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Yu Cao 0002
Person information
- affiliation: University of Massachusetts, Lowell, MA, USA
- affiliation (2010 - 2013): University of Tennessee at Chattanooga, TN, USA
- affiliation (2007 - 2010): California State University, Fresno, CA, USA
- affiliation (PhD 2007): Iowa State University, Ames, IA, USA
Other persons with the same name
- Yu Cao — disambiguation page
- Yu Cao 0001 — Arizona State University, School of Electrical, Computer and Energy Engineering, Tempe, AZ, USA (and 1 more)
- Yu Cao 0003 — IBM Almaden Research Center, San Jose, CA, USA (and 1 more)
- Yu Cao 0004 — Tsinghua Science Park, EMC Labs, Beijing, China
- Yu Cao 0005 — Duke University, Department of Mathematics, Durham, NC, USA (and 1 more)
- Yu Cao 0006 — Zhejiang University, Department of Land Management, School of Public Affairs, China (and 1 more)
- Yu Cao 0007 — University of Edinburgh, School of Engineering, UK (and 1 more)
- Yu Cao 0008 — Huazhong University of Science and Technology, School of Artificial Intelligence and Automation, Key Laboratory of Image Processing and Intelligent Control, Wuhan, China
- Yu Cao 0009 — Tianjin University, School of Marine Science and Technology, China
- Yu Cao 0010 — Shandong University, Institute of Materials Joining, Jinan, China
- Yu Cao 0011 — Zhejiang University, Department of Land Management, School of Public Affairs, Hangzhou, China
- Yu Cao 0012 — Baidu USA LLC, Sunnyvale, CA, USA
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Journal Articles
- 2022
- [j19]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) - [j18]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) - [j17]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) - 2021
- [j16]Zhan Wu, Rongjun Ge, Yang Chen, Xiaopu He, Limin Luo, Yu Cao, Hengyong Yu:
Automatic Patient-Level Detection of Coronavirus Disease (COVID-19) Using Convolutional Neural Network from Lung CT Scans. J. Medical Imaging Health Informatics 11(11): 2722-2732 (2021) - 2020
- [j15]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) - [j14]Peilong Li, Chen Xu, Hao Jin, Chunyang Hu, Yan Luo, Yu Cao, Jomol Mathew, Yunsheng Ma:
ChainSDI: A Software-Defined Infrastructure for Regulation-Compliant Home-Based Healthcare Services Secured by Blockchains. IEEE Syst. J. 14(2): 2042-2053 (2020) - 2018
- [j13]Chang Liu, Yu Cao, Yan Luo, Guanling Chen, Vinod Vokkarane, Yunsheng Ma, Songqing Chen, Peng Hou:
A New Deep Learning-Based Food Recognition System for Dietary Assessment on An Edge Computing Service Infrastructure. IEEE Trans. Serv. Comput. 11(2): 249-261 (2018) - 2016
- [j12]Jianhai Zhang, Ming Chen, Shaokai Zhao, Sanqing Hu, Zhiguo Shi, Yu Cao:
ReliefF-Based EEG Sensor Selection Methods for Emotion Recognition. Sensors 16(10): 1558 (2016) - [j11]Sanqing Hu, Hui Wang, Jianhai Zhang, Wanzeng Kong, Yu Cao, Robert Kozma:
Comparison Analysis: Granger Causality and New Causality and Their Applications to Motor Imagery. IEEE Trans. Neural Networks Learn. Syst. 27(7): 1429-1444 (2016) - [j10]Sanqing Hu, Xinxin Jia, Jianhai Zhang, Wanzeng Kong, Yu Cao:
Shortcomings/Limitations of Blockwise Granger Causality and Advances of Blockwise New Causality. IEEE Trans. Neural Networks Learn. Syst. 27(12): 2588-2601 (2016) - 2015
- [j9]Ming Li, Yu Cao, B. Prabhakaran:
Loss Aware Sample Packetization Strategy for Improvement of Body Sensor Data Analysis. J. Commun. 10(11): 851-858 (2015) - 2013
- [j8]Sanqing Hu, Qiangqiang Tian, Yu Cao, Jianhai Zhang, Wanzeng Kong:
Motor imagery classification based on joint regression model and spectral power. Neural Comput. Appl. 23(7-8): 1931-1936 (2013) - 2012
- [j7]Raphaël Troncy, Balakrishnan Prabhakaran, Yu Cao:
Multimedia data semantics: guest editors introduction. Multim. Tools Appl. 59(2): 579-583 (2012) - 2010
- [j6]Mei-Ling Shyu, Yu Cao, Ming Li, Jun Kong, Jie Bao:
Guest Editorial. J. Multim. 5(4): 299-301 (2010) - [j5]Shih-Hsi Liu, Yu Cao, Ming Li, Pranay Kilaru, Thell Smith, Shaen Toner:
A Semantics and Data-Driven Biomedical Multimedia Software System. J. Multim. 5(4): 352-360 (2010) - [j4]Mei-Ling Shyu, Yu Cao, Jun Kong, Ming Li, Mathias Lux, Jie Bao:
Introduction to the special issue on "data semantics for multimedia systems". Multim. Tools Appl. 46(2-3): 147-154 (2010) - 2009
- [j3]Jung-Hwan Oh, Sae Hwang, Yu Cao, Wallapak Tavanapong, Danyu Liu, Johnny S. Wong, Piet C. de Groen:
Measuring Objective Quality of Colonoscopy. IEEE Trans. Biomed. Eng. 56(9): 2190-2196 (2009) - 2007
- [j2]Danyu Liu, Yu Cao, Kihwan Kim, Sean Stanek, Bancha Doungratanaex-Chai, Kungen Lin, Wallapak Tavanapong, Johnny S. Wong, Jung-Hwan Oh, Piet C. de Groen:
Arthemis: Annotation software in an integrated capturing and analysis system for colonoscopy. Comput. Methods Programs Biomed. 88(2): 152-163 (2007) - [j1]Yu Cao, Danyu Liu, Wallapak Tavanapong, Johnny Wong, Jung-Hwan Oh, Piet C. de Groen:
Computer-Aided Detection of Diagnostic and Therapeutic Operations in Colonoscopy Videos. IEEE Trans. Biomed. Eng. 54(7): 1268-1279 (2007)
Conference and Workshop Papers
- 2024
- [c75]Xiaolong Liang, Qilei Chen, Yu Cao, Benyuan Liu, Shuijiao Chen, Xiaowei Liu:
Automated Scene Classification in Endoscopy Videos Using Convolutional Neural Networks. CHASE 2024: 157-161 - [c74]Zinan Xiong, Shuijiao Chen, Yizhe Zhang, Yu Cao, Benyuan Liu, Xiaowei Liu:
Adaptify: A Refined Test-Time Adaptation Scheme for Frame Classification Consistency in Atrophic Gastritis Videos. ISBI 2024: 1-5 - 2023
- [c73]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 - [c72]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 - [c71]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 - [c70]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 - [c69]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
- [c68]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 - [c67]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 - [c66]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 - [c65]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 - [c64]Zinan Xiong, Chenxi Wang, Ying Li, Yan Luo, Yu Cao:
Swin-Pose: Swin Transformer Based Human Pose Estimation. MIPR 2022: 228-233 - [c63]Jiancheng Shen, Jia Wang, Hongwei Zhu, Yu Cao, Benyuan Liu:
Profiting from High Frequency Market Psychology Data with Deep Learning. WEB 2022: 1-11 - 2021
- [c62]Alexander Ding, Ying Li, Qilei Chen, Yu Cao, Benyuan Liu, Shuijiao Chen, Xiaowei Liu:
Gastric Location Classification During Esophagogastroduodenoscopy Using Deep Neural Networks. BIBE 2021: 1-8 - [c61]Chenxi Wang, Ying Li, Zinan Xiong, Yan Luo, Yu Cao:
Lower Body Rehabilitation Dataset and Model Optimization. ICME 2021: 1-6 - [c60]Ying Li, Alexander Ding, Yu Cao, Benyuan Liu, Shuijiao Chen, Xiaowei Liu:
Detection of Endoscope Withdrawal Time in Colonoscopy Videos. ICMLA 2021: 67-74 - [c59]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 - [c58]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 - 2020
- [c57]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 - [c56]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 - [c55]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 - [c54]Alexander Ding, Qilei Chen, Yu Cao, Benyuan Liu:
Retinopathy of Prematurity Stage Diagnosis Using Object Segmentation and Convolutional Neural Networks. IJCNN 2020: 1-6 - [c53]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 - 2019
- [c52]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 - [c51]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 - [c50]Pengfei Zhang, Yu Cao, Benyuan Liu:
Multi-Stream Single Shot Spatial-Temporal Action Detection. ICIP 2019: 3691-3695 - [c49]Tong Sun, Jia Wang, Jing Ni, Yu Cao, Benyuan Liu:
Predicting Futures Market Movement using Deep Neural Networks. ICMLA 2019: 118-125 - [c48]Chang Liu, Xizhe Wang, Jing Ni, Yu Cao, Benyuan Liu:
An Edge Computing Visual System for Vegetable Categorization. ICMLA 2019: 625-632 - [c47]Xinzi Sun, Pengfei Zhang, Dechun Wang, Yu Cao, Benyuan Liu:
Colorectal Polyp Segmentation by U-Net with Dilation Convolution. ICMLA 2019: 851-858 - [c46]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 - [c45]Hao Jin, Chen Xu, Yan Luo, Peilong Li, Yu Cao, Jomol Mathew:
Toward Secure, Privacy-Preserving, and Interoperable Medical Data Sharing via Blockchain. ICPADS 2019: 852-861 - [c44]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 - [c43]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 - [c42]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 - [c41]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 - [c40]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 - 2018
- [c39]Jia Wang, Tong Sun, Benyuan Liu, Yu Cao, Degang Wang:
Financial Markets Prediction with Deep Learning. ICMLA 2018: 97-104 - 2017
- [c38]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 - [c37]Peilong Li, Chen Xu, Yan Luo, Yu Cao, Jomol Mathew, Yunsheng Ma:
CareNet: Building Regulation-Compliant Home-Based Healthcare Services with Software-Defined Infrastructure. CHASE 2017: 373-382 - [c36]Peilong Li, Chen Xu, Yan Luo, Yu Cao, Jomol Mathew, Yunsheng Ma:
CareNet: Building a Secure Software-defined Infrastructure for Home-based Healthcare. SDN-NFV@CODASPY 2017: 69-72 - [c35]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 - [c34]Yuying Zhu, Yi-Ning Wu, Hui Su, Sanqing Hu, Tong Cao, Jianhai Zhang, Yu Cao:
Identify Non-fatigue State to Fatigue State Using Causality Measure During Game Play. ICONIP (4) 2017: 581-588 - [c33]Ning Zhang, Yu Cao, Benyuan Liu, Yan Luo:
Improved Multimodal Representation Learning with Skip Connections. ACM Multimedia 2017: 654-662 - 2016
- [c32]Yang Gao, Ning Zhang, Honghao Wang, Xiang Ding, Xu Ye, Guanling Chen, Yu Cao:
iHear Food: Eating Detection Using Commodity Bluetooth Headsets. CHASE 2016: 163-172 - [c31]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 - [c30]Xu Ye, Guanling Chen, Yang Gao, Honghao Wang, Yu Cao:
Assisting Food Journaling with Automatic Eating Detection. CHI Extended Abstracts 2016: 3255-3262 - [c29]Chang Liu, Yu Cao, Yan Luo, Guanling Chen, Vinod Vokkarane, Yunsheng Ma:
DeepFood: Deep Learning-Based Food Image Recognition for Computer-Aided Dietary Assessment. ICOST 2016: 37-48 - [c28]Jianhai Zhang, Ming Chen, Sanqing Hu, Yu Cao, Robert Kozma:
PNN for EEG-based Emotion Recognition. SMC 2016: 2319-2323 - 2015
- [c27]Xu Ye, Guanling Chen, Yu Cao:
Automatic Eating Detection using head-mount and wrist-worn accelerometers. HealthCom 2015: 578-581 - [c26]Lu He, Yan Luo, Rui Liu, Hengyong Yu, Yu Cao, Xuzhou Chen, Seung Woo Son:
Bisection and twisted SVD on GPU. HPEC 2015: 1-7 - [c25]Ming Li, Yu Cao, B. Prabhakaran:
Loss aware sample packetization strategy for improvement of body sensor data analysis. ICNC 2015: 673-678 - [c24]Yu Cao, Peng Hou, Donald Brown, Jie Wang, Songqing Chen:
Distributed Analytics and Edge Intelligence: Pervasive Health Monitoring at the Era of Fog Computing. Mobidata@MobiHoc 2015: 43-48 - [c23]Yu Cao, Songqing Chen, Peng Hou, Donald Brown:
FAST: A fog computing assisted distributed analytics system to monitor fall for stroke mitigation. NAS 2015: 2-11 - [c22]Peilong Li, Yan Luo, Ning Zhang, Yu Cao:
HeteroSpark: A heterogeneous CPU/GPU Spark platform for machine learning algorithms. NAS 2015: 347-348 - [c21]Ming Li, Yu Cao, B. Prabhakaran:
Multi-level sample importance ranking based progressive transmission strategy for time series body sensor data. WOWMOM 2015: 1-3 - 2014
- [c20]Lu He, Yan Luo, Yu Cao:
Accelerator of Stacked Convolutional Independent Subspace Analysis for Deep Learning-Based Action Recognition. FCCM 2014: 104 - [c19]Sanqing Hu, Hui Wang, Jianhai Zhang, Wanzeng Kong, Yu Cao:
Causality from Cz to C3/C4 or between C3 and C4 revealed by granger causality and new causality during motor imagery. IJCNN 2014: 3178-3185 - [c18]Jeffrey Cox, Yu Cao, Guanling Chen, Jianbiao He, Degui Xiao:
Smartphone-Based Walking Speed Estimation for Stroke Mitigation. ISM 2014: 328-332 - 2013
- [c17]Yu Cao, Ming Li, B. Prabhakaran:
A Data Analysis Driven Streaming Framework for Body Sensor Area Networks. BODYNETS 2013: 205-208 - 2012
- [c16]Sanqing Hu, Yu Cao, Shihui Chen, Jianhai Zhang, Wanzeng Kong, Kun Yang, Xun Li, Yanbin Zhang:
A Comparative Study of Two Reference Estimation Methods in EEG Recording. BICS 2012: 321-328 - [c15]Matthew McNabb, Yu Cao, Thomas Devlin, Blaise Baxter, Albert Thornton:
Measuring MERCI: Exploring data mining techniques for examining the neurologic outcomes of stroke patients undergoing endo-vascular therapy at Erlanger Southeast Stroke Center. EMBC 2012: 4704-4707 - 2011
- [c14]Nick Read, Shih-Hsi Liu, Ming Li, Todd Wilson, Yu Cao, B. Prabhakaran:
Loss resilient strategy in body sensor networks. BODYNETS 2011: 99-102 - [c13]Yu Cao, Jayashree Kalpathy-Cramer, Devrim Ünay:
Medical multimedia analysis and retrieval. ACM Multimedia 2011: 617-618 - 2010
- [c12]Swapna Philip, Yu Cao, Ming Li:
Sensor Based Time Series Classification of Body Movement. BIONETICS 2010: 303-309 - 2009
- [c11]Shih-Hsi Liu, Yu Cao, Yili Li, Ming Li, Sanqing Hu:
Semantic Image Classification for Medical Videos. ICSC 2009: 648-653 - 2008
- [c10]Yu Cao, Sung Baang, Shih-Hsi Liu, Ming Li, Sanqing Hu:
Audio-visual event classification via spatial-temporal-audio words. ICPR 2008: 1-5 - [c9]Yu Cao, Shih-Hsi Liu, Ming Li, Sung Baang, Sanqing Hu:
Medical Video Event Classification Using Shared Features. ISM 2008: 266-273 - [c8]Shih-Hsi Liu, Yu Cao, Ming Li, Pranay Kilaru, Thell Smith, Shaen Toner:
A Semantics- and Data-Driven SOA for Biomedical Multimedia Systems. ISM 2008: 533-538 - 2006
- [c7]Yu Cao, Danyu Liu, Wallapak Tavanapong, Johnny Wong, Jung-Hwan Oh, Piet C. de Groen:
Automatic Classification of Images with Appendiceal Orifice in Colonoscopy Videos. EMBC 2006: 2349-2352 - 2005
- [c6]Sae Hwang, Jung-Hwan Oh, JeongKyu Lee, Yu Cao, Wallapak Tavanapong, Danyu Liu, Johnny Wong, Piet C. de Groen:
Automatic measurement of quality metrics for colonoscopy videos. ACM Multimedia 2005: 912-921 - 2004
- [c5]Yu Cao, Wallapak Tavanapong, Dalei Li, Jung-Hwan Oh, Piet C. de Groen, Johnny S. Wong:
A Visual Model Approach for Parsing Colonoscopy Videos. CIVR 2004: 160-169 - [c4]Yu Cao, Wallapak Tavanapong, Kihwan Kim, Johnny Wong, Jung-Hwan Oh, Piet C. de Groen:
A framework for parsing colonoscopy videos for semantic units. ICME 2004: 1879-1882 - [c3]Jie Bao, Yu Cao, Wallapak Tavanapong, Vasant G. Honavar:
Integration of Domain-Specific and Domain-Independent Ontologies for Colonoscopy Video Database Annotation. IKE 2004: 82-90 - [c2]Yu Cao, Dalei Li, Wallapak Tavanapong, Jung-Hwan Oh, Johnny Wong, Piet C. de Groen:
Parsing and browsing tools for colonoscopy videos. ACM Multimedia 2004: 844-851 - 2003
- [c1]Yu Cao, Wallapak Tavanapong, Kihwan Kim, Jung-Hwan Oh:
Audio-Assisted Scene Segmentation for Story Browsing. CIVR 2003: 446-455
Informal and Other Publications
- 2024
- [i16]Zinan Xiong, Shuijiao Chen, Yizhe Zhang, Yu Cao, Benyuan Liu, Xiaowei Liu:
Adaptify: A Refined Adaptation Scheme for Frame Classification in Atrophic Gastritis Videos. CoRR abs/2408.09261 (2024) - 2022
- [i15]Zinan Xiong, Chenxi Wang, Ying Li, Yan Luo, Yu Cao:
Swin-Pose: Swin Transformer Based Human Pose Estimation. CoRR abs/2201.07384 (2022) - [i14]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) - [i13]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
- [i12]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) - [i11]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) - [i10]Jia Wang, Tong Sun, Benyuan Liu, Yu Cao, Degang Wang:
Financial Markets Prediction with Deep Learning. CoRR abs/2104.05413 (2021) - 2020
- [i9]Ning Zhang, Yu Cao, Benyuan Liu, Yan Luo:
3D Aggregated Faster R-CNN for General Lesion Detection. CoRR abs/2001.11071 (2020) - [i8]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) - [i7]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
- [i6]Pengfei Zhang, Yu Cao, Benyuan Liu:
Multi-Stream Single Shot Spatial-Temporal Action Detection. CoRR abs/1908.08178 (2019) - [i5]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) - [i4]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) - [i3]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) - [i2]Xinzi Sun, Pengfei Zhang, Dechun Wang, Yu Cao, Benyuan Liu:
Colorectal Polyp Segmentation by U-Net with Dilation Convolution. CoRR abs/1912.11947 (2019) - 2016
- [i1]Chang Liu, Yu Cao, Yan Luo, Guanling Chen, Vinod Vokkarane, Yunsheng Ma:
DeepFood: Deep Learning-Based Food Image Recognition for Computer-Aided Dietary Assessment. CoRR abs/1606.05675 (2016)
Coauthor Index
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