Liu Bo

Personal profile

Name:Liu Bo

Gender:Female

Degrees:Ph.D.

Title:Professor

E-mail:boliu@bjut.edu.cn

Current Professional Societies

1. IEEE Senior Member

2. Program Committee of FC2019-2020 (Int'l Conference on Frontier Computing);

3. Program Committee of COMPSAC 2014-2020 (Int'l Computers, Software & Applications Conference);

4. Program Committee of SCC2020 (IEEE International Conference on Services Computing);

5. Reviewer of International Journal of Business Process Integration and Management, Enterprise Information Systems, Computers in Industry, IEEE Transactions on Automatic Control, IEEE Transactions on Biomedical Engineering, Journal of Biomedical Informatics, Computer Methods and Programs in Biomedicine, Concurrency and Computation: Practice and Experience

Research Areas

Big Data, Data Mining, Machine Learning, Cloud Computing, Bioinformatics, Workflow Performance Analysis, Semantic Web, Ontology Reasoning

Honors

Outstanding Scholar of Beijing University of Technology, 2017

Publications

[1] Liu B, Zhao HP, Liu YX, Wang SY, Li JQ, Li Y, Lang JL, Gu RT. Multi-dimensional Motifs from Multi-dimensional Time Series for Air Pollution Control. Concurrency and Computation: Practice and Experience. Dec.16, 2019.

[2] Liu B, He X, Li JQ, Qu GZ, Lang JL, Gu RT. Granger-causality mining in atmospheric visibility based on deep learning. FC 2019, Kitakyushu, Japan, Jul. 9-12, 2019.

[3] Liu B, Zhang JH, Li JQ, Qu GZ, Li Y, Lang JL. Semi-automated Construction of Air Pollution Domain Ontology. FC 2019, Kitakyushu, Japan, Jul. 9-12, 2019.

[4] Liu B, Jing HP, Li JQ, Li Y, Qu GZ, Gu RT. Image Segmentation of Salt Deposits Using Deep Convolutional Neural Network. SMC 2019, Bari, Italy, Oct. 6-9, 2019, pp.3304-3309.

[5] Liu B, Huang MM, Yao KL, Wei L, Fei XL, Wang Q. Prediction and study of the applicability of medical gels to patients. COMPSAC 2019, Wisconsin, USA, Jul. 15-19, 2019, pp.423-428.

[6] Liu B, Yan S, Li JQ, Qu GZ, Li Y, Lang JL, Gu RT. A Sequence-to-Sequence Air Quality Predictor Based on the n-step Recurrent Prediction. Vol.7, IEEE Access, 2019, pp.43331 - 43345. (IF: 4.098)

[7] Li JQ, Sun JC, Liu L, Liu B*, Xiao C, Wang F. Improved Maximum Margin Clustering via the Bundle Method. IEEE Access, Vol.7, 2019, pp.63709-63721. (IF: 4.098)

[8] Liu B, Yan S, Li JQ, Qu GZ, Li Y, Lang JL, Gu RT. An Attention Based Air Quality Forecasting Method. The 16th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA'18), Orlando, USA. Dec. 17-20, 2018.

[9] Liu B, Li XR, Li JQ, Li Y, Lang JL, Gu RT. Comparison of Machine Learning Classifiers for Breast Cancer Diagnosis Based on Feature Selection. IEEE SMC 2018, Miyazaki, Japan. Oct. 7-10, 2018.

[10] Liu B, Shen LB, You HL, Dong Y, Li JQ, Li Y, Lang JL, Gu RT. Forecasting Road Surface Temperature in Beijing Based on Machine Learning Algorithms. ICCSE 2018, Singapore, Jul. 28-31, 2018.

[11] Liu B, Yao KL, Huang MM, Zhang JH, Li Y, Li R. Gastric Pathology Image Recognition Based on Deep Residual Networks. COMPSAC 2018. Tokyo, Japan. Jul. 23-27, 2018.

[12] Liu B, Shi C, Li JQ, Li Y, Lang JL, Gu RT. Comparison of Different Machine Learning Methods to Forecast Air Quality Index. Frontier Computing (FC 2018). Kuala Lumpur, Malaysia. Jul. 3-6, 2018.

[13] Liu B, Yan S, You HL, Dong Y, Li Y, Lang JL, Gu RT. Road Surface Temperature Prediction based on Gradient Extreme Learning Machine Boosting. Computers in Industry, Apr. 2018, pp.294–302. (IF:2.731)

[14] Liu B, Yan S, You HL, Dong Y, Li JQ, Li Y, Lang JL, Gu RT. An Ensembled RBF Extreme Learning Machine to Forecast Road Surface Temperature. The 16th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA'17), Cancun, Mexico. Dec. 18-21, 2017.

[15] Liu B, Liu YX, Li JQ, Lang JL, Gu RT. Multi-Dimensional Motif Discovery in Air Pollution Data. IEEE SMC 2017, Banff, Canada. Oct. 5-8, 2017.

[16] Liu B, Yao KL, Wei L, Fei XL, Wang Q. The investigation on effectiveness evaluation methods for one medical material used for surgery patients based on Electronic Medical Records data. COMPSAC 2017. Torino, Italy. Jul. 4-8, 2017.

[17] Liu B, Yan S, Li JQ, Li Y. Forecasting PM2.5 Concentration using Spatio-Temporal Extreme Learning Machine. The 15th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA'16), Anaheim, California, USA. Dec. 18-20, 2016, pp.950-953.

[18] Liu B, Li JQ, Yang JJ, Bi J, Li R, Li Y. Pattern Recognition for Large-scale and Incremental Time Series in Healthcare. COMPSAC 2016. Atlanta, USA. Jun. 10-14, 2016, pp.653-658.

[19] Liu B, Li JQ, Chen C, Tan W, Chen Q, Zhou MC. Efficient Motif Discovery for Large-scale Time Series in Healthcare.IEEE Transactions on Industrial Informatics. Vol. 11, Issue 3, Jun. 2015, pp.583-590. (IF: 8.785)

[20] Liu B, Huang KM, Li JQ, Zhou MC. An Incremental and Distributed Inference Method for Large-scale Ontologies based on MapReduce Paradigm.IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics. Vol. 45, No. 1, Jan. 2015, pp.53-64. (IF: 3.236)

[21] Liu B, Wu L, Dong QX, Zhou YC. Large-scale Heterogeneous Program Retrieval through Frequent Pattern Discovery and Feature Correlation Analysis.IEEE 2014 International Congress on Big Data, Jun. 27-Jul. 2, 2014, Anchorage, Alaska, USA, pp.780-781.

[22] Liu B, Wu L, Li JQ, Yang JJ. Exploiting Incremental Reasoning in Healthcare based on Hadoop and Amazon Cloud.Workshops at the Twenty-Eighth AAAI Conference on Artificial Intelligence.Québec City, Canada, Jul. 27-31, 2014, pp.16-22.

[23] Liu B, Madduri R, Sotomayor B, Chard K, Lacinski L, Dave U, Li JQ, Liu CC, Foster I. Cloud-based Bioinformatics Workflow Platform for Large-scale Next-generation Sequencing Analyses.Journal of Biomedical Informatics. Vol. 49, 2014, pp.119-133. (IF: 2.434)

[24] Liu B, Sotomayor B, Madduri R, Chard K, Foster I. Deploying Bioinformatics Workflows on Clouds with Galaxy and Globus Provision.Supercomputing. Salt Lake City, USA. Nov. 10-16, 2012, pp. 1087-1095.

[25] Liu B, Li JQ, Zhao Y. Repairing and Reasoning with Inconsistent and Uncertain Ontologies.Advances in Engineering Software, Vol.45 (1), 2012, pp. 380-390.(IF: 1.092)

[26] Liu B, Fan YS, Huang SX. A Service-Oriented Business Performance Evaluation Model and Performance-Aware Service Selection Method.Concurrency and Computation: Practice and Experience. Vol. 20(15), 2008, pp.1821-1836. (IF:1.791)

[27] Wu L, Du L, Liu B, Xu GD, Ge Y, Fu YJ, Li JH, Zhou YC, Xiong H. Heterogeneous Metric Learning with Content-based Regularization for Software Artifact Retrieval.IEEE International Conference on Data Mining (ICDM 2014). Shen Zhen, China, Dec.14-17, 2014, pp.610-619.

[28] Madduri R, Sulakhe D, Lacinski L, Liu B, Rodriguez A, Chard K, Dave U, Lacinski L, Foster I. Experiences Building Globus Genomics:A Next-Generation Sequencing Analysis Service using Galaxy, Globus, and Amazon Web Services.Concurrency and Computation: Practice and Experience. Vol. 26, Issue. 13, Sep. 2014, pp. 2266-2279. (IF: 0.845)

[29] Li JQ, Yang JJ, Liu CC, Zhao Y, Liu B, Shi YL. Exploiting Semantic Linkages among Multiple Sources for Semantic Information Retrieval.Enterprise Information Systems, Vol. 8(4), 2014, pp.464-489. (IF: 9.256)

[30] Li JQ, Liu CC, Liu B, Mao R, Wang YC, Chen S, Yang JJ, Pan H, Wang Q. Diversity-aware Retrieval of Medical Records.Computers in Industry. Oct. 2014. (IF: 2.028)

Personal Statement

Bo Liu is an associate professor and doctoral supervisor in Faculty of Information Technology, Beijing University of Technology. She received the Ph.D. degree from the Department of Automation, Tsinghua University in 2008. She worked in NEC Laboratory China as a researcher during 2008-2010 and 2013-2015. She was a Research Professional at Computation Institute, The University of Chicago, USA, and Mathematics and Computer Science Division, Argonne National Laboratory, USA, from 2011 to 2012. She joined Beijing University of Technology in 2015 as an associate professor. Her main research focuses on massive spatio-temporal data analysis for air pollution and medical care.

She has published 70 papers, and has 53 patents and 4 software copyrights. She has hosted 25 research projects and joins even more projects, including those funded by the National Natural Science Foundation of China, Beijing Natural Science Foundation and National Key R&D Program of China.