学术论文(Publications)

Journal Papers (Since 2009)

  1. L. Bi*, X. Fan, Y. Liu, “EEG-Based Brain-controlled Mobile Robots: A Survey,” IEEE Transactions on Human-Machine Systems, vol. 43, no. 2, pp. 161-176,2013.

  2. Y. Lu, L. Bi*, H. Li, "Model Predictive-Based Shared Control for Brain-Controlled Driving," IEEE Transactions on Intelligent Transportation Systems, accepted, Jan. 2019.

  3. L. Bi*, O.Tsimhoni, Y. Liu, “Using Image-Based Metrics to Model Pedestrian Detection Performance With Night-Vision Systems,” IEEE Transactions on Intelligent Transportation Systems, vol. 10, no. 1, pp. 155-164, 2009.

  4. L. Bi*, O.Tsimhoni, Y. Liu, "Using the Support Vector Regression Approach to Model Human Performance, " IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans, vol. 41, no. 3, pp. 410-417, 2011.

  5. L. Bi*, G. Gan, J.Shang, and Y. Liu, “QueuingNetwork Modeling of Driver Lateral Control With or Without a CognitiveDistraction Task,” IEEE Transactions on Intelligent Transportation Systems, vol. 13, no. 4, pp. 1810-1820, 2012.

  6. L. Bi*, X. Fan, K.Jie, T. Teng, H. Ding, Y. Liu, “Using a Head-up Display-Based Steady-State VisuallyEvoked Potential Brain-Computer Interface to Control a Simulated Vehicle,” IEEE Transactions on Intelligent Transportation Systems, vol. 15, no. 3, pp. 959-966,2014.

  7. X. Fan, L. Bi*, T.Teng, H. Ding, and Y. Liu, ”A Brain-computer Interface-based Vehicle Destination Selection System Using P300and SSVEP Signals,” IEEE Transactions on Intelligent Transportation Systems, vol. 16, no. 1,pp. 274-283, Feb. 2015.

  8. L. Bi*, M. Wang, C. Wang, Y, Liu” Development of a Driver Lateral Control Model by Integrating Neuromuscular Dynamics Into the Queuing Network-Based Driver Model,” IEEE Transaction on Intelligent Transportation Systems, online, Mar. 2015.

  9. L. Bi*, X. Fan, N.Luo, K. Jie, Y. Li, and Y. Liu,“A Head-Up Display-based P300 Brain-Computer Interface for Destination Selection,” IEEE Transactions on Intelligent Transportation Systems, vol. 14, no.4, pp. 1996-2001, 2013.

  10. T. Teng, L. Bi*, and Y. Liu, "EEG-Based Detection of Driver Emergency Braking Intention for Brain-controlled Vehicles," IEEETransactions on Intelligent Transportation Systems, vol. 19, no. 6, pp.1766 – 1773, 2018.

  11. L. Bi*, G. Gan,and Y. Liu, “UsingQueuing Network and Logistic Regression to Model Driving with a VisualDistraction Task,” International Journal of Human-Computer Interaction, vol. 30, no. 1, pp. 32-39, 2014.

  12. L. Bi*, J. Lian, K. Jie, R. Lai, and Y. Liu, “A Speed and Direction-based Cursor Control Systemwith P300 and SSVEP”, Biomedical Signal Processing and Control, vol. 14, pp. 126–133, 2014.  

  13. L.Bi*, C. Wang, X. Yang, M. Wang, and Y. Liu, “Detecting Driver Normal andEmergency Lane-changing Intentions With Queuing Network-based Driver Models”, International Journal of Human-Computer Interaction, vol. 31, no. 2, pp.139-145, Feb. 2015.

  14. L. Bi*, X. Fan, Y.Liu, "Effects of Symmetry and Number of Compositional Elements on ChineseUsers' Aesthetic Ratings of Interfaces: Experimental and ModelingInvestigations," International Journal of Human-Computer Interaction, vol. 27, no. 3, pp. 245-259, 2011.

  15. L. Bi*, Y. Lu, X. Fan, J. Lian, and Y. Liu, "Queuing Network Modeling of Driver EEG Signals-Based Steering Control", IEEETransactions on Neural Systems and Rehabilitation Engineering, vol. 25, no. 8, pp.1117-1124, 2017.

  16. Y. Lu, L. Bi*, J. Lian, and H. Li, “Mathematical Modeling of EEG Signals-BasedBrain-Control Behavior,” IEEETransactions on Neural Systems and Rehabilitation Engineering, vol. 26,no. 8, pp. 1535-1543, 2018.

  17. L. Bi*, H.Wang, T. Teng, and C. Guan, “A Novel Method of Emergency Situation Detection for a Brain-controlled Vehicle by Combining EEG Signals with SurroundingInformation,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, online, Sept. 2018.

  18. H. Wang, L. Bi*,and T. Teng, “Neural Correlates and Detection of Braking Intention under Critical Situations Based on Power Spectra of Electroencephalography Signals,” SCIENCE CHINA Information Sciences, online Nov. 2018.

  19. Y. Lu and L. Bi*, “EEG Signals-Based Longitudinal Control System for a Brain-Controlled Vehicle,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, online, Dec. 2018.

  20. L. Bi*, A. G. Feleke, and C. Guan, "A review on EMG-based motor intention prediction of continuous human upper limb motion for human-robot collaboration," Biomedical Signal Processing and Control, vol. 51, 2019.

  21. J. Lian, L. Bi*, and W. Fei, "A Novel Event-Related Potential-Based Brain-Computer Interface for Continuously Controlling Dynamic Systems," IEEE Acess, online, 2019.


    Conference Papers (Since 2009)

  1. Luzheng Bi and Yili Liu, “Modeling Driver Car-following Based on the Queuing NetworkCognitive Architecture,” Proceedingsof the 2009 International Conference on Machine Learning and Cybernetics, vol. 2, pp. 895-900, July 2009.

  2. Luzheng Bi and Yili Liu, “ModelingDriver Speed Control with the Queuing Network-Model Human Processor (QN-MHP),” 17thworld Congress on Ergonomics, August 2009. (Invited paper)

  3. Luzheng Bi, Xinan Fan, Guixin Zhang,Yili Liu, Zhilong Chen, “Effects of Symmetry and Number of CompositionalElements on Chinese Users’ Aesthetic Ratings of Interfaces,” 17thworld Congress on Ergonomics, August 2009. (Invited paper)

  4. Xin’an Fan, Luzheng Bi, and ZhiLongChen, “Using EEG to detect drivers' emotion with Bayesian Networks,” 2010International Conference on Machine Learning and Cybernetics, vol.3,pp.1177-1181, 2010.

  5. Luzheng Bi,Junxing Shang, Guodong Gan, and Yili Liu, “Modeling Driver Vehicle Control in a Cognitive Architecture ” 2011 Third PacificAsia Conference on Circuits,Communications and System (PACCS), pp. 1-4,2011.

  6. Luzheng Bi, Zhi Wang, and Xin’an Fan,“EEG Analysis of Drivers under Emergency Situations,” Lecture Notes in InformationTechnology, vol. 10, pp. 190- 193, 2012.

  7. Luzheng Bi*, Nini Luo, and Xin’an Fan,“A Brain-computer Interface in the Context of a Head Up Display System”,2012ICME International Conference on Complex Medical Engineering, pp.241-244, Kobe Japan, 2012.07.01-04, oral presentation.

  8. Xin’an Fan, Luzheng Bi*, and Zhi Wang,“Detecting Emergency Situations by Monitoring Drivers' States from EEG”,    2012 ICME International Conference onComplex Medical Engineering, pp. 245-248, Kobe Japan, 2012.07.01-04,oral presentation.

  9. Luzheng Bi*, Junxing Shang, andGuodong Gan, “Modeling driver lane changing control with the queuingnetwork-model human processor,”2012 International Conference on MachineLearning and Cybernetics (ICMLC 2012), pp. 830-834, Xian, 2012.07.15-17, oral presentation.

  10. Xin’an Fan, Luzheng Bi*, Yun Li, KeJie, and Hongsheng Ding, “A P300 Brain-computer Interface for Controllinga Mobile Robot by Issuing a Motion Command”, 2013 ICME InternationalConference on Complex Medical Engineering, pp.707-710, 2013. 5.

  11. Luzheng Bi*,KeJie, Xin-an Fan, and YunLi, “A SSVEP Brain-computer Interface with the Hybrid Stimuli of SSVEP andP300”, 2013 ICME International Conference on Complex Medical Engineering, pp. 211-214, 2013.5.

  12. Luzheng Bi*, Yun Li, KeJie, and Xin-anFan, “A New SSVEP Brain-computer Interface Based on a Head Up Display”,2013 ICME International Conference on Complex Medical Engineering, pp. 201-204, 2013.5.

  13. Luzheng Bi , Xuerui Yang , Cuie Wang, “InferringLane-changing Intentions Using a Queuing Network Model”, Intelligent Vehicles Symposium(IV), 2013 IEEE, pp.1387 – 1391, 2013, Gold Cost, Austrila.

  14. Xin-an Fan, Luzheng Bi*, HongshengDing, “Using Bayesian Networks with Human Personality and Situation Information to Detect Emotion States from EEG”, 2013 Fourth Global Congress on Intelligent Systems, pp.284-288, 2013.12, Hong Kong.

  15. Luzheng Bi, Cuie Wang, and Xuerui Yang, “A DriverLateral and Longitudinal Control Model Based on Queuing Network CognitiveArchitecture”, 2013 Fourth Global Congress on IntelligentSystems, pp.274-278, 2013.12, Hong Kong.

  16. Luzheng Bi, Jinling Lian, Ke Jie, andXinan Fan, AttentionPattern for a Hybrid BCI System Based on P300 and SSVEP, 2014 ICME InternationalConference on Complex Medical Engineering, Taipei, 2014.

  17. Luzheng Bi, TenghuanHe, and Xinan Fan, “A Driver-Vehicle Interface Based on ERD/ERS Potentials andAlpha Rhythm2014 IEEEInternational Conference on Systems, Man, and Cybernetics, San Diego, USA, 2014.10.05-08.

  18. Luzheng Bi, Ke Jie, Jinling Lian, Bingqing Wu, “A SSVEP Brain-computer Interface Under the Hybrid Stimuli of P300 and SSVEP,” 2014 International Conference on Simulation and Modeling Methodologies, Technologies and Applications, Sanya, 2014.2.

  19. Ke Jie, Luzheng Bi, Jinling Lian, Shuju Zhao, “A P300 Brain-computer Interface Under Hybrid Stimuli of P300 and SSVEP,” 2014 International Conference on Electrical, Control and Automation, Shanghai, 2014.2.

  20. Teng Teng, Luzheng Bi, and Xinan Fan, "Using EEG to Recognize Emergency Situations for Brain-controlled Vehicles," Intelligent Vehicles Symposium(IV), 2015 IEEE, Seoul, Korea.

  21. Mingtao Wang,Luzheng Bi, Yun Lu. “Queuing Network Modeling of Brain-Controlled Vehicles,” 2015 IEEE International Conference on Information and Automation, Lijiang,August 8-10, 2015.

  22. Tenghuan He, Luzheng Bi*, Jinling Lian, and Huafei Sun.“A Brain Signals-BasedInterface Between Drivers and In-Vehicle Devices”, 2016IEEE Intelligent Vehicles Symposium, Gothenburg, Sweden, June 19 – 22, 2016.

  23. Luzheng Bi, Mingtao Wang, Yun Lu, and Feleke Aberham Genetu.“A Shared Controller for Brain-controlled AssistiveVehicles”, 2016 IEEE International Conference Advanced Intelligent Mechatronics, Banff Canada, July 12-15, 2016.

  24. T. Teng and L.Bi*, “A novel EEG-based detection method of emergency situations forassistive vehicles,” Seventh International Conference onInformation Science and Technology (ICIST), Da Nang, Vietnam, April 16-19,2017.

  25. J. Lian, L. Bi*, and X. Fan, “Effects of Illumination and Noise on thePerformance of a P300 Brain-Computer Interface for Assistive Vehicles,” 8thInternational IEEE EMBS Conference on Neural Engineering, Shanghai, May 25-28, 2017.

  26. H. Wang, L. Bi*, and T.Teng,” EEG-Based Emergency Braking Intention Prediction for Brain-controlledDriving Considering One Electrode Falling-off,” 39 th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Jeju Island, Korea, July 11 to 15,2017.

  27. F. He, L. Bi*, and “Model Predictive Control for a Brain-controlled Mobile Robot,”2017 IEEE InternationalConference on Systems, Man, and Cybernetics, Banff,Canada, Oct. 5-8, 2017.

  28. Huikang Wang, Weijie Fei, and Luzheng Bi*, “Neural Signature and Classification of Emergency Braking Intention Based on Effective Connectivity,” 2018             CAC, Xian China, Nov. 30-Dec. 2, 2018.

  29. Huiqi Li, Haonan Shi, and Luzheng Bi*, “Brain-controlled Mobile Robot Based on a Nonlinear Model Predictive Controller,”2018           CAC, Xian China, Nov. 30-Dec. 2, 2018.

  30. Jingwei Zhang, Luzheng Bi*,Jinling Lian, Cuntai Guan, “A Single-Trial Event-Related Potential Estimation Based on Independent Component Analysis and Kalman Smoother,” 2018 IEEE/ASME AIM, Auckland New Zealand, July 9-12, 2018.

  31. Xiaoguang Wang, Luzheng Bi, Weijie Fei, and Huikang Wang, "EEG-based Universal Prediction Model of Emergency Braking Intention for Brain-controlled Vehicles," 2019 IEEE NER, San Fransico, USA, March 20-23,2019.









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