Donghao Ying

According to our database, Donghao Ying authored at least 15 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Scalable and Efficient Reinforcement Learning for Virtual Machine Rescheduling in Cloud Data Centers.

Xianzhong Ding, Yunkai Zhang, Binbin Chen, Donghao Ying, Tieying Zhang, Jianjun Chen, Lei Zhang, Alberto Cerpa, Wan Du

IEEE Trans. Parallel Distributed Syst., May, 2026

Last-Iterate Convergence in No-Regret Learning: Games with Reference Effects Under Logit Demand.

Mengzi Amy Guo, Donghao Ying, Javad Lavaei, Zuo-Jun Max Shen

Manag. Sci., 2026

2025

AccidentBench: Benchmarking Multimodal Understanding and Reasoning in Vehicle Accidents and Beyond.

Shangding Gu, Xiaohan Wang, Donghao Ying, Haoyu Zhao, Runing Yang, Ming Jin, Boyi Li, Marco Pavone, Serena Yeung-Levy, Jun Wang, Dawn Song, Costas J. Spanos

CoRR, September, 2025

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond.

Shangding Gu, Donghao Ying, Ming Jin, Yu Joe Lu, Jun Wang, Javad Lavaei, Costas J. Spanos

CoRR, May, 2025

Reward-Safety Balance in Offline Safe RL via Diffusion Regularization.

Junyu Guo, Zhi Zheng, Donghao Ying, Ming Jin, Shangding Gu, Costas J. Spanos, Javad Lavaei

CoRR, February, 2025

Policy-based Primal-Dual Methods for Concave CMDP with Variance Reduction.

Donghao Ying, Mengzi Amy Guo, Hyunin Lee, Yuhao Ding, Javad Lavaei, Zuo-Jun Max Shen

J. Artif. Intell. Res., 2025

Don't Trade Off Safety: Diffusion Regularization for Constrained Offline RL.

Junyu Guo, Zhi Zheng, Donghao Ying, Ming Jin, Shangding Gu, Costas J. Spanos, Javad Lavaei

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

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning.

Xianzhong Ding, Yunkai Zhang, Binbin Chen, Donghao Ying, Tieying Zhang, Jianjun Chen, Lei Zhang, Alberto Cerpa, Wan Du

Proceedings of the Twentieth European Conference on Computer Systems, 2025

2024

A Hitting Time Analysis for Stochastic Time-Varying Functions With Applications to Adversarial Attacks on Computation of Markov Decision Processes.

Ali Yekkehkhany, Han Feng, Donghao Ying, Javad Lavaei

IEEE Trans. Autom. Control., June, 2024

Bagging Improves Generalization Exponentially.

Huajie Qian, Donghao Ying, Henry Lam, Wotao Yin

CoRR, 2024

2023

Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities.

Donghao Ying, Yunkai Zhang, Yuhao Ding, Alec Koppel, Javad Lavaei

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

No-Regret Learning in Dynamic Competition with Reference Effects Under Logit Demand.

Mengzi Amy Guo, Donghao Ying, Javad Lavaei, Zuo-Jun Max Shen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Scalable Multi-Agent Reinforcement Learning with General Utilities.

Donghao Ying, Yuhao Ding, Alec Koppel, Javad Lavaei

Proceedings of the American Control Conference, 2023

Policy-Based Primal-Dual Methods for Convex Constrained Markov Decision Processes.

Donghao Ying, Mengzi Amy Guo, Yuhao Ding, Javad Lavaei, Zuo-Jun Max Shen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Dual Approach to Constrained Markov Decision Processes with Entropy Regularization.

Donghao Ying, Yuhao Ding, Javad Lavaei

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022