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Shao-Hua Sun Profile
Shao-Hua Sun

@shaohua0116

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Assistant Professor @ National Taiwan University (NTU) | CS Ph.D. @USC | Robot Learning, Reinforcement Learning, Program Synthesis | 台大電機系助理教授

Taipei, Taiwan
Joined October 2015
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@shaohua0116
Shao-Hua Sun
3 months
Kicking off #RLC2025 with our Workshop on Programmatic Reinforcement Learning! This workshop explores how programmatic representations can improve interpretability, generalization, efficiency, and safety in RL.
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@weichiuma
Wei-Chiu Ma
9 days
If you are interested in 3D/4D/Video models, join us tomorrow (10/20) at the #ICCV #Wild3D workshop (Rm 312)! We have an amazing set of all-star speakers! It will be fun! :) @QianqianWang5 @AnpeiC @Jimantha Andrea Vedaldi @angelaqdai @JunGao33210520 @georgiagkioxari
@jin_linyi
Linyi Jin
9 days
🌺 Join us in Hawaii for Wild3D! We're hosting our 2nd Workshop on 3D Modeling, Reconstruction & Generation in the Wild! Dive into 3D + 4D topics, from real-world reconstruction to video generative models & dynamic scene modeling 🌋 #Wild3D #ICCV2025
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@shaohua0116
Shao-Hua Sun
9 days
My slide:
drive.google.com
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@shaohua0116
Shao-Hua Sun
10 days
Excited to give a talk on "Imitation Learning with Diffusion Models" at the Embedded Vision Workshop, #ICCV2025! I’ll discuss how diffusion models can enhance imitation learning, building on our papers presented at NeurIPS, ICML, and ICLR. 🕘 Oct 19th, 13:45-14:15 📍 Room 316A
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@Jesse_Y_Zhang
Jesse Zhang
19 days
How can we help *any* image-input policy generalize better? 👉 Meet PEEK 🤖 — a framework that uses VLMs to decide *where* to look and *what* to do, so downstream policies — from ACT, 3D-DA, or even π₀ — generalize more effectively! 🧵
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@shaohua0116
Shao-Hua Sun
28 days
Messing around with the new Sora app from OpenAI 👀 wild stuff
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@thinkymachines
Thinking Machines
29 days
LoRA makes fine-tuning more accessible, but it's unclear how it compares to full fine-tuning. We find that the performance often matches closely---more often than you might expect. In our latest Connectionism post, we share our experimental results and recommendations for LoRA.
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@shaohua0116
Shao-Hua Sun
29 days
Humanoids were supposed to dance with K-pop stars at the @corl_conf banquet—but they couldn’t even stand up. I found that motivating. Robot learning folks, let’s push harder! #CoRL2025
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@xiao_ted
Ted Xiao
1 month
The field of robotics is undergoing a historic revolution right now. I’ve spent the last year thinking about how to mentally model the breakneck progress in robotics + AI. With the help of mascots like “The AGI Bro”, we can try to sift through the noise 🧵
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@IlirAliu_
Ilir Aliu - eu/acc
2 months
The first universal 3D robot viewer for the browser… load URDF, MJCF, or USD in seconds. No installs. No setup. Developer Victor Oldensand has built Mechaverse, a universal 3D robotics viewer that works on desktop and even mobile (if your phone is strong enough). No installs.
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@shaohua0116
Shao-Hua Sun
3 months
Consider submitting your work to our @corl_conf workshop on "Resource-Rational Robot Learning" by August 18! Workshop web page: https://t.co/25HLJgqppX
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@shaohua0116
Shao-Hua Sun
3 months
@ellisk_kellis @white_martha @yayitsamyzhang @SheilaMcIlraith @tydsh Wentao Yuan @TonyWentaoYuan talks about “An API for the Physical World”
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@shaohua0116
Shao-Hua Sun
3 months
@ellisk_kellis @white_martha @yayitsamyzhang @SheilaMcIlraith Yuandong Tian @tydsh talks about “Leveraging Symbolic Solvers For Better Reasoning Capabilities”
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@chinganc_rl
Ching-An Cheng @ICML2025
3 months
Happening now at #RLC2025. Join us if you’re interested in program, agents and RL.
@shaohua0116
Shao-Hua Sun
3 months
Kicking off #RLC2025 with our Workshop on Programmatic Reinforcement Learning! This workshop explores how programmatic representations can improve interpretability, generalization, efficiency, and safety in RL.
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@shaohua0116
Shao-Hua Sun
3 months
@ellisk_kellis @white_martha @yayitsamyzhang Sheila McIlraith @SheilaMcIlraith talks about “Programmatic Reward Models: Exploiting reward function structure to help agents learn, plan, and remember”
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@shaohua0116
Shao-Hua Sun
3 months
@ellisk_kellis @white_martha Amy Zhang @yayitsamyzhang talks about “Leveraging Programmatic Structure in Reinforcement Learning”
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@shaohua0116
Shao-Hua Sun
3 months
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@shaohua0116
Shao-Hua Sun
3 months
@ellisk_kellis @white_martha Spotlight presentations
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@shaohua0116
Shao-Hua Sun
3 months
@ellisk_kellis Martha White @white_martha talks about “Planning with Options, with speculations on intersections with programmatic RL”
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@shaohua0116
Shao-Hua Sun
3 months
Kevin Ellis @ellisk_kellis talks about “Learning how the world works by writing code”
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