【中文简介】

Shukai Duan is the Dean and Professor of the College of Artificial Intelligence, Southwest University, Chongqing, China. He is also the Director of National Local Joint Engineering Laboratory of Intelligent Transmission and Control Technology, the Director of the Key Laboratory of Brain-Like Computing and Intelligent Control in Chongqing, and the Deputy Director of Artificial Intelligence and Robotics Education Special Committee of China Automation Society.

Prof. Duan got his Ph.D. degree in Computer Science in 2006 from Chongqing University, China. After that, he has made pioneering contributions to the field of artificial intelligence. His research focuses on the memristor, artificial neural networks, brain-like intelligent chips, etc. He has published 4 books and more than 300 research papers in Nature Communications, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on VLSI Systems, etc. He serves as Associate Editor for a few famous international journals in artificial intelligence IEEE Transactions on Neural Networks and Learning Systems, Artificial Intelligence Review, Neurocomputing, Automation Journal. In 2020, he got the "Outstanding Associate Editor of 2020" for his outstanding contribution to the IEEE Transactions on Neural Networks and Learning Systems. He has taken charge of a national key R&D plan and more than twenty national, provincial, or ministry-level research projects, including National Key Research and Development Project, National Natural Science Foundation of China (NSFC), and the Program for New Century Excellent Talents from Ministry of Education. He has been distinguished Visiting Professor in several world-leading universities such as the University of Michigan, USA, the University of Windsor, Canada, the University of Texas, Qatar, and the City University, Hong Kong. He has organized many international academic conferences and served as General Chair, co-chair, Program Chair, Program Co-Chair, Publicity Chair, etc. He also held over 10 patents, and has given numerous keynote speeches and invited talks, chaired several conferences.

Contact Information

Telephone: +86-23-68258812

Fax: +86 23 68250153

Email: duansk@swu.edu.cn

Address: No. 2 Tiansheng Road, Beibei District, Chongqing, 400715, P. R. China

Education

Ph. D., (C.S.), Chongqing University, P. R. China, 2006.

M. S., (E.E.), Southwest University, P. R. China, 2003.

B. S., (E.E.), Southwest University, P. R. China, 1996.

Academic Experience

Professor, 2010-present, Southwest University, Chongqing, P. R. China

Associate Professor, 2005-2010, Southwest University, Chongqing, P. R. China

Visiting Scholar, 1/2016-2/2016, City University of Hong Kong, Hong Kong, P. R. China

Visiting Professor, 7/2014-8/2014, Texas A&M University at Qatar, Qatar

Visiting Professor, 7/2013-8/2013, University of Windsor, Windsor, Canada

Distinguish Visiting Professor, 7/2010-7/2011, Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, USA

Research Interests

Artificial Neural Networks

Neuromorphic Computing System

Memristor, Memristive System and Applications

Chaos, Chaotic Neural Networks, Nonlinear Circuits and system

Publications

Part I – Referred Journal Papers (selected)

[1] Y. Zhou, X. Hu, L. Wang, G. Zhou, and S. Duan, "QuantBayes: Weight Optimization for Memristive Neural Networks via Quantization-Aware Bayesian Inference," IEEE Transactions On Circuits and Systems I-Regular Papers, 68, pp. 4851-4861, (2021).

[2] J. Li, G. Zhou, Y. Li, J. Chen, Y. Ge, Y. Mo, Y. Yang, X. Qian, W. Jiang, H. Liu, M. Guo, L. Wang, and S. Duan, "Reduction 93.7% Time and Power Consumption Using a Memristor-Based Imprecise Gradient Update Algorithm," Artificial Intelligence Review, 55, pp. 657-677, (2022).

[3] Y. Zhou, X. Hu, L. Wang, and S. Duan, "Bayesian Neural Network Enhancing Reliability Against Conductance Drift for Memristor Neural Networks," Science China-Information Sciences, 64, (2021).

[4] L. Luo, Z. Dong, X. Hu, L. Wang, and S. Duan, "Reconfigurable Logic Circuit Design for Stateful Boolean Logic Computing," Science China-Information Sciences, 64, (2021).

[5] L. Luo, Z. Dong, X. Hu, L. Wang, and S. Duan, "MTL: Memristor Ternary Logic Design," International Journal of Bifurcation and Chaos, 30, (2020).

[6] L. Luo, Z. Dong, S. Duan, and C. S. Lai, "Memristor-Based Stateful Logic Gates for Multi-Functional Logic Circuit," IET Circuits Devices & Systems, 14, pp. 811-818, (2020).

[7] H. Tang, J. Wang, L. Wang, X. Hu, Y. Zhou, and S. Duan, "Impulsive Control for Passivity and Exponential Synchronization of Coupled Neural Networks with Multiple Weights," Journal of the Franklin Institute-Engineering and Applied Mathematics, 356, pp. 5434-5463, (2019).

[8] L. Xiao, S. Duan and L. Wang, "Julia Fractal Based Multi-Scroll Memristive Chaotic System," Acta Physica Sinica, 67, (2018).

[9] S. Wang, L. Dang, B. Chen, C. Ling, L. Wang, and S. Duan, "Kernel Online Learning Algorithm with Scale Adaptation," IEEE Transactions On Circuits and Systems II-Express Briefs, 65, pp. 1788-1792, (2018).

[10] S. Wang, L. Dang, B. Chen, S. Duan, L. Wang, and C. K. Tse, "Random Fourier Filters Under Maximum Correntropy Criterion," IEEE Transactions On Circuits and Systems I-Regular Papers, 65, pp. 3390-3403, (2018).

[11] J. Chen, S. Duan, Z. Dong, and L. Wang, "Spintronic Memristor Synapse and Its RWC Learning Algorithm," IET Circuits Devices & Systems, 12, pp. 579-588, (2018).

[12] F. Chen, T. Shi, S. Duan, L. Wang, and J. Wu, "Diffusion Least Logarithmic Absolute Difference Algorithm for Distributed Estimation," Signal Processing, 142, pp. 423-430, (2018).

[13] L. Luo, X. Hu, S. Duan, Z. Dong, and L. Wang, "Multiple Memristor Series-Parallel Connections with Use in Synaptic Circuit Design," IET Circuits Devices & Systems, 11, pp. 123-134, (2017).

[14] H. Wang, S. Duan, T. Huang, L. Wang, and C. Li, "Exponential Stability of Complex-Valued Memristive Recurrent Neural Networks," IEEE Transactions On Neural Networks and Learning Systems, 28, pp. 766-771, (2017).

[15] S. Duan, H. Wang, L. Wang, T. Huang, and C. Li, "Impulsive Effects and Stability Analysis on Memristive Neural Networks with Variable Delays," IEEE Transactions on Neural Networks and Learning Systems, 28, pp. 476-481, (2017).

[16] H. Wang, S. Duan, C. Li, L. Wang, and T. Huang, "Globally Exponential Stability of Delayed Impulsive Functional Differential Systems with Impulse Time Windows," Nonlinear Dynamics, 84, pp. 1655-1665, (2016).

[17] H. Wang, S. Duan, C. Li, L. Wang, and T. Huang, "Stability of Impulsive Delayed Linear Differential Systems with Delayed Impulses," Journal of the Franklin Institute-Engineering and Applied Mathematics, 352, pp. 3044-3068, (2015).

[18] F. Meng, S. Duan, L. Wang, X. Hu, and Z. Dong, "An Improved WOx Memristor Model with Synapse Characteristic Analysis," Acta Physica Sinica, 64, (2015).

[19] S. Duan, X. Hu, Z. Dong, L. Wang, and P. Mazumder, "Memristor-Based Cellular Nonlinear/Neural Network: Design, Analysis, and Applications," IEEE Transactions on Neural Networks and Learning Systems, 26, pp. 1202-1213, (2015).

[20] Y. Guo, S. Duan and L. Wang, "Influence of Length Parameter on the Characteristics of Nanoscale Titanium Oxide Memristor," Acta Physica Sinica, 64, (2015).

[21] Z. Dong, S. Duan, X. Hu, and L. Wang, "Two Types of Nanoscale Nonlinear Memristor Models and Their Series-Parallel Circuits," Acta Physica Sinica, 63, (2014).

[22] S. Duan, X. Hu, L. Wang, and C. Li, "Analog Memristive Memory with Applications in Audio Signal Processing," Science China-Information Sciences, 57, (2014).

[23] S. Duan, X. Hu, L. Wang, and S. Gao, "Resonant Tunneling Diodes-Based Cellular Nonlinear Networks with Fault Tolerance Analysis," Mathematical Problems in Engineering, 2013, (2013).

[24] S. Duan, X. Hu, L. Wang, C. Li, and P. Mazumder, "Memristor-Based RRAM with Applications," Science China-Information Sciences, 55, pp. 1446-1460, (2012).

[25] X. Hu, S. Duan, L. Wang, and X. Liao, "Memristive Crossbar Array with Applications in Image Processing," Science China-Information Sciences, 55, pp. 461-472, (2012).

[26] S. Duan and X. Liao, "An Electronic Implementation for Liao's Chaotic Delayed Neuron Model with Non-Monotonous Activation Function," Physics Letters A, 369, pp. 37-43, (2007).

Part II - Conference Papers

Over 70 Conference papers including Asia Communications and Photonics Conference(ACPC), International Conference on Neuromorphic Computing(ICNC), Chinese Control Conference(CCC), International Symposium on Neural Networks(ISNN), IEEE Computer Society Annual Symposium on VLSI (ISVLSI), etc.