Haoyuan Chen
Orcid: 0000-0001-9442-1874
According to our database1,
Haoyuan Chen
authored at least 42 papers
between 2015 and 2024.
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Collaborative distances:
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Bibliography
2024
What can machine vision do for lymphatic histopathology image analysis: a comprehensive review.
Artif. Intell. Rev., March, 2024
AFC: An adaptive lossless floating-point compression algorithm in time series database.
Inf. Sci., January, 2024
Towards Robust Offline-to-Online Reinforcement Learning via Uncertainty and Smoothness.
J. Artif. Intell. Res., 2024
Enhancing educational Q&A systems using a Chaotic Fuzzy Logic-Augmented large language model.
Frontiers Artif. Intell., 2024
CoRR, 2024
IRUM: An Image Representation and Unified Learning Method for Breast Cancer Diagnosis from Multi-View Ultrasound Images.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
MAT-VIT: A Vision Transformer with MAE-Based Self-Supervised Auxiliary Task for Medical Image Classification.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024
2023
OII-DS: A benchmark Oral Implant Image Dataset for object detection and image classification evaluation.
Comput. Biol. Medicine, December, 2023
CAM-VT: A Weakly supervised cervical cancer nest image identification approach using conjugated attention mechanism and visual transformer.
Comput. Biol. Medicine, August, 2023
MS-UNet-v2: Adaptive Denoising Method and Training Strategy for Medical Image Segmentation with Small Training Data.
CoRR, 2023
MS-UNet: Swin Transformer U-Net with Multi-scale Nested Decoder for Medical Image Segmentation with Small Training Data.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023
Proceedings of the Theoretical Computer Science - 41st National Conference, 2023
Predicting PD-L1 status of esophageal cancer from H&E images based on FusedNet model.
Proceedings of the IEEE International Conference on Big Data, 2023
HBC: Combining Lossy and Lossless Hybrid Bilayer Compression Framework on Time-Series Data.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023
2022
CVM-Cervix: A hybrid cervical Pap-smear image classification framework using CNN, visual transformer and multilayer perceptron.
Pattern Recognit., 2022
GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection.
Pattern Recognit., 2022
Staged query graph generation based on answer type for question answering over knowledge base.
Knowl. Based Syst., 2022
Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Matérn Correlations.
J. Mach. Learn. Res., 2022
EBHI-Seg: A Novel Enteroscope Biopsy Histopathological Haematoxylin and Eosin Image Dataset for Image Segmentation Tasks.
CoRR, 2022
A Comparative Study of Gastric Histopathology Sub-size Image Classification: from Linear Regression to Visual Transformer.
CoRR, 2022
Application of Graph Based Features in Computer Aided Diagnosis for Histopathological Image Classification of Gastric Cancer.
CoRR, 2022
Application of Transfer Learning and Ensemble Learning in Image-level Classification for Breast Histopathology.
CoRR, 2022
EBHI: A New Enteroscope Biopsy Histopathological H&E Image Dataset for Image Classification Evaluation.
CoRR, 2022
Is the aspect ratio of cells important in deep learning? A robust comparison of deep learning methods for multi-scale cytopathology cell image classification: From convolutional neural networks to visual transformers.
Comput. Biol. Medicine, 2022
GasHisSDB: A new gastric histopathology image dataset for computer aided diagnosis of gastric cancer.
Comput. Biol. Medicine, 2022
IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach.
Comput. Biol. Medicine, 2022
A hierarchical conditional random field-based attention mechanism approach for gastric histopathology image classification.
Appl. Intell., 2022
Proceedings of the Theoretical Computer Science - 40th National Conference, 2022
Financial fraud identification considering investor heterogeneous beliefs: Evidence from Chinese listed companies.
Proceedings of the 9th International Conference on Information Technology and Quantitative Management, 2022
Proceedings of the Information Technology in Biomedicine - 9th International Conference, 2022
Proceedings of the Information Technology in Biomedicine - 9th International Conference, 2022
2021
A New Gastric Histopathology Subsize Image Database (GasHisSDB) for Classification Algorithm Test: from Linear Regression to Visual Transformer.
CoRR, 2021
A Comparison for Anti-noise Robustness of Deep Learning Classification Methods on a Tiny Object Image Dataset: from Convolutional Neural Network to Visual Transformer and Performer.
CoRR, 2021
Is Image Size Important? A Robustness Comparison of Deep Learning Methods for Multi-scale Cell Image Classification Tasks: from Convolutional Neural Networks to Visual Transformers.
CoRR, 2021
GasHis-Transformer: A Multi-scale Visual Transformer Approach for Gastric Histopathology Image Classification.
CoRR, 2021
2019
IEEE Access, 2019
2018
Proceedings of the Machine Learning and Intelligent Communications, 2018
2017
Tripartite Effects: Exploring Users' Mental Model of Mobile Gestures under the Influence of Operation, Handheld Posture, and Interaction Space.
Int. J. Hum. Comput. Interact., 2017
2016
RepEx: A Flexible Framework for Scalable Replica Exchange Molecular Dynamics Simulations.
Proceedings of the 45th International Conference on Parallel Processing, 2016
2015
J. Comput. Aided Mol. Des., 2015