2016 International Workshop on Mathematical Issues in Information Sciences (MIIS)

2016 International Workshop on Mathematical Issues in Information Sciences (MIIS)

Dec. 17-20, 2016

CUHK (SZ), Shenzhen

Organizer:

Shenzhen Research Institute of Big Data

The Chinese University of Hong Kong, Shenzhen

MIIS 2016 will take place in Shenzhen, at the Chinese University of Hong Kong, Shenzhen, from December 17 to December 20, 2016. The goal of the workshop is to bring together leading scientists, researchers, and practitioners from the world to exchange and share ideas in using mathematics especially modern computation techniques to model and solve practical problems in information sciences and big data analytics.

Speaker:

Prof. Amir Beck 

Technion – Israel Institute of Technology

Tutorial Title: Proximal-based Methods

Talk Title: Primal and Dual Variables Decomposition Methods in Convex Optimization

Prof. Jianfei Cai

Nanyang Technological University

Talk Title: RGB-D Visual Computing: from Low-Level Segmentation to High-Level Scene Understanding

Prof. Cong Gao

Nanyang Technological University

Talk Title: Querying, Exploring and Mining Geospatial Social Media Data

Prof. Alfred Hero

The University of Michigan

Talk Title: Continuum Limits: A Promising Frontier for Large Scale Data Analysis

Prof. Feifang Hu 

George Washington University

Talk Title: The Role of Statistics in the Big Data Era

Prof. Tao Jiang 

University of California, Riverside

Talk Title: Toward More Sensitive Differential Expression Analysis on RNA-Seq Data

Dr. Hang Li

Noah's Ark Lab, Huawei Technologies Co Ltd

Talk Title: Deep Learning for Natural Language Processing: Past, Present, and Future

Prof. Ali H. Sayed

The university of California, Los Angeles

Talk Title: Adaptation and Learning by Networked Agents

Prof. David Tse

Stanford University

Talk Title: The Science of Information: Case studies from DNA and RNA Assembly

Prof. Madeleine Udell 

The Cornell University

Tutorial Title: Generalized Low Rank Models

Talk Title: Sketchy Decisions: Matrix Optimization with Optical Storage

Prof. Yonggang Wen

Nanyang Technological University

Talk Title: Optimizing Network Performance for Large-Scale Distributed Machine Learning on Parameter Server Framework

Prof. Xiaokui Xiao

Nanyang Technological University

Talk Title: Privacy Preserving Data Publishing: From K-Anonymity to Differential Privacy

Prof. Zixiang Xiong 

The U.S. state of Texas a&m university

Talk Title: Adaptive Boosting for Image Denoising: Beyond Low-Rank Representation and Sparse Coding

Prof. Liuqing Yang

Colorado state university

Talk Title: Cross-Object Coding and Allocation (COCA) in Distributed Storage Systems

Prof. Jieping Ye

University of Michigan

Talk Title: Big Data at Didi Chuxing

Prof. Jun Zhang

University of Michigan

Talk Title: Information Geometry: Mathematical Foundation for Information Science

Prof. Yin Zhang

Rice university

Talk Title: Big-Data clustering: K-means versus K-indicators