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Events for February 28, 2023

  • CS Colloquium: Yang Liu (UC Santa Cruz) - Reliable Machine Learning: From Data to Deployment

    Tue, Feb 28, 2023 @ 11:00 AM - 12:00 PM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars

    Speaker: Yang Liu, UC Santa Cruz

    Talk Title: Reliable Machine Learning: From Data to Deployment

    Series: CS Colloquium

    Abstract: Developing reliable machine learning systems presents challenges in handling biased input data and the consequences of deployment. For instance, a machine learning model for question answering (e.g., ChatGPT) can encode mistakes and biases that persist in the database; an unaware machine learning-powered decision-maker (e.g., for loan approval) can automatically deny people the chance of recourse, resulting in a decline of trust between human and machines; deploying a sequence of myopically optimized models may create an unfair "echo chamber" for users. The list goes on. This talk presents three challenges to building a reliable machine learning system: (1) developing fair and robust algorithms with biased training data, (2) auditing the dynamic interactions between users and machine learning models, and (3) maximizing the long-term welfare of machine learning ecosystems with efficient interventions. We will discuss our group's efforts in addressing these challenges.

    This lecture satisfies requirements for CSCI 591: Research Colloquium

    Biography: Yang Liu is an Assistant Professor of Computer Science and Engineering at UC Santa Cruz (2019 - present). He also leads the machine learning fairness team at ByteDance AI Lab. He was previously a postdoctoral fellow at Harvard University (2016 - 2018). In 2015, he received his Ph.D. degree from the Department of EECS at the University of Michigan, Ann Arbor. His research focuses on developing fair and robust machine learning algorithms to tackle the challenges of biased and shifting data. He is a recipient of the NSF CAREER Award. He has been selected to participate in several high-profile projects, including NSF-Amazon Fairness in AI, DARPA SCORE, and IARPA HFC. His research has observed deployments with FICO and Amazon. His recent work has been recognized with four best paper awards at relevant workshops.

    Host: Vatsal Sharan

    Location: Olin Hall of Engineering (OHE) - 132

    Audiences: Everyone Is Invited

    Contact: Assistant to CS chair

  • CEE Seminar Series

    Tue, Feb 28, 2023 @ 11:30 AM - 12:30 PM

    Sonny Astani Department of Civil and Environmental Engineering

    Conferences, Lectures, & Seminars

    Speaker: Matei Gerogescu, Arizona State University

    Talk Title: Utility of Regional Climate Modeling for urban climate, energy, and agricultural applications

    Abstract: see attached

    Host: CEE

    Webcast: https://usc.zoom.us/j/95242807214

    More Information: Georgescu Announcement.docx

    Location: Kaprielian Hall (KAP) - 209

    WebCast Link: https://usc.zoom.us/j/95242807214

    Audiences: Everyone Is Invited

    Contact: Salina Palacios

  • PhD Candidate: Shichen Liu

    Tue, Feb 28, 2023 @ 03:00 PM - 04:00 PM

    Thomas Lord Department of Computer Science

    University Calendar

    Title: Learning to Optimize the Geometry and Appearance from Images.

    The ability to infer geometry and appearance from images impacts various applications such as AR/VR, autonomous driving, and more. Compared to traditional methods, deep convolutional neural networks have proven to be more robust and accurate. However, the practical use of deep learning in these applications still faces three major challenges: (1) the acquisition of 3D training data; (2) the development of a fast, robust, and accurate 3D vision framework; (3) the integration of complex 3D representations into the neural network.

    To address these challenges, my research focuses on optimization techniques in the context of deep learning. Specifically, when paired 2D and 3D data is not available, we propose a differentiable rendering framework that allows neural networks to learn 3D shapes directly from 2D images. On the other hand, when full supervision is available, we develop a framework that trains a neural network to optimize the target representation and demonstrate the performance on the vanishing point detection task. Finally, we explore the face avatar creation task and propose dense visual-semantic correlation on top of a semantically-aligned UV space to effectively integrate complex 3D representations into the neural optimization framework. Our neural optimization techniques help to develop practical 3D computer vision systems.

    Committee members are Randall Hill, Andrew Nealen, Aiichiro Nakano, Stefanos Nikolaidis, and Yajie Zhao.

    Location: https://usc.zoom.us/j/3154287574.

    Audiences: Everyone Is Invited

    Contact: Asiroh Cham

    Event Link: https://usc.zoom.us/j/3154287574

  • Epstein Institute - ISE 651 Seminar

    Tue, Feb 28, 2023 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars

    Speaker: Dr. Abigail Horn, Research Assistant Professor of Epstein ISE; Research Lead, USC Viterbi ISI

    Talk Title: Tracing the Source of Large-Scale Outbreaks of Foodborne Contamination Across Complex Food Supply Networks

    Host: Prof. Suvrajeet Sen

    More Information: February 28, 2023.pdf

    Location: Ethel Percy Andrus Gerontology Center (GER) - GER 206

    Audiences: Everyone Is Invited

    Contact: Grace Owh

  • Boeing Freshman Design Challenge Information Session

    Tue, Feb 28, 2023 @ 06:00 PM - 07:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions

    Boeing Freshman Design Challenge Information Session

    Date: Tuesday, February 28th 2023
    Time: 6:00 p.m. - 7:00 p.m.
    Location: Zoom RSVP HERE

    This is a virtual information session for the Boeing Freshman Design Challenge, which will be hosted on-campus on 03/07/2023.

    As the worlds leading aerospace company, Boeing is the worlds largest manufacturer of commercial airplanes and military aircraft. To continue this dominance, Boeing needs the young minds of tomorrow to provide innovative, new perspectives.

    Boeing is hosting a design challenge to engage with the Freshmen class at USC. In this competition, teams of three or four freshmen will have two hours to work together and design a solution to a typical, real-world engineering problem.

    During this unique, resume-building experience, students will have the opportunity to showcase their talents and network. Boeing engineers and executives will be available to act as mentors and judges.

    The Freshman Design Challenge will be in-person and food will be provided. Prizes are provided to top participants.

    If interested, drop in to this required virtual information session. Feel free to invite any freshman engineers to this event who may be interested, regardless of major!

    The design challenge will be held 6-9pm Tuesday, March 7th, 2023.

    If you have any questions about the event feel free to email: alan.c.simonini@boeing.com

    Location: Zoom, please see below for details on how to RSVP

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections