Mingchen Li

Researcher, Facebook

Joined

July 2019

Names

Mingchen Li

Emails

****@ucr.edu (Confirmed)

****@umich.edu (Confirmed)

****@meta.com (Confirmed)

Personal Links

Homepage

Google Scholar

Career & Education History

Researcher

Facebook (meta.com)

2024 – Present

PhD student

University of Michigan - Ann Arbor (umich.edu)

2023 – 2024

PhD student

University of California, Riverside (ucr.edu)

2018 – 2023

Advisors, Relations & Conflicts

PhD Advisor

Samet Oymak

2018 – Present

Expertise

deep learning

Present

optimization

Present

Publications

Algorithmic Oversight for Deceptive Reasoning
Ege Onur Taga, Mingchen Li, Yongqi Chen, Samet Oymak
- Red Teaming GenAI Workshop @ NeurIPS'24 Poster
- Readers: Everyone
On the Power of Convolution Augmented Transformer
Mingchen Li, Xuechen Zhang, Yixiao Huang, Samet Oymak
- TF2M 2024 Poster
- Readers: Everyone
Selective Attention: Enhancing Transformer through Principled Context Control
Xuechen Zhang, Xiangyu Chang, Mingchen Li, Amit Roy-Chowdhury, Jiasi Chen, Samet Oymak
- NeurIPS 2024 poster
- Readers: Everyone
Augmenting Federated Learning with Pretrained Transformers
Xuechen Zhang, Mingchen Li, Xiangyu Chang, Jiasi Chen, Amit Roy-Chowdhury, Ananda Suresh, Samet Oymak
- FL@FM-NeurIPS’23 Poster
- Readers: Everyone
Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective
Xuechen Zhang, Mingchen Li, Vala Vakilian, Jiasi Chen, Christos Thrampoulidis, Samet Oymak
- Published: 16 May 2023, Last Modified: 05 Sept 2023
- AutoML 2023 Workshop
- Readers: Everyone
Federated Multi-Sequence Stochastic Approximation with Local Hypergradient Estimation
Davoud Ataee Tarzanagh, Mingchen Li, Pranay Sharma, Samet Oymak
- Published: 01 Jan 2023, Last Modified: 05 Nov 2023
- CoRR 2023
- Readers: Everyone
FedYolo: Augmenting Federated Learning with Pretrained Transformers
Xuechen Zhang, Mingchen Li, Xiangyu Chang, Jiasi Chen, Amit K. Roy-Chowdhury, Ananda Theertha Suresh, Samet Oymak
- Published: 01 Jan 2023, Last Modified: 05 Nov 2023
- CoRR 2023
- Readers: Everyone
Provable and Efficient Continual Representation Learning
Yingcong Li, Mingchen Li, M. Salman Asif, Samet Oymak
- 2022 (modified: 16 May 2022)
- CoRR 2022
- Readers: Everyone
AutoBalance: Optimized Loss Functions for Imbalanced Data
Mingchen Li, Xuechen Zhang, Christos Thrampoulidis, Jiasi Chen, Samet Oymak
- 2022 (modified: 23 Apr 2023)
- CoRR 2022
- Readers: Everyone
FedNest: Federated Bilevel, Minimax, and Compositional Optimization
Davoud Ataee Tarzanagh, Mingchen Li, Christos Thrampoulidis, Samet Oymak
- 2022 (modified: 23 Apr 2023)
- ICML 2022
- Readers: Everyone

View all 25 publications

Co-Authors

View all 27 co-authors