Shihua Huang

Orcid: 0000-0002-5801-2173

According to our database1, Shihua Huang authored at least 18 papers between 2018 and 2023.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Surrogate-Assisted Multiobjective Neural Architecture Search for Real-Time Semantic Segmentation.
IEEE Trans. Artif. Intell., December, 2023

GAMMA challenge: Glaucoma grAding from Multi-Modality imAges.
Medical Image Anal., December, 2023

RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning.
IEEE Trans. Neural Networks Learn. Syst., 2023

Revisiting Residual Networks for Adversarial Robustness.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
How Flexible is Your Computing System?
ACM Trans. Embed. Comput. Syst., 2022

A Route Clustering and Search Heuristic for Large-Scale Multidepot-Capacitated Arc Routing Problem.
IEEE Trans. Cybern., 2022

SoloGAN: Multi-domain Multimodal Unpaired Image-to-Image Translation via a Single Generative Adversarial Network.
IEEE Trans. Artif. Intell., 2022

Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective.
CoRR, 2022

Surrogate-assisted Multi-objective Neural Architecture Search for Real-time Semantic Segmentation.
CoRR, 2022

GAMMA Challenge: Glaucoma grAding from Multi-Modality imAges.
CoRR, 2022

2021
Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs).
IEEE Trans. Cybern., 2021

Efficient evolutionary neural architecture search by modular inheritable crossover.
Swarm Evol. Comput., 2021

FaPN: Feature-aligned Pyramid Network for Dense Image Prediction.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Multimodal Image-to-Image Translation via a Single Generative Adversarial Network.
CoRR, 2020


2019
Evolutionary Multi-Objective Optimization Driven by Generative Adversarial Networks (GANs).
CoRR, 2019

IvaNet: Learning to jointly detect and segment objets with the help of Local Top-Down Modules.
CoRR, 2019

2018
A Local Top-Down Module for Object Detection with Multi-scale Features.
Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018


  Loading...