Chengwei LEI, Ph.D.    Associate Professor

Department of Computer and Electrical Engineering and Computer Science
California State University, Bakersfield

Selected Publications

#: CSUB Student supervised by Dr. Lei

 


2024

§ W. Tian, C. Lei, Nuisance Tripping Prediction in Residential Power Network with Multiple Environmental Factor Historical Data, The 2024 IEEE Power & Energy Society General Meeting (PESGM 2024), Seattle, Washington, July 21–25, 2024

§ H. Zhang#, C. Lei, Pareto Efficient-Based Optimization for Solar Photovoltaic Installation by Considering Individual User Activity Profile and Local Solar Generation Pattern, The 2024 8th International Conference on Computing, Control and Industrial Engineering (CCIE 2024), Wuhan, China, June 21-22, 2024


2023

§ C. Lei, W. Tian, Z Liu, Demand Profiling Oriented Nuisance Tripping Forecasting for Residential Power Network, The Fifteenth Annual IEEE Energy Conversion Congress and Exposition (ECCE 2023), Nashville, Tennessee, Oct. 29 to Nov. 2, 2023

§ C. Lei, N. Pitts#, R. Jia, W. Tian, Analysis of Power Resilience for Outdated Residential Power Distribution Systems in Realistic Operating Conditions, The Fifteenth Annual IEEE Green Technologies Conference (GreenTech 2023), Denver, Colorado, Apr. 19-21, 2023


2022

§ M.Russell#, G. Cai, S. Merino#, C. Rodriguez#, Z. Scholefield#, J. Moore, G. Salem, C. Lei, Utilizing Data Clustering for Hypotheses Discovery in Multimodal Exercise and Health Interventions with Limited Sample Size, 6th International Conference on Computational Biology and Bioinformatics (ICCBB 2022), Bali, Indonesia, Dec. 26-28, 2022

§ Y. Li, G. Lei, L. Bui, C. Lei, A Hidden Markov Model Based Intelligent Platform for Characterizing Behaviors, IEEE 3rd International Conference on Human-Machine Systems (ICHMS 2022), Orlando, Florida, Nov. 17-19, 2022

§ C. Lei, W Tian, Probability-Based Customizable Modeling and Simulation of Protective Devices in Power Distribution Systems, Energies, 2022(1):199     [Impact Factor: 3.004]


2021

§  J. Crawford#, A. Folsom#, V. Vo#, A. D. Tante#, J. P. Yu, C. Lei, California Oilfield Underground Aquifer Injection Monitoring by Blockchain Technology, 4th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS 2021), Victoria, Canada, May 10-12, 2021

§   X. Mo, D. Peters#, C. Lei, Low Cost Autonomous UAV Swarm Application in Wildfire Surveillance and Suppression, 2021 6th International Conference on Machine Learning Technologies (ICMLT 2021), Jeju Island, South Korea, April 23-25, 2021


2020

§   N. Adnan, C. Lei, J. Ruan, Robust edge-based biomarker discovery improves prediction of breast cancer metastasis, BMC bioinformatics, 21 (14), 1-18     [Impact Factor: 3.242]

§   J. Zhao, W. Zhang, JH. Wang, W. Li, C. Lei, G. Chen, Z. Liang, X. Li, Decision-Making Selector (DMS) for Integrating CCA-Based Methods to Improve Performance of SSVEP-Based BCIs, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Volume 28, Issue 5, Pages 1128-1137     [Impact Factor: 3.34]


2019

§  C. Lei, W. Tian, F. Herrera# , Adaptive Heliostat Control Strategy Based on Gossip Algorithm in Preventing Transient Thermal Flux, The 2019 IEEE Green Technologies Conference (IEEE GreenTech 2019), Lafayette, LA, USA, April 3 - 6, 2019

§   X. Mao, W. Li, C. Lei, J. Jin, F. Duan, S. Chen, A Brain Robot Interaction System by Fusing Human and Machine Intelligence, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Volume 27, Issue 3, March 2019, Pages: 533-542.     [ Impact Factor: 3.34 ]

§  J. Ruan, MJ Jahid, F. Gu, C. Lei, YW Huang, YT Hsu, DG Mutch, CL Chen, N Kirma, T Huang, A novel algorithm for network-based prediction of cancer recurrence, Genomics, Volume 111, Issue 1, January 2019, Pages 17-23.     [ Impact Factor: 6.205 ]


2018

§  W Tian, C Lei, M Tian, Dynamic Prediction of Building HVAC Energy Consumption by Ensemble Learning Approach, 5th Annual Conf. on Computational Science & Computational Intelligence (CSCI 2018), Las Vegas, Nevada, USA, Dec 13-15, 2018

§  S Basak, R Jia, C Lei, Face Recognition using Fuzzy Logic, 2018 IEEE International Conference on Information and Automation (ICIA 2018), Wuyi Mountain, Fujian, China, Aug 11-13, 2018


2017

§  W Tian, C Lei, R Jia and R Winter, Probability Based Worn Circuit Breaker Modeling and Risk Evaluation on Potential Power Grid Failures, IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems (IEEE-CYBER 2017), Waikiki, Hawaii, USA, July 31-August 4, 2017

§C Lei, C Qian, W Tian and R Jia, State Estimation in Computer Virus Epidemic Dynamical Systems using Hybrid Extended Kalman Filter, IEEE International Conference on Information and Automation (IEEE ICIA 2017), Macau SAR, China, July18-20, 2017

§F Ahadi, M Desai, C Lei, Y Li, R Jia, Feature-Based Classification and Diagnosis of Breast Cancer Using Fuzzy Inference System, IEEE International Conference on Information and Automation (IEEE ICIA 2017), Macau SAR, China, July18-20, 2017

§C Lei, W Tian, Y Zhang, R Fu, R Jia and R Winter, Probability-Based Circuit Breaker Modeling for Power System Fault Analysis, IEEE Applied Power Electronics Conference and Exposition (IEEE APEC 2017), Tampa, FL, USA, March 26-30, 2017




2016

§  Weisong Tian, Chengwei Lei, Yucheng Zhang, Dan Li and Robb Winter, DataData Analysis and Optimal Specification of Fuse Model for Fault Study in Power Systems, 2016 IEEE Power & Energy Society General Meeting (IEEE PES-GM 2016), July 17-21, 2016, Boston, MA, USA


2015

§  H Asere, C Lei, R Jia. Cruise Control Design Using Fuzzy Logic Controller, IEEE International Conference on Systems, Man and Cybernetics (IEEE SMC 2015), October 09, 2015 - October 12, 2015, Hong Kong




2014

§  Ph.D. Dissertation,  ProQuest


 2013

§  C. Lei S. Tamim, A. Bishop and J. Ruan, Fully automated protein complex prediction based on topological similarity and community structure. Proteome Science, 11(Suppl 1):S9, 2013     [ Impact Factor: 2.42 ]  

§  MT Weirauch, A Cote, ..., DREAM5 Consortium (C Lei, ..., J Ruan, ..., ), ..., QD Morris, ML Bulyk, G Stolovitzky, and TR Hughes, An evaluation of methods for the modeling of transcription factor sequence specificity. Nature Biotechnology, 31(2):126-34, 2013 Feb.     [ Impact Factor: 23.3 ]  

§  C. Lei and J. Ruan, A novel link prediction algorithm for reconstructing protein-protein interaction networks by topological similarity, Bioinformatics, 29(3): 355-364, 2013.      [ Impact Factor: 5.47 ]  


2012

§  J Ruan, MJ Jahid, F Gu, C Lei, Y Huang, Y Hsu, D Mutch, C Chen, NB Kirma, T Huang. Network-based classification of recurrent endometrial cancers using DNA methylation data, ACM Conference of Bioinformatics, Computational Biology and Biomedicine (ACM BCB 2012), October 7-10, Orlando, Florida, USA 2012. Acceptance rate: 64/159=40.2%.

§  C Lei and J Ruan , A random walk based approach for improving protein-protein interaction network and protein complex prediction, IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2012), October 4 - 7, Philadelphia, PA, USA 2012. Acceptance rate: 59/299=19.93%


2011

§  J Sun, H Pan, C Lei (joint first author), B Yuan, SJ Nair, C April, B Parameswaran, B Klotzle, JB Fan, J Ruan (co-corresponding author) and R Li. Genetic and genomic analyses of an RNA polymerase II-pausing factor in regulation of mammalian transcription and cell growth, Journal of Biological Chemistry, 286(42):36248-36257.      [ Impact Factor: 5.328 ]  

§  J. Ruan, J. Perez, B. Hernandez, C. Lei, G. Sunter and V.M. Sponsel. Systematic identification of functional modules and cis-regulatory elements in Arabidopsis thaliana, BMC Bioinformatics, 12 (Suppl 12):S2.      [ Impact Factor: 2.75 ]  


2010

§  C. Lei and J. Ruan, A particle swarm optimization-based algorithm for finding gapped motifs, BioData Mining, 3:9, 2010      [ Impact Factor: 2.63 ]

§  C. Lei and J. Ruan, Finding gapped motifs by a novel evolutionary algorithm, Proc. of the 8th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics (EvoBio'10), Istanbul, Turkey, April 7-9 2010. Acceptance rate: 38%. Best paper award nominee.


2009

§  C. Lei and J. Ruan, A novel swarm intelligence algorithm for finding DNA motifs(PDF), International Journal of Computational Biology and Drug Design, 2(4):323 - 339, 2009


2008

§  C. Lei and J. Ruan, A Particle Swarm Optimization Algorithm for Finding DNA Sequence Motifs(PDF), 1st Workshop on Data Mining in Functional Genomics, in Conjunction with IEEE International Conference on Bioinformatics and Biomedicine (BIBM'08 workshops), Philadelphia, PA, USA, Nov. 5-7, 2008. Acceptance rate: 50%.