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Events for the 3rd week of August
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MS Group Advisement Session - NEW CS/INF Students
Mon, Aug 14, 2017 @ 10:00 AM - 11:30 AM
Thomas Lord Department of Computer Science
Workshops & Infosessions
This group advisement session is for NEW Fall 2017 incoming students to the CS/INF Master's programs. New students should attend at least one of these sessions to meet with advisement staff. One-on-one time with advisors will be available toward the end of the group advisement session.
Location: Henry Salvatori Computer Science Center (SAL) - 101
Audiences: Graduate
Contact: Ryan Rozan
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MS Group Advisement Session - NEW & CONTINUING CS/INF StudentsMon, Aug 14, 2017 @ 02:00 PM - 04:00 PM
Thomas Lord Department of Computer Science
Workshops & Infosessions
This group advisement session is for NEW Fall 2017 incoming students to the CS/INF Master's programs. New students should attend at least one of these sessions to meet with advisement staff. CONTINUING students are also welcome to attend this session. One-on-one time with advisors will be available toward the end of the group advisement session.
Location: Henry Salvatori Computer Science Center (SAL) - 101
Audiences: Graduate
Contact: Ryan Rozan
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MS Group Advisement Session - NEW CS SPECIALIZATION Students
Tue, Aug 15, 2017 @ 10:00 AM - 11:30 AM
Thomas Lord Department of Computer Science
Workshops & Infosessions
This group advisement session is for NEW Fall 2017 incoming MS students to the CS SPECIALIZATION programs such as Data Science, Game Development, Software Engineering, Intelligent Robotics, Computer Networks, Computer Security, and Multimedia. New students should attend at least one of these sessions to meet with advisement staff. One-on-one time with advisors will be available toward the end of the group advisement session.
Location: Mark Taper Hall Of Humanities (THH) - 201
Audiences: Graduate
Contact: Ryan Rozan
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MS Group Advisement Session - NEW & CONTINUING CS/INF Students
Tue, Aug 15, 2017 @ 02:00 PM - 04:00 PM
Thomas Lord Department of Computer Science
Workshops & Infosessions
This group advisement session is for NEW Fall 2017 incoming students to the CS/INF Master's programs. New students should attend at least one of these sessions to meet with advisement staff. CONTINUING students are also welcome to attend this session. One-on-one time with advisors will be available toward the end of the group advisement session.
Location: Henry Salvatori Computer Science Center (SAL) - 101
Audiences: Graduate
Contact: Ryan Rozan
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MS Group Advisement Session - NEW CS SCIENTISTS & ENGINEERS Students
Wed, Aug 16, 2017 @ 10:00 AM - 11:30 AM
Thomas Lord Department of Computer Science
Workshops & Infosessions
This group advisement session is for NEW Fall 2017 incoming MS students to the CS SCIENTISTS & ENGINEERS specialization. New students should attend at least one of these sessions to meet with advisement staff. One-on-one time with advisors will be available toward the end of the group advisement session.
Location: Henry Salvatori Computer Science Center (SAL) - 101
Audiences: Graduate
Contact: Ryan Rozan
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PhD Defense - Dingxiong Deng
Wed, Aug 16, 2017 @ 01:00 PM - 03:00 PM
Thomas Lord Department of Computer Science
University Calendar
PhD Candidate: Dingxiong Deng
Committee: Cyrus Shahabi (Chair), Craig Knoblock and Ketan Savla.
Title: Spatiotemporal Traffic Forecasting in Road Networks
Time: August 16 (Wednesday) 1:00-3:00pm
Location: SAL 213
Abstract:
Real-time traffic forecasting from high-fidelity spatiotemporal traffic sensor datasets is an important problem for intelligent transportation systems and sustainability. However, it is challenging due to the complex topological dependencies and high dynamism associated with changing road conditions.
To address these challenges, we explore two different methods of incorporating the spatiotemporal correlations between sensors in the road network. We first propose a Latent Space Model for Road Networks (LSM-RN) that combines the spatial and temporal correlations of sensors. In particular, given a series of road network snapshots, we learn the attributes of sensors in latent spaces to estimate how traffic patterns are formed and evolved. We present an incremental online algorithm which sequentially and adaptively learns the latent attributes from the temporal graph changes, thus enabling real-time traffic forecasting. However, LSM-RN only utilizes the most recent graph snapshots as inputs and does not distinguish the underlying traffic situations, hence it does not perform well in long term traffic forecasting. To address this issue, we further explore the commonalities across multiple traffic sensors who behave the same in a specific traffic situation. We show that building models based on the shared traffic situations across sensors can help improve the prediction accuracy. We propose a Multi-Task Learning (MTL) framework that aims to first automatically identify the traffic situations and then simultaneously build one forecasting model for similar behaving sensors per traffic situation. We demonstrated that our proposed framework outperforms all the best traffic prediction approaches in both short and long term predictions, respectively.
Location: Henry Salvatori Computer Science Center (SAL) - 213
Audiences: Everyone Is Invited
Contact: Lizsl De Leon
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MS Group Advisement Session - NEW & CONTINUING CS/INF Students
Wed, Aug 16, 2017 @ 02:00 PM - 04:00 PM
Thomas Lord Department of Computer Science
Workshops & Infosessions
This group advisement session is for NEW Fall 2017 incoming students to the CS/INF Master's programs. New students should attend at least one of these sessions to meet with advisement staff. CONTINUING students are also welcome to attend this session. One-on-one time with advisors will be available toward the end of the group advisement session.
Location: Henry Salvatori Computer Science Center (SAL) - 101
Audiences: Graduate
Contact: Ryan Rozan
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MS Group Advisement Session - CONTINUING CS/INF Students
Thu, Aug 17, 2017 @ 10:00 AM - 11:30 AM
Thomas Lord Department of Computer Science
Workshops & Infosessions
This group advisement session is for CONTINUING students in the CS/INF Master's programs. One-on-one time with advisors will be available toward the end of the group advisement session.
Location: Henry Salvatori Computer Science Center (SAL) - 101
Audiences: Graduate
Contact: Ryan Rozan
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Magnetic Particle Imaging as a Deep-Penetrating, Quantitative, Positive-Contrast, & Noninvasive Imaging Method with Micromolar Sensitivity
Thu, Aug 17, 2017 @ 10:00 AM - 11:00 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Professor Steven Conolly, UC Berkeley Bioengineering & EECS
Talk Title: Magnetic Particle Imaging as a Deep-Penetrating, Quantitative, Positive-Contrast, & Noninvasive Imaging Method with Micromolar Sensitivity
Series: Medical Imaging Seminar Series
Abstract:
Host: Professor Krishna Nayak
Location: 248
Audiences: Everyone Is Invited
Contact: Talyia White
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Informatics New Student Orientation
Thu, Aug 17, 2017 @ 01:30 PM - 03:00 PM
Thomas Lord Department of Computer Science
Workshops & Infosessions
This orientation session is required for the new incoming Fall 2017 Informatics students in the following programs: Cyber Security Engineering, Data Informatics, Spatial Informatics, and Communication Informatics. Students who started their Informatics programs in Spring 2017 are also welcome to attend. Meet Informatics faculty, staff, and fellow students and receive an overview of the Informatics degree programs and important information.
Location: Grace Ford Salvatori Hall Of Letters, Arts & Sciences (GFS) - 106
Audiences: Graduate
Contact: Ryan Rozan
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Viterbi New Student Welcome Luau
Thu, Aug 17, 2017 @ 02:00 PM - 04:00 PM
USC Viterbi School of Engineering, Viterbi School of Engineering Student Affairs
Student Activity
Viterbi School of Engineering welcomes our incoming first-year students at our New Student Luau. The luau will be held in the Epstein Family Plaza (E-Quad) located between Biegler Hall (BHE) and Neely Petroleum Engineering Building (PCE).
This is a perfect opportunity to meet your fellow students, as well as our faculty and staff- including Dean Yortsos. You can also enjoy some awesome desserts and swag. Best of all, you might win one of several great prizes!
Location: Epstein Family Plaza (E-Quad)
Audiences: Undergrad
Contact: Christina Martin
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MS Group Advisement Session - NEW & CONTINUING CS/INF Students
Thu, Aug 17, 2017 @ 02:00 PM - 04:00 PM
Thomas Lord Department of Computer Science
Workshops & Infosessions
This group advisement session is for NEW Fall 2017 incoming students to the CS/INF Master's programs. New students should attend at least one of these sessions to meet with advisement staff. CONTINUING students are also welcome to attend this session. One-on-one time with advisors will be available toward the end of the group advisement session.
Location: Henry Salvatori Computer Science Center (SAL) - 101
Audiences: Graduate
Contact: Ryan Rozan
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Synchronization and Localization in Wireless Networks
Thu, Aug 17, 2017 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Bernhard Etzlinger, Johannes Kepler University and Linz Austria
Talk Title: Synchronization and Localization in Wireless Networks
Abstract: Several widely-used radio localization systems, such as GPS and cellular localization, rely on time-of-flight measurements of data-bearing signals to determine inter-radio distances. For such measurements to be meaningful, accurate synchronization is required. Synchronization becomes more important in emerging applications for large cooperative wireless networks, and has led to active research in the area of synchronization and localization. State-of-the-art solutions either adopt a two-step, first synchronize then localize paradigm, or perform centralized, simultaneous localization and synchronization that impose stringent constraints on the network topology. In this talk, we introduce a framework for distributed simultaneous localization and synchronization that overcomes these limitations. The framework consists of a Bayesian factor graph formulation for cooperative simultaneous localization and synchronization, and is suited for wireless networks with mobile nodes and time-varying clock parameters. Building on this factor graph, a distributed belief propagation algorithm is developed that allows for real-time operation and is suitable for a time-varying network connectivity. While numerical results indicate a similar localization accuracy as achieved in perfectly synchronized networks, demonstrator implementations validate the robustness of the algorithm in practice.
Biography: Bernhard Etzlinger received the Dipl.-Ing. (M.Sc.) degree in mechatronics in 2010 and his Dr.techn. (Ph.D.) degree in technical sciences in 2016, both with distinction from the Johannes Kepler University Linz, Linz, Austria. Since 2016, he has been with the Institute of Communication Systems and RF-Systems, Johannes Kepler University Linz, where he is currently a postdoctoral researcher. In 2010, he worked at Fraunhofer FKIE, Wachtberg, Germany. During his Ph.D. studies, he was a visiting student with the Department of Signals and Systems, Chalmers University of Technology, Gothenburg, Sweden, and with the Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA. Currently he is visiting scholar at the Ming Hsieh Department of Electrical Engineering, University of Southern California. Dr. Etzlinger is the recipient of the 2017 Upper-Austrian innovation prize for achievements on a secure communication interface for real-time power-line protection. He has also served as a TPC member for the 2017 VTC Spring Conference and as a session chair at the Asilomar Conference in 2015. Dr. Etzlinger's research interests include statistical signal processing for receiver design, cooperative network clock synchronization and localization, and wireless control systems.
Host: Urbashi Mitra, ubli@usc.edu, EEB 536, x04667
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 539
Audiences: Everyone Is Invited
Contact: Gerrielyn Ramos
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MS Group Advisement Session - NEW CS/INF Students
Fri, Aug 18, 2017 @ 10:00 AM - 11:30 AM
Thomas Lord Department of Computer Science
Workshops & Infosessions
This group advisement session is for NEW Fall 2017 incoming students to the CS/INF Master's programs. New students should attend at least one of these sessions to meet with advisement staff. One-on-one time with advisors will be available toward the end of the group advisement session.
Location: Grace Ford Salvatori Hall Of Letters, Arts & Sciences (GFS) - 118
Audiences: Graduate
Contact: Ryan Rozan
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MS Group Advisement Session - NEW & CONTINUING CS/INF Students
Fri, Aug 18, 2017 @ 02:00 PM - 04:00 PM
Thomas Lord Department of Computer Science
Workshops & Infosessions
This group advisement session is for NEW Fall 2017 incoming students to the CS/INF Master's programs. New students should attend at least one of these sessions to meet with advisement staff. CONTINUING students are also welcome to attend this session. One-on-one time with advisors will be available toward the end of the group advisement session.
Location: Grace Ford Salvatori Hall Of Letters, Arts & Sciences (GFS) - 118
Audiences: Graduate
Contact: Ryan Rozan
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NL Seminar-Neural Creative Language Generation
Fri, Aug 18, 2017 @ 03:00 PM - 04:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Marjan Ghazvininejad, USC/ISI
Talk Title: Neural Creative Language Generation
Series: Natural Language Seminar
Abstract: Natural language generation NLG is a well studied and still very challenging field in natural language processing. One of the less studied NLG tasks is the generation of creative texts such as jokes, puns, or poems. Multiple reasons contribute to the difficulty of research in this area. First, no immediate application exists for creative language generation. This has made the research on creative NLG extremely diverse, having different goals, assumptions, and constraints. Second, no quantitative measure exists for creative NLG tasks. Consequently, it is often difficult to tune the parameters of creative generation models and drive improvements to these systems. Finally, rule based systems for creative language generation are not yet combined with deep learning methods.
In this work, we address these challenges for poetry generation which is one of the main areas of creative language generation. We introduce password poems as a novel application for poetry generation. Furthermore, we combine finite-state machinery with deep learning models in a system for generating poems for any given topic. We introduce a quantitative metric for evaluating the generated poems and build the first interactive poetry generation system that enables users to revise system generated poems by adjusting style configuration settings like alliteration, concreteness and the sentiment of the poem.
In order to improve the poetry generation system, we decide to borrow ideas from human literature and develop a poetry translation system. We propose to study human poetry translation and measure the language variation in this process. we will study how human poetry translation is different from human translation in general and whether a translator translates poetry more freely. Then we will use our findings to develop a machine translation system specifically for translating poetry and proposing metrics for evaluating the quality of poetry translation.
Biography: Marjan Ghazvininejad is a PhD student at ISI working with Professor Kevin Knight.
Host: Kevin Knight
More Info: http://nlg.isi.edu/nl-seminar/
Location: Information Science Institute (ISI) - 11th Flr Conf Rm # 1135, Marina Del Rey
Audiences: Everyone Is Invited
Contact: Peter Zamar
Event Link: http://nlg.isi.edu/nl-seminar/
