Selected Skills












Native Chinese/Fluent English


January 2019 – March 2019
Chengdu, China

Research on the QA problem in NLP modeling based on meta-learning

Second Author

We propose QA problem model based on meta-learning with small samples and simple structure. Participate in the research of a meta-learning-based efficient question-and-answer model that yields better or competitive results compared with the MemNN, EntNet and MemN2N model on the 1k bAbI dataset and the scaled down CBT dataset. The paper has been submitted to the conference ACL2019.
October 2018 – February 2019
Chengdu, China

Research on the associative memory model for cognitive development of robots

First Author

Lead the research of bidirectional associative memory (BAM) model based on spiking neural networks, and build the system for vision-action semantic associative learning of NAO robot. The paper has been submitted to the journal Neural Networks.
June 2018 – September 2018
Chengdu, China

The second national collegiate contest for brain-inspired computing

Team Member

The language cognitive model based on Spiking Neural Network and Entity Network is proposed, and trying to solve the QA problem in NLP with SNN. Finally we win the second prize in the preliminary contest. (32400)
April 2018 – June 2018
Chengdu, China

Research on gesture recognition method based on SNN

Second Author

We propose the gesture recognition method based on spiking neural networks, the paper “A Gesture Recognition Method Based on Spiking Neural Networks for Cognition Development” has been published on the conference ICONIP2018.
July 2017 – September 2017
Chengdu, China

The 3rd Sichuan ”Internet +” college students innovation competition

Actual Lead

Based on the laboratory innovative results, the brain-inspired GPS chip is proposed for robot cognitive mapping and navigation. I give the road show speech and we win the silver award.


January 2019

CS224n: Natural Language Processing with Deep Learning (2017)


Course link here.
“In this course, students will gain a thorough introduction to cutting-edge research in Deep Learning for NLP. Through lectures, assignments and a final project, students will learn the necessary skills to design, implement, and understand their own neural network models. “
October 2018 – November 2018

Machine Learning Crash Course


Course link here.
Machine Learning Crash Course features a series of lessons with video lectures, real-world case studies, and hands-on practice exercises.
April 2018 – June 2018

Deep Learning Specialization

Course link here.
The specialization includes 5 courses:
1. Neural Networks and Deep Learning
2. Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
3. Structuring Machine Learning Projects
4. Convolutional Neural Networks
5. Sequence Models

Selected Projects



Beats time markers generator for FCPX and PRE.


A simple image cloud storage GUI uploader.

SunIsland 404 Page

A chill 404 page with parallel effects.

Visual-semantic model

Reproduction for paper about visual-semantic attractor networks.

NCRC Official website

The official website of neuromorphic computing research center. Developed with vue.js, SSM framework and RESTful style.

Recent Publications

This paper proposes a gesture recognition method based on spiking neural network (SNN). The method can be used to develop the cognition …

This is my personal notes for machine learning crash course from google.


  • College of Computer Science, Sichuan University. No. 24 South Section 1, Yihuan Road, Chengdu, Sichuan, China🇨🇳
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