Jinhang Zuo

64 papers A* 16A 2B 3Misc 1Journal 34Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Exploring multi-layered networks through random walks: bridging offline optimization and online learning.
Artif. Intell.
Xiangxiang Dai, Xutong Liu, Jinhang Zuo, Xiaowei Chen, Wei Chen, John C. S. Lui
2026 A* conf
Online Multi-LLM Selection via Contextual Bandits Under Unstructured Context Evolution.
AAAI
Manhin Poon, Xiangxiang Dai, Xutong Liu, Fang Kong, John C. S. Lui, Jinhang Zuo
2025 — conf
A Unified Online-Offline Framework for Co-Branding Campaign Recommendations.
KDD (2)
Xiangxiang Dai, Xiaowei Sun, Jinhang Zuo, Xutong Liu, John C. S. Lui
2025 J jnl
A Unified Online-Offline Framework for Co-Branding Campaign Recommendations.
CoRR
Xiangxiang Dai, Xiaowei Sun, Jinhang Zuo, Xutong Liu, John C. S. Lui
2025 J jnl
Accelerating Edge Inference for Distributed MoE Models with Latency-Optimized Expert Placement.
CoRR
Tian Wu, Liming Wang, Zijian Wen, Xiaoxi Zhang, Jingpu Duan, Xianwei Zhang, Jinhang Zuo
2025 A* conf
Fusing Reward and Dueling Feedback in Stochastic Bandits.
ICML
Xuchuang Wang, Qirun Zeng, Jinhang Zuo, Xutong Liu, Mohammad Hajiesmaili, John C. S. Lui, Adam Wierman
2025 J jnl
Fusing Reward and Dueling Feedback in Stochastic Bandits.
CoRR
Xuchuang Wang, Qirun Zeng, Jinhang Zuo, Xutong Liu, Mohammad Hajiesmaili, John C. S. Lui, Adam Wierman
2025 A* conf
Heterogeneous Multi-Agent Bandits with Parsimonious Hints.
AAAI
Amirmahdi Mirfakhar, Xuchuang Wang, Jinhang Zuo, Yair Zick, Mohammad Hajiesmaili
2025 J jnl
Heterogeneous Multi-Agent Bandits with Parsimonious Hints.
CoRR
Amirmahdi Mirfakhar, Xuchuang Wang, Jinhang Zuo, Yair Zick, Mohammad Hajiesmaili
2025 — conf
Multi-agent Stochastic Bandits Robust to Adversarial Corruptions.
L4DC
Fatemeh Ghaffari, Xuchuang Wang, Jinhang Zuo, Mohammad Hajiesmaili
2025 A* conf
Offline Learning for Combinatorial Multi-armed Bandits.
ICML
Xutong Liu, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C. S. Lui, Wei Chen
2025 J jnl
Offline Learning for Combinatorial Multi-armed Bandits.
CoRR
Xutong Liu, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C. S. Lui, Wei Chen
2025 J jnl
Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution.
CoRR
Manhin Poon, Xiangxiang Dai, Xutong Liu, Fang Kong, John C. S. Lui, Jinhang Zuo
2025 B conf
PASTA: Training Acceleration for Vertical Federated Learning via Adaptive Pipeline Parallelism.
IWQoS
Tian Wu, Weijie Liu, Han Liang, Ziwei Zhan, Jingpu Duan, Chuan Wu, Jinhang Zuo, Xu Chen, Xiaoxi Zhang
2025 J jnl
Practical Adversarial Attacks on Stochastic Bandits via Fake Data Injection.
CoRR
Qirun Zeng, Eric He, Richard Hoffmann, Xuchuang Wang, Jinhang Zuo
2025 A* conf
Robust Contextual Combinatorial Multi-Armed Bandits for Unreliable Network Systems.
INFOCOM
Junkai Wang, Xutong Liu, Jinhang Zuo, Yuedong Xu
2025 J jnl
Semantic Caching for Low-Cost LLM Serving: From Offline Learning to Online Adaptation.
CoRR
Xutong Liu, Baran Atalar, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, John C. S. Lui, Wei Chen, Carlee Joe-Wong
2025 A* conf
Stochastic Bandits Robust to Adversarial Attacks.
ICLR
Xuchuang Wang, Maoli Liu, Jinhang Zuo, Xutong Liu, John C. S. Lui, Mohammad Hajiesmaili
2025 J jnl
Tin-Tin: Towards Tiny Learning on Tiny Devices with Integer-based Neural Network Training.
CoRR
Yi Hu, Jinhang Zuo, Eddie Zhang, Bob Iannucci, Carlee Joe-Wong
2025 J jnl
Variance-Aware Bandit Framework for Dynamic Probabilistic Maximum Coverage Problem With Triggered or Self-Reliant Arms.
IEEE Trans. Netw.
Xiangxiang Dai, Xutong Liu, Jinhang Zuo, Hong Xie, Carlee Joe-Wong, John C. S. Lui
2024 J jnl
CoRAST: Towards Foundation Model-Powered Correlated Data Analysis in Resource-Constrained CPS and IoT.
CoRR
Yi Hu, Jinhang Zuo, Alanis Zhao, Bob Iannucci, Carlee Joe-Wong
2024 A* conf
Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond.
ICML
Xutong Liu, Siwei Wang, Jinhang Zuo, Han Zhong, Xuchuang Wang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, John C. S. Lui, Wei Chen
2024 J jnl
Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond.
CoRR
Xutong Liu, Siwei Wang, Jinhang Zuo, Han Zhong, Xuchuang Wang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, John C. S. Lui, Wei Chen
2024 A* conf
Edge-MSL: Split Learning on the Mobile Edge via Multi-Armed Bandits.
INFOCOM
Taejin Kim, Jinhang Zuo, Xiaoxi Zhang, Carlee Joe-Wong
2024 A* conf
Learning Context-Aware Probabilistic Maximum Coverage Bandits: A Variance-Adaptive Approach.
INFOCOM
Xutong Liu, Jinhang Zuo, Junkai Wang, Zhiyong Wang, Yuedong Xu, John C. S. Lui
2024 J jnl
Learning With Side Information: Elastic Multi-Resource Control for the Open RAN.
IEEE J. Sel. Areas Commun.
Xiaoxi Zhang, Jinhang Zuo, Zhe Huang, Zhi Zhou, Xu Chen, Carlee Joe-Wong
2024 J jnl
Learning-enabled Networked Systems.
SIGMETRICS Perform. Evaluation Rev.
Jinhang Zuo
2024 — conf
MPVSched: Multipath Transmissions and Video Frame Scheduling for Content Delivery Networks.
NAS
Haoran Xu, Xiaoxi Zhang, Jingpu Duan, Chuan Wu, Jinhang Zuo, Xuan Zeng, Chen Chen, Yubing Qiu, Xu Chen
2024 J jnl
Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions.
CoRR
Fatemeh Ghaffari, Xuchuang Wang, Jinhang Zuo, Mohammad Hajiesmaili
2024 — conf
Quickest Change Detection with Confusing Change.
IEEECONF
Yu-Zhen Janice Chen, Jinhang Zuo, Venugopal V. Veeravalli, Don Towsley
2024 J jnl
Quickest Change Detection with Confusing Change.
CoRR
Yu-Zhen Janice Chen, Jinhang Zuo, Venugopal V. Veeravalli, Don Towsley
2024 J jnl
Stochastic Bandits Robust to Adversarial Attacks.
CoRR
Xuchuang Wang, Jinhang Zuo, Xutong Liu, John C. S. Lui, Mohammad Hajiesmaili
2024 — conf
The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting.
SIGMETRICS/Performance (Abstracts)
Adam Lechowicz, Nicolas Christianson, Jinhang Zuo, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy
2023 J jnl
Adversarial Attacks on Cooperative Multi-agent Bandits.
CoRR
Jinhang Zuo, Zhiyao Zhang, Xuchuang Wang, Cheng Chen, Shuai Li, John C. S. Lui, Mohammad Hajiesmaili, Adam Wierman
2023 A* conf
Adversarial Attacks on Online Learning to Rank with Click Feedback.
NeurIPS
Jinhang Zuo, Zhiyao Zhang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, Adam Wierman
2023 J jnl
Adversarial Attacks on Online Learning to Rank with Click Feedback.
CoRR
Jinhang Zuo, Zhiyao Zhang, Zhiyong Wang, Shuai Li, Mohammad H. Hajiesmaili, Adam Wierman
2023 A* conf
Contextual Combinatorial Bandits with Probabilistically Triggered Arms.
ICML
Xutong Liu, Jinhang Zuo, Siwei Wang, John C. S. Lui, Mohammad Hajiesmaili, Adam Wierman, Wei Chen
2023 J jnl
Contextual Combinatorial Bandits with Probabilistically Triggered Arms.
CoRR
Xutong Liu, Jinhang Zuo, Siwei Wang, John C. S. Lui, Mohammad H. Hajiesmaili, Adam Wierman, Wei Chen
2023 J jnl
Correlated Combinatorial Bandits for Online Resource Allocation.
SIGMETRICS Perform. Evaluation Rev.
Samarth Gupta, Jinhang Zuo, Carlee Joe-Wong, Gauri Joshi, Osman Yagan
2023 B conf
Intelligent Communication Planning for Constrained Environmental IoT Sensing with Reinforcement Learning.
SECON
Yi Hu, Jinhang Zuo, Bob Iannucci, Carlee Joe-Wong
2023 J jnl
Intelligent Communication Planning for Constrained Environmental IoT Sensing with Reinforcement Learning.
CoRR
Yi Hu, Jinhang Zuo, Bob Iannucci, Carlee Joe-Wong
2023 J jnl
Rhythmic RFID Authentication.
IEEE/ACM Trans. Netw.
Jiawei Li, Chuyu Wang, Ang Li, Dianqi Han, Yan Zhang, Jinhang Zuo, Rui Zhang, Lei Xie, Yanchao Zhang
2023 J jnl
The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting.
CoRR
Adam Lechowicz, Nicolas Christianson, Jinhang Zuo, Noman Bashir, Mohammad H. Hajiesmaili, Adam Wierman, Prashant J. Shenoy
2023 J jnl
The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting.
Proc. ACM Meas. Anal. Comput. Syst.
Adam Lechowicz, Nicolas Christianson, Jinhang Zuo, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy
2023 A* conf
Variance-Adaptive Algorithm for Probabilistic Maximum Coverage Bandits with General Feedback.
INFOCOM
Xutong Liu, Jinhang Zuo, Hong Xie, Carlee Joe-Wong, John C. S. Lui
2022 A* conf
Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms.
NeurIPS
Xutong Liu, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C. S. Lui, Wei Chen
2022 J jnl
Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms.
CoRR
Xutong Liu, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C. S. Lui, Wei Chen
2022 — —
Combinatorial Multi-armed Bandits in Competitive Environments
Jinhang Zuo
2022 B conf
Correlated combinatorial bandits for online resource allocation.
MobiHoc
Samarth Gupta, Jinhang Zuo, Carlee Joe-Wong, Gauri Joshi, Osman Yagan
2022 A conf
Hierarchical Conversational Preference Elicitation with Bandit Feedback.
CIKM
Jinhang Zuo, Songwen Hu, Tong Yu, Shuai Li, Handong Zhao, Carlee Joe-Wong
2022 J jnl
Hierarchical Conversational Preference Elicitation with Bandit Feedback.
CoRR
Jinhang Zuo, Songwen Hu, Tong Yu, Shuai Li, Handong Zhao, Carlee Joe-Wong
2022 A conf
Online Competitive Influence Maximization.
AISTATS
Jinhang Zuo, Xutong Liu, Carlee Joe-Wong, John C. S. Lui, Wei Chen
2021 Misc conf
Combinatorial Multi-armed Bandits for Resource Allocation.
CISS
Jinhang Zuo, Carlee Joe-Wong
2021 J jnl
Combinatorial Multi-armed Bandits for Resource Allocation.
CoRR
Jinhang Zuo, Carlee Joe-Wong
2021 — conf
Datanet: Enabling Seamless, Metered and Trusted Internet Connectivity without Subscriptions.
ICC Workshops
Madhumitha Harishankar, Jinhang Zuo, Sriram Venkateswaran Iyer, Patrick Tague, Carlee Joe-Wong
2021 A* conf
Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning.
ICML
Xutong Liu, Jinhang Zuo, Xiaowei Chen, Wei Chen, John C. S. Lui
2021 J jnl
Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning.
CoRR
Xutong Liu, Jinhang Zuo, Xiaowei Chen, Wei Chen, John C. S. Lui
2020 A* conf
Observe Before Play: Multi-Armed Bandit with Pre-Observations.
AAAI
Jinhang Zuo, Xiaoxi Zhang, Carlee Joe-Wong
2020 J jnl
Online Competitive Influence Maximization.
CoRR
Jinhang Zuo, Xutong Liu, Carlee Joe-Wong, John C. S. Lui, Wei Chen
2020 A* conf
RF-Rhythm: Secure and Usable Two-Factor RFID Authentication.
INFOCOM
Jiawei Li, Chuyu Wang, Ang Li, Dianqi Han, Yan Zhang, Jinhang Zuo, Rui Zhang, Lei Xie, Yanchao Zhang
2019 J jnl
Observe Before Play: Multi-armed Bandit with Pre-observations.
CoRR
Jinhang Zuo, Xiaoxi Zhang, Carlee Joe-Wong
2019 J jnl
SmartWAZ: Design and Implementation of a Smart WiFi Access System Assisted by Zigbee.
IEEE Access
Bo Zhang, Jinhang Zuo, Weiwei Mao
2018 J jnl
Observe Before Play: Multi-armed Bandit with Pre-Observations.
SIGMETRICS Perform. Evaluation Rev.
Jinhang Zuo, Xiaoxi Zhang, Carlee Joe-Wong
2015 — conf
HYChat: A Hybrid Interactive Chat System for Mobile Social Networking in Proximity.
SmartCity
Jinhang Zuo, Yufeng Wang, Qun Jin, Jianhua Ma