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ORCIDCuntai Guan
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- affiliation: Nanyang Technological University, School of Computer Science and Engineering, Singapore
- affiliation (PhD 1993): Southeast University, Nanjing, China
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2020 – today
- 2023
[j64]Weijie Fei
, Luzheng Bi, Jiarong Wang, Shengchao Xia, Xinan Fan, Cuntai Guan:
Effects of Cognitive Distraction on Upper Limb Movement Decoding From EEG Signals. IEEE Trans. Biomed. Eng. 70(1): 166-174 (2023)- [j63]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): 210-221 (2023) - [j62]Chuanhao Zhang, Emil Jovanov, Hongen Liao, Yuan-Ting Zhang, Benny Lo, Yuan Zhang, Cuntai Guan:
Video Based Cocktail Causal Container for Blood Pressure Classification and Blood Glucose Prediction. IEEE J. Biomed. Health Informatics 27(2): 1118-1128 (2023) - [j61]Ziyuan Zhao, Fangcheng Zhou, Kaixin Xu, Zeng Zeng, Cuntai Guan, S. Kevin Zhou:
LE-UDA: Label-Efficient Unsupervised Domain Adaptation for Medical Image Segmentation. IEEE Trans. Medical Imaging 42(3): 633-646 (2023) - 2022
- [j60]Sirui Zhao, Huaying Tang, Shifeng Liu, Yangsong Zhang, Hao Wang, Tong Xu, Enhong Chen, Cuntai Guan:
ME-PLAN: A deep prototypical learning with local attention network for dynamic micro-expression recognition. Neural Networks 153: 427-443 (2022) - [j59]Su Zhang, Chuangao Tang, Cuntai Guan:
Visual-to-EEG cross-modal knowledge distillation for continuous emotion recognition. Pattern Recognit. 130: 108833 (2022) - [j58]Zhao Feng, Yi Sun, Linze Qian, Yu Qi, Yueming Wang, Cuntai Guan, Yu Sun:
Design a Novel BCI for Neurorehabilitation Using Concurrent LFP and EEG Features: A Case Study. IEEE Trans. Biomed. Eng. 69(5): 1554-1563 (2022) - [j57]Phairot Autthasan, Rattanaphon Chaisaen, Thapanun Sudhawiyangkul, Phurin Rangpong, Suktipol Kiatthaveephong, Nat Dilokthanakul, Gun Bhakdisongkhram, Huy Phan, Cuntai Guan, Theerawit Wilaiprasitporn:
MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification. IEEE Trans. Biomed. Eng. 69(6): 2105-2118 (2022) - [j56]Zeng Zeng, Wei Zhao, Peisheng Qian, Yingjie Zhou, Ziyuan Zhao, Cen Chen, Cuntai Guan:
Robust Traffic Prediction From Spatial-Temporal Data Based on Conditional Distribution Learning. IEEE Trans. Cybern. 52(12): 13458-13471 (2022) - [j55]Ji-Seon Bang, Min-Ho Lee, Siamac Fazli, Cuntai Guan, Seong-Whan Lee:
Spatio-Spectral Feature Representation for Motor Imagery Classification Using Convolutional Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33(7): 3038-3049 (2022) - [c183]Su Zhang, Ruyi An, Yi Ding, Cuntai Guan:
Continuous Emotion Recognition using Visual-audio-linguistic Information: A Technical Report for ABAW3. CVPR Workshops 2022: 2375-2380 - [c182]Ziyuan Zhao, Wenjing Lu, Zeng Zeng, Kaixin Xu, Bharadwaj Veeravalli, Cuntai Guan:
Self-supervised Assisted Active Learning for Skin Lesion Segmentation. EMBC 2022: 5043-5046 - [c181]Ziyuan Zhao, Jinxuan Hu, Zeng Zeng, Xulei Yang, Peisheng Qian, Bharadwaj Veeravalli, Cuntai Guan:
MMGL: Multi-Scale Multi-View Global-Local Contrastive Learning for Semi-Supervised Cardiac Image Segmentation. ICIP 2022: 401-405 - [c180]Ziyuan Zhao, Andong Zhu, Zeng Zeng, Bharadwaj Veeravalli, Cuntai Guan:
ACT-NET: Asymmetric Co-Teacher Network for Semi-Supervised Memory-Efficient Medical Image Segmentation. ICIP 2022: 1426-1430 - [c179]Xi Fu, Liming Zhao, Cuntai Guan:
MATN: Multi-model Attention Network for Gait Prediction from EEG. IJCNN 2022: 1-8 - [c178]Chengxuan Tong, Yi Ding, Kevin Lim Jun Liang, Zhuo Zhang, Haihong Zhang, Cuntai Guan:
TESANet: Self-attention network for olfactory EEG classification. IJCNN 2022: 1-7 - [c177]Ziyuan Zhao, Fangcheng Zhou, Zeng Zeng, Cuntai Guan, S. Kevin Zhou:
Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation. MICCAI (5) 2022: 128-139 - [c176]Shuailei Zhang, Dezhi Zheng, Ning Tang, Effie Chew, Rosary Yuting Lim, Kai Keng Ang, Cuntai Guan:
Online Adaptive CNN: a Session-to-session Transfer Learning Approach for Non-stationary EEG. SSCI 2022: 164-170 - [i37]Erico Tjoa, Hong Jing Khok, Tushar Chouhan, Cuntai Guan:
Improving Deep Neural Network Classification Confidence using Heatmap-based eXplainable AI. CoRR abs/2201.00009 (2022) - [i36]Ce Ju, Cuntai Guan:
Deep Optimal Transport on SPD Manifolds for Domain Adaptation. CoRR abs/2201.05745 (2022) - [i35]Ce Ju, Cuntai Guan:
Tensor-CSPNet: A Novel Geometric Deep Learning Framework for Motor Imagery Classification. CoRR abs/2202.02472 (2022) - [i34]Ziyuan Zhao, Kaixin Xu, Shumeng Li, Zeng Zeng, Cuntai Guan:
MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels. CoRR abs/2203.12454 (2022) - [i33]Su Zhang, Ruyi An, Yi Ding, Cuntai Guan:
Continuous Emotion Recognition using Visual-audio-linguistic information: A Technical Report for ABAW3. CoRR abs/2203.13031 (2022) - [i32]Ziyuan Zhao, Wenjing Lu, Zeng Zeng, Kaixin Xu, Bharadwaj Veeravalli, Cuntai Guan:
Self-supervised Assisted Active Learning for Skin Lesion Segmentation. CoRR abs/2205.07021 (2022) - [i31]Ziyuan Zhao, Jinxuan Hu, Zeng Zeng, Xulei Yang, Peisheng Qian, Bharadwaj Veeravalli, Cuntai Guan:
MMGL: Multi-Scale Multi-View Global-Local Contrastive learning for Semi-supervised Cardiac Image Segmentation. CoRR abs/2207.01883 (2022) - [i30]Ziyuan Zhao, Andong Zhu, Zeng Zeng, Bharadwaj Veeravalli, Cuntai Guan:
ACT-Net: Asymmetric Co-Teacher Network for Semi-supervised Memory-efficient Medical Image Segmentation. CoRR abs/2207.01900 (2022) - [i29]Amrest Chinkamol, Vetit Kanjaras, Phattarapong Sawangjai, Yitian Zhao, Thapanun Sudhawiyangkul, Chantana Chantrapornchai, Cuntai Guan, Theerawit Wilaiprasitporn:
OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality Augmentation. CoRR abs/2207.12238 (2022) - [i28]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. CoRR abs/2208.06616 (2022) - [i27]Jianbo Chen, Yangsong Zhang, Yudong Pan, Peng Xu, Cuntai Guan:
A Transformer-based deep neural network model for SSVEP classification. CoRR abs/2210.04172 (2022) - [i26]Ce Ju, Cuntai Guan:
Graph Neural Networks on SPD Manifolds for Motor Imagery Classification: A Perspective from the Time-Frequency Analysis. CoRR abs/2211.02641 (2022) - [i25]Mengjiao Hu, Xudong Jiang, Kang Sim, Juan Helen Zhou, Cuntai Guan:
Decomposing 3D Neuroimaging into 2+1D Processing for Schizophrenia Recognition. CoRR abs/2211.11557 (2022) - [i24]Ziyuan Zhao, Fangcheng Zhou, Kaixin Xu, Zeng Zeng, Cuntai Guan, S. Kevin Zhou:
LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation. CoRR abs/2212.02078 (2022) - 2021
- [j54]Olivier Lambercy, Rea Lehner, Karen Sui Geok Chua, Seng Kwee Wee, Deshan Kumar Rajeswaran, Christopher Wee Keong Kuah, Wei Tech Ang, Phyllis Liang, Domenico Campolo, Asif Hussain, Gabriel Aguirre-Ollinger, Cuntai Guan, Christoph M. Kanzler, Nicole Wenderoth, Roger Gassert:
Neurorehabilitation From a Distance: Can Intelligent Technology Support Decentralized Access to Quality Therapy? Frontiers Robotics AI 8: 612415 (2021) - [j53]Ke Liu, Zhu Liang Yu, Wei Wu, Xun Chen, Zhenghui Gu, Cuntai Guan:
fMRI-SI-STBF: An fMRI-informed Bayesian electromagnetic spatio-temporal extended source imaging. Neurocomputing 462: 14-30 (2021) - [j52]Bohan Yu, Yuxiang Wang, Kai Niu, Youwei Zeng, Tao Gu, Leye Wang, Cuntai Guan, Daqing Zhang:
WiFi-Sleep: Sleep Stage Monitoring Using Commodity Wi-Fi Devices. IEEE Internet Things J. 8(18): 13900-13913 (2021) - [j51]Kaishuo Zhang, Neethu Robinson, Seong-Whan Lee, Cuntai Guan:
Adaptive transfer learning for EEG motor imagery classification with deep Convolutional Neural Network. Neural Networks 136: 1-10 (2021) - [j50]Yangsong Zhang, Huan Cai, Li Nie, Peng Xu, Sirui Zhao, Cuntai Guan:
An end-to-end 3D convolutional neural network for decoding attentive mental state. Neural Networks 144: 129-137 (2021) - [j49]Jiarong Wang, Luzheng Bi, Weijie Fei, Cuntai Guan:
Decoding Single-Hand and Both-Hand Movement Directions From Noninvasive Neural Signals. IEEE Trans. Biomed. Eng. 68(6): 1932-1940 (2021) - [j48]Ziyuan Zhao, Zeng Zeng, Kaixin Xu, Cen Chen, Cuntai Guan:
DSAL: Deeply Supervised Active Learning From Strong and Weak Labelers for Biomedical Image Segmentation. IEEE J. Biomed. Health Informatics 25(10): 3744-3751 (2021) - [j47]Fatemeh Fahimi, Strahinja Dosen, Kai Keng Ang, Natalie Mrachacz-Kersting, Cuntai Guan:
Generative Adversarial Networks-Based Data Augmentation for Brain-Computer Interface. IEEE Trans. Neural Networks Learn. Syst. 32(9): 4039-4051 (2021) - [j46]Erico Tjoa, Cuntai Guan:
A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI. IEEE Trans. Neural Networks Learn. Syst. 32(11): 4793-4813 (2021) - [c175]Yi Ding, Nigel Wei Jun Ang, Aung Aung Phyo Wai, Cuntai Guan:
Learning Generalized Representations of EEG between Multiple Cognitive Attention Tasks. EMBC 2021: 306-310 - [c174]R. Vishnupriya, Neethu Robinson, Ramasubba Reddy M, Cuntai Guan:
Performance Evaluation of Compressed Deep CNN for Motor Imagery Classification using EEG. EMBC 2021: 795-799 - [c173]Shumeng Li, Ziyuan Zhao, Kaixin Xu, Zeng Zeng, Cuntai Guan:
Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation. EMBC 2021: 3395-3398 - [c172]Aung Aung Phyo Wai, Jee Ern Tchen, Cuntai Guan:
A Study of Visual Search based Calibration Protocol for EEG Attention Detection. EMBC 2021: 5792-5795 - [c171]Aarthy Nagarajan, Neethu Robinson, Cuntai Guan:
Investigation on Robustness of EEG-based Brain-Computer Interfaces. EMBC 2021: 6334-6340 - [c170]Su Zhang, Yi Ding, Ziquan Wei, Cuntai Guan:
Continuous Emotion Recognition with Audio-visual Leader-follower Attentive Fusion. ICCVW 2021: 3560-3567 - [c169]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan:
Time-Series Representation Learning via Temporal and Contextual Contrasting. IJCAI 2021: 2352-2359 - [c168]Ziyuan Zhao, Kaixin Xu, Shumeng Li, Zeng Zeng, Cuntai Guan:
MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels. MICCAI (1) 2021: 293-303 - [i23]Ziyuan Zhao, Zeng Zeng, Kaixin Xu, Cen Chen, Cuntai Guan:
DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation. CoRR abs/2101.09057 (2021) - [i22]Phairot Autthasan, Rattanaphon Chaisaen, Thapanun Sudhawiyangkul, Phurin Rangpong, Suktipol Kiatthaveephong, Nat Dilokthanakul, Gun Bhakdisongkhram, Huy Phan, Cuntai Guan, Theerawit Wilaiprasitporn:
MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification. CoRR abs/2102.03814 (2021) - [i21]Erico Tjoa, Cuntai Guan:
Convolutional Neural Network Interpretability with General Pattern Theory. CoRR abs/2102.04247 (2021) - [i20]Supavit Kongwudhikunakorn, Suktipol Kiatthaveephong, Kamonwan Thanontip, Pitshaporn Leelaarporn, Maytus Piriyajitakonkij, Thananya Charoenpattarawut, Phairot Autthasan, Rattanaphon Chaisaen, Pathitta Dujada, Thapanun Sudhawiyangkul, Cuntai Guan, Vorapun Senanarong, Theerawit Wilaiprasitporn:
A Pilot Study on Visually-Stimulated Cognitive Tasks for EEG-Based Dementia Recognition Using Frequency and Time Features. CoRR abs/2103.03854 (2021) - [i19]Ravikiran Mane, Effie Chew, Karen Sui Geok Chua, Kai Keng Ang, Neethu Robinson, A. Prasad Vinod, Seong-Whan Lee, Cuntai Guan:
FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer Interface. CoRR abs/2104.01233 (2021) - [i18]Yi Ding, Neethu Robinson, Qiuhao Zeng, Cuntai Guan:
TSception: Capturing Temporal Dynamics and Spatial Asymmetry from EEG for Emotion Recognition. CoRR abs/2104.02935 (2021) - [i17]Yi Ding, Neethu Robinson, Qiuhao Zeng, Cuntai Guan:
LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer Interface. CoRR abs/2105.02786 (2021) - [i16]Shumeng Li, Ziyuan Zhao, Kaixin Xu, Zeng Zeng, Cuntai Guan:
Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation. CoRR abs/2105.10369 (2021) - [i15]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan:
Time-Series Representation Learning via Temporal and Contextual Contrasting. CoRR abs/2106.14112 (2021) - [i14]Su Zhang, Yi Ding, Ziquan Wei, Cuntai Guan:
Audio-visual Attentive Fusion for Continuous Emotion Recognition. CoRR abs/2107.01175 (2021) - [i13]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan:
Adversarial Domain Adaptation with Self-Training for EEG-based Sleep Stage Classification. CoRR abs/2107.04470 (2021) - [i12]Erico Tjoa, Cuntai Guan:
Two Instances of Interpretable Neural Network for Universal Approximations. CoRR abs/2112.15026 (2021) - [i11]Erico Tjoa, Cuntai Guan:
Self Reward Design with Fine-grained Interpretability. CoRR abs/2112.15034 (2021) - 2020
- [j45]Ritu Ranjan Shrivastwa, Vikramkumar Pudi, Duo Chen, Rosa Q. So, Anupam Chattopadhyay, Cuntai Guan:
A Brain-Computer Interface Framework Based on Compressive Sensing and Deep Learning. IEEE Consumer Electron. Mag. 9(3): 90-96 (2020) - [j44]Ruyi Foong, Ning Tang, Effie Chew, Karen Sui Geok Chua, Kai Keng Ang, Chai Quek, Cuntai Guan, Kok Soon Phua, Christopher Wee Keong Kuah, Deshmukh Arun Vishwanath, Lester Hon Lum Yam, Deshan Kumar Rajeswaran:
Assessment of the Efficacy of EEG-Based MI-BCI With Visual Feedback and EEG Correlates of Mental Fatigue for Upper-Limb Stroke Rehabilitation. IEEE Trans. Biomed. Eng. 67(3): 786-795 (2020) - [j43]Nicholas Cheng, Kok Soon Phua, Hwa Sen Lai, Pui Kit Tam, Ka Yin Tang, Cheng Kai Kei, Raye Chen-Hua Yeow, Kai Keng Ang, Cuntai Guan, Jeong Hoon Lim:
Brain-Computer Interface-Based Soft Robotic Glove Rehabilitation for Stroke. IEEE Trans. Biomed. Eng. 67(12): 3339-3351 (2020) - [j42]Su Zhang, Wanjing Zhao, Xuying Hao, Yang Yang, Cuntai Guan:
A Context-Aware Locality Measure for Inlier Pool Enrichment in Stepwise Image Registration. IEEE Trans. Image Process. 29: 4281-4295 (2020) - [j41]O-Yeon Kwon, Min-Ho Lee, Cuntai Guan, Seong-Whan Lee:
Subject-Independent Brain-Computer Interfaces Based on Deep Convolutional Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 31(10): 3839-3852 (2020) - [c167]Cuntai Guan, Choon Guan Lim, Daniel Fung, Juan Helen Zhou, Ranga Krishnan, Tih Shih Lee:
BCI Facilitates the Improvement of Cognitive Functions in Children and Elderly. BCI 2020: 1-2 - [c166]Davide Coppola, Hwee Kuan Lee, Cuntai Guan:
Interpreting mechanisms of prediction for skin cancer diagnosis using multi-task learning. CVPR Workshops 2020: 3162-3171 - [c165]Su Zhang, Cuntai Guan:
Emotion Recognition with Refined Labels for Deep Learning. EMBC 2020: 108-111 - [c164]Yuhao Lu, Juan Helen Zhou, Cuntai Guan:
Minimizing Hybrid Dice Loss for Highly Imbalanced 3D Neuroimage Segmentation. EMBC 2020: 1059-1062 - [c163]Wenshan Wu, Yuhao Lu, Ravikiran Mane, Cuntai Guan:
Deep Learning for Neuroimaging Segmentation with a Novel Data Augmentation Strategy. EMBC 2020: 1516-1519 - [c162]Mengjiao Hu, Kang Sim, Juan Helen Zhou, Xudong Jiang, Cuntai Guan:
Brain MRI-based 3D Convolutional Neural Networks for Classification of Schizophrenia and Controls. EMBC 2020: 1742-1745 - [c161]Ravikiran Mane, Neethu Robinson, A. Prasad Vinod, Seong-Whan Lee, Cuntai Guan:
A Multi-view CNN with Novel Variance Layer for Motor Imagery Brain Computer Interface. EMBC 2020: 2950-2953 - [c160]Aung Aung Phyo Wai, Maokang Dou, Cuntai Guan:
Generalizability of EEG-based Mental Attention Modeling with Multiple Cognitive Tasks. EMBC 2020: 2959-2962 - [c159]Aung Aung Phyo Wai, Jun Cong Lee, Tao Yang, Rosa Q. So, Cuntai Guan:
Effects of Stimulus Spatial Resolution on SSVEP Responses under Overt and Covert Attention. EMBC 2020: 3019-3022 - [c158]Ce Ju, Dashan Gao, Ravikiran Mane, Ben Tan, Yang Liu, Cuntai Guan:
Federated Transfer Learning for EEG Signal Classification. EMBC 2020: 3040-3045 - [c157]Yi Ding, Neethu Robinson, Qiuhao Zeng, Duo Chen, Aung Aung Phyo Wai, Tih Shih Lee, Cuntai Guan:
TSception: A Deep Learning Framework for Emotion Detection Using EEG. IJCNN 2020: 1-7 - [c156]Aung Aung Phyo Wai, Heng Guo, Ying Chi, Lei Zhang, Xian-Sheng Hua, Cuntai Guan:
Optimizing Filter-bank Canonical Correlation Analysis for fast response SSVEP Brain-Computer Interface (BCI). IJCNN 2020: 1-8 - [c155]Hong Jing Khok, Victor Teck Chang Koh, Cuntai Guan:
Deep Multi-Task Learning for SSVEP Detection and Visual Response Mapping. SMC 2020: 1280-1285 - [i10]Aung Aung Phyo Wai, Yangsong Zhang, Heng Guo, Ying Chi, Lei Zhang, Xian-Sheng Hua, Seong-Whan Lee, Cuntai Guan:
Towards a Fast Steady-State Visual Evoked Potentials (SSVEP) Brain-Computer Interface (BCI). CoRR abs/2002.01171 (2020) - [i9]Mengjiao Hu, Kang Sim, Juan Helen Zhou, Xudong Jiang, Cuntai Guan:
Brain MRI-based 3D Convolutional Neural Networks for Classification of Schizophrenia and Controls. CoRR abs/2003.08818 (2020) - [i8]Yi Ding, Neethu Robinson, Qiuhao Zeng, Duo Chen, Aung Aung Phyo Wai, Tih Shih Lee, Cuntai Guan:
TSception: A Deep Learning Framework for Emotion Detection Using EEG. CoRR abs/2004.02965 (2020) - [i7]Ce Ju, Dashan Gao, Ravikiran Mane, Ben Tan, Yang Liu, Cuntai Guan:
Federated Transfer Learning for EEG Signal Classification. CoRR abs/2004.12321 (2020) - [i6]Erico Tjoa, Cuntai Guan:
Generalization on the Enhancement of Layerwise Relevance Interpretability of Deep Neural Network. CoRR abs/2009.02516 (2020) - [i5]Erico Tjoa, Cuntai Guan:
Quantifying Explainability of Saliency Methods in Deep Neural Networks. CoRR abs/2009.02899 (2020)
2010 – 2019
- 2019
- [j40]Luzheng Bi, Feleke Aberham Genetu, Cuntai Guan:
A review on EMG-based motor intention prediction of continuous human upper limb motion for human-robot collaboration. Biomed. Signal Process. Control. 51: 113-127 (2019) - [c154]Fatemeh Fahimi, Zhuo Zhang, Wooi Boon Goh, Kai Keng Ang, Cuntai Guan:
Towards EEG Generation Using GANs for BCI Applications. BHI 2019: 1-4 - [c153]Bo Li, Banghua Yang, Cuntai Guan, Chenxiao Hu:
Three-class Motor Imagery Classification Based on FBCSP Combined with Voting Mechanism. CIVEMSA 2019: 1-4 - [c152]Banghua Yang, Minmin Zheng, Cuntai Guan, Li Bo:
Motor imagery signal classification based on transfer learning. CIVEMSA 2019: 1-5 - [c151]Banghua Yang, Chengcheng Fan, Cuntai Guan, Xuelin Gu, Minmin Zheng:
A Framework on Optimization Strategy for EEG Motor Imagery Recognition. EMBC 2019: 774-777 - [c150]Zhuo Zhang, Haihong Zhang, Lu Zhang, Cuntai Guan:
Exploring Cortex Connectivity Signal in Sensory Response to Odors. EMBC 2019: 1255-1258 - [c149]Duo Chen, Rosa Q. So, Yi Ding, Cuntai Guan:
Intracortical Activity decoding of motor imagery based on Deep Convolutional Neural Network: a Pilot Study. GBCIC 2019 - [c148]Aung Aung Phyo Wai, Min-Ho Lee, Seong-Whan Lee, Cuntai Guan:
Improving the Performance of SSVEP BCI with Short Response Time by Temporal Alignments Enhanced CCA. NER 2019: 155-158 - [c147]Duo Chen, Rosa Q. So, Yi Ding, Cuntai Guan:
Motor-Controlled Spindle (MCS) Detection for Primate in BCI System. NER 2019: 433-436 - [c146]Neethu Robinson, Seong-Whan Lee, Cuntai Guan:
EEG Representation in Deep Convolutional Neural Networks for Classification of Motor Imagery. SMC 2019: 1322-1326 - [c145]Pinar Bilgin, Kat Agres, Neethu Robinson, Aung Aung Phyo Wai, Cuntai Guan:
A Comparative Study of Mental States in 2D and 3D Virtual Environments Using EEG. SMC 2019: 2833-2838 - [i4]Bijun Tang, Yuhao Lu, Jiadong Zhou, Han Wang, Prafful Golani, Manzhang Xu, Quan Xu, Cuntai Guan, Zheng Liu:
Machine learning-guided synthesis of advanced inorganic materials. CoRR abs/1905.03938 (2019) - [i3]Erico Tjoa, Cuntai Guan:
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI. CoRR abs/1907.07374 (2019) - [i2]Manzhang Xu, Bijun Tang, Chao Zhu, Yuhao Lu, Chao Zhu, Lu Zheng, Jingyu Zhang, Nannan Han, Yuxi Guo, Jun Di, Pin Song, Yongmin He, Lixing Kang, Zhiyong Zhang, Wu Zhao, Cuntai Guan, Xuewen Wang, Zheng Liu:
Machine learning driven synthesis of few-layered WTe2. CoRR abs/1910.04603 (2019) - [i1]Erico Tjoa, Heng Guo, Yuhao Lu, Cuntai Guan:
Enhancing the Extraction of Interpretable Information for Ischemic Stroke Imaging from Deep Neural Networks. CoRR abs/1911.08136 (2019) - 2018
- [j39]Tim Schäck, Michael Muma, Mengling Feng, Cuntai Guan, Abdelhak M. Zoubir:
Robust Nonlinear Causality Analysis of Nonstationary Multivariate Physiological Time Series. IEEE Trans. Biomed. Eng. 65(6): 1213-1225 (2018) - [j38]Siavash Sakhavi, Cuntai Guan, Shuicheng Yan:
Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5619-5629 (2018) - [c144]Jingwei Zhang, Luzheng Bi, Jinling Lian, Cuntai Guan:
A Single-Trial Event-Related Potential Estimation Based on Independent Component Analysis and Kalman Smoother. AIM 2018: 7-12 - [c143]Banghua Yang, Jinlong Wang, Cuntai Guan, Chenxiao Hu, Jianguo Wang:
A Study of the Role of Attention in Classifying Covert and Overt Motor Activities. BICS 2018: 151-160 - [c142]Banghua Yang, Jianzhen Tang, Cuntai Guan, Bo Li:
Motor Imagery EEG Recognition Based on FBCSP and PCA. BICS 2018: 195-205 - [c141]Zhuo Zhang, Chuanchu Wang, Kai Keng Ang, Aung Aung Phyo Wai, Cuntai Guan:
Spectrum and Phase Adaptive CCA for SSVEP-based Brain Computer Interface. EMBC 2018: 311-314 - [c140]Mengjiao Hu, Fang Ji, Zhongkang Lu, Weimin Huang, Reza Khosrowabadi, Ling Zhao, Kai Keng Ang, Kok Soon Phua, Fatima Ali Nasrallah, Kai-Hsiang Chuang, Mary C. Stephenson, John J. Totman, Xudong Jiang, Effie Chew, Cuntai Guan, Juan Helen Zhou:
Differential Amplitude of Low-Frequency Fluctuations in brain networks after BCI Training with and without tDCS in Stroke. EMBC 2018: 1050-1053 - [c139]Ravikiran Mane, Effie Chew, Kok Soon Phua, Kai Keng Ang, A. Prasad Vinod, Cuntai Guan:
Quantitative EEG as Biomarkers for the Monitoring of Post-Stroke Motor Recovery in BCI and tDCS Rehabilitation. EMBC 2018: 3610-3613 - [c138]