12、香港研究資助局 A Model-based learning strategy incorporating on machine inspection for the compensation of workpiece errors in CNC machining 1998.1-2000.12 主要參加人
13、香港ITFE-Monitoring and Intelligent Diagnosis of Plastic Injection Molding Machines 2002.1-2003.12 主要參加人
14、Advantage West Midlands (AWM),UK.Computional Intelligence and Application 2003.1-2007.3 參加人
論文發表
生物醫學工程:
1. Chengbiao Lu, Gaoxiang Ouyang, Z. Henderson, XiaoliLi. Induction of theta-frequency oscillations in the rat medial septaldiagonal band slice by metabotropic glutamate receptor agonists, Neuroscience,Vol. 177, pp. 1-11, 2011.
2. Duan Li, Xiaoli Li*, ZhenhuLiang, Voss Logan and Jamie Sleigh, Multiscale permutation entropy analysis ofEEG recordings during sevoflurane anesthesia, Journal of Neural Engineering,7 (4) 046010, 2010 (SCI, IF=2.74）
3.Dan Chen, Duan Li, Muzhou Xiong, Hong Bao, XiaoliLi*, GPGPU-Aided Ensemble Empirical Mode Decomposition forElectroencephalogram Analysis during Anaesthesia, IEEE Transactions on Information Technology in BioMedicine. 14 (6), 1417-1427, 2010..
4. Dong Cui, Xiaoli Li*, Xueqing Ji and LanxiangLiu, Multi-channel Neural Mass Modelling and Analyzing, SCIENCE CHINA Information Sciences, In press.
5. G. Gu,D. Cui, Xiaoli Li. Segmentation ofOverlapping Leukocyte Images with Phase Detection and Spiral Interpolation,Computer Methods inBiomechanics and Biomedical Engineering, in press
6. Dong Cui, Xianzeng Liu, YouWan, XiaoliLi*, Estimation ofgenuine and random synchronization in multivariate neural series, Neural Networks, 23(6):698-704, 2010(SCI: IF=2.66).
7. Xiaoli Li*and G.X. Ouyang, Estimatingcoupling direction between neuronal populations with permutation conditionalmutual information, NeuroImage, 52 (2010) 89-99. (SCI: IF=5.69).
8. Premysl Jiruska, Jozsef Csicsvari, Andrew Powell,John Fox, Wei-Chih Chang, Martin Vreugdenhil,Xiaoli Li, MilanPalus, Alejandro Fernandez, Richard Dearden, and John Jefferys, High-frequency network activity, global increase in neuronalactivity and synchrony expansion precede epileptic seizures in vitro. Journalof Neuroscience, 30(16): 5690-5701,2010. (SCI: IF=7.45)
9. Xiaoli Li*, Gaoxiang Ouyang, Astushi Usami, Yuji Ikegaya, andAttila Sik, Scale-free topology of the CA3 hippocampal network: a novelmethod to analyze functional neuronal assemblies, Biophysical Journal98(9): 1733-1741, 2010（SCI:IF =4.683）
10. Gaoxiang. Ouyang, C. Dang Douglas Richards and Xiaoli Li*，Ordinal pattern based similarity analysis for EEGrecordings,Clinical Neurophysiology, 121 (5) 694-703, 2010. (SCI: IF=2.97)
11. Xiaoli Li*,Duan Li, Logan Voss and Jamie W. Sleigh, The ComodulationMeasure of Neuronal Oscillations with General Harmonic Wavelet Bicoherence andApplication to Sleep Analysis, NeuroImage, 48(3):501-14, 2009(SCI: IF=5.69)
12. S. He, Xiaoli LiMark R. Viant, XinYao, Profiling Mass SpectrometryProteomics Data using Smoothed Nonlinear Energy Operator and Bayesian AdditiveRegression Trees, Protemomics,9 (17), 4176-4191, 2009 (SCI: IF=4.59)
13. Gaoxiang Ouyang, Xiaoli Li*,Chuangyin Dang, Douglas A. Richards, Deterministic dynamics of neural activityduring absence seizures in rats. Physical Review E. 79 041146 2009.(SCI: IF=2.51)
14. Gaoxiang. Ouyang, C. Dang and Xiaoli Li*, MultiscaleEntropy Analysis of EEG Recordings in Epileptic Rats, Biomedical Engineering:Applications, Basis and Communications (BME). 21 (3) June2009: 169 - 176
15. Xiaoli Li*, S.Y Cui and LoganVoss, Using Permutation Entropy to Measure the Electroencephalographic Effectsof Sevoflurane, Anesthsiology，109(3), 448-456, 2008. (SCI: IF=5.12)
16. P. Jiruska, M. Tomasek, D. Netuka, J. Otahal, J.G.R. Jefferys,Xiaoli Li, P. Marusic, Clinical Impact of High-frequencySeizure Onset Zone in a Caseof Bitemporal Epilepsy, Epileptic Disorders2008 Sep;10(3):231-238. (SCI: IF=1.07)
17. Xiaoli Li*, John Jefferys,John Fox and Xin Yao, Neuronal Population Oscillation Analysis of RatHippocampus during Epileptic Seizure, Neural Networks, 21, 1105-1111,2008. (SCI:IF=2.66)
18. Xiaoli Li*, Duan Li, Zhenhu Liang, Logan J. Voss, JamieW. Sleigh，Analysis of depth of anesthesia with Hilbert–Huang spectral entropy，Clinical Neurophysiology, 119(11), 2465-75, 2008 (SCI: IF=2.97)
19. G. Ouyang, XiaoliLi*, C. Dang, and Douglas Richards, Using Recurrence plot fordeterminism analysis of EEG recordings in genetic absence epilepsy rates, ClinicalNeurophysiology, 119(8), 1747–1755(2008). (SCI:IF=2.97)
20. Xiaoli Li*, Dong Cui, PremyslJiruska, John E Fox, Xin Yao, and John Gordon Ralph Jefferys, SynchronizationMeasurement of Multiple Neuronal Populations, Journal of Neurophysiology98: 3341-3348, 2007. (SCI: IF=3.65)
21. P. HE Tiesinga, XiaoliLi, Seiichi Sakatani, Zsolt Boldogkoi, H. Hirase and Attila Sik.,Synchronization of Interhippocampal Ripple Events (80-200 Hz) by Long-projectionInhibitory Neurons, BMC Neuroscience 8(Suppl 2): P45, 2007. (SCI: IF=2.85)
22. Xiaoli Li*, G. Ouyang andDouglas Richards, Predictability Analysis of Absence Seizures with PermutationEntropy, Epilepsy Research, 77: 90-74, 2007. (SCI, IF=2.41)
23. Xiaoli Li*, Jamie Sleigh,Logan Voss and G. Ouyang, Interpretation of Anesthetic Drug Effect usingRecurrent Dynamics of EEG Recordings, Neuroscience Letters, 424: 47-50, 2007.（SCI, IF=2.2）
24. Xiaoli Li*, Jin Li, Xin Yao, AWavelet-Based Pre-processing Technique for Mass Spectrometry, Computers inBiology and Medicine, 37: 509-516, 2007. (SCI, IF=1.27)
25. G. Ouyang, XiaoliLi*, Yan Li, X.P. Guan, Application of Wavelet-based Similarity Analysisto Epileptic Seizures Prediction, Computers in Biology and Medicine, 37:430-437, 2007. (SCI, IF=1.27)
26. Xiaoli Li*, Xin Yao, John R. G.Jefferys and John Fox, Interaction Dynamics of Neuronal Oscillations Analysedusing Wavelet Transforms,Journal of Neuroscience Methods, 160: 178-185,2007(SCI, IF=2.09).
27. Xiaoli Li*, Temporal Structureof Neuronal Population Oscillations with Empirical Model Decomposition, Phy.Lets. A, 356(3): 237-241, 2006 (SCI, IF=2.17)
29. Xiaoli Li*, P.G. Kapiris, J.Polygiannakis, K.A. Eftaxias, X. Yao, Fractal Spectral Analysis of Pre-epilepticSeizures Phase: in Terms of Criticality,Journal of Neural Engineering,2:11-16, 2005.（SCI, IF=2.74）
30. P.G. Kapiris, J.Polygiannakis, Xiaoli Li, X. Yao, K.A. Eftaxias, Similarities in PrecursoryFeatures in Seismic Shocks and Epileptic Seizures, Europhys. Lett., 69(4):657–663, 2005 (SCI, IF=2.2).
31. Xiaoli Li*, Gaoxiang Ouyang,Xin Yao, Xinping Guan, Dynamical Characteristics of Pre-epileptic Seizures inRats with Recurrence Quantification Analysis, Physics Letters A, 333:164–171, 2004 (SCI, IF=2.17)
智慧型監控:
32. S.Y. Chen, G.J. Luo,Xiaoli Li, S.M. Ji, B.W. Zhang, "The Specular Exponent as a Criterion forAppearance Quality Assessment of Pearl-Like Objects by Artificial Vision,"IEEE Trans. on Industrial Electronics, vol. 58, pp., 2011. (in press)
33. Xiaoli Li, ChrisBowers, Thorsten Schnier，Classificationof Energy Consumption in Buildings with Outlier Detection,IEEE Trans. onIndustrial Electronics, 57 (11):3639-3644, 2010 (IF=5.47).
34. Xiaoli Li*, S. K. Tso, X. P. Guan, Improving Automatic Detection ofDefects in Castings by Applying Wavelet Technique.IEEE Trans. on IndustrialElectronics, 53 (6): 1927-1934, 2006 (SCI,IF=5.47).
36. Xiaoli Li*, Du R, Denkena B, Imiela J, Tool Breakage Monitoring using MotorCurrent Signals for Machine Tools with Linear Motors,IEEE Trans. IndustrialElectronics, 52(5): 1403-1408, 2005 (SCI, IF=5.47).
37. Xiaoli Li*, Djordjevich, Alexandar, K. V. Patri, Current Sensor-basedFeed Cutting Force Intelligent Estimation and Tool Wear Condition Monitoring.IEEE Trans. on IndustrialElectronics, 47(3): 697-702, 2000 (SCI, IF=5.47)
38. Xiaoli Li*, S. K Tso, Jun Wang, Real Time Tool Condition Monitoringusing Wavelet Transforms & Fuzzy Techniques. IEEE Trans. on Systems,Man, and Cybernetics Part C: Applications and Reviews, 30(3): 352-357 2000(SCI, IF=1.38)
39. Xiaoli Li* and H. Li, X. Guan, R. Du, Fuzzy Estimation of Feed-cuttingForce from Current Measurement - a Case Study on Tool Wear Monitoring,IEEETrans. Systems, Man, and Cybernetics Part C: Applications and Reviews, 34(4): 506-512, 2004 (SCI, IF=1.38).
40. Xiaoli Li*, Bin Hu and R. Du, Predicting the parts weight in plasticinjection molding using least squares support vector regression,IEEE Trans.Systems, Man, and Cybernetics Part C: Applications and Reviews, 38 (6),827-833, 2008 (SCI, IF=1.38).
41. Xiaoli Li*, R. Du. X. P. Guan,Utilization of Information Maximum for Condition Monitoring in a MachiningProcess and a Water Pump, IEEE/ASME Trans. Mechatronics, 9(4): 711-714,2004 (SCI, IF=1.61)
42. Xiaoli Li*, Detection of Tool Flute Breakage in End Milling usingFeed-motor Current Signatures, IEEE/ASME Trans. on Mechatronics. 6(4):491-498, 2001 (SCI, IF=1.61)
43. Tonshoff HK, XiaoliLi*, Lapp C, Application of Fast Haar Transform and ConcurrentLearning to Tool-breakage Detection in Milling, IEEE/ASME Trans. onMechatronics, 8(3): 414-418, 2003 (SCI, IF=1.61)
44. Hua Changchun; GuanXinping; Xiaoli Li; Shi Peng, Adaptive Observer-based Control fora Class of Chaotic Systems, Chaos, Solitons and Fractals, 22(1): 103-110,2004 (SCI, IF=2.98,)
45. Xiaoli Li* and Halim Bassiuny, Transient Dynamical Analysis of StrainSignals in Sheet Metal Stamping Processes, International Journal of MachineTools and Manufacture, 48 (2008) 576–588. (SCI, IF=1.58)
46. Xiaoli Li*, G. X. Ouyang, Z. H Liang, Complexity Measure of MotorCurrent Signals for Tool Flute Breakage Detection in End Milling, InternationalJournal of Machine Tools and Manufacture, 48/3-4 pp 371-379, 2008. (SCI,IF=1.58)
47. Halim Bassiuny, XiaoliLi* and Ruxu Du, Fault Diagnosis of Stamping Process Based on EmpiricalMode Decomposition and Learning Vector Quantization, International Journalof Machine Tools and Manufacture, 47 (15),2007, 2298-2306. (SCI, IF=1.58)
48. Halim Bassiuny, XiaoliLi*, Flute Breakage Detection during End Milling using Hilbert-HuangTransform and Smoothed Nonlinear Energy Operator, International Journal ofMachine Tools and Manufacture, 47: 1011-1020, 2007. (SCI, IF=1.58)
49. Xiaoli Li*, A Brief Review:Acoustic Emission Method for Tool Wear Monitoring during Turning, InternationalJournal Machine Tools and Manufacture, 42: 157-165, 2002 (SCI, IF=1.58,).
52. Xiaoli Li*., On-line Detection of the Breakage of Small Diameter Drillsusing Current Signature Wavelet Transform,International Journal MachineTools & Manufacture, 39(1): 157-164, 1999 (SCI, IF=1.58)
53. Xiaoli Li*, Xinping Guan,Time-frequency Analysis based Minor Cutting Edge Fracture Detection during EndMilling, Mechanical System and Signal Processing, 18: 1485-1496, 2004 (SCI,IF=1.98)
54. Xiaoli Li*, SK Tso, Drill Wear Monitoring based on Current Signals, Wear,231(2): 172-178, 1999 (SCI, IF=1.51)
56. Xiaoli Li*, Development of Current Sensor for Cutting Force Measurementin Turning, IEEE Trans. Instrumentation and Measurement, 54(1): 289-296,2005 (SCI, IF=0.98).
57. XiaoweiMa, Xiaoli Li*, Hong Qiao. FuzzyNeural Network-based Real-time Self-reaction of Mobile Robot in UnknownEnvironments. Mechatronics. 11(8): 1039-1052, 2001 (SCI, IF=1.43)
58. Xiaoli Li*, R. Du, Condition Monitoring Using Latent Process Model withan Application to Sheet Metal Stamping Processes, ASME Trans. J. Manuf. Sci.Engg., 127(2): 376-385, 2005 (SCI, IF=0.74)
59. Xiaoli Li*, Ruxu Du, Analysis and Compensation of Workpiece Errors inTurning, International Journal of Production Research, 40(7): 1647-1667,2002 (SCI , IF=0.56)
60. Xiaoli Li*, Real Time Tool Wear Condition Monitoring in Turning, InternationalJournal of Production Research. 39(5): 981-992, 2001 (SCI , IF=0.56).
61. B Bedkena, HKTonshoff, Xiaoli Li*, Imiela J, Lapp C, Analysis and Control/monitoringof the Direct Linear Drivein End Milling. International Journal of Production Research, 42(24):5149-5166, 2004 (SCI, IF=0.56)
62. Shupin Ji, XiaoliLi*, R. Du, Tolerance Synthesis Using of Second-order Fuzzy ComprehensiveEvaluation and Genetic Algorithm for Tolerance Design.International J. ofProduction Research. 38(15): 3471-3483, 2000 (SCI, IF=0.77)
63. John A. Bullinaria, XiaoliLi, An Introduction to Computational Intelligence Techniques for RobotControl, Industrial Robot, 34(4): 295-302, 2007. (SCI, IF=0.4)
64. J. Li, Z. Shi, XiaoliLi, Genetic Programming with Wavelet-Based Indicators for FinancialForecasting, Transactions of the Institute of Measurement andControl, 28(3): 285-297,2006 (SCI, IF=0.5)
65. Yinggan Tang, XiumeiZhang, Xiaoli Li* and Xinping Guan. Application of a new imagesegmentation method to detection of defects in castings, International Journal Advanced Manufacturing Technology. 2008, (in press) (SCI, IF=0.74)
66. Xiaoli Li*, Real-time Prediction ofWorkpiece Errors for a CNC Turning Centre, Part: 1 Errors Measurement and Identification,InternationalJournal Advanced Manufacturing Technology. 17(9):649-653, 2001 (SCI, IF=0.74)
67. Xiaoli Li*, Real-time Prediction ofWorkpiece Errors for a CNC Turning Centre,Part: 2 Modeling and Estimation of ThermallyInduced Errors, InternationalJournal Advanced Manufacturing Technology. 17(9):654-658, 2001 (SCI, IF=0.74)
68. Xiaoli Li*, Real-time Prediction ofWorkpiece Errors for a CNC Turning Centre, Part: 3 Cutting Force Estimationusing Current Sensors, InternationalJournal Advanced Manufacturing Technology. 17(9):659-664, 2001 (SCI, IF=0.74)
69. Xiaoli Li*, Real-time Prediction ofWorkpiece Errors for a CNC Turning Centre, Part: 4 Cutting Force-inducedErrors. International Journal AdvancedManufacturing Technology 17(9): 665-669, 2001 (SCI, IF=0.74)
70. Xiaoli Li*, Patri K. Venuvinod, Djordjevich, Alexandar Z. Liu,Predicting Machining Errors in Turning using Hybrid Learning, InternationalJournal Advanced Manufacturing Technology. 18:863-872, 2001 (SCI, IF=0.74)
71. Xiaoli Li*, J. Wu, Wavelet Analysis of Acoustic Emission Signals inBoring. Journal of Engineering Manufacture, Proceeding of the Institute of Mechanical Engineers Part B, 214(5):421-424, 2000 (SCI,IF=0.28)
72. Shuping Ji, XiaoliLi*, Yuli Ma, Optimal Tolerance Allocation based on Fuzzy ComprehensiveEvaluation and Genetic Algorithm. International Journal of AdvancedManufacturing Technology, 16: 451-468, 2000 (SCI, IF=0.74)
73. Xiaoli Li*, Shen Dong, K. V. Patri, Hybrid Learning for Tool WearMonitoring,International Journal of Advanced ManufacturingTechnology, 16(5): 303-307, 2000 (SCI, IF=0.74)
74. Xiaoli Li*, K. V. Patri, M. K. Cheng, Feed Cutting Force Estimation fromthe Current Measurement with Hybrid Learning, International Journal AdvancedManufacturing Technology, 16:859-862, 2000 (SCI, IF=0.74)
75. Xiaoli Li*, Real-time Detection of the Breakage of Small Diameter Drillswith Wavelet Transform, International Journal of Advanced Manufacturing Technology,14(8): 539-543,1998 (SCI, IF=0.74)
76. Zhipin Ye, XiaoliLi*, C. Dang, Optimization of Main Parts of Hydroelectric Sets usingHybrid Genetic Algorithm, Journal Materials Processing Technology, 105: 152-160,2000 (SCI)
77. Xiaoli Li*, Xinping Guan, Hongrui Wang, Identification of Tool WearStates with Fuzzy Classification, International Journal Computer IntegratedManufacturing. 12(6): 503-509, 1999 (SCI, IF=0.72)
79. Xiaoli Li*, K. V. Patri, Wavelet Packet Transforms of Acoustic EmissionSignals for Tool Wear Monitoring, International Journal for ManufacturingScience & Technology, 1(2): 89-93, 1999
80. Xiaoli Li*, Gaoxiang Ouyang, X. P. Guan, R. Du, Ram Position Control inPlastic Injection Molding Machines with Higher-order Iterative Learning, Controland Intelligent Systems, 34(1): 64-71, 2006（EI）
81. H. Y. Lau, XiaoliLi, R. Du, A new method for monitoring and tuning plastic injectionmolding machines, Control and Intelligent Systems, Vol.36 No. 2, 1862,2008. (EI)
82. S. He, XiaoliLi*, Application of a Swarm-based Artificial Neural Network to UltrasonicDetector Based Machine Condition Monitoring, Dynamics of Continuous,Discrete and Impulsive Systems, 14(S1):536-542,2007.
83. Xiaoli Li*, Ruxu Du, Monitoring Machining Processes based on DiscreteWavelet Transform and Statistical Process Control, International Journal ofWavelets, Multiresolution and Information Processing, 2 (3): 299-311, 2004 25.
84. XuguangZhang, Honghai Liu, Xiaoli Li. Target Tracking forMobile Robot Platforms via Object Matching and Background Anti-matching,Robotics and Autonomous Systems，58 (2010) 1197–1206, (SCI).
85. Xuguang Zhang, Xiaoli Li, Ming Liang, Yanjie Wang. Covariance tracking with forgetting factor and random sampling,International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. In press (SCI).
教材著作
專著、教材
1、 Xiaoli Li, Complexity and Synchronization Measures of EEG with a Time Varying Parametric Model, (Chapter 5), Life Science Data Mining, edited by Stephen Wong & Chung-Sheng Li, World Scientific Press, Jan. 2007.
2、 Xiaoli Li, X. Guan, D. Ru, Using Damping Time for Epileptic Seizures Detection in EEG (pp. 255-258), Modelling and Control in Biomedical Systems (Edited by Feng and Carson), Elsevier Ltd, 2003
3、 Xiaoli Li, Fuzzy Neural Network & Wavelet for Tool Condition Monitoring (Chapter 15). Computational Intelligence in Manufacturing Handbook, edited by J. Wang and A. Kusiak, CRC Press USA, Dec. 2000.
李小俚教授