基本信息

安竹林  男  硕导  中国科学院计算技术研究所
电子邮件: anzhulin@ict.ac.cn
通信地址: 北京市海淀区科学院南路6号
邮政编码: 100190

研究领域

深度神经网络自动生成与优化,终身学习

招生信息

   
招生专业
081201-计算机系统结构
085211-计算机技术
招生方向
​深度神经网络自动生成与优化

教育背景

2006-09--2010-08   中国科学院计算技术研究所   工学博士
2003-09--2006-07   合肥工业大学计算机与信息学院   工学硕士
1999-09--2003-07   合肥工业大学计算机与信息学院   工学学士
学位

工学博士

工作经历

   
工作简历
2014-09~现在, 中国科学院计算技术研究所, 高级工程师
2013-01~2014-09,中国科学院计算技术研究所, 助理研究员
2010-09~2013-01,中国科学院计算技术研究所, 博士后
社会兼职
2014-01-01-今,中国计算机学会青年计算机科技论坛(YOCSEF), 委员

专利与奖励

   
专利成果
( 1 ) 一种水下无线传感器网络媒体介质访问控制方法, 发明, 2015, 第 4 作者, 专利号: 201510011817.3
( 2 ) 水下传感器网络的媒体介质访问控制协议方法及系统, 发明, 2014, 第 3 作者, 专利号: 201410265061.0
( 3 ) 一种基于水下无线传感器网络的自适应媒体访问控制方法及其系统, 发明, 2014, 第 4 作者, 专利号: 201410164030.6
( 4 ) 一种基于深度学习模型的链路评估方法和系统, 发明, 2019, 第 3 作者, 专利号: 201811221654.1
( 5 ) 一种基于交叉生成复杂神经网络的方法及系统, 发明, 2019, 第 2 作者, 专利号: 201910952242.3
( 6 ) 一种基于通道数搜索卷积神经网络的方法, 发明, 2019, 第 5 作者, 专利号: 201911282344.5

出版信息

   
发表论文
[1] Linhang Cai, Zhulin An, Chuanguang Yang, Yangchun Yan, Yongjun Xu. Prior Gradient Mask Guided Pruning-aware Fine-tuning. 36th AAAI Conference on Artificial Intelligence (AAAI)null. 2022, https://ojs.aaai.org/index.php/AAAI/article/view/19888.
[2] Yang, Chuanguang, An, Zhulin, Cai, Linhang, Xu, Yongjun. Mutual Contrastive Learning for Visual Representation Learning. 36th AAAI Conference on Artificial Intelligence (AAAI)null. 2022, https://ojs.aaai.org/index.php/AAAI/article/view/20211.
[3] Yang, Chuanguang, An, Zhulin, Cai, Linhang, Xu, Yongjun. Hierarchical Self-supervised Augmented Knowledge Distillation. 30th International Joint Conference on Artificial Intelligence (IJCAI)null. 2021, https://www.ijcai.org/proceedings/2021/168.
[4] Linhang Cai, Zhulin An, Yongjun Xu. Soft and Hard Filter Pruning via Dimension Reduction. International Joint Conference on Neural Networks (IJCNN)null. 2021, https://ieeexplore.ieee.org/document/9534116.
[5] Yang, Chuanguang, An, Zhulin, Xu, Yongjun. MULTI-VIEW CONTRASTIVE LEARNING FOR ONLINE KNOWLEDGE DISTILLATION. 2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021)null. 2021, 3750-3754, https://ieeexplore.ieee.org/document/9414664.
[6] Zhu, Hui, An, Zhulin, Yang, Chuanguang, Hui, Xiaolong, Xu, Kaiqiang, Xu, Yongjun. Efficient Search for the Number of Channels for Convolutional Neural Networks. 2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2020, https://ieeexplore.ieee.org/document/9207593.
[7] Xu, Kaiqiang, An, Zhulin, Zhu, Hui, Hu, Xiaolong, Xu, Yongjun. HLNet: Modeling High and Low Frequencies for Scene Parsing. 2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2020, https://ieeexplore.ieee.org/document/9207012.
[8] Hu Xiaolong, An Zhulin, Yang Chuanguang, Zhu Hui, Xu Kaiqaing, Xu Yongjun. DRNet: Dissect and Reconstruct the Convolutional Neural Network via Interpretable Manners. 24th European Conference on Artificial Intelligence (ECAI)null. 2020, https://ecai2020.eu/papers/447_paper.pdf.
[9] Yang Chuanguang, An Zhulin, Zhu Hui, Hu Xiaolong, Zhang Kun, Xu Kaiqiang, Li Chao, Xu Yongjun. Gated Convolutional Networks with Hybrid Connectivity for Image Classification. 34th AAAI Conference on Artificial Intelligence (AAAI)null. 2020, https://ojs.aaai.org/index.php/AAAI/article/view/6948.
[10] Cai, Linhang, An, Zhulin, Yang, Chuanguang, Xu, Yongjun. Softer Pruning, Incremental Regularization. 25th International Conference on Pattern Recognition (ICPR)null. 2020, https://www.computer.org/csdl/proceedings-article/icpr/2021/09412993/1tmhBxDYrTi.
[11] Yang Chuanguang, An Zhulin, Li Chao, Diao Boyu, Xu Yongjun. Multi-Objective Pruning for CNNs Using Genetic Algorithm. 28th International Conference on Artificial Neural Networks (ICANN)null. 2019, https://link.springer.com/chapter/10.1007/978-3-030-30484-3_25.
[12] Zhu, Hui, An, Zhulin, Yang, Chuanguang, Xu, Kaiqiang, Zhao, Erhu, Xu, Yongjun, IEEE. EENA: Efficient Evolution of Neural Architecture. 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW)null. 2019, 1891-1899, https://openaccess.thecvf.com/content_ICCVW_2019/papers/NeurArch/Zhu_EENA_Efficient_Evolution_of_Neural_Architecture_ICCVW_2019_paper.pdf.
[13] Li Chao, Ma Xiaolong, An Zhulin, Xu Yongjun, IEEE. A Deep Neural Network Compression Algorithm Based on Knowledge Transfer for Edge Device. 2018 THIRD IEEE/ACM SYMPOSIUM ON EDGE COMPUTING (SEC)null. 2018, 334-335, http://dx.doi.org/10.1109/SEC.2018.00035.
[14] An, Zhulin, Zhu, Hongsong, Li, Xinrong, Xu, Chaonong, Xu, Yongjun, Li, Xiaowei. Nonidentical Linear Pulse-Coupled Oscillators Model With Application to Time Synchronization in Wireless Sensor Networks. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS[J]. 2011, 58(6): 2205-2215, https://www.webofscience.com/wos/woscc/full-record/WOS:000290628500016.

科研活动

   

指导学生

已指导学生

许开强  硕士研究生  085211-计算机技术  

朱徽  硕士研究生  085211-计算机技术  

胡小龙  硕士研究生  085211-计算机技术  

现指导学生

蔡林航  硕士研究生  085211-计算机技术  

支相  硕士研究生  085400-电子信息