Chengju Zhou

According to our database, Chengju Zhou authored at least 23 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Portable vision-based gait assessment for post-stroke rehabilitation using an attention-based lightweight CNN.

Chengju Zhou, Daqin Feng, Shuyu Chen, Nianming Ban, Jiahui Pan

Expert Syst. Appl., March, 2024

GaitCTCG: cross-view gait recognition via cascaded residual temporal shift and comprehensive multi-granularity learning.

Binyuan Huang, Chengju Zhou, Lewei He, Chi Xu, Jiahui Pan

Appl. Intell., February, 2024

A Novel EEG-Based Parkinson's Disease Detection Model Using Multiscale Convolutional Prototype Networks.

Lina Qiu, Jianping Li, Liangquan Zhong, Weisen Feng, Chengju Zhou, Jiahui Pan

IEEE Trans. Instrum. Meas., 2024

2023

ICE-GCN: An interactional channel excitation-enhanced graph convolutional network for skeleton-based action recognition.

Shuxi Wang, Jiahui Pan, Binyuan Huang, Pingzhi Liu, Zina Li, Chengju Zhou

Mach. Vis. Appl., May, 2023

Automatic Hemiplegia Gait Assessment for Post-Stroke by an Efficient Hybrid Attention-Based GhostNet.

Chengju Zhou, Daqin Feng, Lewei He, Nianming Ban, Shuxi Wang, Jiahui Pan

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Enhanced Multi-Task Learning Architecture for Detecting Pedestrian at Far Distance.

Chengju Zhou, Meiqing Wu, Siew-Kei Lam

IEEE Trans. Intell. Transp. Syst., 2022

A Unified Multi-Task Learning Architecture for Fast and Accurate Pedestrian Detection.

Chengju Zhou, Meiqing Wu, Siew-Kei Lam

IEEE Trans. Intell. Transp. Syst., 2022

STACE-GCN: A Spatio-Temporal-Aware Channel Excited Graph Convolutional Network for Skeleton-based Action Recognition.

Shuxi Wang, Chengju Zhou, Jiahui Pan, Pingzhi Liu, Daqin Feng, Zina Li

Proceedings of the IEEE Smartworld, 2022

GaitMSTP: Multi-Granularity Spatio-Temporal Pyramid for Gait Recognition Under Complex Covariation Conditions.

Binyuan Huang, Chengju Zhou, Chi Xu, Jiahui Pan

Proceedings of the IEEE International Joint Conference on Biometrics, 2022

2021

Fast and accurate vision-based pedestrian detection

Chengju Zhou

PhD thesis, 2021

Multiple-Differential Mechanism for Collision-Optimized Divide-and-Conquer Attacks.

Changhai Ou, Chengju Zhou, Siew-Kei Lam, Guiyuan Jiang

IEEE Trans. Inf. Forensics Secur., 2021

Information Entropy-Based Leakage Profiling.

Changhai Ou, Xinping Zhou, Siew-Kei Lam, Chengju Zhou, Fangxin Ning

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

Detecting Lower MMSE Scores in Older Adults Using Cross-Trial Features From a Dual-Task With Gait and Arithmetic.

Shuqiong Wu, Taku Matsuura, Fumio Okura, Yasushi Makihara, Chengju Zhou, Kota Aoki, Ikuhisa Mitsugami, Yasushi Yagi

IEEE Access, 2021

2020

Group Cost-Sensitive BoostLR With Vector Form Decorrelated Filters for Pedestrian Detection.

Chengju Zhou, Meiqing Wu, Siew-Kei Lam

IEEE Trans. Intell. Transp. Syst., 2020

A First Study of Compressive Sensing for Side-Channel Leakage Sampling.

Changhai Ou, Chengju Zhou, Siew-Kei Lam

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

A Lightweight Detection Algorithm For Collision-Optimized Divide-and-Conquer Attacks.

Changhai Ou, Siew-Kei Lam, Chengju Zhou, Guiyuan Jiang, Fan Zhang

IEEE Trans. Computers, 2020

2018

Compressive Sensing based Leakage Sampling and Reconstruction: A First Study.

Changhai Ou, Chengju Zhou, Siew-Kei Lam

IACR Cryptol. ePrint Arch., 2018

2017

Fast and Accurate Pedestrian Detection using Dual-Stage Group Cost-Sensitive RealBoost with Vector Form Filters.

Chengju Zhou, Meiqing Wu, Siew-Kei Lam

Proceedings of the 2017 ACM on Multimedia Conference, 2017

Group Cost-sensitive Boosting with Multi-scale Decorrelated Filters for Pedestrian Detection.

Chengju Zhou, Meiqing Wu, Siew-Kei Lam

Proceedings of the British Machine Vision Conference 2017, 2017

2016

Robust and low complexity obstacle detection and tracking.

Meiqing Wu, Chengju Zhou, Thambipillai Srikanthan

Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

2015

Constrained Multi-View Video Face Clustering.

Xiaochun Cao, Changqing Zhang, Chengju Zhou, Huazhu Fu, Hassan Foroosh

IEEE Trans. Image Process., 2015

Multi-cue Augmented Face Clustering.

Chengju Zhou, Changqing Zhang, Huazhu Fu, Rui Wang, Xiaochun Cao

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

2014

Video Face Clustering via Constrained Sparse Representation.

Chengju Zhou, Changqing Zhang, Xuewei Li, Gaotao Shi, Xiaochun Cao

Proceedings of the IEEE International Conference on Multimedia and Expo, 2014