導(dǎo)師信息

(1) 2013.01-2015.12，國(guó)家自然科學(xué)基金青年科學(xué)基金項(xiàng)目，負(fù)責(zé)人，項(xiàng)目名稱(chēng)：背景神經(jīng)網(wǎng)絡(luò)的多穩(wěn)定性研究；

(2) 2022.01-2023.12，四川省自然科學(xué)基金面上項(xiàng)目，負(fù)責(zé)人，項(xiàng)目名稱(chēng)：非線(xiàn)性耦合神經(jīng)網(wǎng)絡(luò)的平衡點(diǎn)，周期軌和極限環(huán)連續(xù)吸引子研究；

(3) 2016.03-2018.03，四川省應(yīng)用基礎(chǔ)研究計(jì)劃項(xiàng)目，負(fù)責(zé)人，項(xiàng)目名稱(chēng)：一類(lèi)非線(xiàn)性神經(jīng)網(wǎng)絡(luò)的穩(wěn)定性分析；

(4) 2020.01-2023.01，西南石油大學(xué)青年創(chuàng)新團(tuán)隊(duì)項(xiàng)目，負(fù)責(zé)人，項(xiàng)目名稱(chēng)：人工智能網(wǎng)絡(luò)；

(5) 2016.01-2018.12，國(guó)家自然科學(xué)基金青年科學(xué)基金項(xiàng)目；項(xiàng)目名稱(chēng)：三維系統(tǒng)的中心問(wèn)題、等時(shí)中心及臨界周期分岔，參與；

(6) 2018.01-2020.12，國(guó)家自然科學(xué)基金青年基金，項(xiàng)目名稱(chēng)：基于憶阻隨機(jī)時(shí)滯神經(jīng)網(wǎng)絡(luò)的穩(wěn)定性與同步研究，參與。

(1) Fang Xu, Lingling Liu, Jacek M. Zurada, Zhang Yi, Analysis of equilibria for a class of recurrent neural networks with two subnetworks, IEEE Transactions on Cybernetics, 52(6):4701-4716 (2022);

(2) Jianying Xiao, Yongtao Li, Shouming Zhong, Fang Xu, Extended dissipative state estimation for memristive neural networks with time-varying delay, ISA Transactions, 64: 113-128 (2016);

(3) Jianying Xiao, Shouming Zhong, Yongtao Li, Fang Xu, Finite-time Mittag-Leffler synchronization of fractional-order memristive BAM neural networks with time delays, Neurocomputing, 219: 431-439 (2016);

(4) Jianying Xiao, Shouming Zhong, Yongtao Li, Fang Xu, Relaxed exponential passivity criteria for memristor-based neural networks with leakage and time-varying delays, International Journal of Machine Learning and Cybernetics, 2016:1-12 (2016);

(5) Junkang Tian, Wenjun Xiong, Fang Xu, Improved delay-partitioning method to stability analysis for neural networks with discrete and distributed time-varying delays, Applied Mathematics and Computation, 233: 152-164 (2014);

(6) Fang Xu, Zhang Yi, Convergence analysis of a class of simplified background neural networks with two subnetworks, Neurocomputing, 74(18): 3877-3883 (2011);

(7) Fang Xu, Zhang Yi, Continuous attractors of a class of neural networks with a large number of neurons, Computers and Mathematics with Applications, 62(10): 3785-3795 (2011);

(8) Fang Xu, Zhang Yi, Analysis of a class of recurrent neural networks with arbitrary exponents, Journal of Biological Systems 18 (Special Issue): 65-79 (2010);

(9) Fang Xu, Dynamic stability analysis of a class of recurrent neural networks with uniform firing rate, The 2nd International Conference on Information Science and Engineering (ICISE 2010), Hangzhou, China, pp.1133-1136, December 4-6 (2010);

(10) Fang Xu, Zhang Yi, Traveling waves of a class of simplified background neural networks, International Conference on Biomedical Engineering and Computer Science (ICBECS 2010), Wuhan, China, pp. 32-35, 23-25 April  (2010);

(11) Fang Xu, Lei Zhang, Hong Qu, Convergence analysis of background neural networks with two subnetworks, 2008 IEEE Conference on Cybernetics and Intelligent Systems (CIS 2008), Chengdu, China, pp. 440-444, September 21-24 (2008);

(1) 2016年，項(xiàng)目名稱(chēng)：油氣田開(kāi)發(fā)過(guò)程的技術(shù)集成管理研究及應(yīng)用, 教育部, 國(guó)家科學(xué)技術(shù)進(jìn)步獎(jiǎng), 一等獎(jiǎng),參與；

(2) 2017年，校級(jí)教學(xué)成果獎(jiǎng)三等獎(jiǎng)，參與；

(3) 2023年，項(xiàng)目名稱(chēng)：油氣田人工智能的關(guān)鍵數(shù)學(xué)理論及其應(yīng)用，中國(guó)石油和化工自動(dòng)化應(yīng)用協(xié)會(huì)，一等獎(jiǎng)，參與。

(1) 2018年，四川省學(xué)術(shù)和技術(shù)帶頭人后備人選；

(1) 線(xiàn)性代數(shù)

(2) 常微分方程

(3) 神經(jīng)網(wǎng)絡(luò)與深度學(xué)習(xí)

(4) 智能計(jì)算

(5) 深度學(xué)習(xí)

(6) 人工智能基礎(chǔ)II

(7) 概率統(tǒng)計(jì)

(8) 人工智能導(dǎo)論

(1) 四川省人工智能學(xué)會(huì)理事會(huì)理事；

(2) 指導(dǎo)的研究生獲得國(guó)家獎(jiǎng)學(xué)金，獲得四川省優(yōu)秀大學(xué)畢業(yè)生，獲得西南石油大學(xué)優(yōu)秀大學(xué)畢業(yè)生。