Past News
2024
May 2024: Our paper “Stereoscopic artificial compound eyes for spatiotemporal perception in three-dimensional space” is featured on the front page of both Science and Science Robotics.
May 2024: Our paper “FastGAS: Fast Graph-based Annotation Selection for In-Context Learning” is accepted to ACL 2024 Findings.
May 2024: I'm co-organizing two workshops in the upcoming KDD 2024 conference. Please consider submitting your works!
May 2024: Two papers accepted to ICML 2024. Congratulations Zihan!
Apr. 2024: Our project “Privacy-preserving Synthetic Data Generation” has been selected for funding by the CCI CATAPULT program. Joint effort with Prof. Tianhao Wang.
Apr. 2024: Received UVA Engineering Research Innovation Awards (RIA) on the project “Artificial Insect Eye for Spatiotemporal Perception and Cognition in 3D Space via Edge Computing”. Joint effort with Prof. Kyusang Lee.
Apr. 2024: PhD student Zihan Chen won the 2024 ECE Department Ann Lee Brown Rookie of the Year Graduate Research Award. Congratulations!
Apr. 2024: Our project titled “Integrating Federated Split Neural Network with Artificial Stereoscopic Compound Eyes for Optical Flow Sensing in 3D Space with Precision” is funded by NSF.
Jan. 2024: Wei's first paper has been accepted to AISTATS 2024 – Congratulations!
Jan. 2024: We are organizing The 3rd Workshop on Next Generation Spectrum Sharing Technology in conjunction with IEEE ICC 2024 in Denver, CO, USA. Please consider submitting your work.
2023
Dec. 2023: Zihan's first paper has been accepted to IEEE ICASSP 2024 – Congratulations!
Sept. 2023: Ph.D. student Xizixiang Wei received the 2023-24 Endowed Graduate Fellowship from the Engineering School. Congratulations!
Sept. 2023: One paper accepted to NeurIPS 2023. This is Li's first paper – Congratulations!
Aug. 2023: I will serve as an Area Chair for AISTATS 2024.
July 2023: Awarded NSF CPS Medium project titled “Learning through the Air: Cross-Layer UAV Orchestration for Online Federated Optimization”.
July 2023: After a three-year hiatus, DySPAN is coming back! Please consider submitting your work.
July 2023: Ph.D. student Xizixiang Wei received the ECE Department McVey Fellowship for the 2023-2024 academic year. Congratulations!
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.