CS PhD Student at Brown | Computational Design, Geometry, AI

Joined May 2022
5 Photos and videos
15 Dec 2025
Can we apply gradient descent to discrete changes? In our new #SIGGRAPHAsia paper, we show that gradient descent can work on shape grammars, as in CAD and procedural modeling, but only if the grammars are designed correctly!
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15 Dec 2025
We show that these properties matter through ablations over grammar variants and compare against existing random-walk approaches like RJMCMC. Grammars that satisfy more of our guidelines consistently converge faster and reach better optima.
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15 Dec 2025
Our takeaway: Don’t just throw an optimizer at arbitrary grammars, design the grammar for descent! Paper: Design for Descent: What Makes a Shape Grammar Easy to Optimize? Authors: @milin_k_, @jackzzhang, @nmwsharp, @AdrianaSchulz7 Project: computationaldesign.group/pu…
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Jack Zhang retweeted
Jack was one of the first students in our group 3DL! He did a couple of awesome works with us during his undergrad. Check out his papers and make sure to follow his journey as he starts as a PhD student in @uwcse with @AdrianaSchulz7 ! zzhang-18.github.io/
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Jack Zhang retweeted
One thing that makes siggraph unique is that it’s so much more than just technical papers. I’m excited that @UChicagoCS will be active across several different forums: technical papers, workshops, emerging technologies, frontiers talks, and even a social meetup! Come meet us 🤩
#SIGGRAPH2022 here we come! My lab is doing: (1) #XR/#VR meetup (w/ @michinebeling ) (2) Yudai Tanaka's (@Hoku5ai) electrical head actuation demo, (3) #haptics talk w/ Nicholas Colonnese (@RealityLabs), (4) metaverse workshop w/@marknb00, @michinebeling & @tengshanyuan join us!
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Jack Zhang retweeted
Thrilled to share "GANimator: Neural Motion Synthesis from a Single Sequence", in this upcoming #SIGGRAPH2022 🤩 GANimator can produce novel animations for unique creatures that don't have large motion datasets! For example, this hexapedal crab 🦀(1/4)
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