Yijie Ding 丁一杰
pronounced as "yee-jee-eh ding"

I am a Master of Engineering student at the Media Interaction and Computing Lab (MICL) within the College of Computing and Data Science at Nanyang Technological University, Singapore, supervised by Prof. Jianmin Zheng. My research focuses on deep learning for computer-aided design and computer graphics.

Email  /  GitHub  /  Google Scholar  /  LinkedIn

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Research

I'm interested in 3D modeling, especially deep learning for Computer-Aided Design (CAD).

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ReACT: Reward-informed Autoregressive Decision CAD Transformer


Yijie Ding, Yang Liu, Haobo Jiang, Jianmin Zheng
AAAI, 2026

ReACT brings decision making into CAD reconstruction: instead of imitating noisy traces, it learns to choose high-reward, intent-aligned commands that better match the underlying shape. This leads to cleaner and more faithful CAD programs, setting a new bar over prior imitation-learning approaches.

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PartCAD: Learning CAD Modeling Sequences via Projection and Part Awareness


Yang Liu, Daxuan Ren, Yijie Ding, Jianmin Zheng, Fang Deng
NeurIPS, 2025

This paper presents PartCAD, a novel framework for reconstructing CAD modeling sequences from point clouds by projection-guided, part-aware geometry reasoning.




Education

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Nanyang Technological University (NTU) 2024 - Present
GPA: 4.8/5.0 College of Computing and Data Science

  • MEng (Computer Science)
  • Thesis: Deep Learning for Computer-aided Design

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Nanyang Technological University (NTU) 2020 - 2024
GPA: 4.5/5.0 School of Electrical and Electronic Engineering

  • BEng (Information Engineering and Media), Highest Distinction
  • Award: Dean's List (Academic Year 2022 - 2023)
  • Award: Dean's List (Academic Year 2023 - 2024)




Projects

Selected projects from coursework and research.

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Finger Soccer


Project
2024-10-01
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A Unity-based soccer game controlled via Leap Motion Controller. Players use finger gestures to control characters—swinging fingers to walk and turn, mimicking kicks to shoot. The project demonstrates intuitive finger-based virtual embodiment and was showcased to Ubisoft during their visit to MICL lab.

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GPU-Accelerated Volume Visualization on Multi-Resolution Grids


Project
2024-07-30
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A GPU-accelerated volume renderer for OpenVDB data, implemented in CUDA and integrated with Aerocae. Features adaptive sampling, customizable transfer functions, and isosurface rendering for scientific visualization applications.




Misc.

  • I occasionally dabble in 3D modeling and animation with Blender. Feel free to explore my ArtStation.
  • I am/was a vlogger on Bilibili I also do some photography in my free time. Some of my shots were featured by NTU (here and here). If you're on campus, swing by NTU's UShop for a Hall One postcard featuring my photo.
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