Crowd Saliency Detection via Global Similarity Structure. - Mei Kuan Lim; Ven Jyn Kok; Chen Change Loy; Chee Seng Chan (ICPR, 2014)

Crowd behavior analysis: A review where physics meets biology. - Ven Jyn Kok; Mei Kuan Lim; Chee Seng Chan (Neurocomputing, 2016)

GrCS: Granular Computing-Based Crowd Segmentation. - Ven Jyn Kok; Chee Seng Chan (IEEE Trans. Cybern., 2017)

Granular-based dense crowd density estimation. - Ven Jyn Kok; Chee Seng Chan (Multim. Tools Appl., 2018)

Coherent Crowd Analysis in Still Image. - Nurul Japar; Chee Seng Chan; Ven Jyn Kok (MMSP, 2019)

Perspective-Aware Loss Function for Crowd Density Estimation. - Bedir Yilmaz; Ven Jyn Kok; Mei Kuan Lim; Siti Norul Huda Sheikh Abdullah (MVA, 2019)

Vanishing region loss for crowd density estimation. - Bedir Yilmaz; Siti Norul Huda Sheikh Abdullah; Ven Jyn Kok (Pattern Recognit. Lett., 2020)

Collectiveness analysis with visual attributes. - Nurul Japar; Ven Jyn Kok; Chee Seng Chan (Neurocomputing, 2021)

Coherent group detection in still image. - Nurul Japar; Ven Jyn Kok; Chee Seng Chan (Multim. Tools Appl., 2021)

Enhancing Facial Expression Recognition Under Data Uncertainty Based on Embedding Proximity. - Ning Chen; Ven Jyn Kok; Chee Seng Chan (IEEE Access, 2024)

A Systematic Literature Review: Classifying IoT Botnet Data Features Based on Its Lifecycle. - Shihao Liu; Fariza Fauzi; Ven Jyn Kok (IEEE Access, 2025)

Anomaly Detection Model in Network Security Situational Awareness Based on Machine Learning: Limitation, Techniques, and Future Trends. - Li Zhen; Nazhatul Hafizah Kamarudin; Ven Jyn Kok; Faizan Qamar (IEEE Access, 2025)