Sicong Jiang

Sicong Jiang

Graduate Student

McGill University

Biography

Hi! I’m a first year PhD student at McGill University advised by Prof. Lijun Sun. My current research interests lie in developing novel and reliable machine learning algorithms for autonomous vehicles.

Before I came to McGill, I got my master degree in Electrical&Computer Engineering at Georgia Institute of Technology. And I received my B.Eng from Northeastern University, Shenyang. I was also an exchange student in Sidney Sussex College. During my undergraduate period, I finished several projects related to reinforcement learning, robotics motion planning as well as data mining and prediction in the State Key Laboratory of Automation(SAPI) and NEU Robot Laboratory.

I’m always open to research opportunities and cooperations in related areas. Feel free to contact me!

Interests

  • Reinforcement Learning
  • Multi-Agent System
  • Autonomous Driving

Education

  • Ph.D in Electrical and Computer Engineering, 2021 - Present

    McGill University

  • M.Sc in Electrical and Computer Engineering, 2019 - 2021

    Georgia Institute of Technology

  • B.Eng in Electrical Engineering, 2015 - 2019

    Northeastern University

Education

 
 
 
 
 

M.S. in Electrical and Computer Engineering

Georgia Institute of Technology

Aug 2019 – May 2021 Atlanta, GA
Responsibilities include: Work as a member of the Intelligent Vision and Automation Laboratory (IVALab). Mainly focusing on:

  • Visual navigation algorithms for robotics.
  • Multi-agent SLAM system based on laser scan.
  • Learning based multi-agent exploration algorithms(MADDPG/DecMDPs).
 
 
 
 
 

B.S. in Automation

Northeastern University

Sep 2015 – Jun 2019 Shenyang, China
  • Outstanding Graduates of Northeastearn University(Top 3%).
  • The Most Influential Graduates of Information College in Northeastern University(Top 3%).
  • National First Prize of China Undergraduate Mathematical Contest in Modeling(Top 1%).
  • First-class Scholarship in Northeastern University(Top 3%).

Publications

Long-term tracking algorithm using deep features and a single shot multibox detector

The ability for computers to target and track objects within video sequences has attracted increasing amounts of attention in recent …
Jianing Zhang, Sicong Jiang, Yunzhou Zhang

Long-term tracking algorithm with the combination of multi-feature fusion and YOLO

In recent year correlation filtering based algorithms have achieved significant performance in tracking. In traditional, the previous …
Sicong Jiang, Xiaobo Liu, Yunzhou Zhang

Long-term Tracking Based on Spatio-Temporal Context Model

Visual tracking is always a challenging problem due to many factors such as appearance changing, background clustering, illumination …
Jianing Zhang, Jining Bao, Rui Zheng, Sicong Jiang, Tongbo Liu, Yazhou Zhang, Yunzhou Zhang

Contact