Donghao Ying - RankMe

20 papers A* 3A 2C 1Journal 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Last-Iterate Convergence in No-Regret Learning: Games with Reference Effects Under Logit Demand. Manag. Sci. Mengzi Amy Guo, Donghao Ying, Javad Lavaei, Zuo-Jun Max Shen
2026	J	`jnl`	Scalable and Efficient Reinforcement Learning for Virtual Machine Rescheduling in Cloud Data Centers. IEEE Trans. Parallel Distributed Syst. Xianzhong Ding, Yunkai Zhang, Binbin Chen, Donghao Ying, Tieying Zhang, Jianjun Chen, Lei Zhang, Alberto Cerpa, Wan Du
2025	J	`jnl`	AccidentBench: Benchmarking Multimodal Understanding and Reasoning in Vehicle Accidents and Beyond. CoRR 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
2025	J	`jnl`	Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond. CoRR Shangding Gu, Donghao Ying, Ming Jin, Yu Joe Lu, Jun Wang, Javad Lavaei, Costas J. Spanos
2025	J	`jnl`	Policy-based Primal-Dual Methods for Concave CMDP with Variance Reduction. J. Artif. Intell. Res. Donghao Ying, Mengzi Amy Guo, Hyunin Lee, Yuhao Ding, Javad Lavaei, Zuo-Jun Max Shen
2025	J	`jnl`	Reward-Safety Balance in Offline Safe RL via Diffusion Regularization. CoRR Junyu Guo, Zhi Zheng, Donghao Ying, Ming Jin, Shangding Gu, Costas J. Spanos, Javad Lavaei
2025	A	`conf`	Towards VM Rescheduling Optimization Through Deep Reinforcement Learning. EuroSys Xianzhong Ding, Yunkai Zhang, Binbin Chen, Donghao Ying, Tieying Zhang, Jianjun Chen, Lei Zhang, Alberto Cerpa, Wan Du
2025	J	`jnl`	Towards VM Rescheduling Optimization Through Deep Reinforcement Learning. CoRR Xianzhong Ding, Yunkai Zhang, Binbin Chen, Donghao Ying, Tieying Zhang, Jianjun Chen, Lei Zhang, Alberto Cerpa, Wan Du
2024	J	`jnl`	A Hitting Time Analysis for Stochastic Time-Varying Functions With Applications to Adversarial Attacks on Computation of Markov Decision Processes. IEEE Trans. Autom. Control. Ali Yekkehkhany, Han Feng, Donghao Ying, Javad Lavaei
2024	J	`jnl`	Bagging Improves Generalization Exponentially. CoRR Huajie Qian, Donghao Ying, Henry Lam, Wotao Yin
2023	A*	`conf`	No-Regret Learning in Dynamic Competition with Reference Effects Under Logit Demand. NeurIPS Mengzi Amy Guo, Donghao Ying, Javad Lavaei, Zuo-Jun Max Shen
2023	J	`jnl`	No-Regret Learning in Dynamic Competition with Reference Effects Under Logit Demand. CoRR Mengzi Amy Guo, Donghao Ying, Javad Lavaei, Zuo-Jun Max Shen
2023	A*	`conf`	Policy-Based Primal-Dual Methods for Convex Constrained Markov Decision Processes. AAAI Donghao Ying, Mengzi Amy Guo, Yuhao Ding, Javad Lavaei, Zuo-Jun Max Shen
2023	C	`conf`	Scalable Multi-Agent Reinforcement Learning with General Utilities. ACC Donghao Ying, Yuhao Ding, Alec Koppel, Javad Lavaei
2023	J	`jnl`	Scalable Multi-Agent Reinforcement Learning with General Utilities. CoRR Donghao Ying, Yuhao Ding, Alec Koppel, Javad Lavaei
2023	A*	`conf`	Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities. NeurIPS Donghao Ying, Yunkai Zhang, Yuhao Ding, Alec Koppel, Javad Lavaei
2023	J	`jnl`	Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities. CoRR Donghao Ying, Yunkai Zhang, Yuhao Ding, Alec Koppel, Javad Lavaei
2022	A	`conf`	A Dual Approach to Constrained Markov Decision Processes with Entropy Regularization. AISTATS Donghao Ying, Yuhao Ding, Javad Lavaei
2022	J	`jnl`	Policy-based Primal-Dual Methods for Convex Constrained Markov Decision Processes. CoRR Donghao Ying, Mengzi Guo, Yuhao Ding, Javad Lavaei, Zuo-Jun Shen
2021	J	`jnl`	A Dual Approach to Constrained Markov Decision Processes with Entropy Regularization. CoRR Donghao Ying, Yuhao Ding, Javad Lavaei