Profile photo of Seojune Lee

Seojune Lee

ECE Undergrad at Seoul National University

I am a final-year undergraduate student majoring in Electrical and Computer Engineering at Seoul National University. My primary academic interest lies in bridging the gap between deep learning algorithms and computer architecture. Specifically, I have been exploring methods that enable efficient training and inference of large language models (LLMs) through hardware-aware design. Aside from deep learning research, I am also interested in linguistics, software engineering, and quantitative finance. You can find more information in this link.


Publications

QWHA: Quantization-Aware Walsh-Hadamard Adaptation for Parameter-Efficient Fine-Tuning on Large Language Models

Hyesung Jeon*, Seojune Lee*, BeomSeok Kang, Yulhwa Kim, and Jae-Joon Kim

In ICLR 2026.

AgentSuite: Toward More Reliable Agent Evaluation with a Component-Based Benchmark Auditing Pipeline

AgentSuite: Toward More Reliable Agent Evaluation with a Component-Based Benchmark Auditing Pipeline

Hyewon Suh*, Binfei Ji*, Seojune Lee*, Rishi Khare, Basit Khan, Hyunjun Kim, Tianyi Zhang, Venkat Krishna Srinivasan, Peter Belcak, Shizhe Diao, Pavlo Molchanov, Yingyan Celine Lin, Zhen Dong

In ICML 2026.

*: equal contribution


Recent Posts

TenSat: Equality Saturation for Tensor Graph Superoptimization

May 24, 2026 · 6 min read · 🌐︎ en

ML compiler paper review MLSys
LUT Tensor Core

Aug. 5, 2025 · 7 min read · 🌐︎ en/ko

MLSys architecture paper review quantization
Solving Triton Puzzles

July 30, 2025 · 3 min read · 🌐︎ en

GPU
Consistency Models

Feb. 2, 2025 · 6 min read · 🌐︎ en

generative deep learning paper review
More Posts →

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