Bao-Liang Lu

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 133

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)
Wei-Bang Jiang, Li-Ming Zhao, Bao-Liang Lu
Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI. 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)
Wei-Bang Jiang, Li-Ming Zhao, Bao-Liang Lu
Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI. ICLR (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)
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)
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)
Dongrui Wu, Bao-Liang Lu, Bin Hu, Zhigang Zeng
Affective Brain-Computer Interfaces (aBCIs): A Tutorial. Proc. IEEE 111 (10) (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)
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)
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)
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)
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)
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)
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)
Yixin Wang, Shuang Qiu, Dan Li, Changde Du, Bao-Liang Lu, Huiguang He
Multi-Modal Domain Adaptation Variational Autoencoder for EEG-Based Emotion Recognition. IEEE CAA J. Autom. Sinica 9 (9) (2022)
Yan-Kai Liu, Wei-Bang Jiang, Bao-Liang Lu
Increasing the Stability of EEG-based Emotion Recognition with a Variant of Neural Processes. IJCNN (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)
Ziyi Li, Luyu Liu, Yihui Zhu, Bao-Liang Lu
Exploring Sex Differences in Key Frequency Bands and Channel Connections for EEG-based Emotion Recognition. EMBC (2022)
Shu Jiang, Zuchao Li, Hai Zhao, Bao-Liang Lu, Rui Wang
Tri-training for Dependency Parsing Domain Adaptation. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21 (3) (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)
Rui Li, Yiting Wang, Bao-Liang Lu
Measuring Decision Confidence Levels from EEG Using a Spectral-Spatial-Temporal Adaptive Graph Convolutional Neural Network. ICONIP (5) (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)
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)
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)
Dongrui Wu, Yifan Xu, Bao-Liang Lu
Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progress Made Since 2016. IEEE Trans. Cogn. Dev. Syst. 14 (1) (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)
Cheng Fei, Rui Li, Li-Ming Zhao, Ziyi Li, Bao-Liang Lu
A Cross-modality Deep Learning Method for Measuring Decision Confidence from Eye Movement Signals. EMBC (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)
Xu Yan, Li-Ming Zhao, Bao-Liang Lu
Simplifying Multimodal Emotion Recognition with Single Eye Movement Modality. ACM Multimedia (2021)
Le-Dian Liu, Rui Li, Yu-Zhong Liu, Hua-Liang Li, Bao-Liang Lu
EEG-Based Human Decision Confidence Measurement Using Graph Neural Networks. ICONIP (6) (2021)
Yun Luo, Bao-Liang Lu
Wasserstein-Distance-Based Multi-Source Adversarial Domain Adaptation for Emotion Recognition and Vigilance Estimation. BIBM (2021)
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)
Rui Li, Le-Dian Liu, Bao-Liang Lu
Measuring Human Decision Confidence from EEG Signals in an Object Detection Task. NER (2021)
Hao-Yi Hu, Li-Ming Zhao, Yu-Zhong Liu, Hua-Liang Li, Bao-Liang Lu
A Novel Experiment Setting for Cross-subject Emotion Recognition. EMBC (2021)
Rui Li, Yiting Wang, Bao-Liang Lu
A Multi-Domain Adaptive Graph Convolutional Network for EEG-based Emotion Recognition. ACM Multimedia (2021)
Wei-Bang Jiang, Li-Ming Zhao, Ping Guo, Bao-Liang Lu
Discriminating Surprise and Anger from EEG and Eye Movements with a Graph Network. BIBM (2021)
Shu Jiang, Rui Wang, Zuchao Li, Masao Utiyama, Kehai Chen, Eiichiro Sumita, Hai Zhao, Bao-Liang Lu
Document-Level Neural Machine Translation with Associated Memory Network. IEICE Trans. Inf. Syst. (10) (2021)
Li-Ming Zhao, Xu Yan, Bao-Liang Lu
Plug-and-Play Domain Adaptation for Cross-Subject EEG-based Emotion Recognition. AAAI (2021)
Shu Jiang, Zhuosheng Zhang, Hai Zhao, Jiangtong Li, Yang Yang, Bao-Liang Lu, Ning Xia
When SMILES Smiles, Practicality Judgment and Yield Prediction of Chemical Reaction via Deep Chemical Language Processing. IEEE Access 9 (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)
Zhi-Wei Zhao, Wei Liu, Bao-Liang Lu
Multimodal Emotion Recognition Using a Modified Dense Co-Attention Symmetric Network. NER (2021)
Wei Wu, Wei Sun, Q. M. Jonathan Wu, Cheng Zhang, Yimin Yang, Hongshan Yu, Bao-Liang Lu
Faster Single Model Vigilance Detection Based on Deep Learning. IEEE Trans. Cogn. Dev. Syst. 13 (3) (2021)
Jian-Ming Zhang, Xu Yan, Zi-Yi Li, Li-Ming Zhao, Yu-Zhong Liu, Hua-Liang Li, Bao-Liang Lu
A Cross-subject and Cross-modal Model for Multimodal Emotion Recognition. ICONIP (6) (2021)
Rui-Xiao Ma, Xu Yan, Yu-Zhong Liu, Hua-Liang Li, Bao-Liang Lu
Sex Difference in Emotion Recognition under Sleep Deprivation: Evidence from EEG and Eye-tracking. EMBC (2021)
Yiting Wang, Wei-Bang Jiang, Rui Li, Bao-Liang Lu
Emotion Transformer Fusion: Complementary Representation Properties of EEG and Eye Movements on Recognizing Anger and Surprise. BIBM (2021)
Rui Li, Le-Dian Liu, Bao-Liang Lu
Discrimination of Decision Confidence Levels from EEG Signals. NER (2021)
Hao Tang, Zhiao Huang, Jiayuan Gu, Bao-Liang Lu, Hao Su
Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs. NeurIPS (2020)
Xun Wu, Wei-Long Zheng, Bao-Liang Lu
Investigating EEG-Based Functional Connectivity Patterns for Multimodal Emotion Recognition. CoRR (2020)
Le-Yan Tao, Bao-Liang Lu
Emotion Recognition under Sleep Deprivation Using a Multimodal Residual LSTM Network. IJCNN (2020)
Dongrui Wu, Yifan Xu, Bao-Liang Lu
Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progresses Since 2016. CoRR (2020)
Yu-Ting Lan, Wei Liu, Bao-Liang Lu
Multimodal Emotion Recognition Using Deep Generalized Canonical Correlation Analysis with an Attention Mechanism. IJCNN (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)
Yun Luo, Li-Zhen Zhu, Zi-Yu Wan, Bao-Liang Lu
Data Augmentation for Enhancing EEG-based Emotion Recognition with Deep Generative Models. CoRR (2020)
Hao Tang, Zhiao Huang, Jiayuan Gu, Bao-Liang Lu, Hao Su
Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous Graph Neural Networks. CoRR (2020)
Yingying Jiao, Yini Deng, Yun Luo, Bao-Liang Lu
Driver sleepiness detection from EEG and EOG signals using GAN and LSTM networks. Neurocomputing 408 (2020)
Shu Jiang, Hai Zhao, Zuchao Li, Bao-Liang Lu
Document-level Neural Machine Translation with Document Embeddings. CoRR (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)
Wenrui Mu, Bao-Liang Lu
Examining Four Experimental Paradigms for EEG-Based Sleep Quality Evaluation with Domain Adaptation. EMBC (2020)
Chen-Li Yao, Bao-Liang Lu
A Robust Approach to Estimating Vigilance from EEG with Neural Processes. BIBM (2020)
Huangfei Jiang, Xiya Guan, Wei-Ye Zhao, Li-Ming Zhao, Bao-Liang Lu
Generating Multimodal Features for Emotion Classification from Eye Movement Signals. Aust. J. Intell. Inf. Process. Syst. 15 (3) (2019)
Shu Jiang, Rui Wang, Zuchao Li, Masao Utiyama, Kehai Chen, Eiichiro Sumita, Hai Zhao, Bao-Liang Lu
Document-level Neural Machine Translation with Inter-Sentence Attention. CoRR (2019)
Bo-Qun Ma, He Li, Yun Luo, Bao-Liang Lu
Depersonalized Cross-Subject Vigilance Estimation with Adversarial Domain Generalization. IJCNN (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)
Shu Jiang, Zhuosheng Zhang, Hai Zhao, Jiangtong Li, Yang Yang, Bao-Liang Lu, Ning Xia
Judging Chemical Reaction Practicality From Positive Sample only Learning. CoRR (2019)
Yun Luo, Li-Zhen Zhu, Bao-Liang Lu
A GAN-Based Data Augmentation Method for Multimodal Emotion Recognition. ISNN (1) (2019)
Jiang-Jian Guo, Rong Zhou, Li-Ming Zhao, Bao-Liang Lu
Multimodal Emotion Recognition from Eye Image, Eye Movement and EEG Using Deep Neural Networks. EMBC (2019)
Wei Liu, Jie-Lin Qiu, Wei-Long Zheng, Bao-Liang Lu
Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis. CoRR (2019)
Lu Gan, Wei Liu, Yun Luo, Xun Wu, Bao-Liang Lu
A Cross-Culture Study on Multimodal Emotion Recognition Using Deep Learning. ICONIP (4) (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)
Yini Deng, Yingying Jiao, Bao-Liang Lu
Driver Sleepiness Detection Using LSTM Neural Network. ICONIP (4) (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. ACM Multimedia (2018)
Rui Wang, Hai Zhao, Sabine Ploux, Bao-Liang Lu, Masao Utiyama, Eiichiro Sumita
Graph-Based Bilingual Word Embedding for Statistical Machine Translation. ACM Trans. Asian Low Resour. Lang. Inf. Process. 17 (4) (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)
Jie-Lin Qiu, Wei Liu, Bao-Liang Lu
Multi-view Emotion Recognition Using Deep Canonical Correlation Analysis. 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)

Bao-Liang Lu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Bao-Liang Lu