Sim Kuan Goh

According to our database, Sim Kuan Goh authored at least 24 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Parameter Competition Balancing for Model Merging.

Guodong Du, Junlin Lee, Jing Li, Runhua Jiang, Yifei Guo, Shuyang Yu, Hanting Liu, Sim Kuan Goh, Ho-Kin Tang, Daojing He, Min Zhang

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

Impacts of Darwinian Evolution on Pre-trained Deep Neural Networks.

Guodong Du, Runhua Jiang, Senqiao Yang, HaoYang Li, Wei Chen, Keren Li, Sim Kuan Goh, Ho-Kin Tang

CoRR, 2024

Evolutionary Neural Architecture Search for 3D Point Cloud Analysis.

Yisheng Yang, Guodong Du, Chean Khim Toa, Ho-Kin Tang, Sim Kuan Goh

CoRR, 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

CADE: Cosine Annealing Differential Evolution for Spiking Neural Network.

Runhua Jiang, Guodong Du, Shuyang Yu, Yifei Guo, Sim Kuan Goh, Ho-Kin Tang

Proceedings of the International Joint Conference on Neural Networks, 2024

DSD-GAN: Double-Scale Discriminators GAN for Enhanced Chinese Brush Baimiao Painting Colorization.

Xiaoyang Bi, Yingqian Zhang, Sim Kuan Goh

Proceedings of the International Joint Conference on Neural Networks, 2024

Knowledge Fusion By Evolving Weights of Language Models.

Guodong Du, Jing Li, Hanting Liu, Runhua Jiang, Shuyang Yu, Yifei Guo, Sim Kuan Goh, Ho-Kin Tang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

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., June, 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., March, 2023

Enhancing Deep Neural Network Corruption Robustness using Evolutionary Algorithm.

Runhua Jiang, Senqiao Yang, HaoYang Li, Han Wang, Ho-Kin Tang, Sim Kuan Goh

Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 2023

2021

A Novel Non-population-based Meta-heuristic Optimizer Inspired by the Philosophy of Yi Jing.

Ho-Kin Tang, Sim Kuan Goh

CoRR, 2021

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., June, 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

Causal Effects of Landing Parameters on Runway Occupancy Time using Causal Machine Learning Models.

Zhi Jun Lim, Sim Kuan Goh, Imen Dhief, Sameer Alam

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

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

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

Proceedings of the 2019 IEEE-RIVF International Conference on Computing and Communication Technologies, 2019

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

Proceedings of the Augmented Cognition, 2019

2018

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

Proceedings of the 2018 International Conference on Cyberworlds, 2018

2017

Automatic EEG Artifact Removal Techniques by Detecting Influential Independent Components.

Sim Kuan Goh, Hussein A. Abbass, Kay Chen Tan, Abdullah Al Mamun, Chuanchu Wang, Cuntai Guan

IEEE Trans. Emerg. Top. Comput. Intell., 2017

2016

Decompositional independent component analysis using multi-objective optimization.

Sim Kuan Goh, Hussein A. Abbass, Kay Chen Tan, Abdullah Al Mamun

Soft Comput., 2016

Multiway analysis of EEG artifacts based on Block Term Decomposition.

Sim Kuan Goh, Hussein A. Abbass, Kay Chen Tan, Abdullah Al Mamun, Cuntai Guan, Chuanchu Wang

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Evolutionary Big Optimization (BigOpt) of Signals.

Sim Kuan Goh, Kay Chen Tan, Abdullah Al Mamun, Hussein A. Abbass

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

Artifact Removal from EEG Using a Multi-objective Independent Component Analysis Model.

Sim Kuan Goh, Hussein A. Abbass, Kay Chen Tan, Abdullah Al Mamun

Proceedings of the Neural Information Processing - 21st International Conference, 2014