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Contact

HUST, HongShan, Wuhan
xiongwang@hust.edu.cn
https://wangxionghome.github.io/
Download my resume here

I am now looking for graduate students and intern students who are interested in machine learning system, LLM training and inference, distributed learning, data center network. If you have interests, feel free to contact me.

News

• 获得2024年全国大学生挑战杯揭榜挂帅一等奖两项，祝贺同学们
• Paper "Runtime-Aware Pipeline for Vertical Federated Learning with Bounded Model Staleness" is accpeted by ACM KDD 2025
• Paper "Existence and Uniqueness of Mean Field Equilibrium in Continuous Bandit Game" is accpeted by SCIENCE CHINA Information Sciences 2025
• Paper "FedUP: Bridging Fairness and Efficiency in Cross-Silo Federated Learning" is accpeted by IEEE TSC 2024
• Two papers are accpeted by IEEE INFOCOM 2024
• Paper "Incentivizing Proportional Fairness for Multi-Task Allocation in Crowdsensing" is accpeted by IEEE TSC 2023
• Paper "Mean Field Graph Based D2D Collaboration and Offloading Pricing in Mobile Edge Computing" is accpeted by IEEE/ACM TON 2023
• Paper "Online Learning Aided Decentralized Multi-User Task Offloading for Mobile Edge Computing" is accpeted by IEEE TMC 2023
• Paper "Energy Cost Minimization in Wireless Rechargeable Sensor Networks" is accpeted by IEEE/ACM TON 2023
• Paper "FedMoS: Taming Client Drift in Federated Learning with Double Momentum and Adaptive Selection" is accpeted by INFOCOM 2023
• Paper "Decentralized Scheduling and Dynamic Pricing for Edge Computing: A Mean Field Game Approach" is accpeted by IEEE/ACM TON 2022
• Paper "Decentralized Task Offloading in Edge Computing: A Multi-User Multi-Armed Bandit Approach" is accpeted by INFOCOM 2022

Research Interests

• Machine learning system, LLM training and inference
• Distributed learning, Data Center Network
• Cloud-edge collaboration, Federated Learning
• Modeling, analysis and algorithm design for DNN training and inference (congestion control, flow control)

Journal Paper

• Mean Field Graph Based D2D Collaboration and Offloading Pricing in Mobile Edge Computing
  Xiong Wang, Jiancheng Ye, and John C.S. Lui
  IEEE/ACM Transactions on Networking


• Decentralized Scheduling and Dynamic Pricing for Edge Computing: A Mean Field Game Approach
  Xiong Wang, Jiancheng Ye, and John C.S. Lui
  IEEE/ACM Transactions on Networking


• Online Spatial Crowdsensing with Expertise-aware Truth Inference and Task Allocation
  Xiong Wang, Riheng Jia, Haiming Jin, Xiaohua Tian, Xiaoying Gan, and Xinbing Wang
  IEEE Journal on Selected Areas in Communications


• Online Learning Aided Decentralized Multi-User Task Offloading for Mobile Edge Computing
  Xiong Wang, Jiancheng Ye, and John C.S. Lui
  IEEE Transactions on Mobile Computing


• Location-Aware Crowdsensing: Dynamic Task Assignment and Truth Inference
  Xiong Wang, Riheng Jia, Xiaohua Tian, Xiaoying Gan, and Xinbing Wang
  IEEE Transactions on Mobile Computing


• Existence and Uniqueness of Mean Field Equilibrium in Continuous Bandit Game
  Xiong Wang, Yuqing Li, and Riheng Jia
  SCIENCE CHINA Information Sciences (SCIS)


• Crowdsensing Based Consensus Incident Report for Road Trafc Acquisition
  Xiong Wang, Jinbei Zhang, Xiaohua Tian, Xiaoying Gan, Yunfeng Guang, and Xinbing Wang
  IEEE Transactions on Intelligent Transportation Systems


• Incentivizing Crowdsensing with Location-Privacy Preserving
  Xiong Wang, Zhe Liu, Xiaohua Tian, Xiaoying Gan, Yunfeng Guang, and Xinbing Wang
  IEEE Transactions on Wireless Communications


• A Picture is Worth a Thousand Words: Share Your Real-Time View on the Road
  Xiong Wang, Lei Ding, Qi Wang, Jin Xie, Tianyi Wang, Xiaohua Tian, Yunfeng Guan, and Xinbing Wang
  IEEE Transactions on Vehicular Technology


• VDNet: an infrastructure-less UAV-assisted sparse VANET system with vehicle location prediction
  Xiong Wang, Luoyi Fu, Yang Zhang, Xiaoying Gan, and Xinbing Wang
  Wireless Communications and Mobile Computing


• Incentivize Multi-Class Crowd Labeling Under Budget Constraint
  Xiaoying Gan, Xiong Wang, Wenhao Niu, Gai Hang, Xiaohua Tian, Xinbing Wang, and Jun(Jim) Xu (First author is my co-advisor)
  IEEE Journal on Selected Areas in Communications


• Learning-aided Computation Offoading forTrusted Collaborative Mobile Edge Computing Constraint
  Yuqing Li, Xiong Wang, Xiaoying Gan, Haiming Jin, and Xinbing Wang
  IEEE Transactions on Mobile Computing


• Energy Cost Minimization in Wireless Rechargeable Sensor Networks
  Riheng, Jia; Jinhao, Wu, Xiong Wang, Jianfeng Lu, Feilong Lin, Zhonglong Zheng, Minglu Li
  IEEE/ACM Transactions on Networking


• FedUP: Bridging Fairness and Efficiency in Cross-Silo Federated Learning
  Jianfeng Lu, Haibo Liu, Riheng Jia, Zhao Zhang, Xiong Wang, Jiangtao Wang
  IEEE Transactions on Service Computing


• Incentivizing Proportional Fairness for Multi-Task Allocation in Crowdsensing
  Haibo Liu, Jianfeng Lu, Xiong Wang, Riheng Jia, Minglu Li
  IEEE Transactions on Service Computing

Conference Paper

(Underline is my supervised students, * means corresponding author)

• Runtime-Aware Pipeline for Vertical Federated Learning with Bounded Model Staleness
  Xiong Wang, Yi Zhang, Yuxin Chen, Yuqing Li, Chuanhu Ma, Bo Li, Hai Jin
  ACM KDD 2025


• FedMoS: Taming Client Drift in Federated Learning with Double Momentum and Adaptive Selection
  Xiong Wang, Yuxin Chen, Yuqing Li, Xiaofei Liao, Hai Jin, Bo Li
  IEEE Conference on Computer Communications (INFOCOM 2023)


• Decentralized Task Offloading in Edge Computing: A Multi-User Multi-Armed Bandit Approach
  Xiong Wang, Jiancheng Ye, John C. S. Lui
  IEEE Conference on Computer Communications(INFOCOM 2022)


• Dynamic Task Assignment in Crowdsensing with Location Awareness and Location Diversity
  Xiong Wang, Riheng Jia, Xiaohua Tian, and Xiaoying Gan
  IEEE Conference on Computer Communications (INFOCOM 2018)


• On Pipelined GCN with Communication-Efficient Sampling and Inclusion-Aware Caching
  Shulin Wang, Qiang Yu, Xiong Wang*, Yuqing Li, Hai Jin
  IEEE Conference on Computer Communications (INFOCOM 2024)


• Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning
  Nan Yan, Yuqing Li, Jing Chen, Xiong Wang, Jiannan Hong, Kun He, Wei Wang
  IEEE Conference on Computer Communications (INFOCOM 2024)


• Joint D2D Collaboration and Task Ofoading for Edge Computing: A Mean Field Graph Approach
  Xiong Wang, Jiancheng Ye, and John C.S. Lui
  IEEE/ACM International Symposium on Quality of Service (IWQoS 2021)


• Mean Field Equilibrium in Multi-Armed Bandit Game with Continuous Reward
  Xiong Wang, Riheng Jia
  International Joint Conference on Artificial Intelligence (IJCAI 2021)


• Crowdclustering Items into Overlapping Clusters
  You Wu, Xiong Wang, Zhe Yang, Xiaoying Gan, Xiaohua Tian, and Xinbing Wang
  IEEE International Conference on Communications (ICC 2016)


• Online Multi-class Learning with “Bandit” Feedback under a Confdence-Weighted Approach
  Chaoran Shi, Xiong Wang, Xiaohua Tian, Xiaoying Gan, and Xinbing Wang
  IEEE Global Communications Conference (GLOBECOM 2016)


• Lane-level vehicular localization utilizing smartphones
  Siyu Zhu, Xiong Wang, Zhehui Zhang, Xiaohua Tian, and Xinbing Wang
  IEEE Vehicular Technology Conference (VTC-Fall 2016)


• Transmission Rate Analysis in Multi-Level Hierarchical Coded Caching
  Guoqing Cai, Xiong Wang, Jinbei Zhang, Jingchao Wang, Xiaoying Gan, Xiaohua Tian, and Xinbing Wang
  IEEE Vehicular Technology Conference (VTC-Fall 2017)

Patent

• 车辆轨迹跟踪和车辆行为预测方法
  王雄, 丁磊, 王琪, 谢晋, 田晓华, 甘小莺, 管云峰, 王新兵


• 一种基于缓存编码的视频传输系统
  王雄, 蔡国庆, 郭浩, 甘小莺, 王新兵, 田晓华, 底欣, 田军


• 基于智能手机的车道级别地图生成和定位系统
  朱思宇, 王雄, 张哲慧, 孔超, 张阳, 田晓华, 甘小莺, 王新兵


• 基于TDMA 的弹性长距离无线传输系统的分布式接入方法
  王天翼, 王雄, 王新兵, 田晓华, 甘小莺, 底欣, 田军


• 传输文件的控制/管理方法、系统、可读存储介质及设备
  郭浩，王雄，蔡国庆，甘小莺，王新兵，田晓华

Services

• IEEE/ACM CCGrid 2024, Publicity Chair
• ISCAIS 2023, Committee Member
• IEEE/ACM Transactions on Networking, reviewer
• IEEE Transactions on Mobile Computing, reviewer
• IEEE Transactions on Vehicular Technology, reviewer
• IEEE Internet of Things Journal, reviewer

Awards

• Outstanding Doctoral Thesis Award of Chinese Institute of Electronics, 2019
• Outstanding Ph.D. Graduates of SJTU, 2019
• Post-Graduate National Scholarship, 2017 and 2018
• Honored Graduates of HUST, 2014