设为首页加入收藏网站地图 ENGLISH 信息门户
通知信息
当前位置: 首页 >> 学术信息 >> 正文

关于举办华东师范大学林绍辉副教授学术报告的通知

发布时间:2020年10月19日

各部门、各单位:

应我校通信与信息工程学院(人工智能学院)的邀请,华东师范大学计算机科学与技术学院林绍辉副教授将于1022日来我校做专题学术讲座,欢迎广大师生参加!报告的具体安排如下:

报告时间:20201022日(周四)1630

报告地点:腾讯会议253 922 334

报告题目:Deep neural networks compression and acceleration

   要:Deep neural networks (DNNs) have developed rapidly and achieved remarkable success in many artificial intelligence (AI) applications, such as image understanding, speech recognition and natural language processing, which have been one of the research focuses in AI. However, with the high performance improvement of DNNs, the networks have become deeper and wider, which significantly increases the number of parameters and computation complexity. How to compress and accelerate these large DNNs has received ever-increasing focus from both academic and industrial research. Aiming at the problem of parameter redundancy in DNNs, this talk presents general methods of low-rank decomposition, parameter pruning and knowledge distillation for DNNs compression and acceleration, especially for convolutional neural networks (CNNs) compression and acceleration.

报告人简介:Shaohui Lin is currently an associate researcher and a Zijiang Young Scholar in the School of Computer Science and Technology, East China Normal University (ECNU). He received Ph.D. from Xiamen University in June 2019. He was working as a postdoc researcher at National University of Singapore before joining ECNU. My research specialty is computer vision, machine learning and deep learning, especially compression and speeding-up of large capacity models. He is the first-author of about 10 scientific articles at top venues, including IEEE TPAMI, TNNLS, CVPR, IJCAI, and AAAI. He serves as reviewers for TPAMI, IJCV, TNNLS and TMM, CVPR and NeurIPS etc. He is the recipient of Outstanding Doctoral Dissertation Nomination Award, Chinese Association for Artificial Intelligence (CAAI), 2020.

特此通知。


通信与信息工程学院

20201019


上一条:关于举办王立非教授冯光武教授学术报告的通知

下一条:关于举办赵宝升研究员学术讲座的通知

关闭页面

雁塔校区

电话:029-85383106

邮政编码:710061

雁塔校区地址:西安市长安南路563号

长安校区

电话:029-88166105

邮政编码:710121

长安校区地址:西安市长安区西长安街618号

版权所有:西安邮电大学 2011-2020 中国西安长安南路563号 陕ICP备05001585号-1