A multi-modal sensor infrastructure for healthcare in a residential environment. - Przemyslaw Woznowski; Xenofon Fafoutis; Terence Song; Sion L. Hannuna; Massimo Camplani; Lili Tao; Adeline Paiement; Evangelos Mellios; Mo Haghighi; Ni Zhu; Geoffrey S. Hilton; Dima Damen; et al. (ICC Workshops, 2015)

Agent-based decentralised data-acquisition and time-synchronisation in critical healthcare applications. - Mo Haghighi; Pete Woznowski; Ni Zhu; Evgeny Tsimbalo; Sion L. Hannuna; Alison Burrows; Bo Tan 003; Lili Tao; Robert J. Piechocki (WF-IoT, 2015)

Bridging e-Health and the Internet of Things: The SPHERE Project. - Ni Zhu; Tom Diethe; Massimo Camplani; Lili Tao; Alison Burrows; Niall Twomey; Dritan Kaleshi; Majid Mirmehdi; Peter A. Flach; Ian Craddock (IEEE Intell. Syst., 2015)

The SPHERE Challenge: Activity Recognition with Multimodal Sensor Data. - Niall Twomey; Tom Diethe; Meelis Kull; Hao Song 007; Massimo Camplani; Sion L. Hannuna; Xenofon Fafoutis; Ni Zhu; Pete Woznowski; Peter A. Flach; Ian Craddock (CoRR, 2016)

Extended Kalman Filter (EKF) Innovation-Based Integrity Monitoring Scheme with C / N0 Weighting. - Ni Zhu; David Bétaille; Juliette Marais; Marion Berbineau (RTSI, 2018)

GNSS Position Integrity in Urban Environments: A Review of Literature. - Ni Zhu; Juliette Marais; David Bétaille; Marion Berbineau (IEEE Trans. Intell. Transp. Syst., 2018)

Seamless Indoor-Outdoor Infrastructure-free Navigation for Pedestrians and Vehicles with GNSS-aided Foot-mounted IMU. - Ni Zhu; Miguel Ortiz; Valérie Renaudin (IPIN, 2019)

GNSS Integrity Monitoring Schemes for Terrestrial Applications in Harsh Signal Environments. - Ni Zhu; David Bétaille; Juliette Marais; Marion Berbineau (IEEE Intell. Transp. Syst. Mag., 2020)

Foot-mounted INS for Resilient Real-time Positioning of Soldiers in Non-collaborative Indoor Surroundings. - Ni Zhu; Valérie Renaudin; Miguel Ortiz; Yacouba Kone; Cécile Ichard; Sander Ricou; Frédéric Gueit (IPIN, 2021)

Velocity Protection Level for Wearable Devices on TDCP-based Pedestrian Navigation. - Ziyou Li; Ni Zhu; Valérie Renaudin (ICL-GNSS, 2022)

A Survey on Artificial Intelligence for Pedestrian Navigation with Wearable Inertial Sensors. - Hanyuan Fu; Yacouba Kone; Valérie Renaudin; Ni Zhu (IPIN, 2022)

Energy-Efficient Mobile Edge Computing Under Delay Constraints. - Zhidu Li; Ni Zhu; Dapeng Wu 002; Honggang Wang 001; Ruyan Wang (IEEE Trans. Green Commun. Netw., 2022)

A Portfolio of Machine Learning-Based GNSS LOS/NLOS Classification in Urban Environments. - Ni Zhu; Chaimae Belemoualem; Valérie Renaudin (SENSORS, 2023)

Investigating the Impact of Outfits on AI-Based Pedestrian Dead Reckoning with a Wearable Inertial Sensor Placed in the Pocket. - Hanyuan Fu; Valérie Renaudin; Thomas Bonis; Ni Zhu (IPIN, 2023)

LIGHT-PDR: Light Indoor GNSS Carrier Phase Positioning with Machine Learning and Inertial Signal Fusion for Pedestrian Navigation. - Ziyou Li; Ni Zhu; Valérie Renaudin (IPIN, 2023)

Understanding and Using Spatial Landmarks of Visually Impaired People for Navigation Applications. - Min Wang; Ni Zhu; Valérie Renaudin; Aurélie Dommes; Myriam Servières (IPIN, 2023)

A Computer Vision Approach for Pedestrian Walking Direction Estimation with Wearable Inertial Sensors: PatternNet. - Hanyuan Fu; Thomas Bonis; Valérie Renaudin; Ni Zhu (PLANS, 2023)

Investigations on pedestrian long-term trajectory prediction based on AI and environmental maps. - Susanna Kaiser; Pierre Baudet; Ni Zhu; Valérie Renaudin (PLANS, 2023)

Evaluation of the Human Body Mask Effects on GNSS Wearable Devices for Outdoor Pedestrian Navigation Using Fisheye Sky Views. - Ni Zhu; Athanase Bouronopoulos; Thomas Leduc; Myriam Servières; Valérie Renaudin (PLANS, 2023)

Signal Processing and Machine Learning for Smart Sensing Applications. - Ying-Ren Chien; Mu Zhou; Ao Peng; Ni Zhu; Joaquín Torres-Sospedra (Sensors, 2023)

Datasets and Supporting Materials for the IPIN 2023 Competition Track 4 (Foot-Mounted IMU based Positioning, offsite-online). - Miguel Ortiz; Ni Zhu; Ziyou Li; Valérie Renaudin; Joaquín Torres-Sospedra; Antonino Crivello; Francesco Potorti (Zenodo, 2023)

MAPIN: Mobility Adapted Pedestrian Inertial Navigation Using Smartphones for Enhanced Travel of the Visually Impaired. - Hanyuan Fu; Valérie Renaudin; Thomas Bonis; Ni Zhu (IPIN, 2024)

Datasets and Supporting Materials for the IPIN 2024 Competition Track 4 (Foot-Mounted IMU based Positioning, offsite-online). - Miguel Ortiz; Ziyou Li; Ni Zhu; Valérie Renaudin; Francesco Potorti; Joaquín Torres-Sospedra (Zenodo, 2024)

A Simplified Solution Separation Method for GNSS Fault Detection in Challenging Environments. - Yingying Jiang; Ni Zhu; Valérie Renaudin (ICL-GNSS, 2025)

Comparison of GNSS LOS/NLOS Labeling Techniques Based on a 3D model and Sky View Imagery for Soft Mobility and Vehicle Data in Urban Areas. - Benjamin Beaucamp; Thomas Leduc; Myriam Servières; Ni Zhu (PLANS, 2025)

GNSS Fault Rejection Using Robust Kalman Filter with Integrity Indicator-Constrained Innovation Adaptive Adjustment. - Yingying Jiang; Ni Zhu; Valérie Renaudin (PLANS, 2025)

Anomaly Filtering for Pedestrian Dead Reckoning Using Segment-Based Autoencoders. - Mohamad Issam Sayyaf; Ni Zhu; Valérie Renaudin (PLANS, 2025)

FGO-based Integrity Monitoring for Urban Positioning with Dynamic Covariance Scaling. - Oussama Tahri; Ni Zhu; David Bétaille (PLANS, 2025)

CarNet: A generative convolutional neural network-based line-of-sight/non-line-of-sight classifier for global navigation satellite systems by transforming multivariate time-series data into images. - Ni Zhu; Ruiwen He; Zhiqiang Wang (Eng. Appl. Artif. Intell., 2025)

Dynamic Process Noise Covariance Adjustment in GNSS/INS Integrated Navigation Using GRU-SAC for Enhanced Positioning Accuracy. - Haowen Wang; Junyu Wei; Jiangyi Qin; Ni Zhu; Meilin Ren; Zongqing Zhao; Liushun Hu (IEEE Trans. Intell. Transp. Syst., 2025)