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Shinya Wada
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Journal Articles
- 2024
- [j3]Roberto Legaspi, Wenzhen Xu, Tatsuya Konishi, Shinya Wada, Nao Kobayashi, Yasushi Naruse, Yuichi Ishikawa:
The sense of agency in human-AI interactions. Knowl. Based Syst. 286: 111298 (2024) - 2023
- [j2]Yanan Wang, Donghuo Zeng, Shinya Wada, Satoshi Kurihara:
VideoAdviser: Video Knowledge Distillation for Multimodal Transfer Learning. IEEE Access 11: 51229-51240 (2023) - 2022
- [j1]Yanan Wang, Jianming Wu, Kazuaki Furumai, Shinya Wada, Satoshi Kurihara:
VAE-Based Adversarial Multimodal Domain Transfer for Video-Level Sentiment Analysis. IEEE Access 10: 51315-51324 (2022)
Conference and Workshop Papers
- 2024
- [c22]Huy Quang Ung, Hao Niu, Minh-Son Dao, Shinya Wada, Atsunori Minamikawa:
xMTrans: Temporal Attentive Cross-Modality Fusion Transformer for Long-Term Traffic Prediction. MDM 2024: 195-202 - 2023
- [c21]Minh-Son Dao, Huy Quang Ung, Sadanori Ito, Shinya Wada, Koji Zettsu:
Fostering Innovation in Urban Transportation Risk Management: A Multi-Sector Collaborative Benchmarking Platform. IEEE Big Data 2023: 1903-1907 - [c20]Huy Quang Ung, Ryoichi Kojima, Shinya Wada:
Leverage Samples with Single Positive Labels to Train CNN-based Models For Multi-label Plant Species Prediction. CLEF (Working Notes) 2023: 2149-2158 - [c19]Guillaume Habault, Huy Quang Ung, Shinya Wada:
A Classical Machine Learning Method for Locomotion and Transportation Recognition using both Motion and Location Data. UbiComp/ISWC Adjunct 2023: 511-516 - [c18]Yanan Wang, Michihiro Yasunaga, Hongyu Ren, Shinya Wada, Jure Leskovec:
VQA-GNN: Reasoning with Multimodal Knowledge via Graph Neural Networks for Visual Question Answering. ICCV 2023: 21525-21535 - [c17]Huy Quang Ung, Yutaro Mishima, Hao Niu, Shinya Wada:
Towards Multimodal Spatio-Temporal Transformer-based Models for Traffic Congestion Prediction. ICDAR@ICMR 2023: 19-23 - [c16]Hao Niu, Guillaume Habault, Roberto Legaspi, Chuizheng Meng, Defu Cao, Shinya Wada, Chihiro Ono, Yan Liu:
Time-delayed Multivariate Time Series Predictions. SDM 2023: 325-333 - 2022
- [c15]Ryoichi Kojima, Roberto Legaspi, Shinya Wada:
Trip Destination Prediction by Cross-City Exploratory Data Analysis Approach in People Flow Data. IEEE Big Data 2022: 6547-6552 - [c14]Hao Niu, Huy Quang Ung, Shinya Wada:
Source Domain Selection for Cross-House Human Activity Recognition with Ambient Sensors. ICMLA 2022: 754-759 - [c13]Chuizheng Meng, Hao Niu, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu:
Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data. IJCAI 2022: 2189-2195 - [c12]Hao Niu, Chuizheng Meng, Defu Cao, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu:
Mu2ReST: Multi-resolution Recursive Spatio-Temporal Transformer for Long-Term Prediction. PAKDD (1) 2022: 68-80 - [c11]Roberto Legaspi, Wenzhen Xu, Tatsuya Konishi, Shinya Wada, Yuichi Ishikawa:
Multidimensional Analysis of Sense of Agency During Goal Pursuit. UMAP 2022: 34-47 - 2021
- [c10]Guillaume Habault, Shinya Wada, Chihiro Ono:
Influence of Land Use information over performance when predicting spatiotemporal electricity load demand. IEEE BigData 2021: 1633-1639 - [c9]Ryoichi Kojima, Roberto Legaspi, Yutaro Mishima, Shinya Wada:
Classical machine learning and deep neural network ensemble model for GPS-based activity recognition. UbiComp/ISWC Adjunct 2021: 369-373 - [c8]Yutaro Mishima, Guillaume Habault, Shinya Wada:
Is Adding More Modalities Better in a Multimodal Spatio-temporal Prediction Scenario? A Case Study on Japan Air Quality. MobiQuitous 2021: 406-421 - [c7]Roberto Legaspi, Wenzhen Xu, Tatsuya Konishi, Shinya Wada:
Positing a Sense of Agency-Aware Persuasive AI: Its Theoretical and Computational Frameworks. PERSUASIVE 2021: 3-18 - 2020
- [c6]Guillaume Habault, Shinya Wada, Rui Kimura, Chihiro Ono:
Elucidating the extent by which population staying patterns help improve electricity load demand predictions. IEEE BigData 2020: 3482-3487 - [c5]Yanan Wang, Jianming Wu, Jinfa Huang, Gen Hattori, Yasuhiro Takishima, Shinya Wada, Rui Kimura, Jie Chen, Satoshi Kurihara:
LDNN: Linguistic Knowledge Injectable Deep Neural Network for Group Cohesiveness Understanding. ICMI 2020: 343-350 - [c4]Yanan Wang, Jianming Wu, Panikos Heracleous, Shinya Wada, Rui Kimura, Satoshi Kurihara:
Implicit Knowledge Injectable Cross Attention Audiovisual Model for Group Emotion Recognition. ICMI 2020: 827-834 - [c3]Hao Niu, Duc Nguyen, Kei Yonekawa, Mori Kurokawa, Shinya Wada, Kiyohito Yoshihara:
Multi-source Transfer Learning for Human Activity Recognition in Smart Homes. SMARTCOMP 2020: 274-277 - 2018
- [c2]Yujin Tang, Kei Yonekawa, Mori Kurokawa, Shinya Wada, Kiyohito Yoshihara:
Binary Classification of Sequences Possessing Unilateral Common Factor with AMS and APR. PAKDD (3) 2018: 322-334 - 2017
- [c1]Yujin Tang, Shinya Wada, Kiyohito Yoshihara:
Failure Prediction with Adaptive Multi-scale Sampling and Activation Pattern Regularization. ICDM Workshops 2017: 79-86
Informal and Other Publications
- 2024
- [i3]Huy Quang Ung, Hao Niu, Minh-Son Dao, Shinya Wada, Atsunori Minamikawa:
xMTrans: Temporal Attentive Cross-Modality Fusion Transformer for Long-Term Traffic Prediction. CoRR abs/2405.04841 (2024) - 2023
- [i2]Yanan Wang, Donghuo Zeng, Shinya Wada, Satoshi Kurihara:
VideoAdviser: Video Knowledge Distillation for Multimodal Transfer Learning. CoRR abs/2309.15494 (2023) - 2022
- [i1]Yanan Wang, Michihiro Yasunaga, Hongyu Ren, Shinya Wada, Jure Leskovec:
VQA-GNN: Reasoning with Multimodal Semantic Graph for Visual Question Answering. CoRR abs/2205.11501 (2022)
Coauthor Index
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