Feng Hou

Orcid: 0000-0001-5776-9177

According to our database1, Feng Hou authored at least 42 papers between 2008 and 2024.

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

Timeline

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Bibliography

2024
IENet: inheritance enhancement network for video salient object detection.
Multim. Tools Appl., August, 2024

A Survey of Visual Transformers.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

Domain-Aware Graph Network for Bridging Multi-Source Domain Adaptation.
IEEE Trans. Multim., 2024

DomainVerse: A Benchmark Towards Real-World Distribution Shifts For Tuning-Free Adaptive Domain Generalization.
CoRR, 2024

A Novel Two-step Fine-tuning Framework for Transfer Learning in Low-Resource Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Refugee Resettlement: Why a Computational Method using E-CARGO is Better?
Proceedings of the 4th IEEE International Conference on Human-Machine Systems, 2024

2023
Learning and integration of adaptive hybrid graph structures for multivariate time series forecasting.
Inf. Sci., November, 2023

Fine-Grained Entity Typing With a Type Taxonomy: A Systematic Review.
IEEE Trans. Knowl. Data Eng., May, 2023

Exploiting anonymous entity mentions for named entity linking.
Knowl. Inf. Syst., March, 2023

Growing neural gas assisted evolutionary many-objective optimization for handling irregular Pareto fronts.
Swarm Evol. Comput., 2023

How to Design Translation Prompts for ChatGPT: An Empirical Study.
CoRR, 2023

PhasePerturbation: Speech Data Augmentation via Phase Perturbation for Automatic Speech Recognition.
Proceedings of the ACM Multimedia Asia Workshops, 2023

CLRL-Tuning: A Novel Continual Learning Approach for Automatic Speech Recognition.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

A Novel Self-training Approach for Low-resource Speech Recognition.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Learning How to Learn Domain-Invariant Parameters for Domain Generalization.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
FADA: A Cloud-Fog-Edge Architecture and Ontology for Data Acquisition.
IEEE Trans. Cloud Comput., 2022

Learning to Learn Domain-invariant Parameters for Domain Generalization.
CoRR, 2022

Adversarial multi-task learning with inverse mapping for speech enhancement.
Appl. Soft Comput., 2022

Automatic Speech-Based Smoking Status Identification.
Proceedings of the Intelligent Computing, 2022

Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

MobileACNet: ACNet-Based Lightweight Model for Image Classification.
Proceedings of the Image and Vision Computing - 37th International Conference, 2022

CyclicAugment: Speech Data Random Augmentation with Cosine Annealing Scheduler for Auotmatic Speech Recognition.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Improved Meta Learning for Low Resource Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2022

Determining the best Acoustic Features for Smoker Identification.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Fuzzy rough sets and fuzzy rough neural networks for feature selection: A review.
WIREs Data Mining Knowl. Discov., 2021

VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images.
Medical Image Anal., 2021

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge.
Medical Image Anal., 2021

Transfer learning for fine-grained entity typing.
Knowl. Inf. Syst., 2021

Improving Entity Linking through Semantic Reinforced Entity Embeddings.
CoRR, 2021

Self-Supervised Learning Based Phone-Fortified Speech Enhancement.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

2020
Deep learning methods in real-time image super-resolution: a survey.
J. Real Time Image Process., 2020

VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images.
CoRR, 2020

Analysis of electronic health records based on long short-term memory.
Concurr. Comput. Pract. Exp., 2020

Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer.
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

Indoor Object Identification based on Spectral Subtraction of Acoustic Room Impulse Response.
Proceedings of the IEEE International Conference on Signal Processing, 2020

Modality-Pairing Learning for Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

Improving Entity Linking through Semantic Reinforced Entity Embeddings.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge.
CoRR, 2019

Cascaded Volumetric Convolutional Network for Kidney Tumor Segmentation from CT volumes.
CoRR, 2019

2015
Improving Wang-Mendel method performance in fuzzy rules generation using the fuzzy C-means clustering algorithm.
Neurocomputing, 2015

Adaptive differential evolution with directional strategy and cloud model.
Appl. Intell., 2015

2008
A hybrid approach combining an improved genetic algorithm and optimization strategies for the asymmetric traveling salesman problem.
Eng. Appl. Artif. Intell., 2008


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