Huaizhong Li
Huaizhong Li
Professor, Department of Computing, Lishui University
Verified email at
Cited by
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Evolving support vector machines using fruit fly optimization for medical data classification
L Shen, H Chen, Z Yu, W Kang, B Zhang, H Li, B Yang, D Liu
Knowledge-Based Systems 96, 61-75, 2016
A linear matrix inequality approach to robust H∞ filtering
H Li, M Fu
IEEE Transactions on Signal Processing 45 (9), 2338-2350, 1997
Developing a new intelligent system for the diagnosis of tuberculous pleural effusion
C Li, L Hou, BY Sharma, H Li, CS Chen, Y Li, X Zhao, H Huang, Z Cai, ...
Computer methods and programs in biomedicine 153, 211-225, 2018
Grey wolf optimization evolving kernel extreme learning machine: application to bankruptcy prediction
M Wang, H Chen, H Li, Z Cai, X Zhao, C Tong, J Li, X Xu
Engineering Applications of Artificial Intelligence 63, 54–68, 2017
Passivity analysis and passification for uncertain signal processing systems
L Xie, M Fu, H Li
IEEE Transactions on Signal Processing 46 (9), 2394-2403, 1998
Towards an optimal support vector machine classifier using a parallel particle swarm optimization strategy
H ling Chen, B Yang, S jing Wang, G Wang, H zhong Li, W bin Liu
Applied Mathematics and Computation 239, 180-197, 2014
Software test data generation using ant colony optimization
H Li, CP Lam
International Journal of Computer and Information Engineering 1 (1), 137-140, 2007
Robust stability and stabilization of time-delay systems via integral quadratic constraint approach
M Fu, H Li, SI Niculescu
Stability and control of time-delay systems, 101-116, 2005
An ant colony optimization approach to test sequence generation for state based software testing
H Li, CP Lam
Fifth International Conference on Quality Software (QSIC'05), 255-262, 2005
An environment monitoring system for precise agriculture based on wireless sensor networks
J Xia, Z Tang, X Shi, L Fan, H Li
Mobile Ad-hoc and Sensor Networks (MSN), 2011 Seventh International …, 2011
Towards automated test sequence generation
U Farooq, CP Lam, H Li
19th Australian Conference on Software Engineering (aswec 2008), 441-450, 2008
A new machine-learning method to prognosticate paraquat poisoned patients by combining coagulation, liver, and kidney indices
L Hu, H Li, Z Cai, F Lin, G Hong, H Chen, Z Lu
PloS one 12 (10), e0186427, 2017
Using adaptive agents to automatically generate test scenarios from the UML activity diagrams
D Xu, H Li, CP Lam
Software Engineering Conference, 2005. APSEC'05. 12th Asia-Pacific, 8 pp., 2005
Using anti-ant-like agents to generate test threads from the UML diagrams
H Li, CP Lam
IFIP International Conference on Testing of Communicating Systems, 69-80, 2005
An Effective Machine Learning Approach for Prognosis of Paraquat Poisoning Patients Using Blood Routine Indexes
H Chen, L Hu, H Li, G Hong, T Zhang, J Ma, Z Lu
Basic Clin Pharmacol Toxicol 120 (1), 86–96, 2017
Delay-dependent closed-loop stability of linear systems with input delay: An LMI approach
SJ Niculescu, M Fu, H Li
Proceedings of the 36th IEEE Conference on Decision and Control 2, 1623-1628, 1997
Robust ℋ∞ control of uncertain linear time-delay systems: a linear matrix inequality approach. I
H Li, SI Niculescu, L Dugard, JM Dion
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on 2 …, 1996
An approach to generate the thin-threads from the UML diagrams
X Bai, CP Lam, H Li
Proceedings of the 28th Annual International Computer Software and …, 2004
AD2US: an automated approach to generating usage scenarios from UML Activity diagrams
R Chandler, CP Lam, H Li
12th Asia-Pacific Software Engineering Conference (APSEC'05), 8 pp., 2005
Decentralized control design for nonlinear multi-unit plants: a gap metric approach
PL Lee, H Li, IT Cameron
Chemical engineering science 55 (18), 3743-3758, 2000
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