Teng Zhou

According to our database1, Teng Zhou authored at least 23 papers between 2016 and 2021.

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



In proceedings 
PhD thesis 


On csauthors.net:


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

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

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

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

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

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

Deformability-Based Electrokinetic Particle Separation.
Micromachines, 2016