日前，上海鲸鱼机器人科技有限公司（以下简称：鲸鱼机器人）做出重要任命，胡晓林博士将正式出任鲸鱼机器人首席AI科学家。胡晓林博士在人工神经网络和神经科学领域的研究处于国际前沿，对人工智能有着极深的研究，他将负责鲸鱼机器人产品软硬件的研发。相信胡晓林博士的加入，将加速鲸鱼机器人产品的升级和更新换代。
胡晓林博士简历
清华大学 教授
香港中文大学 工学博士
IEEE Transactions on Neural Networks and Learning Systems编委
研究领域
人工神经网络、计算神经科学
研究课题
国家自然科学基金（青年）: 基于KKT条件的优化递归神经网络簇设计（2009-2011）;
国家自然科学基金（面上）：基于稀疏编码模型的深层学习神经网络（2013-2016）
研究概况
胡晓林博士研究集中在计算机科学与认知神经科学的交叉方向，包括人工神经网络和计算神经科学。胡晓林博士对揭开大脑的奥秘及受大脑启发的计算方法的研究有着极大的兴趣，正在尝试用功能性核磁共振成像(fMRI)结合机器学习的方法探索大脑的工作机制，并结合更多的认知神经科学方面的知识提高深度学习模型在物体识别和检测方面的精度和效率，取得优异成果。
奖励与荣誉
教育部自然科学一等奖（排名第3）：神经动力学优化模型及应用（2012）
清华大学优秀博士后（2009）
ICONIP 2012：最佳论文奖（2012）
学术成果
Fangzhou Liao, Xi Chen, Xiaolin Hu*, Sen Song*, “Estimation of the volume of the left ventricle from MRI images using deep neural networks,” IEEE Transactions on Cybernetics, 2018. DOI: 10.1109/TCYB.2017.2778799(accepted)
Niange Yu, Xiaolin Hu*, Binheng Song, Jian Yang, Jianwei Zhang, “Topic-oriented image captioning based on order-embedding,” IEEE Transactions on Image Processing. (accepted)
Fangzhou Liao, Ming Liang, Zhe Li, Xiaolin Hu*, Sen Song*, “Evaluate the malignancy of pulmonary nodules using the 3D deep leaky noisy-or network, ” IEEE Transactions on Neural Networks and Learning Systems. (accepted)
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.
Wei Feng, Wentao Liu, Tong Li, Jing Peng, Chen Qian, Xiaolin Hu*, “Turbo learning framework for human-object interactions recognition and human pose estimation,” The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI), Honolulu, Hawaii, USA, Jan 27-Feb 1, 2019.
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.
Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Hang Su, Jun Zhu*, Xiaolin Hu, Jianguo Li, “Boosting adversarial attacks with momentum,” 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.
