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Jiseung Jeong I am a B.S. student in Computer Science and Engineering at UNIST, and an undergraduate research intern at the Ubiquitous AI Lab, advised by Prof. Taesik Gong. My research interests are in efficient and interpretable on-device foundation models, with a current focus on Vision-Language-Action (VLA) systems. wjdwltmd1151 [at] unist [dot] ac [dot] kr |
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Research |
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Premover: Fast Vision-Language-Action Control by Acting Before Instructions Are Complete
Joonha Park, Jiseung Jeong, Taesik Gong Preprint, 2026 arXiv |
Projects |
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Spring 2026
QuantShift Studied self-speculative decoding under 4/8-bit quantization; showed the speedup is bounded by the AR baseline, so NF4 gains nothing from tuning exit depth. Course project for CSE402 (UNIST), 1st / 21 students. report / code |
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Spring 2026
Shadow Boxing Tracking with 3 Devices Recognized and logged boxing motions by fusing IMU data from an earbud, phone, and smartwatch. Course project for CSE465 (UNIST), 1st in final presentation / 8 teams. report / code |
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Spring 2026
YOLOkemon App A YOLO-based Pokedex object-collection app using a post-training-quantized (PTQ) model. Course project for CSE465 (UNIST). report / video / code |
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Fall 2025
Fused Dequantization for Quantized LLM Attention CUDA kernels for 4-bit dequantization (NF4, MXFP4, NVFP4) fused into QKV projection, cutting attention latency 20–25% on RTX 3090. Course project for CSE412 (UNIST), 1st / 13 teams. report / code |
Teaching |
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Sep 2026 – Present
Teaching Assistant, HD Hyundai Heavy Industries AI Novatus Academia (PBL), UNIST Mentoring an industry team building an LLM agent that flags anomalies in large-engine shop-test reports. |
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Jul 2025 – Aug 2025
Teaching Assistant, LG Electronics Living DX Course (PBL), UNIST Graduate School of AI Mentored an industry project team analyzing customer usage logs of LG Styler's dehumidification course. |
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Design and source code from Jon Barron's website. |