胡曉林(清華大學計算機科學與技術系副教授)

胡曉林，香港中文大學機械與自動化系博士，現任清華大學計算機科學與技術系副教授。

基本介紹

• 中文名：胡曉林
• 畢業院校：香港中文大學
• 職業：教師
• 職稱：副教授

人物經歷

2013.12 - 清華大學計算機科學與技術系　副教授

2009.09 - 2013.11 清華大學計算機科學與技術系　助理研究員

2007.09 - 2009.08 清華大學計算機科學與技術系　博士後

2004.08 - 2007.07 香港中文大學機械與自動化系　博士

2001.09 - 2004.06 武漢理工大學汽車工程學院　碩士

1997.09 - 2001.06 武漢理工大學汽車工程學院　學士

研究方向

深度學習、計算神經科學。致力於在深度學習和腦科學之間建立橋樑，研究腦啟發的深度學習模型，同時利用深度學習理解腦的計算機制。

研究課題

國家自然科學基金(面上課題)：基於稀疏編碼模型的深層學習神經網路(2013-2016)

國家自然科學基金（青年課題）：基於KKT條件的最佳化遞歸神經網路簇設計 (2009-2011);

中國博士後科學基金面上資助（一等）：一類變連線最佳化遞歸神經網路的理論與套用 (2008-2009)；

中國博士後科學基金特別資助：一類變連線最佳化遞歸神經網路及相關的高斯吸引子網路(2008-2009);

主要成就

獎勵與榮譽

2012: 教育部自然科學獎一等獎 (第3完成人)

2009: 清華大學優秀博士後

代表性論著

[1] X. Hu and J. Wang, “Solving the assignment problem using continuous-time and discrete-time improved dual networks,” IEEE Transactions on Neural Networks and Learning Systems, vol. 23, no. 5, pp. 821-827, 2012.

[2] X. Hu, P. Qi, B. Zhang, “Hierarchical K-means algorithm for modeling visual area V2 neurons,” Proc. 19th International Conference on Neural Information Processing (ICONIP), Doha, Qatar, Nov. 12-15, 2012. LNCS 7665, pp. 373–381, 2012. (Best paper award)

[3] X. Hu, C. Sun, and B. Zhang. Design of recurrent neural networks for solving constrained least absolute deviation problems. IEEE Transactions on Neural Networks (Regular Papers), vol. 21, no. 7, pp. 1073-1086, July 2010.

[4] X. Hu and B. Zhang. A Gaussian attractor network for memory and recognition with experience-dependent Learning. Neural Computation, vol. 22, no. 5, pp. 1333-1357, May 2010.

[5] X. Hu and B. Zhang. An alternative recurrent neural network for solving variational inequalities and related optimization problems. IEEE Transactions on Systems, Man and Cybernetics – Part B, vol. 39, no. 6, pp. 1640-1645, Dec. 2009.

[6] X. Hu and B. Zhang. A new recurrent neural network for solving convex quadratic programming problems with an application to the k-winners-take-all problem. IEEE Transactions on Neural Networks (Regular Papers), vol. 20, no. 4, pp. 654–664, April 2009.

[7] X. Hu and J. Wang. An improved dual neural network for solving a class of quadratic programming problems and its k-winners-take-all application. IEEE Transactions on Neural Networks (Regular Papers), vol. 19, no. 12, pp. 2022–2031, Dec. 2008.

[8] X. Hu and J. Wang. Design of general projection neural networks for solving monotone linear variational inequalities and linear and quadratic optimization problems. IEEE Transactions on Systems, Man and Cybernetics – Part B, vol. 37, no. 5, pp. 1414-1421, 2007.

[9] X. Hu and J. Wang. Solving generally constrained generalized linear variational inequalities using the general projection neural networks. IEEE Transactions on Neural Networks (Regular Papers), vol. 18, no. 6, pp. 1697-1708, 2007.

[10] X. Hu and J. Wang. A recurrent neural network for solving a class of general variational inequalities. IEEE Transactions on Systems, Man and Cybernetics – Part B (Regular Papers), vol. 37, no. 3, pp. 528-539, 2007.

[11] X. Hu and J. Wang. Solving pseudomonotone variational inequalities and pseudoconvex optimization problems using the projection neural network. IEEE Transactions on Neural Networks (Regular Papers), vol. 17, no. 6, pp. 1487-1499, 2006.