Wei-Long Zheng

127 papers A* 15A 1B 11Misc 10Journal 36Unranked 54

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	A Multimodal EEG-Eye Movement Model for Automatic Depression Detection. AAAI Hao-Long Yin, Jian-Ming Zhang, Ren-Jie Dai, Wei-Long Zheng, Qinyu Lv, Zhenghui Yi, Bao-Liang Lu
2026	J	`jnl`	Gram: A Large General EEG Model for Raw Data Classification and Restoration. IEEE Trans. Affect. Comput. Ziyi Li, Wei-Long Zheng, Jiwen Xu, Yong Lu, Bao-Liang Lu
2026	J	`jnl`	MindCine: Multimodal EEG-to-Video Reconstruction with Large-Scale Pretrained Models. CoRR Tian-Yi Zhou, Xuan-Hao Liu, Bao-Liang Lu, Wei-Long Zheng
2026	A*	`conf`	MindCross: Fast New Subject Adaptation with Limited Data for Cross-subject Video Reconstruction from Brain Signals. AAAI Xuan-Hao Liu, Yan-Kai Liu, Tianyi Zhou, Bao-Liang Lu, Wei-Long Zheng
2025	—	`conf`	Attention-Based Graph Net with Mixture of Experts for Emotion Recognition Under Sleep Deprivation. BIBM Shi-Heng Tian, Yan-Kai Liu, Bao-Liang Lu, Wei-Long Zheng
2025	A*	`conf`	Combining Induction and Transduction for Abstract Reasoning. ICLR Wen-Ding Li, Keya Hu, Carter Larsen, Yuqing Wu, Simon Alford, Caleb Woo, Spencer M. Dunn, Hao Tang, Wei-Long Zheng, Yewen Pu, Kevin Ellis
2025	—	`conf`	Decoding Emotions from Missing-Channel EEG Signals via Uncertainty-Aware Modeling with Neural Processes. BIBM Yan-Kai Liu, Xuan-Hao Liu, Yi-Dong Zhao, Bao-Liang Lu, Wei-Long Zheng
2025	Misc	`conf`	Double Domain Converter Transformer For Improving EEG-Based Emotion Recognition from Video to Game Scenarios. ICASSP Jun-Yu Pan, Hao-Long Yin, Wei-Long Zheng
2025	J	`jnl`	From EEG to Eye Movements: Cross-Modal Emotion Recognition Using Constrained Adversarial Network With Dual Attention. IEEE Trans. Affect. Comput. Yiting Wang, Jia-Wen Liu, Bao-Liang Lu, Wei-Long Zheng
2025	Misc	`conf`	Gram: A Large-Scale General EEG Model for Raw Data Classification and Restoration Tasks. ICASSP Ziyi Li, Wei-Long Zheng, Bao-Liang Lu
2025	—	`conf`	Hierarchical Emotion Transformer for Multimodal Joint Emotion Category and Intensity Recognition. ICONIP (1) Tian-Fang Ma, Wei-Bang Jiang, Wei-Long Zheng, Bao-Liang Lu
2025	A*	`conf`	Human vs AI: How Digital Human News Anchors Affect Our Cognitive Processes? ACM Multimedia Yan-Kai Liu, Shunyang Yao, Tao Xi, Bao-Liang Lu, Wei-Long Zheng
2025	J	`jnl`	Investigating the Effects of Sleep Conditions on Emotion Responses with EEG Signals and Eye Movements. IEEE Trans. Affect. Comput. Ziyi Li, Le-Yan Tao, Rui-Xiao Ma, Wei-Long Zheng, Bao-Liang Lu
2025	J	`jnl`	MindCross: Fast New Subject Adaptation with Limited Data for Cross-subject Video Reconstruction from Brain Signals. CoRR Xuan-Hao Liu, Yan-Kai Liu, Tianyi Zhou, Bao-Liang Lu, Wei-Long Zheng
2025	Misc	`conf`	Multi-Scale Attention-Based Dense Spatial-Temporal Model for Emotion Induction in Response to Olfactory Stimuli. ICASSP Jian-Ming Zhang, Wei-Bang Jiang, Wei-Long Zheng, Bao-Liang Lu
2025	Misc	`conf`	Multi-Source Multi-Target Domain Similarity Network for Cross-Cultural EEG Emotion Recognition. ICASSP Haiqing Hu, Hanwen Shi, Bao-Liang Lu, Wei-Long Zheng
2025	J	`jnl`	Multi-View Self-Supervised Domain Adaptation for EEG-Based Emotion Recognition. IEEE Trans. Affect. Comput. Lu Zhang, Hanwen Shi, Juan-Zi Li, Wei-Long Zheng, Bao-Liang Lu
2025	—	`conf`	Multi-session Meditative EEG Classification with Noise-Robust Self-supervision. ICONIP (2) Zuxin Song, Fei Cheng, Mingyu Gou, Tianzhen Chen, Bao-Liang Lu, Jiang Du, Wei-Long Zheng
2025	A*	`conf`	Multi-to-Single: Reducing Multimodal Dependency in Emotion Recognition Through Contrastive Learning. AAAI Yan-Kai Liu, Jinyu Cai, Bao-Liang Lu, Wei-Long Zheng
2025	A*	`conf`	Multimodal Emotion Recognition with Missing Modality via a Unified Multi-task Pre-training Framework. ACM Multimedia Ziyi Li, Wei-Long Zheng, Bao-Liang Lu
2025	J	`jnl`	SEED-MYA: A Novel Myanmar Multimodal Dataset for Enhancing Emotion Recognition. IEEE Trans. Affect. Comput. Khin Pa Pa Aung, Hao-Long Yin, Tian-Fang Ma, Wei-Long Zheng, Bao-Liang Lu
2025	J	`jnl`	SEED-VII: A Multimodal Dataset of Six Basic Emotions With Continuous Labels for Emotion Recognition. IEEE Trans. Affect. Comput. Wei-Bang Jiang, Xuan-Hao Liu, Wei-Long Zheng, Bao-Liang Lu
2025	Misc	`conf`	STAR: A Spatial-Temporal Autoencoder for EEG Restoration in Emotion Recognition. ICASSP Hao-Long Yin, Wei-Long Zheng, Bao-Liang Lu
2025	B	`conf`	Self-supervised EEG Representation Learning based on Temporal Prediction and Spatial Reconstruction for Emotion Recognition. CogSci Ren-Jie Dai, Keya Hu, Hao-Long Yin, Bao-Liang Lu, Wei-Long Zheng
2025	B	`conf`	mixEEG: Enhancing EEG Federated Learning for Cross-subject EEG Classification with Tailored mixup. CogSci Xuan-Hao Liu, Bao-Liang Lu, Wei-Long Zheng
2025	J	`jnl`	mixEEG: Enhancing EEG Federated Learning for Cross-subject EEG Classification with Tailored mixup. CoRR Xuan-Hao Liu, Bao-Liang Lu, Wei-Long Zheng
2024	—	`conf`	A Multi-task Emotion Recognition Model Based on Continuously Labeled EEG Signals. ICONIP (5) Rong-Fei Gu, Yi-Dong Zhao, Li-Ming Zhao, Wei-Long Zheng, Bao-Liang Lu
2024	—	`conf`	A Multimodal Myanmar Emotion Dataset for Emotion Recognition. EMBC Khin Pa Pa Aung, Hao-Long Yin, Tian-Fang Ma, Wei-Long Zheng, Bao-Liang Lu
2024	—	`conf`	Addressing Temporal and Auditory Factors in Meditative EEG with Self-Supervised Learning. BIBM Mingyu Gou, Ying-Jie Zhang, Ren-Jie Dai, Hao-Long Yin, Tianzhen Chen, Fei Cheng, Bao-Liang Lu, Jiang Du, Wei-Long Zheng
2024	Misc	`conf`	CEMOAE: A Dynamic Autoencoder with Masked Channel Modeling for Robust EEG-Based Emotion Recognition. ICASSP Yu-Ting Lan, Wei-Bang Jiang, Wei-Long Zheng, Bao-Liang Lu
2024	A*	`conf`	Code Repair with LLMs gives an Exploration-Exploitation Tradeoff. NeurIPS Hao Tang, Keya Hu, Jin Zhou, Sicheng Zhong, Wei-Long Zheng, Xujie Si, Kevin Ellis
2024	J	`jnl`	Code Repair with LLMs gives an Exploration-Exploitation Tradeoff. CoRR Hao Tang, Keya Hu, Jin Peng Zhou, Sicheng Zhong, Wei-Long Zheng, Xujie Si, Kevin Ellis
2024	J	`jnl`	Combining Induction and Transduction for Abstract Reasoning. CoRR Wen-Ding Li, Keya Hu, Carter Larsen, Yuqing Wu, Simon Alford, Caleb Woo, Spencer M. Dunn, Hao Tang, Michelangelo Naim, Dat Nguyen, Wei-Long Zheng, Zenna Tavares, Yewen Pu, Kevin Ellis
2024	—	`conf`	Contrastive Self-supervised EEG Representation Learning for Emotion Classification. EMBC Keya Hu, Ren-Jie Dai, Wen-tao Chen, Hao-Long Yin, Bao-Liang Lu, Wei-Long Zheng
2024	B	`conf`	Detecting Major Depression Disorder with Multiview Eye Movement Features in a Novel Oil Painting Paradigm. IJCNN Tian-Fang Ma, Lu-Yu Liu, Li-Ming Zhao, Dan Peng, Yong Lu, Wei-Long Zheng, Bao-Liang Lu
2024	—	`conf`	EEG Data Augmentation for Emotion Recognition Using Diffusion Model. EMBC Yi-Dong Zhao, Yan-Kai Liu, Wei-Long Zheng, Bao-Liang Lu
2024	—	`conf`	EEG-Based Tension Recognition Annotated with Electrodermal Activity. EMBC Wei Gu, Yun-Huan Li, Li-Ming Zhao, Wei-Long Zheng, Bao-Liang Lu
2024	A*	`conf`	EEG2Video: Towards Decoding Dynamic Visual Perception from EEG Signals. NeurIPS Xuan-Hao Liu, Yan-Kai Liu, Yansen Wang, Kan Ren, Hanwen Shi, Zilong Wang, Dongsheng Li, Bao-Liang Lu, Wei-Long Zheng
2024	—	`conf`	Emotion Recognition from Eye Movements Using Multi-way Autoregressive Model. BIBM Tian-Fang Ma, Xuan-Hao Liu, Wei-Long Zheng, Bao-Liang Lu
2024	—	`conf`	Focused State Recognition Using EEG with Eye Movement-Assisted Annotation. EMBC Tianhua Li, Tian-Fang Ma, Dan Peng, Wei-Long Zheng, Bao-Liang Lu
2024	J	`jnl`	Focused State Recognition Using EEG with Eye Movement-Assisted Annotation. CoRR Tianhua Li, Tian-Fang Ma, Dan Peng, Wei-Long Zheng, Bao-Liang Lu
2024	Misc	`conf`	Functional Emotion Transformer for EEG-Assisted Cross-Modal Emotion Recognition. ICASSP Wei-Bang Jiang, Ziyi Li, Wei-Long Zheng, Bao-Liang Lu
2024	A*	`conf`	FuseAnyPart: Diffusion-Driven Facial Parts Swapping via Multiple Reference Images. NeurIPS Zheng Yu, Yaohua Wang, Siying Cui, Aixi Zhang, Wei-Long Zheng, Senzhang Wang
2024	J	`jnl`	FuseAnyPart: Diffusion-Driven Facial Parts Swapping via Multiple Reference Images. CoRR Zheng Yu, Yaohua Wang, Siying Cui, Aixi Zhang, Wei-Long Zheng, Senzhang Wang
2024	—	`conf`	Improving Cross-Subject Emotion Recognition Performance with an Encoder-Decoder Structure. EMBC Haowei Cui, Hanwen Shi, Bao-Liang Lu, Wei-Long Zheng
2024	—	`conf`	MoGE: Mixture of Graph Experts for Cross-subject Emotion Recognition via Decomposing EEG. BIBM Xuan-Hao Liu, Wei-Bang Jiang, Wei-Long Zheng, Bao-Liang Lu
2024	—	`conf`	Multi-modal Adversarial Regressive Transformer for Cross-subject Fatigue Detection. EMBC Mingyu Gou, Hao-Long Yin, Bao-Liang Lu, Wei-Long Zheng
2024	Misc	`conf`	Multimodal Multi-View Spectral-Spatial-Temporal Masked Autoencoder for Self-Supervised Emotion Recognition. ICASSP Pengxuan Gao, Tianyu Liu, Jia-Wen Liu, Bao-Liang Lu, Wei-Long Zheng
2024	J	`jnl`	Professor X: Manipulating EEG BCI with Invisible and Robust Backdoor Attack. CoRR Xuan-Hao Liu, Xinhao Song, Dexuan He, Bao-Liang Lu, Wei-Long Zheng
2024	Misc	`conf`	Temporal-Spatial Prediction: Pre-Training on Diverse Datasets for EEG Classification. ICASSP Ziyi Li, Li-Ming Zhao, Wei-Long Zheng, Bao-Liang Lu
2023	B	`conf`	Cross-Subject Decision Confidence Estimation from EEG Signals Using Spectral-Spatial-Temporal Adaptive GCN with Domain Adaptation. IJCNN Rong-Fei Gu, Rui Li, Wei-Long Zheng, Bao-Liang Lu
2023	—	`conf`	DAformer: Transformer with Domain Adversarial Adaptation for EEG-Based Emotion Recognition with Live-Oil Paintings. ICONIP (9) Zhong-Wei Jin, Jiawen Liu, Wei-Long Zheng, Bao-Liang Lu
2023	—	`conf`	Deep Depression Detection with Resting-State and Cognitive-Task EEG. EMBC Dan Peng, Wei Liu, Yun Luo, Ziyu Mao, Wei-Long Zheng, Bao-Liang Lu
2023	—	`conf`	EEG-Eye Movements Cross-Modal Decision Confidence Measurement with Generative Adversarial Networks. NER Cheng Fei, Rui Li, Li-Ming Zhao, Wei-Long Zheng, Bao-Liang Lu
2023	Misc	`conf`	Elastic Graph Transformer Networks for EEG-Based Emotion Recognition. ICASSP Wei-Bang Jiang, Xu Yan, Wei-Long Zheng, Bao-Liang Lu
2023	—	`conf`	Identifying Artistic Expertise Difference in Emotion Recognition in Response to Oil Paintings. NER Yu-Ting Lan, Ze-Chen Li, Dan Peng, Wei-Long Zheng, Bao-Liang Lu
2023	—	`conf`	Investigating Emotion EEG Patterns for Depression Detection with Attentive Simple Graph Convolutional Network. EMBC Yu-Ting Lan, Dan Peng, Wei Liu, Yun Luo, Ziyu Mao, Wei-Long Zheng, Bao-Liang Lu
2023	A*	`conf`	Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels. ACM Multimedia Wei-Bang Jiang, Xuan-Hao Liu, Wei-Long Zheng, Bao-Liang Lu
2023	—	`conf`	Naturalistic Emotion Recognition Using EEG and Eye Movements. ICONIP (3) Jian-Ming Zhang, Jiawen Liu, Ziyi Li, Tian-Fang Ma, Yiting Wang, Wei-Long Zheng, Bao-Liang Lu
2023	—	`conf`	Objective Depression Detection Using EEG and Eye Movement Signals Induced by Oil Paintings. EMBC Luyu Liu, Dan Peng, Wei-Long Zheng, Bao-Liang Lu
2023	—	`conf`	Predicting Neurological Recovery from Coma After Cardiac Arrest: The George B. Moody PhysioNet Challenge 2023. CinC 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
2023	J	`jnl`	Seeing through the Brain: Image Reconstruction of Visual Perception from Human Brain Signals. CoRR Yu-Ting Lan, Kan Ren, Yansen Wang, Wei-Long Zheng, Dongsheng Li, Bao-Liang Lu, Lili Qiu
2023	—	`conf`	Tagging Continuous Labels for EEG-based Emotion Classification. EMBC Rong-Fei Gu, Li-Ming Zhao, Wei-Long Zheng, Bao-Liang Lu
2023	—	`conf`	Transformer-Based Domain Adaptation for Multi-Modal Emotion Recognition in Response to Game Animation Videos. BIBM Jing-Yi Liu, Jia-Wen Liu, Wei-Long Zheng, Bao-Liang Lu
2023	—	`conf`	Two-Stream Spectral-Temporal Denoising Network for End-to-End Robust EEG-Based Emotion Recognition. ICONIP (3) Xuan-Hao Liu, Wei-Bang Jiang, Wei-Long Zheng, Bao-Liang Lu
2022	A*	`conf`	A Multi-view Spectral-Spatial-Temporal Masked Autoencoder for Decoding Emotions with Self-supervised Learning. ACM Multimedia Rui Li, Yiting Wang, Wei-Long Zheng, Bao-Liang Lu
2022	J	`jnl`	Comparing Recognition Performance and Robustness of Multimodal Deep Learning Models for Multimodal Emotion Recognition. IEEE Trans. Cogn. Dev. Syst. Wei Liu, Jie-Lin Qiu, Wei-Long Zheng, Bao-Liang Lu
2022	—	`conf`	Few-Shot Class-Incremental Learning for EEG-Based Emotion Recognition. ICONIP (5) Tian-Fang Ma, Wei-Long Zheng, Bao-Liang Lu
2022	—	`conf`	Multimodal Emotion Recognition in Response to Oil Paintings. EMBC Shuai Luo, Yu-Ting Lan, Dan Peng, Ziyi Li, Wei-Long Zheng, Bao-Liang Lu
2022	J	`jnl`	Multimodal Vigilance Estimation Using Deep Learning. IEEE Trans. Cybern. Wei Wu, Wei Sun, Q. M. Jonathan Wu, Yimin Yang, Hui Zhang, Wei-Long Zheng, Bao-Liang Lu
2022	J	`jnl`	Predicting Neurological Outcome From Electroencephalogram Dynamics in Comatose Patients After Cardiac Arrest With Deep Learning. IEEE Trans. Biomed. Eng. 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
2021	J	`jnl`	A Regression Method With Subnetwork Neurons for Vigilance Estimation Using EOG and EEG. IEEE Trans. Cogn. Dev. Syst. Wei Wu, Q. M. Jonathan Wu, Wei Sun, Yimin Yang, Xiaofang Yuan, Wei-Long Zheng, Bao-Liang Lu
2020	J	`jnl`	Adaptive Sedation Monitoring From EEG in ICU Patients With Online Learning. IEEE Trans. Biomed. Eng. Wei-Long Zheng, Haoqi Sun, Oluwaseun Akeju, M. Brandon Westover
2020	J	`jnl`	Early Action Recognition With Category Exclusion Using Policy-Based Reinforcement Learning. IEEE Trans. Circuits Syst. Video Technol. Junwu Weng, Xudong Jiang, Wei-Long Zheng, Junsong Yuan
2020	J	`jnl`	Investigating EEG-Based Functional Connectivity Patterns for Multimodal Emotion Recognition. CoRR Xun Wu, Wei-Long Zheng, Bao-Liang Lu
2020	J	`jnl`	Vigilance Estimation Using a Wearable EOG Device in Real Driving Environment. IEEE Trans. Intell. Transp. Syst. Wei-Long Zheng, Kunpeng Gao, Gang Li, Wei Liu, Chao Liu, Jing-Quan Liu, Guoxing Wang, Bao-Liang Lu
2019	J	`jnl`	Automated tracking of level of consciousness and delirium in critical illness using deep learning. npj Digit. Medicine 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
2019	—	`conf`	Classification of Five Emotions from EEG and Eye Movement Signals: Complementary Representation Properties. NER Li-Ming Zhao, Rui Li, Wei-Long Zheng, Bao-Liang Lu
2019	—	`conf`	Classification of Five Emotions from EEG and Eye Movement Signals: Discrimination Ability and Stability over Time. NER Tian-Hao Li, Wei Liu, Wei-Long Zheng, Bao-Liang Lu
2019	A*	`conf`	Emotion Recognition using Multimodal Residual LSTM Network. ACM Multimedia Jia-Xin Ma, Hao Tang, Wei-Long Zheng, Bao-Liang Lu
2019	J	`jnl`	EmotionMeter: A Multimodal Framework for Recognizing Human Emotions. IEEE Trans. Cybern. Wei-Long Zheng, Wei Liu, Yifei Lu, Bao-Liang Lu, Andrzej Cichocki
2019	—	`conf`	Identifying Functional Brain Connectivity Patterns for EEG-Based Emotion Recognition. NER Xun Wu, Wei-Long Zheng, Bao-Liang Lu
2019	J	`jnl`	Identifying Stable Patterns over Time for Emotion Recognition from EEG. IEEE Trans. Affect. Comput. Wei-Long Zheng, Jia-Yi Zhu, Bao-Liang Lu
2019	—	`conf`	Investigating Sex Differences in Classification of Five Emotions from EEG and Eye Movement Signals. EMBC Lan-Qing Bao, Jie-Lin Qiu, Hao Tang, Wei-Long Zheng, Bao-Liang Lu
2019	J	`jnl`	Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis. CoRR Wei Liu, Jie-Lin Qiu, Wei-Long Zheng, Bao-Liang Lu
2019	—	`conf`	Reducing the Subject Variability of EEG Signals with Adversarial Domain Generalization. ICONIP (1) Bo-Qun Ma, He Li, Wei-Long Zheng, Bao-Liang Lu
2018	—	`conf`	Active Feedback Framework with Scan-Path Clustering for Deep Affective Models. ICONIP (2) Li-Ming Zhao, Xin-Wei Li, Wei-Long Zheng, Bao-Liang Lu
2018	—	`conf`	Cross-Subject Emotion Recognition Using Deep Adaptation Networks. ICONIP (5) He Li, Yiming Jin, Wei-Long Zheng, Bao-Liang Lu
2018	J	`jnl`	EEG-Based Emotion Recognition Using Hierarchical Network With Subnetwork Nodes. IEEE Trans. Cogn. Dev. Syst. Yimin Yang, Q. M. Jonathan Wu, Wei-Long Zheng, Bao-Liang Lu
2018	B	`conf`	Multimodal Vigilance Estimation with Adversarial Domain Adaptation Networks. IJCNN He Li, Wei-Long Zheng, Bao-Liang Lu
2018	A*	`conf`	Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data. ACM Multimedia Changde Du, Changying Du, Hao Wang, Jinpeng Li, Wei-Long Zheng, Bao-Liang Lu, Huiguang He
2018	J	`jnl`	Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data. CoRR Changde Du, Changying Du, Hao Wang, Jinpeng Li, Wei-Long Zheng, Bao-Liang Lu, Huiguang He
2018	B	`conf`	Sleep Quality Estimation with Adversarial Domain Adaptation: From Laboratory to Real Scenario. IJCNN Jia-Jun Tong, Yun Luo, Bo-Qun Ma, Wei-Long Zheng, Bao-Liang Lu, Xiao-Qi Song, Shi-Wei Ma
2018	—	`conf`	WGAN Domain Adaptation for EEG-Based Emotion Recognition. ICONIP (5) Yun Luo, Si-Yang Zhang, Wei-Long Zheng, Bao-Liang Lu
2017	—	`conf`	Attention evaluation with eye tracking glasses for EEG-based emotion recognition. NER Zhen-Feng Shi, Chang Zhou, Wei-Long Zheng, Bao-Liang Lu
2017	—	`conf`	Detecting driving fatigue with multimodal deep learning. NER Li-Huan Du, Wei Liu, Wei-Long Zheng, Bao-Liang Lu
2017	—	`conf`	EEG-Based Sleep Quality Evaluation with Deep Transfer Learning. ICONIP (4) Xing-Zan Zhang, Wei-Long Zheng, Bao-Liang Lu
2017	—	`conf`	Emotion Annotation Using Hierarchical Aligned Cluster Analysis. ICONIP (4) Wei-Ye Zhao, Sheng Fang, Ting Ji, Qian Ji, Wei-Long Zheng, Bao-Liang Lu
2017	—	`conf`	Identifying Gender Differences in Multimodal Emotion Recognition Using Bimodal Deep AutoEncoder. ICONIP (4) Xue Yan, Wei-Long Zheng, Wei Liu, Bao-Liang Lu
2017	—	`conf`	Investigating Gender Differences of Brain Areas in Emotion Recognition Using LSTM Neural Network. ICONIP (4) Xue Yan, Wei-Long Zheng, Wei Liu, Bao-Liang Lu
2017	—	`conf`	Multimodal Emotion Recognition Using Deep Neural Networks. ICONIP (4) Hao Tang, Wei Liu, Wei-Long Zheng, Bao-Liang Lu
2017	—	`conf`	Neural patterns between Chinese and Germans for EEG-based emotion recognition. NER Si-yuan Wu, Moritz Schaefer, Wei-Long Zheng, Bao-Liang Lu, Hiroshi Yokoi
2017	J	`jnl`	Online Depth Image-Based Object Tracking with Sparse Representation and Object Detection. Neural Process. Lett. Wei-Long Zheng, Shan-Chun Shen, Bao-Liang Lu
2017	J	`jnl`	Semi-supervised Bayesian Deep Multi-modal Emotion Recognition. CoRR Changde Du, Changying Du, Jinpeng Li, Wei-Long Zheng, Bao-Liang Lu, Huiguang He
2016	J	`jnl`	A Multimodal Approach to Estimating Vigilance Using EEG and Forehead EOG. CoRR Wei-Long Zheng, Bao-Liang Lu
2016	J	`jnl`	An unsupervised discriminative extreme learning machine and its applications to data clustering. Neurocomputing Yong Peng, Wei-Long Zheng, Bao-Liang Lu
2016	—	`conf`	Continuous Vigilance Estimation Using LSTM Neural Networks. ICONIP (2) Nan Zhang, Wei-Long Zheng, Wei Liu, Bao-Liang Lu
2016	B	`conf`	Driving fatigue detection with fusion of EEG and forehead EOG. IJCNN Xue-Qin Huo, Wei-Long Zheng, Bao-Liang Lu
2016	—	`conf`	Emotion Recognition Using Multimodal Deep Learning. ICONIP (2) Wei Liu, Wei-Long Zheng, Bao-Liang Lu
2016	J	`jnl`	Identifying Stable Patterns over Time for Emotion Recognition from EEG. CoRR Wei-Long Zheng, Jia-Yi Zhu, Bao-Liang Lu
2016	B	`conf`	Measuring sleep quality from EEG with machine learning approaches. IJCNN Li-Li Wang, Wei-Long Zheng, Hai-Wei Ma, Bao-Liang Lu
2016	J	`jnl`	Multimodal Emotion Recognition Using Multimodal Deep Learning. CoRR Wei Liu, Wei-Long Zheng, Bao-Liang Lu
2016	A*	`conf`	Personalizing EEG-Based Affective Models with Transfer Learning. IJCAI Wei-Long Zheng, Bao-Liang Lu
2015	—	`conf`	A novel approach to driving fatigue detection using forehead EOG. NER Yu-Fei Zhang, Xiang-Yu Gao, Jia-Yi Zhu, Wei-Long Zheng, Bao-Liang Lu
2015	A*	`conf`	Combining Eye Movements and EEG to Enhance Emotion Recognition. IJCAI Yifei Lu, Wei-Long Zheng, Binbin Li, Bao-Liang Lu
2015	—	`conf`	Evaluating driving fatigue detection algorithms using eye tracking glasses. NER Xiang-Yu Gao, Yu-Fei Zhang, Wei-Long Zheng, Bao-Liang Lu
2015	J	`jnl`	Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks. IEEE Trans. Auton. Ment. Dev. Wei-Long Zheng, Bao-Liang Lu
2015	—	`conf`	Revealing critical channels and frequency bands for emotion recognition from EEG with deep belief network. NER Wei-Long Zheng, Hao-Tian Guo, Bao-Liang Lu
2015	—	`conf`	Transfer Components Between Subjects for EEG-based Driving Fatigue Detection. ICONIP (4) Yong-Qi Zhang, Wei-Long Zheng, Bao-Liang Lu
2015	B	`conf`	Transfer components between subjects for EEG-based emotion recognition. ACII Wei-Long Zheng, Yong-Qi Zhang, Jia-Yi Zhu, Bao-Liang Lu
2014	A	`conf`	EEG-based emotion classification using deep belief networks. ICME Wei-Long Zheng, Jia-Yi Zhu, Yong Peng, Bao-Liang Lu
2014	B	`conf`	EEG-based emotion recognition using discriminative graph regularized extreme learning machine. IJCNN Jia-Yi Zhu, Wei-Long Zheng, Yong Peng, Ruo-Nan Duan, Bao-Liang Lu
2014	—	`conf`	EEG-based emotion recognition with manifold regularized extreme learning machine. EMBC Yong Peng, Jia-Yi Zhu, Wei-Long Zheng, Bao-Liang Lu
2014	B	`conf`	EOG-based drowsiness detection using convolutional neural networks. IJCNN Xuemin Zhu, Wei-Long Zheng, Bao-Liang Lu, Xiaoping Chen, Shanguang Chen, Chunhui Wang
2014	—	`conf`	Multimodal emotion recognition using EEG and eye tracking data. EMBC Wei-Long Zheng, Bo-Nan Dong, Bao-Liang Lu
2014	—	`conf`	Multimodel emotion analysis in response to multimedia. ICME Workshops Wei-Long Zheng, Jia-Yi Zhu, Bao-Liang Lu
2014	—	`conf`	Online Object Tracking Based on Depth Image with Sparse Coding. ICONIP (3) Shan-Chun Shen, Wei-Long Zheng, Bao-Liang Lu