Chee-Keong Kwoh

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 20

Top Topics

Personalized Recommendation

Ensemble Clustering

Domain Adaptation

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

Briefings Bioinform.

Publications

Mohamed Ragab, Emadeldeen Eldele, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li
Self-Supervised Autoregressive Domain Adaptation for Time Series Data. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Yubo Hou, Tram Truong-Huu, Zhenghua Chen, Chee-Keong Kwoh, Sin G. Teo
PROTEUS: Domain Adaptation for Dynamic Features in AI-assisted Windows Malware Detection. ICDM (Workshops) (2023)
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li, Cuntai Guan
Self-Supervised Contrastive Representation Learning for Semi-Supervised Time-Series Classification. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Xiaolei Yu, Zhibin Zhao, Xingwu Zhang, Shaohua Tian, Chee-Keong Kwoh, Xiaoli Li, Xuefeng Chen
A universal transfer network for machinery fault diagnosis. Comput. Ind. 151 (2023)
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li, Cuntai Guan
ADAST: Attentive Cross-Domain EEG-Based Sleep Staging Framework With Iterative Self-Training. IEEE Trans. Emerg. Top. Comput. Intell. 7 (1) (2023)
Gabriel Tjio, Ping Liu, Chee-Keong Kwoh, Joey Tianyi Zhou
Adaptive Stylization Modulation for Domain Generalized Semantic Segmentation. CoRR (2023)
Dong Huang, Chang-Dong Wang, Hongxing Peng, Jianhuang Lai, Chee-Keong Kwoh
Enhanced Ensemble Clustering via Fast Propagation of Cluster-Wise Similarities. IEEE Trans. Syst. Man Cybern. Syst. 51 (1) (2021)
Mohamed Ragab, Zhenghua Chen, Min Wu, Haoliang Li, Chee-Keong Kwoh, Ruqiang Yan, Xiaoli Li
Adversarial Multiple-Target Domain Adaptation for Fault Classification. IEEE Trans. Instrum. Meas. 70 (2021)
Mohamed Ragab, Emadeldeen Eldele, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li
Self-supervised Autoregressive Domain Adaptation for Time Series Data. CoRR (2021)
Xiaosha Cai, Dong Huang, Chang-Dong Wang, Chee-Keong Kwoh
Spectral Clustering by Subspace Randomization and Graph Fusion for High-Dimensional Data. PAKDD (1) (2020)
Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Ruqiang Yan, Xiaoli Li
Attention Sequence to Sequence Model for Machine Remaining Useful Life Prediction. CoRR (2020)
Zhuoyi Lin, Lei Feng, Rui Yin, Chi Xu, Chee-Keong Kwoh
GLIMG: Global and Local Item Graphs for Top-N Recommender Systems. CoRR (2020)
Dong Huang, Chang-Dong Wang, Jian-Sheng Wu, Jian-Huang Lai, Chee-Keong Kwoh
Ultra-Scalable Spectral Clustering and Ensemble Clustering. IEEE Trans. Knowl. Data Eng. 32 (6) (2020)
Pingjian Ding, Wenjue Ouyang, Jiawei Luo, Chee-Keong Kwoh
Heterogeneous information network and its application to human health and disease. Briefings Bioinform. 21 (4) (2020)
Dong Huang, Chang-Dong Wang, Jian-Sheng Wu, Jian-Huang Lai, Chee-Keong Kwoh
Ultra-Scalable Spectral Clustering and Ensemble Clustering. CoRR (2019)
Zhuoyi Lin, Lei Feng, Chee-Keong Kwoh, Chi Xu
Fast Top-N Personalized Recommendation on Item Graph. IEEE BigData (2019)
Dengju Yao, Xiaojuan Zhan, Chee-Keong Kwoh
An improved random forest-based computational model for predicting novel miRNA-disease associations. BMC Bioinform. 20 (1) (2019)
Dong Huang, Chang-Dong Wang, Hongxing Peng, Jianhuang Lai, Chee-Keong Kwoh
Enhanced Ensemble Clustering via Fast Propagation of Cluster-wise Similarities. CoRR (2018)
Xinrui Zhou, Jie Zheng, Fransiskus Xaverius Ivan, Rui Yin, Shoba Ranganathan, Vincent T. K. Chow, Chee-Keong Kwoh
Computational analysis of the receptor binding specificity of novel influenza A/H7N9 viruses. BMC Genom. 19 (S2) (2018)
Dong Huang, Chang-Dong Wang, Jian-Huang Lai, Chee-Keong Kwoh
Toward Multi-Diversified Ensemble Clustering of High-Dimensional Data. CoRR (2017)
Thuy-Diem Nguyen, Bertil Schmidt, Zejun Zheng, Chee-Keong Kwoh
Efficient and Accurate OTU Clustering with GPU-Based Sequence Alignment and Dynamic Dendrogram Cutting. IEEE ACM Trans. Comput. Biol. Bioinform. 12 (5) (2015)
Thuy-Diem Nguyen, Bertil Schmidt, Chee-Keong Kwoh
Fast dendrogram-based OTU clustering using sequence embedding. BCB (2014)
Baowei Fei, Wan Sing Ng, Sunita Chauhan, Chee-Keong Kwoh
The safety issues of medical robotics. Reliab. Eng. Syst. Saf. 73 (2) (2001)
Zou Qingsong, Chee-Keong Kwoh, Wan Sing Ng
Interactive Surgical Planning Using Context Based Volume Visualization Techniques. MIAR (2001)
Zou Qingsong, Chee-Keong Kwoh, Wan Sing Ng
Convex object based volume visualization: a formal proof and example. Comput. Graph. 25 (5) (2001)
Gideon Ho, Wan Sing Ng, Ming Yeong Teo, Chee-Keong Kwoh, Christopher Wai Sam Cheng
Computer-assisted transurethral laser resection of the prostate (CALRP): theoretical and experimental motion plan. IEEE Trans. Biomed. Eng. 48 (10) (2001)
Chee Fatt Chan, Chee-Keong Kwoh, Ming Yeong Teo, Wan Sing Ng
Tessellated Surface Reconstruction from 2D Contours. MICCAI (1999)
Chee-Keong Kwoh, Duncan Fyfe Gillies
Probabilistic reasoning and multiple-expert methodology for correlated objective data. Artif. Intell. Eng. 12 (1-2) (1998)
Chee-Keong Kwoh, Duncan Fyfe Gillies
Choice of error cost function for training unobservable nodes in Bayesian networks. KES (2) (1997)
Chee-Keong Kwoh, Duncan Fyfe Gillies
Using Hidden Nodes in Bayesian Networks. Artif. Intell. 88 (1-2) (1996)
Chee-Keong Kwoh, Duncan Fyfe Gillies
Estimating the initial values of unobservable variables in visual probabilistic networks. CAIP (1995)