Haoyuan Chen

According to our database, Haoyuan Chen authored at least 36 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

What can machine vision do for lymphatic histopathology image analysis: a comprehensive review.

Haoyuan Chen, Xiaoqi Li, Chen Li, Md Mamunur Rahaman, Xintong Li, Jian Wu, Hongzan Sun, Marcin Grzegorzek, Xiaoyan Li

Artif. Intell. Rev., March, 2024

AFC: An adaptive lossless floating-point compression algorithm in time series database.

Haoyuan Chen, Liang Liu, Jingwen Meng, Wanying Lu

Inf. Sci., January, 2024

2023

OII-DS: A benchmark Oral Implant Image Dataset for object detection and image classification evaluation.

Qianqing Nie, Chen Li, Jinzhu Yang, Yudong Yao, Hongzan Sun, Tao Jiang, Marcin Grzegorzek, Ao Chen, Haoyuan Chen, Weiming Hu, Rui Li, Jiawei Zhang, Danning Wang

Comput. Biol. Medicine, December, 2023

CAM-VT: A Weakly supervised cervical cancer nest image identification approach using conjugated attention mechanism and visual transformer.

Zizhen Fan, Xiangchen Wu, Changzhong Li, Haoyuan Chen, Wanli Liu, Yuchao Zheng, Jing Chen, Xiaoyan Li, Hongzan Sun, Tao Jiang, Marcin Grzegorzek, Chen Li

Comput. Biol. Medicine, August, 2023

MS-UNet-v2: Adaptive Denoising Method and Training Strategy for Medical Image Segmentation with Small Training Data.

Haoyuan Chen, Yufei Han, Pin Xu, Yanyi Li, Kuan Li, Jianping Yin

CoRR, 2023

Representing Additive Gaussian Processes by Sparse Matrices.

Lu Zou, Haoyuan Chen, Liang Ding

CoRR, 2023

MS-UNet: Swin Transformer U-Net with Multi-scale Nested Decoder for Medical Image Segmentation with Small Training Data.

Haoyuan Chen, Yufei Han, Yanyi Li, Pin Xu, Kuan Li, Jianping Yin

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Coordinated Reconstruction Dual-Branch Network for Low-Dose PET Reconstruction.

Yanyi Li, Pin Xu, Haoyuan Chen, Yufei Han, Guojian Xiao, Kuan Li, Jianping Yin

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.

Minghe Gao, Chen Li, Jingyu Zhang, Haoyuan Chen, Weiming Hu, Hechen Yang, Liyu Shi, Yujie Jing, Shuaiyi Tian, Hongzan Sun, Marcin Grzegorzek, Xiaoyan Li

Proceedings of the IEEE International Conference on Big Data, 2023

HBC: Combining Lossy and Lossless Hybrid Bilayer Compression Framework on Time-Series Data.

Wanying Lu, Liang Liu, Wenbin Zhai, Haoyuan Chen, Yulei Liu

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.

Wanli Liu, Chen Li, Ning Xu, Tao Jiang, Md Mamunur Rahaman, Hongzan Sun, Xiangchen Wu, Weiming Hu, Haoyuan Chen, Changhao Sun, Yudong Yao, Marcin Grzegorzek

Pattern Recognit., 2022

GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection.

Haoyuan Chen, Chen Li, Ge Wang, Xiaoyan Li, Md Mamunur Rahaman, Hongzan Sun, Weiming Hu, Yixin Li, Wanli Liu, Changhao Sun, Shiliang Ai, Marcin Grzegorzek

Pattern Recognit., 2022

Staged query graph generation based on answer type for question answering over knowledge base.

Haoyuan Chen, Fei Ye, Yuankai Fan, Zhenying He, Yinan Jing, Kai Zhang, X. Sean Wang

Knowl. Based Syst., 2022

Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Matérn Correlations.

Haoyuan Chen, Liang Ding, Rui Tuo

J. Mach. Learn. Res., 2022

EBHI-Seg: A Novel Enteroscope Biopsy Histopathological Haematoxylin and Eosin Image Dataset for Image Segmentation Tasks.

Liyu Shi, Xiaoyan Li, Weiming Hu, Haoyuan Chen, Jing Chen, Zizhen Fan, Minghe Gao, Yujie Jing, Guotao Lu, Deguo Ma, Zhiyu Ma, Qingtao Meng, Dechao Tang, Hongzan Sun, Marcin Grzegorzek, Shouliang Qi, Yueyang Teng, Chen Li

CoRR, 2022

A Comparative Study of Gastric Histopathology Sub-size Image Classification: from Linear Regression to Visual Transformer.

Weiming Hu, Haoyuan Chen, Wanli Liu, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek, Chen Li

CoRR, 2022

Application of Graph Based Features in Computer Aided Diagnosis for Histopathological Image Classification of Gastric Cancer.

Haiqing Zhang, Chen Li, Shiliang Ai, Haoyuan Chen, Yuchao Zheng, Yixin Li, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek

CoRR, 2022

Application of Transfer Learning and Ensemble Learning in Image-level Classification for Breast Histopathology.

Yuchao Zheng, Chen Li, Xiaomin Zhou, Haoyuan Chen, Hao Xu, Yixin Li, Haiqing Zhang, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek

CoRR, 2022

EBHI: A New Enteroscope Biopsy Histopathological H&E Image Dataset for Image Classification Evaluation.

Weiming Hu, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Yong Zhang, Haoyuan Chen, Wanli Liu, Yudong Yao, Hongzan Sun, Ning Xu, Xinyu Huang, Marcin Grzegorzek

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.

Wanli Liu, Chen Li, Md Mamunur Rahaman, Tao Jiang, Hongzan Sun, Xiangchen Wu, Weiming Hu, Haoyuan Chen, Changhao Sun, Yudong Yao, Marcin Grzegorzek

Comput. Biol. Medicine, 2022

GasHisSDB: A new gastric histopathology image dataset for computer aided diagnosis of gastric cancer.

Weiming Hu, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Jiquan Ma, Yong Zhang, Haoyuan Chen, Wanli Liu, Changhao Sun, Yudong Yao, Hongzan Sun, Marcin Grzegorzek

Comput. Biol. Medicine, 2022

IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach.

Haoyuan Chen, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Weiming Hu, Yixin Li, Wanli Liu, Changhao Sun, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek

Comput. Biol. Medicine, 2022

A hierarchical conditional random field-based attention mechanism approach for gastric histopathology image classification.

Yixin Li, Xinran Wu, Chen Li, Xiaoyan Li, Haoyuan Chen, Changhao Sun, Md Mamunur Rahaman, Yudong Yao, Yong Zhang, Tao Jiang

Appl. Intell., 2022

Hybrid Pre-training Based on Masked Autoencoders for Medical Image Segmentation.

Yufei Han, Haoyuan Chen, Pin Xu, Yanyi Li, Kuan Li, Jianping Yin

Proceedings of the Theoretical Computer Science - 40th National Conference, 2022

Financial fraud identification considering investor heterogeneous beliefs: Evidence from Chinese listed companies.

Zihan Liu, Haoyuan Chen, Yuanke Zhang, Jingyu Li

Proceedings of the 9th International Conference on Information Technology and Quantitative Management, 2022

Image Classification in Breast Histopathology Using Transfer and Ensemble Learning.

Yuchao Zheng, Chen Li, Xiaomin Zhou, Haoyuan Chen, Haiqing Zhang, Yixin Li, Hongzan Sun, Marcin Grzegorzek

Proceedings of the Information Technology in Biomedicine - 9th International Conference, 2022

DVT: Application of Deep Visual Transformer in Cervical Cell Image Classification.

Wanli Liu, Chen Li, Hongzan Sun, Weiming Hu, Haoyuan Chen, Marcin Grzegorzek

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.

Weiming Hu, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Jiquan Ma, Haoyuan Chen, Wanli Liu, Changhao Sun, Marcin Grzegorzek

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.

Ao Chen, Chen Li, Haoyuan Chen, Hechen Yang, Peng Zhao, Weiming Hu, Wanli Liu, Shuojia Zou, Marcin Grzegorzek

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.

Wanli Liu, Chen Li, Hongzan Sun, Weiming Hu, Haoyuan Chen, Changhao Sun, Marcin Grzegorzek

CoRR, 2021

GasHis-Transformer: A Multi-scale Visual Transformer Approach for Gastric Histopathology Image Classification.

Haoyuan Chen, Chen Li, Xiaoyan Li, Weiming Hu, Yixin Li, Wanli Liu, Changhao Sun, Yudong Yao, Marcin Grzegorzek

CoRR, 2021

2019

A Joint Learning Framework With BERT for Spoken Language Understanding.

Zhichang Zhang, Zhenwen Zhang, Haoyuan Chen, Zhiman Zhang

IEEE Access, 2019

2018

Mobility Prediction Based on POI-Clustered Data.

Haoyuan Chen, Yali Fan, Jing Jiang, Xiang Chen

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.

Kening Zhu, Xiaojuan Ma, Haoyuan Chen, Miaoyin Liang

Int. J. Hum. Comput. Interact., 2017

2016

RepEx: A Flexible Framework for Scalable Replica Exchange Molecular Dynamics Simulations.

Antons Treikalis, André Merzky, Haoyuan Chen, Tai-Sung Lee, Darrin M. York, Shantenu Jha

Proceedings of the 45th International Conference on Parallel Processing, 2016

2015

BEDAM binding free energy predictions for the SAMPL4 octa-acid host challenge.

Emilio Gallicchio, Haoyuan Chen, He Chen, Michael Fitzgerald, Yang Gao, Peng He, Malathi Kalyanikar, Chuan Kao, Beidi Lu, Yijie Niu, Manasi A. Pethe, Jie Zhu, Ronald M. Levy

J. Comput. Aided Mol. Des., 2015