• Bayesian Non-Exhaustive Classification A Case Study: Online Name Disambiguation using Temporal Record Streams 

  Zhang, Baichuan; Dundar, Murat; Al Hasan, Mohammad (ACM, 2016-10)

  The name entity disambiguation task aims to partition the records of multiple real-life persons so that each partition contains records pertaining to a unique person. Most of the existing solutions for this task operate ...
• Visualizing Road Appearance Properties in Driving Video 

  Wang, Zheyuan; Zheng, Jiang Yu; Kilicarslan, Mehmet (IEEE, 2016-07)

  With the increasing videos taken from driving recorders on thousands of cars, it is a challenging task to retrieve these videos and search for important information. The goal of this work is to mine certain critical road ...
• Enabling Self-healing Smart Grid Through Jamming Resilient Local Controller Switching 

  Liu, Hongbo; Chen, Yingying; Chuah, Mooi Choo; Yang, Jie; Poor, H. Vincent (IEEE, 2015-09)

  A key component of a smart grid is its ability to collect useful information from a power grid for enabling control centers to estimate the current states of the power grid. Such information can be delivered to the control ...
• PInfer: Learning to Infer Concurrent Request Paths from System Kernel Events 

  Xu, Hongteng; Ning, Xia; Zhang, Hui; Rhee, Junghwan; Jiang, Guofei (IEEE, 2016-07)

  Operating system kernel-level tracers are popularly used in the post-development stage by black-box approaches. By inferring service request processing paths from kernel events, these approaches enabled system diagnosis ...
• Machine Learning Techniques for Prediction of Early Childhood Obesity 

  Dugan, T.M.; Mukhopadhyay, S.; Carroll, A.; Downs, S. (Schattauer, 2015-08-12)

  Objectives This paper aims to predict childhood obesity after age two, using only data collected prior to the second birthday by a clinical decision support system called CHICA. Methods Analyses of six different ...
• Kernelized Sparse Self-Representation for Clustering and Recommendation 

  Bian, Xiao; Li, Feng; Ning, Xia (SIAM, 2016)

  Sparse models have demonstrated substantial success in applications for data analysis such as clustering, classification and denoising. However, most of the current work is built upon the assumption that data is distributed ...
• Raspberry Pi: An Effective Vehicle in Teaching the Internet of Things in Computer Science and Engineering 

  Zhong, Xiaoyang; Liang, Yao (MDPI, 2016-09)

  The Raspberry Pi is being increasingly adopted as a suitable platform in both research and applications of the Internet of Things (IoT). This study presents a novel project-based teaching and learning approach devised in ...
• An Experimental Distributed Framework for Distributed Simultaneous Localization and Mapping 

  Gamage, Ruwan; Tuceryan, Mihran (IEEE, 2016-05)

  Simultaneous Localization and Mapping (SLAM) is widely used in applications such as rescue, navigation, semantic mapping, augmented reality and home entertainment applications. Most of these applications would do better ...
• TopCom: Index for Shortest Distance Query in Directed Graph 

  Dave, Vachik S.; Al Hasan, Mohammad (Springer, 2015)

  Finding shortest distance between two vertices in a graph is an important problem due to its numerous applications in diverse domains, including geo-spatial databases, social network analysis, and information retrieval. ...
• Uber-in-light: Unobtrusive visible light communication leveraging complementary color channel 

  Izz, Mostafa; Li, Zhongyuan; Liu, Hongbo; Chen, Yingying; Li, Feng (IEEE, 2016-04)

  Abstract: Recently, Visible Light Communication (VLC) over a screen-camera channel has drawn considerable attention to unobtrusive design. It overcomes the distractive nature of traditional coded image approaches (e.g., ...
• Poster: Infusing Trust in Indoor Tracking 

  Rybarczyk, Ryan; Raje, Rajeev; Tuceryan, Mihran (ACM, 2016-06)

  An indoor tracking system is inherently an asynchronous and distributed system that contains various types (e.g., detection, selection, and fusion) of events. One of the key challenges with regards to indoor tracking is ...
• Modeling and Implementation of an Asynchronous Approach to Integrating HPC and Big Data Analysis 

  Fu, Yuankun; Song, Fengguang; Zhu, Luoding (Elsevier, 2016-06)

  With the emergence of exascale computing and big data analytics, many important scientific applications require the integration of computationally intensive modeling and simulation with data-intensive analysis to accelerate ...
• Survey of Return-Oriented Programming Defense Mechanisms 

  Ruan, Yefeng; Kalyanasundaram, Sivapriya; Zou, Xukai (Wiley, 2016-07)

  A prominent software security violation-buffer overflow attack has taken various forms and poses serious threats until today. One such vulnerability is return-oriented programming attack. An return-oriented programming ...
• Understanding Compressed Sensing Inspired Approaches for Path Reconstruction in Wireless Sensor Networks 

  Liu, Rui; Liang, Yao; Zhong, Xiaoyang (IEEE, 2015-12)

  Abstract: Understanding per-packet routing dynamics in deployed and complex wireless sensor networks (WSNs) has become increasingly important for many essential tasks such as network performance analysis, operation ...
• Monitoring Routing Topology in Dynamic Wireless Sensor Network Systems 

  Liu, Rui; Liang, Yao; Zhong, Xiaoyang (IEEE, 2015)

  In large-scale multi-hop wireless sensor networks (WSNs) for data collection, the ability of monitoring per-packet routing paths at the sink is essential in better understanding network dynamics, and improving routing ...
• Simplicity of Kmeans versus Deepness of Deep Learning: A Case of Unsupervised Feature Learning with Limited Data 

  Dundar, Murat; Kou, Qiang; Zhang, Baichuan; He, Yicheng; Rajwa, Bartek (IEEE, 2015-12)

  We study a bio-detection application as a case study to demonstrate that Kmeans -- based unsupervised feature learning can be a simple yet effective alternative to deep learning techniques for small data sets with limited ...
• Enhancing and Implementing Fully Transparent Internet Voting 

  Butterfield, Kevin; Li, Huian; Zou, Xukai; Li, Feng (IEEE, 2015-08)

  Voting over the internet has been the focus of significant research with the potential to solve many problems. Current implementations typically suffer from a lack of transparency, where the connection between vote casting ...
• DMAP: a connectivity map database to enable identification of novel drug repositioning candidates 

  Huang, Hui; Nguyen, Thanh; Ibrahim, Sara; Shantharam, Sandeep; Yue, Zongliang; Chen, Jake Y. (BioMed Central, 2015-09-25)

  BACKGROUND: Drug repositioning is a cost-efficient and time-saving process to drug development compared to traditional techniques. A systematic method to drug repositioning is to identify candidate drug's gene expression ...
• Temporal Mapping of Surveillance Video for Indexing and Summarization 

  Bagheri, Saeid; Zheng, Jiang Yu; Sinha, Shivank (Elsevier, 2016-03)

  This work converts the surveillance video to a temporal domain image called temporal profile that is scrollable and scalable for quick searching of long surveillance video by human operators. Such a profile is sampled with ...
• Temporal Coverage Based Content Distribution in Heterogeneous Smart Device Networks 

  Peng, Wei; Li, Feng; Zou, Xukai (IEEE, 2015-06)

  The present work studies content distribution in heterogeneous smart device networks, in which all smartphones/ tablets can communicate through proximity channels such as Bluetooth/NFC/Wi-Fi Direct when they are in proximity, ...

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