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809
- Dr. Taeyoung Kim and Kayoung Son (Professor Jeongmok Seo’s research team) approved for publication in Nature Communicati
- Prof. Jungmok Seo’s research team (BLISS) developed a double-network hemostatic hydrogel that can instantly adhere to wet tissues and rapidly stop bleeding. The material can be used both as an injectable sealant and as a patch-type adhesive, presenting a versatile hemostatic platform applicable to complex wounds, including irregularly shaped or large-area defects. The results were approved for publication in 2026 Nature Communications (IF=15.7). This research was led by Prof. Jungmok Seo (corresponding author), with Dr. Tae Young Kim and Kayoung Son contributing as co-first authors.
- 전기전자공학부 2026.06.17
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808
- Paper from Prof. Bumsub Ham’s Research Team Accepted to ICML 2026
- A paper from Professor Bumsub Ham’s research team has been accepted to the International Conference on Machine Learning (ICML), one of the world’s leading conferences in artificial intelligence (h5-index = 272). This research proposes a method to alleviate positional and attentional distortion arising during the visual token reduction process for efficient inference in Multimodal Large Language Models (MLLMs). The work was led by Hyunwoo Cho as the first author under the supervision of Professor Bumsub Ham.
- 전기전자공학부 2026.06.17
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807
- Prof. Won Woo Ro’s Research Team accepted 4 papers on International Symposium on Computer Architecture (ISCA 2026)
- Four papers from Prof. Won Woo Ro’s research team (eSCaL) have been accepted on ISCA 2026, one of the most prestigious computer architecture conferences. Paper#1(ShadowUpdate), first authored by Junsung Kim, Paper#2(MXFFP), co-first authored by Sungwoo Kim and Sungbin Kim, Paper#3(SLICE), first authored by Mingu Jung, and Paper#4(PhasePoly), co-authored by Enhyeok Jang. These researches were supervised by Prof. Won Woo Ro (corresponding author & co-corresponding author)
- 전기전자공학부 2026.06.17
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806
- Prof. Youngcheol Chae’s Research Team accepted 3 papers on VLSI Symposium 2026
- Three papers from Prof. Youngcheol Chae’s research team (Yonsei Mixed-Signal IC Lab) have been accepted on VLSI Symposium 2026, one of the most prestigious VLSI conferences. Paper#1(ADC), first authored by JungHyun Yoon, Paper#2(Neural Interface), first authored by Sanghoon Lee, Paper#3(SPAD Lidar), first authored by Dongseok Cho. These researches were supervised by Prof. Youngcheol Chae (corresponding author)
- 전기전자공학부 2026.06.17
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805
- Chengjie Ma’s (Prof. Seong-Lyun Kim’s team) paper has been accepted to ICML 2026
- Prof. Kim’s research team, has had their paper “Breaking the Capacity Bottleneck in Model-Heterogeneous Federated Learning via Gradual Model Restoration” accepted to ICML 2026 (H5-Index: 272). The work identifies a key capacity bottleneck in Model-Heterogeneous Federated Learning and addresses it with Gradual Model Restoration. The work was led by Chengjie Ma and Prof. Seong-Lyun Kim (Yonsei Univ.), in cooperation with Dr. Seungeun Oh (SUTD) and Prof. Jihong Park (SUTD).
- 전기전자공학부 2026.06.17
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804
- MLSys 2026 Google Graph Scheduling Competition Track B 1st Place (Advisor: Prof. Hanjun Kim)
- Professor Hanjun Kim's research group placed 1st out of 32 teams in Track B (Agent Reasoning) of the Google Graph Scheduling Contest, an official challenge at MLSys 2026. The award was led by Hoyun Youm and Chan Lee, both integrated course students. Building on analysis of their own reference solver, the team proposed a hybrid architecture in which structural opportunities in the computation graph are pre-detected and incorporated into Gemini's prompt, while a deterministic engine performs fine-grained search.
- 전기전자공학부 2026.06.17
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803
- Shilin Lu (Prof. Hyun Jae Kim’s research team), published a paper on ACS Applied Materials & Interfaces
- Prof. Kim's research team has published a paper about “Thermally Tunable Photonic Synaptic Transistor with Bioinspired Temporal Dynamics for Task-Adaptive Neuromorphic Vision” in the ACS Applied Materials & Interfaces (IF: 8.2, JCR Top 17.9%) (2026.06.02. Accepted) This work was led by co-first authors Shilin Lu and Hongjoon Kim under the supervision of Prof. Hyun Jae Kim, and demonstrated an optosynaptic transistor capable of continuously modulating synaptic temporal responses through temperature control. The study further highlighted its potential for implementing task-adaptive neuromorphic vision systems.
- 전기전자공학부 2026.06.17
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802
- Awarded for The 2026 Brain Pool (BP) Fellowship Program Prof. Kwang Y. Lee (IEEE Life Fellow) & Prof. Jung-Wook Park
- Professor Jung-Wook Park has been selected for the 2026 Brain Pool Fellowship Program (Project title: AI-Based Stability Assessment for Next-Generation Power Systems). Professor Jung-Wook Park will invite Professor Kwang Y. Lee, a world-renowned scholar and leading expert in fields of power systems, control, and AI to collaborate on a research project for approximately three years, from July 2026 to December 2028. Professor Kwang Y. Lee was selected as a US-Yonsei Fulbright Distinguished Scholar and an Eminent Scholar of the Yonsei Frontier Lab. (YFL) and served as a chair professor/Specially appointed professor at Yonsei University in 2024.
- 전기전자공학부 2026.06.17
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801
- Ph.D. Student Jaemin Moon and Prof. Kyeon Hur Develop Grid Stability Technology for High-IBR Power Systems
- Ph.D. student Jaemin Moon and Prof. Kyeon Hur have developed a novel voltage-sensitive DER contingency screening and fast frequency reserve sizing framework for power systems with high inverter-based generation. The proposed method successfully identifies vulnerable fault locations that may cause large-scale inverter-based generation loss and determines the precise reserve required to maintain frequency stability. This breakthrough research has been accepted for publication in IEEE Transactions on Power Systems (IF: 7.2, Top 10.5% in Engineering, Electrical & Electronic category).
- 전기전자공학부 2026.06.17
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800
- Two papers from Dr. Jungin Park (BK Research Professor) has been accepted to ICML 2026
- Prof. Kwanghoon Sohn’s team proposed Video+X LLM, which enables pre-trained video LLMs to process new modality data, and saliency-aware model merging, which integrates task-specific models into a unified foundation model. Two works have been accepted to ICML 2026 (H5-Index: 272). These works were led by Dr. Jungin Park and Prof. Kwanghoon Sohn
- 전기전자공학부 2026.05.21