Teng Zhou

Orcid: 0000-0003-1920-8891

According to our database1, Teng Zhou authored at least 53 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2024
From Regression to Classification: Fuzzy Multikernel Subspace Learning for Robust Prediction and Drug Screening.
IEEE Trans. Ind. Informatics, March, 2024

A noise-immune and attention-based multi-modal framework for short-term traffic flow forecasting.
Soft Comput., March, 2024

Dual Contrastive Training and Transferability-Aware Adaptation for Multisource Privacy-Preserving Motor Imagery Classification.
IEEE Trans. Instrum. Meas., 2024

Dynamic Spatiotemporal Graph Wavelet Network for Traffic Flow Prediction.
IEEE Internet Things J., 2024

2023
Variational mode decomposition and sample entropy optimization based transformer framework for cloud resource load prediction.
Knowl. Based Syst., November, 2023

Tips: towards automating patch suggestion for vulnerable smart contracts.
Autom. Softw. Eng., November, 2023

Gravitational search algorithm-extreme learning machine for COVID-19 active cases forecasting.
IET Softw., August, 2023

Spatial dynamic graph convolutional network for traffic flow forecasting.
Appl. Intell., June, 2023

Δfree-LSTM: An error distribution free deep learning for short-term traffic flow forecasting.
Neurocomputing, March, 2023

Adaptive Spatiotemporal Transformer Graph Network for Traffic Flow Forecasting by IoT Loop Detectors.
IEEE Internet Things J., January, 2023

CoWNet: A correlation weighted network for geological hazard detection.
Knowl. Based Syst., 2023

Local and global knowledge distillation with direction-enhanced contrastive learning for single-image deraining.
Knowl. Based Syst., 2023

Error-distribution-free kernel extreme learning machine for traffic flow forecasting.
Eng. Appl. Artif. Intell., 2023

SketchBodyNet: A Sketch-Driven Multi-faceted Decoder Network for 3D Human Reconstruction.
CoRR, 2023

Robust Exclusive Adaptive Sparse Feature Selection for Biomarker Discovery and Early Diagnosis of Neuropsychiatric Systemic Lupus Erythematosus.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Noise-Immune Extreme Ensemble Learning for Early Diagnosis of Neuropsychiatric Systemic Lupus Erythematosus.
IEEE J. Biomed. Health Informatics, 2022

Small dataset solves big problem: An outlier-insensitive binary classifier for inhibitory potency prediction.
Knowl. Based Syst., 2022

Transfer inhibitory potency prediction to binary classification: A model only needs a small training set.
Comput. Methods Programs Biomed., 2022

Identification of optimal metal-organic frameworks by machine learning: Structure decomposition, feature integration, and predictive modeling.
Comput. Chem. Eng., 2022

Mutual gain adaptive network for segmenting brain stroke lesions.
Appl. Soft Comput., 2022

PSFNet: A Deep Learning Network for Fake Passport Detection.
IEEE Access, 2022

Fuzzy Structural Broad Learning for Breast Cancer Classification.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

C<sup>3</sup>Net: A Cross-Channel Cross-Scale and Cross-Stage Network for Single Image Super-Resolution.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

2021
Celiac Disease Detection From Videocapsule Endoscopy Images Using Strip Principal Component Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Early Diagnosis of Neuropsychiatric Systemic Lupus Erythematosus by Deep Learning Enhanced Magnetic Resonance Spectroscopy.
J. Medical Imaging Health Informatics, 2021

A hybrid intelligent model for acute hypotensive episode prediction with large-scale data.
Inf. Sci., 2021

Multimodality Sentiment Analysis in Social Internet of Things Based on Hierarchical Attentions and CSAT-TCN With MBM Network.
IEEE Internet Things J., 2021

A temporal-aware LSTM enhanced by loss-switch mechanism for traffic flow forecasting.
Neurocomputing, 2021

A Noise-Immune Boosting Framework for Short-Term Traffic Flow Forecasting.
Complex., 2021

Particle hydrodynamic simulation of thrombus formation using velocity decay factor.
Comput. Methods Programs Biomed., 2021

Deep Learning Anti-Fraud Model for Internet Loan: Where We Are Going.
IEEE Access, 2021

SmartGift: Learning to Generate Practical Inputs for Testing Smart Contracts.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2021

Acsnet: Adaptive Cross-Scale Network with Feature Maps Refusion for Vehicle Density Detection.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Hybrid GA-SVR: An Effective Way to Predict Short-Term Traffic Flow.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2021

2020
Low-Light Image Enhancement Based on Quasi-Symmetric Correction Functions by Fusion.
Symmetry, 2020

CNN in CT Image Segmentation: Beyound Loss Function for Expoliting Ground Truth Images.
CoRR, 2020

Broad Learning Enhanced 1H-MRS for Early Diagnosis of Neuropsychiatric Systemic Lupus Erythematosus.
Comput. Math. Methods Medicine, 2020

Relationship Between Health Status and Physical Fitness of College Students From South China: An Empirical Study by Data Mining Approach.
IEEE Access, 2020

Low-Light Image Enhancement via Pair of Complementary Gamma Functions by Fusion.
IEEE Access, 2020

Color Correction Based on CFA and Enhancement Based on Retinex With Dense Pixels for Underwater Images.
IEEE Access, 2020

An Audio Data Representation for Traffic Acoustic Scene Recognition.
IEEE Access, 2020

A Sample-Rebalanced Outlier-Rejected k-Nearest Neighbor Regression Model for Short-Term Traffic Flow Forecasting.
IEEE Access, 2020

PSO-ELM: A Hybrid Learning Model for Short-Term Traffic Flow Forecasting.
IEEE Access, 2020

Unsupervised Learning for CT Image Segmentation via Adversarial Redrawing.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Learning 3D Features with 2D CNNs via Surface Projection for CT Volume Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

CNN in CT Image Segmentation: Beyond Loss Function for Exploiting Ground Truth Images.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
A Learning-Based Multimodel Integrated Framework for Dynamic Traffic Flow Forecasting.
Neural Process. Lett., 2019

PassGrid: Towards Graph-Supplemented Textual Shoulder Surfing Resistant Authentication.
Proceedings of the Security and Privacy in Social Networks and Big Data, 2019

Noise-Identified Kalman Filter for Short-Term Traffic Flow Forecasting.
Proceedings of the 15th International Conference on Mobile Ad-Hoc and Sensor Networks, 2019

2018
Rigorous design of reaction-separation processes using disjunctive programming models.
Comput. Chem. Eng., 2018

2017
δ-agree AdaBoost stacked autoencoder for short-term traffic flow forecasting.
Neurocomputing, 2017

Quantitative analysis of patients with celiac disease by video capsule endoscopy: A deep learning method.
Comput. Biol. Medicine, 2017

2016
Deformability-Based Electrokinetic Particle Separation.
Micromachines, 2016


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