Jian Li's Homepage
李建 LI, Jian Jian Li is currently an associate professor with the ADL group@IIIS at Institute for Interdisciplinary Information Sciences (IIIS, previously ITCS), Tsinghua University, headed by Prof. Andrew Yao. Recruit（招聘, 招收博士后、实习生、直博直硕学生） Bio (个人简介) Publications (full list in Google Scholar) Some Talks (with slides) Students Research Interests Algorithms (Approximation Algorithms, Computational G
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Ayana, Shen SQ, Lin YK et al. Recent advances on neural headline generation. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 32(4): 768–784 July 2017. DOI 10.1007/s11390-017-1758-3 Recent Advances on Neural Headline Generation Ayana 1,2,3,4 , Student Member, CCF, Shi-Qi Shen 1,2,3 , Student Member, CCF Yan-Kai Lin 1,2,3,5 , Student Member, CCF, Cun-Chao Tu 1,2,3,5 , Student Member, CCF, Yu Zhao 1,2,3 Z
NN Accelerator | NICS EFC Lab
Home project NN Accelerator Neural Network Accelerator Comparison For use in publications and presentations please cite this data collection as follows: K. Guo, W. Li, K. Zhong, Z. Zhu, S. Zeng, S. Han, Y. Xie, P. Debacker, M. Verhelst, Y. Wang. "Neural Network Accelerator Comparison" [Online]. Available: https://nicsefc.ee.tsinghua.edu.cn/projects/neural-network-accelerator/ Introduction video (C
GSDMMTrecBeta.eps
A Dirichlet Multinomial Mixture Model-based Approach for Short Text Clustering Jianhua Yin Jianyong Wang Tsinghua National Laboratory for Information Science and Technology (TNList), Department of Computer Science and Technology, Tsinghua University, Beijing, China jhyin12@gmail.com, jianyong@tsinghua.edu.cn ABSTRACT Short text clustering has become an increasingly impor- tant task with the popula
Nonparametric Information Geometry: From Divergence Function to Referential-Representational Biduality on Statistical Manifolds
Entropy 2013, 15, 5384-5418; doi:10.3390/e15125384 OPEN ACCESS entropy ISSN 1099-4300 www.mdpi.com/journal/entropy Article Nonparametric Information Geometry: From Divergence Function to Referential-Representational Biduality on Statistical Manifolds Jun Zhang Department of Psychology and Department of Mathematics, University of Michigan, 530 Church Street, Ann Arbor, MI 48109, USA; E-Mail: junz@u
Distance Metric Learning for Computer Vision - ECCV 2016 Tutorial
[2016-09-15]: We are organizing a special issue on Distance Metric Learning for Pattern Recognition at the Pattern Recognition Journal. Please visit here for more details. Over the past decade, distance metric learning has been developed as one of the basic techniques in machine learning and successfully applied to a wide range of computer vision tasks showing state-of-the-art performance. In this
Efficient 3D Room Shape Recovery from a Single Panorama
Abstract We propose a method to recover the shape of a 3D room from a full-view indoor panorama. Our algorithm can automatically infer a 3D shape from a collection of partially oriented superpixel facets and line segments. The core part of the algorithm is a constraint graph, which includes lines and superpixels as vertices, and encodes their geometric relations as edges. A novel approach is propo
Zhong-Zhi Xianyu's Webpage
The following is a list of solutions to problems in the book An introduction to quantum field theory by M. Peskin and D. Schroeder. Please do not expect too much about the "completeness" of these notes. The word "complete" should be understood in the sense that each problem in the book is touched, but to different levels of depth. I made these notes within a number of small pieces of free time du
Meng Zhang: Home
Research & Engineering Interests For research work, my interests are in all areas in multimedia networking, particularly in QoS issue of peer-to-peer streaming, peer-to-peer Video-on-Demand, multimedia streaming on overlay networks, etc. Mathematical optimization, distributed algorithm design and real-world experiments are my strong tools for finding solutions for these related problems. For engin
Jie Tang (Tang, Jie) 's Homepage
Professor ACM/AAAI/IEEE Fellow NSFC Distinguished Young Scholar Knowledge Engineering Group (KEG), Department of Computer Science, Tsinghua University E-Mail: jietang at tsinghua . edu . cn I am a Professor of Computer Science of Tsinghua University. I am a Fellow of the ACM, a Fellow of AAAI, and a Fellow of the IEEE. My research interests include artificial general intelligence (AGI), data mini
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http://ml.cs.tsinghua.edu.cn/~lingxi/PDFs/Xie_ICMR15_ONE.pdf
中国锦屏地下实验室
http://cg.cs.tsinghua.edu.cn/papers/SIGASIA-2013-3sweep.pdf
可视媒体研究中心 | 清华大学计算机系
HXMT科学工作组
HXMT科学工作组
Enabling FPGAs in the Cloud
清华大学自然语言处理与社会人文计算实验室
http://cg.cs.tsinghua.edu.cn/cmm/?page_id=155
http://media.cs.tsinghua.edu.cn/~wangnan/content/publications/goodparts.pdf