Skip to content
Tokyo, JapanLocal--:--:--

Ph.D. Candidate in Computer Science at the Camera Intelligence Lab, Peking University. I work on spike cameras.inverse rendering.world models.light & pixels.

01 — About

Light, sampled differently.

I teach cameras to see what human eyes cannot — microsecond-scale light, recovered as colour, motion and geometry.

My research sits between computational photography and computer vision: neuromorphic spike cameras that fire asynchronously at tens of thousands of frames per second, inverse rendering that pulls material and illumination back out of a photograph, and generative world models that render playable video.

Before the Ph.D. I spent a decade in competitive programming, which is probably why I still enjoy a well-shaped abstraction more than a well-tuned hyperparameter.

Research Intern
Shanda AI Research, Tokyo
Building
Multiplayer world models & panoramic video generation
Learning
Nix, Rust, and how to take better photographs
Graduating
July 2027 (expected)
Siqi Yang sitting on a grassy riverbank beneath cherry blossoms, camera in hand, looking up into the branches
杨思祺 · YouSikiApril 2026 · Canon EOS R5
02 — Focus

Three questions I keep returning to.

Different sensors, one problem: recovering the physical world from the light it happens to send us.

01

Neuromorphic Imaging

Spike cameras sample light continuously instead of in frames. I build the reconstruction stack that turns those sub-millisecond binary streams back into colour, high-dynamic-range video.

02

Inverse Rendering

Given a photograph, recover the scene that made it — geometry, reflectance, and the light that fell on it — so the whole thing can be relit and re-photographed.

03

World Models

Video generators that hold a consistent, controllable, and shared state, so more than one person can walk around inside the same generated world.

03 — Path

Where I have been.

  1. 2025 — Nowexperience

    Shanda AI Research

    Research Intern · Tokyo, Japan

    Multiplayer world models, panoramic video generation, generative game platform.

  2. 2022 — 2027education

    Peking University

    Ph.D. in Computer Science · Beijing, China

    Camera Intelligence Lab, advised by Prof. Boxin Shi and Prof. Zhaofei Yu.

  3. 2019experience

    Hyperplane Lab, Peking University

    Research Intern · Beijing, China

    Convolutional neural network quantisation and pruning.

  4. 2018 — 2022education

    Peking University

    B.S. in Computer Science · Beijing, China

    Turing Honor Class, School of EECS.

  5. 2018experience

    Youtu X-Lab, Tencent

    Research Intern · Shenzhen, China

    Object detection and classification on the Tencent Weishi dataset.

04 — Work

Selected publications.

14 papers across CVPR, ICCV, ECCV, NeurIPS, SIGGRAPH Asia and TPAMI.

Google Scholar
05 — Recognition

Medals, mostly from problems.

  • 2025PKU–Huawei Turing Graduate Program Scholarship
  • 2025Huawei Hackathon, Software ChallengeGold Medal
  • 2019Peking University Academic Excellence Award
  • 2018China Collegiate Programming Contest, GuilinGold Medal
  • 2017National Olympiad in Informatics (NOI)Silver Medal
  • 2016–2017NOIP First Prize ×2 · APIO / CTSC / WCBronze Medals

Academic Service

Conference Reviewer

  • CVPR
  • ICCV
  • ECCV
  • NeurIPS
  • SIGGRAPH
  • ACCV
  • PRCV
  • ICIG

Journal Reviewer

  • TPAMI

Toolkit

06 — Toolkit

Languages

Python · C++ · CUDA · Rust · TypeScript · Lisp · Nix

Deep Learning

PyTorch · JAX · TensorFlow · Diffusers · Triton

Graphics & Imaging

NeRF · 3DGS · Differentiable Rendering · Spike Sensor Pipeline

Infrastructure

Docker · Ray · Cloudflare · GCP · Git

07 — Contact