JianCheng Lv's Home Page

Jian Cheng Lv

吕 建 成

Machine Learning

Supervised Learning: SVM and Statistical Learning Theory.
Unsupervised Learning: EM Algorithm and Clustering Algorithms.

Learning in Neural Networks

Subspace Learning of Neural Networks: PCA, MCA, ICA Learning Algorithms .
Neural Networks Learning algorithms: BP, SOM, RBF, etc.

Applications

Hand Gesture Recognition:
Intelligent Information Retrieval: intelligence behaviors of search engine.
Data Mining: PCA SOM, Clustering .

1. BOOK

   Subspace Learning of Neural Networks

   Jian Cheng Lv, Zhang Yi and Jiliu Zhou, CRC Press, Talor & Francis Group, in press.

   SELECTED PAPERS

   IEEE TRANSACTIONS

   • Jian Cheng Lv, K. K. Tan, Zhang Yi, and S.Huang, A family of fuzzy learning algorithms for robust principal component analysis neural networks. IEEE Transactions on Fuzzy System, vol. 18, no. 1, pp. 217-226, Feb. 2010.
   • Jian Cheng Lv, K. K. Tan, Zhang Yi, and S.Huang, Convergence Analysis of Hyvärinen and Oja's ICA Learning Algorithms with Constant Learning Rates. IEEE Transactions on Signal Processing, vol. 57, no. 5, pp. 1811-1824, May 2009.
   • Jian Cheng Lv, Zhang Yi and K. K. Tan, Global Convergence of GHA Learning Algorithm with Nonzero-approaching Learning Rates. IEEE Transaction on Neural Networks, vol. 18, no. 6, pp. 1557-1571, 2007.
   • Jian Cheng Lv, Zhang Yi and K. K. Tan, Determining of the Number of Principal Directions in a Biologically Plausible PCA Model. IEEE Transaction on Neural Networks, vol. 18, no. 2, pp. 910-916, 2007.
   • Zhang Yi, Jian Cheng Lv and L. Zhang, Output Convergence Analysis for a Class of Delayed Recurrent Neural Networks with Time Varying Inputs. IEEE Trans. Systems, Man and Cybernetics, Part B, vol. 36, no. 1. Feb. 2006.
   • Zhang Yi, M. Ye, Jian Cheng Lv and K. K . Tan, Convergence Analysis of a Deterministic Discrete Time System of Oja's PCA Learning Algorithm. IEEE Trans. Neural Networks, vol.16, no. 6, pp. 1318-1328, Nov. 2005.

   OTHER JOURNAL PAPERS

   • Jian Cheng Lv, K. K. Tan, Zhang Yi and S. Huang, Stability and Chaos of a Class of Learning Algorithms for ICA Neural Networks. Neural Processing Letters, vol. 28, no. 1, pp. 35-47, Aug. 2008.
   • Jian Cheng Lv, Zhang Yi, Global Convergence of a PCA Learning Algorithm with a Constant Learning Rate. Computers and Mathematics with Applications, vol. 52, pp. 1425-1438, 2006.
   • Jian Cheng Lv, Zhang Yi and K.K. Tan, Global Convergence of Oja’s PCA Learning Algorithm with a Non-Zero-Approaching Adaptive Learning Rate. Theoretical Computer Science, vol. 367, pp. 286-307, 2006.
   • Jian Cheng Lv, Zhang Yi, Some Chaos in a MCA Learning algorithm with a Constant Learning Rate. Chaos, Siliton & Fractals, vol. 33, pp. 1040-1047, 2007.
   • Jian Cheng Lv, Zhang Yi and K. K. Tan, Convergence Analysis of Xu's LMSER Learning Algorithm via Deterministic Discrete Time System Method. Neurocomputing,regular, vol.70, pp. 362-372, 2006.
   • Jian Cheng Lv and Zhang Yi, Stability and Chaos of LMSER PCA learning algorithm. Chaos, Siliton & Fractals, vol. 32, no. 4, pp. 1440-1447, 2007.
   • Jian Cheng Lv, Zhang Yi, Convergence Analysis of Chauvin's PCA Learning Algorithm with a Constant Learning Rate. Chaos, Siliton & Fractals, vol. 32, no. 4, pp. 1562-1571, 2007.
   • L. Shang, Jian Cheng Lv and Zhang Yi, Rigid Medical Image Registeration Using PCA Neural Networks. Neurocomputing, vol. 69, pp. 1717-1722, 2006.
   • M. Ye, Zhang Yi and Jian Cheng Lv, A Globally Convergent PCA Learning Algorithm. Neural Computing and Application, vol. 14, pp. 18-24, 2005 .
   • X. Jiang, Zhang Yi and Jian Cheng Lv, Fuzzy SVM With a New Fuzzy Membership Function. Neural Computing and Application， vol. 15, pp. 268-276, June 2006.
   • Y. Li, and Jian Cheng Lv, Extraction of Specific Signals with Temporal Structure Based on a Linear Predictor. DCDIS A Supplement, Advances in Neural Networks, vol. 14(S1), pp. 163-167, 2007.
   • W. Luo, Jian Cheng Lv and Zhang Yi, Multi-Block-Based MCA for Nonlinear Surface Fitting. DCDIS A Supplement, Advances in Neural Networks, vol. 14(S1), pp. 338-342, 2007.
   • D. Peng, Zhang Yi and Jian Cheng Lv, A Neural Network Learning Algorithm for Minor Component Analysis and Its Convergence Analysis. Neurocomputing,  vol. 71, pp. 1748-1752, 2008.
   • D. Peng, Zhang Yi and Jian Cheng Lv, A Stable MCA Learning Algorithm. Computer & Mathematics  with Applications,  vol. 56, no. 4, pp. 847-860, Aug. 2008.
   • L. Zuo, Zhang Yi and Jian Cheng Lv, An Improved Working Set Selection for SMO-type Decomposition Method . Nonlinear Analysis: Real World Applications, in press.

   CONFERENCE PAPERS

   • Jian Cheng Lv and Zhang Yi, An Improved Backpropagation Algorithm Using Absolute Error Function. Lecture Notes in Computer Science, vol. 3496, pp. 585-590, 2005.
   • Jian Cheng Lv, M. Ye and Zhang Yi, Convergence Analysis for Oja+ MCA Learning Algorithm. Lecture Notes in Computer Science, vol. 3173, pp. 810-815, 2004.
   • S. L. Zhang, Zhang Yi and Jian Cheng Lv, Growing hierarchical principal components analysis self-organizing map. Lecture Notes in Computer Science, vol. 3971, pp. 701-706, 2006.

1. INTERNATIONAL CONFERENCE SECTETARIAT

   • May 28 – June 1, 2006, International Symposium on Neural Networks, Chengdu, P. R. China

   INTERNATIONAL CONFERENCE PC MEMBER

   • June 25 - 28, 2006, International Conference on Communications, Circuits and Systems, Guilin, China
   • June 1 - 6, 2008, IEEE World Congress on Computational Intelligence, Hong Kong, China

   INTERNATIONAL CONFERENCE SESSION CHAIR

   • Sept. 22 - 24, 2008, IEEE International Conference on Cybernetics and Intelligent Systems Robotics, Automation and Mechatronics Chengdu, China

   REVIEWER

   • IEEE Transaction on Signal Processing
   • IEEE Transaction on Neural Networks
   • Journal of Machine Learning Research
   • Neural Processing Letters
   • Computers and Mathematics with Applications

Jian Cheng Lv

Machine Intelligence Laboratory,
College of Computer Science, Sichuan Unversity
24#, South Section 1, Yihuan Road,
Chengdu, 610054, P.R. China.
Email: lvjiancheng@scu.edu.cn, lvjiancheng@gmail.com