I am a PhD candidate in the department of Electrical Engineering at the University of California, Irvine, advised by Prof. Athina Markopoulou. I received my B.E. degree in Electrical Engineering from Northeastern University (China) in 2019, my M.Sc. degree in Electrical Engineering from University of Southern California in 2021. I was a visiting student at City University of Hong Kong in 2018, supervised by Prof. Linqi Song.

My research interests are in the areas of agentic AI, privacy-preserving machine learning, federated learning, data valuation and model efficiency.

Curriculum Vitae

• Download CV (Google Drive)

Work Experience

• Syntiant Corp. — Engineering Intern (2022.7 – 2022.9)

• Ericsson Inc. — Data Science Intern (2020.6 – 2021.1)

• UC Irvine EECS Department — Teaching Assistant (Winter and Spring 2024; Winter and Spring 2025)

For detailed Work experience, please visit the Experience

Research Highlights

ReTalk Agent: Multilingual Video Dubbing

AI agent pipeline that transforms input videos into multilingual versions while preserving speaker identity.

LLM-Powered Voice Assistant with Voice Cloning

Interactive voice assistant leveraging LLMs for natural conversations with personalized synthetic voice.

Valuing Solo and Synergy in Federated Learning (Under Submission)

DuoShapley framework that efficiently balances individual and collaborative user contributions in FL.

Maverick-Aware Shapley Valuation for Client Selection in FL (📄 Read Paper)

Framework quantifying client contributions under data heterogeneity, addressing undervaluation of rare classes.

PriPrune: Quantifying and Preserving Privacy in Pruned FL (📄 Read Paper)

Privacy-aware pruning algorithm with personalized defense masks balancing privacy and model performance.

Location Leakage in Federated Signal Maps (📄 Read Paper)

Analysis of gradient leakage attacks on federated signal mapping with defense strategies.

For detailed research experience and complete publication list, please visit the Experience and Publications pages.