BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//College of Arts & Sciences - ECPv6.15.18//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://cas.uncg.edu
X-WR-CALDESC:Events for College of Arts & Sciences
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20220313T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20221106T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20230312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20231105T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20240310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20241103T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20250309T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20251102T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20260308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20261101T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250922T100000
DTEND;TZID=America/New_York:20250922T110000
DTSTAMP:20260410T082549
CREATED:20250911T192304Z
LAST-MODIFIED:20250911T192401Z
UID:10000650-1758535200-1758538800@cas.uncg.edu
SUMMARY:CS Colloquium Talk: “Data and AI Markets: A Data Science Perspective” by Prof. Jian Pei
DESCRIPTION:The Department of Computer Science is delighted to invite you to a distinguished talk titled\, “Data and AI Markets: A Data Science Perspective” by Prof. Jian Pei\, the Arthur S. Pearse Distinguished Professor and Chair of the Department of Computer Science at Duke University. With over 140\,000 citations on Google Scholar\, he is one of the world’s leading scholars in data mining and database fields. Don’t miss this opportunity to gain insights from a top scholar! \n\n\n\nAbstract of Talk: As data and AI become central to innovation across industries\, unlocking their full value remains a grand challenge. This talk explores the emerging paradigm of data and AI markets as a transformative approach to address the technical\, economic\, and societal complexities of data sharing\, model integration\, and collaborative analytics. Unlike ad hoc or siloed exchanges\, data and AI markets provide scalable\, systematic mechanisms for valuation\, privacy preservation\, trustworthiness\, and incentivization. Through real-world examples from healthcare\, sustainability\, and federated learning\, the talk illustrates how data ecosystems can evolve from isolated assets to dynamic\, service-oriented platforms. Drawing from recent advances in Shapley value computation\, game-theoretic valuation\, and privacy-aware mechanisms\, it highlights novel methods for quantifying contribution and ensuring fairness. It also presents system-level innovations like Dealer\, which enable trustworthy\, privacy-preserving marketplaces. The vision is clear: by co-designing infrastructure\, algorithms\, and economic models\, we can build data and AI markets that are equitable\, efficient\, and impactful. This talk shares both foundational ideas and cutting-edge developments\, offering a data science perspective on how to operationalize cooperation in the age of AI. \n\n\n\nBiography:Dr. Jian Pei is the Arthur S. Pearse Distinguished Professor and Chair of the Department of Computer Science\, Trinity College of Arts and Sciences\, at Duke University\, holding additional primary appointments in Departments of Biostatistics & Bioinformatics (School of Medicine) and Electrical and Computer Engineering (Pratt School of Engineering).   Dr. Pei is acclaimed for developing influential data mining algorithms such as FP-growth and PrefixSpan\, widely adopted in both academia and industry.  His interdisciplinary work spans applications in healthcare\, bioinformatics\, social networks\, and equitable AI\, aiming to develop fair and transparent data science solutions for societal benefit. With over 300 publications and about 140\,000 citations\, he ranks among the most cited authors in his field.  His accolades include the 2017 ACM SIGKDD Innovation Award and the 2015 SIGKDD Service Award\, recognizing his technical excellence and leadership in the data mining community.  Dr. Pei is a Fellow of the ACM\, the IEEE\, the Royal Society of Canada\, and the Canadian Academy of Engineering.  He is a former chair of ACM SIGKDD\, the editor-in-chief of ACM Transactions of Knowledge Discovery from Data\, and a former editor-in-chief of IEEE Transactions of Knowledge and Data Engineering. \n\n\n\nFree and open to the public. \n\n\n\nLocation: Stone Building 204
URL:https://cas.uncg.edu/event/cs-colloquium-talk-data-and-ai-markets-a-data-science-perspective-by-prof-jian-pei/
ATTACH;FMTTYPE=image/jpeg:https://cas.uncg.edu/wp-content/uploads/2025/09/Prof_JianPei_headshot_Li-Xiaochen.jpg
ORGANIZER;CN="UNCG Department of Computer Science":MAILTO:ComputerScience@uncg.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231120T100000
DTEND;TZID=America/New_York:20231120T110000
DTSTAMP:20260410T082549
CREATED:20231024T152727Z
LAST-MODIFIED:20231030T170946Z
UID:10000347-1700474400-1700478000@cas.uncg.edu
SUMMARY:Keeping it safe: privacy-protecting data sharing for AI
DESCRIPTION:Join the UNCG Department of Computer Science for this presentation in their colloquium series! \n\n\n\nSharing individually contributed data is a cornerstone of modern artificial intelligence.For example\, large language models (LLMs) were trained on hundreds of billion tokens scraped from the internet. However\, the data generated by individual users contain sensitive information\, the disclosure of which may incur serious privacy concerns.  \n\n\n\nIn this talk\, Dr. Liyue Fan of UNC Charlotte will discuss her research efforts to enable broad data sharing\, while protecting individual privacy.  \n\n\n\nA series of studies will be presented to show the research work that provides rigorous\, provable privacy guarantees while retaining the utility of the data. Future research opportunities in privacy-protecting artificial intelligence will also be shared. \n\n\n\nJoin us in Moore Humanities & Research Building (MHRA)\, Room 331! Free and open to the public.
URL:https://cas.uncg.edu/event/department-of-computer-science-colloquium-series-keeping-it-safe-privacy-protecting-data-sharing-for-ai/
LOCATION:UNCG’s Moore Humanities and Research Administration (MHRA) Building\, 1111 Spring Garden St\, Greensboro\, NC\, 27412
CATEGORIES:Department of Computer Science Colloquium Series
ATTACH;FMTTYPE=image/jpeg:https://cas.uncg.edu/wp-content/uploads/2023/10/Speaker-headshot_Andi-Smith.jpg
ORGANIZER;CN="UNCG Department of Computer Science":MAILTO:ComputerScience@uncg.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231110T100000
DTEND;TZID=America/New_York:20231110T110000
DTSTAMP:20260410T082550
CREATED:20231024T150304Z
LAST-MODIFIED:20231030T171226Z
UID:10000346-1699610400-1699614000@cas.uncg.edu
SUMMARY:Computer Science Colloquium By Dr. Jiangwen Sun
DESCRIPTION:Join the Computer Science Department for this presentation in their colloquium series! Dr. Jiangwen Sun will present\, “Impact of different loss functions in training DNN for understanding regulatory roles of DNA sequence in DNA methylation.” \n\n\n\nFunctonal genomic events\, such as DNA methylation\, regulate gene expression by moderating chromatin state\, playing critical roles in various important biological processes\, such as X-chromosome inactivation and aging.  \n\n\n\nTheir aberrant activities have been linked to several diseases such as cancers\, immunological disorders\, and neurological disorders.  \n\n\n\nDr. Sun will present the results from one of his recent efforts in this direction\, training deep neural networks to predict DNA methylation from DNA sequence.  \n\n\n\nWe studied the impact of the use of different loss functions\, specifically cross-entropy loss and hinge loss in network training on various aspects of the trained network\, including the prediction performance\, learned sequence patterns\, and uncertainly in predictions. \n\n\n\nKeep an eye on the Department of Computer Science Colloquium Series here! Free and open to the public.
URL:https://cas.uncg.edu/event/department-of-computer-science-colloquium-series-impact-of-different-loss-functions-in-training-dnn-for-understanding-regulatory-roles-of-dna-sequence-in-dna-methylation/
LOCATION:Petty Science Building\, Room 213\, 317 College Ave\, Greensboro\, NC\, 27407\, United States
CATEGORIES:Department of Computer Science Colloquium Series
ATTACH;FMTTYPE=image/jpeg:https://cas.uncg.edu/wp-content/uploads/2023/10/Headshot-Sun_Andi-Smith.jpg
ORGANIZER;CN="UNCG Department of Computer Science":MAILTO:ComputerScience@uncg.edu
END:VEVENT
END:VCALENDAR