Video Face Clustering via Constrained Sparse Representation. - Chengju Zhou; Changqing Zhang; Xuewei Li; Gaotao Shi; Xiaochun Cao (ICME, 2014)

Multi-cue Augmented Face Clustering. - Chengju Zhou; Changqing Zhang; Huazhu Fu; Rui Wang 032; Xiaochun Cao (ACM Multimedia, 2015)

Constrained Multi-View Video Face Clustering. - Xiaochun Cao; Changqing Zhang; Chengju Zhou; Huazhu Fu; Hassan Foroosh (IEEE Trans. Image Process., 2015)

Robust and low complexity obstacle detection and tracking. - Meiqing Wu; Chengju Zhou; Thambipillai Srikanthan (ITSC, 2016)

Group Cost-sensitive Boosting with Multi-scale Decorrelated Filters for Pedestrian Detection. - Chengju Zhou; Meiqing Wu; Siew-Kei Lam (BMVC, 2017)

Fast and Accurate Pedestrian Detection using Dual-Stage Group Cost-Sensitive RealBoost with Vector Form Filters. - Chengju Zhou; Meiqing Wu; Siew-Kei Lam (ACM Multimedia, 2017)

Compressive Sensing based Leakage Sampling and Reconstruction: A First Study. - Changhai Ou; Chengju Zhou; Siew-Kei Lam (IACR Cryptol. ePrint Arch., 2018)

A Lightweight Detection Algorithm For Collision-Optimized Divide-and-Conquer Attacks. - Changhai Ou; Siew-Kei Lam; Chengju Zhou; Guiyuan Jiang; Fan Zhang 010 (IEEE Trans. Computers, 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)

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)

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)

An Improved Two-stream Inflated 3D ConvNet for Abnormal Behavior Detection. - Jiahui Pan; Liangxin Liu; Mianfen Lin; Shengzhou Luo; Chengju Zhou; Huijian Liao; Fei Wang 026 (Intell. Autom. Soft Comput., 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)

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)

Fast and accurate vision-based pedestrian detection - Chengju Zhou (2021)

GaitMSTP: Multi-Granularity Spatio-Temporal Pyramid for Gait Recognition Under Complex Covariation Conditions. - Binyuan Huang; Chengju Zhou; Chi Xu; Jiahui Pan (IJCB, 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 (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 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)

Enhanced Multi-Task Learning Architecture for Detecting Pedestrian at Far Distance. - Chengju Zhou; Meiqing Wu; Siew-Kei Lam (IEEE Trans. Intell. Transp. Syst., 2022)

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 (IJCNN, 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., 2023)

An attention-based adaptive spatial-temporal graph convolutional network for long-video ergonomic risk assessment. - Chengju Zhou; Jiayu Zeng; Lina Qiu; Shuxi Wang; Pingzhi Liu; Jiahui Pan (Eng. Appl. Artif. Intell., 2024)

SFT-SGAT: A semi-supervised fine-tuning self-supervised graph attention network for emotion recognition and consciousness detection. - Lina Qiu; Liangquan Zhong; Jianping Li; Weisen Feng; Chengju Zhou; Jiahui Pan (Neural Networks, 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)

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., 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., 2024)

Non-invasive Emotion Perception from Gait by Sparse and Spatial-Temporal Excitation Based Graph Convolutional Network. - Liangyu Lu; Chengju Zhou (ICIC (21), 2025)

Attention-aware spatio-temporal learning for multi-view gait-based age estimation and gender classification. - Binyuan Huang; Yongdong Luo; Jiahui Xie; Jiahui Pan; Chengju Zhou (IET Comput. Vis., 2025)

PerioDet: Large-Scale Panoramic Radiograph Benchmark for Clinical-Oriented Apical Periodontitis Detection. - Xiaocheng Fang; Jieyi Cai; Huanyu Liu; Chengju Zhou; Minhua Lu; Bingzhi Chen (CoRR, 2025)