Shinya Wada - RankMe

30 papers A* 2A 2B 7C 3Journal 7Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Sample-Level Prototypical Federated Learning. IEEE Trans. Pattern Anal. Mach. Intell. Chuizheng Meng, Jianke Yang, Hao Niu, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu
2024	C	`conf`	Mixture of Projection Experts for Multivariate Long-Term Time Series Forecasting. ICMLA Hao Niu, Guillaume Habault, Defu Cao, Yizhou Zhang, Roberto Legaspi, Huy Quang Ung, James Enouen, Shinya Wada, Chihiro Ono, Atsunori Minamikawa, Yan Liu
2024	J	`jnl`	The sense of agency in human-AI interactions. Knowl. Based Syst. Roberto Legaspi, Wenzhen Xu, Tatsuya Konishi, Shinya Wada, Nao Kobayashi, Yasushi Naruse, Yuichi Ishikawa
2024	B	`conf`	xMTrans: Temporal Attentive Cross-Modality Fusion Transformer for Long-Term Traffic Prediction. MDM Huy Quang Ung, Hao Niu, Minh-Son Dao, Shinya Wada, Atsunori Minamikawa
2024	J	`jnl`	xMTrans: Temporal Attentive Cross-Modality Fusion Transformer for Long-Term Traffic Prediction. CoRR Huy Quang Ung, Hao Niu, Minh-Son Dao, Shinya Wada, Atsunori Minamikawa
2023	—	`conf`	A Classical Machine Learning Method for Locomotion and Transportation Recognition using both Motion and Location Data. UbiComp/ISWC Adjunct Guillaume Habault, Huy Quang Ung, Shinya Wada
2023	B	`conf`	Fostering Innovation in Urban Transportation Risk Management: A Multi-Sector Collaborative Benchmarking Platform. IEEE Big Data Minh-Son Dao, Huy Quang Ung, Sadanori Ito, Shinya Wada, Koji Zettsu
2023	—	`conf`	Leverage Samples with Single Positive Labels to Train CNN-based Models For Multi-label Plant Species Prediction. CLEF (Working Notes) Huy Quang Ung, Ryoichi Kojima, Shinya Wada
2023	A	`conf`	Time-delayed Multivariate Time Series Predictions. SDM Hao Niu, Guillaume Habault, Roberto Legaspi, Chuizheng Meng, Defu Cao, Shinya Wada, Chihiro Ono, Yan Liu
2023	—	`conf`	Towards Multimodal Spatio-Temporal Transformer-based Models for Traffic Congestion Prediction. ICDAR@ICMR Huy Quang Ung, Yutaro Mishima, Hao Niu, Shinya Wada
2023	A*	`conf`	VQA-GNN: Reasoning with Multimodal Knowledge via Graph Neural Networks for Visual Question Answering. ICCV Yanan Wang, Michihiro Yasunaga, Hongyu Ren, Shinya Wada, Jure Leskovec
2023	J	`jnl`	VideoAdviser: Video Knowledge Distillation for Multimodal Transfer Learning. IEEE Access Yanan Wang, Donghuo Zeng, Shinya Wada, Satoshi Kurihara
2023	J	`jnl`	VideoAdviser: Video Knowledge Distillation for Multimodal Transfer Learning. CoRR Yanan Wang, Donghuo Zeng, Shinya Wada, Satoshi Kurihara
2022	—	`conf`	Mu2ReST: Multi-resolution Recursive Spatio-Temporal Transformer for Long-Term Prediction. PAKDD (1) Hao Niu, Chuizheng Meng, Defu Cao, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu
2022	A	`conf`	Multidimensional Analysis of Sense of Agency During Goal Pursuit. UMAP Roberto Legaspi, Wenzhen Xu, Tatsuya Konishi, Shinya Wada, Yuichi Ishikawa
2022	A*	`conf`	Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data. IJCAI Chuizheng Meng, Hao Niu, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu
2022	C	`conf`	Source Domain Selection for Cross-House Human Activity Recognition with Ambient Sensors. ICMLA Hao Niu, Huy Quang Ung, Shinya Wada
2022	B	`conf`	Trip Destination Prediction by Cross-City Exploratory Data Analysis Approach in People Flow Data. IEEE Big Data Ryoichi Kojima, Roberto Legaspi, Shinya Wada
2022	J	`jnl`	VAE-Based Adversarial Multimodal Domain Transfer for Video-Level Sentiment Analysis. IEEE Access Yanan Wang, Jianming Wu, Kazuaki Furumai, Shinya Wada, Satoshi Kurihara
2022	J	`jnl`	VQA-GNN: Reasoning with Multimodal Semantic Graph for Visual Question Answering. CoRR Yanan Wang, Michihiro Yasunaga, Hongyu Ren, Shinya Wada, Jure Leskovec
2021	—	`conf`	Classical machine learning and deep neural network ensemble model for GPS-based activity recognition. UbiComp/ISWC Adjunct Ryoichi Kojima, Roberto Legaspi, Yutaro Mishima, Shinya Wada
2021	—	`conf`	Influence of Land Use information over performance when predicting spatiotemporal electricity load demand. IEEE BigData Guillaume Habault, Shinya Wada, Chihiro Ono
2021	C	`conf`	Is Adding More Modalities Better in a Multimodal Spatio-temporal Prediction Scenario? A Case Study on Japan Air Quality. MobiQuitous Yutaro Mishima, Guillaume Habault, Shinya Wada
2021	B	`conf`	Positing a Sense of Agency-Aware Persuasive AI: Its Theoretical and Computational Frameworks. PERSUASIVE Roberto Legaspi, Wenzhen Xu, Tatsuya Konishi, Shinya Wada
2020	—	`conf`	Elucidating the extent by which population staying patterns help improve electricity load demand predictions. IEEE BigData Guillaume Habault, Shinya Wada, Rui Kimura, Chihiro Ono
2020	B	`conf`	Implicit Knowledge Injectable Cross Attention Audiovisual Model for Group Emotion Recognition. ICMI Yanan Wang, Jianming Wu, Panikos Heracleous, Shinya Wada, Rui Kimura, Satoshi Kurihara
2020	B	`conf`	LDNN: Linguistic Knowledge Injectable Deep Neural Network for Group Cohesiveness Understanding. ICMI Yanan Wang, Jianming Wu, Jinfa Huang, Gen Hattori, Yasuhiro Takishima, Shinya Wada, Rui Kimura, Jie Chen, Satoshi Kurihara
2020	B	`conf`	Multi-source Transfer Learning for Human Activity Recognition in Smart Homes. SMARTCOMP Hao Niu, Duc Nguyen, Kei Yonekawa, Mori Kurokawa, Shinya Wada, Kiyohito Yoshihara
2018	—	`conf`	Binary Classification of Sequences Possessing Unilateral Common Factor with AMS and APR. PAKDD (3) Yujin Tang, Kei Yonekawa, Mori Kurokawa, Shinya Wada, Kiyohito Yoshihara
2017	—	`conf`	Failure Prediction with Adaptive Multi-scale Sampling and Activation Pattern Regularization. ICDM Workshops Yujin Tang, Shinya Wada, Kiyohito Yoshihara