Pathologiests' gaze analysis
(JavaScript, OpenSeadragon, Python, PyTorch)
◦ Collected participants’ eye movements and mouse operations when making diagnoses on pathology images. Designed an algorithm to generate pseudo ground truth from gaze data for neural network training.
Brain imaging visualization and annotation analysis
[GitHub]
(C++, Qt 5, OpenGL, OpenVR)
◦ Studied the annotators’ behaviors in both desktop and virtual reality environments. Used
artificial neural networks to boost annotators’ speed and fasten the neuron reconstruction
process. In cooperation with Allen Institute and Southeast University.
Image Complexity Quantification [Link]
(jsPsych, JavaScript, HTML/CSS, PHP, MySQL)
◦ Evaluated convolutional neural networks’ performance on graphical perception tasks and
compared it to human fairly. Quantified the effect of data sampling on CNNs’ accuracy.
Graphical perception with CNNs
(Python, TensorFlow, Keras)
◦ Evaluated convolutional neural networks’ performance on graphical perception tasks and
compared it to human fairly. Quantified the effect of data sampling on CNNs’ accuracy.
Similarity-based image retrieval in pathology
(Python, TensorFlow, Keras, JavaScript, D3.js)
◦ Benchmarked multiple image feature extraction algorithms and retrieved similar images in the
database.
Online vape shop analysis
(Python, Web Scraper)
◦ Automatically scraped and mined vape product information from online vape shops.
Automatic vehicles detection and recognition system
(Python, PyTorch, OpenCV, MySQL)
◦ Used convolutional neural networks to automatically detecting and re-identifying vehicles
based on license plate, vehicle model, and color.
The Ohio State University
Research Assistant working with
Prof. Jian Chen. and
Prof. Ce Shang.
Teaching Assistant for
- CSE 6431 - Advanced Op System
- CSE 5546 - Virtual Reality
- CSE 5544 - Intr Data Vis
- CSE 5052 - AI for Non Majrs
- CSE 3521 - Intr Artif Intell
