Investigations into Particle Swarm Optimization for Multi-class Shape Recognition. - Ee Lee Ng; Mei Kuan Lim; Tomás Maul; Weng-Kin Lai (ICONIP (2), 2008)

Hybrid particle swarm optimisation for data clustering. - Sing Loong Teng; Chee Seng Chan; Mei Kuan Lim; Weng Kin Lai (ICDIP, 2010)

Real-time estimation of point-of-interest in video surveillance based on visual fixation. - Mei Kuan Lim; Sze Ling Tang; Zulaikha Kadim; Ahmed A. Al-Obaidi; Norshuhada Samudin; Kim Meng Liang (ISSPA, 2010)

Hybrid blob and particle filter tracking approach for robust object tracking. - Sze Ling Tang; Zulaikha Kadim; Kim Meng Liang; Mei Kuan Lim (ICCS, 2010)

The Visual Object Tracking VOT2013 Challenge Results. - Matej Kristan; Roman P. Pflugfelder; Ales Leonardis; Jiri Matas; Fatih Porikli; Luka Cehovin; Georg Nebehay; Gustavo Fernández; Tomás Vojír; Adam Gatt; Ahmad Khajenezhad; Ahmed Salah El-Din; et al. (ICCV Workshops, 2013)

SwATrack: A Swarm Intelligence-based Abrupt Motion Tracker. - Mei Kuan Lim; Chee Seng Chan; Dorothy Ndedi Monekosso; Paolo Remagnino (MVA, 2013)

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

Detection of Salient Regions in Crowded Scenes. - Mei Kuan Lim; Chee Seng Chan; Dorothy Ndedi Monekosso; Paolo Remagnino (CoRR, 2014)

iSurveillance: Intelligent framework for multiple events detection in surveillance videos. - Mei Kuan Lim; Sze Ling Tang; Chee Seng Chan (Expert Syst. Appl., 2014)

Refined particle swarm intelligence method for abrupt motion tracking. - Mei Kuan Lim; Chee Seng Chan; Dorothy Ndedi Monekosso; Paolo Remagnino (Inf. Sci., 2014)

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

Optimising Search Operations with Swarm Intelligence. - Chung Hou Ng; Wern Han Lim; Mei Kuan Lim (APSIPA, 2019)

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

Robustness Evaluation of Stacked Generative Adversarial Networks using Metamorphic Testing. - Hyejin Park; Taaha Waseem; Wen Qi Teo; Ying Hwei Low; Mei Kuan Lim; Chun Yong Chong (MET@ICSE, 2021)

Metamorphic Testing-based Adversarial Attack to Fool Deepfake Detectors. - Nyee Thoang Lim; Meng Yi Kuan; Muxin Pu; Mei Kuan Lim; Chun Yong Chong (ICPR, 2022)

SERCNN: Stacked Embedding Recurrent Convolutional Neural Network in Detecting Depression on Twitter. - Heng Ee Tay; Mei Kuan Lim; Chun Yong Chong (ICPR Workshops (1), 2022)

Fairness Evaluation in Deepfake Detection Models using Metamorphic Testing. - Muxin Pu; Meng Yi Kuan; Nyee Thoang Lim; Chun Yong Chong; Mei Kuan Lim (MET@ICSE, 2022)

On the application of machine learning models to assess and predict software reusability. - Matthew Yit Hang Yeow; Chun Yong Chong; Mei Kuan Lim (MaLTeSQuE@ESEC/SIGSOFT FSE, 2022)

A comprehensive overview of Deepfake: Generation, detection, datasets, and opportunities. - Jia Wen Seow; Mei Kuan Lim; Raphaël C.-W. Phan; Joseph K. Liu (Neurocomputing, 2022)

Facial Expression Recognition as markers of Depression. - Jia Xuan Gue; Chun Yong Chong; Mei Kuan Lim (APSIPA ASC, 2023)

Towards Discrete Object Representations in Vision Transformers with Tensor Products. - Wei Yuen Teh; Chern Hong Lim; Mei Kuan Lim; Ian K. T. Tan (CSAI, 2023)

Robustness Evaluation in Hand Pose Estimation Models using Metamorphic Testing. - Muxin Pu; Chun Yong Chong; Mei Kuan Lim (MET, 2023)

ASDF: A Differential Testing Framework for Automatic Speech Recognition Systems. - Daniel Hao Xian Yuen; Andrew Yong Chen Pang; Zhou Yang 003; Chun Yong Chong; Mei Kuan Lim; David Lo 001 (ICST, 2023)

Synthesizing Speech Test Cases with Text-to-Speech? An Empirical Study on the False Alarms in Automated Speech Recognition Testing. - Julia Kaiwen Lau; Kelvin Kai Wen Kong; Julian Hao Yong; Per Hoong Tan; Zhou Yang 003; Zi Qian Yong; Joshua Chern Wey Low; Chun Yong Chong; Mei Kuan Lim; David Lo 001 (ISSTA, 2023)

Preprocessing Variations for Classification in Smart Manufacturing. - Brian Jing Hong Nge; Caleb En Hong Tan; Yi Zhen Nicholas Wong; Christine Chia Yi Chiong; Chun Yong Chong; Mei Kuan Lim; Weng Kin Lai (MMAsia (Workshops), 2023)

Exploring and Repairing Gender Fairness Violations in Word Embedding-based Sentiment Analysis Model through Adversarial Patches. - Lin Sze Khoo; Jia Qi Bay; Ming Lee Kimberly Yap; Mei Kuan Lim; Chun Yong Chong; Zhou Yang 003; David Lo 001 (SANER, 2023)

Effective UAV patrolling for swarm of intruders with heterogeneous behavior. - Ali Moltajaei Farid; Mei Kuan Lim; Md. Abdus Samad Kamal; Koksheik Wong (Robotica, 2023)

Assessing AI Detectors in Identifying AI-Generated Code: Implications for Education. - Wei Hung Pan; Ming Jie Chok; Jonathan Leong Shan Wong; Yung Xin Shin; Yeong Shian Poon; Zhou Yang 003; Chun Yong Chong; David Lo 001; Mei Kuan Lim (SEET@ICSE, 2024)

Siformer: Feature-isolated Transformer for Efficient Skeleton-based Sign Language Recognition. - Muxin Pu; Mei Kuan Lim; Chun Yong Chong (ACM Multimedia, 2024)

Machine Learning for Multimodal Mental Health Detection: A Systematic Review of Passive Sensing Approaches. - Lin Sze Khoo; Mei Kuan Lim; Chun Yong Chong; Roisin McNaney (Sensors, 2024)