About me
I am an incoming Assistant Professor in the Department of Electrical and Computer Engineering at the University of Rochester. I did my Ph.D. at Rensselaer Polytechnic Institute (RPI), fortunate to be advised by Prof. Tianyi Chen. I obtained my M.S. in Electrical Engineering from RPI in 2021, and my B.S. from Huazhong University of Science and Technology (HUST) in 2017. My broad research interests include machine learning, optimization, and statistical signal processing. My current research focuses on the theory and applications of multi-objective learning and meta-learning.
News
May 2025: Our paper is accepted by ICML 2025 as splotlight.
Efficient First-Order Optimization on the Pareto Set for Multi-Objective Learning under Preference Guidance
Mar 2025: I have successfully defended my thesis. Sincere thanks to my committee members for their guidance and support.
Dec 2024: Our paper is accepted by IEEE Transactions on Audio, Speech and Language Processing.
Bilevel Joint Unsupervised and Supervised Training for Automatic Speech Recognition
Oct 2024: Honored and grateful to receive the IEEE Signal Processing Society (SPS) scholarship.
Sep 2024: Our paper is accepted by NeurIPS 2024.
FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning
May 2024: Our paper is accepted by JMLR.
Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance
Jul 2024: I co-organize a special session on "Advances in Optimization for Machine Learning and Signal Processing" at IEEE SAM 2024 Workshop with Prof. Tianyi Chen and Prof. Kaiyi Ji.
Jun 2024: Our paper is accepted by Interspeech 2024.
M2ASR: Multilingual Multi-task Automatic Speech Recognition via Multi-objective Optimization
Apr 2024: I present a tutorial at ICASSP 2024 together with Prof. Tianyi Chen and Dr. Xiaodong Cui.
Feb 2024: I present a tutorial at AAAI 2024 together with Prof. Tianyi Chen and Prof. Zhuoran Yang.
Feb 2024: I am invited to give a talk at the University of Rochester ECE department seminar.
Dec 2023: Our paper is accepted by ICASSP 2024.
Variance Reduction Can Improve Trade-off in Multi-Objective Learning
Dec 2023: Our NeurIPS23 paper is accepted by CPAL Spotlight Track.
Nov 2023: I am honored to receive the IEEE Signal Processing Society (SPS) scholarship.
Oct 2023: I am honored to receive the Rensselaer's Founders Award of Excellence.
Sep 2023: Our paper is accepted by NeurIPS 2023. Check out the preprint:
Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance
I will present this work at:
- MoDL Meeting, New York City, NY - EaGL Workshop, Rochester, NY
- Asilomar, Pacific Grove, CA - NeurIPS, New Orleans, LA
Looking forward to meeting you there!
Feb 2023: Our paper is accepted by ICASSP 2023
A Nested Ensemble Method to Bilevel Machine Learning
Feb 2023: I am honored to be selected as Top Reviewer for AISTATS 2023.
Jan 2023: Our monograph with Prof. Osvaldo Simeone's group is published in Foundations and Trends in Signal Processing
Learning with Limited Samples -- Meta-Learning and Applications to Communication Systems
Sep 2022: Our paper is accepted by NeurIPS 2022
Understanding Benign Overfitting in Gradient-Based Meta Learning
May 2022: Our paper is accepted by ICML 2022
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning
Jan 2022: Our paper is accepted by AISTATS 2022
Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably?
Dec 2021: I am honored to receive the inaugural Belsky Award for Computational Sciences and Engineering from RPI.