang Wang
2024 A* conf
Online Control with Adversarial Disturbance for Continuous-time Linear Systems.
NeurIPS
Jingwei Li, Jing Dong, Can Chang, Baoxiang Wang, Jingzhao Zhang
2024 A conf
Online Policy Optimization for Robust Markov Decision Process.
UAI
Jing Dong, Jingwei Li, Baoxiang Wang, Jingzhao Zhang
2024 J jnl
Towards Black-Box Membership Inference Attack for Diffusion Models.
CoRR
Jingwei Li, Jing Dong, Tianxing He, Jingzhao Zhang
2024 J jnl
Uncoupled and Convergent Learning in Monotone Games under Bandit Feedback.
CoRR
Jing Dong, Baoxiang Wang, Yaoliang Yu
2023 A* conf
DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning.
IJCAI
Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li
2023 J jnl
DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning.
CoRR
Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li
2023 A conf
Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization.
WSDM
Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li
2023 J jnl
Online Control with Adversarial Disturbance for Continuous-time Linear Systems.
CoRR
Jingwei Li, Jing Dong, Baoxiang Wang, Jingzhao Zhang
2023 A conf
Provably Efficient Convergence of Primal-Dual Actor-Critic with Nonlinear Function Approximation.
AAMAS
Jing Dong, Li Shen, Yinggan Xu, Baoxiang Wang
2023 J jnl
Taming the Exponential Action Set: Sublinear Regret and Fast Convergence to Nash Equilibrium in Online Congestion Games.
CoRR
Jing Dong, Jingyu Wu, Siwei Wang, Baoxiang Wang, Wei Chen
2022 J jnl
Algorithms and Theory for Supervised Gradual Domain Adaptation.
CoRR
Jing Dong, Shiji Zhou, Baoxiang Wang, Han Zhao
2022 J jnl
Algorithms and Theory for Supervised Gradual Domain Adaptation.
Trans. Mach. Learn. Res.
Jing Dong, Shiji Zhou, Baoxiang Wang, Han Zhao
2022 Misc conf
Cascading Bandit Under Differential Privacy.
ICASSP
Kun Wang, Jing Dong, Baoxiang Wang, Shuai Li
2022 A conf
Combinatorial Bandits under Strategic Manipulations.
WSDM
Jing Dong, Ke Li, Shuai Li, Baoxiang Wang
2022 J jnl
Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization.
CoRR
Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li
2022 J jnl
Online Policy Optimization for Robust MDP.
CoRR
Jing Dong, Jingwei Li, Baoxiang Wang, Jingzhao Zhang
2022 J jnl
Provably Efficient Convergence of Primal-Dual Actor-Critic with Nonlinear Function Approximation.
CoRR
Jing Dong, Li Shen, Yinggan Xu, Baoxiang Wang
2021 J jnl
Cascading Bandit under Differential Privacy.
CoRR
Kun Wang, Jing Dong, Baoxiang Wang, Shuai Li, Shuo Shao
2021 J jnl
Combinatorial Bandits under Strategic Manipulations.
CoRR
Jing Dong, Ke Li, Shuai Li, Baoxiang Wang
2021 J jnl
Incentivizing an Unknown Crowd.
CoRR
Jing Dong, Shuai Li, Baoxiang Wang