Mei Kuan Lim

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 27

Top Topics

Swarm Intelligence

Saliency Detection

Speech Recognition

Top Venues

Publications

Wei Hung Pan, Ming Jie Chok, Jonathan Leong Shan Wong, Yung Xin Shin, Yeong Shian Poon, Zhou Yang, Chun Yong Chong, David Lo, Mei Kuan Lim
Assessing AI Detectors in Identifying AI-Generated Code: Implications for Education. SEET@ICSE (2024)
Wei Hung Pan, Ming Jie Chok, Jonathan Leong Shan Wong, Yung Xin Shin, Yeong Shian Poon, Zhou Yang, Chun Yong Chong, David Lo, Mei Kuan Lim
Assessing AI Detectors in Identifying AI-Generated Code: Implications for Education. CoRR (2024)
Lin Sze Khoo, Mei Kuan Lim, Chun Yong Chong, Roisin McNaney
Machine Learning for Multimodal Mental Health Detection: A Systematic Review of Passive Sensing Approaches. Sensors 24 (2) (2024)
Muxin Pu, Chun Yong Chong, Mei Kuan Lim
Robustness Evaluation in Hand Pose Estimation Models using Metamorphic Testing. MET (2023)
Lin Sze Khoo, Jia Qi Bay, Ming Lee Kimberly Yap, Mei Kuan Lim, Chun Yong Chong, Zhou Yang, David Lo
Exploring and Repairing Gender Fairness Violations in Word Embedding-based Sentiment Analysis Model through Adversarial Patches. SANER (2023)
Daniel Hao Xian Yuen, Andrew Yong Chen Pang, Zhou Yang, Chun Yong Chong, Mei Kuan Lim, David Lo
ASDF: A Differential Testing Framework for Automatic Speech Recognition Systems. CoRR (2023)
Julia Kaiwen Lau, Kelvin Kai Wen Kong, Julian Hao Yong, Per Hoong Tan, Zhou Yang, Zi Qian Yong, Joshua Chern Wey Low, Chun Yong Chong, Mei Kuan Lim, David Lo
Synthesizing Speech Test Cases with Text-to-Speech? An Empirical Study on the False Alarms in Automated Speech Recognition Testing. ISSTA (2023)
Wei Yuen Teh, Chern Hong Lim, Mei Kuan Lim, Ian K. T. Tan
Towards Discrete Object Representations in Vision Transformers with Tensor Products. CSAI (2023)
Julia Kaiwen Lau, Kelvin Kai Wen Kong, Julian Hao Yong, Per Hoong Tan, Zhou Yang, Zi Qian Yong, Joshua Chern Wey Low, Chun Yong Chong, Mei Kuan Lim, David Lo
Synthesizing Speech Test Cases with Text-to-Speech? An Empirical Study on the False Alarms in Automated Speech Recognition Testing. CoRR (2023)
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
Preprocessing Variations for Classification in Smart Manufacturing. MMAsia (Workshops) (2023)
Jia Xuan Gue, Chun Yong Chong, Mei Kuan Lim
Facial Expression Recognition as markers of Depression. APSIPA ASC (2023)
Ali Moltajaei Farid, Mei Kuan Lim, Md. Abdus Samad Kamal, Koksheik Wong
Effective UAV patrolling for swarm of intruders with heterogeneous behavior. Robotica 41 (6) (2023)
Muxin Pu, Chun Yong Chong, Mei Kuan Lim
Robustness Evaluation in Hand Pose Estimation Models using Metamorphic Testing. CoRR (2023)
Daniel Hao Xian Yuen, Andrew Yong Chen Pang, Zhou Yang, Chun Yong Chong, Mei Kuan Lim, David Lo
ASDF: A Differential Testing Framework for Automatic Speech Recognition Systems. ICST (2023)
Muxin Pu, Meng Yi Kuan, Nyee Thoang Lim, Chun Yong Chong, Mei Kuan Lim
Fairness Evaluation in Deepfake Detection Models using Metamorphic Testing. CoRR (2022)
Jia Wen Seow, Mei Kuan Lim, Raphaël C.-W. Phan, Joseph K. Liu
A comprehensive overview of Deepfake: Generation, detection, datasets, and opportunities. Neurocomputing 513 (2022)
Matthew Yit Hang Yeow, Chun Yong Chong, Mei Kuan Lim
On the application of machine learning models to assess and predict software reusability. MaLTeSQuE@ESEC/SIGSOFT FSE (2022)
Heng Ee Tay, Mei Kuan Lim, Chun Yong Chong
SERCNN: Stacked Embedding Recurrent Convolutional Neural Network in Detecting Depression on Twitter. CoRR (2022)
Heng Ee Tay, Mei Kuan Lim, Chun Yong Chong
SERCNN: Stacked Embedding Recurrent Convolutional Neural Network in Detecting Depression on Twitter. ICPR Workshops (1) (2022)
Nyee Thoang Lim, Meng Yi Kuan, Muxin Pu, Mei Kuan Lim, Chun Yong Chong
Metamorphic Testing-based Adversarial Attack to Fool Deepfake Detectors. CoRR (2022)
Nyee Thoang Lim, Meng Yi Kuan, Muxin Pu, Mei Kuan Lim, Chun Yong Chong
Metamorphic Testing-based Adversarial Attack to Fool Deepfake Detectors. ICPR (2022)
Muxin Pu, Meng Yi Kuan, Nyee Thoang Lim, Chun Yong Chong, Mei Kuan Lim
Fairness Evaluation in Deepfake Detection Models using Metamorphic Testing. MET@ICSE (2022)
Hyejin Park, Taaha Waseem, Wen Qi Teo, Ying Hwei Low, Mei Kuan Lim, Chun Yong Chong
Robustness Evaluation of Stacked Generative Adversarial Networks using Metamorphic Testing. MET@ICSE (2021)
Hyejin Park, Taaha Waseem, Wen Qi Teo, Ying Hwei Low, Mei Kuan Lim, Chun Yong Chong
Robustness Evaluation of Stacked Generative Adversarial Networks using Metamorphic Testing. CoRR (2021)
Ng Chung Hou, Wern Han Lim, Mei Kuan Lim
Optimising Search Operations with Swarm Intelligence. APSIPA (2019)
Bedir Yilmaz, Ven Jyn Kok, Mei Kuan Lim, Siti Norul Huda Sheikh Abdullah
Perspective-Aware Loss Function for Crowd Density Estimation. MVA (2019)
Ven Jyn Kok, Mei Kuan Lim, Chee Seng Chan
Crowd behavior analysis: A review where physics meets biology. Neurocomputing 177 (2016)
Ven Jyn Kok, Mei Kuan Lim, Chee Seng Chan
Crowd Behavior Analysis: A Review where Physics meets Biology. CoRR (2015)
Mei Kuan Lim, Ven Jyn Kok, Chen Change Loy, Chee Seng Chan
Crowd Saliency Detection via Global Similarity Structure. CoRR (2014)
Mei Kuan Lim, Sze Ling Tang, Chee Seng Chan
iSurveillance: Intelligent framework for multiple events detection in surveillance videos. Expert Syst. Appl. 41 (10) (2014)
Mei Kuan Lim, Chee Seng Chan, Dorothy Ndedi Monekosso, Paolo Remagnino
Detection of Salient Regions in Crowded Scenes. CoRR (2014)
Mei Kuan Lim, Chee Seng Chan, Dorothy Ndedi Monekosso, Paolo Remagnino
Refined particle swarm intelligence method for abrupt motion tracking. Inf. Sci. 283 (2014)
Mei Kuan Lim, Ven Jyn Kok, Chen Change Loy, Chee Seng Chan
Crowd Saliency Detection via Global Similarity Structure. ICPR (2014)
Mei Kuan Lim, Chee Seng Chan, Dorothy Ndedi Monekosso, Paolo Remagnino
Refined Particle Swarm Intelligence Method for Abrupt Motion Tracking. CoRR (2014)
Mei Kuan Lim, Chee Seng Chan, Dorothy Ndedi Monekosso, Paolo Remagnino
SwATrack: A Swarm Intelligence-based Abrupt Motion Tracker. MVA (2013)
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, Ali Soltani-Farani, Ali Zarezade, Alfredo Petrosino, Anthony Milton, Behzad Bozorgtabar, Bo Li, Chee Seng Chan, Cherkeng Heng, Dale A. Ward, David A. Kearney, Dorothy Monekosso, Hakki Can Karaimer, Hamid R. Rabiee, Jianke Zhu, Jin Gao, Jingjing Xiao, Junge Zhang, Junliang Xing, Kaiqi Huang, Karel Lebeda, Lijun Cao, Mario Edoardo Maresca, Mei Kuan Lim, Mohamed ElHelw, Michael Felsberg, Paolo Remagnino, Richard Bowden, Roland Goecke, Rustam Stolkin, Samantha YueYing Lim, Sara Maher, Sébastien Poullot, Sebastien C. Wong, Shin'ichi Satoh, Weihua Chen, Weiming Hu, Xiaoqin Zhang, Yang Li, Zhi Heng Niu
The Visual Object Tracking VOT2013 Challenge Results. ICCV Workshops (2013)
Sing Loong Teng, Chee Seng Chan, Mei Kuan Lim, Weng Kin Lai
Hybrid particle swarm optimisation for data clustering. ICDIP (2010)
Sze Ling Tang, Zulaikha Kadim, Kim Meng Liang, Mei Kuan Lim
Hybrid blob and particle filter tracking approach for robust object tracking. ICCS (1) (2010)
Mei Kuan Lim, Sze Ling Tang, Zulaikha Kadim, Ahmed A. Al-Obaidi, Norshuhada Samudin, Kim Meng Liang
Real-time estimation of point-of-interest in video surveillance based on visual fixation. ISSPA (2010)
Ee Lee Ng, Mei Kuan Lim, Tomás Maul, Weng-Kin Lai
Investigations into Particle Swarm Optimization for Multi-class Shape Recognition. ICONIP (2) (2008)