Bao-Liang Lu

发表

Faster Single Model Vigilance Detection Based on Deep Learning

Wei Wu, Wei Sun, Yimin Yang, 2021, IEEE Transactions on Cognitive and Developmental Systems.

Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs

Bao-Liang Lu, Hao Tang, Zhiao Huang, 2020, NeurIPS.

Multimodal Emotion Recognition Using Deep Generalized Canonical Correlation Analysis with an Attention Mechanism

Wei Liu, Bao-Liang Lu, Yu-Ting Lan, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Joint Semi-Supervised Feature Auto-Weighting and Classification Model for EEG-Based Cross-Subject Sleep Quality Evaluation

Yong Peng, Jianhai Zhang, Andrzej Cichocki, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

ICPR2006 Program Committee

Marc, Alfred Byun, Bao-Liang Lu, 2006, ICPR.

Multimodal Vigilance Estimation Using Deep Learning

Wei Wu, Wei Sun, Yimin Yang, 2020, IEEE Transactions on Cybernetics.

Generating Multimodal Features for Emotion Classification from Eye Movement Signals

Bao-Liang Lu, Huangfei Jiang, Xiya Guan, 2019, Aust. J. Intell. Inf. Process. Syst..

Converting general nonlinear programming problems into separable programming problems with feedforward neural networks

Bao-Liang Lu, Koji Ito, Koji Ito, 2003, Neural Networks.

Document-level Neural Machine Translation with Inter-Sentence Attention pdf

Masao Utiyama, Eiichiro Sumita, Kehai Chen, 2019, ArXiv.

Automated quality assessment of web pages from textual content

Hai Zhao, Bao-Liang Lu, Xiao-Lin Wang, 2012, 2012 International Conference on Machine Learning and Cybernetics.

Document-level Neural Machine Translation with Document Embeddings pdf

Hai Zhao, Shu Jiang, Bao-Liang Lu, 2020, ArXiv.

Discriminative extreme learning machine with supervised sparsity preserving for image classification

Yong Peng, Bao-Liang Lu, Bao-Liang Lu, 2017, Neurocomputing.

A Robust Approach to Estimating Vigilance from EEG with Neural Processes

Bao-Liang Lu, Chen-Li Yao, Bao-Liang Lu, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Data augmentation for enhancing EEG-based emotion recognition with deep generative models

Bao-Liang Lu, Yun Luo, Li-Zhen Zhu, 2020, Journal of neural engineering.

Emotion Recognition under Sleep Deprivation Using a Multimodal Residual LSTM Network

Bao-Liang Lu, Le-Yan Tao, Bao-Liang Lu, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Continuous Vigilance Estimation Using LSTM Neural Networks

Wei Liu, Nan Zhang, Bao-Liang Lu, 2016, ICONIP.

Investigating EEG-based functional connectivity patterns for multimodal emotion recognition pdf

Bao-Liang Lu, Wei-Long Zheng, Xun Wu, 2020, Journal of neural engineering.

Computation of Multiple Inverse Kinematic Solutions for Redundant Manipulators by Inverting Modular Neural Networks (特集:電気関係学会東海支部連合大会)

Bao-Liang Lu, 伊藤宏司, Bao-Liang Lu, 1995 .

Driver sleepiness detection from EEG and EOG signals using GAN and LSTM networks

Bao-Liang Lu, Yun Luo, Yingying Jiao, 2020, Neurocomputing.

Reducing the Subject Variability of EEG Signals with Adversarial Domain Generalization

He Li, Bao-Liang Lu, Wei-Long Zheng, 2019, ICONIP.

A Cross-Culture Study on Multimodal Emotion Recognition Using Deep Learning

Wei Liu, Bao-Liang Lu, Lu Gan, 2019, ICONIP.

Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous Graph Neural Networks pdf

Hao Su, Jiayuan Gu, Bao-Liang Lu, 2020, ArXiv.

Examining Four Experimental Paradigms for EEG-Based Sleep Quality Evaluation with Domain Adaptation

Bao-Liang Lu, Wenrui Mu, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

An Empirical Comparative Study on Two Large-Scale Hierarchical Text Classification Approaches

Hai Zhao, Liqing Zhang, Bao-Liang Lu, 2011, Int. J. Comput. Process. Orient. Lang..