People

Dr Jichun Li

Lecturer
School of Computer Science and Electronic Engineering (CSEE)
Dr Jichun Li

Research and professional activities

Conferences and presentations

Session Chair

Invited presentation, The 3rd IEEE/IFToMM International Conference on Reconfigurable Mechanisms and Robots, Beijing, China, 20/7/2015

Publications

Journal articles (13)

Xiao, L., Dai, J., Lu, R., Li, S., Li, J. and Wang, S., (2020). Design and Comprehensive Analysis of a Noise-Tolerant ZNN Model With Limited-Time Convergence for Time-Dependent Nonlinear Minimization. IEEE Transactions on Neural Networks and Learning Systems, 1-10

Xiao, L., Zhang, Y., Zuo, Q., Dai, J., Li, J. and Tang, W., (2020). A Noise-Tolerant Zeroing Neural Network for Time-Dependent Complex Matrix Inversion Under Various Kinds of Noises. IEEE Transactions on Industrial Informatics. 16 (6), 3757-3766

Zeng, Y., Xiao, L., Li, K., Li, J., Li, K. and Jian, Z., (2020). Design and analysis of three nonlinearly activated ZNN models for solving time-varying linear matrix inequalities in finite time. Neurocomputing. 390, 78-87

Zhang, X., Cao, Y., Peng, L., Li, J., Ahmad, N. and Yu, S., (2020). Mobile Charging as a Service: A Reservation-Based Approach. IEEE Transactions on Automation Science and Engineering, 1-13

Xiao, L., Zhang, Y., Dai, J., Li, J. and Li, W., (2019). New Noise-Tolerant ZNN Models With Predefined-Time Convergence for Time-Variant Sylvester Equation Solving. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 1-12

Xiong, Y., Shapaval, V., Kohler, A., Li, J. and From, PJ., (2019). A Fully Automated Robot for the Preparation of Fungal Samples for FTIR Spectroscopy Using Deep Learning. IEEE Access. 7, 132763-132774

Yao, Y., Sun, Y., Phillips, C., Cao, Y. and Li, J., (2019). Exploiting Delay Budget Flexibility for Efficient Group Delivery in the Internet of Things. IEEE Internet of Things Journal. 6 (4), 6593-6605

Xiao, L., Zhang, Y., Dai, J., Chen, K., Yang, S., Li, W., Liao, B., Ding, L. and Li, J., (2019). A new noise-tolerant and predefined-time ZNN model for time-dependent matrix inversion. Neural Networks. 117, 124-134

Jin, J., Xiao, L., Lu, M. and Li, J., (2019). Design and Analysis of Two FTRNN Models With Application to Time-Varying Sylvester Equation. IEEE Access. 7, 58945-58950

Ding, L., Xiao, L., Zhou, K., Lan, Y., Zhang, Y. and Li, J., (2019). An Improved Complex-Valued Recurrent Neural Network Model for Time-Varying Complex-Valued Sylvester Equation. IEEE Access. 7, 19291-19302

Li, J., Liu, H., Brown, M., Kumar, P., Challacombe, BJ., Chandra, A., Rottenberg, G., Seneviratne, LD., Althoefer, K. and Dasgupta, P., (2017). Ex vivo study of prostate cancer localization using rolling mechanical imaging towards minimally invasive surgery. Medical Engineering & Physics. 43, 112-117

Liu, H., Li, J., Song, X., Seneviratne, LD. and Althoefer, K., (2011). Rolling Indentation Probe for Tissue Abnormality Identification During Minimally Invasive Surgery. IEEE Transactions on Robotics. 27 (3), 450-460

Zbyszewski, D., Challacombe, B., Li, J., Seneviratne, L., Althoefer, K., Dasgupta, P. and Murphy, D., (2010). A Comparative Study Between an Improved Novel Air-Cushion Sensor and a Wheeled Probe for Minimally Invasive Surgery. Journal of Endourology. 24 (7), 1155-1159

Book chapters (1)

Li, J., Shapaval, V., Kohler, A., Talintyre, R., Schmitt, J., Stone, R., Gallant, AJ. and Zeze, DA., (2016). A Modular Liquid Sample Handling Robot for High-Throughput Fourier Transform Infrared Spectroscopy. In: Advances in Reconfigurable Mechanisms and Robots II. Springer International Publishing. 769- 778. 9783319233260

Conferences (6)

Li, J., Zirjakova, J., Yao, W., Althoefer, K., Dasgupta, P. and Seneviratne, LD., (2012). A Passive Robotic Platform for Three-Dimensional Scanning of Ex Vivo Soft Tissue

Li, J., Liu, H., Althoefer, K. and Seneviratne, LD., (2012). A stiffness probe for soft tissue abnormality identification during laparoscopic surgery

Jichun Li, Hongbin Liu, Althoefer, K. and Seneviratne, LD., (2012). A stiffness probe based on force and vision sensing for soft tissue diagnosis

Li, M., Liu, H., Li, J., Seneviratne, LD. and Althoefer, K., (2012). Tissue stiffness simulation and abnormality localization using pseudo-haptic feedback

Hongbin Liu, Jichun Li, Qi-ian Poon, Seneviratne, LD. and Althoefer, K., (2010). Miniaturized force-indentation depth sensor for tissue abnormality identification during laparoscopic surgery

Li, J., Wang, D., Li, J., Rao, J., Li, B., Wu, L., Zhang, M., Liu, Y. and Guo, H., (2005). A novel parallel laser driver circuit with adaptive bandwidth

Contact

jl20340@essex.ac.uk

Location:

Colchester Campus