Hao Wang

Orcid: 0000-0001-6893-0253

Affiliations:
  • Shenzhen University, Guangdong Multimedia Information Service Engineering Technology Research Center, China
  • City University of Hong Kong, Department of Electrical Engineering, Hong Kong (PhD 2019)


According to our database1, Hao Wang authored at least 23 papers between 2016 and 2025.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2025
Deep learning-based time series forecasting.
Artif. Intell. Rev., January, 2025

2024
Image Classification on Hypersphere Loss.
IEEE Trans. Ind. Informatics, April, 2024

Co-salient object detection with iterative purification and predictive optimization.
Virtual Real. Intell. Hardw., 2024

D2Vformer: A Flexible Time Series Prediction Model Based on Time Position Embedding.
CoRR, 2024

Multi-Weather Image Restoration via Histogram-Based Transformer Feature Enhancement.
CoRR, 2024

Multiple weather images restoration using the task transformer and adaptive mixup strategy.
CoRR, 2024

2023
Two analog neural models with the controllability on number of assets for sparse portfolio design.
Neurocomputing, November, 2023

A Globally Stable LPNN Model for Sparse Approximation.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

l0-norm based Short-term Sparse Portfolio Optimization Algorithm Based on Alternating Direction Method of Multipliers.
Signal Process., July, 2023

Constrained Center Loss for Convolutional Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., February, 2023

2022
Lagrange Programming Neural Networks for Sparse Portfolio Design.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

2020
Robust MIMO radar target localization based on lagrange programming neural network.
Signal Process., 2020

Robust ellipse fitting based on Lagrange programming neural network and locally competitive algorithm.
Neurocomputing, 2020

Constrained Center Loss for Image Classification.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019
An ℓ<sub>0</sub>-Norm-Based Centers Selection for Failure Tolerant RBF Networks.
IEEE Access, 2019

2018
ADMM-Based Algorithm for Training Fault Tolerant RBF Networks and Selecting Centers.
IEEE Trans. Neural Networks Learn. Syst., 2018

An analog neural network approach for the least absolute shrinkage and selection operator problem.
Neural Comput. Appl., 2018

l0-norm Based Centers Selection for Failure Tolerant RBF Networks.
CoRR, 2018

Fast L1-Minimization Algorithm for Sparse Approximation Based on an Improved LPNN-LCA framework.
CoRR, 2018

Lagrange Programming Neural Network Approaches for Robust Time-of-Arrival Localization.
Cogn. Comput., 2018

MCP Based Noise Resistant Algorithm for Training RBF Networks and Selecting Centers.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
A Lagrange Programming Neural Network Approach for Robust Ellipse Fitting.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016
A Robust TOA Source Localization Algorithm Based on LPNN.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016


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