Hanhan Zhou - RankMe

26 papers A* 5A 2Journal 18Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Learning to Collaborate with Unknown Agents in the Absence of Reward. AAAI Zuyuan Zhang, Hanhan Zhou, Mahdi Imani, Taeyoung Lee, Tian Lan
2025	J	`jnl`	Learning-Based Two-Tiered Online Optimization of Region-Wide Datacenter Resource Allocation. IEEE Trans. Netw. Serv. Manag. Chang-Lin Chen, Hanhan Zhou, Jiayu Chen, Mohammad Pedramfar, Tian Lan, Zheqing Zhu, Chi Zhou, Pol Mauri Ruiz, Neeraj Kumar, Hongbo Dong, Vaneet Aggarwal
2025	J	`jnl`	WHEN TO ACT, WHEN TO WAIT: Modeling Structural Trajectories for Intent Triggerability in Task-Oriented Dialogue. CoRR Yaoyao Qian, Jindan Huang, Yuanli Wang, Simon Yu, Kyrie Zhixuan Zhou, Jiayuan Mao, Mingfu Liang, Hanhan Zhou
2025	J	`jnl`	WebGraphEval: Multi-Turn Trajectory Evaluation for Web Agents using Graph Representation. CoRR Yaoyao Qian, Yuanli Wang, Jinda Zhang, Yun Zong, Meixu Chen, Hanhan Zhou, Jindan Huang, Yifan Zeng, Xinyu Hu, Chan Hee Song, Danqing Zhang
2025	J	`jnl`	When Facts Change: Probing LLMs on Evolving Knowledge with evolveQA. CoRR Nishanth Sridhar Nakshatri, Shamik Roy, Manoj Ghuhan Arivazhagan, Hanhan Zhou, Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah
2024	J	`jnl`	Collaborative AI Teaming in Unknown Environments via Active Goal Deduction. CoRR Zuyuan Zhang, Hanhan Zhou, Mahdi Imani, Taeyoung Lee, Tian Lan
2024	A*	`conf`	ConcaveQ: Non-monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning. AAAI Huiqun Li, Hanhan Zhou, Yifei Zou, Dongxiao Yu, Tian Lan
2024	A	`conf`	Projection-Optimal Monotonic Value Function Factorization in Multi-Agent Reinforcement Learning. AAMAS Yongsheng Mei, Hanhan Zhou, Tian Lan
2024	A*	`conf`	RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space. NeurIPS Jingdi Chen, Hanhan Zhou, Yongsheng Mei, Carlee Joe-Wong, Gina C. Adam, Nathaniel D. Bastian, Tian Lan
2024	J	`jnl`	RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space. CoRR Jingdi Chen, Hanhan Zhou, Yongsheng Mei, Carlee Joe-Wong, Gina C. Adam, Nathaniel D. Bastian, Tian Lan
2023	J	`jnl`	ConcaveQ: Non-Monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning. CoRR Huiqun Li, Hanhan Zhou, Yifei Zou, Dongxiao Yu, Tian Lan
2023	A*	`conf`	Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction. NeurIPS Hanhan Zhou, Tian Lan, Guru Venkataramani, Wenbo Ding
2023	J	`jnl`	Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction. CoRR Hanhan Zhou, Tian Lan, Guru Venkataramani, Wenbo Ding
2023	A	`conf`	MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization. AAMAS Yongsheng Mei, Hanhan Zhou, Tian Lan, Guru Venkataramani, Peng Wei
2023	J	`jnl`	MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization. CoRR Yongsheng Mei, Hanhan Zhou, Tian Lan, Guru Venkataramani, Peng Wei
2023	J	`jnl`	ReMIX: Regret Minimization for Monotonic Value Function Factorization in Multiagent Reinforcement Learning. CoRR Yongsheng Mei, Hanhan Zhou, Tian Lan
2023	J	`jnl`	Real-time Network Intrusion Detection via Decision Transformers. CoRR Jingdi Chen, Hanhan Zhou, Yongsheng Mei, Gina C. Adam, Nathaniel D. Bastian, Tian Lan
2023	J	`jnl`	Statistically Efficient Variance Reduction with Double Policy Estimation for Off-Policy Evaluation in Sequence-Modeled Reinforcement Learning. CoRR Hanhan Zhou, Tian Lan, Vaneet Aggarwal
2023	J	`jnl`	Two-tiered Online Optimization of Region-wide Datacenter Resource Allocation via Deep Reinforcement Learning. CoRR Chang-Lin Chen, Hanhan Zhou, Jiayu Chen, Mohammad Pedramfar, Vaneet Aggarwal, Tian Lan, Zheqing Zhu, Chi Zhou, Tim Gasser, Pol Mauri Ruiz, Vijay Menon, Neeraj Kumar, Hongbo Dong
2023	J	`jnl`	Value Functions Factorization With Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients. IEEE Trans. Emerg. Top. Comput. Intell. Hanhan Zhou, Tian Lan, Vaneet Aggarwal
2022	J	`jnl`	On the Convergence of Heterogeneous Federated Learning with Arbitrary Adaptive Online Model Pruning. CoRR Hanhan Zhou, Tian Lan, Guru Venkataramani, Wenbo Ding
2022	J	`jnl`	PAC: Assisted Value Factorisation with Counterfactual Predictions in Multi-Agent Reinforcement Learning. CoRR Hanhan Zhou, Tian Lan, Vaneet Aggarwal
2022	A*	`conf`	PAC: Assisted Value Factorization with Counterfactual Predictions in Multi-Agent Reinforcement Learning. NeurIPS Hanhan Zhou, Tian Lan, Vaneet Aggarwal
2022	J	`jnl`	Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients. CoRR Hanhan Zhou, Tian Lan, Vaneet Aggarwal
2021	J	`jnl`	PT-VTON: an Image-Based Virtual Try-On Network with Progressive Pose Attention Transfer. CoRR Hanhan Zhou, Tian Lan, Guru Venkataramani
2020	—	`conf`	Hunting Garbage Collection Related Concurrency Bugs through Critical Condition Restoration. FEAST@CCS Hanhan Zhou, Tian Lan, Guru Venkataramani