Chi Wang 王驰

I am a distinguished researcher at the School of Software, Zhejiang University. I received my PhD from the School of Computer Science and Technology at the CAD&CG State Key Lab, Zhejiang University, supervised by Prof. Weiwei Xu. My primary research interests lie in AIGC, Computer Graphics, 3D Vision, and Digital Twin.

Explore my research

Research interests

  • Generative AI
  • Computer Graphics
  • Embodied AI
  • Computer Vision

Education

  1. Ph.D. in Computer Science and Technology
    Zhejiang University 2019 - 2024
  2. MEng in Computer Science and Technology
    Beijing Institute of Technology 2017 - 2019
  3. BSc in Software Engineering
    Beijing Institute of Technology 2013 - 2017
Publications

Research journey

Industry Experience

  1. Present

    Distinguished Research Fellow (ZJU tenure-track positions)

    Zhejiang UniversityNingbo & Hangzhou
    Focus on: AIGC, Computer Graphics, 3D Vision, Digital Twin
  2. Research Intern

    TencentHangzhou

    Responsibilities include:

    • Exploring AIGC on scene, mainly with Procedural Modeling Technology
    • A technical summary paper~(T-PAMI, first revision), and one national invention patent
  3. Research Intern

    Kuaishou TechnologyHangzhou

    Responsibilities include:

    • Exploring AIGC, mainly 3D generation.
  4. Present

    Research Intern

    Alimama [Alibaba Group]Beijing

    Responsibilities include:

    • Exploring the challenge of generating high-quality commercial fonts; Costs reduction and efficiency improvement for non-standardized font development
    • Participating in and completing two projects
    • Released 2 fonts:阿里妈妈东方大楷阿里妈妈刀隶体
    • A technical summary paper accepted by CVPR 2023, and one national invention patent
  5. Research Intern

    DAMO Academy [Alibaba Group]Hangzhou

    Responsibilities include:

    • Explore high-quality algorithms for matting and semantic segmentation
    • Achieving a first-place ranking in the well-known large-scale semantic segmentation dataset ADE20K using the company account
    • Two technical summary papers: one accepted for oral presentation at AAAI 2022 and another accepted by MM 2021, as well as one national invention patent
Posts

2023 · Type design & generation

Alimama DaoLi Calligraphy Font

Alimama DaoLi stele inscription font, learned the essence of Cuan Baozi stele through machine learning, emphasizing the strong square of the “雁尾” at both ends of the triangular point bending and horizontal drawing, showing sharpness and showing off its spirit, between Li-Kai and Kai , maintains a strong sense of official script, giving people a sense of solidity, simplicity, childishness, and stubbornness. It breaks the conventional balance of symmetry, and the knots are extremely bold. The size is often unexpected. It seems to be out of proportion, but in fact it is deeply artistic: seek righteousness in danger, move in stillness, seek stillness in movement.

2023 · Type design & generation

Alimama DongFang-DaKai Calligraphy Font

Alimama DongFang-DaKai Calligraphy Font is a font set generated based on the algorithm of Yan Zhenqing’s Duobao Pagoda Stele and combined with human effort. The machine learning process captured the rich and heavy feeling of Yan’s style, achieving the rise and fall of traditional calligraphy in stroke depiction. It standardizes the skeleton and strokes, and restores the writing charm of calligraphy such as descension of brush, implicit brush tip technique, brush turning, brush tail protection, and so on, making the overall font fuller, more harmonious, and thicker.