Cascading Bandit under Differential Privacy. - Kun Wang; Jing Dong 008; Baoxiang Wang 001; Shuai Li 010; Shuo Shao (CoRR, 2021)

Incentivizing an Unknown Crowd. - Jing Dong 008; Shuai Li 010; Baoxiang Wang 001 (CoRR, 2021)

Cascading Bandit Under Differential Privacy. - Kun Wang; Jing Dong 008; Baoxiang Wang 001; Shuai Li 010 (ICASSP, 2022)

Combinatorial Bandits under Strategic Manipulations. - Jing Dong 008; Ke Li; Shuai Li 010; Baoxiang Wang 001 (WSDM, 2022)

Online Policy Optimization for Robust MDP. - Jing Dong 008; Jingwei Li; Baoxiang Wang 001; Jingzhao Zhang (CoRR, 2022)

Algorithms and Theory for Supervised Gradual Domain Adaptation. - Jing Dong 008; Shiji Zhou; Baoxiang Wang 001; Han Zhao 002 (Trans. Mach. Learn. Res., 2022)

Provably Efficient Convergence of Primal-Dual Actor-Critic with Nonlinear Function Approximation. - Jing Dong 008; Li Shen 008; Yinggan Xu; Baoxiang Wang 001 (AAMAS, 2023)

DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning. - Canzhe Zhao; Yanjie Ze; Jing Dong 008; Baoxiang Wang 001; Shuai Li 010 (IJCAI, 2023)

Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization. - Canzhe Zhao; Yanjie Ze; Jing Dong 008; Baoxiang Wang 001; Shuai Li 010 (WSDM, 2023)

Online Control with Adversarial Disturbance for Continuous-time Linear Systems. - Jingwei Li; Jing Dong 008; Baoxiang Wang 001; Jingzhao Zhang (CoRR, 2023)

Taming the Exponential Action Set: Sublinear Regret and Fast Convergence to Nash Equilibrium in Online Congestion Games. - Jing Dong 008; Jingyu Wu; Siwei Wang 002; Baoxiang Wang 001; Wei Chen 020 (CoRR, 2023)

Convergence to Nash Equilibrium and No-regret Guarantee in (Markov) Potential Games. - Jing Dong 008; Baoxiang Wang 001; Yaoliang Yu (AISTATS, 2024)

Online Control with Adversarial Disturbance for Continuous-time Linear Systems. - Jingwei Li; Jing Dong 008; Can Chang; Baoxiang Wang 001; Jingzhao Zhang (NeurIPS, 2024)

Online Policy Optimization for Robust Markov Decision Process. - Jing Dong 008; Jingwei Li; Baoxiang Wang 001; Jingzhao Zhang (UAI, 2024)

Uncoupled and Convergent Learning in Monotone Games under Bandit Feedback. - Jing Dong 008; Baoxiang Wang 001; Yaoliang Yu (CoRR, 2024)

On the Decomposition of Differential Game. - Nanxiang Zhou; Jing Dong 008; Yutian Li; Baoxiang Wang 001 (CoRR, 2024)

Last-iterate Convergence in Regularized Graphon Mean Field Game. - Jing Dong 008; Baoxiang Wang 001; Yaoliang Yu (AAAI, 2025)

Pointwise Convergence in Games with Conflicting Interest. - Nanxiang Zhou; Jing Dong 008; Baoxiang Wang 001 (CoRR, 2025)

Reinforcement Learning for Target Zone Blood Glucose Control. - David H. Mguni; Jing Dong 008; Wanrong Yang; Ziquan Liu; Muhammad Salman Haleem; Baoxiang Wang 001 (CoRR, 2025)