Xiaowen Gong
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Short Biography
I received my BEng degree from the Advanced Class in the Department of Electronics and Information Engineering at Huazhong University of Science and Technology, Wuhan, China, in Aug. 2008, and my MSc degree under the co-supervision of Prof. Chintha Tellambura and Prof. Sergiy Vorobyov in the Department of Electrical and Computer Engineering at the University of Alberta, Edmonton, AB, Canada, in July 2010, and my PhD degree under the supervision of Prof. Junshan Zhang in the School of Electrical, Computer and Energy Engineering at Arizona State University, Tempe, AZ, USA, in May 2015. From June 2015 to Dec. 2016, I was a postdoctoral researcher under the supervision of Prof. Ness Shroff in the Department of Electrical and Computer Engineering at The Ohio State University, Columbus, OH, USA. From Jan. 2017 to Sept. 2023, I was an Assistant Professor in the Department of Electrical and Computer Engineering (ECE) at Auburn University (AU), Auburn, AL, USA. Since Oct. 2023, I have been a Godbold Associate Professor in the Department of ECE at AU.
Contact
Email: xgong AT auburn DOT edu
RA positions available. I am constantly looking for self-motivated PhD students who are committed to research. If you are interested, please send me an email with your CV, transcripts, TOEFL and GRE scores. The application information of ECE at Auburn can be found at the school's website.
News
2023.9 I receive the Godbold Professorship from ECE at AU.
2023.7 I serve as Student Travel Grant Chair for IEEE INFOCOM 2024.
2023.7 Our paper “Anarchic federated learning with delayed gradient averaging” is accepted by ACM MobiHoc 2023.
2023.5 I am promoted as a tenured associate professor at AU, effective Oct. 2023.
2023.3 Our paper “Anarchic convex federated learning” is accepted by IEEE INFOCOM 2023 Workshop on Distributed Machine Learning and Fog Networks (FOGML).
2023.2 Our paper “Distributed policy gradient with heterogeneous computation for federated reinforcement learning” is accepted by CISS 2023.
2022.12 Our paper “Truthful incentive mechanism for federated learning with crowdsourced data labeling” is accepted by IEEE INFOCOM 2023.
2022.11 Our paper “Olive branch learning: A topology-aware federated learning framework for space-air-ground integrated network” is accepted by IEEE Trans. on Wireless Communications.
2022.9 I serve as Lead Guest Editor for IEEE Open Journal of the Communications Society Special Issue on “Distributed edge learning in wireless networks”. Please consider submitting your work.
2022.9 I serve as Student Travel Grant Chair for IEEE INFOCOM 2023.
2022.9 Our paper “When deep reinforcement learning meets federated learning: Intelligent multi-timescale resource management for multi-access edge computing in 5G ultra dense network” receives the 2022 IEEE Internet of Things Journal Best Paper Runner-Up Award.
2022.9 I am named as a Ginn Faculty Achievement Fellow by the Samuel Ginn College of Engineering at AU.
2022.6 Our paper “Delay-optimal distributed edge computation offloading with correlated computation and communication workloads” is accepted by IEEE Trans. on Mobile Computing.
2022.6 I receive the NSF CAREER Award for the project “CAREER: Towards efficient and fast federated learning in heterogeneous wireless edge networks” (news). Thanks NSF!
2022.4 Our senior design team completes a project on ML/AI based smart mobile robot (team members: Nick Belvin, Jack Glendinning, Yuantai Pan, Luoyuan Jiang, Christobel Nweke, Joshua Clayton).
2022.3 Our project “RET Site: Project-based learning for rural Alabama STEM middle school teachers in machine learning and robotics” is funded by NSF (news). Thanks NSF! You are welcome to apply for participation in our RET project.
2021.12 Our paper “Data poisoning attacks and defenses in dynamic crowdsourcing with online data quality learning” is accepted by IEEE Trans. on Mobile Computing.
2021.10 I give an invited talk to engineering undergraduate students for the Grand Challenges Scholars Program at AU (video).
2021.10 I receive Outstanding Organizing Committee Member Award from IEEE MASS’21.
2021.9 I serve as Student Conference Grant Chair for IEEE INFOCOM 2022.
2021.9 I give demos of a ML-based mobile robot and smartphone-based edge content sharing for K-6 graders in the GRAND Engineering Showcase at AU.
2021.8 Our papers “Quality-aware distributed computation and communication scheduling for fast convergent wireless federated learning” and “Quality-aware distributed computation for cost-effective non-convex and asynchronous wireless federated learning” are accepted by WiOpt’21.
2021.8 Our paper “Quality-aware incentive mechanisms under social influences in data crowdsourcing” is accepted by IEEE/ACM Trans. on Networking.
2021.8 Our project “Quality-aware distributed computation for wireless federated learning: Channel-aware user selection, mini-batch size adaptation, and scheduling” is funded by NSF. Thanks NSF!
2021.7 I serve as a Guest Editor for IEEE Trans. on Network Science and Engineering Special Issue on “The Nexus Between Edge Computing and AI for 6G Networks”.
2021.3 Yuxi Zhao receives IEEE INFOCOM’21 Student Travel Grant.
2021.1 Our paper “Quality-aware distributed computation and user selection for cost-effective federated learning” is accepted by IEEE INFOCOM’21 Workshop on Distributed Machine Learning and Fog Networks (FOGML).
2021.1 Our paper “EC-SAGINs: Edge computing-enhanced space-air-ground integrated networks for Internet of vehicles” is accepted by IEEE Internet of Things Journal.
2021.1 I serve as the Web Chair for IEEE International Conference on Mobile Ad-hoc and Smart Systems (MASS) 2021.
2020.12 I serve as an Associate Editor for IEEE Trans. on Wireless Communications.
2020.11 Our paper “Privacy-preserving incentive mechanisms for truthful data quality in data crowdsourcing” is accepted by IEEE Trans. on Mobile Computing.
2020.9 Our paper “When deep reinforcement learning meets federated learning: Intelligent multi-timescale resource management for multi-access edge computing in 5G ultra dense network” is accepted by IEEE Internet of Things Journal.
2020.8 Dongsheng Li and Ye Zhu join our group as PhD students. Welcome!
2020.7 I organize Virtual RoboLab Camp as an online program on July 13th-17th for 5th-8th grade students with the focus on robotics and computer science.
2020.5 Our senior design team completes a project on data-driven smart robot (team members: CJ Oliver, Mark Shannon, Logan Graham).
2020.4 Our paper “Intelligent cooperative edge computing in the Internet of Things” is accepted by IEEE Internet of Things Journal.
2019.12 Our paper “Delay-optimal distributed edge computing in wireless edge networks” is accepted by INFOCOM’20.
2019.12 Our senior design team completes a project on interactive VR/AR for teaching (team members: Julie Dixon, Ashleigh McAdams, Jared Moss, Brittain Poehler, Paul Clark).
2019.9 I organize Wireless Seminars in Fall 2019, a series of talks given by invited internal and external speakers at AU on recent research of wireless technologies.
2019.8 Our paper “Truthful mobile crowdsensing for strategic users with private data quality” is accepted by IEEE/ACM Trans. on Networking.
2019.5 Our senior design team completes a project on interactive real-time video and screen sharing based on edge computing (team members: Sawyer Clemmons, Kyle Ehlers, Jack Scott, Cody Adams, Connor Brewton).
2019.4 I co-organize a special session on “Intelligent Edge Computing and Networking” in ComComAp 2019.
2019.4 Our papers “Online data quality learning for quality-aware crowdsensing” and “Truthful quality-aware data crowdsensing for machine learning” are accepted by SECON’19.
2019.3 Our paper “Truthful data quality elicitation for quality-aware data crowdsourcing” is accepted by IEEE Trans. on Control of Network Systems.
2019.2 I give a talk on “Towards delay-optimal distributed edge computing in wireless networks” in ITA’19.
2018.12 Our senior design team completes a project on an interactive hand-writing system based on edge computing (team members: Jake Laney, Brodderick Rodriguez, Carson Taff, Elijah Hampton).
2018.11 I serve in TPC for WiOpt’19.
2018.10 I serve in TPC for MobiHoc’19.
2018.9 I serve in TPC for ICDCS’19.
2018.7 Our paper “Incentivizing quality-based data crowdsourcing” is accepted by IJCAI-ECAI’18 Workshop on GameData.
2018.3 Our paper “Incentivizing truthful data quality in quality-aware mobile data crowdsourcing” is accepted by MobiHoc’18.
2018.3 I serve in TPC for INFOCOM’19.