Personal profile
Education
o (2010) M.S., The University of Texas at Austin
o (2013) Ph.D., The University of Texas at Austin
Professional Experience
KAIST Endowed Chair Professor, Graduate School of AI / School of Computing (Mar 2022 ~ )
Associate Professor, Graduate School of AI / School of Computing (Mar 2020 ~ )
Assistant Professor, School of Computing (Jan 2018 ~ Feb 2020)
o Ulsan National Institute of Science and Technology (UNIST), Ulsan, Korea
Assistant Professor, School of Electric and Computer Engineering (Aug 2014 ~ Dec 2017)
o Disney Research, Pittsburgh, PA, USA
Postdoctoral Research Associate, Computer Vision Group (Sep 2013 ~ Aug 2014)
o Microsoft Research, Redmond, WA, USA
Research Intern, Interactive Media Group (June 2011 ~ Sep 2011)
Mentors: Sing Bing Kang, Ashish Kapoor
o SK Communications (Formerly EMPAS), Seoul, Korea
Lead Staff, Search Department (May 2005 ~ Jan 2007)
Research interests
o Self-Evolving AI: neural network generation, code generation, self-training of LLMs, automatic research agents
o AI for scientific discovery: molecule generation, material discovery, protein representation learning
o On-device learning: neural network compression (pruning, quantization, and knowledge distillation), online continual learning, federated learning
o Safe and secure learning: uncertainty modeling & quantification, robustness to distributional shifts, defense against diverse attacks
Major Research Achievements
3/14/2024: Two papers accepted to NAACL 2024.
2/27/2024: One paper accepted to CVPR 2024.
1/17/2024: Four papers accepted to ICLR 2024.
10/8/2023: One papers accepted to EMNLP 2023 and two to EMNLP Findings. I have 29 papers this year (6 ICLR, 5 ICML, 4 NeurIPS, 2 ACL, 1 EMNLP, 1 CVPR, 1 ICCV, 1 UbiComp, 1 SaTML, 1 Interspeech, 1 ICASSP, 2 ACL Findings, 2 EMNLP Findings and 1 EACL).
9/22/2023: Four papers accepted to NeurIPS 2023.
8/21/2023: I will serve as an area chair for AAAI 2024 and ICLR 2024.
7/14/2023: One paper accepted to ICCV 2023.
5/18/2023: One paper accepted to Interspeech 2023.
5/2/2023: Two papers accepted to ACL 2023, and two to the Findings of ACL 2023.
4/25/2023: Five papers accepted to ICML 2023.
3/7/2023: I will serve as an area chair for NeurIPS 2023. I am also serving as an AC for ICML 2023/ICCV 2023, and as a reviewing chair for CoLLAs 2023.
2/28/2023: One paper accepted to CVPR 2023.
2/16/2023: One paper accepted to ICASSP 2023.
1/21/2023: Six papers accepted to ICLR 2023 (one spotlight)
12/21/2022: I will serve as an area chair for ICML 2023 and ICCV 2023. I also served as an area chair for ICLR 2023.
11/15/2022: One paper accepted to SaTML 2023.
9/15/2022: Four papers accepted to NeurIPS 2022. I have 21 papers this year (7 ICLR, 4 ICML, 4 NeurIPS, 2 AAAI, 1 CVPR, 1 ACL, 1 NAACL and 1 CVIU)
5/15/2022: Four papers accepted to ICML 2022.
4/8/2022: One paper accepted to NAACL 2022.
3/2/2022: I am appointed as a KAIST Endowed Chair Professor.
3/1/2022: One paper accepted to CVPR 2022.
2/28/2022: One paper accepted to ACL 2022 (short paper).
1/21/2022: Seven papers accepted to ICLR 2022 (1 oral, 1 spotlight).
12/1/2021: Two papers accepted to AAAI 2022.
9/30/2021: Five papers accepted to NeurIPS 2021 (two spotlights). I have 23 papers this year (5 NeurIPS, 5 ICML, 7 ICLR, 1 ACL, 1 ICCV, 2 AAAI, 1 IJCAI, and 1 Interspeech)
9/1/2021: I am officially tenured.
7/23/2021: One paper accepted to ICCV 2021.
5/8/2021: Five papers accepted to ICML 2021.
5/6/2021: One paper accepted to ACL 2021 (long paper).
4/29/2021: One paper accepted to IJCAI 2021.
1/13/2021: Seven papers accepted to ICLR 2021 (one spotlight).
12/02/2020: Two papers accepted to AAAI 2021. I am serving as an area chair for ICLR 2021, IJCAI 2021, ICML 2021, and NeurIPS 2021.
7/25/2020: Nine papers accepted to NeurIPS 2020 (one spotlight). I have 22 papers this year (9 NeurIPS, 4 ICML, 4 ICLR, 1 ACL, 1 EMNLP, 1 AAAI, 1 ICRA, and 1 Interspeech).
7/18/2020: Our paper “Federated Semi-Supervised Learning with Inter-Client Consistency” received the Best student paper award at the ICML 2020 Workshop on Federated Learning for User Privacy and Data Confidentiality.
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- 1 Similar Profiles
Collaborations and top research areas from the last five years
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A TRAINING-FREE SUB-QUADRATIC COST TRANSFORMER MODEL SERVING FRAMEWORK WITH HIERARCHICALLY PRUNED ATTENTION
Lee, H., Park, G., Lee, Y., Suh, J., Kim, J., Jeong, W., Kim, B., Lee, H., Jeon, M. & Hwang, S. J., 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 69038-69083 46 p. (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML
Trirat, P., Jeong, W. & Hwang, S. J., 2025, In: Proceedings of Machine Learning Research. 267, p. 60099-60146 48 p.Research output: Contribution to journal › Conference article › peer-review
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Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks
Lee, D., Lee, D. B., Adriaensen, S., Lee, J., Hwang, S. J., Hutter, F., Kim, S. J. & Lee, H. B., 2025, In: Proceedings of Machine Learning Research. 267, p. 33243-33275 33 p.Research output: Contribution to journal › Conference article › peer-review
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Continual Learning: Forget-Free Winning Subnetworks for Video Representations
Kang, H., Yoon, J., Hwang, S. J. & Yoo, C. D., 2025, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 47, 3, p. 2140-2156 17 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
DIFFUSION-BASED NEURAL NETWORK WEIGHTS GENERATION
Bedionita, S., Andreis, B., Lee, H., Jeong, W., Chong, S., Hutter, F. & Hwang, S. J., 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 47860-47891 32 p. (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Press/Media
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Adaptive Ascension: LLMs, Efficiency, and Query Complexity
Hwang, S. J., Park, J. C., Park, Y. & Park, C.
25/03/25
1 item of Media coverage
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RAGged Edge: LLMs on a Retrieval Rollercoaster
Hwang, S. J., Park, J. C., Park, Y. & Park, C.
25/03/25
1 item of Media coverage
Press/Media
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Query Quirks: AI’s Witty Way of Sorting Brain Teasers
Hwang, S. J., Park, J. C., Park, Y. & Park, C.
25/03/25
1 item of Media coverage
Press/Media
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Smart Queries, Smarter Answers: Adaptive-RAG in Action
Seo, M., Hwang, S. J., Park, J. C., Park, J.-E., Park, Y., Chung, W. S., Park, C. & Ziegler, M.
25/03/25
1 item of Media coverage
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Can Adaptive QA Frameworks Solve the Query Complexity Puzzle?
Hwang, S. J., Park, J. C., Park, Y. & Park, C.
16/03/25
1 item of Media coverage
Press/Media