成果/Result
- Detecting driving stress in physiological signals based on multimodal feature analysis and kernel classifiers被引量：183收藏
- 作者：Chen, Lan-lan Zhao, Yu Ye, Peng-fei Zhang, Jian Zou, Jun-zhong
- 机构：East China Univ Sci & Technol
- 来源：EXPERT SYSTEMS WITH APPLICATIONS 2017
- 关键词：Driving stress Physiological signals Multimodal feature extraction Feature selection Kernel-based classifiers
- EEG-based emotion recognition using simple recurrent units network and ensemble learning被引量：137收藏
- 作者：Wei, Chen Chen, Lan-lan Song, Zhen-zhen Lou, Xiao-guang Li, Dong-dong
- 机构：East China Univ Sci & Technol
- 来源：BIOMEDICAL SIGNAL PROCESSING AND CONTROL 2020
- 关键词：EEG Emotion recognition DT-CWT SRU Ensemble learning
- Automatic detection of alertness/drowsiness from physiological signals using wavelet-based nonlinear features and machine learning被引量：127收藏
- 作者：Chen, Lan-lan Zhao, Yu Zhang, Jian Zou, Jun-zhong
- 机构：E China Univ Sci & Technol
- 来源：EXPERT SYSTEMS WITH APPLICATIONS 2015
- 关键词：Drowsiness detection Electroencephalogram (EEG) Eyelid movements Wavelet decomposition Nonlinear features Extreme learning machine (ELM)
- A new hybrid BCI paradigm based on P300 and SSVEP被引量：114收藏
- 作者：Wang, Minjue Daly, Ian Allison, Brendan Z. Jin, Jing Zhang, Yu Chen, Lanlan Wang, Xingyu
- 机构：E China Univ Sci & Technol;Univ Reading;Univ Calif San Diego
- 来源：JOURNAL OF NEUROSCIENCE METHODS 2015
- 关键词：Brain-computer interface (BCI) Hybrid paradigm P300 SSVEP
- A framework on wavelet-based nonlinear features and extreme learning machine for epileptic seizure detection被引量：76收藏
- 作者：Chen, Lan-Lan Zhang, Jian Zou, Jun-Zhong Zhao, Chen-Jie Wang, Gui-Song
- 机构：E China Univ Sci & Technol;Shanghai Jiao Tong Univ
- 来源：BIOMEDICAL SIGNAL PROCESSING AND CONTROL 2014
- 关键词：Seizure detection Wavelet decomposition Approximate entropy (ApEn) Sample entropy (SampEn) Recurrence quantification analysis (RQA) Extreme learning machine (ELM) Support vector machine (SVM)
- Automatic detection of interictal epileptiform discharges based on time-series sequence merging method被引量：22收藏
- 作者：Zhang, Jian Zou, Junzhong Wang, Min Chen, Lanlan Wang, Chunmei Wang, Guisong
- 机构：E China Univ Sci & Technol;Shanghai Normal Univ;Shanghai Jiao Tong Univ
- 来源：NEUROCOMPUTING 2013
- 关键词：Merger of increasing and decreasing sequences (MIDS) Epileptic EEG Automatic detection Support vector machine
- Multi-view ensemble learning with empirical kernel for heart failure mortality prediction被引量：13收藏
- 作者：Wang, Zhe Chen, Lilong Zhang, Jing Yin, Yichao Li, Dongdong
- 机构：East China Univ Sci & Technol;Shanghai Shuguang Hosp;East China Univ Sci & Technol
- 来源：INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING 2020
- 关键词：empirical kernel ensemble learning heart failure mortality prediction multi-view learning
- Automatic recognition of epileptic discharges based on shape similarity in time-domain被引量：7收藏
- 作者：Wei, Zuo-Chen Zou, Jun-Zhong Zhang, Jian Chen, Lan-Lan
- 机构：East China Univ Sci & Technol
- 来源：BIOMEDICAL SIGNAL PROCESSING AND CONTROL 2017
- 关键词：Automatic recognition Epileptic EEG Template matching Modified Hausdorff distance Shape similarity
- Semi-supervised multiple empirical kernel learning with pseudo empirical loss and similarity regularization被引量：7收藏
- 作者：Guo, Wei Wang, Zhe Ma, Menghao Chen, Lilong Yang, Hai Li, Dongdong Du, Wenli
- 机构：East China Univ Sci & Technol;East China Univ Sci & Technol
- 来源：INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS 2022
- 关键词：machine learning multiple empirical kernel learning multiple kernel learning semi-supervised learning supervised learning
- Integrated Design and Evaluation System for the Effect of Rest Breaks in Sustained Mental Work Based on Neuro-physiological Signals被引量：6收藏
- 作者：Chen, Lanlan Sugi, Takenao Shirakawa, Shuichiro Zou, Junzhong Nakamura, Masatoshi
- 机构：E China Univ Sci & Technol;Saga Univ;Natl Ctr Neurol & Psychiat
- 来源：INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS 2010
- 关键词：Individual difference integrated design and evaluation system neurological characteristics rest breaks sustained mental work
- Abdominal multi-organ segmentation in Multi-sequence MRIs based on visual attention guided network and knowledge distillation被引量：4收藏
- 作者：Fu, Hao Zhang, Jian Li, Bin Chen, Lanlan Zou, Junzhong Zhang, ZhuiYang Zou, Hao
- 机构：East China Univ Sci & Technol;Jiangnan Univ;Tsinghua Univ Shenzhen
- 来源：PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS 2024
- 关键词：Abdominal multi-organ segmentation Unpaired multi-sequence learning Knowledge distillation VAG-net
- Multiple Random Empirical Kernel Learning with Margin Reinforcement for imbalance problems被引量：4收藏
- 作者：Wang, Zhe Chen, Lilong Fan, Qi Li, DongDong Gao, Daqi
- 机构：East China Univ Sci & Technol;East China Univ Sci & Technol
- 来源：ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2020
- 关键词：Classification Imbalanced problems Empirical kernel mapping Multiple kernel learning Margin reinforcement
- Personalized federated learning for abdominal multi-organ segmentation based on frequency domain aggregation被引量：3收藏
- 作者：Fu, Hao Zhang, Jian Chen, Lanlan Zou, Junzhong
- 机构：East China Univ Sci & Technol
- 来源：JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS 2025
- 关键词：abdominal multi-organ segmentation federated learning medical image personalized federated learning
- Lightweight and Interpretable Channel Selection for EEG Measurement Systems in Epileptic Seizure Prediction被引量：0收藏
- 作者：Lou, Jionghao Zhang, Jian Li, Zhongmei Chen, Lanlan Feng, Enbo
- 机构：East China Univ Sci & Technol;East China Univ Sci & Technol
- 来源：IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 2026
- 关键词：Electroencephalography Electrodes Location awareness Accuracy Transformers Brain modeling Training Kernel Epilepsy Convolutional neural networks Class activation mapping electroencephalogram (EEG) channel selection interpretability reinforcement learning (RL) seizure prediction
- DUFGNet: A dual-stream U-Net framework with frequency-guided channel attention and graph integration for epileptic seizure prediction被引量：0收藏
- 作者：Lou, Jionghao Zhang, Jian Li, Zhongmei Chen, Lanlan Feng, Enbo
- 机构：East China Univ Sci & Technol;East China Univ Sci & Technol
- 来源：NEUROCOMPUTING 2026
- 关键词：EEG Seizure prediction Two-stream network Self-supervised learning Attention mechanism
- AGCTN: adaptive graph convolutional transformer network for hyperscanning EEG mental workload recognition被引量：0收藏
- 作者：Chen, Lan-lan Xu, Jia-min Zhou, Shu-jin Zhang, Ming-ming
- 机构：East China Univ Sci & Technol;Shanghai Normal Univ;Shanghai Normal Univ
- 来源：EXPERT SYSTEMS WITH APPLICATIONS 2026
- 关键词：Hyperscanning Synchronization Graph convolutional networks Transformer Mental workload recognition
