I’m now a PhD candidate (since 2021 fall) in City University of Hong Kong, with the research interests in machine learning and computational biology. I obtained the BS degree from Zhejiang University majoring in Physics and MS degree from University of California, San Diego (UCSD) majoring in ECE in 2019 and 2021 respectively.

Resume), updated in 2021-10

Academic background

• PhD candidate, City University of Hong Kong (CityU), 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(Chronologically)

TCR2vec: a deep representation learning framework of T-cell receptor sequence and function (bioRxiv) (code)
Yuepeng Jiang, Miaozhe Huo, Pingping Zhang, Yiping Zou, Shuai Cheng Li

TEINet: a deep learning framework for prediction of TCR-epitope binding specificity (Briefings in Bioinformatics 2023) (code)
Yuepeng Jiang, Miaozhe Huo, Shuai Cheng Li

Deep autoregressive generative models capture the intrinsics embedded in T-cell receptor repertoires (Briefings in Bioinformatics 2023) (code)
Yuepeng Jiang, Shuai Cheng Li

Adversarial VAE with Normalizing Flows for Multi-Dimensional Classification (PRCV 2022)
Wenbo Zhang, Yunhao Gou, Yuepeng Jiang, Yu Zhang

BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric Reasoning (ICCV 2021) (code)
Zhirui Dai, Yuepeng Jiang, Yi Li, Bo Liu, Antoni B. Chan, Nuno Vasconcelos

DrugOrchestra: Jointly predicting drug response, targets, and side effects via deep multi-task learning (RECOMB 2021) (code)
Yuepeng Jiang, Stefano Rensi, Sheng Wang, Russ B Altman