Jinhang Zuo

According to our database, Jinhang Zuo authored at least 44 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Accelerating Edge Inference for Distributed MoE Models with Latency-Optimized Expert Placement.

Tian Wu, Liming Wang, Zijian Wen, Xiaoxi Zhang, Jingpu Duan, Xianwei Zhang, Jinhang Zuo

CoRR, August, 2025

Semantic Caching for Low-Cost LLM Serving: From Offline Learning to Online Adaptation.

Xutong Liu, Baran Atalar, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, John C. S. Lui, Wei Chen, Carlee Joe-Wong

CoRR, August, 2025

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution.

Manhin Poon, Xiangxiang Dai, Xutong Liu, Fang Kong, John C. S. Lui, Jinhang Zuo

CoRR, June, 2025

Practical Adversarial Attacks on Stochastic Bandits via Fake Data Injection.

Qirun Zeng, Eric He, Richard Hoffmann, Xuchuang Wang, Jinhang Zuo

CoRR, May, 2025

Source Code for "A Unified Online-Offline Framework for Co-Branding Campaign Recommendations".

Xiangxiang Dai, Xiaowei Sun, Jinhang Zuo, Xutong Liu, John C. S. Lui

Dataset, May, 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

CoRR, April, 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, April, 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

CoRR, January, 2025

Variance-Aware Bandit Framework for Dynamic Probabilistic Maximum Coverage Problem With Triggered or Self-Reliant Arms.

Xiangxiang Dai, Xutong Liu, Jinhang Zuo, Hong Xie, Carlee Joe-Wong, John C. S. Lui

IEEE Trans. Netw., 2025

Multi-agent Stochastic Bandits Robust to Adversarial Corruptions.

Fatemeh Ghaffari, Xuchuang Wang, Jinhang Zuo, Mohammad Hajiesmaili

Proceedings of the 7th Annual Learning for Dynamics & Control Conference, 2025

A Unified Online-Offline Framework for Co-Branding Campaign Recommendations.

Xiangxiang Dai, Xiaowei Sun, Jinhang Zuo, Xutong Liu, John C. S. Lui

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

PASTA: Training Acceleration for Vertical Federated Learning via Adaptive Pipeline Parallelism.

Tian Wu, Weijie Liu, Han Liang, Ziwei Zhan, Jingpu Duan, Chuan Wu, Jinhang Zuo, Xu Chen, Xiaoxi Zhang

Proceedings of the 33rd IEEE/ACM International Symposium on Quality of Service, 2025

Robust Contextual Combinatorial Multi-Armed Bandits for Unreliable Network Systems.

Junkai Wang, Xutong Liu, Jinhang Zuo, Yuedong Xu

Proceedings of the IEEE INFOCOM 2025, 2025

Stochastic Bandits Robust to Adversarial Attacks.

Xuchuang Wang, Maoli Liu, Jinhang Zuo, Xutong Liu, John C. S. Lui, Mohammad Hajiesmaili

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Heterogeneous Multi-Agent Bandits with Parsimonious Hints.

Amirmahdi Mirfakhar, Xuchuang Wang, Jinhang Zuo, Yair Zick, Mohammad Hajiesmaili

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Learning With Side Information: Elastic Multi-Resource Control for the Open RAN.

Xiaoxi Zhang, Jinhang Zuo, Zhe Huang, Zhi Zhou, Xu Chen, Carlee Joe-Wong

IEEE J. Sel. Areas Commun., February, 2024

Learning-enabled Networked Systems.

Jinhang Zuo

SIGMETRICS Perform. Evaluation Rev., January, 2024

Stochastic Bandits Robust to Adversarial Attacks.

Xuchuang Wang, Jinhang Zuo, Xutong Liu, John C. S. Lui, Mohammad Hajiesmaili

CoRR, 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

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

Proceedings of the Abstracts of the 2024 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, 2024

MPVSched: Multipath Transmissions and Video Frame Scheduling for Content Delivery Networks.

Haoran Xu, Xiaoxi Zhang, Jingpu Duan, Chuan Wu, Jinhang Zuo, Xuan Zeng, Chen Chen, Yubing Qiu, Xu Chen

Proceedings of the International Conference on Networking, Architecture and Storage, 2024

Edge-MSL: Split Learning on the Mobile Edge via Multi-Armed Bandits.

Taejin Kim, Jinhang Zuo, Xiaoxi Zhang, Carlee Joe-Wong

Proceedings of the IEEE INFOCOM 2024, 2024

Learning Context-Aware Probabilistic Maximum Coverage Bandits: A Variance-Adaptive Approach.

Xutong Liu, Jinhang Zuo, Junkai Wang, Zhiyong Wang, Yuedong Xu, John C. S. Lui

Proceedings of the IEEE INFOCOM 2024, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Quickest Change Detection with Confusing Change.

Yu-Zhen Janice Chen, Jinhang Zuo, Venugopal V. Veeravalli, Don Towsley

Proceedings of the 58th Asilomar Conference on Signals, 2024

2023

Rhythmic RFID Authentication.

Jiawei Li, Chuyu Wang, Ang Li, Dianqi Han, Yan Zhang, Jinhang Zuo, Rui Zhang, Lei Xie, Yanchao Zhang

IEEE/ACM Trans. Netw., April, 2023

Adversarial Attacks on Cooperative Multi-agent Bandits.

Jinhang Zuo, Zhiyao Zhang, Xuchuang Wang, Cheng Chen, Shuai Li, John C. S. Lui, Mohammad Hajiesmaili, Adam Wierman

CoRR, 2023

Contextual Combinatorial Bandits with Probabilistically Triggered Arms.

Xutong Liu, Jinhang Zuo, Siwei Wang, John C. S. Lui, Mohammad H. Hajiesmaili, Adam Wierman, Wei Chen

CoRR, 2023

Intelligent Communication Planning for Constrained Environmental IoT Sensing with Reinforcement Learning.

Yi Hu, Jinhang Zuo, Bob Iannucci, Carlee Joe-Wong

Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023

Adversarial Attacks on Online Learning to Rank with Click Feedback.

Jinhang Zuo, Zhiyao Zhang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, Adam Wierman

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Variance-Adaptive Algorithm for Probabilistic Maximum Coverage Bandits with General Feedback.

Xutong Liu, Jinhang Zuo, Hong Xie, Carlee Joe-Wong, John C. S. Lui

Proceedings of the IEEE INFOCOM 2023, 2023

Contextual Combinatorial Bandits with Probabilistically Triggered Arms.

Xutong Liu, Jinhang Zuo, Siwei Wang, John C. S. Lui, Mohammad Hajiesmaili, Adam Wierman, Wei Chen

Proceedings of the International Conference on Machine Learning, 2023

2022

Combinatorial Multi-armed Bandits in Competitive Environments

Jinhang Zuo

PhD thesis, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Correlated combinatorial bandits for online resource allocation.

Samarth Gupta, Jinhang Zuo, Carlee Joe-Wong, Gauri Joshi, Osman Yagan

Proceedings of the MobiHoc '22: The Twenty-third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Seoul, Republic of Korea, October 17, 2022

Hierarchical Conversational Preference Elicitation with Bandit Feedback.

Jinhang Zuo, Songwen Hu, Tong Yu, Shuai Li, Handong Zhao, Carlee Joe-Wong

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Online Competitive Influence Maximization.

Jinhang Zuo, Xutong Liu, Carlee Joe-Wong, John C. S. Lui, Wei Chen

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

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

Proceedings of the 38th International Conference on Machine Learning, 2021

Datanet: Enabling Seamless, Metered and Trusted Internet Connectivity without Subscriptions.

Madhumitha Harishankar, Jinhang Zuo, Sriram Venkateswaran Iyer, Patrick Tague, Carlee Joe-Wong

Proceedings of the IEEE International Conference on Communications Workshops, 2021

Combinatorial Multi-armed Bandits for Resource Allocation.

Jinhang Zuo, Carlee Joe-Wong

Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021

2020

RF-Rhythm: Secure and Usable Two-Factor RFID Authentication.

Jiawei Li, Chuyu Wang, Ang Li, Dianqi Han, Yan Zhang, Jinhang Zuo, Rui Zhang, Lei Xie, Yanchao Zhang

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Observe Before Play: Multi-Armed Bandit with Pre-Observations.

Jinhang Zuo, Xiaoxi Zhang, Carlee Joe-Wong

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

SmartWAZ: Design and Implementation of a Smart WiFi Access System Assisted by Zigbee.

Bo Zhang, Jinhang Zuo, Weiwei Mao

IEEE Access, 2019

2015

HYChat: A Hybrid Interactive Chat System for Mobile Social Networking in Proximity.

Jinhang Zuo, Yufeng Wang, Qun Jin, Jianhua Ma

Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom/DataCom/SC2 2015, 2015