Current Professional Societies

1. IEEE Senior Member;

2. Associate Editor of IEEE ACCESS;

3. IEEE Computer Society Member;

4. IEEE SMC Society Member;

5. Technical Committee on Intelligent Systems to Human-aware Sustainability (SMC-TC-ISHS) Member;

6. CIMS Board Member;

7. Member of China Computer Society;

8. Member of China Automation Society;

9. Member of China Artificial Intelligence Association;

10. Member of China Simulation Society;

11. Session Chairs of the International Conference (IEEE SMC2020, 2018, IEEE ICNSC2020, IEEE CLOUD2018, AsiaSim/SCS Autumn-Sim2016);

12. Publication Chair of the International Conference (IEEE ICNSC 2020);

13. PC Members of the International Conference (IEEE CLOUD2018, IEEE ICNSC2018, IEEE IPDPS2018, IEEE CSCWD2018, IEEE CASE 2017, IEEE ICNSC2017, IEEE Big Data2016, APSCC2015).

Research Areas

1. Cloud and edge collaborative computing;

2. Task scheduling and resource optimization;

3. Multi-scale data analysis and deep learning;

4. Energy-efficient computing and green energy.

Honors

1. Chinese Institute of Simulation Science and Technology ProgressAward,First Prize, 2016

2. Second Prize of Scientific Papers from CASIC, 2012

3. IBM Chinese Excellent Award, 2011

4. IBM Fellowship Award, 2010

Publications

Representative journal papers (*Corresponding Author)

1. Haitao Yuan, Heng Liu, Jing Bi^*, and MengChu Zhou. Revenue and Energy Cost-Optimized Biobjective Task Scheduling for Green Cloud Data Centers. IEEE Transactions on Automation Science and Engineering (TASE), pp. 1-14, 25 Feb. 2020.

2. Haitao Yuan, Jing Bi^*, MengChu Zhou, Qing Liu, and Ahmed Chiheb Ammari. Biobjective Task Scheduling for Distributed Green Data Centers. IEEE Transactions on Automation Science and Engineering (TASE), pp. 1-12, 07 Jan. 2020.

3. GongMing Wang,QingShan Jia,JunFei Qiao, Jing Bi, and C. X. Liu. A Sparse Deep Belief Network with Efficient Fuzzy Learning Framework. Neural Networks, 2020,Vol.121, pp. 430-440.

4. Jing Bi, Haitao Yuan^*, and MengChu Zhou.Temporal Prediction of Multiapplication Consolidated Workloads in Distributed Clouds.IEEE Transactions on Automation Science and Engineering (TASE),Vol. 16, No. 4,pp. 1763-1773, Oct. 2019.

5. Haitao Yuan, Jing Bi^*, and MengChu Zhou. Profit-Sensitive Spatial Scheduling of Multi-Application Tasks in Distributed Green Clouds. IEEE Transactions on Automation Science and Engineering (TASE),Vol. 15, No. 10,pp. 5404-5412, Oct. 2019.

6. Haitao Yuan, Jing Bi^*, and MengChu Zhou. Multiqueue Scheduling of Heterogeneous Tasks With Bounded Response Time in Hybrid Green IaaS Clouds. IEEE Transactions on Industrial Informatics (TII), Vol. 15, No. 10, pp. 5404-5412, Oct. 2019.

7. Haitao Yuan, Jing Bi^*, and MengChu Zhou. Spatio-Temporal Task Scheduling for Heterogeneous in Distributed Green Data Centers. IEEE Transactions on Automation Science and Engineering (TASE), 2019.

8. Jing Bi, Haitao Yuan*, and Wei Tan. Deadlock Prevention for Services Orchestration via Controlled Petri Nets. Journal of Parallel and Distributed Computing (JPDC), Vol. 124, pp. 92-105, Feb. 2019.

9. Jing Bi, HaiTao Yuan, LiBo Zhang, and Jia Zhang. SGW-SCN: An Integrated Machine Learning Approach for Workload Forecasting in Geo-Distributed Cloud Data Centers. Information Sciences (INS), Vol. 481, pp. 57-68, May 2019.

10. GongMing Wang, JunFei Qiao, Jing Bi*, WenJing Li, andMengChu Zhou.TL-GDBN: Growing Deep Belief Network with Transfer Learning.IEEE Transactions on Automation Science and Engineering(TASE), Vol. 16, No. 2, pp.874-885, Apr. 2019.

11. GongMing Wang, JunFei Qiao, Jing Bi, QingShan Jia, and MengChu Zhou. An Adaptive Deep Belief Network with Sparse Restricted Boltzmann Machines. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), pp. 1-12, 2019.

12. Haitao Yuan, Jing Bi^*, and MengChu Zhou.Temporal Task Scheduling of Multiple Delay-constrained Applications in Green Hybrid Cloud. IEEE Transactions on Services Computing (TSC), 2018.

13. Haitao Yuan, Jing Bi*, and MengChu Zhou.Spatial Task Scheduling for Cost Minimization in Distributed Green Cloud Data Centers. IEEE Transactions on Automation Science and Engineering (TASE),Vol. PP, No. 99, 2018, pp.1-12.

14. Haitao Yuan, Jing Bi*, MengChu Zhou, and Ahmed Chiheb Ammari. Time-Aware Multi-Application Task Scheduling with Guaranteed Delay Constraints in Green Data Center. IEEE Transactions on Automation Science and Engineering (TASE),Vol. 15, No. 3, pp.1138-1151, July 2018.

15. Jing Bi, Tianzhi Feng, and Haitao Yuan*.Real-time and Short-Term Anomaly Detection for GWAC Light Curves. Computer in Industry, Vol. 97, No. 99, pp.76-84, May 2018.

16. Jing Bi, Haitao Yuan*, Wei Tan, MengChu Zhou, Yushun Fan, Jia Zhang, and Jianqiang Li.Application-Aware Dynamic Fine-Grained Resource Provisioning in a Virtualized Cloud Data Center. IEEE Transactions on Automation Science and Engineering (TASE),Vol. 14, No. 2, 2017, pp.1172-1184.

17. Haitao Yuan, Jing Bi*, Wei Tan, MengChu Zhou, Bo Hu Li, and Jianqiang Li. TTSA: An Effective Scheduling Approach for Delay Bounded Tasks in Hybrid Clouds.IEEE Transactions on Cybernetics (TCYB),Vol. 47, No. 11, 2017, pp. 3658-3668.

18. Haitao Yuan, Jing Bi*, Wei Tan, and Bo Hu Li. Temporal Task Scheduling with Constrained Service Delay for Profit Maximization in Hybrid Cloud. IEEE Transactions on Automation Science and Engineering (TASE),Vol. 14, No. 1, 2017, pp. 337-348.

19. Jing Bi, Haitao Yuan*, Wei Tan, and Bo Hu Li. TRS: Temporal Request Scheduling with Bounded Delay Assurance in a Green Cloud Data Center. Information Sciences (INS),Vol. 360, No. 10, Sept. 2016, pp. 57-72.

20. Haitao Yuan, Jing Bi*, Wei Tan, and Bo Hu Li.CAWSAC: Cost-Aware Workload Scheduling and Admission Control for Distributed Cloud Data Centers. IEEE Transactions on Automation Science and Engineering (TASE),Vol. 13, No. 2, 2016, pp. 976-985.

Representative conference papers (*Corresponding Author)

1. Heng Liu, Xiaofen Zhang,Jing Bi*, Haitao Yuan, MengChu Zhou. Intelligent Task Scheduling for Green Clouds with LSTM-based Prediction and Bi-objective Optimization.17th IEEE International Conference on Networking, Sensing and Control (ICNSC 2020), Nanjing, China, March 7-10, 2020.

2. YongZhe Lin, QuanXi Dong, Jing Bi*, Haitao Yuan, MengChu Zhou.Attention-based Long Short-term Memory for Water Quality Prediction.17th IEEE International Conference on Networking, Sensing and Control (ICNSC 2020), Nanjing, China, March 7-10, 2020.

3. Haitao Yuan, Jing Bi*, and MengChu Zhou. QoS and Profit Aware Task Scheduling with Simulated-Annealing-Based Bi-Objective Differential Evolution in Green Clouds. 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE 2019), Vancouver, BC, Canada, August 22-26, 2019, pp. 904-909.

4. Huizhang Luo, Dan Huang, Qing Liu, Zhenbo Qiao, Hong Jiang, Jing Bi, Haitao Yuan. Identifying Latent Reduced Models to Precondition Lossy Compression. 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS 2019), Rio de Janeiro, Brazil, 2019, pp. 293-302.

5. G. M. Wang, J. F. Qiao, Jing Bi*, M. C. Zhou. An Efficient Deep Belief Network with Fuzzy Learning for Nonlinear System Modeling. IEEE International Conference on Systems, Man and Cybernetics (SMC 2019), Bari, Italy, October 6-9, 2019, pp: 3549-3554.

6. QuanXi Dong, YongZhe Lin, Jing Bi*, Haitao Yuan.An Integrated Deep Neural Network Approach for Large-Scale Water Quality Time Series Prediction.2019 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2019), Bari, Italy, October 6-9, 2019.

7. Jing Bi, Shuang Li, Haitao Yuan, Ziyan Zhao, and Haoyue Liu. Deep Neural Networks for Predicting Task Time Series in Cloud Computing Systems. 16th IEEE International Conference on Networking, Sensing and Control (ICNSC 2019), May 9-11, 2019, Banff, Canada. (Best Paper Finalist)

8. Haitao Yuan, Jing Bi*, andMengChu Zhou. Geographical Scheduling of Multi-Application Tasks for Cost Minimization in Distributed Green Data Centers. 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2018), Miyazaki, Japan Oct 7-10, 2018.

9. Jing Bi, Haitao Yuan,Jia Zhang, andMengChu Zhou. Temporal Tasks Scheduling for Delay- constrained Applications in Geo-distributed Green Cloud Data Centers. 11th IEEE International Conference on Cloud Computing (CLOUD 2018), July 2-7, 2018, San Francisco, CA, USA.

10. Jing Bi, Libo Zhang, Haitao Yuan,and MengChu Zhou. Hybrid Task Prediction Based on Wavelet Decomposition and ARIMA Model in Cloud Data Center. 15th IEEE International Conference on Networking, Sensing and Control (ICNSC 2018), March 27-29, 2018, Zhuhai, China.

11. Haitao Yuan, Jing Bi*, Jia Zhang, Wei Tan, Keman Huang.Workload-Aware Revenue Maximization in SDN-Enabled Data Center. 10th IEEE International Conference on Cloud Computing (CLOUD 2017), June 25-30, 2017, Honolulu, Hawaii, USA. (Research Track)

12. Haitao Yuan, Jing Bi*, and MengChu Zhou. Revenue-Sensitive Scheduling of Multi-Application Tasks in Software-Defined Cloud.13th IEEE Conference on Automation Science and Engineering (CASE 2017), August 20-23, 2017.

13. Tianzhi Feng, Zhihui Du, Yankui Sun, Jianyan Wei, Jing Bi, and Jason Liu.Real-Time Anomaly Detection of Short Time-Scale GWAC Survey Light Curves. 6th IEEE International Congress on Big data, June 25-30, 2017, Honolulu, Hawaii, USA.

14. Jing Bi, Haitao Yuan, Yushun Fan, Wei Tan,Jia Zhang. Dynamic Fine-Grained Resource Provisioning for Heterogeneous Applications in Virtualized Cloud Data Center.IEEE the 8th International Conference on Cloud Computing (CLOUD 2015),New York, USA, June 27-July 2, 2015,pp. 429-436.

15. Yayu Ni, Yushun Fan, Keman Huang, Jing Bi, Wei Tan.Negative-connection-aware Tag-Based Association Mining and Service Recommendation. The 12th International Conference on Service Oriented Computing (ICSOC 2014), pp. 419-428, 2014.

16. Zhiliang Zhu,Jing Bi*,Haitao Yuan, Ying Chen.SLA Based Dynamic Virtulization Resource Provisioning for Shared Cloud Data Centers.IEEE the 4th International Conference on Cloud Computing (CLOUD 2011), Washington DC, USA, July 4-9, 2011.(Acceptance rate 15%)

17. Jing Bi, Zhiliang Zhu,Haitao Yuan,Yushun Fan, and Ming Tie. A Petri Net Based Hybrid Optimal Controller for Deadlock Prevention in Web Service Composition. 9th IEEE International Conference on Web Services (ICWS), pp. 718-719, Washington DC, USA, 2011.(DOI:10.1109/ICWS.2011.90).

18. Jing Bi,Zhiliang Zhu, Ruixiong Tian, Qingbo Wang.Dynamic Provisioning Modeling for Virtualized Multi-tier Applications in Cloud Data Center.IEEE the 3th International Conference on Cloud Computing (CLOUD 2010), pp. 370-377, Miami, Florida, USA, July 5-10, 2010.(Acceptance rate 16%)

Personal Statement

Bi Jing received her B.S., and Ph.D. degrees in Computer Science from Northeastern University, Shenyang, China. She was a Post-doc researcher at Department of Automation in Tsinghua University, Beijing, China. She was a research scientist at the Beijing Research Institute of Electronic Engineering Technology, Beijing, China. She was a research assistant and participated in research on cloud computing at the IBM Research, Beijing, China. She was also a Visiting Research Scholar with the Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA. She is currently an Associate Professor with the Faculty of Information Technology, School of Software Engineering, Beijing University of Technology, Beijing, China.

She has over 80 publications including journal and conference papers. Her research interests are in cloud and edgecollaborative computing, multi-scale data analytics, machine learning and performance optimization. Dr. Bi was the recipient of the IBM Fellowship Award, and the recipient of the Best Paper Award-Finalist in the 16th IEEE International Conference on Networking, Sensing and Control. She is now an Associate Editor of IEEE ACCESS. She is a senior member of the IEEE.