Past News

2023

• May 2023: We are organizing the 9th SIGKDD Workshop on Mining and Learning from Time Series. The CFP can be found here. Please consider submitting your work.

• Apr. 2023: Two papers accepted to ICML 2023 and three papers accepted to ISIT 2023.

• Apr. 2023: Ph.D. student Chengshuai Shi received the 2023 Charles L. Brown Department of Electrical and Computer Engineering’s Louis T Rader Graduate Research Award. Congratulations!

• Jan. 2023: New Ph.D. student Zihan Chen (BS and MS, USTC) joined the group. Zihan is co-advised with Prof. Jundong Li. Welcome!

2022

• Nov. 2022: Ph.D. student Chengshuai Shi received the 2022-23 Endowed Graduate Fellowship from the Engineering School. Congratulations!

• Oct. 2022: I will serve as an Area Chair for AISTATS 2023.

• Sept. 2022: I am appointed as an Associate Editor of IEEE Transactions on Machine Learning in Communications and Networking.

• Sept. 2022: We welcome new Ph.D. student Wei Shen (BS, USTC) to join our group!

• Aug. 2022: I was awarded a CCI CVN Innovation and Commercialization Grant to develop our FL platform.

• Aug. 2022: Our research group participated in two outreach programs over the summer.

  • We hosted the Starr Hill Pathways Program students, who are rising 7th graders through high school in the Charlottesville area, for lab tours that was featured in UVA Today.

  • UVA SEAS Center for Diversity in Engineering organized the Summer Bridge Program, in which we presented machine learning, communications, and security to the participating students. See story.

• Aug. 2022: Ph.D. students returned to school from summer internships: Chengshuai Shi with Bloomberg, Kun Yang with Intel Labs, and Yujia Mu with Dropbox.

• June 2022: I am appointed as an Associate Editor of IEEE Transactions on Communications.

• June 2022: Ph.D. student Yujia Mu received the Malathi Veeraraghavan Legacy Fellowship from the ECE Department, one of two recipients this year. Read the news. Congratulations!

• June 2022: Ph.D. student Chengshuai Shi received the McVey Fellowship from the ECE Department. Congratulations!

• May 2022: We have one paper accepted to ICML 2022.

• May 2022: I received the 2022 ECE Department Faculty Research Award.

• May 2022: Ph.D. student Xizixiang Wei received the ECE Department Ann Lee Brown Rookie of the Year Graduate Research Award. Congratulations!

• Apr. 2022: I received the NSF CAREER award titled “CAREER: Towards a Communication Foundation for Distributed and Decentralized Machine Learning”. Here is the UVA news.

• Apr. 2022: We are organizing the 8th SIGKDD Workshop on Mining and Learning from Time Series. The CFP can be found here. Please consider submitting your work.

2021

• Sept. 2021: SpectrumX is selected as an NSF Spectrum Innovation Center.

• July 2021: We are organizing the 2nd Workshop on Edge Computing and Communications (EdgeComm), in conjunction of the Sixth ACM/IEEE Symposium on Edge Computing (SEC 2021). The CFP is here. Please consider submitting your work.

• June 2021: Ph.D. student Chengshuai Shi received the Bloomberg Data Science Ph.D. Fellowship for 2021-2022. Congratulations!

• June 2021: I received the Best Paper Award at 2021 IEEE International Conference on Communications, for our work on wireless federated learning.

• May 2021: We are organizing a special issue “Energy Efficient Distributed AI over Wireless Networks” on IEEE Transactions on Green Communications and Networking (TGCN). The submission deadline is Sept. 15, 2021. Please consider submitting your work.

• Mar. 2021: PI of a UVa subcontract from VT-ARC, which develops “5G-enabled Smart Warehouse” at the Marine Corps Logistics Base in Albany, Georgia.

• Mar. 2021: Co-PI on a new project “SmallSat Cybersecurity and Resiliency” funded by CCI. UVa PI: Prof. Chris Goyne (MAE).

• Mar. 2021: Received 2021 Air Force Research Lab Summer Faculty Fellowship at Air Force Research Lab (AFRL).

• Feb. 2021: Patent granted by USPTO, “Method and device for decoding a signal, and memory device,” 10,924,304.

• Jan. 2021: Together with Cem Tekin (Bilkent University) and Mihaela van der Schaar (University of Cambridge), I will deliver a tutorial “Online Learning for Wireless Communications: Theory, Algorithms, and Applications” at IEEE International Conference on Communications 2021.

• Jan. 2021: Two projects are funded by Commonwealth Cyber Initiative (CCI) Cybersecurity Research Collaboration Grants

  • PI, “Open-source, Multi-band, Multi-dimensional Spectrum Access system with Interfaces to Wireless Testbeds and Network Simulation Software”, Co-PI: Carl Dietrich (Virginia Tech).

  • Co-PI, “Secure and Privacy Preserving 5G Network for Connected Vehicles”, PI: Sachin Shetty (Old Dominion University); other co-PIs: Duminda Wijesekera and Kai Zeng (George Mason University); Tan Le (Old Dominion University); Jeffrey Reed (Virginia Tech).

2020

• Sept. 2020: I am serving on

  • Senior Program Committee, the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021),

  • Program Committee/Reviewer, the 24th International Conference on Artificial Intelligence and Statistics (AISTATS 2021),

  • Program Committee/Reviewer, the 35th AAAI Conference on Artificial Intelligence (AAAI 2021).

• Aug. 2020: Proposal entitled “Learning-Efficient Spectrum Access for No-Sensing Devices in Shared Spectrum” is funded through the NSF Spectrum and Wireless Innovation enabled by Future Technologies (SWIFT) program.

• Aug. 2020: Proposal entitled “Towards a Resource Rationing Framework for Wireless Federated Learning” is funded through the NSF ECCS core program.

• Aug. 2020: Four PhD students joining the group! Welcome Xizixiang Wei (MS, Fudan University), Li Fan (BS, USTC), Kun Yang (MS, Texas A&M University), and Yujia Mu (MS, UVA).

• July 2020: Our position paper Machine learning for clinical trials in the era of COVID-19 has been accepted to Statistics in Biopharmaceutical Research. It is a joint work with UCLA, University of Cambridge, AstraZeneca, and Novartis.

• June 2020: Our paper, Learning for Dose Allocation in Adaptive Clinical Trials with Safety Constraints, has been accepted to the 37th International Conference on Machine Learning (ICML 2020). It is a joint work with Z. Wang (Penn), S. Villa (Cambridge), and M. van der Schaar (Cambridge & UCLA).

• May 2020: Proposal entitled “Dino-RL: A Domain Knowledge Enriched Reinforcement Learning Framework for Wireless Network Optimization” is funded through the NSF/Intel Partnership on Machine Learning for Wireless Networking Systems (MLWiNS) program. See the Intel, UVA Engineering School, and AAAS EurekAlert! news announcements, respectively.

• Feb. 2020: I am organizing a special session “Machine Learning for Advanced Wireless Communications” in 2020 Asilomar Conference on Signals, Systems, and Computers.

• Feb. 2020: I have been appointed as the Wireless Communications Symposium Co-Chair of IEEE Global Communications Conference (Globecom 2021).

• Jan. 2020: Three papers are accepted to the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS 2020).

  • Contextual Constrained Learning for Dose-Finding Clinical Trials, with H. Lee, J. Jordon, and M. van der Schaar.

  • Decentralized Multi-player Multi-armed Bandits with No Collision Information, with C. Shi, W. Xiong, and J. Yang.

  • Stochastic Linear Contextual Bandits with Diverse Contexts, with W. Wu and J. Yang.