Chee-Keong Kwoh

36 papers A 1C 1Misc 1Journal 23Unranked 7
YearRankTypeTitle / Venue / Authors
2024 J jnl
Self-Supervised Autoregressive Domain Adaptation for Time Series Data.
IEEE Trans. Neural Networks Learn. Syst.
Mohamed Ragab, Emadeldeen Eldele, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li
2023 J jnl
A universal transfer network for machinery fault diagnosis.
Comput. Ind.
Xiaolei Yu, Zhibin Zhao, Xingwu Zhang, Shaohua Tian, Chee-Keong Kwoh, Xiaoli Li, Xuefeng Chen
2023 J jnl
ADAST: Attentive Cross-Domain EEG-Based Sleep Staging Framework With Iterative Self-Training.
IEEE Trans. Emerg. Top. Comput. Intell.
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li, Cuntai Guan
2023 J jnl
Adaptive Stylization Modulation for Domain Generalized Semantic Segmentation.
CoRR
Gabriel Tjio, Ping Liu, Chee-Keong Kwoh, Joey Tianyi Zhou
2023 — conf
PROTEUS: Domain Adaptation for Dynamic Features in AI-assisted Windows Malware Detection.
ICDM (Workshops)
Yubo Hou, Tram Truong Huu, Zhenghua Chen, Chee-Keong Kwoh, Sin G. Teo
2023 J jnl
Self-Supervised Contrastive Representation Learning for Semi-Supervised Time-Series Classification.
IEEE Trans. Pattern Anal. Mach. Intell.
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li, Cuntai Guan
2022 — ed.
IEEE Symposium Series on Computational Intelligence, SSCI 2022, Singapore, December 4-7, 2022
SSCI
Hisao Ishibuchi, Chee-Keong Kwoh, Ah-Hwee Tan, Dipti Srinivasan, Chunyan Miao, Anupam Trivedi, Keeley A. Crockett
2021 J jnl
Adversarial Multiple-Target Domain Adaptation for Fault Classification.
IEEE Trans. Instrum. Meas.
Mohamed Ragab, Zhenghua Chen, Min Wu, Haoliang Li, Chee-Keong Kwoh, Ruqiang Yan, Xiaoli Li
2021 J jnl
Enhanced Ensemble Clustering via Fast Propagation of Cluster-Wise Similarities.
IEEE Trans. Syst. Man Cybern. Syst.
Dong Huang, Chang-Dong Wang, Hongxing Peng, Jianhuang Lai, Chee-Keong Kwoh
2021 J jnl
Self-supervised Autoregressive Domain Adaptation for Time Series Data.
CoRR
Mohamed Ragab, Emadeldeen Eldele, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li
2020 J jnl
Attention Sequence to Sequence Model for Machine Remaining Useful Life Prediction.
CoRR
Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Ruqiang Yan, Xiaoli Li
2020 J jnl
GLIMG: Global and Local Item Graphs for Top-N Recommender Systems.
CoRR
Zhuoyi Lin, Lei Feng, Rui Yin, Chi Xu, Chee-Keong Kwoh
2020 J jnl
Heterogeneous information network and its application to human health and disease.
Briefings Bioinform.
Pingjian Ding, Wenjue Ouyang, Jiawei Luo, Chee-Keong Kwoh
2020 — conf
Spectral Clustering by Subspace Randomization and Graph Fusion for High-Dimensional Data.
PAKDD (1)
Xiaosha Cai, Dong Huang, Chang-Dong Wang, Chee-Keong Kwoh
2020 J jnl
Ultra-Scalable Spectral Clustering and Ensemble Clustering.
IEEE Trans. Knowl. Data Eng.
Dong Huang, Chang-Dong Wang, Jian-Sheng Wu, Jian-Huang Lai, Chee-Keong Kwoh
2019 J jnl
An improved random forest-based computational model for predicting novel miRNA-disease associations.
BMC Bioinform.
Dengju Yao, Xiaojuan Zhan, Chee-Keong Kwoh
2019 — conf
Fast Top-N Personalized Recommendation on Item Graph.
IEEE BigData
Zhuoyi Lin, Lei Feng, Chee-Keong Kwoh, Chi Xu
2019 — ch.
Genome Analysis - Identification of Genes Involved in Host-Pathogen Protein-Protein Interaction Networks.
Encyclopedia of Bioinformatics and Computational Biology (3)
Fransiskus Xaverius Ivan, Chee-Keong Kwoh, Vincent T. K. Chow, Jie Zheng
2019 — ch.
Molecular Dynamics and Simulation.
Encyclopedia of Bioinformatics and Computational Biology (2)
Liangzhen Zheng, Amr Alhossary, Chee-Keong Kwoh, Yuguang Mu
2019 J jnl
Ultra-Scalable Spectral Clustering and Ensemble Clustering.
CoRR
Dong Huang, Chang-Dong Wang, Jian-Sheng Wu, Jian-Huang Lai, Chee-Keong Kwoh
2018 J jnl
Computational analysis of the receptor binding specificity of novel influenza A/H7N9 viruses.
BMC Genom.
Xinrui Zhou, Jie Zheng, Fransiskus Xaverius Ivan, Rui Yin, Shoba Ranganathan, Vincent T. K. Chow, Chee-Keong Kwoh
2018 J jnl
Enhanced Ensemble Clustering via Fast Propagation of Cluster-wise Similarities.
CoRR
Dong Huang, Chang-Dong Wang, Hongxing Peng, Jianhuang Lai, Chee-Keong Kwoh
2017 J jnl
Toward Multi-Diversified Ensemble Clustering of High-Dimensional Data.
CoRR
Dong Huang, Chang-Dong Wang, Jian-Huang Lai, Chee-Keong Kwoh
2015 J jnl
Efficient and Accurate OTU Clustering with GPU-Based Sequence Alignment and Dynamic Dendrogram Cutting.
IEEE ACM Trans. Comput. Biol. Bioinform.
Thuy-Diem Nguyen, Bertil Schmidt, Zejun Zheng, Chee-Keong Kwoh
2014 — conf
Fast dendrogram-based OTU clustering using sequence embedding.
BCB
Thuy-Diem Nguyen, Bertil Schmidt, Chee-Keong Kwoh
2014 Misc conf
Parameter estimation and simulation for one-choice Ratcliff diffusion model.
SAC
Amiya Patanaik, Vitali Zagorodnov, Chee-Keong Kwoh
2005 — conf
Applying the Clonal Selection Principle to Find Flexible Job-Shop Schedules.
ICARIS
Z. X. Ong, Joc Cing Tay, Chee-Keong Kwoh
2001 J jnl
Computer-assisted transurethral laser resection of the prostate (CALRP): theoretical and experimental motion plan.
IEEE Trans. Biomed. Eng.
Gideon Ho, Wan Sing Ng, Ming Yeong Teo, Chee-Keong Kwoh, Christopher Wai Sam Cheng
2001 J jnl
Convex object based volume visualization: a formal proof and example.
Comput. Graph.
Zou Qingsong, Chee-Keong Kwoh, Wan Sing Ng
2001 — conf
Interactive Surgical Planning Using Context Based Volume Visualization Techniques.
MIAR
Zou Qingsong, Chee-Keong Kwoh, Wan Sing Ng
2001 J jnl
The safety issues of medical robotics.
Reliab. Eng. Syst. Saf.
Baowei Fei, Wan Sing Ng, Sunita Chauhan, Chee-Keong Kwoh
1999 A conf
Tessellated Surface Reconstruction from 2D Contours.
MICCAI
Chee Fatt Chan, Chee-Keong Kwoh, Ming Yeong Teo, Wan Sing Ng
1998 J jnl
Probabilistic reasoning and multiple-expert methodology for correlated objective data.
Artif. Intell. Eng.
Chee-Keong Kwoh, Duncan Fyfe Gillies
1997 — conf
Choice of error cost function for training unobservable nodes in Bayesian networks.
KES (2)
Chee-Keong Kwoh, Duncan Fyfe Gillies
1996 J jnl
Using Hidden Nodes in Bayesian Networks.
Artif. Intell.
Chee-Keong Kwoh, Duncan Fyfe Gillies
1995 C conf
Estimating the initial values of unobservable variables in visual probabilistic networks.
CAIP
Chee-Keong Kwoh, Duncan Fyfe Gillies