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Chen LI (李晨)
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Associate Professor
D3 Center, Osaka University
Graduate School of Information Science and Technology, Osaka University
Division of Electronic and Information Engineering, Faculty of Engineering, Osaka University
Research Interests: Deep Learning, Big Data
E-mail: li.chen.d3c@osaka-u.ac.jp
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Honors and Awards
AAAI Outstanding Paper Award: The 38th AAAI Conference on Artificial Intelligence 2024 (AAAI 2024), 2024 (3 of 2342 accepted papers out of 12100 submitted) [see details]
ADMA Outstanding Service Award: The 21st International Conference on Advanced Data Mining and Applications (ADMA2025) [see details]
ADMA Speical Session Best Paper Award: The 21st International Conference on Advanced Data Mining and Applications (ADMA2025) [see details]
ADMA Speical Session Best Paper Award: The 20th International Conference on Advanced Data Mining and Applications (ADMA2024) [see details]
IEEE Outstanding Leadership Award: The 24th IEEE International Conference on High Performance Computing and Communications (HPCC 2022), 2022 [see details]
Excellent Presentation Award: Chem-Bio Informatics Society (CBI) Annual Meeting, 2021 [see details]
Excellent Presentation Award: Chem-Bio Informatics Society (CBI) Annual Meeting, 2023 [see details]
Advanced Global Engineer: Hiroshima University, 2019
Invited Talks
Hainan University, Haikou, China — September 30th 2025. Topic: Moleulcar Generation and Optimization with GANs. [see details]
Huazhong Agricultural University, Wuhan, China — September 2nd 2025. Topic: Advancing Molecular Design with Generative AI. [see details]
South China Normal University, Guangzhou, China — August 30th, 2025. Topic: Molecular generation with Generative AI: Model Design and Applications. [see details]
Word Artificial Intelligence Conference (WAIC), Shanghai, China, July 28th, 2025. Topic: Generative AI for drug discovery. [see details]
Nagoya University, Nagoya, Japan, March, 2025. Topic: 生成AIによる分子生成の推進:モデル開発. [see details]
Bio Informatics Society (CBI) Annual Meeting, Tokyo, Japan, May, 2024. Topic: Transformer GANを用いた化学特性の最適化を目指した分子生成. [see details]
PAKDD 2023 Tutorial, Osaka, Japan, October, 2022. Topic: Moving beyond traditional anomaly detection. [see details]
Fundings
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