Zuo, Jinhang

12 publications

ICML 2025 Fusing Reward and Dueling Feedback in Stochastic Bandits Xuchuang Wang, Qirun Zeng, Jinhang Zuo, Xutong Liu, Mohammad Hajiesmaili, John C.S. Lui, Adam Wierman

AAAI 2025 Heterogeneous Multi-Agent Bandits with Parsimonious Hints Amirmahdi Mirfakhar, Xuchuang Wang, Jinhang Zuo, Yair Zick, Mohammad Hajiesmaili

L4DC 2025 Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions Fatemeh Ghaffari, Xuchuang Wang, Jinhang Zuo, Mohammad Hajiesmaili

ICML 2025 Offline Learning for Combinatorial Multi-Armed Bandits Xutong Liu, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen

ICLR 2025 Stochastic Bandits Robust to Adversarial Attacks Xuchuang Wang, Maoli Liu, Jinhang Zuo, Xutong Liu, John C.S. Lui, Mohammad Hajiesmaili

ICML 2024 Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond Xutong Liu, Siwei Wang, Jinhang Zuo, Han Zhong, Xuchuang Wang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, John C.S. Lui, Wei Chen

NeurIPS 2023 Adversarial Attacks on Online Learning to Rank with Click Feedback Jinhang Zuo, Zhiyao Zhang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, Adam Wierman

ICML 2023 Contextual Combinatorial Bandits with Probabilistically Triggered Arms Xutong Liu, Jinhang Zuo, Siwei Wang, John C.S. Lui, Mohammad Hajiesmaili, Adam Wierman, Wei Chen

AISTATS 2022 Online Competitive Influence Maximization Jinhang Zuo, Xutong Liu, Carlee Joe-Wong, John C. S. Lui, Wei Chen

NeurIPS 2022 Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms Xutong Liu, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen

ICML 2021 Multi-Layered Network Exploration via Random Walks: From Offline Optimization to Online Learning Xutong Liu, Jinhang Zuo, Xiaowei Chen, Wei Chen, John C. S. Lui

AAAI 2020 Observe Before Play: Multi-Armed Bandit with Pre-Observations Jinhang Zuo, Xiaoxi Zhang, Carlee Joe-Wong