Artifact Removal from EEG Using a Multi-objective Independent Component Analysis Model. - Sim Kuan Goh; Hussein A. Abbass; Kay Chen Tan; Abdullah Al Mamun 002 (ICONIP (1), 2014)

Evolutionary Big Optimization (BigOpt) of Signals. - Sim Kuan Goh; Kay Chen Tan; Abdullah Al Mamun 002; Hussein A. Abbass (CEC, 2015)

Multiway analysis of EEG artifacts based on Block Term Decomposition. - Sim Kuan Goh; Hussein A. Abbass; Kay Chen Tan; Abdullah Al Mamun 002; Cuntai Guan; Chuanchu Wang (IJCNN, 2016)

Decompositional independent component analysis using multi-objective optimization. - Sim Kuan Goh; Hussein A. Abbass; Kay Chen Tan; Abdullah Al Mamun 002 (Soft Comput., 2016)

Automatic EEG Artifact Removal Techniques by Detecting Influential Independent Components. - Sim Kuan Goh; Hussein A. Abbass; Kay Chen Tan; Abdullah Al Mamun 002; Chuanchu Wang; Cuntai Guan (IEEE Trans. Emerg. Top. Comput. Intell., 2017)

Classifying Brain Activities in Perception of Shape-Analogous English Letters Based on EEG Signal. - Rohit Bose; Sim Kuan Goh; Kian Foong Wong; Nitish V. Thakor; Anastasios Bezerianos; Junhua Li (CW, 2018)

Construction of Air Traffic Controller's Decision Network Using Error-Related Potential. - Sim Kuan Goh; Ngoc Phu Tran; Duc-Thinh Pham; Sameer Alam; Kurtulus Izzetoglu; Vu N. Duong (HCI (15), 2019)

Reinforcement Learning for Two-Aircraft Conflict Resolution in the Presence of Uncertainty. - Duc-Thinh Pham; Ngoc Phu Tran; Sim Kuan Goh; Sameer Alam; Vu N. Duong (RIVF, 2019)

Classification of brain signal (EEG) induced by shape-analogous letter perception. - Rohit Bose; Sim Kuan Goh; Kian Foong Wong; Nitish V. Thakor; Anastasios Bezerianos; Junhua Li (Adv. Eng. Informatics, 2019)

Causal Effects of Landing Parameters on Runway Occupancy Time using Causal Machine Learning Models. - Zhi Jun Lim; Sim Kuan Goh; Imen Dhief; Sameer Alam (SSCI, 2020)

Learning Interpretable Flight's 4D Landing Parameters Using Tunnel Gaussian Process. - Sim Kuan Goh; Narendra Pratap Singh; Zhi Jun Lim; Sameer Alam (CoRR, 2020)

An Interactive Conflict Solver for Learning Air Traffic Conflict Resolutions. - Ngoc Phu Tran; Duc-Thinh Pham; Sim Kuan Goh; Sameer Alam; Vu N. Duong (J. Aerosp. Inf. Syst., 2020)

A Novel Non-population-based Meta-heuristic Optimizer Inspired by the Philosophy of Yi Jing. - Ho-Kin Tang; Sim Kuan Goh (CoRR, 2021)

Enhancing Deep Neural Network Corruption Robustness using Evolutionary Algorithm. - Runhua Jiang; Senqiao Yang; HaoYang Li; Han Wang; Ho-Kin Tang; Sim Kuan Goh (CIS-RAM, 2023)

Lower extremity kinematics walking speed classification using long short-term memory neural frameworks. - Wan Shi Low; Kheng Yee Goh; Sim Kuan Goh; Chen-Hua Yeow; Khin Wee Lai; Siew-Li Goh; Joon Huang Chuah; Chow Khuen Chan (Multim. Tools Appl., 2023)

Interpretable Tracking and Detection of Unstable Approaches Using Tunnel Gaussian Process. - Sim Kuan Goh; Narendra Pratap Singh; Zhi Jun Lim; Sameer Alam (IEEE Trans. Aerosp. Electron. Syst., 2023)

Knowledge Fusion By Evolving Weights of Language Models. - Guodong Du 002; Jing Li 034; Hanting Liu; Runhua Jiang; Shuyang Yu; Yifei Guo; Sim Kuan Goh; Ho-Kin Tang (ACL (Findings), 2024)

DSD-GAN: Double-Scale Discriminators GAN for Enhanced Chinese Brush Baimiao Painting Colorization. - Xiaoyang Bi; Yingqian Zhang 002; Sim Kuan Goh (IJCNN, 2024)

CADE: Cosine Annealing Differential Evolution for Spiking Neural Network. - Runhua Jiang; Guodong Du 002; Shuyang Yu; Yifei Guo; Sim Kuan Goh; Ho-Kin Tang (IJCNN, 2024)

Parameter Competition Balancing for Model Merging. - Guodong Du 002; Junlin Lee; Jing Li 034; Runhua Jiang; Yifei Guo; Shuyang Yu; Hanting Liu; Sim Kuan Goh; Ho-Kin Tang; Daojing He; Min Zhang 005 (NeurIPS, 2024)

Impacts of Darwinian Evolution on Pre-Trained Deep Neural Networks. - Guodong Du 002; Runhua Jiang; Senqiao Yang; Haoyang Li; Wei Chen; Keren Li; Sim Kuan Goh; Ho-Kin Tang (SMC, 2024)

Evolutionary Neural Architecture Search for 3D Point Cloud Analysis. - Yisheng Yang; Guodong Du 002; Chean Khim Toa; Ho-Kin Tang; Sim Kuan Goh (SMC, 2024)

Super-Resolution GAN and Global Aware Object Detection System for Vehicle Detection in Complex Traffic Environments. - Hongqing Wang; Jun Kit Chaw; Sim Kuan Goh; Liantao Shi; Tin Tin Ting; Nannan Huang; Hong-Seng Gan (IEEE Access, 2024)

Impacts of Darwinian Evolution on Pre-trained Deep Neural Networks. - Guodong Du 002; Runhua Jiang; Senqiao Yang; HaoYang Li; Wei Chen; Keren Li; Sim Kuan Goh; Ho-Kin Tang (CoRR, 2024)

Meta-heuristic Optimizer Inspired by the Philosophy of Yi Jing. - Yisheng Yang; Sim Kuan Goh; Qing Cai; Shen Yuong Wong; Ho-Kin Tang (CoRR, 2024)

Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer. - Guodong Du 002; Zitao Fang; Jing Li 034; Junlin Li; Runhua Jiang; Shuyang Yu; Yifei Guo; Yangneng Chen; Sim Kuan Goh; Ho-Kin Tang; Daojing He; Honghai Liu 001; et al. (ACL (1), 2025)

Multi-Modality Expansion and Retention for LLMs through Parameter Merging and Decoupling. - Junlin Li; Guodong Du 002; Jing Li 034; Sim Kuan Goh; Wenya Wang; Yequan Wang; Fangming Liu; Ho-Kin Tang; Saleh Alharbi; Daojing He; Min Zhang 005 (ACL (1), 2025)

Disentangling Task Interference within Neurons: Model Merging in Alignment with Neuronal Mechanisms. - Zitao Fang; Guodong Du 002; Shuyang Yu; Yifei Guo; Yiwei Zhang; Jing Li 034; Ho-Kin Tang; Sim Kuan Goh (CoRR, 2025)