Jia (Kevin) Liu,

Associate Professor of Electrical and Computer Engineering, The Ohio State University

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Professional Activities

Editorial Board

    • Associate Editor for IEEE Transactions on Cognitive Communications and Networking, January 2023 to Present.
    • Guest Editor for IEEE Network Magazine: Special Issue on Interplay between Machine Learning and Networking Systems, July 2023.

Chair of Conferences, Workshops, or Seminar Series

    • Co-Chair, WiOpt 2023 Workshop on Machine Learning in Wireless Communications, Aug. 24-27, 2023.
    • Chair, OSU ECE Department Seminar Series, Autumn 2022 -- Spring 2023.
    • Co-Chair, The 4th Buffalo Day for 5G and Wireless Internet of Things, November 2022.

Conference Technical Program Committee (TPC) Member

    • ACL (2024)
    • IWQoS (2024)
    • ICDCS (2024)
    • The 7th Age and Semantics of Information Workshop (ASoI), in conjunction with IEEE INFOCOM 2024.
    • ICML (2022--Present)
    • ICLR (2021--Present)
    • NeurIPS (2021--2022)
    • ICML Workshop on Federated Learning for User Privacy and Data Confidentiality 2021 (FL-ICML'21)
    • ACM SIGMETRICS 2021--2022
    • IEEE INFOCOM (2010--Present)
    • ACM MobiHoc (2017--Present)
    • IEEE/IFIP WiOpt (2018--2021)
    • The Age of Information Workshop, in conjunction with IEEE INFOCOM (2020-2021).
    • International Teletraffic Congress (ITC) 2017
    • IEEE ICCCN (2013, 2018)
    • IEEE WCNC (2013, 2014)
    • IEEE CNS (2013)
    • IEEE WoWMoM (2023)

Conference Submission and Publication Chair

    • ACM MobiHoc 2020
    • IEEE/IFIP WiOpt 2021

Conference Publicity Chair

    • IEEE/IFIP WiOpt 2023

Conference Workshop Chairs

    • IEEE/IFIP WiOpt 2023
    • ACM MobiHoc 2021

Conference Session Chairs

    • ACM SIGMETRICS 2021, Session 1A: (Learning) Bandits and Friends
    • IEEE INFOCOM 2017, Session on Scheduling for Data Processing

Reviewer / Panelist for NSF

    • CISE (2017, 2018, 2019, 2020, 2022)
    • ENG (2022)

Reviewer for Journals

    • IEEE Transaction on Information Theory
    • IEEE Journal on Selected Areas in Communications
    • IEEE/ACM Transaction on Networking
    • IEEE Transaction on Mobile Computing
    • IEEE Transaction on Communications
    • IEEE Transaction on Wireless Communications
    • IEEE Transaction on Vehicular Technologies
    • IEEE Transaction on Computers
    • EURASIP Journal on Advances in Signal Processing
    • ACM/Springer Journal of Wireless Networks

Reviewer for Conferences

    • NeurIPS
    • ICLR
    • AISTATS
    • IEEE INFOCOM
    • ACM MobiHoc
    • IEEE ICC (2007--2010)
    • IEEE GLOBECOM (2004, 2009)
    • IEEE WCNC (2005, 2007)
    • IEEE SECON (2005)
    • IEEE VTC (2004, 2005)

Affiliations/Memberships

    • IEEE Senior Member
    • ACM Member
    • Member of SIAM
    • Member of Tau Beta Pi
    • Member of Eta Kappa Nu (HKN)

Public Media

    • "Kevin Liu - The Future of Machine Learning with Creative AI and Science": Interview with the Conversations on Applied AI Podcast, which is released at this link and can also be found on most major media platforms, including Apple Podcasts, YouTube, Spotify, Amazon Music, etc.

Invited Talks / Tutorials / Lectures

    • "Federated Multi-Objective Learning," Joint AI-EDGE and OSU ECE Department Seminar, 1/25/2023.
    • "Federated Multi-Objective Learning," IFIP Performance 2023 Workshop on Intelligent Edge Computing for Data-Rich Applications (iEdge), Northwestern University, Evanston, IL, 11/17/2023.
    • "Mitigating Data and System Heterogeneity and Taming Fat-Tailed Noise in Federated Learning," Seminar at IBM T. J. Watson Research Center, 7/13/2023.
    • "Perserverance Is All You Need," Presentation at the Panel of ``Navigating the Challenges of an Early Career in Academia,''ACSIC 2023, 6/24/2023.
    • "INTERACT: Achieving Low Sample and Communication Complexities in Decentralized Bilevel Learning over Networks," SIAM OP'23 Symposium on Bilevel Optimization and Minimax Problems: Theory, Algorithms, and Applications, 6/1/2023.
    • "Mitigating Data and System Heterogeneity and Taming Fat-Tailed Noise in Federated Learning," Joint AI-EDGE and OSU ECE Department Seminar, 1/12/2023.
    • "Mitigating Data and System Heterogeneity in Federated Learning," 2022 Google Workshop on Federated Learning and Analytics, 11/10/2022.
    • "Mitigating Data and System Heterogeneity and Taming Fat-Tailed Noise in Federated Learning," MINDS and CIS Seminar Series, Johns Hopkins University, 10/4/2022.
    • "Mitigating Data and System Heterogeneity and Achieving Linear Convergence Speedup in Federated Learning," Department of Electrical Engineering, University at Buffalo, 8/12/2022.
    • "Mitigating Data and System Heterogeneity and Achieving Linear Convergence Speedup in Federated Learning," Department of Electrical and Computer Engineering, Rensselaer Polytechnic Institute, 8/3/2022.
    • "Optimization for Deep Learning," OSU TDAI Deep Learning Summer School Tutorial, 6/1/2022 [Slides] [Video].
    • "Incentivized Bandit Learning under Self-Reinforcing User Preferences for Online Recommender Systems," Department of Computer Science, Iowa State University, 4/28/2022.
    • "Computing-Networking Co-Design for Decentralized Learning over Wireless Computing Networks," The 3rd Buffalo Day for 5G and Wireless Internet of Things, Virtual Event, 11/19/2021.
    • "Incentivized Bandit Learning under Self-Reinforcing User Preferences for Online Recommender Systems?" Amazon Tech Talk, Virtual Event, 09/21/2021.
    • "Can We Achieve Fresh Information with Selfish Users in Crowd-Learning?" Dept. of Computer Science, Texas Tech University, 3/2/2021.
    • "Achieving Optimal Sample Complexity for Active Preference Learning under Noisy Environments," Amazon Tech Talk, Virtual Event, 10/26/2020.
    • "Elements of a Competitive NSF CAREER Proposal: A Personal Reflection," NSF NeTS CAREER Webinar for Aspiring PIs, 6/17/2020 [Slides] [Video].
    • "Communication-Efficient Network-Consensus Optimization with Differential-Coded Compressors," SIAM MDS 2020 Virtual Minisympoisum on Deep Learning via Optimal Control in Data Space, 6/18/2020.
    • "Communication-Efficient Network-Consensus Optimization with Differential-Coded Compressors," CAM-MDL Joint Seminar Series, Dept. of Mathematics, Iowa State University, 2/17/2020.
    • "Can We Achieve Fresh Information with Selfish Users in Crowd-Learning?" TADS Lunch-n-Learn Series, Iowa State University, 2/13/2020.
    • "Communication-Efficient Network-Consensus Optimization with Differential-Coded Compressors," The Chinese University of Hong Kong (Shenzhen), 1/9/2020.
    • "Communication-Efficient Network-Consensus Optimization with Differential-Coded Compressors," Sun Yat-Sen University, 1/7/2020.
    • "Can We Achieve Fresh Information with Selfish Users in Crowd-Learning?" International Workshop on Intelligence Network and Edge Computing, Sun Yat-Sen University, 8/14/2019.
    • "Can We Achieve Fresh Information with Selfish Users in Crowd-Learning?" Google Tech Talk, Mountain View, California, 11/20/2019.
    • "Exploring k out of Top ρ Fraction of Arms in Stochastic Bandits," Institute for Interdisciplinary Information Sciences (IIIS) -- Haihua Frontier Seminar Series, Tsinghua University, 8/12/2019 [Press].
    • "Can We Achieve Fresh Information with Selfish Users in Crowd-Learning?" John Hopcroft Center for Computer Science, Shanghai Jiao Tong University, 7/2/2019.
    • "Combinatorial Bandits with Fairness Constraints," Annual ShanghaiTech Symposium on Information Science and Technology (ASSIST) 2019, ShanghaiTech University, 7/2/2019.
    • "On Convergence of Asynchronous Stochastic Gradient Descent with Unbounded Delay in Non-Convex Learning," School of Electronics and Information Engineering, South China University of Technology, Guangzhou, China, 5/15/2018.
    • "On Convergence of Asynchronous Stochastic Gradient Descent with Unbounded Delay in Non-Convex Learning," School of Data and Computer Science, Sun Yet-Sen University, Guangzhou, China, 5/14/2018.
    • "Momentum-Based Resource Control and Optimization at the Edge of IoT," EFC-IoT and RAWNET joint keynote presentation, Shanghai Jiaotong University, Shanghai, China, 5/11/2018.
    • "On Convergence of Asynchronous Stochastic Gradient Descent with Unbounded Delay in Non-Convex Learning," School of Computer Science and Technology, University of Science and Technology of China, Hefei, China, 5/10/2018.
    • "Dynamic Resource Control and Optimization for Data-Intensive Network Systems," Dept. of CS, University of Victoria, 7/20/2017
    • "Dynamic Resource Control and Optimization for Data-Intensive Wireless Network Systems," Dept. of ECE, Purdue University, 6/14/2017
    • "Dynamic Resource Control and Optimization for Data-Intensive Network Systems," Dept. of EECS, Northwestern University, 6/13/2017
    • "Gradient Descent & Co.: From Machine Learning to Wireless Networks Utility Maximization," Dept. of ECE, The Ohio State University, 4/19/2017
    • "Achieving Low-Delay and Fast-Convergence in Data-Intensive Mobile Computing Systems," Dept. of CS, Iowa State University, 4/4/2017
    • "Dynamic Resource Control and Optimization for Data-Intensive Network Systems," Dept. of ECE, Mississippi State University, 3/28/2017
    • "Dynamic Resource Control and Optimization for Data-Intensive Network Systems," Dept. of CS, Tulane University, 3/21/2017
    • "Dynamic Resource Control and Optimization for Data-Intensive Network Systems," Dept. of EECS, Wichita State University, 3/15/2017
    • "Dynamic Resource Control and Optimization for Data-Intensive Network Systems," Dept. of CS, Virginia Commonwealth University, 3/10/2017
    • "A Momentum-Based Approach for Defending Denial-of-Service Attacks from Networked Things," Dept. of SIE, University of Arizona, 3/6/2017
    • "Dynamic Resource Control and Optimization for Stochastic Network Systems," Dept. of CS, University of North Carolina at Charlotte, 3/2/2017
    • "Dynamic Resource Control and Optimization for Stochastic Networked Systems," Dept. of EECS, University of Tennessee, Knoxville, 2/22/2017
    • "Dynamic Resource Control and Optimization for Stochastic Networked Systems," Dept. of ECE, North Carolina State University, 2/10/2017
    • "Dynamic Resource Control and Optimization for Next-Generation Wireless Communications," Dept. of EECS, University of Kansas, 12/02/2016
    • "Achieving Low-Delay and Fast-Convergence in Network Systems Optimization: A Momentum-Based Approach," Dept. of ECE, Texas A&M University, 10/06/2016
    • "On the Impacts of Hybrid Beamforming on Millimeter-Wave Cellular Network Optimization," Air Froce Research Lab, Information Institute, 08/11/2016
    • "Achieving Low-Delay and Fast-Convergence in Network Systems Optimization: A Momentum-Based Approach," Dept. of ECE, Rensselaer Polytechnic Institute, 08/05/2016
    • "Dynamic Resource Control and Optimization for Stochastic Networked Systems," Dept. of CS, University of Delaware, 02/26/2016
    • "Dynamic Resource Control and Optimization for Airborne Networks," Air Force Research Lab, Information Institute, 08/25/2015
    • "Fast Converging Distributed Optimization for Networked Systems: A Second-Order Approach," IIIS, Tsinghua University, 05/11/2015
"CIF: Small: Taming Convergence and Delay in Stochastic Network Optimization with Hessian Information," CCF-1618318, 07/2016 -- 08/2019, Amount: $317,896 (So).
University Services

Departmental Committees

    • Graduate Committee (Fall 2017 -- Spring 2020), Dept. of Computer Science, Iowa State University
    • Equipment Committee (Fall 2017 -- Spring 2020), Dept. of Computer Science, Iowa State University
    • Member, 2021-2022 ECE Department Seminar Series Committee, Dept. of Electrical and Computer Engineering, The Ohio State University
    • Chair, 2022-2023 ECE Department Seminar Series Committee, Dept. of Electrical and Computer Engineering, The Ohio State University

University Committees

    • Registration Chair, 2020 Midwest Big Data Summer School, Iowa State University
    • Registration Chair, 2019 Midwest Big Data Summer School, Iowa State University
    • Faculty Search Committee Member, Fall 2019, Department of Statistics, Iowa State University
    • Member, ICDT Director Search Committee, College of Engineering, The Ohio State University

Graduate Advising Committees (as of June 2023)

    • Ph.D. (as major professor): 10
    • M.S. (as major professor): 4
    • Ph.D. (as committee member): 35
    • M.S. (as committee member): 5
 
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