HYChat: A Hybrid Interactive Chat System for Mobile Social Networking in Proximity. - Jinhang Zuo; Yufeng Wang 001; Qun Jin; Jianhua Ma 002 (SmartCity, 2015)

Observe Before Play: Multi-armed Bandit with Pre-Observations. - Jinhang Zuo; Xiaoxi Zhang 001; Carlee Joe-Wong (SIGMETRICS Perform. Evaluation Rev., 2018)

SmartWAZ: Design and Implementation of a Smart WiFi Access System Assisted by Zigbee. - Bo Zhang 034; Jinhang Zuo; Weiwei Mao (IEEE Access, 2019)

RF-Rhythm: Secure and Usable Two-Factor RFID Authentication. - Jiawei Li 010; Chuyu Wang; Ang Li 013; Dianqi Han; Yan Zhang 091; Jinhang Zuo; Rui Zhang 007; Lei Xie 004; Yanchao Zhang (INFOCOM, 2020)

Combinatorial Multi-armed Bandits for Resource Allocation. - Jinhang Zuo; Carlee Joe-Wong (CISS, 2021)

Datanet: Enabling Seamless, Metered and Trusted Internet Connectivity without Subscriptions. - Madhumitha Harishankar; Jinhang Zuo; Sriram Venkateswaran Iyer; Patrick Tague; Carlee Joe-Wong (ICC Workshops, 2021)

Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning. - Xutong Liu 002; Jinhang Zuo; Xiaowei Chen 002; Wei Chen 013; John C. S. Lui (ICML, 2021)

Online Competitive Influence Maximization. - Jinhang Zuo; Xutong Liu 002; Carlee Joe-Wong; John C. S. Lui; Wei Chen 013 (AISTATS, 2022)

Hierarchical Conversational Preference Elicitation with Bandit Feedback. - Jinhang Zuo; Songwen Hu; Tong Yu 001; Shuai Li 010; Handong Zhao; Carlee Joe-Wong (CIKM, 2022)

Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms. - Xutong Liu 002; Jinhang Zuo; Siwei Wang 002; Carlee Joe-Wong; John C. S. Lui; Wei Chen 013 (NeurIPS, 2022)

Combinatorial Multi-armed Bandits in Competitive Environments - Jinhang Zuo (2022)

Contextual Combinatorial Bandits with Probabilistically Triggered Arms. - Xutong Liu 002; Jinhang Zuo; Siwei Wang 002; John C. S. Lui; Mohammad Hajiesmaili; Adam Wierman; Wei Chen 013 (ICML, 2023)

Variance-Adaptive Algorithm for Probabilistic Maximum Coverage Bandits with General Feedback. - Xutong Liu 002; Jinhang Zuo; Hong Xie 004; Carlee Joe-Wong; John C. S. Lui (INFOCOM, 2023)

Adversarial Attacks on Online Learning to Rank with Click Feedback. - Jinhang Zuo; Zhiyao Zhang; Zhiyong Wang; Shuai Li 010; Mohammad Hajiesmaili; Adam Wierman (NeurIPS, 2023)

Intelligent Communication Planning for Constrained Environmental IoT Sensing with Reinforcement Learning. - Yi Hu; Jinhang Zuo; Bob Iannucci; Carlee Joe-Wong (SECON, 2023)

Contextual Combinatorial Bandits with Probabilistically Triggered Arms. - Xutong Liu 002; Jinhang Zuo; Siwei Wang 002; John C. S. Lui; Mohammad H. Hajiesmaili; Adam Wierman; Wei Chen 020 (CoRR, 2023)

Adversarial Attacks on Cooperative Multi-agent Bandits. - Jinhang Zuo; Zhiyao Zhang; Xuchuang Wang; Cheng Chen 015; Shuai Li 010; John C. S. Lui; Mohammad Hajiesmaili; Adam Wierman (CoRR, 2023)

Correlated Combinatorial Bandits for Online Resource Allocation. - Samarth Gupta; Jinhang Zuo; Carlee Joe-Wong; Gauri Joshi; Osman Yagan (SIGMETRICS Perform. Evaluation Rev., 2023)

Rhythmic RFID Authentication. - Jiawei Li 010; Chuyu Wang; Ang Li 013; Dianqi Han; Yan Zhang 091; Jinhang Zuo; Rui Zhang 007; Lei Xie 004; Yanchao Zhang (IEEE/ACM Trans. Netw., 2023)

The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting. - Adam Lechowicz; Nicolas Christianson; Jinhang Zuo; Noman Bashir; Mohammad Hajiesmaili; Adam Wierman; Prashant J. Shenoy (Proc. ACM Meas. Anal. Comput. Syst., 2023)

Quickest Change Detection with Confusing Change. - Yu-Zhen Janice Chen; Jinhang Zuo; Venugopal V. Veeravalli; Don Towsley (IEEECONF, 2024)

Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond. - Xutong Liu 002; Siwei Wang 002; Jinhang Zuo; Han Zhong; Xuchuang Wang; Zhiyong Wang; Shuai Li 010; Mohammad Hajiesmaili; John C. S. Lui; Wei Chen 020 (ICML, 2024)

Learning Context-Aware Probabilistic Maximum Coverage Bandits: A Variance-Adaptive Approach. - Xutong Liu 002; Jinhang Zuo; Junkai Wang; Zhiyong Wang; Yuedong Xu 001; John C. S. Lui (INFOCOM, 2024)

Edge-MSL: Split Learning on the Mobile Edge via Multi-Armed Bandits. - Taejin Kim; Jinhang Zuo; Xiaoxi Zhang 001; Carlee Joe-Wong (INFOCOM, 2024)

MPVSched: Multipath Transmissions and Video Frame Scheduling for Content Delivery Networks. - Haoran Xu; Xiaoxi Zhang 001; Jingpu Duan; Chuan Wu 001; Jinhang Zuo; Xuan Zeng; Chen Chen; Yubing Qiu; Xu Chen 004 (NAS, 2024)

CoRAST: Towards Foundation Model-Powered Correlated Data Analysis in Resource-Constrained CPS and IoT. - Yi Hu; Jinhang Zuo; Alanis Zhao; Bob Iannucci; Carlee Joe-Wong (CoRR, 2024)

Stochastic Bandits Robust to Adversarial Attacks. - Xuchuang Wang; Jinhang Zuo; Xutong Liu 002; John C. S. Lui; Mohammad Hajiesmaili (CoRR, 2024)

Learning-enabled Networked Systems. - Jinhang Zuo (SIGMETRICS Perform. Evaluation Rev., 2024)

Learning With Side Information: Elastic Multi-Resource Control for the Open RAN. - Xiaoxi Zhang 001; Jinhang Zuo; Zhe Huang 001; Zhi Zhou 006; Xu Chen 004; Carlee Joe-Wong (IEEE J. Sel. Areas Commun., 2024)

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

Stochastic Bandits Robust to Adversarial Attacks. - Xuchuang Wang; Maoli Liu; Jinhang Zuo; Xutong Liu 002; John C. S. Lui; Mohammad Hajiesmaili (ICLR, 2025)

Robust Contextual Combinatorial Multi-Armed Bandits for Unreliable Network Systems. - Junkai Wang; Xutong Liu 002; Jinhang Zuo; Yuedong Xu 001 (INFOCOM, 2025)

Multi-agent Stochastic Bandits Robust to Adversarial Corruptions. - Fatemeh Ghaffari; Xuchuang Wang; Jinhang Zuo; Mohammad Hajiesmaili (L4DC, 2025)

Offline Learning for Combinatorial Multi-armed Bandits. - Xutong Liu 002; Xiangxiang Dai; Jinhang Zuo; Siwei Wang 002; Carlee Joe-Wong; John C. S. Lui; Wei Chen 013 (CoRR, 2025)

Tin-Tin: Towards Tiny Learning on Tiny Devices with Integer-based Neural Network Training. - Yi Hu; Jinhang Zuo; Eddie Zhang; Bob Iannucci; Carlee Joe-Wong (CoRR, 2025)

Fusing Reward and Dueling Feedback in Stochastic Bandits. - Xuchuang Wang; Qirun Zeng; Jinhang Zuo; Xutong Liu 002; Mohammad Hajiesmaili; John C. S. Lui; Adam Wierman (CoRR, 2025)

Practical Adversarial Attacks on Stochastic Bandits via Fake Data Injection. - Qirun Zeng; Eric He; Richard Hoffmann; Xuchuang Wang; Jinhang Zuo (CoRR, 2025)

A Unified Online-Offline Framework for Co-Branding Campaign Recommendations. - Xiangxiang Dai; Xiaowei Sun; Jinhang Zuo; Xutong Liu 002; John C. S. Lui (CoRR, 2025)

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution. - Manhin Poon; Xiangxiang Dai; Xutong Liu 002; Fang Kong 002; John C. S. Lui; Jinhang Zuo (CoRR, 2025)

Semantic Caching for Low-Cost LLM Serving: From Offline Learning to Online Adaptation. - Xutong Liu 002; Baran Atalar; Xiangxiang Dai; Jinhang Zuo; Siwei Wang 002; John C. S. Lui; Wei Chen 013; Carlee Joe-Wong (CoRR, 2025)

Accelerating Edge Inference for Distributed MoE Models with Latency-Optimized Expert Placement. - Tian Wu; Liming Wang; Zijian Wen; Xiaoxi Zhang 001; Jingpu Duan; Xianwei Zhang; Jinhang Zuo (CoRR, 2025)