Yang (Justin) Meng

About

I am a first-year PhD student in Computer Science at the University of Chicago, where I previously received my Bachelor's degree in Mathematics and Computer Science. I am advised by Prof. Yuxin Chen.

My research interests lie broadly in Continual Learning, Active Learning, and Reinforcement Learning, with applications to Scientific Domains and Large Language Models. I am interested in developing learning systems that continuously acquire, transfer, and refine knowledge through interaction and experience, with the long-term goal of building more capable, adaptive, and autonomous AI systems.

Feel free to reach out if you are interested in discussing related research or potential collaborations!

Publications & Preprints

Shared Actors Need Not Share Critics: Effects of Value Mismatch in Parallel Reinforcement Learning
Zhenya Liu, Yang Meng, Zhuokai Zhao, Xuefeng Liu^†, Yuxin Chen^†
Under review[paper]
Rethinking Transfer in Continual Learning: A Replay-Based Realisation
Yang Meng, Zhenya Liu, Zhuokai Zhao^†, Yuxin Chen^†
Under review[paper]
Active Feature Acquisition by Distilling an Oracle Teacher
Yang Meng, Zixin Ding, Robert L. Grossman, Yuxin Chen
Under review
World Model as High-Fidelity Simulators of Scientific Processes
Yang Meng, Sherry Yang
Under review
Accelerating PDE Surrogates via RL-Guided Mesh Optimization
Yang Meng, Ruoxi Jiang, Zhuokai Zhao, Chong Liu, Rebecca Willett, Yuxin Chen
AISTATS 2026[paper]
Personalized Incentive Alignment: Correcting Utility-Driven Selection Bias in A/B Tests
Jiachun Li, Yang Meng, David Simchi-Levi, Chonghuan Wang
AISTATS 2026
CRF-based Recognition of Invasive Fungal Infection Concepts in CHIFIR Clinical Reports
Yang Meng, Vlada Rozova, Karin Verspoor
ALTA 2023

Yang (Justin) Meng

About

Publications & Preprints

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