Peter Yichen Chen
@peterchencyc
Assistant Prof @UBC | PhysAI Lab Alum: @MIT, @Columbia, @UCLA, @RealityLabs, @weta_digital
قد يعجبك
Wanna work on creative ideas related to dexterous manipulation without constraints on data, hardware and compute🤖💸? Join us @Meta as a summer intern! I'm actively hiring for the summer of 2026. Thank you for your attention to this matter! metacareers.com/jobs/778113191…
At OpenAI I remember when we were excited to see a video model make a blurry, pixelated ping pong ball bounce up and down realistically for more than a second. "It learned physics!" That was ~4 years ago. Still think we're hitting a wall?
This is Ray3. The world’s first reasoning video model, and the first to generate studio-grade HDR. Now with an all-new Draft Mode for rapid iteration in creative workflows, and state of the art physics and consistency. Available now for free in Dream Machine.
Every lens leaves a blur signature—a hidden fingerprint in every photo. In our new #TPAMI paper, we show how to learn it fast (5 mins of capture!) with Lens Blur Fields ✨ With it, we can tell apart ‘identical’ phones by their optics, deblur images, and render realistic blurs.
Life update ✨ I’ll be joining @umdcs as faculty starting Spring 2026! I’m looking for motivated students (undergrad, MS, PhD) and postdocs interested in robotic manipulation, tactile sensing, and learning-driven hardware design. Excited to build my group at UMD—let’s connect!
📢 @umdcs is welcoming 8 new faculty in 2025–26 with expertise in AI policy, robotics, bioinformatics, vision, language models, simulation & sound design. They’ll strengthen research & teaching across computing. Read more: go.umd.edu/New-Faculty7-2…
UBC Computer Science professors Dr. Joanna McGrenere and Dr. Tamara Munzner have been elected as Fellows of the Royal Society of Canada for their excellence in research and innovation. Read more about their work in our latest article: cs.ubc.ca/news/2025/09/d…
It’s been a privilege to work with Yixin these past months—he has my full support. cbc.ca/news/canada/ki…
We are excited to host KyungHyun Cho from New York University and Genentech Research & Early Development for a talk on “Reality Checks”. Join us: 🕛 Friday, August 29, 2:00 - 3:00 PM @ ICICS X836 @UBCLangScis @CAIDA_UBC @UBC_CS
Brief life update: I recently graduated from @MIT_CSAIL, moved to SF, and joined the amazing @amazon FAR team led by @peterxichen @rocky_duan @pabbeel. Our team is hiring - feel free to reach out if interested!
We're hiring interns (and full-times) all year long! Please email me if interested.
🚀 Join Us: Research Internships in Embodied Intelligence The USC Geometry, Vision, and Learning Lab (usc-gvl.github.io) is seeking highly motivated interns to push the frontiers of AI, robotics, and 3D computer vision. You’ll work on large-scale VLA models,…
#SIGGRAPH2025 Reduced-order modeling has long sped up physics simulation — the OG of AI4Science & ML4Physics. From 1987’s good-and-old to 2025’s neural-here, neural-there! dgp.toronto.edu/reducedmodels/ Speakers: @RealityLabs @NVIDIAAI @ZivaDynamics @unity — join us this morning!
dgp.toronto.edu
ROM Workshop at SIGGRAPH 2025
From classical subspace methods to modern neural techniques — join leading researchers at SIGGRAPH 2025.
If you're at #SIGGRAPH2025 this Thurs, check out the Graphics4Science course on the deep and evolving relationship between computer graphics and science, co-organized by UBC CS Professor @peterchencyc! graphics4science.github.io
Excited to announce Graphics4Science, a course at SIGGRAPH 2025! Computer graphics – often associated with films, games, and visual effects – has long been a powerhouse for scientific discovery, from early 3D medical‑imaging viewers to today’s advanced computational modeling and…
#BestPaperAwardHonorableMention #SIGGRAPH2025 One neural PDE model, hundreds of cuts and discontinuities — simulated in real time. 🚀 Introducing WindLifter: lifting the winding number fields lets us capture discontinuities in neural fields. Come see ChangYue’s talk today 👉…
#BestPaperAward #SIGGRAPH2025 One neural PDE model, hundreds of shapes — simulated at lightning speed. 🚀 Introducing Shape Space Spectra: first eigenanalysis across shapes. Come see ChangYue’s talk today 👉 changy1506.github.io
Join us at the SIGGRAPH Canada Party hosted by @HTDerekLiu and me, on behalf of Canada Graphics Research! RSVP here: lu.ma/epm4b7xp #SIGGRAPH2025
Join the Duke General Robotics Lab (generalroboticslab.com)! We’re hiring for two exciting positions: 1) Postdoctoral Researcher; 2) Research Associate (full-time role for candidates with a Bachelor’s or Master’s degree) We’re looking for innovative, bold thinkers who are…
Excited to announce Graphics4Science, a course at SIGGRAPH 2025! Computer graphics – often associated with films, games, and visual effects – has long been a powerhouse for scientific discovery, from early 3D medical‑imaging viewers to today’s advanced computational modeling and…
General relativity 🤝 neural fields This simulation of a black hole is coming from our neural networks 🚀 We introduce Einstein Fields, a compact NN representation for 4D numerical relativity. EinFields are designed to handle the tensorial properties of GR and its derivatives.
🌊 New AI system for designing autonomous underwater gliders - from concept to fabrication in record time. ✅ Fast shape optimization ✅ Efficient CFD modeling ✅ Real-world validation 🎥 youtube.com/watch?v=hpzakp…📖 news.mit.edu/2025/ai-shapes… #AI #OceanTech
We have updated the paper Gaussian Splashing with more results and experiments. Please visit the project page for more information! Link: gaussiansplashing.github.io TL;DR: Gaussian Splashing is a unified framework combining 3D Gaussian Splatting and Position-Based Dynamics.
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