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Tsung-Han (Hank) Lin
I am a Master's student in Computer Science at the NYU Courant Institute of Mathematical Sciences. My research interests lie in vision-language models and multimodal agents, with a focus on aligning multimodal systems to perceive and reason about the real world.
Before NYU, I was a research assistant with the UCLA NLP Group, advised by Prof. Kai-Wei Chang, where I worked on video agents, and with National Taiwan University's MSLab, advised by Prof. Shou-De Lin, where I worked on vision-language models for chip physical design in collaboration with the NVIDIA Design Automation Research Group. I hold a B.S. in Mathematics of Computation from UCLA.
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News 🎉
- Sep 2026 — Started Master's at NYU Courant.
- Oct 2025 — Joined UCLA NLP Group.
- May 2025 — Multimodal Chip Physical Design Engineer Assistant accepted to ICLAD 2026!
- Sep 2024 — Joined NTU MSLab.
- May 2024 — VISUAL-ALPHASOCIAL accepted to ACL Findings 2025!
- Mar 2024 — Graduated from UCLA.
Publications
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Multimodal Chip Physical Design Engineer Assistant
Yun-Da Tsai, Chang-Yu Chao, Liang-Yeh Shen, Tsung-Han Lin, Haoyu Yang, Chia-Tung Ho,
Yi-Chen Lu, Wen-Hao Liu, Shou-De Lin, Haoxing Ren
ICLAD 2026 — paper
A vision-language model framework for EDA workflows that predicts routing congestion and generates
interpretable, actionable design suggestions to assist chip engineers.
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VISUAL-ALPHASOCIAL: Benchmark and Self-Reflective Chain-of-Thought Generation for Visual Social Commonsense Reasoning
Zongyu Lin, Zhikun Xu, Yixin Wan, Xingcheng Yao, Xiaohan Song, Tsung-Han Lin, Selina Song,
Pranav Subbaraman, Kai-Wei Chang, Yizhou Sun
ACL Findings 2025 — paper
A benchmark for visual social commonsense reasoning that evaluates and elicits self-reflective chain-of-thought
from vision-language models.
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