October 2018 – April 2019

Research Intern

Horizon Robotics

Responsibilities include:

  • Audio data analysis and processing for speech recognition
  • Developing web-based platform for large-scale audio data processing
  • Utilizing audio and textual features for audio data quality assessment

July 2018 – October 2018

Research Intern

University of Toronto & SickKids

Responsibilities include:

  • Literature review in DKI, BOLD signal analysis, etc.
  • Developing programs for analyzing BOLD signals for CVR measurement
  • Analyzing experimental data for diagnostic purposes


EHRs present several modeling challenges, including highly sparse data matrices, noisy irregular clinical notes, arbitrary biases in billing code as- signment, diagnosis-driven lab tests leading to not-missing-at-random (NMAR) biases, and heterogeneous data types across clinical notes, billing codes, lab tests, and medications. To address these challenges, we present MixEHR, a multi-view Bayesian framework related to collaborative filtering and latent topic models for EHR data integration and modeling.
Nature Communications, 2020

In our ablation study, we reported several issues regarding the model implementation, and examined the effect of latent space dimension and number of Transformer layers on the performance of the original model.
In NeurIPS 2019 Reproducibility Challenge, 2019

This paper proposes a method that utilizes Kalman filter and Finite State Machine for both accurate estimation of elevator’s short-range displacement and robust estimation of long-term statistical patterns, basing solely on accelerometer.
In IEEE ICSP 2018, 2018



Utilizing Kalman filter and FSM to analyze data from accelerometer for elevator movement monitoring

Monaural Speech Speakers Separation

Speakers separation with RNN in a monaural setting

Neurips 2019 Reproducibility Challenge

Ablation study of a Neurips 2019 paper, submitted to the official challenge

Retinal Image Registration

Introducing Gaussian Field Estimator to achieve robust registration of retinal images from different views and devices

Speech Enhancement with Kalman Filter

Speech enhancement with Kalman Filter and Linear Prediction Coding in a noisy setting

When Deep NLP Models Are Not So Favorable

Empirical study of scenarios where deep NLP models are not favorable over classical models