AI
Research on Real-world AI that deeply understands people (their psychology and activities), things and society in the physical space, and provides them trustable interventions through effective feedback for the purpose of solving various social issues.
- Real-world AI
- AI for Behavior Change
- Trustworthy AI
News Release&Topics
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Publications
Continual Learning: Learning Ability and Algorithm
Gyuhak Kim(UIC), Changnan Xiao(New York University), Tatsuya Konishi, Bing Liu(UIC)
International Conference on Machine Learning (ICML) 2023
July 2023
Parameter-Level Soft-Masking for Continual Learning
Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke(UIC), Gyuhak Kim(UIC), Bing Liu(UIC)
International Conference on Machine Learning (ICML) 2023
July 2023
Naoto Takeda, Roberto Legaspi, Yasutaka Nishimura, Kazushi Ikeda, Atsunori Minamikawa, Thomas Plötz(Georgia institute of technology), Sonia Chernova(Georgia institute of technology)
The 19th International Conference on Intelligent Environments (IE 2023)
June 2023
CG-GNN: A Novel Compiled Graphs-based Feature Extraction Method for Enterprise Social Networks
Tatsuya Konishi, Shuichiro Haruta, Mori Kurokawa, Kenta Tsukatsune(Okayama University of Science), Yuto Mizutani(Unipos Co., Ltd.), Tomoaki Saitoi(Unipos Co., Ltd.), Hideki Asoh, Chihiro Ono
The 4th workshop on Intelligent Cross-Data Analysis and Retrieval (ICDAR 2023)
June 2023
Towards Multimodal Spatio-Temporal Transformer-based Models for Traffic Congestion Prediction
Huy Quang Ung, Yutaro Mishima, Hao Niu, Shinya Wada
The 4th workshop on Intelligent Cross-Data Analysis and Retrieval (ICDAR 2023)
June 2023
Awards
2021.11.10
18th EAI International Conference on Mobile and Ubiquitous Systems: COmputing, Networking and Servicies (Mobiquitous 2021)「Best Paper Award」
Event Detection and Event-Relevant Tweet Extraction with Human Mobility
Naoto Takeda, Daisuke Kamisaka, Roberto Legaspi, Yutaro Mishima, Atsunori Minamikawa