Experience

 
 
 
 
 

Teaching Assistant

MAT2040 Linear Algebra

Sep 2023 – Present CUHK-Shenzhen

Instructors: Prof. Feng Yin, Prof. Dongdong He, Prof. Cheuk Yin Lee

Responsibilities:

  • Taught weekly tutorial sessions and held office hours for undergraduate students
  • Designed homework problems to help students apply the concepts covered in class
  • Assisted the course instructor by drafting announcements, grading homework, and preparing exams
 
 
 
 
 

Research Assistant

Bayesian Learning for Signal Processing (BLSP) Group

Jun 2021 – May 2023 Shenzhen, China

Supervisor: Prof. Feng Yin

Responsibilities:

  • Designed a novel grid spectral mixture kernel for Gaussian process with multidimensional input data
  • Developed two distributed learning frameworks for Gaussian process regression based on the successive convex approximation (SCA) and alternating direction method of multipliers (ADMM) algorithm
  • Presented a paper that was accepted to the 25th International Conference on Information Fusion (FUSION) 2022
 
 
 
 
 

Research Assistant

Shenzhen Research Institute of Big Data (SRIBD)

Jun 2020 – May 2021 Shenzhen, China

Supervisor: Prof. Tsung-Hui Chang

Responsibilities:

  • Investigated the federated matrix factorization (MF) problem for data clustering and recommender systems
  • Combined the alternating minimization and model averaging (MA) technique to solve the federated MF problem
  • Co-authored a paper that was accepted to the 46th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2021

Honors & Awards

School of Data Science Dean’s List Award AY 2022-23

21st Round of Undergraduate Research Awards 2023

20th Round of Undergraduate Research Awards 2022

School of Data Science Dean’s List Award AY 2021-22

19th Round of Undergraduate Research Awards 2022

18th Round of Undergraduate Research Awards 2022

2021 Guangdong Provincial Government Outstanding International Student Scholarship

School of Data Science Dean’s List Award AY 2020-21

2020 Guangdong Provincial Government Outstanding International Student Scholarship

School of Data Science Dean’s List Award AY 2019-20

Third Prize Computer Engineering Camp 2020

Full Tuition and Accommodation Scholarship

Projects

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Chinese Word Segmentation using Hidden Markov Model

Implementation of Hidden Markov Model (HMM) to perform Chinese word segmentation

LinkedIn Network Analysis

Exploratory analysis and visualizations on my own LinkedIn data

Chinese Calligraphy Classifier

A Chinese calligraphy classifier built using fast.ai

Deep Learning Projects

A series of deep learning projects implemented using Keras and TensorFlow

ML Mini Projects

A series of machine learning mini projects implemented in Python

Sentiment Analysis on Tweets about US Airlines

A data-driven web app that visualizes various sentiment and exploratory analysis on tweets about US airlines

R Projects

A series of data science projects implemented in R

Publications

Gaussian processes (GPs) stand as crucial tools in machine learning and signal processing, with their effectiveness hinging on kernel …

Kernel design for Gaussian processes (GPs) along with the associated hyper-parameter optimization is a challenging problem. In this …

Federated learning (FL) is encountered with the challenge of training a model in massive and heterogeneous networks. Model averaging …

Talks

An introduction to SQL using MySQL

An overview of data analysis with hands-on coding in Python

Project presentation of CIE6133 course at CUHK-Shenzhen

An introduction to data analysis in Python using Pandas

Posts

Building a scalable and flexible GP model using GPyTorch

A look at federated learning and how it could shape the future of AI

How I visualize my LinkedIn network to gain insights

Contact