I am a visiting student in Biologically Inspired Neural and Dynamical Systems (Binds) Lab co-advised by Prof. Hava Siegelmann at University of massachesetts Amherst (UMass) and Prof. Zhifeng Hao at South China University of Technology in China(SCUT).
Currently, I am a student of Computer Science Department in South China University of Technology in China. I joined the Binds Lab in 2007.
Current Project
I am now working with Professor Hava on an interesting project of memory reconsolidation.
We are building a memory system which can reconsolidate info like human, after a memory recall or an input of repeated information. An adaptive inference engine is built so that our system can learn, remember knowledge of common sense and integrate the information to make reasonable conclusion accrodingly.
Additionally, natural language is used as input and output of our system so that it is more easy for our system to give feedback during a conversation with people.
Research Interests
My interest in computer science is mainly focuses on algorithms, machine learning, bio-inspired computing system and bioinformatics
Previous work includes:
- Analysis of searching strategies in solution space for Swarm intelligence and Ant Colony Optimization (ACO) Algorithm
- Encoding methods for Multiple Sequence Alignment problem in bioinformatics
Academic Background
I pursued my undergraduate study in the Applied Mathematic Department in South China University of Technology and got my bachelor degree in 2003.
After that I continued my postgraduate study in the Computer Science Department at the same university.
Publications
Kun Tu, Zhifenghao and Chen Ming. PSO with improved strategy for Job-shop problem. Lecture Notes of Computer Science, Advances in Natural Computation. 4222/2006 :145-156
Zhifeng Hao, Han Huang, Xili Zhang and Kun Tu. A Time Complexity Analysis of ACO for Linear Functions, Lecture Notes in Computer Science, Simulated Evolution and Learning. 4247/2006:
Zhifeng hao, Kun Tu and Xiaowei Yang. Solving Multiple Sequence Alignment with position-based Genetic Algorithm. Dynamic of Continuous, Discrete and inpulsive System