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Benyuan Liu
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Publications
- 2023
- [c106]Xizhe Wang, Zhang Zhang, Jing Guo, Peng Zhang, Qilei Chen, Yu Cao, Xinwen Fu, Benyuan Liu:
A Greedy Algorithm-Based Self-Training Pipeline for Expansion of Dental Caries Dataset. HealthCom 2023: 26-32 - [c105]Zhang Zhang, Xizhe Wang, Shuijiao Chen, Xiaowei Liu, Qilei Chen, Yizhe Zhang, Yu Cao, Benyuan Liu:
MLMSA: Multi-Level and Multi-Scale Attention for Lesion Detection in Endoscopy. HealthCom 2023: 144-150 - [c104]Xizhe Wang, Zhang Zhang, Qilei Chen, Yani Yin, Guanghui Lian, Shuijiao Chen, Xiaowei Liu, Yu Cao, Benyuan Liu:
A CNN-Based Disease Detection Framework for Wireless Capsule Endoscopy Videos. HealthCom 2023: 164-170 - [c103]Xizhe Wang, Jing Guo, Peng Zhang, Qilei Chen, Zhang Zhang, Yu Cao, Xinwen Fu, Benyuan Liu:
A Deep Learning Framework with Pruning RoI Proposal for Dental Caries Detection in Panoramic X-ray Images. ICONIP (3) 2023: 524-536 - [c102]Zubin Bhuyan, Qilei Chen, Yuanchang Xie, Yu Cao, Benyuan Liu:
Modeling the Risk of Truck Rollover Crashes on Highway Ramps Using Drone Video Data and Mask-RCNN. ITSC 2023: 4052-4058 - 2022
- [j35]Terence Griffin, Qilei Chen, Xinzi Sun, Dechun Wang, Maria J. Brunette, Yu Cao, Benyuan Liu:
eRxNet: A Pipeline of Convolutional Neural Networks for Tuberculosis Screening. Int. J. Semantic Comput. 16(1): 69-92 (2022) - [j34]Dechun Wang, Shuijiao Chen, Xinzi Sun, Qilei Chen, Yu Cao, Benyuan Liu, Xiaowei Liu:
AFP-Mask: Anchor-Free Polyp Instance Segmentation in Colonoscopy. IEEE J. Biomed. Health Informatics 26(7): 2995-3006 (2022) - [j33]Xinzi Sun, Yuanchang Xie, Liming Jiang, Yu Cao, Benyuan Liu:
DMA-Net: DeepLab With Multi-Scale Attention for Pavement Crack Segmentation. IEEE Trans. Intell. Transp. Syst. 23(10): 18392-18403 (2022) - [c100]Zinan Xiong, Qilei Chen, Chenxi Zhang, Yu Cao, Benyuan Liu, Yu Wu, Yu Peng, Xiaowei Liu:
Deep Learning Assisted Mouth-Esophagus Passage Time Estimation During Gastroscopy. ICTAI 2022: 1105-1111 - [c99]Jing Ni, Zubin Bhuyan, Qilei Chen, Xinzi Sun, Dechun Wang, Yu Cao, Benyuan Liu:
Enhance Chest X-ray Classification with Multi-image Fusion and Pseudo-3D Reconstruction. IJCNN 2022: 1-8 - [c98]Jing Ni, Qilei Chen, Ping Liu, Yu Cao, Benyuan Liu:
Spotlight scheme: enhancing medical image classification with lesion location information. Medical Imaging: Computer-Aided Diagnosis 2022 - [c97]Xinzi Sun, Dechun Wang, Qilei Chen, Jing Ni, Shuijiao Chen, Xiaowei Liu, Yu Cao, Benyuan Liu:
MAF-Net: Multi-branch Anchor-Free Detector for Polyp Localization and Classification in Colonoscopy. MIDL 2022: 1162-1172 - [i33]Xizhe Wang, Ning Zhang, Jia Wang, Jing Ni, Xinzi Sun, John Zhang, Zitao Liu, Yu Cao, Benyuan Liu:
A Knowledge-Based Decision Support System for In Vitro Fertilization Treatment. CoRR abs/2201.11802 (2022) - [i32]Jia Wang, Hongwei Zhu, Jiancheng Shen, Yu Cao, Benyuan Liu:
Dual-CLVSA: a Novel Deep Learning Approach to Predict Financial Markets with Sentiment Measurements. CoRR abs/2202.03158 (2022) - 2021
- [c96]Alexander Ding, Ying Li, Qilei Chen, Yu Cao, Benyuan Liu, Shujiao Chen, Xiaowei Liu:
Gastric Location Classification During Esophagogastroduodenoscopy Using Deep Neural Networks. BIBE 2021: 1-8 - [c95]Ying Li, Alexander Ding, Yu Cao, Benyuan Liu, Shuijiao Chen, Xiaowei Liu:
Detection of Endoscope Withdrawal Time in Colonoscopy Videos. ICMLA 2021: 67-74 - [c94]Jia Wang, Hongwei Zhu, Jiancheng Shen, Yu Cao, Benyuan Liu:
Dual-CLVSA: a Novel Deep Learning Approach to Predict Financial Markets with Sentiment Measurements. ICMLA 2021: 357-364 - [c93]Terence Griffin, Qilei Chen, Xinzi Sun, Dechun Wang, Maria J. Brunette, Yu Cao, Benyuan Liu:
eRxNet: A Pipeline of Convolutional Neural Networks for Tuberculosis Screening. TransAI 2021: 47-56 - [i30]Xinzi Sun, Dechun Wang, Chenxi Zhang, Pengfei Zhang, Zinan Xiong, Yu Cao, Benyuan Liu, Xiaowei Liu, Shuijiao Chen:
Colorectal Polyp Detection in Real-world Scenario: Design and Experiment Study. CoRR abs/2101.04034 (2021) - [i29]Jia Wang, Tong Sun, Benyuan Liu, Yu Cao, Hongwei Zhu:
CLVSA: A Convolutional LSTM Based Variational Sequence-to-Sequence Model with Attention for Predicting Trends of Financial Markets. CoRR abs/2104.04041 (2021) - [i28]Jia Wang, Tong Sun, Benyuan Liu, Yu Cao, Degang Wang:
Financial Markets Prediction with Deep Learning. CoRR abs/2104.05413 (2021) - 2020
- [j31]Cesar Ugarte-Gil, Maria Icochea, Juan Carlos Llontop Otero, Katerine Villaizan, Nicola Young, Yu Cao, Benyuan Liu, Terence Griffin, Maria J. Brunette:
Implementing a socio-technical system for computer-aided tuberculosis diagnosis in Peru: A field trial among health professionals in resource-constraint settings. Health Informatics J. 26(4): 2762-2775 (2020) - [c92]Xizhe Wang, Ning Zhang, Jia Wang, Jing Ni, Xinzi Sun, John Zhang, Zitao Liu, Yu Cao, Benyuan Liu:
A Knowledge-Based Decision Support System for In Vitro Fertilization Treatment. HealthCom 2020: 1-8 - [c91]Xinzi Sun, Dechun Wang, Chenxi Zhang, Pengfei Zhang, Zinan Xiong, Yu Cao, Benyuan Liu, Xiaowei Liu, Shuijiao Chen:
Colorectal Polyp Detection in Real-world Scenario: Design and Experiment Study. ICTAI 2020: 706-713 - [c90]Qilei Chen, Ping Liu, Jing Ni, Yu Cao, Benyuan Liu, Honggang Zhang:
Pseudo-Labeling for Small Lesion Detection on Diabetic Retinopathy Images. IJCNN 2020: 1-8 - [c89]Alexander Ding, Qilei Chen, Yu Cao, Benyuan Liu:
Retinopathy of Prematurity Stage Diagnosis Using Object Segmentation and Convolutional Neural Networks. IJCNN 2020: 1-6 - [c88]Ying Li, Chenxi Wang, Yu Cao, Benyuan Liu, Joanna Tan, Yan Luo:
Human pose estimation based in-home lower body rehabilitation system. IJCNN 2020: 1-8 - [i26]Ning Zhang, Yu Cao, Benyuan Liu, Yan Luo:
3D Aggregated Faster R-CNN for General Lesion Detection. CoRR abs/2001.11071 (2020) - [i25]Qilei Chen, Ping Liu, Jing Ni, Yu Cao, Benyuan Liu, Honggang Zhang:
Pseudo-Labeling for Small Lesion Detection on Diabetic Retinopathy Images. CoRR abs/2003.12040 (2020) - [i24]Alexander Ding, Qilei Chen, Yu Cao, Benyuan Liu:
Retinopathy of Prematurity Stage Diagnosis Using Object Segmentation and Convolutional Neural Networks. CoRR abs/2004.01582 (2020) - 2019
- [c87]Tong Sun, Jia Wang, Jing Ni, Yu Cao, Benyuan Liu:
End-to-end deep learning based trading platform and its evaluation. ACM TUR-C 2019: 92:1-92:5 - [c85]Xinzi Sun, Ning Zhang, Qilei Chen, Yu Cao, Benyuan Liu:
People Re-Identification by Multi-Branch CNN with Multi-Scale Features. ICIP 2019: 2269-2273 - [c84]Pengfei Zhang, Yu Cao, Benyuan Liu:
Multi-Stream Single Shot Spatial-Temporal Action Detection. ICIP 2019: 3691-3695 - [c83]Tong Sun, Jia Wang, Jing Ni, Yu Cao, Benyuan Liu:
Predicting Futures Market Movement using Deep Neural Networks. ICMLA 2019: 118-125 - [c82]Chang Liu, Xizhe Wang, Jing Ni, Yu Cao, Benyuan Liu:
An Edge Computing Visual System for Vegetable Categorization. ICMLA 2019: 625-632 - [c81]Xinzi Sun, Pengfei Zhang, Dechun Wang, Yu Cao, Benyuan Liu:
Colorectal Polyp Segmentation by U-Net with Dilation Convolution. ICMLA 2019: 851-858 - [c80]Jing Ni, Qilei Chen, Chang Liu, Honghao Wang, Yu Cao, Benyuan Liu:
An Effective CNN Approach for Diabetic Retinopathy Stage Classification with Dual Inputs and Selective Data Sampling. ICMLA 2019: 1578-1584 - [c79]Qilei Chen, Xinzi Sun, Ning Zhang, Yu Cao, Benyuan Liu:
Mini Lesions Detection on Diabetic Retinopathy Images via Large Scale CNN Features. ICTAI 2019: 348-352 - [c78]Dechun Wang, Ning Zhang, Xinzi Sun, Pengfei Zhang, Chenxi Zhang, Yu Cao, Benyuan Liu:
AFP-Net: Realtime Anchor-Free Polyp Detection in Colonoscopy. ICTAI 2019: 636-643 - [c77]Pengfei Zhang, Xinzi Sun, Dechun Wang, Xizhe Wang, Yu Cao, Benyuan Liu:
An Efficient Spatial-Temporal Polyp Detection Framework for Colonoscopy Video. ICTAI 2019: 1252-1259 - [c76]Jia Wang, Tong Sun, Benyuan Liu, Yu Cao, Hongwei Zhu:
CLVSA: A Convolutional LSTM Based Variational Sequence-to-Sequence Model with Attention for Predicting Trends of Financial Markets. IJCAI 2019: 3705-3711 - [c74]Zhi Cao, Honggang Zhang, Yu Cao, Benyuan Liu:
A Deep Reinforcement Learning Approach to Multi-Component Job Scheduling in Edge Computing. MSN 2019: 19-24 - [i23]Pengfei Zhang, Yu Cao, Benyuan Liu:
Multi-Stream Single Shot Spatial-Temporal Action Detection. CoRR abs/1908.08178 (2019) - [i21]Ning Zhang, Dechun Wang, Xinzi Sun, Pengfei Zhang, Chenxi Zhang, Yu Cao, Benyuan Liu:
3D Anchor-Free Lesion Detector on Computed Tomography Scans. CoRR abs/1908.11324 (2019) - [i20]Dechun Wang, Ning Zhang, Xinzi Sun, Pengfei Zhang, Chenxi Zhang, Yu Cao, Benyuan Liu:
AFP-Net: Realtime Anchor-Free Polyp Detection in Colonoscopy. CoRR abs/1909.02477 (2019) - [i19]Qilei Chen, Xinzi Sun, Ning Zhang, Yu Cao, Benyuan Liu:
Mini Lesions Detection on Diabetic Retinopathy Images via Large Scale CNN Features. CoRR abs/1911.08588 (2019) - [i18]Xinzi Sun, Pengfei Zhang, Dechun Wang, Yu Cao, Benyuan Liu:
Colorectal Polyp Segmentation by U-Net with Dilation Convolution. CoRR abs/1912.11947 (2019) - 2018
- [c71]Jia Wang, Tong Sun, Benyuan Liu, Yu Cao, Degang Wang:
Financial Markets Prediction with Deep Learning. ICMLA 2018: 97-104 - 2017
- [c67]Tong Sun, Jia Wang, Pengfei Zhang, Yu Cao, Benyuan Liu, Degang Wang:
Predicting Stock Price Returns Using Microblog Sentiment for Chinese Stock Market. BigCom 2017: 87-96 - [c65]Chang Liu, Yu Cao, Marlon Fernandes de Alcântara, Benyuan Liu, Maria J. Brunette, Jesús Peinado, Walter H. Curioso:
TX-CNN: Detecting tuberculosis in chest X-ray images using convolutional neural network. ICIP 2017: 2314-2318 - [c64]Ning Zhang, Yu Cao, Benyuan Liu, Yan Luo:
Improved Multimodal Representation Learning with Skip Connections. ACM Multimedia 2017: 654-662 - 2016
- [c62]Yu Cao, Chang Liu, Benyuan Liu, Maria J. Brunette, Ning Zhang, Tong Sun, Peifeng Zhang, Jesús Peinado, Epifanio Sanchez Garavito, Leonid Lecca Garcia, Walter H. Curioso:
Improving Tuberculosis Diagnostics Using Deep Learning and Mobile Health Technologies among Resource-Poor and Marginalized Communities. CHASE 2016: 274-281
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