Hao Wu

Affiliations:
  • Beijing Normal University, College of Information Science and Technology, China
  • Beijing Jiaotong University, School of Computer and Information Technology, China (PhD 2015)
  • Lawrence Berkeley National Laboratory, CA, USA (2013 - 2015)


According to our database1, Hao Wu authored at least 30 papers between 2013 and 2020.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2020
Special Issue: Identification, Information, and Knowledge in the Internet of Things.
Softw. Pract. Exp., 2020

A physiological data-driven model for learners' cognitive load detection using HRV-PRV feature fusion and optimized XGBoost classification.
Softw. Pract. Exp., 2020

Cxnet-M3: A Deep Quintuplet Network for Multi-Lesion Classification in Chest X-Ray Images Via Multi-Label Supervision.
IEEE Access, 2020

Semantic Inpainting with Multi-dimensional Adversarial Network and Wasserstein Distance.
Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020

2019
Weighted-learning-instance-based retrieval model using instance distance.
Mach. Vis. Appl., 2019

Sparse coding based few learning instances for image retrieval.
Multim. Tools Appl., 2019

Multi-scale semantic image inpainting with residual learning and GAN.
Neurocomputing, 2019

CXNet-m1: Anomaly Detection on Chest X-Rays With Image-Based Deep Learning.
IEEE Access, 2019

2018
End-to-end learning for image-based air quality level estimation.
Mach. Vis. Appl., 2018

Joint entropy based learning model for image retrieval.
J. Vis. Commun. Image Represent., 2018

Towards Real-Time Multi-Sensor Golf Swing Classification Using Deep CNNs.
J. Database Manag., 2018

Research on Facial Expression Recognition Technology Based on Convolutional-Neural-Network Structure.
Int. J. Softw. Innov., 2018

Golf swing classification with multiple deep convolutional neural networks.
Int. J. Distributed Sens. Networks, 2018

Dynamic Modeling of Failure Events in Preventative Pipe Maintenance.
IEEE Access, 2018

Text Recovery via Deep CNN-BiLSTM Recognition and Bayesian Inference.
IEEE Access, 2018

Cancer-Drug Interaction Network Construction and Drug Target Prediction Based on Multi-source Data.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2018

Sentiment Analysis of Weibo Comment Texts Based on Extended Vocabulary and Convolutional Neural Network.
Proceedings of the 2018 International Conference on Identification, 2018

Semi-supervised Power Iteration Clustering.
Proceedings of the 2018 International Conference on Identification, 2018

New Inpainting Algorithm Based on Simplified Context Encoders and Multi-Scale Adversarial Network.
Proceedings of the 2018 International Conference on Identification, 2018

Semantic Validation Based Massive Image Composition.
Proceedings of the 2018 International Conference on Identification, 2018

2017
Optimized learning instance-based image retrieval.
Multim. Tools Appl., 2017

Using automatic generation of Labanotation to protect folk dance.
J. Electronic Imaging, 2017

Multi-sensor Golf Swing Classification Using Deep CNN.
Proceedings of the 2017 International Conference on Identification, 2017

2016
Recognition improvement through optimized spatial support methodology.
Multim. Tools Appl., 2016

Creative and high-quality image composition based on a new criterion.
J. Vis. Commun. Image Represent., 2016

A new sampling algorithm for high-quality image matting.
J. Vis. Commun. Image Represent., 2016

2015
Optimized recognition with few instances based on semantic distance.
Vis. Comput., 2015

Image completion with multi-image based on entropy reduction.
Neurocomputing, 2015

Recognition improvement through the optimisation of learning instances.
IET Comput. Vis., 2015

2013
Spatial-Temporal Context for Action Recognition Combined with Confidence and Contribution Weight.
Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013


  Loading...