Hi, I’m Yuepeng Jiang. I will be joining the Department of Pathology at Yale School of Medicine as a Postdoctoral Researcher. My research focuses on developing computational tools for studying T/B-cell immunity and cancer immunology. I earned my Ph.D. in Computer Science from the City University of Hong Kong, and hold a B.S. in Physics from Zhejiang University as well as an M.S. in Electrical and Computer Engineering from the University of California, San Diego.
A little bit of myself: I grew up in Shenzhen, a vibrant city in China, and I currently live in both Shenzhen and Hong Kong. I’m a life-long lover of the video game “Fantasy Westward Journey” (梦幻西游). If you also play this game and are at level 129, feel free to hit me up!
Academic background
- PhD, City University of Hong Kong (CityUHK), 2021-2025, Computer Science
- Master, University of California, San Diego (UCSD), 2019-2021, Electrical and Computer Engineering
- Bachelor, Zhejiang University (ZJU), 2015-2019, Physics
Publications (preprints)
Mitigating Scale Imbalance and Conflicting Gradients in Deep Multi-Task Learning
Yuepeng Jiang, Yunhao Gou, Wenbo Zhang, Xuehao Wang, Yu Zhang, Qiang Yang
Frontiers of Computer Science, 2026 (in press)
Deep learning-based prediction of the selection factors for quantifying selection in immune receptor repertoires
Yuepeng Jiang, Pingping Zhang, Miaozhe Huo, Shuai Cheng Li
Nature Machine Intelligence, 2025
A comprehensive benchmarking for evaluating TCR embeddings in modeling TCR-epitope interactions
Xikang Feng, Miaozhe Huo, He Li, Yongze Yang, Yuepeng Jiang, Liang He, Shuai Cheng Li
Briefings in Bioinformatics, 2025
Unlocking T-cell receptor–epitope insights with structural analysis
Miaozhe Huo, Yuepeng Jiang, Shuai Cheng Li
Nature Computational Science, 2024 (News & Views)
TCR2vec: a deep representation learning framework of T-cell receptor sequence and function (bioRxiv, 2023)
Yuepeng Jiang, Miaozhe Huo, Pingping Zhang, Yiping Zou, Shuai Cheng Li
TEINet: a deep learning framework for prediction of TCR-epitope binding specificity
Yuepeng Jiang, Miaozhe Huo, Shuai Cheng Li
Briefings in Bioinformatics, 2023
Deep autoregressive generative models capture the intrinsics embedded in T-cell receptor repertoires
Yuepeng Jiang, Shuai Cheng Li
Briefings in Bioinformatics, 2023
Adversarial VAE with Normalizing Flows for Multi-Dimensional Classification
Wenbo Zhang, Yunhao Gou, Yuepeng Jiang, Yu Zhang
Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2022
BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric Reasoning
Zhirui Dai, Yuepeng Jiang, Yi Li, Bo Liu, Antoni B. Chan, Nuno Vasconcelos
International Conference on Computer Vision (ICCV), 2021
DrugOrchestra: Jointly predicting drug response, targets, and side effects via deep multi-task learning
Yuepeng Jiang, Stefano Rensi, Sheng Wang, Russ B Altman
Research in Computational Molecular Biology (RECOMB), 2021