Wanzeng Kong

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 108

Top Venues

ICASSP

Sensors

CoRR

Biomed. Signal Process. Control.

Publications

Chengxi Zhu, Yong Peng, Yinfeng Fang, Wanzeng Kong
Label Rectified and Graph Adaptive Semi-Supervised Regression for Electrode Shifted Gesture Recognition. ICASSP (2024)
Xuanyu Jin, Ni Li, Wanzeng Kong, Qibin Zhao, Jiajia Tang, Li Zhu, Jianting Cao
Disentangled Adversarial Generalization Network for Cross-Session Task-Independent Brainprint Recognition. IEEE Trans. Cogn. Dev. Syst. 16 (4) (2024)
Jin Cui, Fumiyo Fukumoto, Xinfeng Wang, Yoshimi Suzuki, Jiyi Li, Noriko Tomuro, Wanzeng Kong
Enhanced Coherence-Aware Network with Hierarchical Disentanglement for Aspect-Category Sentiment Analysis. LREC/COLING (2024)
Yuhang Ming, Jian Ma, Xingrui Yang, Weichen Dai, Yong Peng, Wanzeng Kong
AEGIS-Net: Attention-Guided Multi-Level Feature Aggregation for Indoor Place Recognition. ICASSP (2024)
Xing Li, Yikai Zhang, Yong Peng, Wanzeng Kong
Enhanced performance of EEG-based brain-computer interfaces by joint sample and feature importance assessment. Health Inf. Sci. Syst. 12 (1) (2024)
Hangjie Yi, Yuhang Ming, Dongjun Liu, Wanzeng Kong
Time-Frequency Jointed Imperceptible Adversarial Attack to Brainprint Recognition with Deep Learning Models. CoRR (2024)
Jin Cui, Fumiyo Fukumoto, Xinfeng Wang, Yoshimi Suzuki, Jiyi Li, Noriko Tomuro, Wanzeng Kong
Enhanced Coherence-Aware Network with Hierarchical Disentanglement for Aspect-Category Sentiment Analysis. CoRR (2024)
Kun Yang, Ruochen Li, Jing Xu, Li Zhu, Wanzeng Kong, Jianhai Zhang
DSFE: Decoding EEG-Based Finger Motor Imagery Using Feature-Dependent Frequency, Feature Fusion and Ensemble Learning. IEEE J. Biomed. Health Informatics 28 (8) (2024)
Bing Yang, Xueqin Xiang, Wanzeng Kong, Jianhai Zhang, Yong Peng
DMF-GAN: Deep Multimodal Fusion Generative Adversarial Networks for Text-to-Image Synthesis. IEEE Trans. Multim. 26 (2024)
Keding Chen, Yong Peng, Feiping Nie, Wanzeng Kong
Soft Label Guided Unsupervised Discriminative Sparse Subspace Feature Selection. J. Classif. 41 (1) (2024)
Wenhui Zhou, Yuhan Wang, Liangyan Mo, Changsheng Li, Mingyue Xu, Wanzeng Kong, Guojun Dai
Temporal-channel cascaded transformer for imagined handwriting character recognition. Neurocomputing 573 (2024)
Yuhang Ming, Minyang Xu, Xingrui Yang, Weicai Ye, Weihan Wang, Yong Peng, Weichen Dai, Wanzeng Kong
VIPeR: Visual Incremental Place Recognition with Adaptive Mining and Lifelong Learning. CoRR (2024)
Bowen Pang, Yong Peng, Jian Gao, Wanzeng Kong
Semi-supervised bipartite graph construction with active EEG sample selection for emotion recognition. Medical Biol. Eng. Comput. 62 (9) (2024)
Wanzeng Kong, Shijie Guo, Yanfang Long, Yong Peng, Hong Zeng, Xinyu Zhang, Jianhai Zhang
Weighted extreme learning machine for P300 detection with application to brain computer interface. J. Ambient Intell. Humaniz. Comput. 14 (11) (2023)
Yong Peng, Keding Chen, Feiping Nie, Bao-Liang Lu, Wanzeng Kong
Two-Dimensional Embedded Fuzzy Data Clustering. IEEE Trans. Emerg. Top. Comput. Intell. 7 (4) (2023)
Jiajia Tang, Dongjun Liu, Xuanyu Jin, Yong Peng, Qibin Zhao, Yu Ding, Wanzeng Kong
BAFN: Bi-Direction Attention Based Fusion Network for Multimodal Sentiment Analysis. IEEE Trans. Circuits Syst. Video Technol. 33 (4) (2023)
Ting Wang, Jianpeng Tang, Chenghao Wang, Donghui Yang, Jingqi Li, Wanzeng Kong, Xugang Xi
Effect of music stimuli on corticomuscular coupling and the brain functional connectivity network. Biomed. Signal Process. Control. 79 (Part) (2023)
Wanzeng Kong, Min Qiu, Menghang Li, Xuanyu Jin, Li Zhu
Causal Graph Convolutional Neural Network for Emotion Recognition. IEEE Trans. Cogn. Dev. Syst. 15 (4) (2023)
Jing Li, Junhong Wang, Ting Wang, Wanzeng Kong, Xugang Xi
Quantification of body ownership awareness induced by the visual movement illusion of the lower limbs: a study of electroencephalogram and surface electromyography. Medical Biol. Eng. Comput. 61 (5) (2023)
Yue Zhao, Hong Zeng, Haohao Zheng, Jing Wu, Wanzeng Kong, Guojun Dai
A bidirectional interaction-based hybrid network architecture for EEG cognitive recognition. Comput. Methods Programs Biomed. 238 (2023)
Hong Zeng, Nianzhang Xia, Dongguan Qian, Motonobu Hattori, Chu Wang, Wanzeng Kong
DM-RE2I: A framework based on diffusion model for the reconstruction from EEG to image. Biomed. Signal Process. Control. 86 (Part A) (2023)
Yong Peng, Wenna Huang, Wanzeng Kong, Feiping Nie, Bao-Liang Lu
JGSED: An End-to-End Spectral Clustering Model for Joint Graph Construction, Spectral Embedding and Discretization. IEEE Trans. Emerg. Top. Comput. Intell. 7 (6) (2023)
Jiajia Tang, Ming Hou, Xuanyu Jin, Jianhai Zhang, Qibin Zhao, Wanzeng Kong
Tree-Based Mix-Order Polynomial Fusion Network for Multimodal Sentiment Analysis. Syst. 11 (1) (2023)
Dongjun Liu, Weichen Dai, Hangkui Zhang, Xuanyu Jin, Jianting Cao, Wanzeng Kong
Brain-Machine Coupled Learning Method for Facial Emotion Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45 (9) (2023)
Ming Meng, Yu Zhang, Yuliang Ma, Yunyuan Gao, Wanzeng Kong
EEG-based emotion recognition with cascaded convolutional recurrent neural networks. Pattern Anal. Appl. 26 (2) (2023)
Jin Cui, Fumiyo Fukumoto, Xinfeng Wang, Yoshimi Suzuki, Jiyi Li, Wanzeng Kong
Aspect-Category Enhanced Learning with a Neural Coherence Model for Implicit Sentiment Analysis. EMNLP (Findings) (2023)
Fengzhe Jin, Yong Peng, Feiwei Qin, Junhua Li, Wanzeng Kong
Graph adaptive semi-supervised discriminative subspace learning for EEG emotion recognition. J. King Saud Univ. Comput. Inf. Sci. 35 (8) (2023)
Yuhang Ming, Jian Ma, Xingrui Yang, Weichen Dai, Yong Peng, Wanzeng Kong
AEGIS-Net: Attention-guided Multi-Level Feature Aggregation for Indoor Place Recognition. CoRR (2023)
Yong Peng, Honggang Liu, Wanzeng Kong, Feiping Nie, Bao-Liang Lu, Andrzej Cichocki
Joint EEG Feature Transfer and Semisupervised Cross-Subject Emotion Recognition. IEEE Trans. Ind. Informatics 19 (7) (2023)
Menghang Li, Min Qiu, Wanzeng Kong, Li Zhu, Yu Ding
Fusion Graph Representation of EEG for Emotion Recognition. Sensors 23 (3) (2023)
Jiajia Tang, Kang Li, Ming Hou, Xuanyu Jin, Wanzeng Kong, Yu Ding, Qibin Zhao
MMT: Multi-way Multi-modal Transformer for Multimodal Learning. IJCAI (2022)
Yikai Zhang, Ruiqi Guo, Yong Peng, Wanzeng Kong, Feiping Nie, Bao-Liang Lu
An Auto-Weighting Incremental Random Vector Functional Link Network for EEG-Based Driving Fatigue Detection. IEEE Trans. Instrum. Meas. 71 (2022)
Ming Meng, Jiahao Hu, Yunyuan Gao, Wanzeng Kong, Zhizeng Luo
A deep subdomain associate adaptation network for cross-session and cross-subject EEG emotion recognition. Biomed. Signal Process. Control. 78 (2022)
Ruiqi Guo, Yong Peng, Wanzeng Kong, Fan Li
A semi-supervised label distribution learning model with label correlations and data manifold exploration. J. King Saud Univ. Comput. Inf. Sci. 34 (Issue 10, Part B) (2022)
Jinchao Zheng, Rubin Wang, Wanzeng Kong, Jianhai Zhang
A new patterns of self-organization activity of brain: Neural energy coding. Inf. Sci. 608 (2022)
Xuying Xu, Zhenyu Zhu, Yihong Wang, Rubin Wang, Wanzeng Kong, Jianhai Zhang
Odor pattern recognition of a novel bio-inspired olfactory neural network based on kernel clustering. Commun. Nonlinear Sci. Numer. Simul. 109 (2022)
Jin Cui, Xuanyu Jin, Hua Hu, Li Zhu, Kenji Ozawa, Gang Pan, Wanzeng Kong
Dynamic Distribution Alignment With Dual-Subspace Mapping for Cross-Subject Driver Mental State Detection. IEEE Trans. Cogn. Dev. Syst. 14 (4) (2022)
Bing Yang, Xueqin Xiang, Wanzeng Kong, Yong Peng, Jinliang Yao
Adaptive multi-task learning using lagrange multiplier for automatic art analysis. Multim. Tools Appl. 81 (3) (2022)
Yong Peng, Feiwei Qin, Wanzeng Kong, Yuan Ge, Feiping Nie, Andrzej Cichocki
GFIL: A Unified Framework for the Importance Analysis of Features, Frequency Bands, and Channels in EEG-Based Emotion Recognition. IEEE Trans. Cogn. Dev. Syst. 14 (3) (2022)
Hong Zeng, Qi Wu, Yanping Jin, Haohao Zheng, Mingming Li, Yue Zhao, Hua Hu, Wanzeng Kong
Siam-GCAN: A Siamese Graph Convolutional Attention Network for EEG Emotion Recognition. IEEE Trans. Instrum. Meas. 71 (2022)
Yong Peng, Yikai Zhang, Wanzeng Kong, Feiping Nie, Bao-Liang Lu, Andrzej Cichocki
LRR: A Unified Model for Joint Discriminative Subspace Identification and Semisupervised EEG Emotion Recognition. IEEE Trans. Instrum. Meas. 71 (2022)
Bin Ren, Kun Yang, Li Zhu, Lang Hu, Tao Qiu, Wanzeng Kong, Jianhai Zhang
Multi-Granularity Analysis of Brain Networks Assembled With Intra-Frequency and Cross-Frequency Phase Coupling for Human EEG After Stroke. Frontiers Comput. Neurosci. 16 (2022)
Jiwei Guo, Jiajia Tang, Weichen Dai, Yu Ding, Wanzeng Kong
Dynamically Adjust Word Representations Using Unaligned Multimodal Information. ACM Multimedia (2022)
Xing Li, Fangyao Shen, Yong Peng, Wanzeng Kong, Bao-Liang Lu
Efficient Sample and Feature Importance Mining in Semi-Supervised EEG Emotion Recognition. IEEE Trans. Circuits Syst. II Express Briefs 69 (7) (2022)
Feng Qiu, Wanzeng Kong, Yu Ding
InterMulti: Multi-view Multimodal Interactions with Text-dominated Hierarchical High-order Fusion for Emotion Analysis. CoRR (2022)
Feng Qiu, Chengyang Xie, Yu Ding, Wanzeng Kong
EffMulti: Efficiently Modeling Complex Multimodal Interactions for Emotion Analysis. CoRR (2022)
Xugang Xi, Jinsuo Ding, Junhong Wang, Yun-Bo Zhao, Ting Wang, Wanzeng Kong, Jingqi Li
Analysis of Functional Corticomuscular Coupling Based on Multiscale Transfer Spectral Entropy. IEEE J. Biomed. Health Informatics 26 (10) (2022)
Qiquan Cui, Xuanyu Jin, Weichen Dai, Wanzeng Kong
Multi-source Domain Adaptation Based on Data Selector with Soft Actor-Critic. HBAI@IJCAI (2022)
Yong Peng, Wenjuan Wang, Wanzeng Kong, Feiping Nie, Bao-Liang Lu, Andrzej Cichocki
Joint Feature Adaptation and Graph Adaptive Label Propagation for Cross-Subject Emotion Recognition From EEG Signals. IEEE Trans. Affect. Comput. 13 (4) (2022)
Fangyao Shen, Yong Peng, Guojun Dai, Bao-Liang Lu, Wanzeng Kong
Coupled Projection Transfer Metric Learning for Cross-Session Emotion Recognition from EEG. Syst. 10 (2) (2022)
Hui Huang, Jianhai Zhang, Li Zhu, Jiajia Tang, Guang Lin, Wanzeng Kong, Xu Lei, Lei Zhu
EEG-Based Sleep Staging Analysis with Functional Connectivity. Sensors 21 (6) (2021)
Qizhong Zhang, Bin Guo, Wanzeng Kong, Xugang Xi, Yizhi Zhou, Farong Gao
Tensor-based dynamic brain functional network for motor imagery classification. Biomed. Signal Process. Control. 69 (2021)
Yuxuan Zhu, Kenji Ozawa, Wanzeng Kong
EEGNetT: EEG-based neural network for emotion recognition in real-world applications. LifeTech (2021)
Qizhong Zhang, Ji Ding, Wanzeng Kong, Yang Liu, Qian Wang, Tiejia Jiang
Epilepsy prediction through optimized multidimensional sample entropy and Bi-LSTM. Biomed. Signal Process. Control. 64 (2021)
Jiajia Tang, Kang Li, Xuanyu Jin, Andrzej Cichocki, Qibin Zhao, Wanzeng Kong
CTFN: Hierarchical Learning for Multimodal Sentiment Analysis Using Coupled-Translation Fusion Network. ACL/IJCNLP (1) (2021)
Wenna Huang, Yong Peng, Yuan Ge, Wanzeng Kong
A new Kmeans clustering model and its generalization achieved by joint spectral embedding and rotation. PeerJ Comput. Sci. 7 (2021)
Fangyao Shen, Yong Peng, Wanzeng Kong, Guojun Dai
Multi-Scale Frequency Bands Ensemble Learning for EEG-Based Emotion Recognition. Sensors 21 (4) (2021)
Yukai Zhou, Qingshan She, Yuliang Ma, Wanzeng Kong, Yingchun Zhang
Transfer of semi-supervised broad learning system in electroencephalography signal classification. Neural Comput. Appl. 33 (16) (2021)
Yong Peng, Wanzeng Kong, Feiwei Qin, Feiping Nie, Jinglong Fang, Bao-Liang Lu, Andrzej Cichocki
Self-Weighted Semi-Supervised Classification for Joint EEG-Based Emotion Recognition and Affective Activation Patterns Mining. IEEE Trans. Instrum. Meas. 70 (2021)
Hong Zeng, Xiufeng Li, Gianluca Borghini, Yue Zhao, Pietro Aricò, Gianluca Di Flumeri, Nicolina Sciaraffa, Wael Zakaria, Wanzeng Kong, Fabio Babiloni
An EEG-Based Transfer Learning Method for Cross-Subject Fatigue Mental State Prediction. Sensors 21 (7) (2021)
Wanzeng Kong, Xulin Song, Junfeng Sun
Emotion recognition based on sparse representation of phase synchronization features. Multim. Tools Appl. 80 (14) (2021)
Yuxuan Zhu, Yong Peng, Yang Song, Kenji Ozawa, Wanzeng Kong
RAMST-CNN: A Residual and Multiscale Spatio-Temporal Convolution Neural Network for Personal Identification with EEG. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (2) (2021)
Yikai Zhang, Yong Peng, Hongyu Bian, Yuan Ge, Feiwei Qin, Wanzeng Kong
Auto-weighted concept factorization for joint feature map and data representation learning. J. Intell. Fuzzy Syst. 41 (1) (2021)
Yong Peng, Xin Zhu, Feiping Nie, Wanzeng Kong, Yuan Ge
Fuzzy graph clustering. Inf. Sci. 571 (2021)
Xianxiong Zhang, Qingshan She, Yun Chen, Wanzeng Kong, Congli Mei
Sub-band target alignment common spatial pattern in brain-computer interface. Comput. Methods Programs Biomed. 207 (2021)
Hong Zeng, Jia-ming Zhang, Wael Zakaria, Fabio Babiloni, Gianluca Borghini, Xiufeng Li, Wanzeng Kong
InstanceEasyTL: An Improved Transfer-Learning Method for EEG-Based Cross-Subject Fatigue Detection. Sensors 20 (24) (2020)
Yong Peng, Leijie Zhang, Wanzeng Kong, Feiwei Qin, Jianhai Zhang
Joint low-rank representation and spectral regression for robust subspace learning. Knowl. Based Syst. 195 (2020)
Yong Peng, Qingxi Li, Wanzeng Kong, Feiwei Qin, Jianhai Zhang, Andrzej Cichocki
A joint optimization framework to semi-supervised RVFL and ELM networks for efficient data classification. Appl. Soft Comput. 97 (Part) (2020)
Hong-xiang Hu, Qian Zhou, Guanghui Wen, Wenwu Yu, Wanzeng Kong
Robust Distributed Stabilization of Heterogeneous Agents Over Cooperation-Competition Networks. IEEE Trans. Circuits Syst. II Express Briefs (8) (2020)
Yuxi Liu, Jianhai Zhang, Bohui Zhang, Wanzeng Kong
Ballistocardiogram Artifact Removal for Concurrent EEG-fMRI Recordings Using Blind Source Separation Based on Dictionary Learning. Intelligent Information Processing (2020)
Yong Peng, Qingxi Li, Wanzeng Kong, Jianhai Zhang, Bao-Liang Lu, Andrzej Cichocki
Joint Semi-Supervised Feature Auto-Weighting and Classification Model for EEG-Based Cross-Subject Sleep Quality Evaluation. ICASSP (2020)
Yong Peng, Leijie Zhang, Wanzeng Kong, Feiwei Qin, Jianhai Zhang
Low rank spectral regression via matrix factorization for efficient subspace learning. J. Intell. Fuzzy Syst. 39 (3) (2020)
Yong Peng, Rixin Tang, Wanzeng Kong, Feiping Nie
A Factorized Extreme Learning Machine and Its Applications in EEG-Based Emotion Recognition. ICONIP (5) (2020)
Jin Cui, Yong Peng, Kenji Ozawa, Wanzeng Kong
A Review of Transfer Learning for EEG-Based Driving Fatigue Detection. HBAI@IJCAI (2020)
Wenfen Ling, Feipeng Xu, Qiaonan Fan, Yong Peng, Wanzeng Kong
Coarse-to-Fine Classification with Phase Synchronization and Common Spatial Pattern for Motor Imagery-Based BCI. Intelligent Information Processing (2020)
Wenfen Ling, Wanzeng Kong, Yanfang Long, Can Yang, Xuanyu Jin
Facial Emotion Recognition Based on Brain and Machine Collaborative Intelligence. CIVEMSA (2019)
Yong Peng, Yanfang Long, Feiwei Qin, Wanzeng Kong, Feiping Nie, Andrzej Cichocki
Flexible Non-negative Matrix Factorization with Adaptively Learned Graph Regularization. ICASSP (2019)
Wanzeng Kong, Luyun Wang, Sijia Xu, Fabio Babiloni, Hang Chen
EEG Fingerprints: Phase Synchronization of EEG Signals as Biomarker for Subject Identification. IEEE Access 7 (2019)
Ming Hou, Jiajia Tang, Jianhai Zhang, Wanzeng Kong, Qibin Zhao
Deep Multimodal Multilinear Fusion with High-order Polynomial Pooling. NeurIPS (2019)
Yong Peng, Rixin Tang, Wanzeng Kong, Jianhai Zhang, Feiping Nie, Andrzej Cichocki
Joint Structured Graph Learning and Clustering Based on Concept Factorization. ICASSP (2019)
Yong Peng, Leijie Zhang, Wanzeng Kong, Feiping Nie, Andrzej Cichocki
Joint Structured Graph Learning and Unsupervised Feature Selection. ICASSP (2019)
Jianhai Zhang, Chongwei Su, Dariusz Zapala, Li Zhu, Gaochao Cui, Wanzeng Kong
A CNN-based Approach for three-class classification of motor imagery EEG data including 'rest state' in hybrid multi-user BCI. BIBM (2019)
Zhi Li, Jianhui Zhang, Jiayu Gan, Pengqian Lu, Zhigang Gao, Wanzeng Kong
Large-scale trip planning for bike-sharing systems. Pervasive Mob. Comput. 54 (2019)
Wanzeng Kong, Xianghao Kong, Qiaonan Fan, Qibin Zhao, Andrzej Cichocki
Task-free brainprint recognition based on low-rank and sparse decomposition model. Int. J. Data Min. Bioinform. 22 (3) (2019)
Jianhai Zhang, Hongyan Xu, Li Zhu, Wanzeng Kong, Zheng Ma
Gender recognition in emotion perception using EEG features. BIBM (2019)
Li Zhu, Chongwei Su, Gaochao Cui, Changle Zhou, Jianhai Zhang, Wanzeng Kong
Idle-State Detection in Multi-user Motor Imagery Brain Computer Interface with Cross-Brain CSP and Hyper-Brain-Network. CW (2019)
Hong Zeng, Chen Yang, Hua Zhang, Zhenhua Wu, Jiaming Zhang, Guojun Dai, Fabio Babiloni, Wanzeng Kong
A LightGBM-Based EEG Analysis Method for Driver Mental States Classification. Comput. Intell. Neurosci. 2019 (2019)
Yanfang Long, Wanzeng Kong, Xuanyu Jin, Jili Shang, Can Yang
Visualizing Emotional States: A Method Based on Human Brain Activity. HBAI@IJCAI (2019)
Yong Peng, Wanzeng Kong, Feiwei Qin, Feiping Nie
Corrigendum to "Manifold Adaptive Kernelized Low-Rank Representation for Semisupervised Image Classification". Complex. 2018 (2018)
Xuyang Zhao, Qibin Zhao, Toshihisa Tanaka, Jianting Cao, Wanzeng Kong, Hidenori Sugano, Noboru Yoshida
Detection of Epileptic Foci Based on Interictal iEEG by Using Convolutional Neural Network. DSL (2018)
Xuyang Zhao, Toshihisa Tanaka, Wanzeng Kong, Qibin Zhao, Jianting Cao, Hidenori Sugano, Noboru Yoshida
Epileptic Focus Localization Based on iEEG by Using Positive Unlabeled (PU) Learning. APSIPA (2018)
Yanfang Long, Wanzeng Kong, Wenfen Ling, Can Yang, Jieyong Zhu
Comparison of Facial Emotion Recognition Based on Image Visual Features and EEG Features. ICCSIP (2) (2018)
Wanzeng Kong, Bei Jiang, Qiaonan Fan, Li Zhu, Xuehui Wei
Personal Identification Based on Brain Networks of EEG Signals. Int. J. Appl. Math. Comput. Sci. 28 (4) (2018)
Jianhai Zhang, Jianting Cao, Na Zhang, Wanzeng Kong, Jiajia Tang, Yong Peng
A New Method for Brain Death Diagnosis Based on Phase Synchronization Analysis With EEG. BIBM (2018)
Jianhai Zhang, Shaokai Zhao, Guodong Yang, Jiajia Tang, Tao Zhang, Yong Peng, Wanzeng Kong
Emotional-state brain network analysis revealed by minimum spanning tree using EEG signals. BIBM (2018)
Yong Peng, Rixin Tang, Wanzeng Kong, Feiwei Qin, Feiping Nie
Parallel Vector Field Regularized Non-Negative Matrix Factorization for Image Representation. ICASSP (2018)
Yong Peng, Wanzeng Kong, Feiwei Qin, Feiping Nie
Manifold Adaptive Kernelized Low-Rank Representation for Semisupervised Image Classification. Complex. 2018 (2018)
Xianghao Kong, Wanzeng Kong, Qiaonan Fan, Qibin Zhao, Andrzej Cichocki
Task-Independent EEG Identification via Low-Rank Matrix Decomposition. BIBM (2018)
Leijie Zhang, Xin Zhu, Yong Peng, Wanzeng Kong
Unsupervised Extreme Learning Machine via Structured Graph Construction for Data Clustering. ISCID (2) (2018)
Wanzeng Kong, Luyun Wang, Jianhai Zhang, Qibin Zhao, Junfeng Sun
The Dynamic EEG Microstates in Mental Rotation. Sensors 18 (9) (2018)

Wanzeng Kong.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Wanzeng Kong