Peter Yichen Chen @peterchencyc
Assistant Prof @UBC | PhysAI Lab Alum: @MIT, @Columbia, @UCLA, @RealityLabs, @weta_digital peterchencyc.com Joined November 2020-
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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!
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!
🚀 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!
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
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
#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.
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. https://t.co/jni1i1J1W5
Great news!!
📣 3DV 2026 has announced its call for papers! Join us in Vancouver 🇨🇦 next March to shape the future of 3D vision! 🧠📹 Paper Deadline: August 18, 2025 Conference Dates: March 20–23, 2026 🌐 3dvconf.github.io/2026/call-for-…
📣 3DV 2026 has announced its call for papers! Join us in Vancouver 🇨🇦 next March to shape the future of 3D vision! 🧠📹 Paper Deadline: August 18, 2025 Conference Dates: March 20–23, 2026 🌐 3dvconf.github.io/2026/call-for-…
Congrats @rohansawhney1!!!
Congrats @rohansawhney1!!!
Thank you for covering our work! @MIT—check it out here: news.mit.edu/2025/system-le…
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