HYBit: A Hybrid Taint Analyzing Framework for Binary Programs. - Erzhou Zhu; Haibing Guan; Alei Liang; Rongbin Xu; Xuejian Li; Feng Liu 024 (ICSI (2), 2013)

The learning system of collective behavior in students' social network. - Ying Xie 002; Bin Luo 001; Rongbin Xu (Comput. Electr. Eng., 2013)

Smooth Harmonic Transductive Learning. - Ying Xie 002; Bin Luo 001; Rongbin Xu; Sibao Chen 001 (J. Comput., 2013)

Natural Bare-Hand Interaction for Remote Operating Large Touch Screen. - Ying Xie 002; Rongbin Xu; Xing Guo; Erzhou Zhu; Jianguo Wu (J. Comput., 2013)

Logistics scheduling based on cloud business workflows. - Rongbin Xu; Xiao Liu 004; Ying Xie 002; Futian Wang; Cheng Zhang 010; Yun Yang 001 (CSCWD, 2014)

A gaussian fields based mining method for semi-automating staff assignment in workflow application. - Rongbin Xu; Xiao Liu 004; Ying Xie 002; Dong Yuan 001; Yun Yang 001 (ICSSP, 2014)

Image hiding selection for large touch screen system. - Qihan Jiang; Lei Cheng; Rongbin Xu; Jianguo Wu; Ying Xie 002 (ICIA, 2016)

A novel dynamic checkpoint selection strategy for time-constrained massive cloud business workflows. - Rongbin Xu; Yeguo Wang; Ying Xie 002; Li Li; Dong Yuan 001 (CSCWD, 2017)

An optimized data storage strategy by computational performance and monetary cost with data importance in the cloud. - Kangkang Zhao; Dong Yuan 001; Ying Xie 002; Li Yan; Rongbin Xu (CSCWD, 2017)

Dynamic Analysis and Simulation for Two Different Chaos-Like Stochastic Neural Firing Patterns Observed in Real Biological System. - Huijie Shang; Rongbin Xu; Dong Wang 021 (ICIC (1), 2017)

Prediction and Analysis of Mature microRNA with Flexible Neural Tree Model. - Rongbin Xu; Huijie Shang; Dong Wang 021; Gaoqiang Yu; Yunguang Lin (ICIC (2), 2017)

A Stochastic Neural Firing Generated at a Hopf Bifurcation and Its Biological Relevance. - Huijie Shang; Rongbin Xu; Dong Wang 021; Jin Zhou 003; Shi-Yuan Han (ICONIP (4), 2017)

A Novel Data Set Importance Based Cost-Effective and Computation-Efficient Storage Strategy in the Cloud. - Rongbin Xu; Kangkang Zhao; Pengfei Zhang; Dong Yuan 001; Ying Xie 002; Yun Yang 001 (ICWS, 2017)

Near-optimal dynamic priority scheduling strategy for instance-intensive business workflows in cloud computing. - Rongbin Xu; Yeguo Wang; Wei Huang; Dong Yuan 001; Ying Xie 002; Yun Yang 001 (Concurr. Comput. Pract. Exp., 2017)

Improved Particle Swarm Optimization Based Workflow Scheduling in Cloud-Fog Environment. - Rongbin Xu; Yeguo Wang; Yongliang Cheng; Yuanwei Zhu; Ying Xie 002; Abubakar Sadiq Sani; Dong Yuan 001 (Business Process Management Workshops, 2018)

Sliding-window based Propagation-aware Temporal Verification for Monitoring Parallel Cloud Business Workflows. - Yeguo Wang; Rongbin Xu; Futian Wang; Haoyu Luo; Menglong Wang; Xiao Liu 004 (CSCWD, 2018)

Multi-label Green's Function Criterion inspired Transfer Annotation System. - Ying Xie 002; Xinmei Wang; Dan Jiang; Xin Xu; Guanghua Bao; Rongbin Xu (CSCWD, 2018)

Distinct Collective Inference Learning in Social Networks. - Rongbin Xu; Menglong Wang; Ying Xie 002; Yun Yang 001 (CSCWD, 2018)

Multi-path 3D Convolution Neural Network for Automated Geographic Atrophy Segmentation in SD-OCT Images. - Rongbin Xu; Sijie Niu; Kun Gao 002; Yuehui Chen (ICIC (2), 2018)

Optimally Connected Deep Belief Net for Click Through Rate Prediction in Online Advertising. - Rongbin Xu; Menglong Wang; Ying Xie 002 (IEEE Access, 2018)

A sufficient and necessary temporal violation handling point selection strategy in cloud workflow. - Rongbin Xu; Yeguo Wang; Haoyu Luo; Futian Wang; Ying Xie 002; Xiao Liu 004; Yun Yang 001 (Future Gener. Comput. Syst., 2018)

Decision Support for Project Rescheduling to Reduce Software Development Delays based on Ant Colony Optimization. - Wei Zhang 098; Yun Yang 001; Xiao Liu 004; Cheng Zhang 010; Xuejun Li 001; Rongbin Xu; Futian Wang; Muhammad Ali Babar 001 (Int. J. Comput. Intell. Syst., 2018)

Verification of Microservices Using Metamorphic Testing. - Gang Luo; Xi Zheng 001; Huai Liu; Rongbin Xu; Dinesh Nagumothu; Ranjith Janapareddi; Er Zhuang; Xiao Liu 004 (ICA3PP (1), 2019)

Deeper Monocular Depth Prediction via Long and Short Skip Connection. - Zhaokai Wang; Limin Xiao; Rongbin Xu; Shubin Su; Shupan Li; Yao Song (IJCNN, 2019)

ADCMO: An Anomaly Detection Approach Based on Local Outlier Factor for Continuously Monitored Object. - Shubin Su; Limin Xiao; Li Ruan; Rongbin Xu; Shupan Li; Zhaokai Wang; Qigong He; Wei Li (ISPA/BDCloud/SocialCom/SustainCom, 2019)

An Efficient Density-Based Local Outlier Detection Approach for Scattered Data. - Shubin Su; Limin Xiao; Li Ruan; Fei Gu 001; Shupan Li; Zhaokai Wang; Rongbin Xu (IEEE Access, 2019)

Automated geographic atrophy segmentation for SD-OCT images based on two-stage learning model. - Rongbin Xu; Sijie Niu; Qiang Chen 004; Zexuan Ji; Daniel L. Rubin; Yuehui Chen (Comput. Biol. Medicine, 2019)

Double-branched and area-constraint fully convolutional networks for automated serous retinal detachment segmentation in SD-OCT images. - Kun Gao 002; Sijie Niu; Zexuan Ji; Menglin Wu; Qiang Chen 004; Rongbin Xu; Songtao Yuan; Wen Fan 003; Yuehui Chen; Jiwen Dong (Comput. Methods Programs Biomed., 2019)

The dynamic mechanism of a novel stochastic neural firing pattern observed in a real biological system. - Huijie Shang; Zhongting Jiang; Rongbin Xu; Dong Wang 021; Peng Wu; Yuehui Chen (Cogn. Syst. Res., 2019)

A novel directional and non-local-convergent particle swarm optimization based workflow scheduling in cloud-edge environment. - Ying Xie 002; Yuanwei Zhu; Yeguo Wang; Yongliang Cheng; Rongbin Xu; Abubakar Sadiq Sani; Dong Yuan 001; Yun Yang 001 (Future Gener. Comput. Syst., 2019)

Robust transfer integrated locally kernel embedding for click-through rate prediction. - Ying Xie 002; Dan Jiang; Xinmei Wang; Rongbin Xu (Inf. Sci., 2019)

High-performance community detection in social networks using a deep transitive autoencoder. - Ying Xie 002; Xinmei Wang; Dan Jiang; Rongbin Xu (Inf. Sci., 2019)

Real-time Situation Awareness of Industrial Process based on Deep Learning at the Edge Server. - Rongbin Xu; Wangxing Lin; Zhiqiang Liu; Menglong Wang; Yuanmo Lin; Ying Xie 002 (CCGRID, 2020)

Semi-supervised human resource scheduling based on deep presentation in the cloud. - Yuanmo Lin; Xinmei Wang; Rongbin Xu (EURASIP J. Wirel. Commun. Netw., 2020)

Improved Long Short-Term Memory based anomaly detection with concept drift adaptive method for supporting IoT services. - Rongbin Xu; Yongliang Cheng; Zhiqiang Liu; Ying Xie 002; Yun Yang 001 (Future Gener. Comput. Syst., 2020)

Stacked autoencoder-based community detection method via an ensemble clustering framework. - Rongbin Xu; Yan Che; Xinmei Wang; Jianxiong Hu; Ying Xie 002 (Inf. Sci., 2020)

Dynamic Security Exchange Scheduling Model for Business Workflow Based on Queuing Theory in Cloud Computing. - Rongbin Xu; Jianguo Wu; Yongliang Cheng; Zhiqiang Liu; Yuanmo Lin; Ying Xie 002 (Secur. Commun. Networks, 2020)

Improving the Modelling of Human-centric Aspects of Software Systems: A Case Study of Modelling End User Age in Wirefame Designs. - Aria YukFan Jim; Hyun Shim; Jue Wang; Lionel Richie Wijaya; Rongbin Xu; Hourieh Khalajzadeh; John Grundy 001; Tanjila Kanij (ENASE, 2021)

Modelling Age of End-Users Using Wire-Frames. - Hourieh Khalajzadeh; Tanjila Kanij; Aria YukFan Jim; Hyun Shim; Jue Wang; Lionel Richie Wijaya; Rongbin Xu; John C. Grundy (ENASE (Selected Papers), 2021)

Multi-Modality and Multi-View 2D CNN to Predict Locoregional Recurrence in Head & Neck Cancer. - Jinkun Guo; Rongfang Wang; Zhiguo Zhou; Kai Wang 053; Rongbin Xu; Jing Wang 022 (IJCNN, 2021)

Multimodal weighted network for 3D brain tumor segmentation in MRI images. - Zhiguo Zhou; Rongfang Wang; Jing Yang; Rongbin Xu; Jinkun Guo (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2021)

Multi-view feature transfer for click-through rate prediction. - Dan Jiang; Rongbin Xu; Xin Xu; Ying Xie 002 (Inf. Sci., 2021)

A Workflow Scheduling Strategy for Reasoning Tasks of Autonomous Driving. - Jianbin Liao; Rongbin Xu; Kai Lin; Bing Lin; Xinwei Chen; Hongliang Yu (Int. J. Grid High Perform. Comput., 2022)

Unified adaptive deep classification for industrial real-time situation awareness in edge environment. - Rongbin Xu; Zhiqiang Liu; Yuanmo Lin; Xianliang Feng; Hui Lin; Ying Xie 002 (Concurr. Comput. Pract. Exp., 2023)

Transferable graph neural networks with deep alignment attention. - Ying Xie 002; Rongbin Xu; Yun Yang 001 (Inf. Sci., 2023)

Application of Through Glass Via (TGV) Technology for Sensors Manufacturing and Packaging. - Chen Yu; Shaocheng Wu; Yi Zhong; Rongbin Xu; Tian Yu; Jin Zhao; Daquan Yu (Sensors, 2024)

Alignable kernel network. - Ying Xie 002; Jixiang Wang; Zhiqiang Xu; Junnan Shen; Lijie Wen 001; Rongbin Xu; Hang Xu; Yun Yang 001 (Inf. Fusion, 2025)