Ang Li

I am currently a Research Associate in Qualcomm AI Research. Before joining Qualcomm, I obtained Ph.D. from Duke University under the supervision of Professor Yiran Chen and Hai “Helen” Li in Duke CEI Lab. I will join the Department of Electrical and Computer Engineering at University of Maryland, College Park as a tenure-track assistant professor. My research interests lie in the intersection of machine learning and edge computing, with a focus on building large-scale networked and trustworthy intelligent systems to solve practical problems in a collaborative, scalable, secure, and ubiquitous manner.
Openings: I’m looking for highly motivated Ph.D. and master students, and research interns to join my group. If you are interested, please send an email to ang.li630@duke.edu with you CV and transcripts attached.
News
04/27/2023 | Our research paper titled “Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction” has been accepted for presentation at ICML 2023. |
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04/25/2023 | I am beyond thrilled to share that I have been selected as one of the two recipients for the ECE Department Outstanding Ph.D. Dissertation Award for the academic year 22-23 at Duke University! |
03/15/2023 | Our paper “AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving” has been accepted by MobiCom 2023! |
10/10/2022 | Our paper “FedSEA: A Semi-Asynchronous Federated Learning Framework for Extremely Heterogeneous Devices” has been accepted by SenSys 2022! |
10/01/2022 | Our paper “GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs” has been accepted by ICDM 2022! |