Failure Prediction with Adaptive Multi-scale Sampling and Activation Pattern Regularization. - Yujin Tang; Shinya Wada; Kiyohito Yoshihara (ICDM Workshops, 2017)

Binary Classification of Sequences Possessing Unilateral Common Factor with AMS and APR. - Yujin Tang; Kei Yonekawa; Mori Kurokawa; Shinya Wada; Kiyohito Yoshihara (PAKDD (3), 2018)

Elucidating the extent by which population staying patterns help improve electricity load demand predictions. - Guillaume Habault; Shinya Wada; Rui Kimura; Chihiro Ono (IEEE BigData, 2020)

LDNN: Linguistic Knowledge Injectable Deep Neural Network for Group Cohesiveness Understanding. - Yanan Wang 002; Jianming Wu; Jinfa Huang; Gen Hattori; Yasuhiro Takishima; Shinya Wada; Rui Kimura; Jie Chen; Satoshi Kurihara (ICMI, 2020)

Implicit Knowledge Injectable Cross Attention Audiovisual Model for Group Emotion Recognition. - Yanan Wang 002; Jianming Wu; Panikos Heracleous; Shinya Wada; Rui Kimura; Satoshi Kurihara (ICMI, 2020)

Multi-source Transfer Learning for Human Activity Recognition in Smart Homes. - Hao Niu 001; Duc Nguyen 001; Kei Yonekawa; Mori Kurokawa; Shinya Wada; Kiyohito Yoshihara (SMARTCOMP, 2020)

Influence of Land Use information over performance when predicting spatiotemporal electricity load demand. - Guillaume Habault; Shinya Wada; Chihiro Ono (IEEE BigData, 2021)

Classical machine learning and deep neural network ensemble model for GPS-based activity recognition. - Ryoichi Kojima; Roberto Legaspi; Yutaro Mishima; Shinya Wada (UbiComp/ISWC Adjunct, 2021)

Is Adding More Modalities Better in a Multimodal Spatio-temporal Prediction Scenario? A Case Study on Japan Air Quality. - Yutaro Mishima; Guillaume Habault; Shinya Wada (MobiQuitous, 2021)

Positing a Sense of Agency-Aware Persuasive AI: Its Theoretical and Computational Frameworks. - Roberto Legaspi; Wenzhen Xu; Tatsuya Konishi; Shinya Wada (PERSUASIVE, 2021)

Trip Destination Prediction by Cross-City Exploratory Data Analysis Approach in People Flow Data. - Ryoichi Kojima; Roberto Legaspi; Shinya Wada (IEEE Big Data, 2022)

Source Domain Selection for Cross-House Human Activity Recognition with Ambient Sensors. - Hao Niu 001; Huy Quang Ung; Shinya Wada (ICMLA, 2022)

Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data. - Chuizheng Meng; Hao Niu 001; Guillaume Habault; Roberto Legaspi; Shinya Wada; Chihiro Ono; Yan Liu 002 (IJCAI, 2022)

Mu2ReST: Multi-resolution Recursive Spatio-Temporal Transformer for Long-Term Prediction. - Hao Niu 001; Chuizheng Meng; Defu Cao; Guillaume Habault; Roberto Legaspi; Shinya Wada; Chihiro Ono; Yan Liu 002 (PAKDD (1), 2022)

Multidimensional Analysis of Sense of Agency During Goal Pursuit. - Roberto Legaspi; Wenzhen Xu; Tatsuya Konishi; Shinya Wada; Yuichi Ishikawa (UMAP, 2022)

VAE-Based Adversarial Multimodal Domain Transfer for Video-Level Sentiment Analysis. - Yanan Wang 002; Jianming Wu; Kazuaki Furumai; Shinya Wada; Satoshi Kurihara (IEEE Access, 2022)

VQA-GNN: Reasoning with Multimodal Semantic Graph for Visual Question Answering. - Yanan Wang 002; Michihiro Yasunaga; Hongyu Ren; Shinya Wada; Jure Leskovec (CoRR, 2022)

Fostering Innovation in Urban Transportation Risk Management: A Multi-Sector Collaborative Benchmarking Platform. - Minh-Son Dao; Huy Quang Ung; Sadanori Ito; Shinya Wada; Koji Zettsu (IEEE Big Data, 2023)

Leverage Samples with Single Positive Labels to Train CNN-based Models For Multi-label Plant Species Prediction. - Huy Quang Ung; Ryoichi Kojima; Shinya Wada (CLEF (Working Notes), 2023)

A Classical Machine Learning Method for Locomotion and Transportation Recognition using both Motion and Location Data. - Guillaume Habault; Huy Quang Ung; Shinya Wada (UbiComp/ISWC Adjunct, 2023)

VQA-GNN: Reasoning with Multimodal Knowledge via Graph Neural Networks for Visual Question Answering. - Yanan Wang 002; Michihiro Yasunaga; Hongyu Ren; Shinya Wada; Jure Leskovec (ICCV, 2023)

Towards Multimodal Spatio-Temporal Transformer-based Models for Traffic Congestion Prediction. - Huy Quang Ung; Yutaro Mishima; Hao Niu 001; Shinya Wada (ICDAR@ICMR, 2023)

Time-delayed Multivariate Time Series Predictions. - Hao Niu 001; Guillaume Habault; Roberto Legaspi; Chuizheng Meng; Defu Cao; Shinya Wada; Chihiro Ono; Yan Liu 002 (SDM, 2023)

VideoAdviser: Video Knowledge Distillation for Multimodal Transfer Learning. - Yanan Wang 002; Donghuo Zeng; Shinya Wada; Satoshi Kurihara (IEEE Access, 2023)

Mixture of Projection Experts for Multivariate Long-Term Time Series Forecasting. - Hao Niu 001; Guillaume Habault; Defu Cao; Yizhou Zhang; Roberto Legaspi; Huy Quang Ung; James Enouen; Shinya Wada; Chihiro Ono; Atsunori Minamikawa; Yan Liu 002 (ICMLA, 2024)

xMTrans: Temporal Attentive Cross-Modality Fusion Transformer for Long-Term Traffic Prediction. - Huy Quang Ung; Hao Niu; Minh-Son Dao; Shinya Wada; Atsunori Minamikawa (MDM, 2024)

The sense of agency in human-AI interactions. - Roberto Legaspi; Wenzhen Xu; Tatsuya Konishi; Shinya Wada; Nao Kobayashi; Yasushi Naruse; Yuichi Ishikawa (Knowl. Based Syst., 2024)