cv

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

Basics

Name Bingchen Gong
Label Postdoctoral fellow
Email gongbingchen@gmail.com
Url https://s2.hk/
Summary A Ph.D. graduate from HKU focusing on computer vision and deep learning techniques, who is passionate about exploring visual data representations and believing in FOSS, while also enjoying Hong Kong's natural beauty and biking to work at CUHK.

Work

  • 2024.06 - now
    Postdoctoral fellow
    Ecole Polytechnique
    At the GeomeriX group, work with Prof. Maks Ovsjanikov
    • Conducted research in learning and analysis of geometric 3D data
  • 2022.07 - 2024.01
    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
  • 2019.05 - 2021.12
    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 an novel neural networks 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
  • 2015.10 - 2016.08
    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

  • 2016.09 - 2021.12
    Ph.D.
    The University of Hong Kong
    Area: Computer Vision & Computer Graphics
    • Thesis: Local Structure Encoding and Representation in 2D and 3D Synthesis
  • 2012.09 - 2016.08
    B.Sc.
    Zhejiang University
    Major: Computer Science and Technology
    • Pursuit Science Class, Chu Kochen Honors College
  • 2006.09 - 2012.08
    High school
    The Middle School Attached to Northern Jiaotong University
    General Category: Science(s)
    • Pursuit Science Class, Chu Kochen Honors College

Awards

Languages

Mandarin
Native speaker
English
Fluent
Cantonese
Conversational