Kernel-Based Method for Automated Walking Patterns Recognition Using Kinematics Data. - Jianning Wu; Jue Wang; Li Liu (ICNC (2), 2006)

Kernel-Based Feature Extraction for Automated Gait Classification Using Kinetics Data. - Jianning Wu (ICNC (4), 2008)

Design and Testing of a Generic Algorithm for Assessment of Human Walking. - Jianning Wu (ICNC (6), 2009)

A novel approach for discrimination of human gait using kernel learning algorithm. - Jianning Wu (ICNC, 2010)

Automated recognition of human gait pattern using manifold learning algorithm. - Jianning Wu (ICNC, 2012)

A novel denoising algorithm for acceleration signal based on compressed sensing. - Jianning Wu; Yun Ling; Jiajing Wang (ICNC-FSKD, 2017)

An Advanced Hybrid Technique of DCS and JSRC for Telemonitoring of Multi-Sensor Gait Pattern. - Jianning Wu; Jiajing Wang; Yun Ling; Haidong Xu (Sensors, 2017)

DCS-based MBSBL joint reconstruction of multi-sensors data for energy-efficient telemonitoring of human activity. - Jianning Wu; Jiajing Wang; Yun Ling (Int. J. Distributed Sens. Networks, 2018)

Rethinking the constraints of multimodal fusion: case study in Weakly-Supervised Audio-Visual Video Parsing. - Jianning Wu; Zhuqing Jiang; Shiping Wen 001; Aidong Men; Haiying Wang 005 (CoRR, 2021)

Toward a perceptive pretraining framework for Audio-Visual Video Parsing. - Jianning Wu; Zhuqing Jiang; Qingchao Chen; Shiping Wen 001; Aidong Men; Haiying Wang 005 (Inf. Sci., 2022)

Accurate Identification of Gait Asymmetry in LLD Based on Wearable Sensors and Deep Learning. - Yujie Shi; Jianning Wu (CISP-BMEI, 2023)

Clustering Network Based on Pre-Clustering Center Codebook. - Qiulong An; Jianning Wu; Tianqiang Huang; Liqing Huang; Haifeng Luo; Feng Ye (ISKE, 2023)

Discrimination of Normal Side Gait Changes in Gait Asymmetry Using a Multi-Kernel Convolution Model. - Zhirui Chen; Jianning Wu (ISKE, 2023)

Early Identification of Gait Asymmetry Using a Dual-Channel Hybrid Deep Learning Model Based on a Wearable Sensor. - Jianning Wu; Yuanbo Liu; Xiaoyan Wu (Symmetry, 2023)

A novel graph-based hybrid deep learning of cumulative GRU and deeper GCN for recognition of abnormal gait patterns using wearable sensors. - Jianning Wu; Jiesheng Huang; Xiaoyan Wu; Houde Dai (Expert Syst. Appl., 2023)

A Novel Spatio-Temporal Network of Multi-channel CNN and GCN for Human Activity Recognition Based on BAN. - Jianning Wu; Qianghui Liu (Neural Process. Lett., 2023)

Adaptive Graph Convolutional Fusion Network for Skeleton-Based Abnormal Gait Recognition. - Liang Wang; Jianning Wu (ICPR (25), 2024)

A novel adaptive spatial-temporal cross-graph convolutional fusion learning network for skeleton-based abnormal gait recognition. - Liang Wang; Xiaoyan Wu; Bin Wu; Jianning Wu (Eng. Appl. Artif. Intell., 2025)