王亦倫

王亦倫，男，電子科技大學副教授。研究方向為稀疏最佳化和機器學習算法。

基本介紹

• 中文名：王亦倫
• 畢業院校：美國萊斯大學、復旦大學、大連理工大學
• 學位/學歷：博士
• 工作單位：電子科技大學
• 職稱：副教授
• 性別：男

教育背景

(1)1998年9月-2002年7月, 大連理工大學套用數學系， 學士；

(2)2002年9月-2005年6月, 復旦大學數學學院， 碩士；

(3)2005年8月-2009年7月, 美國萊斯大學， 博士；

研究項目

(1) 國家重點基礎研究計畫（973計畫）-非結構數據的統計學習：數學基礎及算法. 2015年至2019年 (2) 國家重大研究計畫重點項目: 超大規模積體電路仿真驗證中的模型降階及稀疏表示， 2014-2017 (3) 國家自然科學基金重點項目: 抑鬱症視聽通道情緒加工腦機制的多模態腦網路計算模型. 2016-2020 (4) 國家自然科學基金項目: 基於疊代支撐集檢測的稀疏信號重構算法的研究和拓展. 2013-2015年. (1)National Program on Key Basic Research Project of China (973 Program): Statistical learning of unstructured data: mathematical foundations and algorithms. 2015—2019 (2)Project supported by the Major Research plan of the National Natural Science Foundation of China: Model Order Reduction, Sparse Representation in Simulation and Verification of VLSI. 2014-2017. (3)Project supported by the State Key Program of National Natural Science of China: Multi-modal brain network computing model of neural mechanisms of emotional processing in auditory and visual channel in depression. 2016-2020 (4)National Natural Science Foundation of China (NSFC): The study and extension of a kind of sparse signal reconstruction algorithm based on iterative support detection. 2012-2015.

獲獎情況

（Awards）

1.四川省學術和技術帶頭人後備人選 2.2015年電子科技大學Tenth installment of Sichuan Province academic and technical leader candidates 1.Sichuan Province academic and technical leader candidate 2.UESTC Academic New Star Scholar Award of 2015

講授課程

（Courses）

1. 最最佳化理論和方法 3. 模式識別中的前沿算法研究

論文及專著

發表

1. Y. Wang, J. Yang, W. Yin and Y. Zhang. A New Alternating Minimization Algorithm for Total Variation Image Reconstruction. SIAM Journal on Imaging Sciences, Vol. 1, No. 3, pp. 248-272, 2008. (ESI Highly Cited Paper) The Most Read Articles of this top-ranked journal; Over 1000 citations. 2. Y. Wang and W. Yin. Sparse Signal Reconstruction via Iterative Support Detection, SIAM Journal on Imaging Sciences, Vol. 3, No. 3, pp. 462-491, 2010. Over 130 Citations. 3. L. He and Y. Wang*. Iterative Support Detection Based Split Bregman Method for Wavelet Frame Based Image Inpainting, IEEE Transaction on Imaging Processing, 23(12), 5470-5485, 2014. 4. Y. Wang, J. Zheng, X. Duan, and H. Chen, Randomized Structural Sparsity via Constrained Block Subsampling for Improvement of Sensitivity of Discriminative Voxel Identification, Neuroimage, 117: 170-183, 2015. 5. Y. Wang, J. Zheng, X. Duan, and H. Chen, Randomized Structural Sparsity based Feature Selection with Applications to Brain Mapping of Autism Spectrum Disorder: A Multimodal and Multi-center Reproducibility Study, IEEE Transactions on Autonomous Mental Development, 7(4), 2015. Among most popular articles of this journal. 6. Y. Fan and Y. Wang* and T. Huang. Multi-Stage Multi-Task Feature Learning via Adaptive Threshold, the 23rd International Conference on Pattern Recognition (ICPR), Cancun, Mexico, December 2016.