About Song Han is an assistant professor in MIT’s Department of Electrical Engineering and Computer Science. He received his PhD degree from Stanford University. His research focuses on efficient deep learning computing.
Song Han, Junlong Kang, Huizi Mao, Yubin Li, Dongliang Xie, Hong Luo, Yu Wang, Huazhong Yang, William J. Dally NIPS workshop on Efficient Methods for Deep Neural Networks (EMDNN), Dec 2016, Best Paper Honorable Mention. International Symposium on Field-Programmable Gate Arrays (FPGA), Feb 2017, Best Paper Award. Compressing and Regularizing Deep Neural Networks, Improving Prediction Accuracy.
Sep 1, 2017: Song finished his PhD thesis: Efficient Methods and Hardware for Deep Learning. July 26, 2017: Song presented Exploring the Regularity of Sparse Structure in Convolutional Neural Networks at CVPR’17 TMCV workshop, Honolulu. June 1, 2017: Song passed PhD defense. April 24, 2017: Song presented Dense-Sparse-Dense training, a regularization technique for deep neural networks, at.
Professor Song-I Han received her Doctoral Degree in Natural Sciences (Dr.rer.nat) from Aachen University of Technology, Germany, in 2001. She was awarded with the first Raymond Andrew Prize of the Ampere Society for an outstanding PhD thesis in magnetic resonance.
Song Han will join the Department of Electrical Engineering and Computer Science as an assistant professor in July 2018. He received his master’s degree and PhD in electrical engineering from Stanford. His research focuses on energy-efficient deep learning at the intersection of machine learning and computer architecture. Han proposed the deep compression algorithm, which can compress neural.
EECS Assistant Professor Song Han. EECS Staff. EECS faculty member Song Han has been named to MIT Technology Review’s prestigious annual Innovators Under 35 list in the Pioneer category. Han, who is the Robert J. Shillman (1974) Career Development Assistant Professor in EECS, was recognized for designing software that lets powerful artificial intelligence (AI) programs run more efficiently.
My PhD defense talk. This video is unavailable. Watch Queue Queue.
Donald Nababan (PhD candidate since 2014). Song-Lee Han (completed in 2009) Title: Discourse Analysis of an English TV Program and Its Translation into Korean (Principal Supervisor) Hye Jin Yun (completed in 2009) Title: A comparative study on thematic choice and grammatical metaphor in children’s literature (Principal Supervisor) Yumi Hong (completed in 2009) Title: A study on.
Dr. Han proposed “Deep Compression” that widely impacted the industry. Prior to joining MIT, Song Han graduated from Stanford with a PhD advised by NVIDIA Chief Scientist Bill Dally, which included internships at Facebook, Google and Apple. He was the co-founder and chief scientist of DeePhi Tech, Beijing, based on his PhD thesis, which was acquired in 2018 by Xilinx. Be the first. At.
Song Han, PhD. Assistant Professor, Computer Science and Engineering (Affiliate) Research Overview. One of my current research interests is to leverage the latest advancements in smartphone technologies and various embedded sensors for effectively tracking the mood status of a patient who is suffering mood disorder. Two of the most important issues in medical treatment of mood disorder.
Song Han will join EECS as an assistant professor in July 2018. He received his master’s degree and PhD in electrical engineering from Stanford. His research focuses on energy-efficient deep learning at the intersection of machine learning and computer architecture. Han proposed the deep compression algorithm, which can compress neural networks by 17 to 49 times while fully preserving.
Thesis: Predictive Surgical Simulation for Preoperative Planning of Complex Cardiovascular Surgeries, Ph.D., Jun 2010: Song Zhiyuan Thesis:Hepatic Vein Segmentation in CT Images using Fast Marching Method Driven by Gaussian Mixture Models, M.Sc., 2010: 2000 - 2009: Lu Huanhuan.
Staff PhD and MPhil theses in pdf format. Staff PhD theses can be download here. The first link goes to a directory containing a set of PDF files of the thesis, the second a compressed TAR file of these pdfs. PhD Theses. Title Author Year Thesis; Genetic studies of cardiometabolic traits: Riveros Mckay Aguilera, Fernando: 2018: Fernando Riveros Mckay Aguilera's thesis; tar.gz file.
Song-I Han received her Doctoral Degree in Natural Sciences (Dr.rer.nat) from Aachen University of Technology, Germany, in 2001. She was awarded with the first Raymond Andrew Prize of the Ampere Society for an outstanding PhD thesis in magnetic resonance imaging. She pursued her postdoctoral studies at the University of California, Berkeley under the sponsorship of the Feodor Lynen Fellowship.
Kyongkuk Han Doctor of Philosophy University of St. Michael’s College 2014 Abstract This thesis proposes a model of Korean contextual preaching based on potentials of traditional Korean narratives and performances, and insights from representative contextual preaching. Korean preaching has mostly followed Western preaching style such as three.She received her BS in physics from Tsing-Hua University in Taiwan in 1976 and her PhD in Physics from Ohio State University in 1984. She was a Research Scientist in the Materials Institute at Princeton University and a Research Associate Professor in the Department of Materials Science and Engineering at Drexel University prior to joining School of Biomedical Engineering at Drexel University.Dr. Cong Han Postdoctoral Research Assistant Wei Song PhD Student Qilong Wu PhD Student Na Liu PhD Student Past Lab Members Dr. Irene Pinzuti Thesis: Functional analysis of ubiquitylation mechanisms in host-pathogen interactions Dr. Jun Fan Thesis: Investigating the Crosstalk between Nedd4 Ubiquitin Ligases and PIAS3 SUMO Ligase. Share this: Twitter; Facebook; Proudly powered by WordPress.