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SUNMONTUEWEDTHUFRISAT

Events for the 3rd week of July

  • MSCE Advanced Design & Construction Technology Online Information Session

    Tue, Jul 14, 2020 @ 03:00 PM - 04:00 PM

    Sonny Astani Department of Civil and Environmental Engineering, Viterbi School of Engineering Graduate Admission

    Workshops & Infosessions


    Do you have a passion to influence the design and engineering of the built environment? Excited to use new technologies to create innovative and sustainable solutions?

    Join Associate Professor Dr. David Gerber in USC Viterbi's upcoming webinar about its latest, multi-disciplinary Master's program: Civil Engineering - Advanced Design and Construction Technology.

    Students who have earned or are in the process of earning a Bachelor's degree in engineering, architecture, or any engineering-related discipline are welcome to attend to learn more about applying to this program.

    We look forward to seeing you there.

    Register here!
    Event Password: Fighton1

    More Information: Advanced Design Webinar promo.png

    WebCast Link: https://uscviterbi.webex.com/uscviterbi/onstage/g.php?MTID=e6d6252308b4add0488ddd5461fd7db90

    Audiences: Everyone Is Invited

    Contact: Jessica Viterbi Admission & Student Engagement

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  • PhD Defense - Alana Shine

    Tue, Jul 14, 2020 @ 03:30 PM - 05:30 PM

    Computer Science

    University Calendar


    PhD Defense - Alana Shine
    Tues, Jul 14, 2020
    3:30 PM - 5:30 PM
    Ph.D. Defense - Alana Shine 7/14 3:30 pm Generative graph models subject to global similarity

    Ph.D. Candidate: Alana Shine
    Date: Tuesday, July 14, 2020
    Time: 3:30 pm - 5:30 pm
    Committee: David Kempe (chair), Aram Galstyan, Xiang Ren, Kayla de la Haye
    Title: Generative graph models subject to global similarity
    Zoom: https://usc.zoom.us/j/8333742899

    Abstract:
    This thesis explores how to build generative graph models subject to global features in order to capture connectivity structure. Generative graph models sample from sets of "similar" graphs according to a probability distribution and are important for simulation studies, anomaly detection, and characterizing properties of real world graphs in areas such as social science and network design. The vague notion of generating "similar" graphs has prompted a vast quantity of generative graph models that define similarity according to various graph features. Graph features used include degree distribution, motif counts, and high-level community structure. Typically, these features are local: the property can be segmented into parts with each part being computed entirely from its own subgraph. For example, node degrees. Instead, this work analyzes graph generation subject to global features that require the entire graph to compute. This thesis focuses on global features that capture connectivity because they are critical in determining how information/diseases spread on graphs and simulations of information/disease spread is a prominent application of generative graph models.


    A large class of generative graph models are built from a single real world "target" graph and its features. This thesis presents three new generative graph models that target global similarity through matching (1) connectivity across cuts, (2) random walk behavior, and (3) eigenvalues of the symmetric normalized Laplacian matrix. All three of these global graph features are related to a widely used notion of graph connectivity called conductance. We observe on a number of real world target graphs that the global generative graph models perform superior to benchmark generative graph models on a number of similarity objectives.

    WebCast Link: https://usc.zoom.us/j/8333742899

    Audiences: Everyone Is Invited

    Contact: Lizsl De Leon

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  • Repeating EventVirtual First-Year Admission Information Session

    Tue, Jul 14, 2020 @ 04:00 PM - 05:00 PM

    Viterbi School of Engineering Undergraduate Admission

    Workshops & Infosessions


    Our virtual information session is a live presentation from a USC Viterbi admission counselor designed for high school students and their family members to learn more about the USC Viterbi undergraduate experience.Our session will cover an overview of our undergraduate engineering programs, the application process, and more on student life.Guests will be able to ask questions and engage in further discussion toward the end of the session.

    Please register here!

    Audiences: Everyone Is Invited

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    Contact: Viterbi Admission

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  • NL Seminar-Towards interactive story generation

    Thu, Jul 16, 2020 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Mohit Iyyer, U Mass (Amherst)

    Talk Title: Towards interactive story generation

    Abstract: Story generation is difficult to computationally formalize and evaluate, and there are many important questions to ask when tackling the problem. What should we consider as the base unit of a story e.g., a sentence? a paragraph? a chapter? What kind of data should we use to train these models novels? short stories? overly simplistic mechanically turked paragraphs?) Is any model architecture currently capable of producing long-form narratives that have some semblance of coherent discourse structure, such as plot arcs and character development? When evaluating the outputs of our models, can we do better than just asking people to rate the text based on vaguely defined properties such as enjoyability? In this talk, I'll discuss my lab's ongoing work on story generation by introducing a new dataset and evaluation method that we hope will spur progress in this area, and also describing fine-tuning strategies for large scale Transformers that produce more coherent and stylistically consistent stories. A major bottleneck of these models is their memory and speed inefficiency; as such, I'll conclude by discussing heavily simplified Transformer language models that make training less expensive without sacrificing output quality.


    Biography: Mohit Iyyer is an assistant professor in computer science at the University of Massachusetts Amherst. His research focuses broadly on designing machine learning models for discourse level language generation e.g., for story generation and machine translation), and his group also works on tasks involving creative language understanding e.g., modeling fictional narratives and characters. He is the recipient of best paper awards at NAACL 2016, 2018 and a best demo award at NeurIPS 2015. He received his PhD in computer science from the University of Maryland, College Park in 2017, advised by Jordan Boyd Graber and Hal Daumé III, and spent the following year as a researcher at the Allen Institute for Artificial Intelligence.

    Host: Jon May and Emily Sheng

    More Info: https://nlg.isi.edu/nl-seminar/

    Location: Information Science Institute (ISI) - Meeting ID: 938 5732 1879 /Password: 073790

    Audiences: Everyone Is Invited

    Contact: Petet Zamar

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  • PhD Defense - Haoyu Huang

    Thu, Jul 16, 2020 @ 02:00 PM - 04:00 PM

    Computer Science

    University Calendar


    Ph.D. Defense - Haoyu Huang 7/16 2:00 pm "Nova-LSM: A Distributed, Component-based LSM-tree Data Store"

    Ph.D. Candidate: Haoyu Huang
    Date: Thursday, July 16, 2020
    Time: 2:00 pm - 4:00 pm
    Committee: Shahram Ghandeharizadeh (chair), Murali Annavaram, Jyotirmoy V. Deshmukh
    Title: Nova-LSM: A Distributed, Component-based LSM-tree Data Store
    Zoom: https://usc.zoom.us/j/99943500149
    Google Meet (only if there are issues with Zoom): meet.google.com/ruu-jjiu-fbk

    Abstract:
    The cloud challenges many fundamental assumptions of today's monolithic data stores. It offers a diverse choice of servers with alternative forms of processing capability, storage, memory sizes, and networking hardware. It also offers fast network between servers and racks such as RDMA. This motivates a component-based architecture that separates storage from processing for a data store. This architecture complements the classical shared-nothing architecture by allowing nodes to share each other's disk bandwidth. This is particularly useful with a skewed pattern of access to data by scattering a large file across many disks instead of storing it on one disk.

    This emerging component-based software architecture constitutes the focus of this dissertation. We present design, implementation, and evaluation of Nova-LSM as an example of this architecture. Nova-LSM is a component-based design of LSM-tree using RDMA. Its components implement the following novel concepts. First, they use RDMA to enable nodes of a shared-nothing architecture to share their disk bandwidth and storage. Second, they construct ranges dynamically at runtime to parallelize compaction and boost performance. Third, they scatter blocks of a file across an arbitrary number of disks and use power-of-d to scale. Fourth, the logging component separates availability of log records from their durability. These design decisions provide for an elastic system with well-defined knobs that control its performance and scalability characteristics. We present an implementation of these designs using LevelDB as a starting point. Our evaluation shows Nova-LSM scales and outperforms its monolithic counterpart by several orders of magnitude. This is especially true with workloads that exhibit a skewed pattern of access to data.

    WebCast Link: https://usc.zoom.us/j/99943500149

    Audiences: Everyone Is Invited

    Contact: Lizsl De Leon

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  • Repeating EventVirtual First-Year Admission Information Session

    Thu, Jul 16, 2020 @ 04:00 PM - 05:00 PM

    Viterbi School of Engineering Undergraduate Admission

    Workshops & Infosessions


    Our virtual information session is a live presentation from a USC Viterbi admission counselor designed for high school students and their family members to learn more about the USC Viterbi undergraduate experience.Our session will cover an overview of our undergraduate engineering programs, the application process, and more on student life.Guests will be able to ask questions and engage in further discussion toward the end of the session.

    Please register here!

    Audiences: Everyone Is Invited

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    Contact: Viterbi Admission

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  • Netflix Party

    Fri, Jul 17, 2020 @ 04:00 AM - 06:00 PM

    Viterbi School of Engineering Masters Programs

    Student Activity


    Join fellow engineering students every other Friday on a movie adventure with our Summer Netflix Party Series. Netflix Party allows students to link their viewing experience with each other and even chat along the way!

    Please Note:

    -You must have a Netflix account. Don't have an account? Netflix does offer a free 30 day trial.
    -You must download the Netflix Party extension.
    -The day of the Netflix Party, 20 minutes prior to start, you will need to go to the "Summer Netflix Party Series" path in the Experience Viterbi App to receive your special Netflix Party link.

    Audiences: Everyone Is Invited

    Contact: Juli Legat

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  • Virtual Transfer Information Session

    Fri, Jul 17, 2020 @ 02:00 PM - 03:00 PM

    Viterbi School of Engineering Undergraduate Admission

    Workshops & Infosessions


    Our virtual information session is a live presentation from a USC Viterbi admission counselor designed for prospective transfer students and their family members to learn more about the USC Viterbi undergraduate experience. Our session will cover an overview of our undergraduate engineering programs, the application process, and more on student life. Guests will be able to ask questions and engage in further discussion toward the end of the session.

    Register Here

    Audiences: Everyone Is Invited

    Contact: Viterbi Admission

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