Audio-Assisted Scene Segmentation for Story Browsing. - Yu Cao 002; Wallapak Tavanapong; Kihwan Kim; Jung-Hwan Oh 001 (CIVR, 2003)

A Visual Model Approach for Parsing Colonoscopy Videos. - Yu Cao 002; Wallapak Tavanapong; Dalei Li; Jung-Hwan Oh 001; Piet C. de Groen; Johnny S. Wong (CIVR, 2004)

A framework for parsing colonoscopy videos for semantic units. - Yu Cao 002; Wallapak Tavanapong; Kihwan Kim; Johnny Wong 001; Jung-Hwan Oh 001; Piet C. de Groen (ICME, 2004)

Integration of Domain-Specific and Domain-Independent Ontologies for Colonoscopy Video Database Annotation. - Jie Bao 001; Yu Cao 002; Wallapak Tavanapong; Vasant G. Honavar (IKE, 2004)

Parsing and browsing tools for colonoscopy videos. - Yu Cao 002; Dalei Li; Wallapak Tavanapong; Jung-Hwan Oh 001; Johnny Wong 001; Piet C. de Groen (ACM Multimedia, 2004)

Automatic measurement of quality metrics for colonoscopy videos. - Sae Hwang; Jung-Hwan Oh 001; JeongKyu Lee; Yu Cao 002; Wallapak Tavanapong; Danyu Liu; Johnny Wong 001; Piet C. de Groen (ACM Multimedia, 2005)

Automatic Classification of Images with Appendiceal Orifice in Colonoscopy Videos. - Yu Cao 002; Danyu Liu; Wallapak Tavanapong; Johnny Wong 001; Jung-Hwan Oh 001; Piet C. de Groen (EMBC, 2006)

Arthemis: Annotation software in an integrated capturing and analysis system for colonoscopy. - Danyu Liu; Yu Cao 002; Kihwan Kim; Sean Stanek; Bancha Doungratanaex-Chai; Kungen Lin; Wallapak Tavanapong; Johnny S. Wong; Jung-Hwan Oh 001; Piet C. de Groen (Comput. Methods Programs Biomed., 2007)

Computer-Aided Detection of Diagnostic and Therapeutic Operations in Colonoscopy Videos. - Yu Cao 002; Danyu Liu; Wallapak Tavanapong; Johnny Wong 001; Jung-Hwan Oh 001; Piet C. de Groen (IEEE Trans. Biomed. Eng., 2007)

Audio-visual event classification via spatial-temporal-audio words. - Yu Cao 002; Sung Baang; Shih-Hsi Liu; Ming Li 007; Sanqing Hu (ICPR, 2008)

Medical Video Event Classification Using Shared Features. - Yu Cao 002; Shih-Hsi Liu; Ming Li 007; Sung Baang; Sanqing Hu (ISM, 2008)

A Semantics- and Data-Driven SOA for Biomedical Multimedia Systems. - Shih-Hsi Liu; Yu Cao 002; Ming Li 007; Pranay Kilaru; Thell Smith; Shaen Toner (ISM, 2008)

Semantic Image Classification for Medical Videos. - Shih-Hsi Liu; Yu Cao 002; Yili Li; Ming Li 007; Sanqing Hu (ICSC, 2009)

Measuring Objective Quality of Colonoscopy. - Jung-Hwan Oh 001; Sae Hwang; Yu Cao 002; Wallapak Tavanapong; Danyu Liu; Johnny S. Wong; Piet C. de Groen (IEEE Trans. Biomed. Eng., 2009)

Sensor Based Time Series Classification of Body Movement. - Swapna Philip; Yu Cao 002; Ming Li 007 (BIONETICS, 2010)

A Semantics and Data-Driven Biomedical Multimedia Software System. - Shih-Hsi Liu; Yu Cao 002; Ming Li 007; Pranay Kilaru; Thell Smith; Shaen Toner (J. Multim., 2010)

Guest Editorial. - Mei-Ling Shyu; Yu Cao 002; Ming Li 007; Jun Kong; Jie Bao 001 (J. Multim., 2010)

Introduction to the special issue on "data semantics for multimedia systems". - Mei-Ling Shyu; Yu Cao 002; Jun Kong; Ming Li 007; Mathias Lux; Jie Bao 001 (Multim. Tools Appl., 2010)

Loss resilient strategy in body sensor networks. - Nick Read; Shih-Hsi Liu; Ming Li 007; Todd Wilson; Yu Cao 002; B. Prabhakaran 001 (BODYNETS, 2011)

Medical multimedia analysis and retrieval. - Yu Cao 002; Jayashree Kalpathy-Cramer; Devrim Ünay (ACM Multimedia, 2011)

A Comparative Study of Two Reference Estimation Methods in EEG Recording. - Sanqing Hu; Yu Cao 002; Shihui Chen; Jianhai Zhang; Wanzeng Kong; Kun Yang 002; Xun Li; Yanbin Zhang (BICS, 2012)

Measuring MERCI: Exploring data mining techniques for examining the neurologic outcomes of stroke patients undergoing endo-vascular therapy at Erlanger Southeast Stroke Center. - Matthew McNabb; Yu Cao 002; Thomas Devlin; Blaise Baxter; Albert Thornton (EMBC, 2012)

Multimedia data semantics: guest editors introduction. - Raphaël Troncy; Balakrishnan Prabhakaran 001; Yu Cao 002 (Multim. Tools Appl., 2012)

A Data Analysis Driven Streaming Framework for Body Sensor Area Networks. - Yu Cao 002; Ming Li 007; B. Prabhakaran 001 (BODYNETS, 2013)

Motor imagery classification based on joint regression model and spectral power. - Sanqing Hu; Qiangqiang Tian; Yu Cao 002; Jianhai Zhang; Wanzeng Kong (Neural Comput. Appl., 2013)

Accelerator of Stacked Convolutional Independent Subspace Analysis for Deep Learning-Based Action Recognition. - Lu He; Yan Luo 001; Yu Cao 002 (FCCM, 2014)

Causality from Cz to C3/C4 or between C3 and C4 revealed by granger causality and new causality during motor imagery. - Sanqing Hu; Hui Wang; Jianhai Zhang; Wanzeng Kong; Yu Cao 002 (IJCNN, 2014)

Smartphone-Based Walking Speed Estimation for Stroke Mitigation. - Jeffrey Cox; Yu Cao 002; Guanling Chen; Jianbiao He; Degui Xiao (ISM, 2014)

Automatic Eating Detection using head-mount and wrist-worn accelerometers. - Xu Ye; Guanling Chen; Yu Cao 002 (HealthCom, 2015)

Bisection and twisted SVD on GPU. - Lu He; Yan Luo 001; Rui Liu 014; Hengyong Yu; Yu Cao 002; Xuzhou Chen; Seung Woo Son 001 (HPEC, 2015)

Distributed Analytics and Edge Intelligence: Pervasive Health Monitoring at the Era of Fog Computing. - Yu Cao 002; Peng Hou; Donald Brown; Jie Wang 002; Songqing Chen (Mobidata@MobiHoc, 2015)

FAST: A fog computing assisted distributed analytics system to monitor fall for stroke mitigation. - Yu Cao 002; Songqing Chen; Peng Hou; Donald Brown (NAS, 2015)

HeteroSpark: A heterogeneous CPU/GPU Spark platform for machine learning algorithms. - Peilong Li; Yan Luo 001; Ning Zhang; Yu Cao 002 (NAS, 2015)

Multi-level sample importance ranking based progressive transmission strategy for time series body sensor data. - Ming Li 007; Yu Cao 002; B. Prabhakaran 001 (WOWMOM, 2015)

Loss Aware Sample Packetization Strategy for Improvement of Body Sensor Data Analysis. - Ming Li 007; Yu Cao 002; B. Prabhakaran 001 (J. Commun., 2015)

Improving Tuberculosis Diagnostics Using Deep Learning and Mobile Health Technologies among Resource-Poor and Marginalized Communities. - Yu Cao 002; Chang Liu 033; Benyuan Liu; Maria J. Brunette; Ning Zhang; Tong Sun 007; Peifeng Zhang; Jesús Peinado; Epifanio Sanchez Garavito; Leonid Lecca Garcia; Walter H. Curioso (CHASE, 2016)

iHear Food: Eating Detection Using Commodity Bluetooth Headsets. - Yang Gao; Ning Zhang; Honghao Wang; Xiang Ding; Xu Ye; Guanling Chen; Yu Cao 002 (CHASE, 2016)

Assisting Food Journaling with Automatic Eating Detection. - Xu Ye; Guanling Chen; Yang Gao; Honghao Wang; Yu Cao 002 (CHI Extended Abstracts, 2016)

DeepFood: Deep Learning-Based Food Image Recognition for Computer-Aided Dietary Assessment. - Chang Liu 033; Yu Cao 002; Yan Luo 001; Guanling Chen; Vinod Vokkarane; Yunsheng Ma (ICOST, 2016)

PNN for EEG-based Emotion Recognition. - Jianhai Zhang; Ming Chen; Sanqing Hu; Yu Cao 002; Robert Kozma 001 (SMC, 2016)

ReliefF-Based EEG Sensor Selection Methods for Emotion Recognition. - Jianhai Zhang; Ming Chen; Shaokai Zhao; Sanqing Hu; Zhiguo Shi; Yu Cao 002 (Sensors, 2016)

Shortcomings/Limitations of Blockwise Granger Causality and Advances of Blockwise New Causality. - Sanqing Hu; Xinxin Jia; Jianhai Zhang; Wanzeng Kong; Yu Cao 002 (IEEE Trans. Neural Networks Learn. Syst., 2016)

Comparison Analysis: Granger Causality and New Causality and Their Applications to Motor Imagery. - Sanqing Hu; Hui Wang; Jianhai Zhang; Wanzeng Kong; Yu Cao 002; Robert Kozma 001 (IEEE Trans. Neural Networks Learn. Syst., 2016)

Predicting Stock Price Returns Using Microblog Sentiment for Chinese Stock Market. - Tong Sun 007; Jia Wang; Pengfei Zhang; Yu Cao 002; Benyuan Liu; Degang Wang (BigCom, 2017)

CareNet: Building Regulation-Compliant Home-Based Healthcare Services with Software-Defined Infrastructure. - Peilong Li; Chen Xu; Yan Luo 001; Yu Cao 002; Jomol Mathew; Yunsheng Ma (CHASE, 2017)

CareNet: Building a Secure Software-defined Infrastructure for Home-based Healthcare. - Peilong Li; Chen Xu; Yan Luo 001; Yu Cao 002; Jomol Mathew; Yunsheng Ma (SDN-NFV@CODASPY, 2017)

TX-CNN: Detecting tuberculosis in chest X-ray images using convolutional neural network. - Chang Liu 033; Yu Cao 002; Marlon Fernandes de Alcântara; Benyuan Liu; Maria J. Brunette; Jesús Peinado; Walter H. Curioso (ICIP, 2017)

Identify Non-fatigue State to Fatigue State Using Causality Measure During Game Play. - Yuying Zhu 005; Yi-Ning Wu; Hui Su; Sanqing Hu; Tong Cao; Jianhai Zhang; Yu Cao 002 (ICONIP (4), 2017)

Improved Multimodal Representation Learning with Skip Connections. - Ning Zhang; Yu Cao 002; Benyuan Liu; Yan Luo 001 (ACM Multimedia, 2017)

Financial Markets Prediction with Deep Learning. - Jia Wang; Tong Sun 007; Benyuan Liu; Yu Cao 002; Degang Wang (ICMLA, 2018)

A New Deep Learning-Based Food Recognition System for Dietary Assessment on An Edge Computing Service Infrastructure. - Chang Liu 033; Yu Cao 002; Yan Luo 001; Guanling Chen; Vinod Vokkarane; Yunsheng Ma; Songqing Chen; Peng Hou (IEEE Trans. Serv. Comput., 2018)

End-to-end deep learning based trading platform and its evaluation. - Tong Sun 007; Jia Wang; Jing Ni; Yu Cao 002; Benyuan Liu (ACM TUR-C, 2019)

People Re-Identification by Multi-Branch CNN with Multi-Scale Features. - Xinzi Sun; Ning Zhang; Qilei Chen; Yu Cao 002; Benyuan Liu (ICIP, 2019)

Multi-Stream Single Shot Spatial-Temporal Action Detection. - Pengfei Zhang; Yu Cao 002; Benyuan Liu (ICIP, 2019)

An Edge Computing Visual System for Vegetable Categorization. - Chang Liu 033; Xizhe Wang; Jing Ni; Yu Cao 002; Benyuan Liu (ICMLA, 2019)

An Effective CNN Approach for Diabetic Retinopathy Stage Classification with Dual Inputs and Selective Data Sampling. - Jing Ni; Qilei Chen; Chang Liu 033; Honghao Wang; Yu Cao 002; Benyuan Liu (ICMLA, 2019)

Predicting Futures Market Movement using Deep Neural Networks. - Tong Sun 007; Jia Wang; Jing Ni; Yu Cao 002; Benyuan Liu (ICMLA, 2019)

Colorectal Polyp Segmentation by U-Net with Dilation Convolution. - Xinzi Sun; Pengfei Zhang; Dechun Wang; Yu Cao 002; Benyuan Liu (ICMLA, 2019)

Toward Secure, Privacy-Preserving, and Interoperable Medical Data Sharing via Blockchain. - Hao Jin; Chen Xu; Yan Luo 001; Peilong Li; Yu Cao 002; Jomol Mathew (ICPADS, 2019)

Mini Lesions Detection on Diabetic Retinopathy Images via Large Scale CNN Features. - Qilei Chen; Xinzi Sun; Ning Zhang; Yu Cao 002; Benyuan Liu (ICTAI, 2019)

AFP-Net: Realtime Anchor-Free Polyp Detection in Colonoscopy. - Dechun Wang; Ning Zhang; Xinzi Sun; Pengfei Zhang; Chenxi Zhang; Yu Cao 002; Benyuan Liu (ICTAI, 2019)

An Efficient Spatial-Temporal Polyp Detection Framework for Colonoscopy Video. - Pengfei Zhang; Xinzi Sun; Dechun Wang; Xizhe Wang; Yu Cao 002; Benyuan Liu (ICTAI, 2019)

CLVSA: A Convolutional LSTM Based Variational Sequence-to-Sequence Model with Attention for Predicting Trends of Financial Markets. - Jia Wang; Tong Sun 007; Benyuan Liu; Yu Cao 002; Hongwei Zhu 002 (IJCAI, 2019)

A Deep Reinforcement Learning Approach to Multi-Component Job Scheduling in Edge Computing. - Zhi Cao; Honggang Zhang 003; Yu Cao 002; Benyuan Liu (MSN, 2019)

3D Anchor-Free Lesion Detector on Computed Tomography Scans. - Ning Zhang; Dechun Wang; Xinzi Sun; Pengfei Zhang; Chenxi Zhang; Yu Cao 002; Benyuan Liu (CoRR, 2019)

A Knowledge-Based Decision Support System for In Vitro Fertilization Treatment. - Xizhe Wang; Ning Zhang; Jia Wang; Jing Ni; Xinzi Sun; John Zhang; Zitao Liu 005; Yu Cao 002; Benyuan Liu (HealthCom, 2020)

Colorectal Polyp Detection in Real-world Scenario: Design and Experiment Study. - Xinzi Sun; Dechun Wang; Chenxi Zhang; Pengfei Zhang; Zinan Xiong; Yu Cao 002; Benyuan Liu; Xiaowei Liu; Shuijiao Chen (ICTAI, 2020)

Pseudo-Labeling for Small Lesion Detection on Diabetic Retinopathy Images. - Qilei Chen; Ping Liu; Jing Ni; Yu Cao 002; Benyuan Liu; Honggang Zhang 003 (IJCNN, 2020)

Retinopathy of Prematurity Stage Diagnosis Using Object Segmentation and Convolutional Neural Networks. - Alexander Ding; Qilei Chen; Yu Cao 002; Benyuan Liu (IJCNN, 2020)

Human pose estimation based in-home lower body rehabilitation system. - Ying Li; Chenxi Wang; Yu Cao 002; Benyuan Liu; Joanna Tan; Yan Luo 001 (IJCNN, 2020)

3D Aggregated Faster R-CNN for General Lesion Detection. - Ning Zhang; Yu Cao 002; Benyuan Liu; Yan Luo 001 (CoRR, 2020)

Implementing a socio-technical system for computer-aided tuberculosis diagnosis in Peru: A field trial among health professionals in resource-constraint settings. - Cesar Ugarte-Gil; Maria Icochea; Juan Carlos Llontop Otero; Katerine Villaizan; Nicola Young; Yu Cao 002; Benyuan Liu; Terence Griffin; Maria J. Brunette (Health Informatics J., 2020)

ChainSDI: A Software-Defined Infrastructure for Regulation-Compliant Home-Based Healthcare Services Secured by Blockchains. - Peilong Li; Chen Xu; Hao Jin; Chunyang Hu; Yan Luo 001; Yu Cao 002; Jomol Mathew; Yunsheng Ma (IEEE Syst. J., 2020)

Gastric Location Classification During Esophagogastroduodenoscopy Using Deep Neural Networks. - Alexander Ding; Ying Li; Qilei Chen; Yu Cao 002; Benyuan Liu; Shuijiao Chen; Xiaowei Liu (BIBE, 2021)

Lower Body Rehabilitation Dataset and Model Optimization. - Chenxi Wang; Ying Li; Zinan Xiong; Yan Luo 001; Yu Cao 002 (ICME, 2021)

Detection of Endoscope Withdrawal Time in Colonoscopy Videos. - Ying Li; Alexander Ding; Yu Cao 002; Benyuan Liu; Shuijiao Chen; Xiaowei Liu (ICMLA, 2021)

Dual-CLVSA: a Novel Deep Learning Approach to Predict Financial Markets with Sentiment Measurements. - Jia Wang; Hongwei Zhu 002; Jiancheng Shen; Yu Cao 002; Benyuan Liu (ICMLA, 2021)

Automatic Patient-Level Detection of Coronavirus Disease (COVID-19) Using Convolutional Neural Network from Lung CT Scans. - Zhan Wu; Rongjun Ge; Yang Chen 008; Xiaopu He; Limin Luo 001; Yu Cao 002; Hengyong Yu (J. Medical Imaging Health Informatics, 2021)

Deep Learning Assisted Mouth-Esophagus Passage Time Estimation During Gastroscopy. - Zinan Xiong; Qilei Chen; Chenxi Zhang; Yu Cao 002; Benyuan Liu; Yu Wu; Yu Peng; Xiaowei Liu (ICTAI, 2022)

Enhance Chest X-ray Classification with Multi-image Fusion and Pseudo-3D Reconstruction. - Jing Ni; Zubin Bhuyan; Qilei Chen; Xinzi Sun; Dechun Wang; Yu Cao 002; Benyuan Liu (IJCNN, 2022)

Spotlight scheme: enhancing medical image classification with lesion location information. - Jing Ni; Qilei Chen; Ping Liu; Yu Cao 002; Benyuan Liu (Computer-Aided Diagnosis, 2022)

MAF-Net: Multi-branch Anchor-Free Detector for Polyp Localization and Classification in Colonoscopy. - Xinzi Sun; Dechun Wang; Qilei Chen; Jing Ni; Shuijiao Chen; Xiaowei Liu; Yu Cao 002; Benyuan Liu (MIDL, 2022)

Swin-Pose: Swin Transformer Based Human Pose Estimation. - Zinan Xiong; Chenxi Wang; Ying Li; Yan Luo 001; Yu Cao 002 (MIPR, 2022)

Profiting from High Frequency Market Psychology Data with Deep Learning. - Jiancheng Shen; Jia Wang; Hongwei Zhu 002; Yu Cao 002; Benyuan Liu (WEB, 2022)

eRxNet: A Pipeline of Convolutional Neural Networks for Tuberculosis Screening. - Terence Griffin; Qilei Chen; Xinzi Sun; Dechun Wang; Maria J. Brunette; Yu Cao 002; Benyuan Liu (Int. J. Semantic Comput., 2022)

AFP-Mask: Anchor-Free Polyp Instance Segmentation in Colonoscopy. - Dechun Wang; Shuijiao Chen; Xinzi Sun; Qilei Chen; Yu Cao 002; Benyuan Liu; Xiaowei Liu (IEEE J. Biomed. Health Informatics, 2022)

DMA-Net: DeepLab With Multi-Scale Attention for Pavement Crack Segmentation. - Xinzi Sun; Yuanchang Xie; Liming Jiang 004; Yu Cao 002; Benyuan Liu (IEEE Trans. Intell. Transp. Syst., 2022)

A CNN-Based Disease Detection Framework for Wireless Capsule Endoscopy Videos. - Xizhe Wang; Zhang Zhang; Qilei Chen; Yani Yin; Guanghui Lian; Shuijiao Chen; Xiaowei Liu; Yu Cao 002; Benyuan Liu (HealthCom, 2023)

A Greedy Algorithm-Based Self-Training Pipeline for Expansion of Dental Caries Dataset. - Xizhe Wang; Zhang Zhang; Jing Guo; Peng Zhang; Qilei Chen; Yu Cao 002; Xinwen Fu; Benyuan Liu (HealthCom, 2023)

MLMSA: Multi-Level and Multi-Scale Attention for Lesion Detection in Endoscopy. - Zhang Zhang; Xizhe Wang; Shuijiao Chen; Xiaowei Liu; Qilei Chen; Yizhe Zhang 001; Yu Cao 002; Benyuan Liu (HealthCom, 2023)

A Deep Learning Framework with Pruning RoI Proposal for Dental Caries Detection in Panoramic X-ray Images. - Xizhe Wang; Jing Guo; Peng Zhang; Qilei Chen; Zhang Zhang; Yu Cao 002; Xinwen Fu; Benyuan Liu (ICONIP (3), 2023)

Modeling the Risk of Truck Rollover Crashes on Highway Ramps Using Drone Video Data and Mask-RCNN. - Zubin Bhuyan; Qilei Chen; Yuanchang Xie; Yu Cao 002; Benyuan Liu (ITSC, 2023)

Automated Scene Classification in Endoscopy Videos Using Convolutional Neural Networks. - Xiaolong Liang; Qilei Chen; Yu Cao 002; Benyuan Liu; Shuijiao Chen; Xiaowei Liu (CHASE, 2024)

Adaptify: A Refined Test-Time Adaptation Scheme for Frame Classification Consistency in Atrophic Gastritis Videos. - Zinan Xiong; Shuijiao Chen; Yizhe Zhang 001; Yu Cao 002; Benyuan Liu; Xiaowei Liu (ISBI, 2024)

Analyzing Highway Work Zone Traffic Dynamics via Drone Thermal Videos and Deep Learning. - Zubin Bhuyan; Lan Wu; Yuanchang Xie; Mohammadali Shirazi; Yu Cao 002; Benyuan Liu (ITSC, 2024)

Adaptify: A Refined Adaptation Scheme for Frame Classification in Atrophic Gastritis Videos. - Zinan Xiong; Shuijiao Chen; Yizhe Zhang 001; Yu Cao 002; Benyuan Liu; Xiaowei Liu (CoRR, 2024)