Jung-Woo Ha

Now, artificial intelligence (AI) is considered a new era beyond a technology. Advancement of machine learning, in particular, deep learning, enables many new products and services which can give new values and happiness to people, including AI-speakers, autonomous vehicles, and so on. The appearance of foundation models and their astonishing applications, such as ChatGPT and Bard, accelerates the speeed of the pardigm shift toward AI era. As the head of NAVER Cloud Innovation Center and a research fellow of NAVER AI LAB, I am dreaming that our efforts on AI research make people happier. AI for Everyone!

• Personal Information
  • E-mail: jungwoo.ha at navercorp.com, hjw9096 at gmail.com
  • SNS Facebook, LinkedIn, Twitter
  • Academic: Google scholar, Github

• Research Interests
  • Foundation models and their applications, AI Safety.
  • Machine learning / Deep learning / Artificial intelligence: general-purpose, self-supervised, continual learning, graph representation learning, lightweight, perception & semantics, and data-centric approaches
  • Computer vision: transformer-based CV, classification, backbone architecture, detection, high-quality generation, I2I translation, etc.
  • Natural language processing: large-scale LM, embedding, semantic representation, Q&A, dialog modeling, NLU, etc.
  • Audio signal modeling: large-scale ASR, speech-to-text, spoken language understanding, text-to-speech, speech style transfer, speech enhancement, musical signal modeling, etc.

• Education
  • BS (2004. 2): Computer Science, Seoul National University
  • PhD (2015. 2): Computer Science, Seoul National University (Outstanding PhD dissertation award)
• Experiences
  • 2003.12 ~ 2006.01: SW Engineer, Samsung SDS
  • 2008.05 ~ 2015.12: System administrator, College of Engineering, Seoul National University
  • 2012.8 ~ 2013.12: Lecturer, Seoul National University of Education
  • 2015.3 ~ 2016.12: Research Scientist & Tech Lead, NAVER LABS
  • 2016.10 ~ 2017. 5: PM & Leader, CLOVA Music, NAVER & LINE.
  • 2017.1 ~ 2020.2: Research Head of Clova AI, NAVER & LINE
  • 2020.3 ~ 2020.9: Research Head of Clova AI (Executive director), NAVER
  • 2020.10 ~ 2022.12: Head, NAVER CLOVA AI LAB
  • 2021.5 ~ 2023.6: Co-Director, SNU-NAVER Hyperscale AI Center
  • 2021.5 ~ 2023.6: Co-Director, KAIST-NAVER Hypercreative AI Center
  • 2021.10 ~ 2023.2: Coordination Chair, NAVER AI Tech Committee
  • 2023. 1 ~ 2023.4: Head, NAVER AI Lab @ NAVER Cloud
  • 2023. 1 ~ present: Research Head, NAVER Cloud
  • 2023. 1 ~ present: Committee member, NAVER Cloud Strategy Committee
  • 2023. 4 ~ present: Head, NAVER Cloud AI Innovation
  • 2023. 4 ~ present: Research fellow, NAVER AI Lab
  • 2023. 9 ~ present: Adjunct associate professor, The Hong Kong University of Science and Technology (GZ)
  • 2024. 1 ~ present: Head, Future AI Center, NAVER

• Selected Publications
  1. Woomin Song (KAIST), Seunghyuk Oh (KAIST), Sangwoo Mo (University of Michigan), Jaehyung Kim (KAIST), Sukmin Yun (MBZUAI), Jung-Woo Ha (NAVER AI Lab, NAVER Cloud), Jinwoo Shin (KAIST). Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs. ICLR 2024.
  2. Jaehyung Kim (KAIST), Jaehyun Nam (KAIST), Sangwoo Mo (University of Michigan), Jongjin Park (KAIST), Sang-Woo Lee (NAVER Cloud), Minjoon Seo (KAIST), Jung-Woo Ha (NAVER AI Lab, NAVER Cloud), Jinwoo Shin (KAIST). SuRe: Improving Open-domain Question Answering of LLMs via Summarized Retrieval. ICLR 2024.
  3. Jaemin Na (Ajou Univ.), Jung-Woo Ha (NAVER AI Lab, NAVER Cloud), Hyung Jin Chang(University of Birmingham), Dongyoon Han (NAVER AI Lab), Wonjun Hwang (Ajou Univ.). Switching Temporary Teachers for Semi-Supervised Semantic Segmentation. NeurIPS 2023.
  4. Jaewoong Lee (KAIST), Sangwon Jang (Younsei Univ.), Jaehyeong Jo (KAIST), Jaehong Yoon (KAIST), Yunji Kim (NAVER AI Lab), Jin-Hwa Kim (NAVER AI Lab), Jung-Woo Ha (NAVER AI Lab, NAVER Cloud), Sung Ju Hwang (KAIST, AI TRICS). Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models. ICCV 2023.
  5. Yunji Kim (NAVER AI Lab), Jiyoung Lee (NAVER AI Lab), Jin-Hwa Kim (NAVER AI Lab), Jung-Woo Ha (NAVER AI Lab, NAVER Cloud), Jun-Yan Zhu (CMU). Dense Text-to-Image Generation with Attention Modulation. ICCV 2023.
  6. Hwaran Lee* (NAVER AI Lab, NAVER Cloud), Seokhee Hong* (SNU), Joonsuk Park (NAVER AI Lab, NAVER Cloud), Takyoung Kim (NAVER AI Lab), Gunhee Kim (SNU) and Jung-Woo Ha (NAVER AI Lab, NAVER Cloud). KoSBI: A Dataset for Mitigating Social Bias Risks Towards Safer Large Language Model Applications. ACL 2023 Industrial Track.
  7. Hwaran Lee (NAVER AI Lab, NAVER Cloud), Seokhee Hong (SNU), Joonsuk Park (NAVER AI Lab, NAVER Cloud), Takyoung Kim (NAVER AI Lab, NAVER Cloud), Meeyoung Cha (KAIST), Yejin Choi (UW), BYOUNGPIL KIM (KAIST), Gunhee Kim (SNU), Eun-Ju Lee (SNU), Yong Lim (SNU), Alice Oh (KAIST), Sangchul Park (SNU) and Jung-Woo Ha (NAVER AI Lab, NAVER Cloud). SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created through Human-Machine Collaboration. ACL 2023.
  8. Deokjae Lee (SNU), JunYeong Lee (SNU), Jung-Woo Ha (NAVER AI Lab, NAVER Cloud), Jin-Hwa Kim (NAVER AI Lab, NAVER Cloud), Sang-Woo Lee (NAVER AI Lab, NAVER Cloud), Hwaran Lee (NAVER AI Lab, NAVER Cloud) and Hyun Oh Song (SNU). Query-Efficient Black-Box Red Teaming via Bayesian Optimization. ACL 2023.
  9. Kyuyong Shin (NAVER AX, NAVER Cloud), Hanock Kwak (NAVER AX, NAVER Cloud), Wonjae Kim (NAVER AI Lab, NAVER Cloud), Jisu Jeong (NAVER AX, NAVER Cloud), Seungjae Jung (NAVER AX, NAVER Cloud), Kyungmin Kim (NAVER AX, NAVER Cloud), Jung-Woo Ha (NAVER AI Lab, NAVER Cloud) and Sang-Woo Lee(NAVER AI Lab, NAVER Cloud). Pivotal Role of Language Modeling in Recommender Systems: Enriching Task-specific and Task-agnostic Representation Learning. ACL 2023.
  10. Jiyeon Han (KAIST), Hwanil Choi (KAIST), Yunjey Choi (NAVER AI Lab), Junho Kim (NAVER AI Lab), Jung-Woo Ha (NAVER AI Lab), Jaesik Choi (NAVER AI Lab).
      Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images. ICLR 2023 (Notable-Top-25%).
  11. Hyunseo Koh (GIST), Minhyuk Seo (Yonsei Univ.), Jihwan Bang (NAVER Cloud), Hwanjun Song (NAVER AI Lab), Deokki Hong (Yonsei Univ.), Seulki Park (SNU), Jung-Woo Ha (NAVER AI Lab), Jonghyun Choi (Yonsei Univ. & NAVER AI Lab).
      Online Boundary-Free Continual Learning by Scheduled Data Prior. ICLR 2023.
  12. Dong Bok Lee (KAIST), Seanie Lee (KAIST), Kenji Kawaguchi (National Univ. of Singapore), Yunji Kim (NAVER AI Lab), Jihwan Bang (NAVER Cloud), Jung-Woo Ha (NAVER AI Lab), Sung Ju Hwang (KAIST).
      Self-Supervised Set Representation Learning for Unsupervised Meta-Learning. ICLR 2023.
  13. Kyuyong Shin (NAVER), Hanock Kwak (NAVER), Su Young Kim (NAVER), Max Nihlen Ramstrom (NAVER), Jisu Jeong (NAVER), Jung-Woo Ha (NAVER AI Lab), Kyung-Min Kim (NAVER). Scaling Law for Recommendation Models: Towards General-purpose User Representations. AAAI 2023.
  14. Se Jung Kwon (NAVER CLOVA), Jeonghoon Kim (NAVER CLOVA), Jeongin Bae (NAVER CLOVA), Kang Min Yoo (NAVER AI Lab), Jin-Hwa Kim (NAVER AI Lab), Baeseong Park (NAVER CLOVA), Byeongwook Kim (NAVER CLOVA), Jung-Woo Ha (NAVER AI Lab), Nako Sung (NAVER CLOVA), Dongsoo Lee (NAVER CLOVA). AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models. Findings in EMNLP 2022.
  15. Balhae Kim (KAIST), Jungwon Choi (KAIST), Seanie Lee (KAIST), Yoonho Lee (Stanford Univ.), Jung-Woo Ha, Juho Lee (KAIST). On Divergence Measures for Bayesian Pseudocoresets. NeurIPS 2022.
  16. Xiaodong Gu (Shanghai Jiao Tong Univ.), Zhaowei Zhang (Shanghai Jiao Tong Univ.), Sang-Woo Lee (NAVER CLOVA), Kang Min Yoo (NAVER AI Lab), Jung-Woo Ha (NAVER AI Lab), Continuous Decomposition of Granularity for Neural Paraphrase Generation. COLING 2022.
  17. Gayoung Lee (NAVER CLOVA, AI Lab), Hyunsu Kim (NAVER CLOVA, AI Lab), Junho Kim (NAVER CLOVA, AI Lab), Seonghyeon Kim (NAVER CLOVA), Jung-Woo Ha (NAVER CLOVA, AI Lab), Yunjei Choi (NAVER CLOVA, AI Lab). Generator Knows What Discriminator Should Learn in Unconditional GANs. ECCV 2022.
  18. Seong Hyeon Park (KAIST), Jihoon Tack (KAIST), Byeongho Heo (NAVER CLOVA, AI Lab), Jung-Woo Ha (NAVER CLOVA, AI Lab), Jinwoo Shin (KAIST), K-centered Patch Sampling for Efficient Video Recognition. ECCV 2022.
  19. Jang-Hyun Kim (SNU), Jinuk Kim (SNU), Seong Joon Oh ( NAVER CLOVA, AI Lab ), Sangdoo Yun ( NAVER CLOVA, AI Lab ), Hwanjun Song ( NAVER CLOVA, AI Lab ), Joonhyun Jeong (NAVER Clova), Jung-Woo Ha ( NAVER CLOVA, AI Lab ), Hyun Oh Song (SNU). Dataset Condensation via Efficient Synthetic-Data Parameterization. ICML 2022.
  20. Sukmin Yun ( KAIST ), Jaehyung Kim ( KAIST ), Dongyoon Han ( NAVER CLOVA, AI Lab ), Hwanjun Song ( NAVER CLOVA, AI Lab ), Jung-Woo Ha ( NAVER CLOVA, AI Lab), Jinwoo Shin ( KAIST ). Time Is MattEr: Temporal Self-supervision for Video Transformers. ICML 2022.
  21. Sungjin Shin, Sang-Woo Lee, Hwijeen Ahn, Sungdong Kim, HyoungSeok Kim, Boseop Kim, Kyunghyun Cho, Gichang Lee, Woomyoung Park, Jung-Woo Ha, Nako Sung. On the Effect of Pretraining Corpora on In-context Few-shot Learning by a Large-scale Language Model. NAACL 2022 (long paper)
  22. Jihwan Bang (NAVER CLOVA),Hyunseo Koh (GIST & NAVER AI Lab intern),Seulki Park (SNU & NAVER AI Lab intern),Hwanjun Song (NAVER AI Lab), Jung-Woo Ha (NAVER AI Lab), Jonghyun Choi (Yonsei U. & NAVER AI Lab). Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries. CVPR 2022.
  23. Yeon Seonwoo (KAIST), Juhee Son (KAIST), Jiho Jin (KAIST), Sang-Woo Lee (NAVER CLOVA), Ji-Hoon Kim (NAVER CLOVA), Jung-Woo Ha (NAVER AI Lab), Alice Oh (KAIST). Two-Step Question Retrieval for Open-Domain QA. Findings in ACL 2022.
  24. Yunji Kim (NAVER AI Lab), Jung-Woo Ha (NAVER AI Lab). Contrastive Fine-grained Class Clustering via Generative Adversarial Networks. ICLR 2022 (Spotlight).
  25. Sihyun Yu (KAIST), Jihoon Tack (KAIST), Sangwoo Mo (KAIST), Hyunsu Kim (NAVER AI Lab), Junho Kim (NAVER AI Lab), Jung-Woo Ha (NAVER AI Lab), Jinwoo Shin (KAIST). Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks. ICLR 2022.
  26. Hyunseo Koh (GIST, NAVER AI Lab), Dahyun Kim (GIST, NAVER AI Lab), Jung-Woo Ha (NAVER AI Lab), Jonghyun Choi (GIST, NAVER AI Lab). Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference. ICLR 2022.
  27. Hyeonjin Park (Korea Univ.), Seunghun Lee (Korea Univ.), Sihyeon Kim (Korea Univ.), Jinyoung Park, Jisu Jeong, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim (Korea Univ.).
      Metropolis-Hastings Data Augmentation for Graph Neural Networks. NeurIPS 2021.
  28. Boseop Kim, HyoungSeok Kim, Sang-Woo Lee, Gichang Lee, Donghyun Kwak, Jeon Dong Hyeon, Sunghyun Park, Sungju Kim, Seonhoon Kim, Dongpil Seo, Heungsub Lee, Minyoung Jeong, Sungjae Lee, Minsub Kim, Suk Hyun Ko, Seokhun Kim, Taeyong Park, Jinuk Kim, Soyoung Kang, Na-Hyeon Ryu, Kang Min Yoo, Minsuk Chang, Soobin Suh, Sookyo In, Jinseong Park, Kyungduk Kim, Hiun Kim, Jisu Jeong, Yong Goo Yeo, Donghoon Ham, Dongju Park, Min Young Lee, Jaewook Kang, Inho Kang, Jung-Woo Ha, Woomyoung Park and Nako Sung. What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers. EMNLP 2021.
  29. Sungjoon Park, Jihyung Moon, Sungdong Kim, Won Ik Cho, Jiyoon Han, Jangwon Park, Chisung Song, Junseong Kim, Yongsook Song, Taehwan Oh, Joohong Lee, Juhyun Oh, Sungwon Lyu, Younghoon Jeong, Inkwon Lee, Sangwoo Seo, Dongjun Lee, Hyunwoo Kim, Myeonghwa Lee, Seongbo Jang, Seungwon Do, Sunkyoung Kim, Kyungtae Lim, Jongwon Lee, Kyumin Park, Jamin Shin, Seonghyun Kim, Lucy Park, Alice Oh, Jung-Woo Ha, Kyunghyun Cho. KLUE: Korean Language Understanding Evaluation. NeurIPS 2021 Dataset & Benchmar Track. 2021.
  30. Yeon Seonwoo, Sang-Woo Lee, Ji-Hoon Kim, Jung-Woo Ha, Alice Oh.
      Weakly Supervised Pre-Training for Multi-Hop Retriever. Findings in ACL 2021.
  31. Jihwan Bang, Heesu Kim, YoungJoon Yoo, Jung-Woo Ha, Jonghyun Choi
      Rainbow Memory: Continual Learning with a Memory of Diverse Samples. CVPR 2021.
  32. Minjeong Kim, Gyuwan Kim, Sang-Woo Lee, Jung-Woo Ha
      ST-BERT: Cross-modal Language Model Pre-training For End-to-end Spoken Language Understanding. ICASSP 2021.
  33. Byeongho Heo, Sanghyuk Chun, Seong Joon Oh, Dongyoon Han, Sangdoo Yun, Youngjung Uh, Jung-Woo Ha. AdamP: Slowing down the slowdown for momentum optimizers on scale-invariant weights. ICLR 2021.
  34. Xiaodong Gu, Kang Min Yoo, Jung-Woo Ha.DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances. AAAI 2021.
  35. Dasol Hwang, Jinyoung Park, Sunyoung Kwon, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J Kim. Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs. NeurIPS 2020.
  36. Yeon Seonwoo, Ji-Hoon Kim, Jung-Woo Ha, Alice Oh. Context-Aware Answer Extraction in Question Answering. EMNLP 2020.
  37. Jung-Woo Ha, Kihyun Nam, Jingu Kang, Sang-Woo Lee, Sohee Yang, Hyunhoon Jung, Eunmi Kim, Hyeji Kim, Soojin Kim, Hyun Ah Kim, Kyoungtae Doh, Chan Kyu Lee, Nako Sung, Sunghun Kim. ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers. Interspeech 2020.
  38. Yunjey Choi, Youngjung Uh, Jaejun Yoo, Jung-Woo Ha. StarGAN v2: Diverse Image Synthesis for Multiple Domains. CVPR 2020.
  39. Fuxiang Chen, Seungwon Hwang, Jaegul Choo, Jung-Woo Ha, Sunghun Kim. NL2pSQL: Generating Pseudo-SQL Queries from Under-Specified Natural Language Questions. EMNLP 2019.
  40. Jaejun Yoo, Youngjung Uh, Sanghyuk Chun, Byeongkyu Kang, Jung-Woo Ha. Photorealistic Style Transfer via Wavelet Transforms. ICCV 2019.
  41. Sang-Woo Lee, Tong Gao, Sohee Yang, Jaejun Yoo, and Jung-Woo Ha. Large-Scale Answerer in Questioner’s Mind for Visual Dialog Question Generation. ICLR 2019.
  42. Xiaodong Gu, Kyunghyun Cho, Jung-Woo Ha, and Sunghun Kim. DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder. ICLR 2019.
  43. Sunghyun Park, Seungwon Hwang, Fuxiang Chen, Jaegul Choo, Jung-Woo Ha, Sunghun Kim, and Jinyeong Yim. Paraphrase Diversification using Counterfactual Debiasing . AAAI 2019.
  44. Yunjey Choi, Minje Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, and Jaegul Choo. StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation. CVPR 2018 (oral).
  45. Sang-Woo Lee, Jin-Hwa Kim, Jaehyun Jeon, Jung-Woo Ha, and Byoung-Tak Zhang. Overcoming Catastrophic Forgetting by Incremental Moment Matching. NIPS 2017 (Spotlight).
  46. Hyeongseob Nam, Jung-Woo Ha, and Jeonghee Kim. Dual Attention Networks for Multimodal Reasoning and Matching. CVPR 2017 (Spotlight).
  47. Jin-Hwa Kim, Kyoung Woon On, Woosang Lim, Jeonghee Kim, Jung-Woo Ha, and Byoung-Tak Zhang. Hadamard Product for Low-rank Bilinear Pooling. ICLR 2017
  48. Jung-Woo Ha, Hyuna Pyo, and Jeonghee Kim. Large-Scale Item Categorization in e-Commerce Using Multiple Recurrent Neural Networks. KDD 2016(oral, The 1st place of the most viewed papers).
  49. Jin-Hwa Kim, Sang-Woo Lee, Donghyun Kwak, Min-Oh Heo, Jeonghee Kim, Jung-Woo Ha, and Byoung-Tak Zhang. Multimodal Residual Learning for Visual QA. NIPS 2016.
  50. Jung-Woo Ha, Kyung-Min Kim, and Byoung-Tak Zhang. Automated Construction of Visual-Linguistic Knowledge via Concept Learning from Cartoon Videos. AAAI 2015(oral).

• Honors and awards
  • 2024. 1: 한국공학한림원 젊은공학인상
  • 2023. 11: 2023 소프트웨어산업인의 날 유공자 포상 국무총리 표창
  • 2022.12: 한국인공지능학회 기업인상
  • 2022. 12: 제 1회 소프트웨어 기술인상 – 소프트웨어산업협회 회장상
  • 2022. 11: 아이뉴스24 i-fourm 2022 소셜DNA 공로상(개인)
  • 2022. 5: 한국IT서비스학회 춘계학술대회 공로기업인(CIO)상
  • 2021. 10: Outstanding reviewer award (top 8%) @ NeurIPS 2021.
  • 2019. 10: Top 50% of reviewers @ NeurIPS 2019.
  • 2015. 2: 2014-Fall semester Outstanding PhD thesis award, Dept of computer science, Seoul National University
  • 2004. 12: Oustanding New recruit award, Samsung SDS.

• External Activities
  • 2024.4 ~ : 산업통상자원부 전략기획투자협의회 AI분과위원장
  • 2024.3 ~ : UN AI Advisory Body Tech Experts
  • 2024.3 ~ : 과실연 AI정책연구소장 및 과실연 AI미래포럼 공동의장
  • 2024.2 ~ : 과기정통부 글로벌 AI 규범 자문위원회 위원
  • 2024.1 ~ : 한국공학한림원 (The National Academy of Engineering of Korea: NAEK) 정회원
  • 2024.1 ~ : 사단법인 바른 과학기술사회 실현을 위한 국민연합 (과실연) 공동대표
  • 2023.7 ~ : 법무부 형사사법시스템 자문단 위원
  • 2023.5 ~ : 대통령직속 디지털플랫폼정부위원회 초거대 공공AI TF팀장
  • 2023.4 ~ : 금융감독원 금융감독자문위원회 금융IT분과 자문위원
  • 2023.4 ~ : 과기정통부 국가전략기술 특별위원회 민간위원
  • 2023.3 ~ 2023.10: 문화체육관광부 스포츠R&D 신규 예타사업 관련 총괄기획위원회 위원
  • 2022.9 ~ : 대통령직속 디지털플랫폼정부위원회 AI-Data 분과위원장
  • 2022.7 ~ 12: 과기정통부-KISTEP 국가전략기술 인공지능분야 기술실무분과위원
  • 2022.7 ~ 9 : 행정안전부 정부혁신위원회 위원
  • 2022.7 ~ : 중소벤처기업부 장관 정책자문단 디지털분과 자문위원
  • 2022.6 ~ : 한국과총 BrainLink 사업 기술교류회 운영위원 및 AI/IoE/메타버스 분과 위원장
  • 2022.4 ~ 6: 20대 대통령직인수위원회 디지털플랫폼정부TF 민간위원
  • 2022.2 ~ 2023.3: 과기정통부 AI윤리포럼 기술분과 위원
  • 2022.2 ~ 2023.3: 국방부 정책자문위원회 정보화분과 자문위원
  • 2022.1 ~ 3: 10대 국가필수전략기술 전문가 회의, 위원 (KISTEP)
  • 2022.1 ~ 2023.12: 한국공학한림원 (The National Academy of Engineering of Korea: NAEK) 일반회원
  • 2021.10 ~ : 과기정통부 인공지능융합혁신인재양성사업 기획자문위원회 위원
  • 2021.10 ~ : 국방과학기술위원회 미래국방기술분과 위원
  • 2021.9 ~ : 과기정통부 AI 최고 전문가 협의체 위원
  • 2021.8 ~9 : 특허청 AI특허 자문위원2021.7 ~ 2021.10: Advisory member, KISTI 슈퍼컴퓨터 6호기 구축자문위원회 (Language Model 분야)
  • 2021.7 ~ : Board member, Yangjae AI Hub (양재AI허브 운영위원)
  • 2021.5 ~ : 운영위원, 제3기 한국연구재단 (NRF) 해외우수과학자유치사업 위원회 (Brain Link)
  • 2021.3 ~ 2024.3: Co-chair, AI Future Forum (AI미래포럼 공동의장)
  • 2021.3 ~ : Advisor, Korea Institute for Defense Analyses (국방연구원: KIDA, 자문위원)
  • 2021.1 ~ 2023.10: Advisor, Institute of AI Economy, The Korean Economic Daily (한국경제신문 AI경제연구소 자문위원)
  • 2021.1 ~ : Board member, Industry Section, KoSAIM (한국의료인공지능학회, 산업이사)
  • 2021.1 ~ : Advisor, Industry Advisory Board, Dept. of Computer Software, Hanyang University (한양대 컴퓨터소프트웨어 학부 IAB 위원)
  • 2020.6 ~ 2022.6: Council member, Open Data Strategy Council (제 4기 공공데이터전략위원회 위원)
  • 2020 ~ : Advisor, Suwon branch, Supreme Prosecutors’ Office (수원지방검찰청 첨단산업보호 수사자문위원)
  • 2020 ~ : Advisor, SW Education, CONNECT Foundation (네이버 커넥트재단 SW교육 자문위원)
  • 2020 ~ : Advisor, SW-centered University, KAIST (카이스트 SW중심대학 교과과정 혁신위원회 위원)
  • 2019 ~ : Advisor, National Information Society Agency (한국지능정보사회진흥원: NIA 자문위원)
  • 2020 ~ 2021.7 : Advisor, UPSTAGE.ai

• Research Activities
  • Conference Organizing Committee & Program Committee Chairs
    • Social Co-Char @ ICML 2024
    • Area Chair @ COLM 2024
    • Datasets and Benchmarks Co-Chair @ NeurIPS 2023
    • Area Chair @ NeurIPS 2023
    • Socials Co-Chair @ ICML 2023
    • Area Chair @ ICML 2023
    • Socials Co-Chair @ NeurIPS 2022
    • Area Chair @ NeurIPS 2022
    • Senior Area Chair of Language Modeling Track @ COLING 2022
  • Organizers
    • HyperscaleFAccT @ ACM FAccT 2022.
    • ML in Korea @ NeurIPS2021, ICLR Social 2021, NeurIPS 2020, ICLR 2020
    • NAVER Conference Booth: CVPR 2017, ACL 2017, NIPS 2017, ICLR 2018, CVPR 2018, NeurIPS 2018, ICLR 2019, CVPR 2019, ICCV 2019, NeurIPS 2019, CVPR 2020, ECCV 2020, NeurIPS 2020, ICLR 2021
    • The 1st International Workshop on Machine Learning for Artificial Intelligence Platform @ ACML 2017.
    • NAVER-LINE Expo Workshop @ NeurIPS 2018.NAVER-LINE Expo Workshop @ ICLR 2019.
  • Technical Program Committee & Reviewers:
    • Conferences: ACML 2018, NeurIPS 2018~2022, ICLR 2019~2023, ICML 2019~2022, ICCV&ECCV 2019~2022, ACL 2020~2022, NAACL 2021~2022, 2024, EMNLP 2020~2022, AAAI 2020, CVPR 2020~2022, 2024, KDD 2022
    • Journal: IEEE Trans on Pattern Analysis and Machine Intelligence, IEEE Trans on Software Engineering, Neural Networks Journal, Information Science Journal, ACM ToG

• International Talk
  1. Panel discussion on the regulation of AI, The Owners Forum. 2023. 5.
  2. Era of Hyperscale AI: Present and Future. ISCR 2022. 2022. 9
  3. Panel discussion @ GEEF 2022 Featured Session 7: AI for better engagement and empowerment. 2022. 2
  4. Lecture @ AI DLDA (International Summer School on AI) . 2021. 6.
  5. Keynote speech @ KSCEE-KOTAA-KOCSEA Joint Conference on Artificial Intelligence in Smart Cities. 2021.4
  6. Panel discussion @ GEEF 2021 Featured Session 7: AI for better engagement and empowerment. 2021. 2
  7. VQA Tutorial @ IEEE ICSE-Asia 2018
  8. Keynote @ The 3rd International Conference on Big Data and Deep Learning (INNS-BDDL 2018)
  9. Invited talk and panel discussion @ International Artificial Intelligence Conference 2017

• Invited talk, Tutorial, and Keynote speech
  1. 토론발제. 2023 제2차 디지털 국정과제 연속 현장 간담회. ChatGPT 및 초거대AI 현황에 대한 우리 대응책. 2023. 3
  2. 초청강연. 경기도 2월 도정 열린회의. ChatGPT 및 초거대 AI. 2023. 3
  3. 초청강연. 삼성전자 메모리사업부 ChatGPT 및 초거대AI. 2023. 2
  4. 특별강연, 교육부 대한민국 교육 비전선포식. 2023. 2
  5. 초청강연, 과기정통부 ChatGPT 및 초거대AI. 2023. 2
  6. 초청강연, 문화체육관광부 ChatGPT 및 초거대AI. 2023. 2
  7. 기조강연. 한국수력원자력공사 Data Festival. 2022. 11.
  8. 초청강연. 한국경영정보학회 추계학술대회 2022. 11
  9. 기조강연. TTA 글로벌 ICT 표준 컨퍼런스(GISC) 2022 개막식. 2022. 11
  10. 초청강연. 한국언론진흥재단 IT기자 모임. 2022.11
  11. 초청강연 & 패널토의. 글로벌 HR 포럼. 2022. 11
  12. 초청강연. 한양대학교 서울캠퍼스 AIB 과정. 2022. 10.
  13. 초청강연. 아시아경제 주최 초거대 AI 시대의 서막. 2022.10
  14. 기조강연. 대한이비인후과 학회. 2022. 10
  15. 기조강연. 디지털 대전환 컨퍼런스 부산 2022. 2022. 10.
  16. 초청강연. KAIST 컨버전스 AMP 과정. 2022. 10.
  17. Organzing 및 진행. 한국과총-AI미래포럼-재일과협 공동 웨비나-한국과 일본의 최신 연구동향 및 스타트업 생태계. 2022. 10.
  18. 초청강연. AI World Congress 2022 in Busan. 2022. 9
  19. 초청강연. 가톨릭대의대 수업. 2022. 9.
  20. 초청강연. ETRI. 2022. 9
  21. 초청강연. 제주대학교 SW이노베이션 수업. 2022.9
  22. 한국공학한림원 코리아리더스 포럼 “미래세대를 위한 디지털플랫폼정부”. 패널토의 2022.9
  23. 초청강연. 일산 중등교육 학부모 AI강연 2022.9
  24. Invited talk@KAIST 메타버스 대학원 개소식. 2022. 9
  25. Invited talk@KAIST CS. Scale and Discrepancy: Two Keys for Succussful Industry AI Research. 2022. 8
  26. Invited talk@AI대학원심포지엄 2022. 2022. 8
  27. 딥러닝 시대의 언어연구. 기획발표. 2022. 8
  28. CODE Conference 2022. Session 5: 인공지능의 한계를 뛰어넘다. 강연 2022.7
  29. KISTI 전문가 세미나 (by 김은희 박사). 2022.7
  30. 한국과총 주최 2022 과학기술연차대회 심포지엄 새정부 과학기술정책의 성공조건 패널토의. 2022. 6.
  31. POSTECH-NAVER AI Day 2022 축사 및 연구발표. 2022. 6
  32. 연세대학교 AI융합대학 출범기념식 초청강연. 2022. 6
  33. KISTEP 기획재정부 R&D예산 전문가 간담회. 2022.5
  34. Invited talk @ KAIST 경영대학원 (invited by Prof. 오종훈). 2022. 5
  35. Invited talk @ UST-KOITA-STEPI 산학연 인재양성 정책포럼. 2022. 5
  36. Session chair @ 2022 한국IT서비스학회 춘계학술대회, 인공지능 세션. 2022. 5.
  37. Plenary talk @ 2022 한국멀티미디어학회 춘계학술대회. 2022. 5.
  38. Invited talk @ 과총-재중과협-AI미래포럼 공동주최 웨비나 한·중 AI 연구동향과 스타트업 비즈니스 생태계. 2022. 5
  39. Plenary talk @ 전남대학교 용봉포럼 2022.5.
  40. Panel discussion @ 22-5차 국방 디지털 전문가 초청 세미나: K-DARPA, 패널토의. 2022. 4
  41. Invited talk @ 미래에셋 라온힐조 4월 강연. 2022.4
  42. 국회 AI윤리 법안 관련 전문가 간담회. 2022. 4.
  43. 한국공학한림원-AI미래포럼 공동개최 AI미래포럼 1주년 기념 웨비나-새정부의 AI 국가전략 어디로 가야하는가. 기획 및 사회. 2022.3
  44. Invited talk @ AI599 Lecuture, KAIST. 2022.3
  45. Plenary talk @ Workshop of Endocrine Medicne, Seoul National Univ. Hospital (서울대병원 내분비대사내과 워크샵). 2022. 2
  46. NIA 인공지능 법제정비단 세미나 패널토론. 2021.1
  47. Invited talk @ AIAI 2022. 2022. 1
  48. Keynote panel discussion @ AI Summit 2021 Seoul. 2021. 12.
  49. AICON 광주 2021 초청강연. 2021. 12.
  50. AI 양재허브 2021년 컨퍼런스 초청강연 및 패널토의. 2021. 12.
  51. 정부 지능정보화책임관협의회 CIO Forum 초청강연. 2021. 12.
  52. Invited talk & session chair @ Global AI Summit. 2021. 11.
  53. 기조강연 대담 @ 과학기술미래인재 컨퍼런스 2021 포럼 (with Thomas Frey). 2021. 11.
  54. Invited talk @ 한국포스트휴먼학회 콜로퀴엄 11월. 2021. 11.
  55. Invited talk @ AIIA 11월 조찬포럼. 2021. 11
  56. Keynote speech @ KOCSEA Technical Symposium 2021. 2021.11.
  57. Lecture @ 2021 10월의 하늘 (목포어린이도서관). 2021. 10.
  58. TV강연 @ 2030 호남의 미래지도 2부 인공지능편. 2021. 10.
  59. Plenary talk @ 광주-매경 AI 뉴딜 포럼. 2021. 10.
  60. Invited talk @ 호남대 교수학습 워크샵. 2021. 10.
  61. Panel discussion @ AI미래포럼-한국공학한림원 정책총서 웨비나 2(AI R&D). 2021. 10.
  62. Invited talk @ 훈민정음 경진대회 특별강연. 2021. 10.
  63. Invited talk @ Seoul Smartcity Leaders Forum. 2021.10
  64. 진행 @ AI미래포럼-한국공학한림원 정책총서 웨비나 1(AI인재). 2021.9
  65. Invited talk @ 국방AI워크샵. 2021. 9
  66. Lecture @ IT알못들을 위한 시간. 2021. 9
  67. Invited talk @ Korea VC Association. 2021. 9
  68. Invited talk @ AI graduate school, Seoul National Univ. (서울대 AI대학원). 2021. 9
  69. Keynote @ 11회 국가통계방법론 국제심포지엄. 2021.9
  70. Invited talk @ AI graduate school, Busan National Univ. (부산대학교 AI대학원). 2021. 9
  71. Keynote @ 2021 AI Festival. 2021. 9
  72. Invited talk @ 한양대학교 AI대학원, AI와 법. 2021. 9
  73. Invited talk @ 현대자동차 경제연구소. 2021.7
  74. Lecture @ 사법연수원 2021년도 사법정보화(IT와 법관) 법관연수 강의. 2021. 7.
  75. Lecture @ 한국국방기술학회 국방산업 AI교육 리더과정. 2021. 7.
  76. Invited talk @ AIIS, Seoul National University. 2021. 6.
  77. Invited talk @ Dept. of Biology, Graduate School, Hanyang Univ. 2021. 6.
  78. Invited talk @ ECHE, UNIST. 2021. 6.
  79. Invited talk @ KAIST CS Seminar. 2021. 6.
  80. Invited talk @ MOTIE (산업통상자원부) AI전문가 간담회. 2021. 6.
  81. Invited talk @ AI colloquium, KAIST AI Graduate School. 2021. 5.
  82. Tech Talk – Toward New Global AI R&D Ecosystem of NAVER @ NAVER AI NOW. 2021. 5
  83. Invited talk @ SNU AIIS Retreat 2021. 2021. 4
  84. Live interview @ MIT Technology Review Korea. 2021. 4
  85. Panel discussion @ 2021 국회 산업기술 미래포럼: 디지털ㆍ친환경, K-산업의 미래를 여는 길. 2021.4
  86. Invited talk @ ICT 기술사업화페스티벌 (과기정통부, IITP). 2021.4
  87. Invited talk @ KIDA 국방연구원 세미나. 2021.4
  88. Invited talk @ UNIST 산업 및 첨단기술 세미나. 2021. 4
  89. Invited talk @ AI미래포럼 창립세미나 2021.3
  90. Invited talk @ 소프트웨어(SW) 개발자 인력난 심화, 해법은 무엇인가? 한국경제신문 웨비나 2021.3
  91. Invited talk @ HYBE Tech hour. 2021.3
  92. Invited talk @ MBRC, Seoul National University. 2021.3
  93. Invited talk @ ICT Convergence Conference. 2021.3
  94. Invited talk @ 한양대학교 AI와 법. 2021.3
  95. Invited talk @ KAIST CS 딥러닝. 2020.11
  96. Invited talk @ 2021 ICT 산업전망 컨퍼런스 2020.11
  97. Invited talk @ EO 사람들이 잘 모르는 네이버 AI 연구소 리더의 인공지능 이야기 2020.10
  98. Invited talk @ SW마이스터고 온라인 톡톡톡(Talk Talk Talk) AI기술동향 2020.10
  99. Panel discussion @ 제249회 한국공학한림원 NAEK FORUM_한국의 AI인재 전략, 어떻게 할 것인가? 2020.4
  100. Invited talk @ 2020 ICT 산업전망 컨퍼런스 2019.10
  101. Invited talk @ NVidia AI Conference 2019
  102. Keynote speech @ MODUCON 2018
  103. Invited talk @ Deview 2017 and 2016