Research on the Business Operation Model Based on Semantic Web Service and MAS. - Hao Xu; Lixin Shen; Xinlian Xie; Qinglian Wang; Yan Liu; Kejia Wang (CIS (2), 2008)

Chinese Chess Character Recognition with Radial Harmonic Fourier Moments. - Kejia Wang; Honggang Zhang; Ziliang Ping; Haiying (ICDAR, 2011)

Inertial measurements of free-living activities: Assessing mobility to predict falls. - Kejia Wang; Nigel H. Lovell; Michael B. Del Rosario; Ying Liu 044; Jingjing Wang; Michael R. Narayanan; Matthew A. Brodie; Kim Delbaere; Jasmine Menant; Stephen R. Lord; Stephen J. Redmond (EMBC, 2014)

Experimental demonstration of basic functionalities for 0.1-THz orbital angular momentum (OAM) communications. - Long Zhu; Xuli Wei; Jian Wang 060; Zhongqi Zhang; Zhuoyu Li; Han Zhang; Shuhui Li 005; Kejia Wang; Jinsong Liu (OFC, 2014)

New Methods to Monitor Stair Ascents Using a Wearable Pendant Device Reveal How Behavior, Fear, and Frailty Influence Falls in Octogenarians. - Matthew A. Brodie; Kejia Wang; Kim Delbaere; Michela Persiani; Nigel H. Lovell; Stephen James Redmond; Michael B. Del Rosario; Stephen R. Lord (IEEE Trans. Biomed. Eng., 2015)

Wearable pendant device monitoring using new wavelet-based methods shows daily life and laboratory gaits are different. - Matthew A. Brodie; Milou J. Coppens; Stephen R. Lord; Nigel H. Lovell; Yves J. Gschwind; Stephen James Redmond; Michael B. Del Rosario; Kejia Wang; Daina L. Sturnieks; Michela Persiani; Kim Delbaere (Medical Biol. Eng. Comput., 2016)

基于子带能熵比的语音端点检测算法 (Speech Endpoint Detection Algorithm Based on Sub-band Energy-entropy-ratio). - Yi Zhang; Kejia Wang; Bing Xi; Bo Yan (计算机科学, 2017)

Differences Between Gait on Stairs and Flat Surfaces in Relation to Fall Risk and Future Falls. - Kejia Wang; Kim Delbaere; Matthew A. Brodie; Nigel H. Lovell; Lauren Kark; Stephen R. Lord; Stephen J. Redmond (IEEE J. Biomed. Health Informatics, 2017)

Real-time Millimeter-wave 3D SAR Imaging with Orthogonal Bistatic Model. - Hanjiang Chen; Zhengang Yang; Jinsong Liu; Kejia Wang (ICVIP, 2020)

Deep Learning for Activity Recognition in Older People Using a Pocket-Worn Smartphone. - Yashi Nan; Nigel H. Lovell; Stephen J. Redmond; Kejia Wang; Kim Delbaere; Kimberley S. van Schooten (Sensors, 2020)

DAISM-DNNXMBD: Highly accurate cell type proportion estimation with in silico data augmentation and deep neural networks. - Yating Lin; Haojun Li; Xu Xiao; Lei Zhang; Kejia Wang; Jingbo Zhao; Minshu Wang; Frank Zheng; Minwei Zhang; Wenxian Yang; Jiahuai Han; Rongshan Yu (Patterns, 2022)

Discrete Radial-Harmonic-Fourier Moments for Image Description. - Kejia Wang; Ziliang Ping; Yunlong Sheng (ICMVA, 2023)

SlimWiFi: Ultra-Low-Power IoT Radio Architecture Enabled by Asymmetric Communication. - Renjie Zhao 001; Kejia Wang; Kai Zheng 003; Xinyu Zhang 003; Vincent Leung (NSDI, 2023)

Integrating Multiple Cloud Platforms to Build a Data Pipeline for Recommendation Systems. - Ranjeet Nagarkar; Colin Bennie; Kejia Wang; Mark Lam; Daniel Gonzalez; Mahesh B. Chaudhari (DSIT, 2024)

Generative adversarial networks with deep blind degradation powered terahertz ptychography. - Ziwei Ming; Defeng Liu; Long Xiao; Siyu Tu; Peng Chen; Yingshan Ma; Jinsong Liu; Zhengang Yang; Kejia Wang (Displays, 2024)

Pedestrian safety alarm system based on binocular distance measurement for trucks using recognition feature analysis. - Tingting Bao; Ding Lin; Xumei Zhang; Zhiguo Zhou; Kejia Wang (Auton. Intell. Syst., 2024)