Jiali Yu
Email:
yujiali@uestc.edu.cn ;
Homepage: http://www.machineilab.org/users/yujiali/index.htm
Education
PhD., Computer
Science
Mar 2006 – Jun 2009
University of Electronic Science and Technology of
Supervisor: Prof. Zhang Yi (Email: zhangyi@scu.edu.cn)
Thesis Title: Continuous
Attractors and Fuzzy Control of Recurrent Neural Networks
M.S., Applied Mathematics Sep.
2000 – Apr 2003
School of Applied Mathematics
University of Electronic Science and Technology of
B.S., Applied Mathematics Sep.
1997 – Jul 2000
Department of Mathematics and Computer Science
Professional Experience
Visiting Scholar Oct 2008 –Dec 2008
Laboratory of Neural Information Processing
Shanghai Institute for Biological Science,
Lecturer Jan. 2006
School of Applied Mathematics
University of Electronic Science and Technology of
Teaching Assistant Apr
2003 – Dec 2005
School of Applied Mathematics
University of Electronic Science and Technology of
Research Interests
- Theories and Applications of Neural Network: Dynamics Analysis of Neural Networks, Modeling and Simulation of
Neural Information System
- Control Theories and Applications: Adaptive Control by Neural Networks Approach, Dynamics of
Nonlinear Control System.
Professional Activities
Session
Chair
ü
Chair of the slide
session MM4 “ Soft Computing, Fuzzy Systems I ” at the CIS-RAM 2008 conference
in
ü
Chair of the slide
session WP6 “Other Topics in CIS (Cybernetics and Intelligent Systems)” at the
CIS-RAM 2008 conference in
Research Publications
Journal Papers
1.
Jiali Yu, Z. Yi and L. Zhang, Representations of Continuous Attractors of Recurrent
Neural Networks, IEEE Transactions on Neural Networks, vol. 20, no. 2, 368-372, 2009.
2.
Z. Yi, L. Zhang, Jiali
Yu and K. K. Tan, Permitted and Forbidden Sets in Discrete-time Linear
Threshold Recurrent Neural Networks, IEEE Transactions on Neural Networks, vol. 20, no. 6,952-963, 2009.
3.
L. Zhang, Z. Yi and Jiali
Yu, Multiperiodicity and Attractivity of Delayed Recurrent Neural Networks
with Unsaturating Piecewise Linear Transfer Functions, IEEE Transactions on Neural Networks, vol. 19, no. 1, 158-167, 2008.
4. Jiali Yu, Z. Yi and L. Zhang, Periodicity of a Class of Nonlinear Fuzzy Systems
with Delays, Chaos, Solitons and
Fractals, vol. 40, no. 3, 1343-1351, 2009.
5.
Jiali Yu
and Z. Yi, Stability Analysis for a Class of Nonlinear Fuzzy Systems With Delays, Mathematical Methods, Physical Models and Simulation Science and
Technology, vol.1, no.1, 103-122, 2008.
6.
Jiali Yu
and Z. Yi, Continuous Attractors of
Linear Recurrent Neural Networks with Asymmetric Connection Weights, Journal of Neural Computing
Systems, Accepted.
7.
L. Zhang, Z. Yi, Jiali
Yu and P. A. Heng, Some Multistability Properties of
Bidirectional Associative Memory Recurrent Neural Networks with Unsaturating
Piecewise Linear Transfer Functions, Neurocomputing, (2009) doi: 10.1016 /j.neucom. 2009.05.008.
Conference Papers:
1. Jiali Yu, Z. Yi and L. Zhang,
Representations of Continuous Attractors of
Discrete-Time Cellular Neural Networks, 2008
IEEE International Conference on Cybernetics and Intelligent Systems, 700-704.
2. Jiali Yu and Z. Yi, Adaptive Control for a Class of Nonlinear Fuzzy Control Systems, The 1st International Conference on Advanced
Intelligence,
316-320, 2008.
3. M. Li, Jiali Yu, S. L. Zhang and H. Qu, Solving TSP Using Lotka-Volterra Neural Networks without
Self-Excitatory, 2008 IEEE
International Conference on Cybernetics and Intelligent Systems, 786-790.
4. H. Zhang, S. L. Zhang, Jiali Yu and H.
Qu, Continuous Attractors of a Class of Recurrent Neural Networks without
Lateral Inhibition, 2008 IEEE International Conference on Cybernetics and
Intelligent Systems, 7-11.
5. H. Zhang, Jiali Yu and Z.
Yi, Attractors of
Lotka-Volterra Recurrent Neural Networks, 19th International
Conference on Artificial Neural Networks, Accepted.
Submitted Papers:
1.
Jiali Yu and Z. Yi, Continuous
Attractors of Cellular Neural Networks, Submitted.
2.
Jiali Yu and Z. Yi, Continuous
Attractors of Discrete-Time Recurrent Neural Networks, Submitted.
3.
Jiali Yu, Z. Yi and J. Zhou, Continuous Attractors of Lotka-Volterra Recurrent Neural Networks with Infinite Neurons, Submitted.