Zekun Tong

Zekun Tong

PhD Student

National University of Singapore

Biography

I am a fourth-year PhD student in School of Engineering at National University of Singapore, supervised by Prof. Andrew Lim and Prof. Chee Yeow Meng. I received my B.E. degree from the School of Computer Science and Technology, Xidian University in 2018. While completing several innovative projects, I have also published several papers in recommended journals and conferences, such as ICCV, TKDE, CVPR, ACM MM and NeurIPS.

My research interests lie in graph neural networks, 3d point cloud and spatio-temporal data mining. If you are interested in my research, please feel free to contact me!

Interests

  • Computer Vision (2D & 3D)
  • Graph Neural Network
  • Spatio-temporal Data

Education

  • PhD in Industrial Systems Engineering, 2018 - present

    National University of Singapore

  • B.E. in Computer Science and Technology, 2014 - 2018

    Xidian University

News

  • Jul. 2021: Two papers were accepted by ICCV 2021.
  • Jun. 2021: Invited as a reviewer for ICLR 2021.
  • May. 2021: Invited as a reviewer for TPAMI.
  • May. 2021: One paper was accepted by IJCAI 2021.
  • Apr. 2021: Invited as a reviewer for NeurIPS 2021.
  • Mar. 2021: One paper was accepted by CVPR 2021.
  • Feb. 2021: Invited as a reviewer for ICML 2021.
  • Dec. 2020: Invited as a reviewer for CVPR 2021.
  • Sept. 2020: One paper was accepted by NeurIPS 2020.
  • Aug. 2020: One paper was accepted by ACM MM 2020.
  • Jul. 2020: One paper was accepted by TKDE 2020.

Experience

 
 
 
 
 

Undergraduate Research Assistant

National University of Singapore

Jan 2018 – Jun 2018 Kent Ridge, Singapore
 
 
 
 
 

Research Intern

Sungkyunkwan University

Jan 2017 – Mar 2017 Suwon, Korea

Projects

Campus3D

A large-scale 3D point cloud dataset of NUS campus.

IPPT Trainer

An application for recording fitness tests using body posture recognition.

Publications

Digraph Inception Convolutional Networks

NeurIPS 2020, poster, acceptance rate: 20.1%
Digraph Inception Convolutional Networks

Fine-Grained Urban Flow Inference

IEEE TKDE 2020
Fine-Grained Urban Flow Inference

Patents

  • An anti-motion sickness seat and a balancing method
    • China Invention Grant (ZL201510300557.1)
  • An image stabilization and service software for ships
    • China Software Copyright (2016SR047532)
  • An anti-motion sickness seat
    • China Utility Model (ZL201520377894.6)
  • An inflatable adjustable protective cover
    • China Utility Model (ZL201220750284.2)
  • An earbud that pauses and plays music automatically
    • China Utility Model (ZL201220750298.4)

Awards

  • Interdisciplinary Contest in Modeling (MCM/ICM)
    • Finalist Winner, 2016, Winning rate: 0.3%
  • ”Challenge Cup” National Science and Technology Innovation Contest
    • National Third Prize, 2015
    • First Prize in Shaanxi, 2015
  • Microsoft Imagine Cup
    • First Prize in Shaanxi, 2017
    • Second Prize in Shaanxi, 2016
  • China Undergraduate Mathematical Modeling Competition
    • First Prize in Shaanxi, 2016
    • Second Prize in Shaanxi, 2015
  • National College Students Entrepreneurship Competition
    • Silver medal in Shaanxi, 2016

Honors

  • Research Scholarship at NUS   2018-2022
  • Graduate Star of Xidian University (10 out of 5357 graduates)   2018
  • Huawei Scholarship (two times)   2017, 2018
  • National Scholarship   2017
  • National Scholarship for Encouragement   2016
  • China Aerospace Science and Technology Corporation Scholarship   2016
  • Special Scholarship of Xidian University   2015

Contact

  • zekuntong at u.nus.edu
  • E1-04-05, 3 Engineering Drive 2, Singapore, SG 117578