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ORCIDHaoyuan Chen
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j17]Haoyuan Chen
, Xiaoqi Li, Chen Li, Md Mamunur Rahaman, Xintong Li, Jian Wu, Hongzan Sun, Marcin Grzegorzek, Xiaoyan Li:
What can machine vision do for lymphatic histopathology image analysis: a comprehensive review. Artif. Intell. Rev. 57(3): 71 (2024)- [j16]Haoyuan Chen, Nuobei Shi, Ling Chen, Raymond Lee:
Enhancing educational Q&A systems using a Chaotic Fuzzy Logic-Augmented large language model. Frontiers Artif. Intell. 7 (2024) - [j15]Haoyuan Chen, Liang Liu, Jingwen Meng, Wanying Lu:
AFC: An adaptive lossless floating-point compression algorithm in time series database. Inf. Sci. 654: 119847 (2024) - [j14]Xiaoyu Wen, Xudong Yu, Rui Yang, Haoyuan Chen, Chenjia Bai, Zhen Wang:
Towards Robust Offline-to-Online Reinforcement Learning via Uncertainty and Smoothness. J. Artif. Intell. Res. 81: 481-509 (2024) - [c13]Yufei Han, Haoyuan Chen, Linwei Yao, Kuan Li, Jianping Yin:
MAT-VIT: A Vision Transformer with MAE-Based Self-Supervised Auxiliary Task for Medical Image Classification. CSCWD 2024: 2046-2052 - [c12]Pin Xu, Yanyi Li, Yufei Han, Haoyuan Chen, Kuan Li, Jianping Yin:
Leveraging Sample Complementarity: A Novel Ensemble Strategy. IJCNN 2024: 1-8 - [c11]Haoyuan Chen, Yonghao Li, Jiadong Zhang, Qi Xu, Meiyu Li, Zhenhui Li, Xuejun Qian, Dinggang Shen:
IRUM: An Image Representation and Unified Learning Method for Breast Cancer Diagnosis from Multi-View Ultrasound Images. MLMI@MICCAI (1) 2024: 22-30 - [i17]Haoyuan Chen, Rui Tuo:
Aggregation Models with Optimal Weights for Distributed Gaussian Processes. CoRR abs/2408.00955 (2024) - 2023
- [j13]Zizhen Fan, Xiangchen Wu, Changzhong Li, Haoyuan Chen, Wanli Liu, Yuchao Zheng, Jing Chen, Xiaoyan Li, Hongzan Sun, Tao Jiang, Marcin Grzegorzek, Chen Li:
CAM-VT: A Weakly supervised cervical cancer nest image identification approach using conjugated attention mechanism and visual transformer. Comput. Biol. Medicine 162: 107070 (2023) - [j12]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:
OII-DS: A benchmark Oral Implant Image Dataset for object detection and image classification evaluation. Comput. Biol. Medicine 167: 107620 (2023) - [c10]Wanying Lu, Liang Liu, Wenbin Zhai, Haoyuan Chen, Yulei Liu:
HBC: Combining Lossy and Lossless Hybrid Bilayer Compression Framework on Time-Series Data. ISPA/BDCloud/SocialCom/SustainCom 2023: 670-679 - [c9]Minghe Gao, Chen Li, Jingyu Zhang, Haoyuan Chen, Weiming Hu, Hechen Yang, Liyu Shi, Yujie Jing, Shuaiyi Tian, Hongzan Sun, Marcin Grzegorzek, Xiaoyan Li:
Predicting PD-L1 status of esophageal cancer from H&E images based on FusedNet model. IEEE Big Data 2023: 4397-4405 - [c8]Yanyi Li, Pin Xu, Haoyuan Chen, Yufei Han, Guojian Xiao, Kuan Li, Jianping Yin:
Coordinated Reconstruction Dual-Branch Network for Low-Dose PET Reconstruction. NCTCS 2023: 190-200 - [c7]Haoyuan Chen, Yufei Han, Yanyi Li, Pin Xu, Kuan Li, Jianping Yin:
MS-UNet: Swin Transformer U-Net with Multi-scale Nested Decoder for Medical Image Segmentation with Small Training Data. PRCV (13) 2023: 472-483 - [i16]Lu Zou, Haoyuan Chen, Liang Ding:
Representing Additive Gaussian Processes by Sparse Matrices. CoRR abs/2305.00324 (2023) - [i15]Haoyuan Chen, Yufei Han, Pin Xu, Yanyi Li, Kuan Li, Jianping Yin:
MS-UNet-v2: Adaptive Denoising Method and Training Strategy for Medical Image Segmentation with Small Training Data. CoRR abs/2309.03686 (2023) - 2022
- [j11]Yixin Li, Xinran Wu, Chen Li, Xiaoyan Li, Haoyuan Chen, Changhao Sun, Md Mamunur Rahaman, Yudong Yao, Yong Zhang, Tao Jiang:
A hierarchical conditional random field-based attention mechanism approach for gastric histopathology image classification. Appl. Intell. 52(9): 9717-9738 (2022) - [j10]Wanli Liu, Chen Li, Md Mamunur Rahaman, Tao Jiang, Hongzan Sun, Xiangchen Wu, Weiming Hu, Haoyuan Chen, Changhao Sun, Yudong Yao, Marcin Grzegorzek:
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 141: 105026 (2022) - [j9]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:
GasHisSDB: A new gastric histopathology image dataset for computer aided diagnosis of gastric cancer. Comput. Biol. Medicine 142: 105207 (2022) - [j8]Haoyuan Chen, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Weiming Hu, Yixin Li, Wanli Liu, Changhao Sun, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek:
IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach. Comput. Biol. Medicine 143: 105265 (2022) - [j7]Haoyuan Chen, Liang Ding, Rui Tuo:
Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Matérn Correlations. J. Mach. Learn. Res. 23: 127:1-127:32 (2022) - [j6]Haoyuan Chen, Fei Ye, Yuankai Fan, Zhenying He, Yinan Jing, Kai Zhang, X. Sean Wang:
Staged query graph generation based on answer type for question answering over knowledge base. Knowl. Based Syst. 253: 109576 (2022) - [j5]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:
GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection. Pattern Recognit. 130: 108827 (2022) - [j4]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:
CVM-Cervix: A hybrid cervical Pap-smear image classification framework using CNN, visual transformer and multilayer perceptron. Pattern Recognit. 130: 108829 (2022) - [c6]Wanli Liu, Chen Li, Hongzan Sun, Weiming Hu, Haoyuan Chen, Marcin Grzegorzek:
DVT: Application of Deep Visual Transformer in Cervical Cell Image Classification. ITIB 2022: 285-294 - [c5]Yuchao Zheng, Chen Li, Xiaomin Zhou, Haoyuan Chen, Haiqing Zhang, Yixin Li, Hongzan Sun, Marcin Grzegorzek:
Image Classification in Breast Histopathology Using Transfer and Ensemble Learning. ITIB 2022: 295-306 - [c4]Zihan Liu, Haoyuan Chen, Yuanke Zhang, Jingyu Li:
Financial fraud identification considering investor heterogeneous beliefs: Evidence from Chinese listed companies. ITQM 2022: 1301-1308 - [c3]Yufei Han, Haoyuan Chen, Pin Xu, Yanyi Li, Kuan Li, Jianping Yin:
Hybrid Pre-training Based on Masked Autoencoders for Medical Image Segmentation. NCTCS 2022: 175-182 - [i14]Xiaoqi Li, Haoyuan Chen, Chen Li, Md Mamunur Rahaman, Xintong Li, Jian Wu, Xiaoyan Li, Hongzan Sun, Marcin Grzegorzek:
What Can Machine Vision Do for Lymphatic Histopathology Image Analysis: A Comprehensive Review. CoRR abs/2201.08550 (2022) - [i13]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:
EBHI: A New Enteroscope Biopsy Histopathological H&E Image Dataset for Image Classification Evaluation. CoRR abs/2202.08552 (2022) - [i12]Haoyuan Chen, Liang Ding, Rui Tuo:
Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Matérn Correlations. CoRR abs/2203.03116 (2022) - [i11]Yuchao Zheng, Chen Li, Xiaomin Zhou, Haoyuan Chen, Hao Xu, Yixin Li, Haiqing Zhang, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek:
Application of Transfer Learning and Ensemble Learning in Image-level Classification for Breast Histopathology. CoRR abs/2204.08311 (2022) - [i10]Haiqing Zhang, Chen Li, Shiliang Ai, Haoyuan Chen, Yuchao Zheng, Yixin Li, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek:
Application of Graph Based Features in Computer Aided Diagnosis for Histopathological Image Classification of Gastric Cancer. CoRR abs/2205.08467 (2022) - [i9]Weiming Hu, Haoyuan Chen, Wanli Liu, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek, Chen Li:
A Comparative Study of Gastric Histopathology Sub-size Image Classification: from Linear Regression to Visual Transformer. CoRR abs/2205.12843 (2022) - [i8]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:
CVM-Cervix: A Hybrid Cervical Pap-Smear Image Classification Framework Using CNN, Visual Transformer and Multilayer Perceptron. CoRR abs/2206.00971 (2022) - [i7]Haoyuan Chen, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Weiming Hu, Yixin Li, Wanli Liu, Changhao Sun, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek:
IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach. CoRR abs/2206.03368 (2022) - [i6]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:
EBHI-Seg: A Novel Enteroscope Biopsy Histopathological Haematoxylin and Eosin Image Dataset for Image Segmentation Tasks. CoRR abs/2212.00532 (2022) - 2021
- [i5]Haoyuan Chen, Chen Li, Xiaoyan Li, Weiming Hu, Yixin Li, Wanli Liu, Changhao Sun, Yudong Yao, Marcin Grzegorzek:
GasHis-Transformer: A Multi-scale Visual Transformer Approach for Gastric Histopathology Image Classification. CoRR abs/2104.14528 (2021) - [i4]Wanli Liu, Chen Li, Hongzan Sun, Weiming Hu, Haoyuan Chen, Changhao Sun, Marcin Grzegorzek:
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 abs/2105.07402 (2021) - [i3]Ao Chen, Chen Li, Haoyuan Chen, Hechen Yang, Peng Zhao, Weiming Hu, Wanli Liu, Shuojia Zou, Marcin Grzegorzek:
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 abs/2106.01927 (2021) - [i2]Weiming Hu, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Jiquan Ma, Haoyuan Chen, Wanli Liu, Changhao Sun, Marcin Grzegorzek:
A New Gastric Histopathology Subsize Image Database (GasHisSDB) for Classification Algorithm Test: from Linear Regression to Visual Transformer. CoRR abs/2106.02473 (2021)
2010 – 2019
- 2019
- [j3]Zhichang Zhang, Zhenwen Zhang, Haoyuan Chen, Zhiman Zhang:
A Joint Learning Framework With BERT for Spoken Language Understanding. IEEE Access 7: 168849-168858 (2019) - 2018
- [c2]Haoyuan Chen, Yali Fan, Jing Jiang, Xiang Chen:
Mobility Prediction Based on POI-Clustered Data. MLICOM 2018: 60-72 - 2017
- [j2]Kening Zhu, Xiaojuan Ma, Haoyuan Chen, Miaoyin Liang:
Tripartite Effects: Exploring Users' Mental Model of Mobile Gestures under the Influence of Operation, Handheld Posture, and Interaction Space. Int. J. Hum. Comput. Interact. 33(6): 443-459 (2017) - 2016
- [c1]Antons Treikalis, André Merzky, Haoyuan Chen, Tai-Sung Lee, Darrin M. York, Shantenu Jha:
RepEx: A Flexible Framework for Scalable Replica Exchange Molecular Dynamics Simulations. ICPP 2016: 628-637 - [i1]Antons Treikalis, André Merzky, Haoyuan Chen, Tai-Sung Lee, Darrin M. York, Shantenu Jha:
RepEx: A Flexible Framework for Scalable Replica Exchange Molecular Dynamics Simulations. CoRR abs/1601.05439 (2016) - 2015
- [j1]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:
BEDAM binding free energy predictions for the SAMPL4 octa-acid host challenge. J. Comput. Aided Mol. Des. 29(4): 315-325 (2015)
Coauthor Index
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