Wei-Long Zheng

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 69

Top Topics

Emotion Recognition

Top Venues

Publications

Ziyi Li, Li-Ming Zhao, Wei-Long Zheng, Bao-Liang Lu
Temporal-Spatial Prediction: Pre-Training on Diverse Datasets for EEG Classification. ICASSP (2024)
Tian-Hua Li, Tian-Fang Ma, Dan Peng, Wei-Long Zheng, Bao-Liang Lu
Focused State Recognition Using EEG with Eye Movement-Assisted Annotation. CoRR (2024)
Yu-Ting Lan, Wei-Bang Jiang, Wei-Long Zheng, Bao-Liang Lu
CEMOAE: A Dynamic Autoencoder with Masked Channel Modeling for Robust EEG-Based Emotion Recognition. ICASSP (2024)
Wei-Bang Jiang, Ziyi Li, Wei-Long Zheng, Bao-Liang Lu
Functional Emotion Transformer for EEG-Assisted Cross-Modal Emotion Recognition. ICASSP (2024)
Hao Tang, Keya Hu, Jin Peng Zhou, Sicheng Zhong, Wei-Long Zheng, Xujie Si, Kevin Ellis
Code Repair with LLMs gives an Exploration-Exploitation Tradeoff. CoRR (2024)
Pengxuan Gao, Tianyu Liu, Jia-Wen Liu, Bao-Liang Lu, Wei-Long Zheng
Multimodal Multi-View Spectral-Spatial-Temporal Masked Autoencoder for Self-Supervised Emotion Recognition. ICASSP (2024)
Xuan-Hao Liu, Wei-Bang Jiang, Wei-Long Zheng, Bao-Liang Lu
Two-Stream Spectral-Temporal Denoising Network for End-to-End Robust EEG-Based Emotion Recognition. ICONIP (3) (2023)
Rong-Fei Gu, Li-Ming Zhao, Wei-Long Zheng, Bao-Liang Lu
Tagging Continuous Labels for EEG-based Emotion Classification. EMBC (2023)
Dan Peng, Wei Liu, Yun Luo, Ziyu Mao, Wei-Long Zheng, Bao-Liang Lu
Deep Depression Detection with Resting-State and Cognitive-Task EEG. EMBC (2023)
Jian-Ming Zhang, Jiawen Liu, Ziyi Li, Tian-Fang Ma, Yiting Wang, Wei-Long Zheng, Bao-Liang Lu
Naturalistic Emotion Recognition Using EEG and Eye Movements. ICONIP (3) (2023)
Wei-Bang Jiang, Xu Yan, Wei-Long Zheng, Bao-Liang Lu
Elastic Graph Transformer Networks for EEG-Based Emotion Recognition. ICASSP (2023)
Wei-Bang Jiang, Xuan-Hao Liu, Wei-Long Zheng, Bao-Liang Lu
Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels. ACM Multimedia (2023)
Zhong-Wei Jin, Jiawen Liu, Wei-Long Zheng, Bao-Liang Lu
DAformer: Transformer with Domain Adversarial Adaptation for EEG-Based Emotion Recognition with Live-Oil Paintings. ICONIP (9) (2023)
Yu-Ting Lan, Ze-Chen Li, Dan Peng, Wei-Long Zheng, Bao-Liang Lu
Identifying Artistic Expertise Difference in Emotion Recognition in Response to Oil Paintings. NER (2023)
Jing-Yi Liu, Jia-Wen Liu, Wei-Long Zheng, Bao-Liang Lu
Transformer-Based Domain Adaptation for Multi-Modal Emotion Recognition in Response to Game Animation Videos. BIBM (2023)
Yu-Ting Lan, Kan Ren, Yansen Wang, Wei-Long Zheng, Dongsheng Li, Bao-Liang Lu, Lili Qiu
Seeing through the Brain: Image Reconstruction of Visual Perception from Human Brain Signals. CoRR (2023)
Cheng Fei, Rui Li, Li-Ming Zhao, Wei-Long Zheng, Bao-Liang Lu
EEG-Eye Movements Cross-Modal Decision Confidence Measurement with Generative Adversarial Networks. NER (2023)
Luyu Liu, Dan Peng, Wei-Long Zheng, Bao-Liang Lu
Objective Depression Detection Using EEG and Eye Movement Signals Induced by Oil Paintings. EMBC (2023)
Yu-Ting Lan, Dan Peng, Wei Liu, Yun Luo, Ziyu Mao, Wei-Long Zheng, Bao-Liang Lu
Investigating Emotion EEG Patterns for Depression Detection with Attentive Simple Graph Convolutional Network. EMBC (2023)
Rong-Fei Gu, Rui Li, Wei-Long Zheng, Bao-Liang Lu
Cross-Subject Decision Confidence Estimation from EEG Signals Using Spectral-Spatial-Temporal Adaptive GCN with Domain Adaptation. IJCNN (2023)
Matthew A. Reyna, Edilberto Amorim, Reza Sameni, James Weigle, Andoni Elola, Ali Bahrami Rad, Salman Seyedi, Hyeokhyen Kwon, Wei-Long Zheng, Mohammad M. Ghassemi, Michel J. A. M. van Putten, Jeannette Hofmeijer, Nicolas Gaspard, Adithya Sivaraju, Susan T. Herman, Jong Woo Lee, M. Brandon Westover, Gari D. Clifford
Predicting Neurological Recovery from Coma After Cardiac Arrest: The George B. Moody PhysioNet Challenge 2023. CinC (2023)
Wei Liu, Jie-Lin Qiu, Wei-Long Zheng, Bao-Liang Lu
Comparing Recognition Performance and Robustness of Multimodal Deep Learning Models for Multimodal Emotion Recognition. IEEE Trans. Cogn. Dev. Syst. 14 (2) (2022)
Rui Li, Yiting Wang, Wei-Long Zheng, Bao-Liang Lu
A Multi-view Spectral-Spatial-Temporal Masked Autoencoder for Decoding Emotions with Self-supervised Learning. ACM Multimedia (2022)
Tian-Fang Ma, Wei-Long Zheng, Bao-Liang Lu
Few-Shot Class-Incremental Learning for EEG-Based Emotion Recognition. ICONIP (5) (2022)
Shuai Luo, Yu-Ting Lan, Dan Peng, Ziyi Li, Wei-Long Zheng, Bao-Liang Lu
Multimodal Emotion Recognition in Response to Oil Paintings. EMBC (2022)
Wei-Long Zheng, Edilberto Amorim, Jin Jing, Ona Wu, Mohammad Ghassemi, Jong Woo Lee, Adithya Sivaraju, Trudy Pang, Susan T. Herman, Nicolas Gaspard, Barry J. Ruijter, Marleen C. Tjepkema-Cloostermans, Jeannette Hofmeijer, Michel J. A. M. van Putten, M. Brandon Westover
Predicting Neurological Outcome From Electroencephalogram Dynamics in Comatose Patients After Cardiac Arrest With Deep Learning. IEEE Trans. Biomed. Eng. 69 (5) (2022)
Wei Wu, Wei Sun, Q. M. Jonathan Wu, Yimin Yang, Hui Zhang, Wei-Long Zheng, Bao-Liang Lu
Multimodal Vigilance Estimation Using Deep Learning. IEEE Trans. Cybern. 52 (5) (2022)
Wei Wu, Q. M. Jonathan Wu, Wei Sun, Yimin Yang, Xiaofang Yuan, Wei-Long Zheng, Bao-Liang Lu
A Regression Method With Subnetwork Neurons for Vigilance Estimation Using EOG and EEG. IEEE Trans. Cogn. Dev. Syst. 13 (1) (2021)
Xun Wu, Wei-Long Zheng, Bao-Liang Lu
Investigating EEG-Based Functional Connectivity Patterns for Multimodal Emotion Recognition. CoRR (2020)
Junwu Weng, Xudong Jiang, Wei-Long Zheng, Junsong Yuan
Early Action Recognition With Category Exclusion Using Policy-Based Reinforcement Learning. IEEE Trans. Circuits Syst. Video Technol. 30 (12) (2020)
Wei-Long Zheng, Haoqi Sun, Oluwaseun Akeju, M. Brandon Westover
Adaptive Sedation Monitoring From EEG in ICU Patients With Online Learning. IEEE Trans. Biomed. Eng. 67 (6) (2020)
Wei-Long Zheng, Kunpeng Gao, Gang Li, Wei Liu, Chao Liu, Jing-Quan Liu, Guoxing Wang, Bao-Liang Lu
Vigilance Estimation Using a Wearable EOG Device in Real Driving Environment. IEEE Trans. Intell. Transp. Syst. 21 (1) (2020)
Haoqi Sun, Eyal Kimchi, Oluwaseun Akeju, Sunil Belur Nagaraj, Lauren M. McClain, David W. Zhou, Emily Boyle, Wei-Long Zheng, Wendong Ge, M. Brandon Westover
Automated tracking of level of consciousness and delirium in critical illness using deep learning. npj Digit. Medicine 2 (2019)
Bo-Qun Ma, He Li, Wei-Long Zheng, Bao-Liang Lu
Reducing the Subject Variability of EEG Signals with Adversarial Domain Generalization. ICONIP (1) (2019)
Wei-Long Zheng, Wei Liu, Yifei Lu, Bao-Liang Lu, Andrzej Cichocki
EmotionMeter: A Multimodal Framework for Recognizing Human Emotions. IEEE Trans. Cybern. 49 (3) (2019)
Wei-Long Zheng, Jia-Yi Zhu, Bao-Liang Lu
Identifying Stable Patterns over Time for Emotion Recognition from EEG. IEEE Trans. Affect. Comput. 10 (3) (2019)
Li-Ming Zhao, Rui Li, Wei-Long Zheng, Bao-Liang Lu
Classification of Five Emotions from EEG and Eye Movement Signals: Complementary Representation Properties. NER (2019)
Jia-Xin Ma, Hao Tang, Wei-Long Zheng, Bao-Liang Lu
Emotion Recognition using Multimodal Residual LSTM Network. ACM Multimedia (2019)
Wei Liu, Jie-Lin Qiu, Wei-Long Zheng, Bao-Liang Lu
Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis. CoRR (2019)
Xun Wu, Wei-Long Zheng, Bao-Liang Lu
Identifying Functional Brain Connectivity Patterns for EEG-Based Emotion Recognition. NER (2019)
Lan-Qing Bao, Jie-Lin Qiu, Hao Tang, Wei-Long Zheng, Bao-Liang Lu
Investigating Sex Differences in Classification of Five Emotions from EEG and Eye Movement Signals. EMBC (2019)
Tian-Hao Li, Wei Liu, Wei-Long Zheng, Bao-Liang Lu
Classification of Five Emotions from EEG and Eye Movement Signals: Discrimination Ability and Stability over Time. NER (2019)
Changde Du, Changying Du, Hao Wang, Jinpeng Li, Wei-Long Zheng, Bao-Liang Lu, Huiguang He
Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data. ACM Multimedia (2018)
Changde Du, Changying Du, Hao Wang, Jinpeng Li, Wei-Long Zheng, Bao-Liang Lu, Huiguang He
Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data. CoRR (2018)
Li-Ming Zhao, Xin-Wei Li, Wei-Long Zheng, Bao-Liang Lu
Active Feedback Framework with Scan-Path Clustering for Deep Affective Models. ICONIP (2) (2018)
Yimin Yang, Q. M. Jonathan Wu, Wei-Long Zheng, Bao-Liang Lu
EEG-Based Emotion Recognition Using Hierarchical Network With Subnetwork Nodes. IEEE Trans. Cogn. Dev. Syst. 10 (2) (2018)
Jia-Jun Tong, Yun Luo, Bo-Qun Ma, Wei-Long Zheng, Bao-Liang Lu, Xiao-Qi Song, Shi-Wei Ma
Sleep Quality Estimation with Adversarial Domain Adaptation: From Laboratory to Real Scenario. IJCNN (2018)
Yun Luo, Si-Yang Zhang, Wei-Long Zheng, Bao-Liang Lu
WGAN Domain Adaptation for EEG-Based Emotion Recognition. ICONIP (5) (2018)
He Li, Wei-Long Zheng, Bao-Liang Lu
Multimodal Vigilance Estimation with Adversarial Domain Adaptation Networks. IJCNN (2018)
He Li, Yi-Ming Jin, Wei-Long Zheng, Bao-Liang Lu
Cross-Subject Emotion Recognition Using Deep Adaptation Networks. ICONIP (5) (2018)
Wei-Long Zheng, Shan-Chun Shen, Bao-Liang Lu
Online Depth Image-Based Object Tracking with Sparse Representation and Object Detection. Neural Process. Lett. 45 (3) (2017)
Si-Yuan Wu, Moritz Schaefer, Wei-Long Zheng, Bao-Liang Lu, Hiroshi Yokoi
Neural patterns between Chinese and Germans for EEG-based emotion recognition. NER (2017)
Xue Yan, Wei-Long Zheng, Wei Liu, Bao-Liang Lu
Identifying Gender Differences in Multimodal Emotion Recognition Using Bimodal Deep AutoEncoder. ICONIP (4) (2017)
Xue Yan, Wei-Long Zheng, Wei Liu, Bao-Liang Lu
Investigating Gender Differences of Brain Areas in Emotion Recognition Using LSTM Neural Network. ICONIP (4) (2017)
Hao Tang, Wei Liu, Wei-Long Zheng, Bao-Liang Lu
Multimodal Emotion Recognition Using Deep Neural Networks. ICONIP (4) (2017)
Wei-Ye Zhao, Sheng Fang, Ting Ji, Qian Ji, Wei-Long Zheng, Bao-Liang Lu
Emotion Annotation Using Hierarchical Aligned Cluster Analysis. ICONIP (4) (2017)
Changde Du, Changying Du, Jinpeng Li, Wei-Long Zheng, Bao-Liang Lu, Huiguang He
Semi-supervised Bayesian Deep Multi-modal Emotion Recognition. CoRR (2017)
Li-Huan Du, Wei Liu, Wei-Long Zheng, Bao-Liang Lu
Detecting driving fatigue with multimodal deep learning. NER (2017)
Xing-Zan Zhang, Wei-Long Zheng, Bao-Liang Lu
EEG-Based Sleep Quality Evaluation with Deep Transfer Learning. ICONIP (4) (2017)
Zhen-Feng Shi, Chang Zhou, Wei-Long Zheng, Bao-Liang Lu
Attention evaluation with eye tracking glasses for EEG-based emotion recognition. NER (2017)
Wei Liu, Wei-Long Zheng, Bao-Liang Lu
Multimodal Emotion Recognition Using Multimodal Deep Learning. CoRR (2016)
Wei-Long Zheng, Jia-Yi Zhu, Bao-Liang Lu
Identifying Stable Patterns over Time for Emotion Recognition from EEG. CoRR (2016)
Nan Zhang, Wei-Long Zheng, Wei Liu, Bao-Liang Lu
Continuous Vigilance Estimation Using LSTM Neural Networks. ICONIP (2) (2016)
Wei-Long Zheng, Bao-Liang Lu
Personalizing EEG-Based Affective Models with Transfer Learning. IJCAI (2016)
Li-Li Wang, Wei-Long Zheng, Hai-Wei Ma, Bao-Liang Lu
Measuring sleep quality from EEG with machine learning approaches. IJCNN (2016)
Xue-Qin Huo, Wei-Long Zheng, Bao-Liang Lu
Driving fatigue detection with fusion of EEG and forehead EOG. IJCNN (2016)
Wei-Long Zheng, Bao-Liang Lu
A Multimodal Approach to Estimating Vigilance Using EEG and Forehead EOG. CoRR (2016)
Yong Peng, Wei-Long Zheng, Bao-Liang Lu
An unsupervised discriminative extreme learning machine and its applications to data clustering. Neurocomputing 174 (2016)
Wei Liu, Wei-Long Zheng, Bao-Liang Lu
Emotion Recognition Using Multimodal Deep Learning. ICONIP (2) (2016)
Wei-Long Zheng, Hao-Tian Guo, Bao-Liang Lu
Revealing critical channels and frequency bands for emotion recognition from EEG with deep belief network. NER (2015)
Yong-Qi Zhang, Wei-Long Zheng, Bao-Liang Lu
Transfer Components Between Subjects for EEG-based Driving Fatigue Detection. ICONIP (4) (2015)
Yifei Lu, Wei-Long Zheng, Binbin Li, Bao-Liang Lu
Combining Eye Movements and EEG to Enhance Emotion Recognition. IJCAI (2015)
Yu-Fei Zhang, Xiang-Yu Gao, Jia-Yi Zhu, Wei-Long Zheng, Bao-Liang Lu
A novel approach to driving fatigue detection using forehead EOG. NER (2015)
Wei-Long Zheng, Bao-Liang Lu
Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks. IEEE Trans. Auton. Ment. Dev. 7 (3) (2015)
Xiang-Yu Gao, Yu-Fei Zhang, Wei-Long Zheng, Bao-Liang Lu
Evaluating driving fatigue detection algorithms using eye tracking glasses. NER (2015)
Wei-Long Zheng, Yong-Qi Zhang, Jia-Yi Zhu, Bao-Liang Lu
Transfer components between subjects for EEG-based emotion recognition. ACII (2015)
Jia-Yi Zhu, Wei-Long Zheng, Yong Peng, Ruo-Nan Duan, Bao-Liang Lu
EEG-based emotion recognition using discriminative graph regularized extreme learning machine. IJCNN (2014)
Yong Peng, Jia-Yi Zhu, Wei-Long Zheng, Bao-Liang Lu
EEG-based emotion recognition with manifold regularized extreme learning machine. EMBC (2014)
Wei-Long Zheng, Jia-Yi Zhu, Bao-Liang Lu
Multimodel emotion analysis in response to multimedia. ICME Workshops (2014)
Wei-Long Zheng, Jia-Yi Zhu, Yong Peng, Bao-Liang Lu
EEG-based emotion classification using deep belief networks. ICME (2014)
Xuemin Zhu, Wei-Long Zheng, Bao-Liang Lu, Xiaoping Chen, Shanguang Chen, Chunhui Wang
EOG-based drowsiness detection using convolutional neural networks. IJCNN (2014)
Wei-Long Zheng, Bo-Nan Dong, Bao-Liang Lu
Multimodal emotion recognition using EEG and eye tracking data. EMBC (2014)
Shan-Chun Shen, Wei-Long Zheng, Bao-Liang Lu
Online Object Tracking Based on Depth Image with Sparse Coding. ICONIP (3) (2014)