Bao-Liang Lu

363 papers A* 29A 5B 42C 12Misc 13Journal 110Unranked 143
YearRankTypeTitle / 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
2026 J jnl
Online learning with a hedge-based random vector functional link network using multi-forgetting factors.
Neurocomputing
Xiang Liu, Yimin Wen, Hang Yu, Chuangquan Chen, Bao-Liang Lu
2026 J jnl
Prediction Consistency and Confidence-Based Proxy Domain Construction for Privacy-Preserving in Cross-Subject EEG Classification.
IEEE J. Biomed. Health Informatics
Yong Peng, Jiangchuan Liu, Honggang Liu, Natasha M. J. Padfield, Junhua Li, Wanzeng Kong, Bao-Liang Lu, Andrzej Cichocki
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 — 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 J jnl
Document-Level Neural Machine Translation With Document Embeddings.
IEEE Access
Linxing Zhu, Shu Jiang, Hai Zhao, Zuchao Li, Jiashuang Huang, Weiping Ding, Bao-Liang Lu
2025 J jnl
EEG-Based Emotion Monitoring and Regulation System by Learning the Discriminative Brain Network Manifold.
IEEE Trans. Neural Networks Learn. Syst.
Cunbo Li, Zehong Cao, Yue Pan, Pengcheng Zhu, Peiyang Li, Fali Li, Huafu Chen, Bao-Liang Lu, Feng Wan, Dezhong Yao, Peng Xu
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
LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-Based Emotion Recognition.
IEEE Trans. Affect. Comput.
Huan Liu, Shusen Yang, Yuzhe Zhang, Mengze Wang, Fanyu Gong, Chengxi Xie, Guanjian Liu, Zejun Liu, Yongjin Liu, Bao-Liang Lu, Dalin Zhang
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 A* conf
NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals.
ICLR
Weibang Jiang, Yansen Wang, Bao-Liang Lu, Dongsheng Li
2025 J jnl
Representation Learning and Foundation Models for Electroencephalography Analyses: Current trends, fundamental insights, and future directions.
IEEE Signal Process. Mag.
Zhe Sage Chen, Bao-Liang Lu, Wei Wu
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 J jnl
BatGPT-Chem: A Foundation Large Model For Retrosynthesis Prediction.
CoRR
Yifei Yang, Runhan Shi, Zuchao Li, Shu Jiang, Bao-Liang Lu, Yang Yang, Hai Zhao
2024 J jnl
Brain Network Manifold Learned by Cognition-Inspired Graph Embedding Model for Emotion Recognition.
IEEE Trans. Syst. Man Cybern. Syst.
Cunbo Li, Peiyang Li, Zhaojin Chen, Lei Yang, Fali Li, Feng Wan, Zehong Cao, Dezhong Yao, Bao-Liang Lu, Peng Xu
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 — 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 — conf
Improving Cross-Subject Emotion Recognition Performance with an Encoder-Decoder Structure.
EMBC
Haowei Cui, Hanwen Shi, Bao-Liang Lu, Wei-Long Zheng
2024 A* conf
Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI.
ICLR
Wei-Bang Jiang, Li-Ming Zhao, Bao-Liang Lu
2024 J jnl
Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI.
CoRR
Wei-Bang Jiang, Li-Ming Zhao, Bao-Liang Lu
2024 J jnl
Minimizing EEG Human Interference: A Study of an Adaptive EEG Spatial Feature Extraction With Deep Convolutional Neural Networks.
IEEE Trans. Cogn. Dev. Syst.
Haojin Deng, Shiqi Wang, Yimin Yang, W. G. Will Zhao, Hui Zhang, Ruizhong Wei, Q. M. Jonathan Wu, Bao-Liang Lu
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
NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals.
CoRR
Wei-Bang Jiang, Yansen Wang, Bao-Liang Lu, Dongsheng Li
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 A* conf
REmoNet: Reducing Emotional Label Noise via Multi-regularized Self-supervision.
ACM Multimedia
Wei-Bang Jiang, Yu-Ting Lan, Bao-Liang Lu
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 J jnl
Affective Brain-Computer Interfaces (aBCIs): A Tutorial.
Proc. IEEE
Dongrui Wu, Bao-Liang Lu, Bin Hu, Zhigang Zeng
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 J jnl
JGSED: An End-to-End Spectral Clustering Model for Joint Graph Construction, Spectral Embedding and Discretization.
IEEE Trans. Emerg. Top. Comput. Intell.
Yong Peng, Wenna Huang, Wanzeng Kong, Feiping Nie, Bao-Liang Lu
2023 J jnl
Joint EEG Feature Transfer and Semisupervised Cross-Subject Emotion Recognition.
IEEE Trans. Ind. Informatics
Yong Peng, Honggang Liu, Wanzeng Kong, Feiping Nie, Bao-Liang Lu, Andrzej Cichocki
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 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 J jnl
Two-Dimensional Embedded Fuzzy Data Clustering.
IEEE Trans. Emerg. Top. Comput. Intell.
Yong Peng, Keding Chen, Feiping Nie, Bao-Liang Lu, Wanzeng Kong
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 — conf
A Cross-modality Deep Learning Method for Measuring Decision Confidence from Eye Movement Signals.
EMBC
Cheng Fei, Rui Li, Li-Ming Zhao, Ziyi Li, 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
An Auto-Weighting Incremental Random Vector Functional Link Network for EEG-Based Driving Fatigue Detection.
IEEE Trans. Instrum. Meas.
Yikai Zhang, Ruiqi Guo, Yong Peng, Wanzeng Kong, Feiping Nie, 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 J jnl
Coupled Projection Transfer Metric Learning for Cross-Session Emotion Recognition from EEG.
Syst.
Fangyao Shen, Yong Peng, Guojun Dai, Bao-Liang Lu, Wanzeng Kong
2022 J jnl
Efficient Sample and Feature Importance Mining in Semi-Supervised EEG Emotion Recognition.
IEEE Trans. Circuits Syst. II Express Briefs
Xing Li, Fangyao Shen, Yong Peng, Wanzeng Kong, Bao-Liang Lu
2022 — conf
Exploring Sex Differences in Key Frequency Bands and Channel Connections for EEG-based Emotion Recognition.
EMBC
Ziyi Li, Luyu Liu, Yihui Zhu, 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 B conf
Increasing the Stability of EEG-based Emotion Recognition with a Variant of Neural Processes.
IJCNN
Yan-Kai Liu, Wei-Bang Jiang, Bao-Liang Lu
2022 J jnl
Joint Feature Adaptation and Graph Adaptive Label Propagation for Cross-Subject Emotion Recognition From EEG Signals.
IEEE Trans. Affect. Comput.
Yong Peng, Wenjuan Wang, Wanzeng Kong, Feiping Nie, Bao-Liang Lu, Andrzej Cichocki
2022 — conf
Measuring Decision Confidence Levels from EEG Using a Spectral-Spatial-Temporal Adaptive Graph Convolutional Neural Network.
ICONIP (5)
Rui Li, Yiting Wang, Bao-Liang Lu
2022 J jnl
Multi-Modal Domain Adaptation Variational Autoencoder for EEG-Based Emotion Recognition.
IEEE CAA J. Autom. Sinica
Yixin Wang, Shuang Qiu, Dan Li, Changde Du, Bao-Liang Lu, Huiguang He
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
S
IEEE Trans. Instrum. Meas.
Yong Peng, Yikai Zhang, Wanzeng Kong, Feiping Nie, Bao-Liang Lu, Andrzej Cichocki
2022 J jnl
Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progress Made Since 2016.
IEEE Trans. Cogn. Dev. Syst.
Dongrui Wu, Yifan Xu, Bao-Liang Lu
2022 J jnl
Tri-training for Dependency Parsing Domain Adaptation.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Shu Jiang, Zuchao Li, Hai Zhao, Bao-Liang Lu, Rui Wang
2021 — conf
A Cross-subject and Cross-modal Model for Multimodal Emotion Recognition.
ICONIP (6)
Jian-Ming Zhang, Xu Yan, Ziyi Li, Li-Ming Zhao, Yu-Zhong Liu, Hua-Liang Li, Bao-Liang Lu
2021 A* conf
A Multi-Domain Adaptive Graph Convolutional Network for EEG-based Emotion Recognition.
ACM Multimedia
Rui Li, Yiting Wang, Bao-Liang Lu
2021 — conf
A Novel Experiment Setting for Cross-subject Emotion Recognition.
EMBC
Hao-Yi Hu, Li-Ming Zhao, Yu-Zhong Liu, Hua-Liang Li, Bao-Liang Lu
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
2021 — conf
Discriminating Surprise and Anger from EEG and Eye Movements with a Graph Network.
BIBM
Wei-Bang Jiang, Li-Ming Zhao, Ping Guo, Bao-Liang Lu
2021 — conf
Discrimination of Decision Confidence Levels from EEG Signals.
NER
Rui Li, Le-Dian Liu, Bao-Liang Lu
2021 J jnl
Document-Level Neural Machine Translation with Associated Memory Network.
IEICE Trans. Inf. Syst.
Shu Jiang, Rui Wang, Zuchao Li, Masao Utiyama, Kehai Chen, Eiichiro Sumita, Hai Zhao, Bao-Liang Lu
2021 — conf
EEG-Based Human Decision Confidence Measurement Using Graph Neural Networks.
ICONIP (6)
Le-Dian Liu, Rui Li, Yu-Zhong Liu, Hua-Liang Li, Bao-Liang Lu
2021 — conf
Emotion Transformer Fusion: Complementary Representation Properties of EEG and Eye Movements on Recognizing Anger and Surprise.
BIBM
Yiting Wang, Wei-Bang Jiang, Rui Li, Bao-Liang Lu
2021 J jnl
Faster Single Model Vigilance Detection Based on Deep Learning.
IEEE Trans. Cogn. Dev. Syst.
Wei Wu, Wei Sun, Q. M. Jonathan Wu, Cheng Zhang, Yimin Yang, Hongshan Yu, Bao-Liang Lu
2021 — conf
Measuring Human Decision Confidence from EEG Signals in an Object Detection Task.
NER
Rui Li, Le-Dian Liu, Bao-Liang Lu
2021 — conf
Multimodal Emotion Recognition Using a Modified Dense Co-Attention Symmetric Network.
NER
Zhi-Wei Zhao, Wei Liu, Bao-Liang Lu
2021 A* conf
Plug-and-Play Domain Adaptation for Cross-Subject EEG-based Emotion Recognition.
AAAI
Li-Ming Zhao, Xu Yan, Bao-Liang Lu
2021 J jnl
Self-Weighted Semi-Supervised Classification for Joint EEG-Based Emotion Recognition and Affective Activation Patterns Mining.
IEEE Trans. Instrum. Meas.
Yong Peng, Wanzeng Kong, Feiwei Qin, Feiping Nie, Jinglong Fang, Bao-Liang Lu, Andrzej Cichocki
2021 — conf
Sex Difference in Emotion Recognition under Sleep Deprivation: Evidence from EEG and Eye-tracking.
EMBC
Rui-Xiao Ma, Xu Yan, Yu-Zhong Liu, Hua-Liang Li, Bao-Liang Lu
2021 A* conf
Simplifying Multimodal Emotion Recognition with Single Eye Movement Modality.
ACM Multimedia
Xu Yan, Li-Ming Zhao, Bao-Liang Lu
2021 — conf
Wasserstein-Distance-Based Multi-Source Adversarial Domain Adaptation for Emotion Recognition and Vigilance Estimation.
BIBM
Yun Luo, Bao-Liang Lu
2021 J jnl
When SMILES Smiles, Practicality Judgment and Yield Prediction of Chemical Reaction via Deep Chemical Language Processing.
IEEE Access
Shu Jiang, Zhuosheng Zhang, Hai Zhao, Jiangtong Li, Yang Yang, Bao-Liang Lu, Ning Xia
2020 — conf
A Robust Approach to Estimating Vigilance from EEG with Neural Processes.
BIBM
Chen-Li Yao, Bao-Liang Lu
2020 J jnl
Data Augmentation for Enhancing EEG-based Emotion Recognition with Deep Generative Models.
CoRR
Yun Luo, Lizhen Zhu, Zi-Yu Wan, Bao-Liang Lu
2020 J jnl
Document-level Neural Machine Translation with Document Embeddings.
CoRR
Shu Jiang, Hai Zhao, Zuchao Li, Bao-Liang Lu
2020 J jnl
Driver sleepiness detection from EEG and EOG signals using GAN and LSTM networks.
Neurocomputing
Yingying Jiao, Yini Deng, Yun Luo, Bao-Liang Lu
2020 B conf
Emotion Recognition under Sleep Deprivation Using a Multimodal Residual LSTM Network.
IJCNN
Le-Yan Tao, Bao-Liang Lu
2020 — conf
Examining Four Experimental Paradigms for EEG-Based Sleep Quality Evaluation with Domain Adaptation.
EMBC
Wenrui Mu, Bao-Liang Lu
2020 J jnl
Investigating EEG-Based Functional Connectivity Patterns for Multimodal Emotion Recognition.
CoRR
Xun Wu, Wei-Long Zheng, Bao-Liang Lu
2020 Misc conf
Joint Semi-Supervised Feature Auto-Weighting and Classification Model for EEG-Based Cross-Subject Sleep Quality Evaluation.
ICASSP
Yong Peng, Qingxi Li, Wanzeng Kong, Jianhai Zhang, Bao-Liang Lu, Andrzej Cichocki
2020 B conf
Multimodal Emotion Recognition Using Deep Generalized Canonical Correlation Analysis with an Attention Mechanism.
IJCNN
Yu-Ting Lan, Wei Liu, Bao-Liang Lu
2020 A* conf
Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs.
NeurIPS
Hao Tang, Zhiao Huang, Jiayuan Gu, Bao-Liang Lu, Hao Su
2020 J jnl
Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous Graph Neural Networks.
CoRR
Hao Tang, Zhiao Huang, Jiayuan Gu, Bao-Liang Lu, Hao Su
2020 J jnl
Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progresses Since 2016.
CoRR
Dongrui Wu, Yifan Xu, 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 — conf
A Cross-Culture Study on Multimodal Emotion Recognition Using Deep Learning.
ICONIP (4)
Lu Gan, Wei Liu, Yun Luo, Xun Wu, Bao-Liang Lu
2019 — conf
A GAN-Based Data Augmentation Method for Multimodal Emotion Recognition.
ISNN (1)
Yun Luo, Lizhen Zhu, Bao-Liang Lu
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 B conf
Depersonalized Cross-Subject Vigilance Estimation with Adversarial Domain Generalization.
IJCNN
Bo-Qun Ma, He Li, Yun Luo, Bao-Liang Lu
2019 J jnl
Document-level Neural Machine Translation with Inter-Sentence Attention.
CoRR
Shu Jiang, Rui Wang, Zuchao Li, Masao Utiyama, Kehai Chen, Eiichiro Sumita, Hai Zhao, 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 J jnl
Generating Multimodal Features for Emotion Classification from Eye Movement Signals.
Aust. J. Intell. Inf. Process. Syst.
Huangfei Jiang, Xiya Guan, Wei-Ye Zhao, Li-Ming Zhao, Bao-Liang Lu
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
Judging Chemical Reaction Practicality From Positive Sample only Learning.
CoRR
Shu Jiang, Zhuosheng Zhang, Hai Zhao, Jiangtong Li, Yang Yang, Bao-Liang Lu, Ning Xia
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
Multimodal Emotion Recognition from Eye Image, Eye Movement and EEG Using Deep Neural Networks.
EMBC
Jiang-Jian Guo, Rong Zhou, Li-Ming Zhao, 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 — conf
Driver Sleepiness Detection Using LSTM Neural Network.
ICONIP (4)
Yini Deng, Yingying Jiao, 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 J jnl
Graph-Based Bilingual Word Embedding for Statistical Machine Translation.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Rui Wang, Hai Zhao, Sabine Ploux, Bao-Liang Lu, Masao Utiyama, Eiichiro Sumita
2018 — conf
Multi-view Emotion Recognition Using Deep Canonical Correlation Analysis.
ICONIP (5)
Jie-Lin Qiu, Wei Liu, 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
An alpha wave pattern from attenuation to disappearance for predicting the entry into sleep during simulated driving.
NER
Yingying Jiao, 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 J jnl
Bootstrapping integrative hypothesis test for identifying biomarkers that differentiates lung cancer and chronic obstructive pulmonary disease.
Neurocomputing
Kai-Ming Jiang, Ya-Jing Chen, Jin-Xiong Lv, Bao-Liang Lu, Lei Xu
2017 — conf
Detecting driver sleepiness from EEG alpha wave during daytime driving.
BIBM
Yingying Jiao, 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 J jnl
Discriminative extreme learning machine with supervised sparsity preserving for image classification.
Neurocomputing
Yong Peng, 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
Robust structured sparse representation via half-quadratic optimization for face recognition.
Multim. Tools Appl.
Yong Peng, 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 A* conf
A Bilingual Graph-Based Semantic Model for Statistical Machine Translation.
IJCAI
Rui Wang, Hai Zhao, Sabine Ploux, Bao-Liang Lu, Masao Utiyama
2016 J jnl
A Multimodal Approach to Estimating Vigilance Using EEG and Forehead EOG.
CoRR
Wei-Long Zheng, Bao-Liang Lu
2016 J jnl
A Novel Bilingual Word Embedding Method for Lexical Translation Using Bilingual Sense Clique.
CoRR
Rui Wang, Hai Zhao, Sabine Ploux, Bao-Liang Lu, Masao Utiyama
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 B conf
Connecting Phrase based Statistical Machine Translation Adaptation.
COLING
Rui Wang, Hai Zhao, Bao-Liang Lu, Masao Utiyama, Eiichiro Sumita
2016 J jnl
Connecting Phrase based Statistical Machine Translation Adaptation.
CoRR
Rui Wang, Hai Zhao, Bao-Liang Lu, Masao Utiyama, Eiichiro Sumita
2016 — conf
Continuous Vigilance Estimation Using LSTM Neural Networks.
ICONIP (2)
Nan Zhang, Wei-Long Zheng, Wei Liu, Bao-Liang Lu
2016 J jnl
Converting Continuous-Space Language Models into
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Rui Wang, Masao Utiyama, Isao Goto, Eiichiro Sumita, Hai Zhao, Bao-Liang Lu
2016 — conf
Detecting slow eye movement for recognizing driver's sleep onset period with EEG features.
EMBC
Yingying Jiao, Bao-Liang Lu
2016 J jnl
Discriminative manifold extreme learning machine and applications to image and EEG signal classification.
Neurocomputing
Yong Peng, 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
On the Reducibility of Submodular Functions.
AISTATS
Jincheng Mei, Hao Zhang, Bao-Liang Lu
2016 J jnl
On the Reducibility of Submodular Functions.
CoRR
Jincheng Mei, Hao Zhang, 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 J jnl
Bilingual Continuous-Space Language Model Growing for Statistical Machine Translation.
IEEE ACM Trans. Audio Speech Lang. Process.
Rui Wang, Hai Zhao, Bao-Liang Lu, Masao Utiyama, Eiichiro Sumita
2015 — conf
Bootstrapped Integrative Hypothesis Test, COPD-Lung Cancer Differentiation, and Joint miRNAs Biomarkers.
IScIDE (2)
Kai-Ming Jiang, Bao-Liang Lu, Lei Xu
2015 A* conf
Combining Eye Movements and EEG to Enhance Emotion Recognition.
IJCAI
Yifei Lu, Wei-Long Zheng, Binbin Li, Bao-Liang Lu
2015 J jnl
Discriminative graph regularized extreme learning machine and its application to face recognition.
Neurocomputing
Yong Peng, Suhang Wang, Xianzhong Long, Bao-Liang Lu
2015 A conf
Distance Preserving Marginal Hashing for image retrieval.
ICME
Li Wu, Kang Zhao, Hongtao Lu, Zhen Wei, Bao-Liang Lu
2015 C conf
English to Chinese Translation: How Chinese Character Matters.
PACLIC
Rui Wang, Hai Zhao, Bao-Liang Lu
2015 J jnl
Enhanced low-rank representation via sparse manifold adaption for semi-supervised learning.
Neural Networks
Yong Peng, Bao-Liang Lu, Suhang Wang
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
Graph Based Semi-Supervised Learning via Structure Preserving Low-Rank Representation.
Neural Process. Lett.
Yong Peng, Xianzhong Long, Bao-Liang Lu
2015 A conf
Graph regularized non-negative local coordinate factorization with pairwise constraints for image representation.
ICME
Yangcheng He, Hongtao Lu, Bao-Liang Lu
2015 J jnl
Hybrid learning clonal selection algorithm.
Inf. Sci.
Yong Peng, Bao-Liang Lu
2015 — conf
Intensity-Depth Face Alignment Using Cascade Shape Regression.
ICONIP (4)
Yang Cao, 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 J jnl
Large-Scale Nyström Kernel Matrix Approximation Using Randomized SVD.
IEEE Trans. Neural Networks Learn. Syst.
Mu Li, Wei Bi, James T. Kwok, Bao-Liang Lu
2015 A* conf
On Unconstrained Quasi-Submodular Function Optimization.
AAAI
Jincheng Mei, Kang Zhao, 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
Robust group sparse representation via half-quadratic optimization for face recognition.
CCECE
Yong Peng, 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 J jnl
A Meta-Top-Down Method for Large-Scale Hierarchical Classification.
IEEE Trans. Knowl. Data Eng.
Xiaolin Wang, Hai Zhao, Bao-Liang Lu
2014 J jnl
An integrated Gaussian mixture model to estimate vigilance level based on EEG recordings.
Neurocomputing
Jing-Nan Gu, Hongtao Lu, 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 J jnl
Emotional state classification from EEG data using machine learning approach.
Neurocomputing
Xiao-Wei Wang, Dan Nie, Bao-Liang Lu
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 A* conf
Neural Network Based Bilingual Language Model Growing for Statistical Machine Translation.
EMNLP
Rui Wang, Hai Zhao, Bao-Liang Lu, Masao Utiyama, Eiichiro Sumita
2014 — conf
Online Object Tracking Based on Depth Image with Sparse Coding.
ICONIP (3)
Shan-Chun Shen, Wei-Long Zheng, Bao-Liang Lu
2014 J jnl
Parallelized extreme learning machine ensemble based on min-max modular network.
Neurocomputing
Xiaolin Wang, Yangyang Chen, Hai Zhao, Bao-Liang Lu
2014 B conf
Recognizing slow eye movement for driver fatigue detection with machine learning approach.
IJCNN
Yingying Jiao, Yong Peng, Bao-Liang Lu, Xiaoping Chen, Shanguang Chen, Chunhui Wang
2014 — conf
Saliency Level Set Evolution.
ICONIP (2)
Jincheng Mei, Bao-Liang Lu
2014 J jnl
Unconstrained Quasi-Submodular Function Optimization.
CoRR
Jincheng Mei, Kang Zhao, Bao-Liang Lu
2013 J jnl
A hierarchical particle swarm optimizer with latin sampling based memetic algorithm for numerical optimization.
Appl. Soft Comput.
Yong Peng, Bao-Liang Lu
2013 — conf
A robust principal component analysis algorithm for EEG-based vigilance estimation.
EMBC
Li-Chen Shi, Ruo-Nan Duan, Bao-Liang Lu
2013 — conf
An Empirical Study on Word Segmentation for Chinese Machine Translation.
CICLing (2)
Hai Zhao, Masao Utiyama, Eiichiro Sumita, Bao-Liang Lu
2013 — conf
BCMI-NLP Labeled-Alignment-Based Entailment System for NTCIR-10 RITE-2 Task.
NTCIR
Xiaolin Wang, Hai Zhao, Bao-Liang Lu
2013 A* conf
Converting Continuous-Space Language Models into N-Gram Language Models for Statistical Machine Translation.
EMNLP
Rui Wang, Masao Utiyama, Isao Goto, Eiichiro Sumita, Hai Zhao, Bao-Liang Lu
2013 — conf
Detection of Driving Fatigue Based on Grip Force on Steering Wheel with Wavelet Transformation and Support Vector Machine.
ICONIP (3)
Fan Li, Xiao-Wei Wang, Bao-Liang Lu
2013 — conf
Differential entropy feature for EEG-based vigilance estimation.
EMBC
Li-Chen Shi, Yingying Jiao, Bao-Liang Lu
2013 J jnl
EEG-based vigilance estimation using extreme learning machines.
Neurocomputing
Li-Chen Shi, Bao-Liang Lu
2013 B conf
Labeled Alignment for Recognizing Textual Entailment.
IJCNLP
Xiaolin Wang, Hai Zhao, Bao-Liang Lu
2013 — conf
Marginalized Denoising Autoencoder via Graph Regularization for Domain Adaptation.
ICONIP (2)
Yong Peng, Shen Wang, Bao-Liang Lu
2013 — conf
Real-Time Head Detection with Kinect for Driving Fatigue Detection.
ICONIP (3)
Yang Cao, Bao-Liang Lu
2013 — conf
Structure Preserving Low-Rank Representation for Semi-supervised Face Recognition.
ICONIP (2)
Yong Peng, Suhang Wang, Shen Wang, Bao-Liang Lu
2012 Misc conf
Automated quality assessment of web pages from textual content.
ICMLC
Xiaolin Wang, Hai Zhao, Bao-Liang Lu
2012 J jnl
Computational Intelligence in Biomedical Science and Engineering.
Comput. Intell. Neurosci.
Yen-Wei Chen, Ikuko Nishikawa, Shinichi Tamura, Bao-Liang Lu, Huiyan Jiang
2012 — conf
EEG-Based Emotion Recognition in Listening Music by Using Support Vector Machine and Linear Dynamic System.
ICONIP (4)
Ruo-Nan Duan, Xiao-Wei Wang, Bao-Liang Lu
2012 — conf
EEG-Based Fatigue Classification by Using Parallel Hidden Markov Model and Pattern Classifier Combination.
ICONIP (4)
Hui Sun, Bao-Liang Lu
2012 J jnl
Gender classification by combining clothing, hair and facial component classifiers.
Neurocomputing
Bing Li, Xiao-Chen Lian, Bao-Liang Lu
2012 — conf
Immune clonal algorithm based feature selection for epileptic EEG signal classification.
ISSPA
Yong Peng, Bao-Liang Lu
2012 J jnl
Multi-view gender classification using symmetry of facial images.
Neural Comput. Appl.
Tian-Xiang Wu, Xiao-Chen Lian, Bao-Liang Lu
2012 — conf
Online Vigilance Analysis Combining Video and Electrooculography Features.
ICONIP (5)
Ruofei Du, Ren-Jie Liu, Tian-Xiang Wu, Bao-Liang Lu
2012 B conf
Online vigilance analysis based on electrooculography.
IJCNN
Zheng-Ping Wei, Bao-Liang Lu
2012 B conf
Parallel learning of large-scale multi-label classification problems with min-max modular LIBLINEAR.
IJCNN
Yangyang Chen, Bao-Liang Lu, Hai Zhao
2012 B conf
Spell Checking for Chinese.
LREC
Shaohua Yang, Hai Zhao, Xiaolin Wang, Bao-Liang Lu
2012 C conf
Towards a Semantic Annotation of English Television News - Building and Evaluating a Constraint Grammar FrameNet.
PACLIC
Shaohua Yang, Hai Zhao, Bao-Liang Lu
2011 — conf
A Sparse Common Spatial Pattern Algorithm for Brain-Computer Interface.
ICONIP (1)
Li-Chen Shi, Yang Li, Rui-Hua Sun, Bao-Liang Lu
2011 — conf
A novel method for EOG features extraction from the forehead.
EMBC
Hao-Yu Cai, Jia-Xin Ma, Li-Chen Shi, Bao-Liang Lu
2011 J jnl
A support vector machine classifier with automatic confidence and its application to gender classification.
Neurocomputing
Ji Zheng, Bao-Liang Lu
2011 J jnl
An Empirical Comparative Study on Two Large-Scale Hierarchical Text Classification Approaches.
Int. J. Comput. Process. Orient. Lang.
Jian Zhang, Hai Zhao, Liqing Zhang, Bao-Liang Lu
2011 — conf
An Integrated Hierarchical Gaussian Mixture Model to Estimate Vigilance Level Based on EEG Recordings.
ICONIP (1)
Jing-Nan Gu, Hongjun Liu, Hongtao Lu, Bao-Liang Lu
2011 — conf
EEG-Based Emotion Recognition Using Frequency Domain Features and Support Vector Machines.
ICONIP (1)
Xiao-Wei Wang, Dan Nie, Bao-Liang Lu
2011 B conf
Enhance Top-down method with Meta-Classification for Very Large-scale Hierarchical Classification.
IJCNLP
Xiaolin Wang, Hai Zhao, Bao-Liang Lu
2011 — conf
Evidence of rapid gender processing revealed by ERSP.
EMBC
Zhong-Lei Gu, Li-Chen Shi, Bao-Liang Lu
2011 — conf
GeoTime Retrieval through Passage-based Learning to Rank.
NTCIR
Xiaolin Wang, Hai Zhao, Bao-Liang Lu
2011 J jnl
Incorporating cellular sorting structure for better prediction of protein subcellular locations.
J. Exp. Theor. Artif. Intell.
Wen-Yun Yang, Bao-Liang Lu, James T. Kwok
2011 — ed.
Neural Information Processing - 18th International Conference, ICONIP 2011, Shanghai, China, November 13-17, 2011, Proceedings, Part I
ICONIP (1)
Bao-Liang Lu, Liqing Zhang, James T. Kwok
2011 — ed.
Neural Information Processing - 18th International Conference, ICONIP 2011, Shanghai, China, November 13-17, 2011, Proceedings, Part II
ICONIP (2)
Bao-Liang Lu, Liqing Zhang, James T. Kwok
2011 — ed.
Neural Information Processing - 18th International Conference, ICONIP 2011, Shanghai, China, November 13-17, 2011, Proceedings, Part III
ICONIP (3)
Bao-Liang Lu, Liqing Zhang, James T. Kwok
2011 A* conf
Rank-SIFT: Learning to rank repeatable local interest points.
CVPR
Bing Li, Rong Xiao, Zhiwei Li, Rui Cai, Bao-Liang Lu, Lei Zhang
2011 — conf
Redundancy Removal to Selectively Diversify Information Retrieval Results.
NTCIR
Xiaolin Wang, Hai Zhao, Bao-Liang Lu
2011 — conf
Removing Unrelated Features Based on Linear Dynamical System for Motor-Imagery-Based Brain-Computer Interface.
ICONIP (1)
Jie Wu, Li-Chen Shi, Bao-Liang Lu
2011 A* conf
Time and space efficient spectral clustering via column sampling.
CVPR
Mu Li, Xiao-Chen Lian, James T. Kwok, Bao-Liang Lu
2010 J jnl
A Unified Character-Based Tagging Framework for Chinese Word Segmentation.
ACM Trans. Asian Lang. Inf. Process.
Hai Zhao, Changning Huang, Mu Li, Bao-Liang Lu
2010 Misc conf
A comparative study on two large-scale hierarchical text classification tasks' solutions.
ICMLC
Jian Zhang, Hai Zhao, Bao-Liang Lu
2010 — conf
Adaptive Ensemble Learning Strategy Using an Assistant Classifier for Large-Scale Imbalanced Patent Categorization.
ICONIP (1)
Qi Kong, Hai Zhao, Bao-Liang Lu
2010 — ed.
Advances in Neural Networks - ISNN 2010, 7th International Symposium on Neural Networks, ISNN 2010, Shanghai, China, June 6-9, 2010, Proceedings, Part I
ISNN (1)
Liqing Zhang, Bao-Liang Lu, James Tin-Yau Kwok
2010 — ed.
Advances in Neural Networks - ISNN 2010, 7th International Symposium on Neural Networks, ISNN 2010, Shanghai, China, June 6-9, 2010, Proceedings, Part II
ISNN (2)
Liqing Zhang, Bao-Liang Lu, James Tin-Yau Kwok
2010 — conf
Age Classification Combining Contour and Texture Feature.
ICONIP (2)
Yan-Ming Tang, Bao-Liang Lu
2010 — conf
An Empirical Study on Development Set Selection Strategy for Machine Translation Learning.
WMT@ACL
Cong Hui, Hai Zhao, Bao-Liang Lu, Yan Song
2010 — conf
Dependency Parser for Chinese Constituent Parsing.
CIPS-SIGHAN
Xuezhe Ma, Xiaotian Zhang, Hai Zhao, Bao-Liang Lu
2010 — conf
Flatten hierarchies for large-scale hierarchical text categorization.
ICDIM
Xiaolin Wang, Bao-Liang Lu
2010 — conf
Hedge Detection and Scope Finding by Sequence Labeling with Procedural Feature Selection.
CoNLL Shared Task
Shaodian Zhang, Hai Zhao, Guodong Zhou, Bao-Liang Lu
2010 A* conf
Making Large-Scale Nyström Approximation Possible.
ICML
Mu Li, James T. Kwok, Bao-Liang Lu
2010 — conf
Max-Margin Dictionary Learning for Multiclass Image Categorization.
ECCV (4)
Xiao-Chen Lian, Zhiwei Li, Bao-Liang Lu, Lei Zhang
2010 J jnl
Modeling and Adaptive Control with Fuzzy Neural Networks - Selected Papers from the 6th International Symposium on Neural Networks.
Neurocomputing
Wen Yu, Bao-Liang Lu
2010 — conf
Multi-view Gender Classification Using Hierarchical Classifiers Structure.
ICONIP (2)
Tian-Xiang Wu, Bao-Liang Lu
2010 — conf
Multiple Strategies for NTCIR-8 Patent Mining at BCMI.
NTCIR
Gang Jin, Qi Kong, Jian Zhang, Xiaolin Wang, Cong Hui, Hai Zhao, Bao-Liang Lu
2010 A* conf
Online multiple instance learning with no regret.
CVPR
Mu Li, James T. Kwok, Bao-Liang Lu
2010 A* conf
Probabilistic models for supervised dictionary learning.
CVPR
Xiao-Chen Lian, Zhiwei Li, Changhu Wang, Bao-Liang Lu, Lei Zhang
2010 J jnl
Protein Subcellular Multi-Localization Prediction Using a Min-Max Modular Support Vector Machine.
Int. J. Neural Syst.
Yang Yang, Bao-Liang Lu
2010 — conf
Pruning Training Samples Using a Supervised Clustering Algorithm.
ISNN (2)
Minzhang Huang, Hai Zhao, Bao-Liang Lu
2010 C conf
Selecting Optimal Orientations of Gabor Wavelet Filters for Facial Image Analysis.
ICISP
Tianqi Zhang, Bao-Liang Lu
2010 A conf
Spectral and Semidefinite Relaxation of the CLUHSIC Algorithm.
SDM
Wen-Yun Yang, James T. Kwok, Bao-Liang Lu
2009 J jnl
An adaptive image Euclidean distance.
Pattern Recognit.
Jing Li, Bao-Liang Lu
2009 J jnl
Combining Feature Selection with Extraction: Unsupervised Feature Selection Based on Principal Component Analysis.
Int. J. Artif. Intell. Tools
Yun Li, Bao-Liang Lu, Tengfei Zhang
2009 J jnl
Computational prediction of novel non-coding RNAs in
BMC Bioinform.
Dandan Song, Yang Yang, Bin Yu, Binglian Zheng, Zhidong Deng, Bao-Liang Lu, Xuemei Chen, Tao Jiang
2009 C conf
Extracting Keyphrases from Chinese News Articles Using TextRank and Query Log Knowledge.
PACLIC
Weiming Liang, Changning Huang, Mu Li, Bao-Liang Lu
2009 J jnl
Feature selection based on loss-margin of nearest neighbor classification.
Pattern Recognit.
Yun Li, Bao-Liang Lu
2009 — conf
Gender Classification Based on Support Vector Machine with Automatic Confidence.
ICONIP (1)
Zheng Ji, Bao-Liang Lu
2009 — conf
Incorporating Prior Knowledge into Task Decomposition for Large-Scale Patent Classification.
ISNN (2)
Chao Ma, Bao-Liang Lu, Masao Utiyama
2009 J jnl
Incorporating prior knowledge into learning by dividing training data.
Frontiers Comput. Sci. China
Bao-Liang Lu, Xiaolin Wang, Masao Utiyama
2009 C conf
LogisticLDA: Regularizing Latent Dirichlet Allocation by Logistic Regression.
PACLIC
Jia-Cheng Guo, Bao-Liang Lu, Zhiwei Li, Lei Zhang
2009 C conf
Module Combination based on Decision Tree in Min-max Modular Network.
IJCCI
Yue Wang, Bao-Liang Lu, Zhi-Fei Ye
2008 — conf
A Refinement Framework for Cross Language Text Categorization.
AIRS
Ke Wu, Bao-Liang Lu
2008 J jnl
An empirical comparison of min-max-modular
Soft Comput.
Ke Wu, Bao-Liang Lu, Masao Utiyama, Hitoshi Isahara
2008 B conf
Classification of Protein Sequences Based on Word Segmentation Methods.
APBC
Yang Yang, Bao-Liang Lu, Wen-Yun Yang
2008 B conf
Cross Language Text Categorization Using a Bilingual Lexicon.
IJCNLP
Ke Wu, Xiaolin Wang, Bao-Liang Lu
2008 — conf
Detecting Drowsiness in Driving Simulation Based on EEG.
SJTU-TUB Joint Workshop
Jia-Wei Fu, Mu Li, Bao-Liang Lu
2008 — conf
Gender Classification by Combining Facial and Hair Information.
ICONIP (2)
Xiao-Chen Lian, Bao-Liang Lu
2008 B conf
Large-scale patent classification with min-max modular support vector machines.
IJCNN
Xiao-Lei Chu, Chao Ma, Jing Li, Bao-Liang Lu, Masao Utiyama, Hitoshi Isahara
2008 B conf
Multi-view gender classification based on local Gabor binary mapping pattern and support vector machines.
IJCNN
Bin Xia, He Sun, Bao-Liang Lu
2008 — conf
Patent Classification Using Parallel Min-Max Modular Support Vector Machine.
SJTU-TUB Joint Workshop
Zhi-Fei Ye, Bao-Liang Lu, Cong Hui
2008 B conf
Semantic Similarity Definition over Gene Ontology by Further Mining of the Information Content.
APBC
Yuan-Peng Li, Bao-Liang Lu
2008 B conf
String Kernels with Feature Selection for SVM Protein Classification.
APBC
Wen-Yun Yang, Bao-Liang Lu
2007 — conf
A Confident Majority Voting Strategy for Parallel and Modular Support Vector Machines.
ISNN (3)
Yimin Wen, Bao-Liang Lu
2007 — conf
A Framework for Multi-view Gender Classification.
ICONIP (1)
Jing Li, Bao-Liang Lu
2007 — ch.
A Min-Max Modular Network with Gaussian-Zero-Crossing Function.
Trends in Neural Computation
Bao-Liang Lu, Jing Li
2007 — conf
A Probabilistic Approach to Feature Selection for Multi-class Text Categorization.
ISNN (1)
Ke Wu, Bao-Liang Lu, Masao Uchiyama, Hitoshi Isahara
2007 B conf
Cross-Lingual Document Clustering.
PAKDD
Ke Wu, Bao-Liang Lu
2007 — conf
Feature Selection for Identifying Critical Variables of Principal Components Based on K-Nearest Neighbor Rule.
VISUAL
Yun Li, Bao-Liang Lu
2007 J jnl
Hierarchical fuzzy filter method for unsupervised feature selection.
J. Intell. Fuzzy Syst.
Yun Li, Bao-Liang Lu, Zhong-Fu Wu
2007 — conf
Incorporating Domain Knowledge into a Min-Max Modular Support Vector Machine for Protein Subcellular Localization.
ICONIP (2)
Yang Yang, Bao-Liang Lu
2007 B conf
Incremental Learning of Support Vector Machines by Classifier Combining.
PAKDD
Yimin Wen, Bao-Liang Lu
2007 B conf
Learning Concepts from Large-Scale Data Sets by Pairwise Coupling with Probabilistic Outputs.
IJCNN
Feng Zhou, Bao-Liang Lu
2007 B conf
Learning Imbalanced Data Sets with a Min-Max Modular Support Vector Machine.
IJCNN
Zhi-Fei Ye, Bao-Liang Lu
2007 J jnl
Multi-View Gender Classification Using Multi-Resolution Local Binary Patterns and Support Vector Machines.
Int. J. Neural Syst.
Hui-Cheng Lian, Bao-Liang Lu
2007 — conf
Person-Specific SIFT Features for Face Recognition.
ICASSP (2)
Jun Luo, Yong Ma, Erina Takikawa, Shihong Lao, Masato Kawade, Bao-Liang Lu
2007 B conf
Semi-Supervised Clustering for Vigilance Analysis Based on EEG.
IJCNN
Li-Chen Shi, Hong Yu, Bao-Liang Lu
2006 C conf
A Comparative Study on Feature Extraction from Protein Sequences for Subcellular Localization Prediction.
CIBCB
Wen-Yun Yang, Bao-Liang Lu, Yang Yang
2006 — conf
A Hybrid Method of Unsupervised Feature Selection Based on Ranking.
ICPR (2)
Yun Li, Bao-Liang Lu, Zhong-Fu Wu
2006 — conf
A Modular Reduction Method for
ISNN (1)
Hai Zhao, Bao-Liang Lu
2006 B conf
A New Supervised Clustering Algorithm Based on Min-Max Modular Network with Gaussian-Zero-Crossing Functions.
IJCNN
Jing Li, Bao-Liang Lu
2006 — ed.
Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part I
ISNN (1)
Jun Wang, Zhang Yi, Jacek M. Zurada, Bao-Liang Lu, Hujun Yin
2006 — ed.
Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part II
ISNN (2)
Jun Wang, Zhang Yi, Jacek M. Zurada, Bao-Liang Lu, Hujun Yin
2006 — ed.
Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part III
ISNN (3)
Jun Wang, Zhang Yi, Jacek M. Zurada, Bao-Liang Lu, Hujun Yin
2006 C conf
Effective Tag Set Selection in Chinese Word Segmentation via Conditional Random Field Modeling.
PACLIC
Hai Zhao, Changning Huang, Mu Li, Bao-Liang Lu
2006 B conf
Efficient Classification of Multi-label and Imbalanced Data using Min-Max Modular Classifiers.
IJCNN
Ken Chen, Bao-Liang Lu, James T. Kwok
2006 — conf
Fast Learning for Statistical Face Detection.
ICONIP (2)
Zhi-Gang Fan, Bao-Liang Lu
2006 — conf
Gender Recognition Using a Min-Max Modular Support Vector Machine with Equal Clustering.
ISNN (2)
Jun Luo, Bao-Liang Lu
2006 — conf
Multi-view Gender Classification Using Local Binary Patterns and Support Vector Machines.
ISNN (2)
Hui-Cheng Lian, Bao-Liang Lu
2006 — conf
Prediction of Protein Subcellular Multi-locations with a Min-Max Modular Support Vector Machine.
ISNN (2)
Yang Yang, Bao-Liang Lu
2005 — conf
A General Procedure for Combining Binary Classifiers and Its Performance Analysis.
ICNC (1)
Hai Zhao, Bao-Liang Lu
2005 — conf
A Hierarchical and Parallel Method for Training Support Vector Machines.
ISNN (1)
Yimin Wen, Bao-Liang Lu
2005 — conf
An Algorithm for Pruning Redundant Modules in Min-Max Modular Network with GZC Function.
ICNC (1)
Jing Li, Bao-Liang Lu, Michinori Ichikawa
2005 B conf
An algorithm for pruning redundant modules in min-ma modular network [min-ma read min-max].
IJCNN
Hui-Cheng Lian, Bao-Liang Lu
2005 C conf
Extracting Features from Protein Sequences Using Chinese Segmentation Techniques for Subcellular Localization.
CIBCB
Yang Yang, Bao-Liang Lu
2005 A* conf
Fast Recognition of Multi-View Faces with Feature Selection.
ICCV
Zhi-Gang Fan, Bao-Liang Lu
2005 B conf
Fast text categorization with min-max modular support vector machines.
IJCNN
Feng-Yao Liu, Ke Wu, Hai Zhao, Bao-Liang Lu
2005 — conf
Gender Recognition Using a Min-Max Modular Support Vector Machine.
ICNC (2)
Hui-Cheng Lian, Bao-Liang Lu, Erina Takikawa, Satoshi Hosoi
2005 — conf
Improvement on Response Performance of Min-Max Modular Classifier by Symmetric Module Selection.
ISNN (2)
Hai Zhao, Bao-Liang Lu
2005 — conf
Multi-view Face Recognition with Min-Max Modular SVMs.
ICNC (2)
Zhi-Gang Fan, Bao-Liang Lu
2005 B conf
On efficient selection of binary classifiers for min-max modular classifier.
IJCNN
Hai Zhao, Bao-Liang Lu
2005 — conf
Structure Pruning Strategies for Min-Max Modular Network.
ISNN (1)
Yang Yang, Bao-Liang Lu
2005 — conf
Task Decomposition Using Geometric Relation for Min-Max Modular SVMs.
ISNN (1)
Kai-An Wang, Hai Zhao, Bao-Liang Lu
2005 — conf
Typical Sample Selection and Redundancy Reduction for Min-Max Modular Network with GZC Function.
ISNN (1)
Jing Li, Bao-Liang Lu, Michinori Ichikawa
2004 — conf
A Cascade Method for Reducing Training Time and the Number of Support Vectors.
ISNN (1)
Yimin Wen, Bao-Liang Lu
2004 C conf
A Modular k-Nearest Neighbor Classification Method for Massively Parallel Text Categorization.
CIS
Hai Zhao, Bao-Liang Lu
2004 B conf
A part-versus-part method for massively parallel training of support vector machines.
IJCNN
Bao-Liang Lu, Kai-An Wang, Masao Utiyama, Hitoshi Isahara
2004 — conf
An Adjusted Gaussian Skin-Color Model Based on Principal Component Analysis.
ISNN (1)
Zhi-Gang Fan, Bao-Liang Lu
2004 — conf
Analysis of Fault Tolerance of a Combining Classifier.
ISNN (1)
Hai Zhao, Bao-Liang Lu
2004 B conf
Fault Diagnosis for Industrial Images Using a Min-Max Modular Neural Network.
ICONIP
Bin Huang, Bao-Liang Lu
2004 B conf
Feature Selection for Fast Image Classification with Support Vector Machines.
ICONIP
Zhi-Gang Fan, Kai-An Wang, Bao-Liang Lu
2004 J jnl
Massively parallel classification of single-trial EEG signals using a min-max Modular neural network.
IEEE Trans. Biomed. Eng.
Bao-Liang Lu, Jonghan Shin, Michinori Ichikawa
2003 J jnl
Converting general nonlinear programming problems into separable programming problems with feedforward neural networks.
Neural Networks
Bao-Liang Lu, Koji Ito
2003 J jnl
Efficient Part-of-Speech Tagging with a Min-Max Modular Neural-Network Model.
Appl. Intell.
Bao-Liang Lu, Qing Ma, Michinori Ichikawa, Hitoshi Isahara
2002 J jnl
Part of speech tagging with min-max modular neural networks.
Syst. Comput. Jpn.
Qing Ma, Bao-Liang Lu, Hitoshi Isahara, Michinori Ichikawa
2001 C conf
Massively Parallel Classification of EEG Signals Using Min-Max Modular Neural Networks.
ICANN
Bao-Liang Lu, Jonghan Shin, Michinori Ichikawa
2001 C conf
On-Line Error Detection of Annotated Corpus Using Modular Neural Networks.
ICANN
Qing Ma, Bao-Liang Lu, Masaki Murata, Michinori Ichikawa, Hitoshi Isahara
2001 J jnl
Reading auditory discrimination behaviour of freely moving rats from hippocampal EEG.
Neurocomputing
Jonghan Shin, Bao-Liang Lu, Arkadi Talnov, Gen Matsumoto, Jurij Brankack
2000 — conf
Emergence of Learning: An Approach to Coping with NP-Complete Problems in Learning.
IJCNN (4)
Bao-Liang Lu, Michinori Ichikawa
1999 J jnl
Inverting feedforward neural networks using linear and nonlinear programming.
IEEE Trans. Neural Networks
Bao-Liang Lu, Hajime Kita, Yoshikazu Nishikawa
1999 J jnl
Task decomposition and module combination based on class relations: a modular neural network for pattern classification.
IEEE Trans. Neural Networks
Bao-Liang Lu, Masami Ito
1998 — conf
Decomposing and Parallel Learning of Large-Scale Pattern Recognition Problems using Min-Max Modular Neural Network.
NC
Bao-Liang Lu, Masami Ito
1998 B conf
Decomposition and Parallel Learning of Imbalanced Classification Problems by Min-Max Modular Neural Network.
ICONIP
Bao-Liang Lu, Masami Ito
1997 Misc conf
Task Decomposition Based on Class Relations: A Modular Neural Network Architecture for Pattern Classification.
IWANN
Bao-Liang Lu, Masami Ito
1995 — conf
Regularization of inverse kinematics for redundant manipulators using neural network inversions.
ICNN
Bao-Liang Lu, Koji Ito