CV

A (non-)comprehensive overview of academic achievements, professional experiences, and milestones.

Contact Information

Name Bingchen Gong
Professional Title Postdoctoral Researcher
Email gongbingchen@gmail.com

Professional Summary

A Ph.D. graduate from HKU focusing on computer vision and deep learning techniques, passionate about exploring visual data representations.

Experience

  • 2024 - present

    Palaiseau, France

    Postdoctoral fellow
    Ecole Polytechnique
    At the GeomeriX group, work with Prof. Maks Ovsjanikov
    • Conducted research in learning and analysis of geometric 3D data
  • 2022 - 2024

    Hong Kong

    Postdoctoral fellow
    The Chinese University of Hong Kong
    At the Med-AIR Lab, work with Dr. Qi Dou
    • Conducted research in computer vision & graphics: implemented and extended 3D appearance and volumetric editing with implicit Neural Radiance Fields (NeRF)
    • Collaborated with PhDs and RAs in a project about surgical simulation with MPM
    • Drafted part of a research proposal for the General Research Fund from RGC 2023
  • 2019 - 2021

    Shenzhen, China

    Visiting scholar
    The Chinese University of Hong Kong (Shenzhen)
    At the GAP Lab, work with Dr. Xiaoguang Han
    • Designed and led the development of a novel 3D-mesh-annotation framework for tackling unsupervised domain adaptation of shape reconstruction; with the target of Transferring ShapeNet to ScanNet
    • Proposed a novel neural network for point cloud completion, which leverages the unoccupied points in point clouds; designed a neural network that learns from both the shape occupancy and emptiness, trained it with ShapeNet, and conducted qualitative and quantitative experiments on both synthetic and real data
  • 2015 - 2016

    New York, NY

    Visiting researcher
    Columbia University
    At the Digital Video & Multimedia (DVMM) Lab, advised by Prof. Shih-Fu Chang
    • Proposed an open source C++ library Tamp, integrating TensorFlow and Caffe, to reduce the computational costs of deep neural network models
    • Implemented Circulant and Toeplitz-like structured transforms under proposed Tamp

Education

  • 2016 - 2021

    Hong Kong

    Ph.D.
    The University of Hong Kong
    Area: Computer Vision & Computer Graphics
    • Advisor: Prof. Yizhou Yu
    • Thesis: Local Structure Encoding and Representation in 2D and 3D Synthesis
  • 2012 - 2016

    Hangzhou, China

    B.Sc.
    Zhejiang University
    Major: Computer Science and Technology
    • GPA: 3.5/4.0
    • Pursuit Science Class, Chu Kochen Honors College
  • 2006 - 2012

    Beijing, China

    High school
    The Middle School Attached to Northern Jiaotong University
    General Category: Science(s)

Awards

  • 2015
    Young Scholar Awards
    Microsoft Research Asia
  • 2015
    Honorable Mention
    COMAP Interdisciplinary Contest in Modeling (ICM)
  • 2014
    ASC 1st Prize
    Asia Student Supercomputer Challenge (ASC14)
  • 2013
    Top Talented Scholarship of Fundamental Science
    Zhejiang University
  • 2012
    Grand Award in CS & Special Award, Agilent
    Intel International Science and Engineering Fair (Intel ISEF)
  • 2012
    CASTIC 1st Prize
    China Adolescents Science & Technology Innovation Contest (CASTIC)

Skills

Computer Vision (Expert): Deep Learning, Neural Networks, Image Processing, 3D Vision

Languages

Mandarin : Native speaker
English : Fluent
Cantonese : Conversational
French : Beginner