Carnegie Mellon University
Master's Degree
Master of Computational Data Science (MCDS)
School of Computer Science, GPA: 3.92

2019 Aug.

2020 Dec.

The Hong Kong University of Science and Technology
Bachelor of Science in Computer Science
Double Major in Mathematics
CGA 3.882 out of 4.3, Computer Science GPA: 4.094/4.3

2014 Sept.

2018 Jun.

Georgia Institute of Technology
Exchnage Student
Computer Science
GPA 3.8 out of 4.0

2016 Aug.

2016 Dec.

Jan 2021 - Present

Goldman Sachs
Equity Derivative Strategist
Hong Kong SAR
Automated pricing and trading system for structured products.

May 2020 - Aug 2020

Nvidia, AI infrastructure team
Deep learning software engineer intern
Santa Clara, CA
Self-supervised learning for object detection/panoptic segmentation in AI Infrastructure team for autonomous vehicles

July 2018 - July 2019

June 2017 - Aug 2017

Goldman Sachs
Analyst at Securities Trade Processing team
Hong Kong SAR
High-volume post execution trade processing system

Dec 2017 - Feb 2018

Tencent, Youtu Lab
R&D Intern in Machine Learning Group
Shenzhen, China
Conducted research on object detection. Implemented and tested state of the art one-stage object detection algorithm (YoloV2, F-SSD, D-SSD) with various techniques such as Focal Loss and Feature Fusion using caffe and tensorflow.

Boosting Supervised Learning Performance with Co-training
Xinnan Du, William Zhang, Jose M. Alvarez
IV 2021 Paper 2021 IEEE Intelligent Vehicles Symposium
Self-superised learning for deep learning perception models
Source: [pdf]

Roborace (Self Driving Race Car)
Project Built a reinforcement learning training and evaluation framework base on roborace base layer. The training framework is able to perform distributed training and a dedicated dashboard is built to visualize the training process.
Source: [webpage] [news] [report]

BitExTract: Interactive Visualization for Extracting Bitcoin Exchange Intelligence
Xuanwu Yue, Xinhuan Shu, Xinyu Zhu, Xinnan Du, Zheqing Yu, Dimitrios Papadopoulos, Siyuan Liu
TVCG Paper IEEE Transactions on Visualization and Computer Graphics, 2018
Source: [pdf] [slides] [video] Best FYP Award 2017-2018

SkyLens: Visual Analysis of Skyline on Multi-dimensional Data
Xun Zhao; Yanhong Wu; Weiwei Cui; Xinnan Du, Yuan Chen; Yong Wang; Dik Lun Lee; Huamin Qu
TVCG Paper IEEE Transactions on Visualization and Computer Graphics, 2017
Source: [pdf] [slides] [video]

Mining and Visualizing Yelp Dataset
Project Built neural network classifier for Health Index of resaurants. Sentiment analysis on large-scale review text using Spark and Map/Reduce on the cloud. Built an interactive online recommendation system for users to visualize local restaurants based on temporal summaries
Source: [github] Champion of Healthcare in HackUST 2017