李永傑

電子科技大學教授

男,1971年生於河北臨城,博士,教授,2007年入選教育部優秀人才支持計劃。負責國家自然基金項目等在研項目2項,參與973課題及國家自然基金重點項目各1項。截止2008年10月,已發表學術論文30餘篇,其中SCI檢索論文10餘篇,並為國外學者多次引用。參編國外學術著作1部。獲省部級三等獎1次。

4在Dept of Neuroscience, Columbia University做訪問學者

簡介


Yongjie LI, PhD and Professor of Biomedical Engineering.

研究方向


(Research Interests)
(1)視覺機制與圖像分析(非經典感受野模型、選擇性注意模型、稀疏編碼,及在圖像處理中的應用)
李永傑[電子科技大學教授]
李永傑[電子科技大學教授]
Modelling of Visual Information Processing Mechanisms and its application to I mage Analysis.
(2)智能計算(GA / SA / ANN / ACO / PSO / DNA計算 ... )
Intelligent Computation (GA / SA / ANN / ACO / PSO / DNA...)
(3)醫學物理技術(IMRT / IGRT / ART技術 ... )
Optimization Algorithms in Medical Physics (IMRT / IGRT / ART)
教學課程
(1)"數字信號處理"(本科)
(2)"資料庫技術" (本科)
(3)"醫學成像原理" (研究生)

教育簡歷


1989.09~1993.07 成都理工大學 應用地球物理專業本科生1993.09~1996.07 成都理工大學 應用地球物理專業碩士生2000.02~2004.06 電子科技大學 生物醫學工程專業博士生
工作簡歷
1996.07~1998.12 中國石油天然氣集團公司物探局研究院2004.07~2005.08 電子科技大學生命科學與技術學院 講師2005.09~2008.07 電子科技大學生命科學與技術學院 副教授2008.08~至今 電子科技大學生命科學與技術學院 教授
2009.09~至今 在Dept of Neuroscience, Columbia University做訪問學者
學術任職
中國電子學會生物醫學電子學分會委員四川省醫學會放射物理工程技術專業學組委員中國電子學會高級會員

方向背景


人腦是已知最有效的生物智能系統,它具有感知、學習、聯想、記憶、推理等功能,它對信息與知識的處理、加工與利用能力遠遠超過現有的任何計算機和信息處理系統。要使計算機能夠像人一樣處理複雜的信息和數據,必須發展具有人類智能的信息分析技術。研究具有認知機理的智能信息處理理論與方法,探索大腦信息加工的認知過程和神經機制,探討和實現新的神經計算模型,建立物理可實現的計算模型必將為信息技術的發展注入新的活力。與此同時,信息獲取、處理與分析的最新研究成果的運用,已經並將進一步促進腦科學與認知科學的發展,從技術和方法學的層面為腦科學與認知科學研究提供不可或缺的手段。
視覺是人類獲取信息的最直接與最主要的手段,是智能人機交互的重要通道。圖像作為視覺信息的重要載體,其內容分析與理解是開發新一代智能機器人、自動目標跟蹤系統和實時人機交互界面等研究領域的核心技術之一。面對圖像處理的複雜性和工程應用的苛刻性,傳統的圖像處理技術面臨著巨大挑戰。探索生物視覺的感知與整合機理,建立視覺計算模型框架與推理引擎對解決圖像和視頻內容提取、精鍊與解析、多媒體信息檢索問題,以及基於視覺感測的環境感知與理解都具有重大實際應用價值。

科研項目


1、基於視覺神經信息處理機制的醫學影像分析理論及應用基礎研究,教育部新世紀優秀人才支持計劃(NCET-07-0151),2008-2010,負責人。
2、基於生物學目標函數的調強放射治療射野方向優化技術研究,國家自然科學基金青年項目(30500140),2006~2008,負責人。3、音樂的神經編碼與神經音樂技術研究,國家自然科學基金重點項目(60736029),2008~2011,主研。
4、非結構化信息處理的視覺認知機理與計算模型,國家重點基礎研究發展計劃(973計劃)課題(2007CB311001),2007~2010,主研

主要論文


截止2008年10月,已發表學術論文30餘篇,其中在國外重要刊物Phys. Med. Biol.和Med. Phys.等上發表SCI檢索論文15篇,EI檢索論文7篇。主要論文如下:
Yongjie Li, Dezhong Yao. Ant Colony System for the Beam Angle Optimization Problem in Radiotherapy Planning, Chapter in "Systems Engineering using Swarm Particle Optimisation", N. Nedjah, L. M. Mourelle (Eds.), Nova Science Publishers, NY, ISBN: 1-60021-119-4, 2006, p31-54 Yongjie Li, Jonathan Yao and Dezhong Yao, Genetic algorithm based deliverable segments optimization for static intensity-modulated radiotherapy. Physics in Medicine and Biology, 2003, Vol.48(20), p3353-3374 Yongjie Li, Jonathan Yao, Dezhong Yao. Automatic beam angles selection in IMRT planning using genetic algorithm. Physics in Medicine and Biology, 2004, 49(10), p1915-1932 Yongjie Li, Dezhong Yao, Jonathan Yao, Wufan Chen. A particle swarm optimization algorithm for beam angle selection in intensity-modulated radiotherapy planning. Phys. Med. Biol. 2005, 50 (15), p3491-3514 Yongjie Li, Dezhong Yao, Jonathan Yao. Optimization of Beam Angles in IMRT Using Ant Colony Optimization Algorithm. International Journal of Radiation Oncology, Biology, Physics, 2005, Vol.63, Supplement 1. pp.S492-S493 Yongjie Li, Jonathan Yao and Dezhong Yao, Direct optimization of segments for intensity-modulated radiotherapy. Medical Physics, 2002, 29(6), p1259-1260 Yongjie Li, Jonathan Yao and Dezhong Yao, Problem-dependent simulated annealing for inverse treatment planning. Medical Physics, 2002, 29(6), p1259 Yongjie Li, Dezhong Yao. Accelerating the Radiotherapy Planning with a Hybrid Method of Genetic Algorithm and Ant Colony System, 2006, LNCS-II, 4222, p340-349 Yongjie Li, Dezhong Yao. Expert knowledge guided genetic algorithm for beam angle optimization problem in intensity-modulated radiotherapy planning. 2006, Lecture Notes in Control and Information Science (LNCIS) 345, pp. p834- 839 Yongjie Li, Dezhong Yao, Optimizing the MLC apertures for conformal radiotherapy with a hybrid algorithm, Medical Physics. 2006, 33(6), p2126-2127 Yongjie Li, Dezhong Yao, Accelerating the Radiotherapy Planning with a Hybrid Method of Genetic Algorithm and Ant Colony System, ICNC'06-FSKD'06, LNCS-II, 4222, p340-349Yongjie Li, Dezhong Yao, Jiancheng Zheng, Jonathan Yao. A modified genetic algorithm for the beam angle optimization problem in intensity-modulated radiotherapy planning. Lecture Notes in Computer Science (LNCS), 3871, pp.97-106, 2006Yongjie Li, Jonathan Yao and Dezhong Yao, Genetic algorithm based automatic beam angles selection in IMRT, Medical Physics. 2003, Vol.30(6), p1373Yongjie Li, Jonathan Yao and Dezhong Yao, Aperture based optimization for static IMRT using genetic algorithm, Medical Physics. 2003, Vol.30(6), p1372Yongjie Li, Jonathan Yao and Dezhong Yao, Automatic beam angles selection for IMRT planning with orientation constraints (abstract), Medical Physics. 2004, Vol.31(6), p1865-1866Yongjie Li, Weifu Xie, Dezhong Yao. A Preliminary Study of Automatic Delineation of Eyes on CT Images using Ant Colony Optimization, Journal of Electronic Science and Technology of China, 2007, 5(1), p66-69Xinyu Du, Yongjie Li, Wufan Chen, Yi Zhang, Dezhong Yao, A Markov Random Field based Hybrid Algorithm with Simulated Annealing and Genetic Algorithm for Image Segmentation, ICNC'06-FSKD'06, LNCS, 4221, p706-715Xinyu Du, Yongjie Li, Dezhong Yao, An Adaptive Algorithm for Image Denoising Based on Fuzzy Gibbs Random Fields, ICCCAS’06, p467-471Lei Jie, Yongjie Li*, A DNA Genetic Algorithm for Beam Angle Selection in Radiotherapy Planning, Proceeding of IEEE International Conference on Cybernetics and Intelligent Systems(CIS), 2008, p1331-1336Li Long, Yongjie Li*, Contour Detection Based On the Property of Orientation Selective Inhibition of Nonclassical Receptive Field, Proceeding of IEEE International Conference on Cybernetics and Intelligent Systems(CIS), 2008, p1002-1006Pei Jiang, Yongjie Li*, A Hybrid Face Recognition Algorithm Based on WT, NMFs and SVM, Proceeding of IEEE International Conference on Cybernetics and Intelligent Systems(CIS) , 2008, p734-737XiaoYi Song, Yongjie Li*, Wufan Chen, A Textural Feature-Based Image Retrieval Algorithm, Proceeding of IEEE International Conference on Natural Computation (ICNC), 2008, Vol.4, p71-75Xinyu Du, Yongjie Li, Dezhong Yao, A Support Vector Machine Based Algorithm for Magnetic Resonance Image Segmentation, Proceeding of IEEE International Conference on Natural Computation (ICNC), 2008, Vol.3, p49-53