Designing crease patterns for polyhedra by composing right frusta. - Herng Yi Cheng; Kang Hao Cheong (Comput. Aided Des., 2012)

Pedestrian Group-Crossing Behavior Modeling and Simulation Based on Multidimensional Dirty Faces Game. - Shunqiang Ye; Lu Wang 009; Kang Hao Cheong; Nenggang Xie (Complex., 2017)

Integrated Virtual Laboratory in Engineering Mathematics Education: Fourier Theory. - Kang Hao Cheong; Jin Ming Koh (IEEE Access, 2018)

A time-based switching scheme for nomadic-colonial alternation under noisy conditions. - Kang Hao Cheong; Zong Xuan Tan; Yan Hao Ling (Commun. Nonlinear Sci. Numer. Simul., 2018)

Paradoxical Simulations to Enhance Education in Mathematics. - Kang Hao Cheong; Jin Ming Koh; Darren J. Yeo; Zong Xuan Tan; Brenda Oon Eng Boo; Guan Ying Lee (IEEE Access, 2019)

Practical Automated Video Analytics for Crowd Monitoring and Counting. - Kang Hao Cheong; Sandra Poeschmann; Joel Weijia Lai; Jin Ming Koh; U. Rajendra Acharya; Simon Ching Man Yu; Kenneth Jian Wei Tang (IEEE Access, 2019)

A Novel Methodology to Improve Cooling Efficiency at Data Centers. - Kang Hao Cheong; Kenneth Jian Wei Tang; Jin Ming Koh; Simon Ching Man Yu; U. Rajendra Acharya; Nenggang Xie (IEEE Access, 2019)

Forecasting Hospital Emergency Department Patient Volume Using Internet Search Data. - Andrew Fu Wah Ho; Bryan Zhan Yuan Se To; Jin Ming Koh; Kang Hao Cheong (IEEE Access, 2019)

Progressive Information Polarization in a Complex-Network Entropic Social Dynamics Model. - Chao Wang 105; Jin Ming Koh; Kang Hao Cheong; Nenggang Xie (IEEE Access, 2019)

Automated detection of schizophrenia using nonlinear signal processing methods. - V. Jahmunah 001; Shu Lih Oh; V. Rajinikanth; Edward J. Ciaccio; Kang Hao Cheong; Arunkumar N.; U. Rajendra Acharya (Artif. Intell. Medicine, 2019)

Passive network evolution promotes group welfare in complex networks. - Ye Ye 001; Xiao Rong Hang; Jin Ming Koh; Jaroslaw Adam Miszczak; Kang Hao Cheong; Nenggang Xie (CoRR, 2019)

Bargaining with entropy and energy. - S. G. Babajanyan; Kang Hao Cheong; Armen E. Allahverdyan (CoRR, 2019)

Automated prediction of sepsis using temporal convolutional network. - Christopher Kok 001; V. Jahmunah 001; Shu Lih Oh; Xujuan Zhou; Raj Gururajan; Xiaohui Tao 001; Kang Hao Cheong; Rashmi Gururajan; Filippo Molinari; U. Rajendra Acharya (Comput. Biol. Medicine, 2020)

Multi-level information fusion to alleviate network congestion. - Joel Weijia Lai; Jie Chang; Lay Kee Ang; Kang Hao Cheong (Inf. Fusion, 2020)

When does the Physarum Solver Distinguish the Shortest Path from other Paths: the Transition Point and its Applications. - Yusheng Huang; Dong Chu; Joel Weijia Lai; Yong Deng 001; Kang Hao Cheong (CoRR, 2021)

Information fractal dimension of mass function. - Chenhui Qiang; Yong Deng 001; Kang Hao Cheong (CoRR, 2021)

Probability transformation of mass function: A weighted network method based on the ordered visibility graph. - Luyuan Chen; Yong Deng 001; Kang Hao Cheong (Eng. Appl. Artif. Intell., 2021)

Multilevel Deep Feature Generation Framework for Automated Detection of Retinal Abnormalities Using OCT Images. - Prabal Datta Barua; Wai-Yee Chan; Sengül Dogan; Mehmet Baygin; Türker Tuncer; Edward J. Ciaccio; Nazrul Islam; Kang Hao Cheong; Zakia Sultana Shahid; U. Rajendra Acharya (Entropy, 2021)

Combining conflicting evidence based on Pearson correlation coefficient and weighted graph. - Jixiang Deng; Yong Deng 001; Kang Hao Cheong (Int. J. Intell. Syst., 2021)

Multisource basic probability assignment fusion based on information quality. - Dingbin Li; Yong Deng 001; Kang Hao Cheong (Int. J. Intell. Syst., 2021)

The fractal dimension of complex networks: A review. - Tao Wen 003; Kang Hao Cheong (Inf. Fusion, 2021)

Relative entropy of Z-numbers. - Yangxue Li; Danilo Pelusi; Yong Deng 001; Kang Hao Cheong (Inf. Sci., 2021)

Identifying influential nodes in complex networks: Effective distance gravity model. - Qiuyan Shang; Yong Deng 001; Kang Hao Cheong (Inf. Sci., 2021)

A dynamic group MCDM model with intuitionistic fuzzy set: Perspective of alternative queuing method. - Ran Tao; Zeyi Liu 001; Rui Cai; Kang Hao Cheong (Inf. Sci., 2021)

A Review on Computer Aided Diagnosis of Acute Brain Stroke. - Mahesh Anil Inamdar; U. Raghavendra; Anjan Gudigar; Yashas Chakole; Ajay Hegde; Girish R. Menon; Prabal Datta Barua; Elizabeth Emma Palmer; Kang Hao Cheong; Wai-Yee Chan; Edward J. Ciaccio; U. Rajendra Acharya (Sensors, 2021)

A Physarum-inspired algorithm for logistics optimization: From the perspective of effective distance. - Dong Chu; Wenjian Ma; Zhuocheng Yang; Jingyu Li; Yong Deng 001; Kang Hao Cheong (Swarm Evol. Comput., 2021)

Identifying Influential Spreaders in Social Networks Through Discrete Moth-Flame Optimization. - Lu Wang 009; Lei Ma; Chao Wang 105; Nenggang Xie; Jin Ming Koh; Kang Hao Cheong (IEEE Trans. Evol. Comput., 2021)

Adoption of Virtual and Augmented Reality for Mathematics Education: A Scoping Review. - Joel Weijia Lai; Kang Hao Cheong (IEEE Access, 2022)

Educational Opportunities and Challenges in Augmented Reality: Featuring Implementations in Physics Education. - Joel Weijia Lai; Kang Hao Cheong (IEEE Access, 2022)

The arithmetics of two dimensional belief functions. - Yangxue Li; Danilo Pelusi; Kang Hao Cheong; Yong Deng 001 (Appl. Intell., 2022)

An improved multisource data fusion method based on a novel divergence measure of belief function. - Boxun Liu; Yong Deng 001; Kang Hao Cheong (Eng. Appl. Artif. Intell., 2022)

Enhanced mass Jensen-Shannon divergence for information fusion. - Lipeng Pan; Xiaozhuan Gao; Yong Deng 001; Kang Hao Cheong (Expert Syst. Appl., 2022)

The random walk-based gravity model to identify influential nodes in complex networks. - Jie Zhao; Tao Wen 003; Hadi Jahanshahi; Kang Hao Cheong (Inf. Sci., 2022)

The capacity constraint physarum solver. - Yusheng Huang; Dong Chu; Yong Deng 001; Kang Hao Cheong (J. Comput. Sci., 2022)

Exploring the vulnerability of transportation networks by entropy: A case study of Asia-Europe maritime transportation network. - Tao Wen 003; Qiuya Gao; Yu-Wang Chen; Kang Hao Cheong (Reliab. Eng. Syst. Saf., 2022)

A Hand-Modeled Feature Extraction-Based Learning Network to Detect Grasps Using sEMG Signal. - Mehmet Baygin; Prabal Datta Barua; Sengül Dogan; Türker Tuncer; Sefa Key; U. Rajendra Acharya; Kang Hao Cheong (Sensors, 2022)

Enhancing the MEP Coordination Process with BIM Technology and Management Strategies. - Ya Hui Teo; Jun Hong Yap; Hui An; Simon Ching Man Yu; Limao Zhang; Jie Chang; Kang Hao Cheong (Sensors, 2022)

Constrained Pythagorean Fuzzy Sets and Its Similarity Measure. - Lipeng Pan; Xiaozhuan Gao; Yong Deng 001; Kang Hao Cheong (IEEE Trans. Fuzzy Syst., 2022)

LFIC: Identifying Influential Nodes in Complex Networks by Local Fuzzy Information Centrality. - Haotian Zhang; Shen Zhong; Yong Deng 001; Kang Hao Cheong (IEEE Trans. Fuzzy Syst., 2022)

Compound Credibility for Conflicting Evidence Combination: An Autoencoder-K-Means Approach. - Qiuyan Shang; Hanwen Li; Yong Deng 001; Kang Hao Cheong (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Utilizing Google Cardboard Virtual Reality for Visualization in Multivariable Calculus. - Kang Hao Cheong; Joel Weijia Lai; Jun Hong Yap; Gideon Sian Wee Cheong; Stephanie Vericca Budiman; Omar Ortiz; Ankit Mishra; Darren J. Yeo (IEEE Access, 2023)

An efficient salp swarm algorithm based on scale-free informed followers with self-adaption weight. - Chao Wang 105; Ren-qian Xu; Lei Ma; Jie Zhao; Lu Wang 009; Nenggang Xie; Kang Hao Cheong (Appl. Intell., 2023)

Quaternion model of Pythagorean fuzzy sets and its distance measure. - Lipeng Pan; Yong Deng 001; Kang Hao Cheong (Expert Syst. Appl., 2023)

Continuous action iterated dilemma with data-driven compensation network and limited learning ability. - Can Qiu; Yahui Zhu; Kang Hao Cheong; Dengxiu Yu; C. L. Philip Chen (Inf. Sci., 2023)

Early identification of diffusion source in complex networks with evidence theory. - Jie Zhao; Kang Hao Cheong (Inf. Sci., 2023)

A Self-Adaptive Evolutionary Deception Framework for Community Structure. - Jie Zhao; Zhen Wang 004; Jinde Cao; Kang Hao Cheong (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Permutation Jensen-Shannon divergence for Random Permutation Set. - Luyuan Chen; Yong Deng 001; Kang Hao Cheong (Eng. Appl. Artif. Intell., 2023)

Identification of influential users with cost minimization via an improved moth flame optimization. - Chao Wang 105; Liangliang Ma; Lei Ma; Joel Weijia Lai; Jie Zhao; Lu Wang 009; Kang Hao Cheong (J. Comput. Sci., 2023)

Network Immunization Strategy by Eliminating Fringe Nodes: A Percolation Perspective. - Gang Liu 025; Yong Deng 001; Kang Hao Cheong (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Gravity-Based Community Vulnerability Evaluation Model in Social Networks: GBCVE. - Tao Wen 003; Jinde Cao; Kang Hao Cheong (IEEE Trans. Cybern., 2023)

The Distance of Random Permutation Set. - Luyuan Chen; Yong Deng 001; Kang Hao Cheong (Inf. Sci., 2023)

The intuitive decision preference and EEG features based on commonality heuristic. - Wanying Jia; Songjie Li; Shao Qian; Meng Wang; Wei Bao; Jie Zhao; Kang Hao Cheong; Nenggang Xie (Comput. Biol. Medicine, 2023)

PatchResNet: Multiple Patch Division-Based Deep Feature Fusion Framework for Brain Tumor Classification Using MRI Images. - Taha Müezzinoglu; Nursena Baygin; Ilknur Tuncer; Prabal Datta Barua; Mehmet Baygin; Sengul Dogan; Turker Tuncer; Elizabeth Emma Palmer; Kang Hao Cheong; U. Rajendra Acharya (J. Digit. Imaging, 2023)

Automated facial expression recognition using exemplar hybrid deep feature generation technique. - Mehmet Baygin; Ilknur Tuncer; Sengul Dogan; Prabal Datta Barua; Turker Tuncer; Kang Hao Cheong; U. Rajendra Acharya (Soft Comput., 2023)

Nonsingular Practical Fixed-Time Consensus Tracking for Multimotor System With Input Saturation. - Tao Zhang 103; Dengxiu Yu; Kang Hao Cheong; Yin-Ping Zhao; Zhen Wang 004; C. L. Philip Chen (IEEE Syst. J., 2023)

Dynamical Markov decision-making model based on mass function to quantitatively predict interference effects. - Lipeng Pan; Yong Deng 001; Kang Hao Cheong (Inf. Sci., 2023)

Multi-objective squirrel search algorithm for EEG feature selection. - Chao Wang 105; Songjie Li; Miao Shi; Jie Zhao; Tao Wen 003; U. Rajendra Acharya; Nenggang Xie; Kang Hao Cheong (J. Comput. Sci., 2023)

Adaptive Fuzzy Nonsingular Fixed-Time Control for a Class of MIMO Nonstrict Feedback System. - Kang Chen; Xuyang Wang; Dengxiu Yu; Kang Hao Cheong; Zhen Wang 004 (IEEE Trans. Fuzzy Syst., 2023)

Obfuscating Community Structure in Complex Network With Evolutionary Divide-and-Conquer Strategy. - Jie Zhao; Kang Hao Cheong (IEEE Trans. Evol. Comput., 2023)

Implementing GeoGebra 3D Calculator With Augmented Reality in Multivariable Calculus Education. - Kang Hao Cheong; Chui Ee Chu; Wei Khim Ng; Darren J. Yeo (IEEE Access, 2024)

Enhancing Biology Laboratory Learning: Student Perceptions of Performing Heart Dissection With Virtual Reality. - Chui Ee Chu; Gideon Sian Wee Cheong; Ankit Mishra; Yun Wen; Chen Huei Leo; Darren J. Yeo; Kang Hao Cheong (IEEE Access, 2024)

Limit of the Maximum Random Permutation Set Entropy. - Jiefeng Zhou; Zhen Li 051; Kang Hao Cheong; Yong Deng 001 (CoRR, 2024)

Multi-Domain Evolutionary Optimization of Network Structures. - Jie Zhao; Kang Hao Cheong; Yaochu Jin (CoRR, 2024)

Can LVLMs Describe Videos like Humans? A Five-in-One Video Annotations Benchmark for Better Human-Machine Comparison. - Shiyu Hu; Xuchen Li 001; Xuzhao Li; Jing Zhang 110; Yipei Wang; Xin Zhao 012; Kang Hao Cheong (CoRR, 2024)

Students Rather Than Experts: A New AI For Education Pipeline To Model More Human-Like And Personalised Early Adolescences. - Yiping Ma; Shiyu Hu; Xuchen Li 001; Yipei Wang; Shiqing Liu; Kang Hao Cheong (CoRR, 2024)

Deterministic convergence analysis for regularized long short-term memory and its application to regression and multi-classification problems. - Qian Kang; Dengxiu Yu; Kang Hao Cheong; Zhen Wang 004 (Eng. Appl. Artif. Intell., 2024)

Embedding model of multilayer networks structure and its application to identify influential nodes. - Mingli Lei; Kang Hao Cheong (Inf. Sci., 2024)

Sequence homology score-based deep fuzzy network for identifying therapeutic peptides. - Xiaoyi Guo; Ziyu Zheng; Kang Hao Cheong; Quan Zou 001; Prayag Tiwari; Yijie Ding (Neural Networks, 2024)

Fractal-based basic probability assignment: A transient mass function. - Li Zhu; Qianli Zhou; Yong Deng 001; Kang Hao Cheong (Inf. Sci., 2024)

Expert System-Based Multiagent Deep Deterministic Policy Gradient for Swarm Robot Decision Making. - Zhen Wang 004; Xiaoyue Jin; Tao Zhang 103; Jiahao Li; Dengxiu Yu; Kang Hao Cheong; C. L. Philip Chen (IEEE Trans. Cybern., 2024)

Complex Continuous Action Iterated Dilemma With Incremental Dynamic Model. - Zhen Wang 004; Haojing Li; Xiaoyue Jin; Dengxiu Yu; Kang Hao Cheong; Xuelong Li 001 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Application of local configuration pattern for automated detection of schizophrenia with electroencephalogram signals. - Joel Koh En Wei; Venkatesan Rajinikanth; Jahmunah Vicnesh; The-Hanh Pham; Shu Lih Oh; Chai Hong Yeong; Meena Sankaranarayanan; Aditya P. Kamath; Giliyar Muralidhar Bairy; Prabal Datta Barua; Kang Hao Cheong (Expert Syst. J. Knowl. Eng., 2024)

MASE: Multi-Attribute Source Estimator for Epidemic Transmission in Complex Networks. - Jie Zhao; Kang Hao Cheong (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Evidence generalization-based discounting method: assigning unreliable information to partial ignorance. - Qiying Hu; Qianli Zhou; Zhen Li 051; Yong Deng 001; Kang Hao Cheong (Artif. Intell. Rev., 2024)

Nonsingular Predefined Time Adaptive Dynamic Surface Control for Quantized Nonlinear Systems. - Hao Xu 017; Dengxiu Yu; Zhen Wang 004; Kang Hao Cheong; C. L. Philip Chen (IEEE Trans. Syst. Man Cybern. Syst., 2024)

BE-ECM: Belief Entropy-based Evidential C-Means and its application in data clustering. - Jixiang Deng; Guohui Zhou; Yong Deng 001; Kang Hao Cheong (Pattern Recognit., 2025)

Bridging Visualization and Optimization: Multimodal Large Language Models on Graph-Structured Combinatorial Optimization. - Jie Zhao; Kang Hao Cheong; Witold Pedrycz (CoRR, 2025)

Can Large Language Models Be Trusted as Black-Box Evolutionary Optimizers for Combinatorial Problems? - Jie Zhao; Tao Wen 003; Kang Hao Cheong (CoRR, 2025)

Fully Distributed Event-Triggered Nash Equilibrium Seeking for Networked Mean Field Games. - Jia Long; Dengxiu Yu; Kang Hao Cheong; Zhen Wang 004 (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Enhanced Epidemic Control: Community-Based Observer Placement and Source Tracing. - Jie Zhao; Kang Hao Cheong (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Visual Evolutionary Optimization on Combinatorial Problems with Multimodal Large Language Models: A Case Study of Influence Maximization. - Jie Zhao; Kang Hao Cheong (CoRR, 2025)

Predefined Time and Prespecified Precision for Bearing-Constrained AAV Swarm. - Tao Zhang 103; Dengxiu Yu; Kang Hao Cheong; Yan-Jun Liu 003; Zhen Wang 004 (IEEE Trans. Cybern., 2025)

Optimal Evolution Strategy for Continuous Strategy Games on Complex Networks via Reinforcement Learning. - Litong Fan; Dengxiu Yu; Kang Hao Cheong; Zhen Wang 004 (IEEE Trans. Neural Networks Learn. Syst., 2025)