Sim Kuan Goh

40 papers A* 2B 6C 1Journal 23Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Comparative Analysis of Augmented Reality and Virtual Reality in Biomedical Engineering Education: Acceptance and Learning Effectiveness.
Comput. Appl. Eng. Educ.
Koi-qi Lai, Chow Khuen Chan, Nur Afiqah Hashim, Chean Khim Toa, Che-Wei Lin, Sim Kuan Goh, Lai Kuan Tham
2025 J jnl
Demystifying Deep Learning-based Brain Tumor Segmentation with 3D UNets and Explainable AI (XAI): A Comparative Analysis.
CoRR
Ming Jie Ong, Sze Yinn Ung, Sim Kuan Goh, Jimmy Y. Zhong
2025 J jnl
Disentangling Task Interference within Neurons: Model Merging in Alignment with Neuronal Mechanisms.
CoRR
Zitao Fang, Guodong Du, Shuyang Yu, Yifei Guo, Yiwei Zhang, Jing Li, Ho-Kin Tang, Sim Kuan Goh
2025 J jnl
EEGDM: EEG Representation Learning via Generative Diffusion Model.
CoRR
Jia Hong Puah, Sim Kuan Goh, Ziwei Zhang, Zixuan Ye, Chow Khuen Chan, Kheng Seang Lim, Si Lei Fong, Kok Sin Woon, Cuntai Guan
2025 — conf
Multi-Modality Expansion and Retention for LLMs through Parameter Merging and Decoupling.
ACL (1)
Junlin Li, Guodong Du, Jing Li, Sim Kuan Goh, Wenya Wang, Yequan Wang, Fangming Liu, Ho-Kin Tang, Saleh Alharbi, Daojing He, Min Zhang
2025 J jnl
Multi-Modality Expansion and Retention for LLMs through Parameter Merging and Decoupling.
CoRR
Junlin Li, Guodong Du, Jing Li, Sim Kuan Goh, Wenya Wang, Yequan Wang, Fangming Liu, Ho-Kin Tang, Saleh Alharbi, Daojing He, Min Zhang
2025 J jnl
NeurIPT: Foundation Model for Neural Interfaces.
CoRR
Zitao Fang, Chenxuan Li, Hongting Zhou, Shuyang Yu, Guodong Du, Ashwaq Qasem, Yang Lu, Jing Li, Junsong Zhang, Sim Kuan Goh
2025 — conf
Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer.
ACL (1)
Guodong Du, Zitao Fang, Jing Li, Junlin Li, Runhua Jiang, Shuyang Yu, Yifei Guo, Yangneng Chen, Sim Kuan Goh, Ho-Kin Tang, Daojing He, Honghai Liu, Min Zhang
2025 J jnl
Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer.
CoRR
Guodong Du, Zitao Fang, Jing Li, Junlin Li, Runhua Jiang, Shuyang Yu, Yifei Guo, Yangneng Chen, Sim Kuan Goh, Ho-Kin Tang, Daojing He, Honghai Liu, Min Zhang
2025 J jnl
SleepDIFFormer: Sleep Stage Classification via Multivariate Differential Transformer.
CoRR
Benjamin Wei Hao Chin, Yuin Torng Yew, Haocheng Wu, Lanxin Liang, Chow Khuen Chan, Norita Mohd Zain, Siti Balqis Samdin, Sim Kuan Goh
2025 A* conf
To See a World in a Spark of Neuron: Disentangling Multi-Task Interference for Training-Free Model Merging.
EMNLP
Zitao Fang, Guodong Du, Shuyang Yu, Yifei Guo, Yiwei Zhang, Yiyao Cao, Jing Li, Ho-Kin Tang, Sim Kuan Goh
2024 B conf
CADE: Cosine Annealing Differential Evolution for Spiking Neural Network.
IJCNN
Runhua Jiang, Guodong Du, Shuyang Yu, Yifei Guo, Sim Kuan Goh, Ho-Kin Tang
2024 J jnl
CADE: Cosine Annealing Differential Evolution for Spiking Neural Network.
CoRR
Runhua Jiang, Guodong Du, Shuyang Yu, Yifei Guo, Sim Kuan Goh, Ho-Kin Tang
2024 B conf
DSD-GAN: Double-Scale Discriminators GAN for Enhanced Chinese Brush Baimiao Painting Colorization.
IJCNN
Xiaoyang Bi, Yingqian Zhang, Sim Kuan Goh
2024 B conf
Evolutionary Neural Architecture Search for 3D Point Cloud Analysis.
SMC
Yisheng Yang, Guodong Du, Chean Khim Toa, Ho-Kin Tang, Sim Kuan Goh
2024 J jnl
Evolutionary Neural Architecture Search for 3D Point Cloud Analysis.
CoRR
Yisheng Yang, Guodong Du, Chean Khim Toa, Ho-Kin Tang, Sim Kuan Goh
2024 B conf
Impacts of Darwinian Evolution on Pre-Trained Deep Neural Networks.
SMC
Guodong Du, Runhua Jiang, Senqiao Yang, Haoyang Li, Wei Chen, Keren Li, Sim Kuan Goh, Ho-Kin Tang
2024 J jnl
Impacts of Darwinian Evolution on Pre-trained Deep Neural Networks.
CoRR
Guodong Du, Runhua Jiang, Senqiao Yang, Haoyang Li, Wei Chen, Keren Li, Sim Kuan Goh, Ho-Kin Tang
2024 — conf
Knowledge Fusion By Evolving Weights of Language Models.
ACL (Findings)
Guodong Du, Jing Li, Hanting Liu, Runhua Jiang, Shuyang Yu, Yifei Guo, Sim Kuan Goh, Ho-Kin Tang
2024 J jnl
Knowledge Fusion By Evolving Weights of Language Models.
CoRR
Guodong Du, Jing Li, Hanting Liu, Runhua Jiang, Shuyang Yu, Yifei Guo, Sim Kuan Goh, Ho-Kin Tang
2024 J jnl
Meta-heuristic Optimizer Inspired by the Philosophy of Yi Jing.
CoRR
Yisheng Yang, Sim Kuan Goh, Qing Cai, Shen Yuong Wong, Ho-Kin Tang
2024 A* conf
Parameter Competition Balancing for Model Merging.
NeurIPS
Guodong Du, Junlin Lee, Jing Li, Runhua Jiang, Yifei Guo, Shuyang Yu, Hanting Liu, Sim Kuan Goh, Ho-Kin Tang, Daojing He, Min Zhang
2024 J jnl
Parameter Competition Balancing for Model Merging.
CoRR
Guodong Du, Junlin Lee, Jing Li, Runhua Jiang, Yifei Guo, Shuyang Yu, Hanting Liu, Sim Kuan Goh, Ho-Kin Tang, Daojing He, Min Zhang
2024 J jnl
Super-Resolution GAN and Global Aware Object Detection System for Vehicle Detection in Complex Traffic Environments.
IEEE Access
Hongqing Wang, Jun Kit Chaw, Sim Kuan Goh, Liantao Shi, Tin Tin Ting, Nannan Huang, Hong-Seng Gan
2023 — conf
Enhancing Deep Neural Network Corruption Robustness using Evolutionary Algorithm.
CIS-RAM
Runhua Jiang, Senqiao Yang, Haoyang Li, Han Wang, Ho-Kin Tang, Sim Kuan Goh
2023 J jnl
Interpretable Tracking and Detection of Unstable Approaches Using Tunnel Gaussian Process.
IEEE Trans. Aerosp. Electron. Syst.
Sim Kuan Goh, Narendra Pratap Singh, Zhi Jun Lim, Sameer Alam
2023 J jnl
Lower extremity kinematics walking speed classification using long short-term memory neural frameworks.
Multim. Tools Appl.
Wan Shi Low, Kheng Yee Goh, Sim Kuan Goh, Chen-Hua Yeow, Khin Wee Lai, Siew-Li Goh, Joon Huang Chuah, Chow Khuen Chan
2021 J jnl
A Novel Non-population-based Meta-heuristic Optimizer Inspired by the Philosophy of Yi Jing.
CoRR
Ho-Kin Tang, Sim Kuan Goh
2020 J jnl
An Interactive Conflict Solver for Learning Air Traffic Conflict Resolutions.
J. Aerosp. Inf. Syst.
Ngoc Phu Tran, Duc-Thinh Pham, Sim Kuan Goh, Sameer Alam, Vu N. Duong
2020 — conf
Causal Effects of Landing Parameters on Runway Occupancy Time using Causal Machine Learning Models.
SSCI
Zhi Jun Lim, Sim Kuan Goh, Imen Dhief, Sameer Alam
2020 J jnl
Learning Interpretable Flight's 4D Landing Parameters Using Tunnel Gaussian Process.
CoRR
Sim Kuan Goh, Narendra Pratap Singh, Zhi Jun Lim, Sameer Alam
2019 J jnl
Classification of brain signal (EEG) induced by shape-analogous letter perception.
Adv. Eng. Informatics
Rohit Bose, Sim Kuan Goh, Kian Foong Wong, Nitish V. Thakor, Anastasios Bezerianos, Junhua Li
2019 — conf
Construction of Air Traffic Controller's Decision Network Using Error-Related Potential.
HCI (15)
Sim Kuan Goh, Ngoc Phu Tran, Duc-Thinh Pham, Sameer Alam, Kurtulus Izzetoglu, Vu N. Duong
2019 — conf
Reinforcement Learning for Two-Aircraft Conflict Resolution in the Presence of Uncertainty.
RIVF
Duc-Thinh Pham, Ngoc Phu Tran, Sim Kuan Goh, Sameer Alam, Vu N. Duong
2018 C conf
Classifying Brain Activities in Perception of Shape-Analogous English Letters Based on EEG Signal.
CW
Rohit Bose, Sim Kuan Goh, Kian Foong Wong, Nitish V. Thakor, Anastasios Bezerianos, Junhua Li
2017 J jnl
Automatic EEG Artifact Removal Techniques by Detecting Influential Independent Components.
IEEE Trans. Emerg. Top. Comput. Intell.
Sim Kuan Goh, Hussein A. Abbass, Kay Chen Tan, Abdullah Al Mamun, Chuanchu Wang, Cuntai Guan
2016 J jnl
Decompositional independent component analysis using multi-objective optimization.
Soft Comput.
Sim Kuan Goh, Hussein A. Abbass, Kay Chen Tan, Abdullah Al Mamun
2016 B conf
Multiway analysis of EEG artifacts based on Block Term Decomposition.
IJCNN
Sim Kuan Goh, Hussein A. Abbass, Kay Chen Tan, Abdullah Al Mamun, Cuntai Guan, Chuanchu Wang
2015 B conf
Evolutionary Big Optimization (BigOpt) of Signals.
CEC
Sim Kuan Goh, Kay Chen Tan, Abdullah Al Mamun, Hussein A. Abbass
2014 — conf
Artifact Removal from EEG Using a Multi-objective Independent Component Analysis Model.
ICONIP (1)
Sim Kuan Goh, Hussein A. Abbass, Kay Chen Tan, Abdullah Al Mamun