M.S. student at Korea University working on efficient, reliable AI systems.

GPU/NPU systems · real-time AI · LLM serving · HCI

  • Yeongwoo Ha*, Taemin Kim*, Changhun Han, Chan Heo, Jaeheon Kwak, Hyosu Kim, Kilho Lee, Hoon Sung Chwa, and Sangeun Oh† (ICCAD, 2026 Conference.) CoRT: Supporting Hard and Soft Real-Time Tasks in Batched LLM Serving [Paper]

  • Wonyong Cho*, Taemin Kim*, Jungmin Kim, Jeong Rae Kim, Sung Hoon Jung (Arxiv) Self-Abstraction Learning for Effective and Stable Training of Deep Neural Networks [Paper]

  • Taemin Kim, Junhyuk Seo, Hyejung Ko, Keejun Han, Woonghee Lee† (IEEE Access, 2026) TipMate: An Explainable Fair Tip Recommender System based on LLM [Paper]

  • Junhyuk Seo, Taemin Kim*, Hyejung Ko, Heeseok Oh† (IEIE, 2026 Journal.) Zero-Shot Voice Cloning Based Emotion-Preserving Video Dubbing [Paper]

  • Taemin Kim</ins>, Seoklea Cho (IEIE, 2025 Conference.) Evaluating Generalization and Data Leakage in Large Language Models vi Data Perturbation [Paper]

  • Minseo Kim*, Taemin Kim*, Thu Hoang Anh Vo, Yugyeong Jung†, Uichin Lee†† (CHI, 2025 Conference.) Exploring Modular Prompt Design for Emotion and Mental Health Recognition [Paper]

  • Taemin Kim</ins>, Wooyeol Baek, Heeseok Oh† (NeurIPS’W, 2024 Conference.) Efficient Generative Multimodal Integration (EGMI): Enabling Audio Generation from Text-Image Pairs through Alignment with Large Language Models [Paper]

  • Taemin Kim</ins>, Hyejung Ko, Wooyeol Baek, Heeseok Oh† (IEIE, 2024 Conference.) Improving Instance Representation in Personalized Image Generation with Optimized Attention Mechanism and Text Encoder [Paper]