Hi, I’m Yuepeng Jiang. 我即将以博士后研究员的身份加入耶鲁大学医学院病理学系。我的研究主要致力于开发用于研究 T/B 细胞免疫和癌症免疫学的计算工具。我在香港城市大学获得计算机科学博士学位，并分别于浙江大学获得物理学学士学位、在加州大学圣地亚哥分校（UCSD）获得电气与计算机工程硕士学位。
关于我自己的一点小介绍：我在中国充满活力的城市——深圳长大，目前生活在深圳和香港两地。我是《梦幻西游》的长期忠实玩家。如果你也玩这款游戏，并且等级是129级，不妨联系我一起玩!
学术背景
- 博士, 香港城市大学（CityUHK）, 2021-2025, 计算机科学
- 硕士, 加利福尼亚大学圣迭戈分校（UCSD）, 2019-2021, 电子与计算机工程
- 本科, 浙江大学 (ZJU), 2015-2019, 物理学
发表论文 (预印本)
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