Selected Skills

Python

tensorflow/sci-kit/opencv/flask

Statistics

numpy/pandas/matplotlib/seaborn

Prototyping

PS/AE/PRE/XD/Sketch/MindNode

Full-stack

vue/electron/SSM/MySQL/Docker

Teamwork

Scrum/Kanban/Time-Management

Languages

Native Chinese/Fluent English
Python/Java/C(C++)/Javascript

Work Experience

 
 
 
 
 
2019-07 – 2019-09
Hangzhou, China

NLP Algorithm Intern

DXY

  1. Combined with the business, to understand the algorithm requirements, and complete the design and implementation of relevant algorithms.
  2. Combined with natural language processing and machine learning methods, to conduct query understanding and user intention analysis, correlation score calculation and sorting optimization.
  3. Machine reading comprehension research in the domain of professional knowledge.

Experience

 
 
 
 
 
May 2019 – June 2019
Chengdu, China

The audio-semantic model for cognitive development of robots

First Author

Propose an audio-semantic model for cognitive development of robot, which makes the robot can dance according to the emotions expressed by the music and the memory related to the music. The paper has been accepted by the conference ICONIP2019
 
 
 
 
 
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.

Achievements

October 2019 – October 2019

Python and Statistics for Financial Analysis

The Hong Kong University of Science and Technology (Coursera)

Course link here.
“Python is now becoming the number 1 programming language for data science. Due to python’s simplicity and high readability, it is gaining its importance in the financial industry. The course combines both python coding and statistical concepts and applies into analyzing financial data, such as stock data. “
January 2019

CS224n: Natural Language Processing with Deep Learning (2017)

Stanford

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

Google

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

Deeplearning.ai

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

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DJ-beats

Beats time markers generator for FCPX and PRE.

K-pic

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.

Contact

  • College of Computer Science, Sichuan University. No. 24 South Section 1, Yihuan Road, Chengdu, Sichuan, China🇨🇳
  • Send me an E-mail