Lightweight service announcement: The case for Wi-Fi M2M service providers. - Guillaume Habault; Patrick Maillé; Laurent Toutain; Alexander Pelov; Nicolas Montavont; Philippe Bertin (IEEE ANTS, 2013)

Service-based network selection proposal for complex heterogeneous environments. - Guillaume Habault; Laurent Toutain; Nicolas Montavont; Philippe Bertin (GLOBECOM Workshops, 2014)

Service-based Networking for M2M Communications. (Réseaux basés sur les services disponibles et appliqués aux communications de machine à machine). - Guillaume Habault (2015)

Defining a Distributed Architecture for Smart Energy Aware Systems. - Guillaume Habault; Jani Hursti; Jean-Marie Bonnin (CSDM, 2016)

Effective communicating optimization for V2G with electric bus. - Toshichika Shiobara; Guillaume Habault; Jean-Marie Bonnin; Hiroaki Nishi (INDIN, 2016)

An efficient electric vehicle charging architecture based on LoRa communication. - Ange Ouya; Blanca Martínez de Aragón; Cécile Bouette; Guillaume Habault; Nicolas Montavont; Georgios Z. Papadopoulos (SmartGridComm, 2017)

Monitoring Traffic Optimization in a Smart Grid. - Guillaume Habault; Maxime Lefrançois; François Lemercier; Nicolas Montavont; Periklis Chatzimisios; Georgios Z. Papadopoulos (IEEE Trans. Ind. Informatics, 2017)

Delivery Management System Based on Vehicles Monitoring and a Machine-Learning Mechanism. - Guillaume Habault; Yuya Taniguchi; Naoaki Yamanaka (VTC Fall, 2018)

Detecting errors in short-term electricity demand forecast using people dynamics. - Guillaume Habault; Yasutaka Nishimura; Kiyohito Yoshihara; Chihiro Ono (IEEE BigData, 2019)

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)

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

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)

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)

ICDAR'23: Intelligent Cross-Data Analysis and Retrieval. - Guillaume Habault; Minh-Son Dao; Michael Alexander Riegler; Duc-Tien Dang-Nguyen; Yuta Nakashima; Cathal Gurrin (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)

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)