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Spectral-Spatial Attention Alignment for Multi-Source Domain Adaptation in EEG-Based Emotion Recognition Journal article
Yang, Yi, Wang, Ze, Tao, Wei, Liu, Xucheng, Jia, Ziyu, Wang, Boyu, Wan, Feng. Spectral-Spatial Attention Alignment for Multi-Source Domain Adaptation in EEG-Based Emotion Recognition[J]. IEEE Transactions on Affective Computing, 2024.
Authors:  Yang, Yi;  Wang, Ze;  Tao, Wei;  Liu, Xucheng;  Jia, Ziyu; et al.
Favorite | TC[Scopus]:3  IF:9.6/11.0 | Submit date：2024/05/16
Brain-computer Interface  Eeg-based Emotion Recognition  Domain Adaptation  
Multiview Contrastive Learning for Unsupervised Domain Adaptation in Brain-Computer Interfaces Journal article
Asgarian, Sepehr, Wang, Ze, Wan, Feng, Wong, Chi Man, Liu, Feng, Mohsenzadeh, Yalda, Wang, Boyu, Ling, Charles X.. Multiview Contrastive Learning for Unsupervised Domain Adaptation in Brain-Computer Interfaces[J]. IEEE Transactions on Instrumentation and Measurement, 2024, 73, 2509410.
Authors:  Asgarian, Sepehr;  Wang, Ze;  Wan, Feng;  Wong, Chi Man;  Liu, Feng; et al.
Favorite | TC[WOS]:1 TC[Scopus]:2  IF:5.6/5.6 | Submit date：2024/05/16
Electroencephalography  Feature Extraction  Brain Modeling  Electronic Mail  Transfer Learning  Convolutional Neural Networks  Computer Science  Electroencephalography (Eeg)  Multiview Contrastive  Neural Network  Riemannian Neural Network  Transfer Learning  Unsupervised Domain Adaptation (Uda)  
Precision-SELEX aptamer screening for the colorimetric and fluorescent dual-readout aptasensing of AFB1 in food Journal article
Li, Ying, Jia, Boyu, Song, Pengyue, Long, Nan, Shi, Linchun, Li, Peng, Wang, Jiabo, Zhou, Lidong, Kong, Weijun. Precision-SELEX aptamer screening for the colorimetric and fluorescent dual-readout aptasensing of AFB1 in food[J]. Food Chemistry, 2024, 436, 137661.
Authors:  Li, Ying;  Jia, Boyu;  Song, Pengyue;  Long, Nan;  Shi, Linchun; et al.
Favorite | TC[WOS]:9 TC[Scopus]:9  IF:8.5/8.2 | Submit date：2023/10/31
Starch-rich Food  Aflatoxin B1  Aptamer  Precision-selex  Dual-readout Aptasensor  
Lifelong Online Learning from Accumulated Knowledge Journal article
Shui,Changjian, Wang,William, Hedhli,Ihsen, Wong,Chi Man, Wan,Feng, Wang,Boyu, Gagné,Christian. Lifelong Online Learning from Accumulated Knowledge[J]. ACM Transactions on Knowledge Discovery from Data, 2023, 17(4), 1–23.
Authors:  Shui,Changjian;  Wang,William;  Hedhli,Ihsen;  Wong,Chi Man;  Wan,Feng; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:4.0/3.9 | Submit date：2023/08/03
Lifelong Learning Theory  Multi-task Learning  Online Learning  Transfer Learning  
Enhancing Detection of Multi-Frequency-Modulated SSVEP Using Phase Difference Constrained Canonical Correlation Analysis Journal article
Wong,Chi Man, Wang,Ze, Wang,Boyu, Rosa,Agostinho, Jung,Tzyy Ping, Wan,Feng. Enhancing Detection of Multi-Frequency-Modulated SSVEP Using Phase Difference Constrained Canonical Correlation Analysis[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023, 31, 1343-1352.
Authors:  Wong,Chi Man;  Wang,Ze;  Wang,Boyu;  Rosa,Agostinho;  Jung,Tzyy Ping; et al.
Favorite | TC[WOS]:3 TC[Scopus]:5  IF:4.8/5.4 | Submit date：2023/08/03
Brain-computer Interface  Multi-frequency-modulated Visual Stimulation  Phase Difference Constrained Canonical Correlation Analysis  Steady-state Visual Evoked Potential  
Compact Artificial Neural Network Based on Task Attention for Individual SSVEP Recognition with Less Calibration Journal article
Wang,Ze, Wong,Chi Man, Wang,Boyu, Feng,Zhao, Cong,Fengyu, Wan,Feng. Compact Artificial Neural Network Based on Task Attention for Individual SSVEP Recognition with Less Calibration[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023.
Authors:  Wang,Ze;  Wong,Chi Man;  Wang,Boyu;  Feng,Zhao;  Cong,Fengyu; et al.
Favorite | TC[WOS]:4 TC[Scopus]:4  IF:4.8/5.4 | Submit date：2023/08/03
Artificial Neural Network  Attention Layer  Brain Modeling  Brain-computer Interface  Calibration  Correlation  Electroencephalography  Steady-state Visual Evoked Potential  Target Recognition  Task Analysis  Visualization  
On the Benefits of Two Dimensional Metric Learning Journal article
Di Wu, Fan Zhou, Boyu Wang, Qicheng Lao, Chi Man Wong, Changjian Shui, Yuan Zhou, Feng Wan. On the Benefits of Two Dimensional Metric Learning[J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021, 35(2), 1909-1921.
Authors:  Di Wu;  Fan Zhou;  Boyu Wang;  Qicheng Lao;  Chi Man Wong; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:8.9/8.8 | Submit date：2022/05/13
Two Dimensional Learning  Metric Learning  Rademacher Complexity  Boosting  Low-rank Matrices  
Online Adaptation Boosts SSVEP-Based BCI Performance Journal article
Wong, Chi Man, Wang, Ze, Nakanishi, Masaki, Wang, Boyu, Rosa, Agostinho, Chen, Philip, Jung, Tzyy Ping, Wan, Feng. Online Adaptation Boosts SSVEP-Based BCI Performance[J]. IEEE Transactions on Biomedical Engineering, 2021, 69(6), 2018-2028.
Authors:  Wong, Chi Man;  Wang, Ze;  Nakanishi, Masaki;  Wang, Boyu;  Rosa, Agostinho; et al.
Favorite | TC[WOS]:27 TC[Scopus]:31  IF:4.4/4.8 | Submit date：2022/05/13
Spatial Filters  Visualization  Calibration  Frequency Modulation  Steady-state  Prototypes  Filter Banks  Brain-computer Interface  Calibration-free  Online Adaptation  Steady-state Visual Evoked Potential  Spatial Filter  
Spatial Filtering in SSVEP-Based BCIs: Unified Framework and New Improvements Journal article
Wong,Chi Man, Wang,Boyu, Wang,Ze, Lao,Ka Fai, Rosa,Agostinho, Wan,Feng. Spatial Filtering in SSVEP-Based BCIs: Unified Framework and New Improvements[J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2020, 67(11), 3057-3072.
Authors:  Wong,Chi Man;  Wang,Boyu;  Wang,Ze;  Lao,Ka Fai;  Rosa,Agostinho; et al.
Favorite | TC[WOS]:65 TC[Scopus]:87  IF:4.4/4.8 | Submit date：2021/03/11
Generalized Eigenvalue Problem  Spatial Filter  Ssvep-based Bci  Unified Framework  
Inter- A nd Intra-Subject Transfer Reduces Calibration Effort for High-Speed SSVEP-Based BCIs Journal article
Wong,Chi Man, Wang,Ze, Wang,Boyu, Lao,Ka Fai, Rosa,Agostinho, Xu,Peng, Jung,Tzyy Ping, Chen,C. L.Philip, Wan,Feng. Inter- A nd Intra-Subject Transfer Reduces Calibration Effort for High-Speed SSVEP-Based BCIs[J]. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2020, 28(10), 2123-2135.
Authors:  Wong,Chi Man;  Wang,Ze;  Wang,Boyu;  Lao,Ka Fai;  Rosa,Agostinho; et al.
Favorite | TC[WOS]:53 TC[Scopus]:59  IF:4.8/5.4 | Submit date：2021/03/11
Brain-computer Interface  Inter-subject  Intra-subject  Steady-state Visual Evoked Potential  Transfer Learning