Tokyo, JapanLocal--:--:--

杨思祺

SiqiYang

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

01 — Research

Light, sampled differently.

Everything I work on is one question about light, asked three ways: how to recover a scene, how to capture one, and how to generate one that was never there.

Recovery is the inverse problem: intrinsic decomposition and inverse rendering prise geometry, material and light apart, and neural radiance fields do it in three dimensions.

Capture stops treating the sensor as given: a spike camera fires the instant a pixel has seen enough light, tens of thousands of times a second, which is what brings HDR and high-frame-rate imaging to scenes too fast and too contrasty for a shutter to hold.

Generation runs the arrow backwards: video generation that follows a camera and a soundtrack, relighting under a sun the scene never saw, world models consistent for everyone inside them.

Siqi Yang sitting on a grassy riverbank beneath cherry blossoms, camera in hand, looking up into the branches
Siqi YangApril 2026 · Kyoto · Canon EOS R5
02 — Interests

Where the spare cycles go.

What the evenings are for, and what keeps me honest about how much of this technology actually works in someone's hands.

01

Agent Harness

Harnesses tuned to one task rather than all of them, mixing models instead of betting on a single one: cheap work routed to cheap models, budget spent only where it changes the answer. The likes of oh-my-openagent and oh-my-pi.

02

Game Generation

Handing the last two years of LLM and coding-agent progress to players and makers rather than researchers, so anyone can build the game already in their head — at a cost they can predict and a quality they can count on.

03

Serverless Infra

Serverless primitives on Cloudflare, used to keep services small, cheap, and forgettable. I would rather pay per request than spend the next decade keeping a machine alive.

03 — Path

Where I have been.

  1. 2025 — Nowexperience

    Alaya Lab, Shanda AI Research Tokyo

    Research Intern · Japan

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

  2. 2022 — 2027education

    Camera Intelligence Lab, Peking University

    Ph.D. in Computer Science · Beijing, China

    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

    Turing Class, Peking University

    B.S. in Computer Science · Beijing, China

    Honours track in the School of EECS.

  5. 2018experience

    Youtu X-Lab, Tencent

    Research Intern · Shenzhen, China

    Object detection and classification on the Tencent Weishi dataset.

04 — Publications

Selected publications.

17 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
  • 2016–2017National Olympiad in Informatics in Provinces (NOIP)First Prize ×2
  • 2016–2017APIO, CTSC, and Winter CampBronze 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 — Open Source

Built for myself. Patched for everyone.

I build the tools I need, and send fixes upstream when the tools I use have rough edges — small, practical changes that keep shared software useful.

  1. Own project

    cloudflare-zotero-mcp

    A remote Zotero MCP server on Cloudflare Workers, with full metadata and WebDAV PDF read/write, OAuth, and hybrid semantic search.

    • TypeScript
    • Cloudflare Workers
    • MCP
    • Zotero
    • WebDAV
  2. Own project

    cloudflare-workers-mikan

    A serverless mirror of Mikan on Cloudflare Workers, including account flows, custom domains and a live deployment.

    • TypeScript
    • Cloudflare Workers
    • Hono
    • Serverless
  3. Learning project

    PKU-Racket

    Functional-programming exercises spanning SICP, continuations, interpreters, amb evaluation and register machines.

    • Racket
    • SICP
    • Functional Programming
  4. Learning project

    SoftwareFoundations

    Coq proofs and exercises from Software Foundations, covering induction, tactics, logic, proof objects and IMP.

    • Coq
    • Formal Methods
    • Proofs
  5. Learning project

    PyTorch-FBS

    A PyTorch implementation of Feature Boosting and Suppression for input-dependent dynamic channel pruning.

    • Python
    • PyTorch
    • Dynamic Pruning
08 — Contact