Yujia Wang

I am a Ph.D. candidate in the College of Information Sciences and Technology, Penn State University, fortunate to be advised by Prof. Jinghui Chen. Previously, I obtained my M.S. in Applied Statistics in the Department of Statistics at the Univerisity of Michigan, and my B.S. in Statistics in the College of Mathematics at Sichuan University.

Email / Google Scholar / Linkedin

News

[Jul 2024] Our paper is accepted by TMLR : On the Data Heterogeneity in Adaptive Federated Learning.
[May 2024] Our paper is accepted by ICML 2024: FADAS: Towards Federated Adaptive Asynchronous Optimization.
[Mar 2024] I am honored to receive the SDM student travel award, 2024.
[Mar 2024] I just passed my comprehensive exams and became a PhD candidate.
[Jan 2024] Our paper is accepted by ICLR 2024: Tackling the Data Heterogeneity in Asynchronous Federated Learning with Cached Update Calibration.

Research

My broad research interests include theories and applications of large-scale machine learning and optimization. Currently, my research focuses on 1) efficient federated learning (FL) in heterogeneous networks, 2) addressing non-convex optimization methods within FL, and 3) developing generative methodologies in federated learning (FL), particularly Large-Language Models in FL, e.g., Parameter-Efficient Fine Tuning (PEFT) in FL, value alignment in FL.

	On the Data Heterogeneity in Adaptive Federated Learning Yujia Wang, Jinghui Chen TMLR
	FADAS: Towards Federated Adaptive Asynchronous Optimization Yujia Wang, Shiqiang Wang, Songtao Lu, Jinghui Chen ICML 2024
	XPrompt: Explaining Large Language Model’s Generation via Joint Prompt Attribution Yurui Chang, Bochuan Cao, Yujia Wang, Jinghui Chen, Lu Lin preprint
	Tackling the Data Heterogeneity in Asynchronous Federated Learning with Cached Update Calibration Yujia Wang, Yuanpu Cao, Jingcheng Wu, Ruoyu Chen, Jinghui Chen ICLR 2024
	Federated Learning with Projected Trajectory Regularization Tiejin Chen, Yuanpu Cao, Yujia Wang, Cho-Jui Hsieh, Jinghui Chen preprint
	Communication-Efficient Adaptive Federated Learning Yujia Wang, Lu Lin, Jinghui Chen ICML 2022
	Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization Yujia Wang, Lu Lin, Jinghui Chen AISTATS 2022

Awards & Honors

SDM Travel Award (2024)

IST Graduate Student Travel Award (2022)

ICML Travel Grant (2022)

Outstanding Project of Students’ Platform for Innovation and Entrepreneurship Training Program of Sichuan University (2018)

National Collegiate Mathematics Competition(Second Prize of Sichuan Province, 2017)

Several awards and scholarships, Sichuan University(2015-2019)

Academic Services

Reviewer for ICML 2022, 2024; NeurIPS 2024; ICLR 2025; AISTATS 2025; KDD 2022, 2024, 2025; BigData 2023; KDD PhD Consortium 2023; AAAI 2023, 2024, 2025; ECCV 2024; JAIR

Conference Volunteer for AISTATS2022; ICML2022

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