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Nicholas Jing Yuan, Yu Zheng, Xing Xie, Yingzi Wang, Kai Zheng, and Hui Xiong

The step of urbanization and modern civilization fosters different functional zones in a city, such as residential areas, business districts, and educational areas. In a metropolis, people commute between these functional zones every day to engage in different socioeconomic activities, e.g., working, shopping, and entertaining. In this paper, we propose a data-driven framework to discover functional zones in a city. Specifically, we introduce the concept of Latent Activity Trajectory (LAT), which...

Publication details
Date: 1 August 2016
Type: Article
Publisher: IEEE – Institute of Electrical and Electronics Engineers
Emerson Murphy-Hill, Thomas Zimmermann, Christian Bird, and Nachiappan Nagappan

When software engineers fix bugs, they may have several options as to how to fix those bugs. Which fix they choose has many implications, both for practitioners and researchers: What is the risk of introducing other bugs during the fix? Is the bug fix in the same code that caused the bug? Is the change fixing the cause or just covering a symptom? In this paper, we investigate alternative fixes to bugs and present an empirical study of how engineers make design choices about how to fix bugs. We start...

Publication details
Date: 1 December 2015
Type: Article
Publisher: IEEE – Institute of Electrical and Electronics Engineers
Yanjie Fu, Yong Ge, Yu Zheng, Yao, Yanchi Liu, Hui Xiong, and Nicholas Jing Yuan

Ranking residential real estates based on investment values can provide decision making support for home buyers and thus plays an important role in estate marketplace. In this paper, we aim to develop methods for ranking estates based on investment values by mining users opinions about estates from online user reviews and offline moving behaviors (e.g., taxi traces, smart card transactions, check-ins). While a variety of features could be extracted from these data, these features are intercorrelated and...

Publication details
Date: 1 December 2015
Type: Inproceeding
Publisher: IEEE – Institute of Electrical and Electronics Engineers
Abram Hindle, Christian Bird, Thomas Zimmermann, and Nachiappan Nagappan

Large organizations like Microsoft tend to rely on formal requirements documentation in order to specify and design the software products that they develop. These documents are meant to be tightly coupled with the actual implementation of the features they describe. In this paper we evaluate the value of high-level topic-based requirements traceability and issue report traceability in the version control system, using Latent Dirichlet Allocation (LDA). We evaluate LDA topics on practitioners...

Publication details
Date: 1 December 2015
Type: Article
Publisher: Springer
Publication details
Date: 1 December 2015
Type: Article
Yuchen Zhang, Xi Chen, Dengyong Zhou, and Michael I. Jordan

Publication details
Date: 1 December 2015
Type: Inproceeding
Badrish Chandramouli, Jonathan Goldstein, Mike Barnett, Robert DeLine, Danyel Fisher, John C. Platt, James F. Terwilliger, and John Wernsing

This paper introduces Trill – a new query processor for analytics. Trill fulfills a combination of three requirements for a query processor to serve the diverse big data analytics space: (1) Query Model: Trill is based on a tempo-relational model that enables it to handle streaming and relational queries with early results, across the latency spectrum from real-time to offline; (2) Fabric and Language Integration : Trill is architected as a high-level language library that supports...

Publication details
Date: 1 August 2015
Type: Inproceeding
Publisher: VLDB – Very Large Data Bases
Mohan Yang, bolin ding, surajit chaudhuri, and kaushik chakrabarti

We aim to provide table answers to keyword queries using a knowledge base. For queries referring to multiple entities, like “Washington cities population” and “Mel Gibson movies”, it is better to represent each relevant answer as a table which aggregates a set of entities or joins of entities within the same table scheme or pattern. In this paper, we study how to find highly relevant patterns in a knowledge base for user-given keyword queries to compose table answers. A knowledge base is...

Publication details
Date: 1 August 2015
Type: Inproceeding
Publisher: VLDB – Very Large Data Bases
Fuzheng Zhang, Nicholas Jing Yuan, David Wilkie, Yu Zheng, and Xing Xie

Urban transportation is an important factor in energy consumption and pollution, and is of increasing concern due to its complexity and economic significance. Its importance will only increase as urbanization continues around the world. In this paper, we explore drivers’ refueling behavior in urban areas. Compared to questionnaire-based methods of the past, we propose a complete data-driven system that pushes towards real-time sensing of individual refueling behavior and citywide petrol consumption. Our...

Publication details
Date: 1 June 2015
Type: Article
Publisher: ACM – Association for Computing Machinery
Shuo Ma, Yu Zheng, and Ouri Wolfson

We proposed and developed a taxi-sharing system that accepts taxi passengers’ real-time ride requests sent from smartphones and schedules proper taxis to pick up them via ridesharing, subject to time, capacity, and monetary constraints. The monetary constraints provide incentives for both passengers and taxi drivers: passengers will not pay more compared with no ridesharing and get compensated if their travel time is lengthened due to ridesharing; taxi drivers will make money for all the detour distance...

Publication details
Date: 1 June 2015
Type: Article
Publisher: IEEE
The Devices and Networking Summit 2015 will bring together 250 thought leaders, researchers and practitioners from academia and industry, drawn from a broad range of disciplines including computer science, engineering and design. Together we will discuss some of the key advances and challenges relating to the development and deployment of the next generation of devices and services.
Event details
Date: 11–13 May 2015
Location: Paris, France
Type: Conference
This is the website of the second International Workshop on Rack-scale Computing to be co-located with EuroSys'15
Event details
Date: 21 April 2015
Location: Bordeaux, France
Type: Workshop
Sudip Roy, Arnd Christian König, Igor Dvorkin, and Manish Kumar

Cloud platforms involve multiple independently developed components, often executing on diverse hardware configurations and across multiple data centers. This complexity makes tracking various key performance indicators (KPIs) and manual diagnosing of anomalies in system behavior both difficult and expensive. In this paper, we describe Argus, an automated system for mining service logs to identify anomalies and help formulate data-driven hypotheses.

Argus includes a suite of efficient mining...

Publication details
Date: 15 April 2015
Type: Inproceeding
Publisher: IEEE
Accurate indoor localization has the potential to transform the way people navigate indoors in a similar way that GPS transformed the way people navigate outdoors. Over the last 15 years, several human-centric approaches to indoor localization have been proposed by both academia and industry, but we have yet to see large scale deployments. This competition aims to bring together real-time or near real-time indoor location technologies and compare their performance.
Event details
Date: 11–13 April 2015
Location: Seattle, WA, USA
Type: Workshop
Arvind Arasu, Ken Eguro, Manas Joglekar, Raghav Kaushik, Donald Kossmann, and Ravi Ramamurthy

Cipherbase is a comprehensive database system that provides strong end-to-end data confidentiality through encryption. Cipherbase is based on a novel architecture that combines an industrial strength database engine (SQL Server) with lightweight processing over encrypted data that is performed in secure hardware. Cipherbase has the smallest trusted computing base (TCB) among comparable systems and provides significant benefits over the state-of-the-art in terms of security, performance, and...

Publication details
Date: 1 April 2015
Type: Inproceeding
Jiajun Zhang, Shujie Liu, Mu Li, Ming Zhou, and Chengqing Zong

Language model is one of the most important modules in statistical machine translation and currently the wordbased language model dominants this community. However, many translation models (e.g. phrase-based models) generate the target language sentences by rendering and compositing the phrases rather than the words. Thus, it is much more reasonable to model dependency between phrases, but nearly no research work focuses on this problem. In this paper, we tackle this problem by designing a novel...

Publication details
Date: 1 April 2015
Type: Proceedings
Publisher: AAAI - Association for the Advancement of Artificial Intelligence
Wen Hua, Zhongyuan Wang, Haixun Wang, Kai Zheng, and Xiaofang Zhou

Understanding short texts is crucial to many applications, but challenges abound. First, short texts do not always observe the syntax of a written language. As a result, traditional natural language processing methods cannot be easily applied. Second, short texts usually do not contain suffi cient statistical signals to support many state-of-the-art approaches for text processing such as topic modeling. Third, short texts are usually more ambiguous. We argue that knowledge is needed in order to better...

Publication details
Date: 1 April 2015
Type: Inproceeding
Emre Kıcıman

While today’s structured knowledge bases (e.g., Freebase) contain a sizable collection of information about entities, from celebrities and locations to concepts and common objects, there is a class of knowledge that has minimal coverage: actions. A large-scale knowledge base of actions would provide an opportunity for computing devices to aid and support people’s reasoning about their own actions and consequences, leading to improved decision-making and goal achievement. In this short paper,...

Publication details
Date: 23 March 2015
Type: Inproceeding
Publisher: AAAI - Association for the Advancement of Artificial Intelligence
Irene Rae, Gina Venolia, John C. Tang, and David Molnar

As a field, telepresence has grown to include a wide range of systems, from multi-view videoconferencing units to humanlike androids. However, the diversity of systems and research makes it difficult to form a holistic understanding of where the field stands. We propose a framework consisting of seven design dimensions for understanding telepresence, iteratively developed from previous literature, a series of three surveys, the construction of two design probes, and a field study. These design...

Publication details
Date: 14 March 2015
Type: Inproceeding
Publisher: ACM – Association for Computing Machinery
Nathan Wiebe, Ashish Kapoor, and Krysta M. Svore

We present several quantum algorithms for performing nearest-neighbor learning. At the core of our algorithms are fast and coherent quantum methods for computing distance metrics such as the inner product and Euclidean distance. We prove upper bounds on the number of queries to the input data required to compute these metrics. In the worst case, our quantum algorithms lead to polynomial reductions in query complexity relative to the corresponding classical algorithm. In certain cases, we show...

Publication details
Date: 1 March 2015
Type: Article
Publisher: Rinton Press
Number: 3&4
Margus Veanes and Nikolaj Bjørner

We introduce symbolic tree automata as a generalization of finite tree automata with a parametric alphabet over any given background theory. We show that symbolic tree automata are closed under Boolean operations, and that the operations are effectively uniform in the given alphabet theory. This generalizes the corresponding classical properties known for finite tree automata.

Publication details
Date: 1 March 2015
Type: Article
Publisher: Elsevier
Number: 3
Indrani Medhi Thies, Pedro Ferreira, Nakull Gupta, Jacki O’Neill, and Edward Cutrell

With the wide penetration of mobile internet, social networking (SN) systems are becoming increasingly popular in the developing world. However, most SN sites are text heavy, and are therefore unusable by low-literate populations. Here we ask what would an SN application for low-literate users look like and how would it be used? We designed and deployed KrishiPustak, an audio-visual SN mobile application for low-literate farming populations in rural India. Over a four month deployment, 306...

Publication details
Date: 1 March 2015
Type: Inproceeding
Publisher: ACM – Association for Computing Machinery
Kathryn Zyskowski, Meredith Ringel Morris, Jeffrey P. Bigham, Mary L. Gray, and Shaun Kane

We present the first formal study of crowdworkers who have disabilities via in-depth open-ended interviews of 17 people (disabled crowdworkers and job coaches for people with disabilities) and a survey of 631 adults with disabilities. Our findings establish that people with a variety of disabilities currently participate in the crowd labor marketplace, despite challenges such as crowdsourcing workflow designs that inadvertently prohibit participation by, and may negatively affect the worker reputations...

Publication details
Date: 1 March 2015
Type: Inproceeding
Publisher: ACM – Association for Computing Machinery
Gordon Stewart, Mahanth Gowda, Geoffrey Mainland, Bozidar Radunovic, Dimitrios Vytiniotis, and Cristina Luengo Agulló

Software-defined radio (SDR) brings the flexibility of software to wireless protocol design, promising an ideal platform for innovation and rapid protocol deployment. However, implementing modern wireless protocols on existing SDR platforms often requires careful hand-tuning of low-level code, which can undermine the advantages of software.

Ziria is a new domain-specific language (DSL) that offers programming abstractions suitable for wireless physical (PHY) layer tasks while emphasizing the...

Publication details
Date: 1 March 2015
Type: Inproceeding
Publisher: ACM – Association for Computing Machinery
Indrani Medhi-Thies, Pedro Ferreira, Nakull Gupta, Jacki O’Neill, and Edward Cutrell

With the wide penetration of mobile internet, social networking (SN) systems are becoming increasingly popular in the developing world. However, most SN sites are text heavy, and are therefore unusable by low-literate populations. Here we ask what would an SN application for low-literate users look like and how would it be used? We designed and deployed KrishiPustak, an audio-visual SN mobile application for low-literate farming populations in rural India. Over a four month deployment, 306...

Publication details
Date: 1 March 2015
Type: Proceedings
Publisher: ACM – Association for Computing Machinery
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