Yongjie LI, PhD and Professor of Biomedical Engineering.

(Research Interests)

（1）視覺機(jī)制與圖像分析（非經(jīng)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(yīng)用）

Modelling of Visual Information Processing Mechanisms and its application to Image Analysis.

（2）智能計(jì)算（GA / SA / ANN / ACO / PSO / DNA計(jì)算...）

Intelligent Computation (GA / SA / ANN / ACO / PSO / DNA...)

（3）醫(yī)學(xué)物理技術(shù)（IMRT / IGRT / ART技術(shù)...）

Optimization Algorithms in Medical Physics (IMRT / IGRT / ART)

教學(xué)課程

（1）"數(shù)字信號(hào)處理"(本科)

（2）"數(shù)據(jù)庫技術(shù)" (本科)

（3）"醫(yī)學(xué)成像原理" (研究生)

1989.09~1993.07成都理工大學(xué)應(yīng)用地球物理專業(yè)本科生1993.09~1996.07成都理工大學(xué)應(yīng)用地球物理專業(yè)碩士生2000.02~2004.06電子科技大學(xué)生物醫(yī)學(xué)工程專業(yè)博士生

工作簡(jiǎn)歷

1996.07~1998.12 中國石油天然氣集團(tuán)公司物探局研究院2004.07~2005.08電子科技大學(xué)生命科學(xué)與技術(shù)學(xué)院講師2005.09~2008.07 電子科技大學(xué)生命科學(xué)與技術(shù)學(xué)院 副教授2008.08~至今 電子科技大學(xué)生命科學(xué)與技術(shù)學(xué)院 教授

2009.09~至今 在Dept of Neuroscience, Columbia University做訪問學(xué)者

學(xué)術(shù)任職

中國電子學(xué)會(huì)生物醫(yī)學(xué)電子學(xué)分會(huì)委員四川省醫(yī)學(xué)會(huì)放射物理工程技術(shù)專業(yè)學(xué)組委員中國電子學(xué)會(huì)高級(jí)會(huì)員

人腦是已知最有效的生物智能系統(tǒng)，它具有感知、學(xué)習(xí)、聯(lián)想、記憶、推理等功能，它對(duì)信息與知識(shí)的處理、加工與利用能力遠(yuǎn)遠(yuǎn)超過現(xiàn)有的任何計(jì)算機(jī)和信息處理系統(tǒng)。要使計(jì)算機(jī)能夠像人一樣處理復(fù)雜的信息和數(shù)據(jù)，必須發(fā)展具有人類智能的信息分析技術(shù)。研究具有認(rèn)知機(jī)理的智能信息處理理論與方法，探索大腦信息加工的認(rèn)知過程和神經(jīng)機(jī)制，探討和實(shí)現(xiàn)新的神經(jīng)計(jì)算模型，建立物理可實(shí)現(xiàn)的計(jì)算模型必將為信息技術(shù)的發(fā)展注入新的活力。與此同時(shí)，信息獲取、處理與分析的最新研究成果的運(yùn)用，已經(jīng)并將進(jìn)一步促進(jìn)腦科學(xué)與認(rèn)知科學(xué)的發(fā)展，從技術(shù)和方法學(xué)的層面為腦科學(xué)與認(rèn)知科學(xué)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(jī)交互的重要通道。圖像作為視覺信息的重要載體，其內(nèi)容分析與理解是開發(fā)新一代智能機(jī)器人、自動(dòng)目標(biāo)跟蹤系統(tǒng)和實(shí)時(shí)人機(jī)交互界面等研究領(lǐng)域的核心技術(shù)之一。面對(duì)圖像處理的復(fù)雜性和工程應(yīng)用的苛刻性，傳統(tǒng)的圖像處理技術(shù)面臨著巨大挑戰(zhàn)。探索生物視覺的感知與整合機(jī)理，建立視覺計(jì)算模型框架與推理引擎對(duì)解決圖像和視頻內(nèi)容提取、精煉與解析、多媒體信息檢索問題，以及基于視覺傳感的環(huán)境感知與理解都具有重大實(shí)際應(yīng)用價(jià)值。

1、基于視覺神經(jīng)信息處理機(jī)制的醫(yī)學(xué)影像分析理論及應(yīng)用基礎(chǔ)研究，教育部新世紀(jì)優(yōu)秀人才支持計(jì)劃（NCET-07-0151），2008-2010，負(fù)責(zé)人。

2、基于生物學(xué)目標(biāo)函數(shù)的調(diào)強(qiáng)放射治療射野方向優(yōu)化技術(shù)研究，國家自然科學(xué)基金青年項(xiàng)目（30500140），2006~2008，負(fù)責(zé)人。3、音樂的神經(jīng)編碼與神經(jīng)音樂技術(shù)研究，國家自然科學(xué)基金重點(diǎn)項(xiàng)目（60736029），2008~2011，主研。

4、非結(jié)構(gòu)化信息處理的視覺認(rèn)知機(jī)理與計(jì)算模型，國家重點(diǎn)基礎(chǔ)研究發(fā)展計(jì)劃（973計(jì)劃）課題（2007CB311001），2007~2010，主研

截止2008年10月，已發(fā)表學(xué)術(shù)論文30余篇，其中在國外重要刊物Phys. Med. Biol.和Med. Phys.等上發(fā)表SCI檢索論文15篇，EI檢索論文7篇。主要論文如下：

[1] 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[2] 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 [3] 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[4] 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[5] 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[6] Yongjie Li, Jonathan Yao and Dezhong Yao, Direct optimization of segments for intensity-modulated radiotherapy. Medical Physics, 2002, 29(6), p1259-1260[7] Yongjie Li, Jonathan Yao and Dezhong Yao, Problem-dependent simulated annealing for inverse treatment planning. Medical Physics, 2002, 29(6), p1259[8] 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[9] 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 [10] Yongjie Li, Dezhong Yao, Optimizing the MLC apertures for conformal radiotherapy with a hybrid algorithm, Medical Physics. 2006, 33(6), p2126-2127 [11]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, p340-349[12]Yongjie 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, 2006[13]Yongjie Li, Jonathan Yao and Dezhong Yao, Genetic algorithm based automatic beam angles selection in IMRT, Medical Physics. 2003, Vol.30(6), p1373[14]Yongjie Li, Jonathan Yao and Dezhong Yao, Aperture based optimization for static IMRT using genetic algorithm, Medical Physics. 2003, Vol.30(6), p1372[15]Yongjie Li, Jonathan Yao and Dezhong Yao, Automatic beam angles selection for IMRT planning with orientation constraints (abstract), Medical Physics. 2004, Vol.31(6), p1865-1866[16]Yongjie 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), p66-69[17]Xinyu 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, p706-715[18]Xinyu Du, Yongjie Li, Dezhong Yao, An Adaptive Algorithm for Image Denoising Based on Fuzzy Gibbs Random Fields, ICCCASu201906, p467-471[19]Lei 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, p1331-1336[20]Li 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, p1002-1006[21]Pei 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, p734-737[22]XiaoYi Song, Yongjie Li*, Wufan Chen, A Textural Feature-Based Image Retrieval Algorithm, Proceeding of IEEE International Conference on Natural Computation (ICNC), 2008, Vol.4, p71-75[23]Xinyu 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