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ORCIDWei-Long Zheng
郑伟龙
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- affiliation: Shanghai Jiao Tong University, Shanghai, China
- unicode name: 郑伟龙
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2020 – today
- 2024
[c60]Ziyi Li, Li-Ming Zhao, Wei-Long Zheng, Bao-Liang Lu:
Temporal-Spatial Prediction: Pre-Training on Diverse Datasets for EEG Classification. ICASSP 2024: 1806-1810- [c59]Wei-Bang Jiang, Ziyi Li, Wei-Long Zheng, Bao-Liang Lu:
Functional Emotion Transformer for EEG-Assisted Cross-Modal Emotion Recognition. ICASSP 2024: 1841-1845 - [c58]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: 1871-1875 - [c57]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: 1926-1930 - [c56]Tian-Fang Ma, Lu-Yu Liu, Li-Ming Zhao, Dan Peng, Yong Lu, Wei-Long Zheng, Bao-Liang Lu:
Detecting Major Depression Disorder with Multiview Eye Movement Features in a Novel Oil Painting Paradigm. IJCNN 2024: 1-8 - [i11]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 abs/2405.17503 (2024) - [i10]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 abs/2407.09508 (2024) - [i9]Xuan-Hao Liu, Xinhao Song, Dexuan He, Bao-Liang Lu, Wei-Long Zheng:
Professor X: Manipulating EEG BCI with Invisible and Robust Backdoor Attack. CoRR abs/2409.20158 (2024) - 2023
- [c55]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: 879-884 - [c54]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: 1-4 - [c53]Rong-Fei Gu, Li-Ming Zhao, Wei-Long Zheng, Bao-Liang Lu:
Tagging Continuous Labels for EEG-based Emotion Classification. EMBC 2023: 1-4 - [c52]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: 1-4 - [c51]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: 1-4 - [c50]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: 1-4 - [c49]Wei-Bang Jiang
, Xu Yan, Wei-Long Zheng, Bao-Liang Lu:
Elastic Graph Transformer Networks for EEG-Based Emotion Recognition. ICASSP 2023: 1-5 - [c48]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: 186-197 - [c47]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: 265-276 - [c46]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: 402-414 - [c45]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: 1-8 - [c44]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: 5975-5984 - [c43]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: 1-4 - [c42]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: 1-4 - [i8]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 abs/2308.02510 (2023) - 2022
- [j14]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): 715-729 (2022) - [j13]Wei-Long Zheng, Edilberto Amorim, Jin Jing, Ona Wu, Mohammad M. 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): 1813-1825 (2022) - [j12]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): 3097-3110 (2022) - [c41]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: 4167-4170 - [c40]Tian-Fang Ma, Wei-Long Zheng, Bao-Liang Lu:
Few-Shot Class-Incremental Learning for EEG-Based Emotion Recognition. ICONIP (5) 2022: 445-455 - [c39]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: 6-14 - 2021
- [j11]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): 209-222 (2021) - 2020
- [j10]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): 1696-1706 (2020) - [j9]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): 4626-4638 (2020) - [j8]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): 170-184 (2020) - [i7]Xun Wu, Wei-Long Zheng, Bao-Liang Lu:
Investigating EEG-Based Functional Connectivity Patterns for Multimodal Emotion Recognition. CoRR abs/2004.01973 (2020)
2010 – 2019
- 2019
- [j7]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) - [j6]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): 417-429 (2019) - [j5]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): 1110-1122 (2019) - [c38]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: 6746-6749 - [c37]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: 30-42 - [c36]Jia-Xin Ma, Hao Tang, Wei-Long Zheng, Bao-Liang Lu:
Emotion Recognition using Multimodal Residual LSTM Network. ACM Multimedia 2019: 176-183 - [c35]Xun Wu, Wei-Long Zheng, Bao-Liang Lu:
Identifying Functional Brain Connectivity Patterns for EEG-Based Emotion Recognition. NER 2019: 235-238 - [c34]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: 607-610 - [c33]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: 611-614 - [i6]Wei Liu, Jie-Lin Qiu, Wei-Long Zheng, Bao-Liang Lu:
Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis. CoRR abs/1908.05349 (2019) - 2018
- [j4]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): 408-419 (2018) - [c32]Yun Luo, Si-Yang Zhang, Wei-Long Zheng, Bao-Liang Lu:
WGAN Domain Adaptation for EEG-Based Emotion Recognition. ICONIP (5) 2018: 275-286 - [c31]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: 330-340 - [c30]He Li, Yi-Ming Jin, Wei-Long Zheng, Bao-Liang Lu:
Cross-Subject Emotion Recognition Using Deep Adaptation Networks. ICONIP (5) 2018: 403-413 - [c29]He Li, Wei-Long Zheng, Bao-Liang Lu:
Multimodal Vigilance Estimation with Adversarial Domain Adaptation Networks. IJCNN 2018: 1-6 - [c28]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: 1-8 - [c27]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: 108-116 - [i5]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 abs/1808.02096 (2018) - 2017
- [j3]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): 745-758 (2017) - [c26]Xue Yan, Wei-Long Zheng, Wei Liu, Bao-Liang Lu:
Identifying Gender Differences in Multimodal Emotion Recognition Using Bimodal Deep AutoEncoder. ICONIP (4) 2017: 533-542 - [c25]Xing-Zan Zhang, Wei-Long Zheng, Bao-Liang Lu:
EEG-Based Sleep Quality Evaluation with Deep Transfer Learning. ICONIP (4) 2017: 543-552 - [c24]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: 572-580 - [c23]Hao Tang, Wei Liu, Wei-Long Zheng, Bao-Liang Lu:
Multimodal Emotion Recognition Using Deep Neural Networks. ICONIP (4) 2017: 811-819 - [c22]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: 820-829 - [c21]Li-Huan Du, Wei Liu, Wei-Long Zheng, Bao-Liang Lu:
Detecting driving fatigue with multimodal deep learning. NER 2017: 74-77 - [c20]Zhen-Feng Shi, Chang Zhou, Wei-Long Zheng, Bao-Liang Lu:
Attention evaluation with eye tracking glasses for EEG-based emotion recognition. NER 2017: 86-89 - [c19]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: 94-97 - [i4]Changde Du, Changying Du, Jinpeng Li, Wei-Long Zheng, Bao-Liang Lu, Huiguang He:
Semi-supervised Bayesian Deep Multi-modal Emotion Recognition. CoRR abs/1704.07548 (2017) - 2016
- [j2]Yong Peng, Wei-Long Zheng, Bao-Liang Lu:
An unsupervised discriminative extreme learning machine and its applications to data clustering. Neurocomputing 174: 250-264 (2016) - [c18]Wei Liu, Wei-Long Zheng, Bao-Liang Lu:
Emotion Recognition Using Multimodal Deep Learning. ICONIP (2) 2016: 521-529 - [c17]Nan Zhang, Wei-Long Zheng, Wei Liu, Bao-Liang Lu:
Continuous Vigilance Estimation Using LSTM Neural Networks. ICONIP (2) 2016: 530-537 - [c16]Wei-Long Zheng, Bao-Liang Lu:
Personalizing EEG-Based Affective Models with Transfer Learning. IJCAI 2016: 2732-2739 - [c15]Xue-Qin Huo, Wei-Long Zheng, Bao-Liang Lu:
Driving fatigue detection with fusion of EEG and forehead EOG. IJCNN 2016: 897-904 - [c14]Li-Li Wang, Wei-Long Zheng, Hai-Wei Ma, Bao-Liang Lu:
Measuring sleep quality from EEG with machine learning approaches. IJCNN 2016: 905-912 - [i3]Wei-Long Zheng, Jia-Yi Zhu, Bao-Liang Lu:
Identifying Stable Patterns over Time for Emotion Recognition from EEG. CoRR abs/1601.02197 (2016) - [i2]Wei Liu, Wei-Long Zheng, Bao-Liang Lu:
Multimodal Emotion Recognition Using Multimodal Deep Learning. CoRR abs/1602.08225 (2016) - [i1]Wei-Long Zheng, Bao-Liang Lu:
A Multimodal Approach to Estimating Vigilance Using EEG and Forehead EOG. CoRR abs/1611.08492 (2016) - 2015
- [j1]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): 162-175 (2015) - [c13]Wei-Long Zheng, Yong-Qi Zhang, Jia-Yi Zhu, Bao-Liang Lu:
Transfer components between subjects for EEG-based emotion recognition. ACII 2015: 917-922 - [c12]Yong-Qi Zhang, Wei-Long Zheng, Bao-Liang Lu:
Transfer Components Between Subjects for EEG-based Driving Fatigue Detection. ICONIP (4) 2015: 61-68 - [c11]Yifei Lu, Wei-Long Zheng, Binbin Li, Bao-Liang Lu:
Combining Eye Movements and EEG to Enhance Emotion Recognition. IJCAI 2015: 1170-1176 - [c10]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: 154-157 - [c9]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: 707-710 - [c8]Xiang-Yu Gao, Yu-Fei Zhang, Wei-Long Zheng, Bao-Liang Lu:
Evaluating driving fatigue detection algorithms using eye tracking glasses. NER 2015: 767-770 - 2014
- [c7]Yong Peng, Jia-Yi Zhu, Wei-Long Zheng, Bao-Liang Lu:
EEG-based emotion recognition with manifold regularized extreme learning machine. EMBC 2014: 974-977 - [c6]Wei-Long Zheng, Bo-Nan Dong, Bao-Liang Lu:
Multimodal emotion recognition using EEG and eye tracking data. EMBC 2014: 5040-5043 - [c5]Wei-Long Zheng, Jia-Yi Zhu, Bao-Liang Lu:
Multimodel emotion analysis in response to multimedia. ICME Workshops 2014: 1-2 - [c4]Wei-Long Zheng, Jia-Yi Zhu, Yong Peng, Bao-Liang Lu:
EEG-based emotion classification using deep belief networks. ICME 2014: 1-6 - [c3]Shan-Chun Shen, Wei-Long Zheng, Bao-Liang Lu:
Online Object Tracking Based on Depth Image with Sparse Coding. ICONIP (3) 2014: 234-241 - [c2]Xuemin Zhu, Wei-Long Zheng, Bao-Liang Lu, Xiaoping Chen, Shanguang Chen, Chunhui Wang:
EOG-based drowsiness detection using convolutional neural networks. IJCNN 2014: 128-134 - [c1]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: 525-532
Coauthor Index
[c60] [c59] [c58] [c57] [c56] [i10] [i9] [c55] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [i8] [j14] [j12] [c41] [c40] [c39] [j11] [j8] [i7] [j6] [j5] [c38] [c37] [c36] [c35] [c34] [c33] [i6] [j4] [c32] [c31] [c30] [c29] [c28] [c27] [i5] [j3] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [i4] [j2] [c18] [c17] [c16] [c15] [c14] [i3] [i2] [i1] [j1] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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