| Vqa-gnn: Reasoning with multimodal semantic graph for visual question answering Y Wang, M Yasunaga, H Ren, S Wada, J Leskovec arXiv preprint arXiv:2205.11501, 2022 | 27 | 2022 |
| Implicit knowledge injectable cross attention audiovisual model for group emotion recognition Y Wang, J Wu, P Heracleous, S Wada, R Kimura, S Kurihara Proceedings of the 2020 international conference on multimodal interaction …, 2020 | 21 | 2020 |
| VAE-based adversarial multimodal domain transfer for video-level sentiment analysis Y Wang, J Wu, K Furumai, S Wada, S Kurihara IEEE Access 10, 51315-51324, 2022 | 11 | 2022 |
| Multi-source transfer learning for human activity recognition in smart homes H Niu, D Nguyen, K Yonekawa, M Kurokawa, S Wada, K Yoshihara 2020 IEEE international conference on smart computing (SMARTCOMP), 274-277, 2020 | 8 | 2020 |
| Vqa-gnn: Reasoning with multimodal knowledge via graph neural networks for visual question answering Y Wang, M Yasunaga, H Ren, S Wada, J Leskovec Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 7 | 2023 |
| Multidimensional analysis of sense of agency during goal pursuit R Legaspi, W Xu, T Konishi, S Wada, Y Ishikawa Proceedings of the 30th ACM Conference on User Modeling, Adaptation and …, 2022 | 6 | 2022 |
| Mu2rest: Multi-resolution recursive spatio-temporal transformer for long-term prediction H Niu, C Meng, D Cao, G Habault, R Legaspi, S Wada, C Ono, Y Liu Pacific-Asia Conference on Knowledge Discovery and Data Mining, 68-80, 2022 | 6 | 2022 |
| Positing a sense of agency-aware persuasive AI: its theoretical and computational frameworks R Legaspi, W Xu, T Konishi, S Wada International Conference on Persuasive Technology, 3-18, 2021 | 6 | 2021 |
| Videoadviser: Video knowledge distillation for multimodal transfer learning Y Wang, D Zeng, S Wada, S Kurihara IEEE Access, 2023 | 5 | 2023 |
| The sense of agency in human–AI interactions R Legaspi, W Xu, T Konishi, S Wada, N Kobayashi, Y Naruse, Y Ishikawa Knowledge-Based Systems 286, 111298, 2024 | 3 | 2024 |
| Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data. C Meng, H Niu, G Habault, R Legaspi, S Wada, C Ono, Y Liu IJCAI, 2189-2195, 2022 | 3 | 2022 |
| Elucidating the extent by which population staying patterns help improve electricity load demand predictions G Habault, S Wada, R Kimura, C Ono 2020 IEEE International Conference on Big Data (Big Data), 3482-3487, 2020 | 3 | 2020 |
| Ldnn: Linguistic knowledge injectable deep neural network for group cohesiveness understanding Y Wang, J Wu, J Huang, G Hattori, Y Takishima, S Wada, R Kimura, ... Proceedings of the 2020 International Conference on Multimodal Interaction …, 2020 | 3 | 2020 |
| Leverage samples with single positive labels to train cnn-based models for multi-label plant species prediction HQ Ung, R Kojima, S Wada Working Notes of CLEF, 2023 | 2 | 2023 |
| Time-delayed Multivariate Time Series Predictions H Niu, G Habault, R Legaspi, C Meng, D Cao, S Wada, C Ono, Y Liu Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 2 | 2023 |
| Source Domain Selection for Cross-House Human Activity Recognition with Ambient Sensors H Niu, HQ Ung, S Wada 2022 21st IEEE International Conference on Machine Learning and Applications …, 2022 | 2 | 2022 |
| Classical machine learning and deep neural network ensemble model for GPS-based activity recognition R Kojima, R Legaspi, Y Mishima, S Wada Adjunct Proceedings of the 2021 ACM International Joint Conference on …, 2021 | 2 | 2021 |
| Failure prediction with adaptive multi-scale sampling and activation pattern regularization Y Tang, S Wada, K Yoshihara 2017 IEEE International Conference on Data Mining Workshops (ICDMW), 79-86, 2017 | 2 | 2017 |
| A classical machine learning method for locomotion and transportation recognition using both motion and location data G Habault, HQ Ung, S Wada Adjunct Proceedings of the 2023 ACM International Joint Conference on …, 2023 | 1 | 2023 |
| Towards multimodal spatio-temporal transformer-based models for traffic congestion prediction HQ Ung, Y Mishima, H Niu, S Wada Proceedings of the 4th ACM Workshop on Intelligent Cross-Data Analysis and …, 2023 | 1 | 2023 |
