Research output per year
Research output per year
- 1 - 50 out of 164 results
Search results
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2025
A Survey of Methods for Addressing Imbalance Data Problems in Agriculture Applications
Miftahushudur, T., Sahin, H. M., Grieve, B. & Yin, H., 29 Jan 2025, In: Remote Sensing. 17, 3, 454.Research output: Contribution to journal › Article › peer-review
Open AccessFile122 Downloads (Pure) -
Non-Unique Machine Learning Mapping in Data-Driven Reynolds Averaged Turbulence Models
Man, A., Jadidi, M., Keshmiri, A., Yin, H. & Mahmoudi Larimi, Y., 5 Jan 2025, (E-pub ahead of print) Cornell University, (ArXiv).Research output: Preprint/Working paper › Preprint
Open Access -
Surrogate model development for digital experiments in welding
Miao, Z., Vasileiou, A., Yin, H. & Margetts, L., 12 Jan 2025, (Accepted/In press) In: Journal of Visualized Experiments.Research output: Contribution to journal › Article › peer-review
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2024
Feature-Enhanced Representation with Transformers for Multi-View Stereo
Xiang, L. & Yin, H., 3 Mar 2024, (E-pub ahead of print) In: IET Image Processing.Research output: Contribution to journal › Article › peer-review
Open Access -
Fourier Ptychography with Information Entropy Based No-Reference Image Quality Assessment Learning
Yang, Q. & Yin, H., 27 Sept 2024, (E-pub ahead of print) 2024 IEEE International Conference on Image Processing (ICIP). IEEEResearch output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
Open Access -
High-Frequency Channel Attention and Contrastive Learning for Image Super-Resolution
Yan, T. & Yin, H., 29 Feb 2024, (E-pub ahead of print) In: Visual Computer.Research output: Contribution to journal › Article › peer-review
Open Access -
Implementing Physics-Informed Neural Networks for Heat Transfer Using Nvidia Modulus
Miao, Z., Smith, W., Soemantoro, R., Omer, M., Barker, A., Vasileiou, A., Yin, H. & Margetts, L., 20 Apr 2024, (Accepted/In press).Research output: Contribution to conference › Poster
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KDNet: Leveraging Vision-Language Knowledge Distillation for Few-Shot Object Detection
Ma, M., Qian, L. & Yin, H., 17 Sept 2024, Artificial Neural Networks and Machine Learning – ICANN 2024: 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part II. Wand, M., Malinovská, K., Schmidhuber, J. & Tetko, I. V. (eds.). Cham: Springer Cham, Vol. 2. p. 153–167 15 p. (Lecture Notes in Computer Science; vol. 15017).Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
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Model-based Deep Reinforcement Learning for Active Control of Flow around a Circular Cylinder Using Action-informed Episode-based Neural Ordinary Differential Equations
Mao, Y., Zhong, S. & Yin, H., 21 Aug 2024, In: Physics of Fluids. 36, 8, 083619.Research output: Contribution to journal › Article › peer-review
Open AccessFile42 Downloads (Pure) -
Non-Unique Machine Learning Mapping in Data-Driven Reynolds Averaged Turbulence Models
Man, A., Jadidi, M., Keshmiri, A., Yin, H. & Mahmoudi Larimi, Y., 9 Sept 2024, In: Physics of Fluids. 36, 9, 095119.Research output: Contribution to journal › Article › peer-review
5 Downloads (Pure) -
Physics-Informed Neural Networks for Neutronic Heating
Miao, Z., Smith, W., Soemantoro, R., Omer, M., Barker, A., Vasileiou, A., Yin, H. & Margetts, L., 8 Apr 2024.Research output: Contribution to conference › Abstract › peer-review
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Self-supervised Learning based on Domain Interpolation for Histopathological Image Analysis
Huang, Y. & Yin, H., 2024, IJCNN 2024. IEEEResearch output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
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SELF-SUPERVISED MULTI-VIEW STEREO WITH ADAPTIVE DEPTH PRIORS
Xiang, L. & Yin, H., 27 Sept 2024, (E-pub ahead of print) 2024 IEEE International Conference on Image Processing (ICIP). IEEEResearch output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
Open Access -
2023
A Divide-and-Conquer Machine Learning Approach for Modelling Turbulent Flows
Man, A., Jadidi, M., Keshmiri, A., Yin, H. & Mahmoudi Larimi, Y., 2 May 2023, (E-pub ahead of print) In: Physics of Fluids.Research output: Contribution to journal › Article › peer-review
Open AccessFile181 Downloads (Pure) -
A Machine Learning Based Approach for Selection of SF6 Alternatives
Savruckis, D., Chen, T. & Yin, H., 12 May 2023, (E-pub ahead of print) CIGRE B3/A3 Colloquium 2023, Birmignham, UK, 9-12 May, 2023.Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
Open AccessFile52 Downloads (Pure) -
DRLFluent: A distributed co-simulation framework coupling deep reinforcement learning with Ansys-Fluent on high-performance computing systems
Mao, Y., Zhong, S. & Yin, H., 1 Dec 2023, In: Journal of Computational Science. 74, 15 p., 102171.Research output: Contribution to journal › Article › peer-review
Open Access -
Manifold-enhanced CycleGAN for facial expression synthesis
Huang, Y. & Yin, H., 20 Feb 2023, In: Imaging Science Journal.Research output: Contribution to journal › Article › peer-review
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Permuted KPCA and SMOTE to Guide GAN-Based Oversampling for Imbalanced HSI Classification
Miftahushudur, T., Grieve, B. & Yin, H., 8 Nov 2023, (E-pub ahead of print) In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.Research output: Contribution to journal › Article › peer-review
Open Access -
Segmentation of Weeds and Crops Using Multispectral Imaging and CRF-enhanced U-Net
Sahin, H. M., Miftahushudur, T., Grieve, B. & Yin, H., 1 Aug 2023, In: Computers and Electronics in Agriculture.Research output: Contribution to journal › Article › peer-review
Open Access -
Surrogate model development for predicting physical fields in welding: achievements and challenges
Miao, Z., Vasileiou, A., Yin, H. & Margetts, L., 13 Sept 2023, (Accepted/In press).Research output: Contribution to conference › Other
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Surrogate model development using simulation data to predict weld residual stress: A case study based on the NeT-TG1 benchmark
Miao, Z., Margetts, L., Vasileiou, A. N. & Yin, H., 1 Dec 2023, In: International Journal of Pressure Vessels and Piping. 206, 105014.Research output: Contribution to journal › Article › peer-review
Open Access -
2022
Active Flow Control Using Deep Reinforcement Learning with Time-Delays in Markov Decision Process and Autoregressive Policy
Mao, Y., Zhong, S. & Yin, H., 3 May 2022, In: Physics of Fluids.Research output: Contribution to journal › Article › peer-review
Open AccessFile540 Downloads (Pure) -
A Slimmer and Deeper Approach to Deep Network Structures for Low-Level Vision Tasks
Xu, B. & Yin, H., 1 Jul 2022, In: Expert Systems.Research output: Contribution to journal › Article › peer-review
Open Access -
A Survey of Deep Learning Approaches to Image Restoration
Su, J., Xu, B. & Yin, H., 28 May 2022, In: Neurocomputing. 487, p. 46-65 20 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile707 Downloads (Pure) -
A U-Net Based Progressive GAN for Microscopic Image Augmentation
Zhou, Q. & Yin, H., Jun 2022, (Accepted/In press) 26th UK Conference on Medical Image Understanding and Analysis (MIUA 2022). Springer Nature, (Lecture Notes in Computer Science).Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
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Automatic SAR Change Detection Based on Visual Saliency and Multi-Hierarchical Fuzzy Clustering
Peng, Y., Cui, B., Yin, H., Zhang, Y. & Du, P., 16 Aug 2022, In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15, p. 7755 - 7769Research output: Contribution to journal › Article › peer-review
Open Access -
A workflow for developing surrogate models for fast prediction of welding induced residual stress using Abaqus and Python
Miao, Z., Yin, H., Vasileiou, A. & Margetts, L., 14 Sept 2022, (Accepted/In press).Research output: Contribution to conference › Other
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CAST: Learning both Geometric and Texture Style Transfers for Effective Caricature Generation
Huo, J., Liu, X., Li, W., Gao, Y., Yin, H. & Luo, J., 2 Feb 2022, (Accepted/In press) In: IEEE Transactions on Image Processing.Research output: Contribution to journal › Article › peer-review
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Design and Experimental Validation of Deep Reinforcement Learning-Based Fast Trajectory Planning and Control for Mobile Robot in Unknown Environment
Chai, R., Niu, H., Carrasco, J., Arvin, F., Yin, H. & Lennox, B., 10 Oct 2022, (E-pub ahead of print) In: IEEE Transactions on NEural Networks and Learning Systems. p. 1-15 16 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile847 Downloads (Pure) -
Early detection of plant virus infection using multispectral imaging and spatial-spectral machine learning
Peng, Y., Dallas, M., Ascencio-Ibanez, J., Hoyer, S., Legg, J., Hanley-Bowdoin, L., Grieve, B. & Yin, H., 24 Feb 2022, In: Scientific Reports.Research output: Contribution to journal › Article › peer-review
Open Access -
Optimising a Machine Learning Model for Reynolds Averaged Turbulence Modelling of Internal Flows
Man, A., Jadidi, M., Keshmiri, A., Yin, H. & Mahmoudi Larimi, Y., 13 May 2022, (Accepted/In press) 16TH INTERNATIONAL CONFERENCE ON HEAT TRANSFER, FLUID MECHANICS AND THERMODYNAMICS AND EDITORIAL BOARD OF APPLIED THERMAL ENGINEERING. 6 p.Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
File149 Downloads (Pure) -
SCENE CONTEXT ENHANCED NETWORK FOR PERSON SEARCH
Ma, M. & Yin, H., 20 Jun 2022, (Accepted/In press) Proceedings of IEEE ICIP 2022. IEEEResearch output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
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Unsupervised Domain Adaptation Through Dynamically Aligning Both the Feature and Label Spaces
Tian, Q., Zhu, Y., Sun, H., Chen, S. & Yin, H., Dec 2022, In: IEEE Transactions on Circuits and Systems for Video Technology.Research output: Contribution to journal › Article › peer-review
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2021
Accelerated Sim-to-Real Deep Reinforcement Learning: Learning Collision Avoidance from Human Player
Niu, H., Ji, Z., Arvin, F., Lennox, B., Yin, H. & Carrasco, J., 24 Mar 2021, 2021 IEEE/SICE International Symposium on System Integration, SII 2021. IEEE, p. 144-149 6 p. 9382693. (2021 IEEE/SICE International Symposium on System Integration, SII 2021).Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
Open Access -
DC-Deblur: A Dilated Convolutional Network for Single Image Deblurring
Xu, B. & Yin, H., 23 Nov 2021, Proceedings of International Conference on Intelligent Data Engineering and Automated Learning. Springer Nature, Vol. 12113. p. 234-245Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
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Depth Evaluation for Metal Surface Defects by Eddy Current Testing Using Deep Residual Convolutional Neural Networks
Meng, T., Tao, Y., Chen, Z., Avila, J. R. S., Ran, Q., Shao, Y., Huang, R., Xie, Y., Zhao, Q., Zhang, Z., Yin, H., Peyton, A. J. & Yin, W., 4 Oct 2021, In: IEEE Transactions on Instrumentation and Measurement. 2515413.Research output: Contribution to journal › Article › peer-review
Open Access10 Downloads (Pure) -
Efficient Multi-Objective Gans for Image Restoration
Su, J. & Yin, H., 30 Jan 2021, (Accepted/In press) IEEE ICASSP 2021. IEEEResearch output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
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Efficient Pyramid Context Encoding and Feature Embedding for Semantic Segmentation
Liu, M. & Yin, H., 1 Jul 2021, In: Image and Vision Computing. 111, 104195.Research output: Contribution to journal › Article › peer-review
Open AccessFile138 Downloads (Pure) -
Ensemble Synthetic Oversampling with Manhattan Distance for Unbalanced Hyperspectral Data
Miftahushudur, T., Grieve, B. & Yin, H., 23 Nov 2021, Proceedings of International Conference on Intelligent Data Engineering and Automated Learning. Springer Nature, Vol. 13113. p. 54-64Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
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Graph Convolutional Networks in Feature Space for Image Deblurring and Super-resolution
Xu, B. & Yin, H., 10 Apr 2021, (Accepted/In press) Proceedings of IJCNN 2021. IEEEResearch output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
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Preface
Yin, H., Camacho, D., Tino, P., Allmendinger, R., Tallón-Ballesteros, A. J., Tang, K., Cho, S. B., Novais, P. & Nascimento, S., 2021, In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 13113 LNCS, p. v-viResearch output: Contribution to journal › Editorial › peer-review
Open Access -
Sparse Spatial Attention Network for Semantic Segmentation
Liu, M. & Yin, H., 20 May 2021, (Accepted/In press) Proceedings of IEEE ICIP 2021. IEEEResearch output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
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2020
3D Point Cloud Feature Explanations Using Gradient-Based Methods
Gupta, A., Watson, S. & Yin, H., 20 Mar 2020, (Accepted/In press).Research output: Contribution to conference › Paper › peer-review
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A Convex Discriminant Semantic Correlation Analysis for Cross-View Recognition
Tian, Q., Ma, C., Cao, M., Chen, S. & Yin, H., 14 May 2020, (E-pub ahead of print) In: IEEE Transactions on Cybernetics.Research output: Contribution to journal › Article › peer-review
Open AccessFile222 Downloads (Pure) -
Arbitrarily shaped Point Spread Function (PSF) estimation for single image blind deblurring
Khan, A. & Yin, H., 25 Jul 2020, (E-pub ahead of print) In: Visual Computer.Research output: Contribution to journal › Article › peer-review
Open AccessFile315 Downloads (Pure) -
A Slimmer and Deeper Approach to Network Structures for Image Denoising and Dehazing
Xu, B. & Yin, H., 2020, International Conference on Intelligent Data Engineering and Automated Learning. Springer Nature, p. 268-279 11 p.Research output: Chapter in Book/Conference proceeding › Chapter › peer-review
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Automatic Multispectral Image Classification of Plant Virus from Leaf Samples
Sahin, H. M., Grieve, B. & Yin, H., 2020, International Conference on Intelligent Data Engineering and Automated Learning. Springer Nature, p. 374-384 11 p.Research output: Chapter in Book/Conference proceeding › Chapter › peer-review
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Data-Independent Feature Learning with Markov Random Fields in Convolutional Neural Networks
Peng, Y., Hankins, R. & Yin, H., Feb 2020, In: Neurocomputing. p. 24-35Research output: Contribution to journal › Article › peer-review
Open AccessFile173 Downloads (Pure) -
Deep Learning-based Aerial Image Segmentation with Open Data for Disaster Impact Assessment
Gupta, A., Watson, S. & Yin, H., 11 Feb 2020, (Accepted/In press) In: Neurocomputing.Research output: Contribution to journal › Article › peer-review
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Improving Adversarial Learning with Image Quality Measures for Image Deblurring
Su, J. & Yin, H., 2020, International Conference on Intelligent Data Engineering and Automated Learning. Springer Nature, p. 160-171 12 p.Research output: Chapter in Book/Conference proceeding › Chapter › peer-review