Seminars | Sundong Kim

If you’re interested in our lab, feel free to join our sessions!

Activity	Time	Venue	Organizer
Journal Club (Public)	Fri 10:30 AM	TED-Hall, AI Bldg (S7), GIST	Jihwan Lee
ARC-Chat (Public)	Fri 1:00 PM	TED-Hall, AI Bldg (S7), GIST	Jiwon Park
Joint Reading Group	Wed 9:00 AM	with UBC & KAIST (Zoom)	Woochang Sim

We regularly host invited talks from visiting speakers. If you’d like to give a talk/visit our lab, please contact me. (How to visit)

Mar 6, 2026: An HCI Perspective on Extended Reality. Hyunjeong Kim (Hansung University)
Feb 27, 2026: Composable and Modular Control in Large Language Models. Seungeon Lee (MPI-SWS)
Feb 12, 2026: Using Satellite Imagery for Economic Indicator Prediction. Sungwon Park (MPI-SP)
Jan 28, 2026: 다들 처음엔 몰랐어요, 알았으면 덜 헤맸을 대학원 생활. Yujin Choi (GIST)
Jan 23, 2026: Referring Image Segmentation. Seonghoon Yu (GIST)
Jan 22, 2026: Measuring Intelligence with Interactive Reasoning Benchmark. Laura Mascarell (GIST)

Sep 19, 2025: Scalable Data Valuation for the Generative AI Era, Xiaoxiao Li (UBC)
Aug 14, 2025: ARC-AGI 및 범용인공지능 연구 동향: 인간의 유비 추론 접근 방식을 바탕으로. Sejin Kim (GIST)
Jul 31, 2025: 미리 알았으면 좋았을 대학원 생활. Inhwan Bae (GIST)
Jul 24, 2025: My PhD Journey & AI for Social Goods. Sungwon Han (GIST, now at Meta)
Jun 11, 2025: Multi-Objective Reinforcement Learning. Giseung Park (University of Toronto)
May 26, 2025: Brain-inspired AI. Jea Kwon (MPI-SP)
May 1, 2025: Towards Responsible Artificial General Intelligence (AGI) for Healthcare. Xiaoxiao Li (UBC)
Feb 20, 2025: 대학원 생활에서의 경험과 조언. Jin-Hwi Park (Chung-Ang University)

May 28, 2024: Data Collection for Training Human-Like AI (a.k.a. O2ARC 3.0). Suyeon Shim & Dohyun Ko
May 14, 2024: Feature Store for Real Time Recommender Systems. Geonwoo Cho (HyperConnect)
May 7, 2024: Optimizing Deep Learning Model Serving for Low Latency Inference, Sewon Kim (NC AI)
Apr 23, 2024: Developing LLM-Guided Semantic Search Engine. Doyoon Song (Toggle)
Mar 28, 2024: 스타트업에서 머신러닝의 활용 시도에 대한 케이스 스터디. Hayan Choi (VtoV)
Mar 22, 2024: Tackling AI Challenges with Social Science Insights. Xing Xie (Microsoft Research Asia)
Mar 22, 2024: Towards Responsible Large Language Models. Fangzhao Wu (Microsoft Research Asia)
Mar 22, 2024: Making Discoveries for Humanity and Society with Data Science. Meeyoung Cha (IBS)
Mar 22, 2024: Generative AI is Not Explainable AI. Seungeon Lee (KAIST)
Feb 29, 2024: Reinforcement Learning via Duality. Byung-Jun Lee (Korea University)

Dec 1, 2023: Continual Learning. Hwanjun Song (KAIST)
Nov 12, 2023: Continual Learning. Dongmin Park (KAIST)
Oct 19, 2023: 링글 AI. Sungpah Lee (Ringle)
Jul 20, 2023: Developing Deep Learning Methods for Protein Design. Luiz Felipe Vecchietti (IBS)
Jul 20, 2023: Embedding Learning for Very Low-Resolution Face Recognition. Cheng-Yaw Low (IBS)
May 25, 2023: MLOps and Use Cases at MakinaRocks. Youngsub Lim (MakinaRocks)
May 18, 2023: Trustworthy Federated Learning. Sungwon Han (KAIST)
May 15, 2023: KoAlpaca: Advancing Korean LMs through Instruction-Following. Junbum Lee
May 11, 2023: Fine-Tuning Instability and Non-Termination in LLMs. Cheolhyoung Lee (NYU)
Apr 6, 2023: MLOps at Naver Shopping. Byeongjo Kim and Shengzhe Li (NAVER)
Mar 30, 2023: Developing Machine Learning Systems at Naver Shopping. Wonyoung Shin (NAVER)
Mar 23, 2023: Together We Rise: The Intersection of Deep Learning and X. Karandeep Singh (IBS)
Mar 16, 2023: Continuous Event Detection and Summarization from Streaming Data. Susik Yoon (UIUC)
Mar 9, 2023: Modeling User Preference for Information Retrieval. Dongmin Hyun (POSTECH)
Mar 2, 2023: Tips for Presenting at International Conferences. Tim Thompson (Archer Consulting)
Feb 3, 2023: Research Trends in NLP at Naver AI Lab. Hwaran Lee (NAVER AI Lab)
Jan 19, 2023: Trustworthy Federated Learning. Sungwon Park & Sungwon Han (KAIST)