What I live for

Three passions, simple but overwhelmingly strong, have governed my life: the longing for love, the search for knowledge, and unbearable pity for the suffering of mankind.

Bertrand Russell



Research Intern

Lab of Pattern Recognition and Bioinformatics

Sep 2019 – Sep 2020 Shanghai
Work on subcellular location prediction of long non-coding RNAs. We employ some new deep learning method such as BERT and Transformer to design an end-to-end subcellular location classifier for lncRNAs, and try to find some undiscovered features through the interpretation of our neural networks. Advisor: Dr. Hong-Bin Shen and Dr. Xiaoyong Pan.

Research Intern

University of Florida

Jul 2019 – Aug 2019 Gainseville
Collabrated with Dr. Dapeng Wu, working on natural language processing. We improved Tree-LSTM to design a more powerful question-answering system based on similarity principle between parsing tree and parsing tree.

Research Intern

Institute of Pattern Recognition and Image Processing

Dec 2017 – Feb 2019 Shanghai
Focused on image processing, especially medical image processing. Contributed in a software which aims to obtain the karayotype from microscopic chromosome images. Advisor: Dr. Jie Yang

Recent Posts

Training LSTM is not a easy thing for beginner in this field. There are a lot of tricks in choosing the most appropriate …

Table of Contents Introduction Tasks of Natural Language Processing Phonology Phonetics Morphology Neural Networks for Morphology …



lncLocator v2.0

A predictor of the subcellular location of lncRNA based its sequence.

Recent & Upcoming Talks

Recent Publications

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In this study, we present an updated cell-line-specific predictor lncLocator 2.0, which trains an end-to-end deep model per cell line, …