数学科学学院
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| 导师代码： |
11909
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| 导师姓名： |
于佳丽
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| 性 别： |
女 |
| 特 称： |
无
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| 职 称： |
教授
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| 学 位： |
工学博士学位
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| 属 性： |
专职 |
| 电子邮件： |
yujiali@uestc.edu.cn
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| 学术经历：
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博士毕业于电子科技大学计算机科学与工程学院，获工学博士学位。
2008年，中国科学院 神经科学研究所，访问学者。
2010年至2013年，新加坡科技研究局 资讯通信研究院，Research Scientist I.
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| 个人简介：
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教授，博士生导师。
主要从事人工智能和深度学习研究，包括用深度学习进行图像处理及序列预测，神经网络的吸引子记忆机制等。发表学术论文70余篇，授权数项发明专利。担任SCI期刊International Journal of Fuzzy Systems副主编（Associate Editor），Nature出版集团旗下期刊Scientific Reports(《科学报告》)编委会委员(Editorial Board Members)，美国《数学评论》（Mathematical Reviews, 简称MR）评论员，IEEE高级会员。担任四川省人工智能学会常务理事，四川省学术和技术带头人后备人选，四川省计算机学会大数据专委会委员，担任数个国际会议的程序委员会委员。受邀为IEEE Transactions on Neural Networks and Learning Systems 等国际一流学术期刊审稿。电子科技大学先进女职工。优秀硕士学位论文指导教师，指导的一名硕士研究生获四川省优秀毕业生且学术论文被评为校优秀硕士论文。指导学生大创项目，获“建行杯”第九届四川省国际创新大赛（2023）金奖等。
主讲课程《线性代数与空间解析几何》、《Linear Algebra and Space Analytic Geometry》（英文)，《神经网络导论》等。
作为第二主讲人入选国家精品视频公开课《线性代数与信息科技》、爱课程首批国际平台课程《Linear Algebra》。
2017年获电子科技大学五粮液奖教金。
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| 科研项目：
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主持国家自然科学基金面上项目，青年基金项目，四川省科技项目；作为骨干参与科技部科技创新2030-“新一代人工智能”重大项目，国家高技术研究发展计划（863计划），国家自然科学基金等多项课题。
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| 研究成果：
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[1] Jie Sun, Jiali Yu*, Yuying Yang, Chunxiao Wang, Yong Liao, Zhang Yi and Qing Gao, Improved adaptive optimization algorithm for training Physics-Informed Neural Networks，Applied Soft Computing Journal，2026， 1-11.
[2] Xueyang Min, Jiali Yu, Zihan Fang, Weihong Lin, Shiping Wang, Beyond Local Aggregation: Global Graph Contrastive Learning for Multi-view Fusion, Neural Networks，2026，198：108714.
[3] Jialu Zuo, Shaoxin Tian, Wang Liao, Jiali Yu*, Zhang Yi, Conditional Multi-attractivity Analysis of Recurrent Neural Networks based on Matrix Decomposition, Communications in Nonlinear Science and Numerical Simulation, 2026, 152: 109234.
[4] Qing Yang, Xiaobing Hu, Jiali Yu*, Qixun Sun, Lan Shu, Zhang Yi, Yong Liao, var-nmODE: model with L2-stability based on nmODE for defending against adversarial attacks, Neurocomputing, 2025, 648: 130605.
[5] J. Huo, Jiali Yu*, M. Wang, Z. Yi, J. Leng, and Y. Liao, Coexistence of Cyclic Sequential Pattern Recognition and Associative Memory in Neural Networks by Attractor Mechanisms, IEEE Transactions on Neural Networks and Learning Systems, 2025, 36(3): 4959-4970.
[6] J. Wang, G. Zheng*, Jiali Yu*, J. Shao and Y. Zhou, Sea Surface Temperature Prediction Method Based on Deep Generative Adversarial Network, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024, 17: 14704-14711.
[7] Ruonan Wu, Ziqian Zong, Jiali Yu*, Shizhi Zhang and Zhang Yi, Attractors Coexistence and Representation Research of Lotka-Volterra Recurrent Neural Networks by Matrix Analysis Theory, Neurocomputing, 2024, 598: 128040.
[8] X. Yao, G. Zheng, Jiali Yu *, J. Shao, J. Zuo, Robust prediction of sea surface temperature based on SSPGAN, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023, 16: 9823-9832.
[9] Jiali Yu*, Wenshuang Chen, Jinsong Leng, Chunxiao Wang，Zhang Yi，Weight Matrix as a Switch Between Line Attractor and Plane Attractor of Ring Neural Networks, Neurocomputing, 2023, 521:181-188.
[10] Huang, Yue ; Yu, Jiali ; Leng, Jinsong ; Liu, Bisen ; Yi, Zhang， Continuous Recurrent Neural Networks Based on Function Satlins: Coexistence of Multiple Continuous Attractors， Neural processing letters, 2022-04, 2022, 54
[11] Y. Huang, Jiali Yu,*, Continuous Recurrent Neural Networks Based on Function Satlins - Coexistence of Multiple Continuous Attractors, Neural Processing Letters, 2022, 1, 10, https://doi.org/10.1007/s11063-021-10682-9
[12] W. Xiang, Jiali Yu, *，Coexistence of Continuous Attractors with Different Dimensions for Neural Networks, Neurocomputing, 2021, 429 : 25-32.
[13] W. Chen, Jiali Yu, *, The Effect of Coefficients on the Continuous Attractors in Coupled Highway Neural Networks，Neurocomputing, 2021, 419: 1-8.
[14] Jiali Yu, *, Coexistence of multiple continuous attractors for lower-ordered neural network, International Journal of Computer Mathematics, 2020, 97(12), 2462-2473.
[15] Jiali Yu, Z. Yi and J. Leng, Line Attractors of Coupled Ring Neural Networks with Block Circulant Weight Matrix，International Journal of Computer Mathematics，2020, 97（3）, 687-699.
[16] Jiali Yu, *, Parameter as a Switch Between Dynamical States of a Network in Population Decoding, IEEE Transactions on Neural Networks and Learning Systems, 2017, 28(4): 911-916.
[17] Jiali Yu, H. Tang and H. Li, Dynamics Analysis of a Population Decoding Model. IEEE Transactions on Neural Networks and Learning Systems, 2013, 24(3): 498-503.
[18] Jiali Yu, Z. Yi and J. Zhou, Continuous Attractors of Lotka-Volterra Recurrent Neural Networks with Infinite Neurons, IEEE Transactions on Neural Networks, 2010, 21(10): 1690-1695.
[19] Jiali Yu, Z. Yi and L. Zhang, Representations of Continuous Attractors of Recurrent Neural Networks, IEEE Transactions on Neural Networks, 2009, 20(2): 368-372.
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| 专业研究方向：
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| 专业名称 |
研究领域/方向 |
招生类别 |
| 070100数学 |
04图像与人工智能建模计算和数值代数及应用，05复杂系统与优化控制，06机器学习的理论与算法 |
硕士学术学位 |
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