副教授，清华大学计算机科学与技术系        研究员，清华-IDG/麦戈文脑科学研究院            电子邮件: xlhu@tsinghua.edu.cn       个人主页：http://www.xlhu.cn/

[研究兴趣]

　   深度学习、计算神经科学。致力于在深度学习和脑科学之间建立桥梁，研究脑启发的深度学习模型，同时利用深度学习理解脑的计算机制。

[简历]  

2013.12 -                  清华大学计算机科学与技术系　副教授
2009.09 - 2013.11    清华大学计算机科学与技术系　助理研究员
2007.09 - 2009.08    清华大学计算机科学与技术系　博士后
2004.08 - 2007.07    香港中文大学机械与自动化系　博士
2001.09 - 2004.06    武汉理工大学汽车工程学院　    硕士
1997.09 - 2001.06    武汉理工大学汽车工程学院　    学士

[部分发表]

• Fangzhou Liao, Ming Liang, Yinpeng Dong, Tianyu Pang, Xiaolin Hu*, Jun Zhu, “Defense against adversarial attacks using high-level representation guided denoiser,” Proc. of the 31th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, USA, June 18-22, 2018.
• Yulong Wang, Hang Su, Bo Zhang, Xiaolin Hu*, “Interpret neural networks by identifying critical data routing paths,” Proc. of the 31th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, USA, June 18-22, 2018.
• Wentao Liu, Jie Chen, Cheng Li, Chen Qian, Xiao Chu, Xiaolin Hu*, “A cascaded inception of inception network with attention modulated feature fusion for human pose estimation,” The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), New Orleans, USA, Feb 14-19, 2018.
• Jianfeng Wang, Xiaolin Hu*, “Gated recurrent convolution neural network for OCR,” Advancies in Neural Information Processing (NIPS), Long Beach, USA, Dec. 4-9, 2017.
• Ming Liang, Xiaolin Hu*, Bo Zhang, “Convolutional neural networks with intra-layer recurrent connections for scene labeling,” Advances in Neural Information Processing (NIPS), Montréal, Canada, Dec. 7-12, 2015.
• Ming Liang, Xiaolin Hu*, “Recurrent convolutional neural network for object recognition,” Proc. of the 28th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, USA, June 7-12, 2015, pp. 3367-3375.
• Qingtian Zhang, Xiaolin Hu*, Bo Hong, Bo Zhang, “A hierarchical sparse coding model predicts acoustic feature encoding in both auditory midbrain and cortex,” PLOS Computational Biology, 2019.
• Chengxu Zhuang, Yulong Wang, Daniel Yamins, Xiaolin Hu*, “Deep learning predicts correlation between a functional signature of higher visual areas and sparse firing of neurons,” Frontiers in Computational Neuroscience, 2017.