We stand with Ukraine

We stand with Ukraine

Jing Dong

Orcid: 0000-0001-8579-306X

Affiliations:

Chinese University of Hong Kong-Shenzhen (CUHK-SZ), Shenzhen, China

According to our database¹, Jing Dong authored at least 22 papers between 2021 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

Online presence:

On csauthors.net:

Bibliography

2025

Reinforcement Learning for Target Zone Blood Glucose Control.

[DOI]

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Muhammad Salman Haleem

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CoRR, August, 2025

Pointwise Convergence in Games with Conflicting Interest.

[DOI]

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CoRR, May, 2025

Uncoupled and Convergent Learning in Monotone Games under Bandit Feedback.

[DOI]

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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Learning Imperfect Information Extensive-form Games with Last-iterate Convergence under Bandit Feedback.

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Proceedings of the Forty-second International Conference on Machine Learning, 2025

Towards Black-Box Membership Inference Attack for Diffusion Models.

[DOI]

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Proceedings of the Forty-second International Conference on Machine Learning, 2025

Last-iterate Convergence in Regularized Graphon Mean Field Game.

[DOI]

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Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

On the Decomposition of Differential Game.

[DOI]

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CoRR, 2024

Convergence to Equilibrium of No-Regret Dynamics in Congestion Games.

[DOI]

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Ioannis Panageas

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Stratis Skoulakis

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Proceedings of the Web and Internet Economics - 20th International Conference, 2024

Online Policy Optimization for Robust Markov Decision Process.

[DOI]

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Proceedings of the Uncertainty in Artificial Intelligence, 2024

Online Control with Adversarial Disturbance for Continuous-time Linear Systems.

[DOI]

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Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Convergence to Nash Equilibrium and No-regret Guarantee in (Markov) Potential Games.

[DOI]

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Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Taming the Exponential Action Set: Sublinear Regret and Fast Convergence to Nash Equilibrium in Online Congestion Games.

[DOI]

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CoRR, 2023

Online Control with Adversarial Disturbance for Continuous-time Linear Systems.

[DOI]

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CoRR, 2023

Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization.

[DOI]

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Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning.

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Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Provably Efficient Convergence of Primal-Dual Actor-Critic with Nonlinear Function Approximation.

[DOI]

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Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Algorithms and Theory for Supervised Gradual Domain Adaptation.

[DOI]

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Trans. Mach. Learn. Res., 2022

Online Policy Optimization for Robust MDP.

[DOI]

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CoRR, 2022

Combinatorial Bandits under Strategic Manipulations.

[DOI]

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Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Cascading Bandit Under Differential Privacy.

[DOI]

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Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Incentivizing an Unknown Crowd.

[DOI]

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CoRR, 2021

Cascading Bandit under Differential Privacy.

[DOI]

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CoRR, 2021

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