Alert button
Picture for Chee-Keong Kwoh

Chee-Keong Kwoh

Alert button

Adaptive Stylization Modulation for Domain Generalized Semantic Segmentation

Apr 20, 2023
Gabriel Tjio, Ping Liu, Chee-Keong Kwoh, Joey Tianyi Zhou

Figure 1 for Adaptive Stylization Modulation for Domain Generalized Semantic Segmentation
Figure 2 for Adaptive Stylization Modulation for Domain Generalized Semantic Segmentation
Figure 3 for Adaptive Stylization Modulation for Domain Generalized Semantic Segmentation
Figure 4 for Adaptive Stylization Modulation for Domain Generalized Semantic Segmentation
Viaarxiv icon

Label-efficient Time Series Representation Learning: A Review

Feb 13, 2023
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li

Figure 1 for Label-efficient Time Series Representation Learning: A Review
Viaarxiv icon

CoTMix: Contrastive Domain Adaptation for Time-Series via Temporal Mixup

Dec 03, 2022
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li

Figure 1 for CoTMix: Contrastive Domain Adaptation for Time-Series via Temporal Mixup
Figure 2 for CoTMix: Contrastive Domain Adaptation for Time-Series via Temporal Mixup
Figure 3 for CoTMix: Contrastive Domain Adaptation for Time-Series via Temporal Mixup
Figure 4 for CoTMix: Contrastive Domain Adaptation for Time-Series via Temporal Mixup
Viaarxiv icon

Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation

Oct 10, 2022
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li

Figure 1 for Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation
Figure 2 for Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation
Figure 3 for Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation
Figure 4 for Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation
Viaarxiv icon

Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification

Aug 13, 2022
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li, Cuntai Guan

Figure 1 for Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification
Figure 2 for Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification
Figure 3 for Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification
Figure 4 for Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification
Viaarxiv icon

ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data

Mar 15, 2022
Mohamed Ragab, Emadeldeen Eldele, Wee Ling Tan, Chuan-Sheng Foo, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li

Figure 1 for ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data
Figure 2 for ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data
Figure 3 for ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data
Figure 4 for ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data
Viaarxiv icon

Attention over Self-attention:Intention-aware Re-ranking with Dynamic Transformer Encoders for Recommendation

Jan 14, 2022
Zhuoyi Lin, Sheng Zang, Rundong Wang, Zhu Sun, Chi Xu, Chee-Keong Kwoh

Figure 1 for Attention over Self-attention:Intention-aware Re-ranking with Dynamic Transformer Encoders for Recommendation
Figure 2 for Attention over Self-attention:Intention-aware Re-ranking with Dynamic Transformer Encoders for Recommendation
Figure 3 for Attention over Self-attention:Intention-aware Re-ranking with Dynamic Transformer Encoders for Recommendation
Figure 4 for Attention over Self-attention:Intention-aware Re-ranking with Dynamic Transformer Encoders for Recommendation
Viaarxiv icon

Self-supervised Autoregressive Domain Adaptation for Time Series Data

Nov 29, 2021
Mohamed Ragab, Emadeldeen Eldele, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li

Figure 1 for Self-supervised Autoregressive Domain Adaptation for Time Series Data
Figure 2 for Self-supervised Autoregressive Domain Adaptation for Time Series Data
Figure 3 for Self-supervised Autoregressive Domain Adaptation for Time Series Data
Figure 4 for Self-supervised Autoregressive Domain Adaptation for Time Series Data
Viaarxiv icon

Adversarial Domain Adaptation with Self-Training for EEG-based Sleep Stage Classification

Jul 09, 2021
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li, Cuntai Guan

Figure 1 for Adversarial Domain Adaptation with Self-Training for EEG-based Sleep Stage Classification
Figure 2 for Adversarial Domain Adaptation with Self-Training for EEG-based Sleep Stage Classification
Figure 3 for Adversarial Domain Adaptation with Self-Training for EEG-based Sleep Stage Classification
Figure 4 for Adversarial Domain Adaptation with Self-Training for EEG-based Sleep Stage Classification
Viaarxiv icon

GLIMG: Global and Local Item Graphs for Top-N Recommender Systems

Aug 18, 2020
Zhuoyi Lin, Lei Feng, Rui Yin, Chi Xu, Chee-Keong Kwoh

Figure 1 for GLIMG: Global and Local Item Graphs for Top-N Recommender Systems
Figure 2 for GLIMG: Global and Local Item Graphs for Top-N Recommender Systems
Figure 3 for GLIMG: Global and Local Item Graphs for Top-N Recommender Systems
Figure 4 for GLIMG: Global and Local Item Graphs for Top-N Recommender Systems
Viaarxiv icon