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26
- CHI 2026 Paper Presentations - Yonsei University School of Computing
- ✍️ Paper Titles & Authors 1. Cerebra: Aligning Implicit Knowledge in Interactive SQL Authoring - Yunfan Zhou, Qiming Shi, Zhongsu Luo, Xiwen Cai, Yanwei Huang, Dae Hyun Kim, Di Weng, Yingcai Wu 2. Challenges in Synchronous & Remote Collaboration Around Visualization - Matthew Brehmer, Maxime Cordeil, Christophe Hurter, Takayuki Itoh, Wolfgang Büschel, Mahmood Jasim, Arnaud Prouzeau, David Saffo, Lyn Bartram, Sheelagh Carpendale, Chen Zhu-Tian, Andrew Cunningham, Tim Dwyer, Samuel Huron, Masahiko Itoh, Alark Joshi, Kiyoshi Kiyokawa, Hideaki Kuzuoka, Bongshin Lee, Gabriela Molina León, Harald Reiterer, Bektur Ryskeldiev, Jonathan Schwabish, Brian A. Smith. Yasuyuki Sumi, Ryo Suzuki, Anthony Tang, Yalong Yang, and Jian Zhao 3. Data-Prompt Co-Evolution: Growing Test Sets to Refine LLM Behavior - Minjae Lee and Minsuk Kahng 4. "Do I Really Need This?": Illuminating Challenges in Integrating Computational Training Tools in Esports Coaching - Erica Kleinman, Seonho Kim, Soomin Kim, Hanbyeol Lee, Jonghyun Kim, Donghyeon Kang, Sangbeom Park, Casper Harteveld, Byungjoo Lee* 5. DiaryPlay: AI-Assisted Creation of Interactive Story Vignettes for Everyday Storytelling - Jiangnan Xu, Haeseul Cha, Gosu Choi, Gyu-cheol Lee, Yeo-Jin Yoon, Zucheul Lee, Konstantinos Papangelis, Dae Hyun Kim*, Juho Kim* 6. HyPockeTuner: Bringing Hyperparameter Optimization to Mobile Devices - Donghee Hong, Bongshin Lee, Jinwook Seo, and Jaemin Jo 7. Simulating Human Audiovisual Search Behavior - Hyunsung Cho, Xuejing Luo, Byungjoo Lee, David Lindlbauer, Antti Oulasvirta 8. Transformer Explainer: Learning LLM Transformers with Interactive Visual Explanation and Experimentation - Aeree Cho, Grace C. Kim, Alexander Karpekov, Seongmin Lee, Alec Helbling, Benjamin Hoover, Zijie J. Wang, Minsuk Kahng*, and Duen Horng Chau* 9. Understanding Spatiotemporal-Aware Multimodal Conversational Search in the Outdoor Urban Space - Jiangnan Xu, Suyeon Seo, Joni Salminen, Michael Saker, Joongi Shin, Alan Chamberlain, Konstantinos Papangelis, Dae Hyun Kim 10. Unpacking Visual Metaphors in Infographics: A Design Space - Yukai Guo, Lanxi Xiao, Xinhuan Shu, Qiong Wu, Bongshin Lee, and Shixia Liu Image Source: CHI Official Website (https://chi2026.acm.org)
- 첨단컴퓨팅학부 2026.03.23
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25
- CVPR 2026 Paper Presentations - Yonsei University School of Computing
- ✍️ Paper Titles & Authors (Main) 1. Anchoring and Rescaling Attention for Semantically Coherent Inbetweening - Tae Eun Choi*, Sumin Shim*, Junhyeok Kim, Seong Jae Hwang 2. FEAST: Fully Connected Expressive Attention for Spatial Transcriptomics - Taejin Jeong*, Joohyeok Kim*, Jinyeong Kim, Chanyoung Kim, Seong Jae Hwang 3. iLRM: An Iterative Large 3D Reconstruction Model - Gyeongjin Kang, Seungtae Nam, Xiangyu Sun, Sameh Khamis, Abdelrahman Mohamed, Eunbyung Park 4. Interpretable Motion Attentive Maps: Spatio-Temporally Localizing Concepts in Video Diffusion Transformers - Youngjun Jun, Seil Kang, Woojung Han, Seong Jae Hwang 5. Learning Personalized Photographic Style from Pairwise User Preferences - Jinwoo Kim, Jihye Yoo, Seon Joo Kim 6. Multi-view Pyramid Transformer: Look Coarser to See Broader - Gyeongjin Kang*, Seungkwon Yang*, Seungtae Nam, Younggeun Lee, Jungwoo Kim, Eunbyung Park 7. PEdit: Pareto-Guided Image Editing via Dynamic Latent Trajectory Control - Sooyeon Park*, Jaeil Park, Sung-Bae Cho 8. Uni3R: Unified 3D Reconstruction and Semantic Understanding via Generalizable Gaussian Splatting from Unposed Multi-View Images - Xiangyu Sun, Haoyi Jiang, Liu Liu, Seungtae Nam, Gyeongjin Kang, Xinjie Wang, Wei Sui, Zhizhong Su, Wenyu Liu, Xinggang Wang, Eunbyung Park 9. Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors - Subin Jeon, In Cho, Junyoung Hong, Woong Oh Cho, Seon Joo Kim 10. ViKey: Enhancing Temporal Understanding in Videos via Visual Prompting - Yeonkyung Lee*, Dayun Ju*, Youngmin Kim, Seil Kang, Seong Jae Hwang (Findings) 1. Memorization In Stable Diffusion Is Unexpectedly Driven by CLIP Embeddings - BumJun Kim, Albert No Image Source: CVPR Official Website (https://cvpr.thecvf.com)
- 첨단컴퓨팅학부 2026.03.23
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24
- ICLR 2026 Paper Presentations - Yonsei University School of Computing
- ✍️ Paper Titles & Authors 1. A2D: Any-Order, Any-Step Safety Alignment for Diffusion Language Models - Wonje Jeung*, Sangyeon Yoon*, Yoonjun Cho, Dongjae Jeon, Sangwoo Shin, Hyesoo Hong, and Albert No 2. Align to Misalign: Automatic LLM Jailbreak with Meta-Optimized LLM Judges - Hamin Koo, Minseon Kim, and Jaehyung Kim 3. CHROMA: Consistent Harmonization of Multi-View Appearance via Bilateral Grid Prediction - Jisu Shin, Richard Shaw, Seunghyun Shin, Zhensong Zhang, Hae-Gon Jeon* and Eduardo Pérez-Pellitero* 4. CompMarkGS: Robust Watermarking for Compression 3D Gaussian Splatting - Sumin In, Youngdong Jang, Utae Jeong, MinHyuk Jang, Hyeongcheol Park, Eunbyung Park, Sangpil Kim 5. Decomposed Attention Fusion in MLLMs for Training-Free Video Reasoning Segmentation - Su Ho Han, Jeongseok Hyun, Pilhyeon Lee, Minho Shim, Dongyoon Wee, Seon Joo Kim 6. Embodied Agents Meet Personalization: Investigating Challenges and Solutions Through the Lens of Memory Utilization - Taeyoon Kwon*, Dongwook Choi*, Hyojun Kim, Sunghwan Kim, Seungjun Moon, Beong-woo Kwak, Kuan-Hao Huang, Jinyoung Yeo 7. Enhancing Instruction Following of LLMs via Activation Steering with Dynamic Rejection - Minjae Kang and Jaehyung Kim 8. Hierarchical Prototype Learning for Semantic Segmentation - Seoha Lim*, Jinmyeong Kim*, Jieun Kim, Sung-Bae Cho 9. Identifying Robust Neural Pathways: Few-Shot Adversarial Mask Tuning for Vision-Language Models - Wonjeong Choi, Sejong Ryu, Jungmoon Lee, Dong-Jun Han*, Jaekyun Moon 10. Motion Prior Distillation in Time Reversal Sampling for Generative Inbetweening - Wooseok Jeon, Seunghyun Shin, Dongmin Shin and Hae-Gon Jeon 11. Multi-Feature Quantized Self-Attention for Fair Large Language Models - Jaeil Park and Sung-Bae Cho 12. Multi-turn Evaluation of Anthropomorphic Behaviours in Large Language Models - Lujain Ibrahim, Canfer Akbulut, Rasmi Elasmar, Charvi Rastogi, Minsuk Kahng, Meredith Ringel Morris, Kevin R. McKee, Verena Rieser, Murray Shanahan, and Laura Weidinger 13. Partially Equivariant Reinforcement Learning in Symmetry-Breaking Environments - Junwoo Chang, Minwoo Park, Joohwan Seo, Roberto Horowitz, Jongmin Lee*, Jongeun Choi* 14. Prior-based Noisy Text Data Filtering: Fast and Strong Alternative for Perplexity - Youngbin Seo, Gayoung Kim, Jaehyung Kim*, and Jinyoung Yeo* 15. Rainbow Padding: Mitigating Early Termination in Instruction-Tuned Diffusion LLMs - Bumjun Kim*, Dongjae Jeon*, Dueun Kim*, Wonje Jeung, and Albert No 16. Rethinking Benign Relearning: Syntax as the Hidden Driver of Unlearning Failures - Sangyeon Yoon, Hyesoo Hong, Wonje Jeung, and Albert No 17. RPM: Reasoning-Level Personalization for Black-Box Large Language Models - Jieyong Kim*, Tongyoung Kim*, Soojin Yoon, Jaehyung Kim, and Dongha Lee 18. Scalable Offline Model-Based RL with Action Chunks - Kwanyoung Park, Seohong Park, Youngwoon Lee, Sergey Levine 19. TiTok: Transfer Token-level Knowledge via Contrastive Excess to Transplant LoRA - Chanjoo Jung and Jaehyung Kim 20. TwinVLA: Data-Efficient Bimanual Manipulation with Twin Single-Arm Vision-Language-Action Models - Hokyun Im, Euijin Jeong, Andrey Kolobov, Jianlong Fu, Youngwoon Lee 21. Video Scene Segmentation with Genre and Duration Signals - Jungu Cho, Seong Jong Ha and Hae-Gon Jeon Image Source: ICLR Official Website (https://iclr.cc)
- 첨단컴퓨팅학부 2026.03.23
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23
- NeurIPS 2025 Paper Presentations - Yonsei University School of Computing
- ✍️ Paper Titles & Authors (Spotlight) 1. Fast and Fluent Diffusion Language Models via Convolutional Decoding and Rejective Fine-tuning - Yeongbin Seo, Dongha Lee, Jaehyung Kim, Jinyoung Yeo* 2. Web-Shepherd: Advancing PRMs for Reinforcing Web Agents - Hyungjoo Chae, Sunghwan Kim, Junhee Cho, Seungone Kim, Seungjun Moon, Gyeom Hwangbo , Dongha Lim, Minjin Kim, Yeonjun Hwang, Minju Gwak, Dongwook Choi, Minseok Kang, Gwanhoon Im, ByeongUng Cho, Hyojun Kim, Jun Hee Han, Taeyoon Kwon, Minju Kim, Beong-woo Kwak, Dongjin Kang, Jinyoung Yeo* 1. Controllable 3D Molecular Generation for Structure-Based Drug Design Through Bayesian Flow Networks and Gradient Integration - Seungyeon Choi, Hwanhee Kim, Chihyun Park, Dahyeon Lee, Seungyong Lee, Yoonju Kim, Hyoungjoon Park, Sein Kwon, Youngwan Jo, Sanghyun Park* 2. FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning - Woosung Kim, Jinho Lee, Jongmin Lee*, Byung-Jun Lee* 3. Improved Algorithms for Overlapping and Robust Clustering of Edge-Colored Hypergraphs: An LP-Based Combinatorial Approach - Changyeol Lee, Yongho Shin, Hyung-Chan An 4. Information-Theoretic Discrete Diffusion - Moongyu Jeon, Sangwoo Shin, Dongjae Jeon, Albert No 5. Interpreting vision transformers via residual replacement model - Jinyeong Kim*, Junhyeok Kim*, Yumin Shim, Joohyeok Kim, Sunyoung Jung, Seong Jae Hwang 6. Optimized Minimal 3D Gaussian Splatting - Joo Chan Lee, Jong Hwan Ko*, Eunbyung Park* 7. Rare Text Semantics Were Always There in Your Diffusion Transformer - Seil Kang*, Woojung Han*, Dayun Ju, Seong Jae Hwang 8. Robot-R1: Reinforcement Learning for Enhanced Embodied Reasoning in Robotics - Dongyoung Kim, Sumin Park, Huiwon Jang, Jinwoo Shin, Jaehyung Kim*, Younggyo Seo* 9. SAFEPATH: Preventing Harmful Reasoning in Chain-of-Thought via Early Alignment - Wonje Jeung, Sangyeon Yoon, Minsuk Kahng*, Albert No* 10. VideoTitans: Scalable Video Prediction with Integrated Short- and Long-term Memory - Young-Jae Park, Minseok Seo and Hae-Gon Jeon For more details, visit the NeurIPS official website https://neurips.cc
- 첨단컴퓨팅학부 2025.10.10
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22
- EMNLP 2025 Paper Presentations - Yonsei University School of Computing
- ✍️ Paper Titles & Authors 1. AmpleHate: Amplifying the Attention for Versatile Implicit Hate Detection - Yejin Lee, Joonghyuk Hahn, Hyeseon Ahn and Yo-Sub Han 2. Can Large Language Models be Effective Online Opinion Miners? - Ryang Heo, Yongsik Seo, Junseong Lee, Dongha Lee 3. Improving Chemical Understanding of LLMs via SMILES Parsing - Yunhui Jang, Jaehyung Kim, Sungsoo Ahn 4. Mondrian: A Framework for Logical Abstract (Re)Structuring - Elizabeth Grace Orwig, Shinwoo Park, Hyundong Jin and Yo-Sub Han 5. Personalized Language Models via Privacy-Preserving Evolutionary Model Merging - Kyuyoung Kim, Jinwoo Shin, Jaehyung Kim 6. Personalized LLM Decoding via Contrasting Personal Preference - Hyungjune Bu*, Chanjoo Jung*, Minjae Kang, Jaehyung Kim 7. R-TOFU: Unlearning in Large Reasoning Models - Sangyeon Yoon, Wonje Jeung, Albert No 8. SEPS: A Separability Measure for Robust Unlearning in LLMs - Wonje Jeung*, Sangyeon Yoon*, Albert No (Findings) 1. LLMAP: LLM-Assisted Multi-Objective Route Planning with User Preferences - Liangqi Yuan, Dong-Jun Han, Christopher Brinton, and Sabine Brunswicker 2. Can Code-Switched Texts Activate a Knowledge Switch in LLMs? A Case Study on English-Korean Code-Switching - Seoyeon Kim, Huiseo Kim, Chanjun Park, Jinyoung Yeo, Dongha Lee 3. CodeComplex: Dataset for Worst-Case Time Complexity Prediction - SeungYeop Baik, Joonghyuk Hahn, Jungin Kim, Aditi, Mingi Jeon, Yo-Sub Han and Sang-Ki Ko 4. How Diversely Can Language Models Solve Problems? Exploring the Algorithmic Diversity of Model-Generated Code - Seonghyeon Lee, Heejae Chon, Joonwon Jang, Dongha Lee*, Hwanjo Yu* 5. PRINCIPLES: Synthetic Strategy Memory for Proactive Dialogue Agents - Namyoung Kim, Kai Tzu-iunn Ong, Yeonjun Hwang, Minseok Kang, Iiseo Jihn, Gayoung Kim, Minju Kim, Jinyoung Yeo* 6. Stop Playing the Guessing Game! Target-Free User Simulation for Evaluating Conversational Recommender Systems - Sunghwan Kim*, Kwangwook Seo*, Tongyoung Kim*, Jinyoung Yeo, Dongha Lee 7. ToolHaystack: Stress-Testing Tool-Augmented Language Models in Realistic Long-Term Interactions - Beong-woo Kwak, Minju Kim, Dongha Lim, Hyungjoo Chae, Dongjin Kang, Sunghwan Kim, Dongil Yang, Jinyoung Yeo* 8. Towards Personalized Conversational Sales Agents: Contextual User Profiling for Strategic Action - Tongyoung Kim*, Jeongeun Lee*, Soojin Yoon, Seonghwan Kim, Dongha Lee 9. TrapDoc: Deceiving LLM Users by Injecting Imperceptible Phantom Tokens into Documents - Hyundong Jin, Sicheol Sung, Shinwoo Park, SeungYeop Baik and Yo-Sub Han For more details, visit the EMNLP 2025 homepage https://2025.emnlp.or
- 첨단컴퓨팅학부 2025.10.10
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21
- ICCV 2025 Paper Presentations - Yonsei University School of Computing
- ✍️ Paper Titles & Authors (Highlight) 1. Inverse Image-Based Rendering for Light Field Generation from Single Images - Hyunjun Jung and Hae-Gon Jeon 2. Test-Time Prompt Tuning for Zero-Shot Depth Completion - Chanhwi Jeong, Inhwan Bae, Jin-Hwi Park and Hae-Gon Jeon 1. CCMNet: Leveraging Calibrated Color Correction Matrices for Cross-Camera Color Constancy - Dongyoung Kim, Mahmoud Afifi, Dongyun Kim, Michael S. Brown, Seon Joo Kim 2. CRAIM: Caption-Based Autonomous Driving Scene Retrieval via Inclusive Text Matching - Minjoo Ki, Dae Jung Kim, Kisung Kim, Seon Joo Kim, Jinhan Lee 3. ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors - Minsu Kim, Subin Jeon, In Cho, Mijin Yoo, Seon Joo Kim 4. Fuzzy Contrastive Decoding to Alleviate Object Hallucination in Large Vision-Language Models - Jieun Kim, Jinmyeong Kim, Yoonji Kim and Sung-Bae Cho 5. Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs - Jeongseok Hyun, Sukjun Hwang, Su Ho Han, Taeoh Kim, Inwoong Lee, Dongyoon Wee, Joon-Young Lee, Seon Joo Kim*, Minho Shim* 6. Open-ended Hierarchical Streaming Video Understanding with Vision Language Models - Hyolim Kang, Yunsu Park, Youngbeom Yoo, Yeeun Choi, Seon Joo Kim 7. Representing 3D Shapes with 64 Latent Vectors for 3D Diffusion Models - In Cho, Youngbeom Yoo, Subin Jeon, Seon Joo Kim 8. Seam360GS: Seamless 360° Gaussian Splatting from Real-World Omnidirectional Images - Changha Shin, Woong Oh Cho, Seon Joo Kim 9. Video Color Grading via Look-Up Table Generation - Seunghyun Shin, Dongmin Shin, Jisu Shin, Hae-Gon Jeon* and Joon-Young Lee* 10. WAVE: Warp-Based View Guidance for Consistent Novel View Synthesis Using a Single Image - Jiwoo Park, Tae Eun Choi, Youngjun Jun, Seong Jae Hwang For more details, visit the ICCV conference site. https://iccv.thecvf.com
- 첨단컴퓨팅학부 2025.10.10
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20
- Sonic Labs Provides Further Funding to Prof. Burgstaller's Research Lab to Drive Blockchain Virtual Machine Innovation
- Sonic Labs Provides Further Funding to Prof. Burgstaller's Research Lab to Drive Blockchain Virtual Machine Innovation Sept. 18, 2025 The Embedded Systems Languages and Compilers (ELC) Lab at Yonsei University has received an unrestricted gift of $70,000 from Sonic Labs, the core development team behind Sonic, a high-performance EVM layer-1 blockchain. This raises Sonic Labs's total giving to the ELC lab to $150,000. ``The ELC lab significantly contributed to the off-chain testing technology for smart contracts, which effectively reduced end-to-end tests of our blockchain from several weeks to a few hours,'' said Michael Kong, CEO of Sonic Labs. ``Their method has largely improved the testability of blockchain virtual machine infrastructures, thereby addressing a real need with today's fast-moving DeFi sector.'' The new gift will be instrumental in devising space-efficient state representations that facilitate the execution of transactions in isolation and at scale. ``We are deeply grateful for the confidence shown by Sonic Labs. Their commitment to an unrestricted gift underscores their commitment to blockchain research and the need for a scalable testing infrastructure for the next generation of DeFi applications'' stated Prof. Burgstaller, director of the ELC lab. Sonic is the highest-performing EVM blockchain platform. It is innovating within the blockchain industry and helping augment existing public distributed ledger technology. Sonic Labs: https://soniclabs.com/ ELC Lab: https://elc.yonsei.ac.kr/
- 첨단컴퓨팅학부 2025.09.18
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19
- Professor Hyung‑Chan An’s Research Team Has a Paper Accepted to FOCS 2025
- A joint research paper by Professor Hyung‑Chan An’s team at Yonsei University and Professor Mong‑Jen Kao’s team at National Yang‑Ming Chiao‑Tung University, titled “Handling LP‑Rounding for Hierarchical Clustering and Fitting Distances by Ultrametrics,” has been accepted to FOCS 2025 (IEEE Symposium on Foundations of Computer Science)—one of the most prestigious conferences in theoretical computer science. FOCS is recognized as a premier venue where the world’s leading researchers present breakthroughs in algorithms, complexity theory, and other core areas of computer science. This achievement once again demonstrates our department’s internationally recognized research strength in theoretical computer science. The paper introduces a new algorithmic technique for hierarchical clustering, advancing the state of research in this area. It will be presented at FOCS 2025 in December. Conference: https://focs.computer.org/2025/accepted-papers/ Preprint: https://arxiv.org/abs/2504.06700
- 첨단컴퓨팅학부 2025.08.01
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18
- Professor Hojung Cha’s Research Team Wins Best Paper Award at ACM MobiSys 2025, the Top Conference in Mobile Systems
- The research team led by Professor Hojung Cha from the Department of Computer Science and Engineering at Yonsei University has received the Best Paper Award at ACM MobiSys 2025, the world's most prestigious conference in the field of mobile systems. The conference was held in Anaheim, California, USA, from June 23 to 27. Their award-winning paper, titled "ARIA: Optimizing Vision Foundation Model Inference on Heterogeneous Mobile Processors for Augmented Reality" (Authors: Chanyoung Jung, Jeho Lee, Geonjung Kim, Jiweon Kim, Sunghoon Park, and Hojung Cha), proposes a groundbreaking system that significantly accelerates on-device inference performance of vision foundation models (VFMs) for high-quality, real-time visual prediction in mobile augmented reality (AR) applications. By leveraging the heterogeneity of mobile processors equipped with GPUs and NPUs, and applying parallel and selective inference techniques, the research team successfully designed a system that maintains both prediction accuracy and real-time performance for complex VFMs on mobile devices. The originality and technical excellence of this work were highly recognized by the conference. This research marks a significant technological advancement essential for enabling immersive and high-quality mobile AR experiences, and it is expected to contribute greatly to the future development of mobile AI and AR technologies. Winning the Best Paper Award at the most influential international conference in mobile systems and computing not only demonstrates the global competitiveness of Korean research in this field but also serves as a representative achievement proving that Yonsei University's School of Computing is leading the way in world-class research and global talent development. [Conference link: https://www.sigmobile.org/mobisys/2025/accepted_papers/] [Paper link: https://mobed.yonsei.ac.kr/mobed_pages/pdf/aria-mobisys25.pdf] [Go to Yonsei News] [Read Article]
- 첨단컴퓨팅학부 2025.07.03
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17
- Three Papers from Yonsei University’s School of Computing Accepted at ICML 2025!
- Yonsei University to Present Groundbreaking Machine Learning Research at ICML 2025! Yonsei University's cutting-edge AI research is gaining global recognition. Several papers by our university’s faculty members have been accepted for presentation at the upcoming International Conference on Machine Learning (ICML 2025), to be held in Vancouver, Canada from July 13 to 19, 2025. ICML is one of the world’s top three AI conferences, alongside NeurIPS and ICLR. Only a select few papers are accepted for presentation following a rigorous review process from thousands of global submissions. ICML 2025 will serve as a dynamic platform for exchanging the latest research with leading scholars in machine learning from around the world. Accepted Papers from Yonsei University at ICML 2025: 1. Bayesian Neural Scaling Laws Extrapolation with Prior-Fitted Networks - Dongwoo Lee*, Dong Bok Lee*, Steven Adriaensen, Juho Lee, Sung Ju Hwaang, Frank Hutter, Seon Joo Kim, Hae Beom Lee 2. ReVISE: Learning to Refine at Test-Time via Intrinsic Self-Verification - Hyunseok Lee, Seunghyuk Oh, Jaehyung Kim, Jinwoo Shin, and Jihoon Tack 3. Understanding and Mitigating Memorization in Generative Models via Sharpness of Probability Landscapes (Spotlight (top 2.6%)) - Dongjae Jeon*, Dueun Kim*, and Albert No Looking Ahead: ICML 2026 in Seoul! This achievement is just the beginning. ICML 2026 will be held in Seoul, South Korea, offering a remarkable opportunity for Korea—and Yonsei University—to take center stage in global AI research. This promotional post is based on official ICML 2025 information. Specific presentation schedules and paper details will be announced through the conference website and official channels at a later date. Image source: https://europe.naverlabs.com/updates/icml-2024
- 첨단컴퓨팅학부 2025.06.27