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Events for May 01, 2025
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Alfred E.Mann Department of Biomedical Engineering - Seminar series
Thu, May 01, 2025 @ 09:30 AM - 10:30 AM
Alfred E. Mann Department of Biomedical Engineering
Conferences, Lectures, & Seminars
Speaker: Feng Yan, M.D. , Chief Neurosurgeon at the Second Affiliated Hospital of Zhejiang University School of Medicine, and Associate Professor at Zhejiang University
Talk Title: CAR-T Cell Therapy in Glioma: Clinical Insights and Challenges."
Abstract: Glioblastoma(Glioma) is one of the most aggressive primary brain tumors, with a medianoverall survival of less than two years despite standard treatments. Theimmunosuppressivetumor microenvironment, antigen heterogeneity, and the bloodbrain barrier are significant hurdles that limit the efficacy of CAR-T cells in GBM. Innovative strategies, including multi-antigen targeting and combination therapies, are being explored to enhance CAR-T cell persistence and function within the tumor milieu. In this presentation, I will delve into the current state of CAR-T therapy for gliomas, share insights from recent clinical cases, and discuss the challenges that lie ahead. Our goal is to shed light on the path forward, aiming to improve therapeutic outcomes for patients battling these formidable tumors.
Biography: Dr. Feng Yan is Chief Neurosurgeon at the Second Affiliated Hospital of Zhejiang University School of Medicine, Ph.D. advisor, and Associate Professor at Zhejiang University. He also serves as Vice President of Huzhou Affiliated Hospital of Zhejiang University. Dr. Yan specializes in the surgical management of brain tumors, including gliomas, meningiomas, and vestibular schwannomas, with expertise in advanced microsurgical and minimally invasive techniques. His research currently centers on CAR-T therapy and related clinical trials, and he is the recipient of numerous grants from China’s National Natural Science Foundation, which are equivalent to R01 awards from the NIH in the US. He has completed visiting scholar fellowships at Massachusetts General Hospital, Harvard Medical School, and UCLA. His work has been published in leading journals such as Theranostics, Journal of Advanced Research, and J Neuroinflammation. Dr. Yan is an active member of the American Association of Neurological Surgeonsï¼ÂAANSï¼Âand several national neurosurgical societies.
Host: Peter Yingxiao Wang- Chair of Alfred E. Mann Department of Biomedical Engineering
Location: Corwin D. Denney Research Center (DRB) - 145
Audiences: Everyone Is Invited
Contact: Carla Stanard
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
NL Seminar -LLMs Do Not Have Human-Like Working Memories
Thu, May 01, 2025 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Jen-Tse (Jay) Huang, Johns Hopkins University
Talk Title: LLMs Do Not Have Human-Like Working Memories
Abstract: Meeting hosts only admit on-line guests that they know to the Zoom meeting. Hence, you’re highly encouraged to use your USC account to sign into Zoom. If you’re an outside visitor, please inform us at (nlg-seminar-host(at)isi.edu) to make us aware of your attendance so we can admit you. Specify if you will attend remotely or in person at least one business day prior to the event. Provide your: full name, job title and professional affiliation and arrive at least 10 minutes before the seminar begins. If you do not have access to the 6th Floor for in-person attendance, please check in at the 10th floor main reception desk to register as a visitor and someone will escort you to the conference room location. Join Zoom Meetinghttps://usc.zoom.us/j/93233836050?pwd=cCKn1GHZ6XeCK1sZa9ZL1h3ahyyf5h.1 Meeting ID: 932 3383 6050 Passcode: 804448
Human working memory is an active cognitive system that enables not only the temporary storage of information but also its processing and utilization. Without working memory, individuals may produce unreal conversations, struggle with tasks requiring mental reasoning, and exhibit self-contradiction. In this presentation, we demonstrate that Large Language Models (LLMs) lack this human-like cognitive ability, posing a significant challenge to achieving artificial general intelligence. We validate this claim through three experiments: (1) Number Guessing Game, (2) Yes or No Game, and (3) Math Magic. Experimental results on several model families indicate that current LLMs fail to exhibit human-like cognitive behaviors in these scenarios. By highlighting this limitation, we aim to encourage further research in developing LLMs with improved working memory capabilities.
Biography: Jen-Tse (Jay) Huang is a postdoctoral researcher at the Center for Language and Speech Processing (CLSP) at Johns Hopkins University, working with Mark Dredze. He received his Ph.D. in Computer Science and Engineering from the Chinese University of Hong Kong and his B.Sc. from Peking University. His research explores the evaluation of large language models (LLMs), both as individual agents and as collectives in multi-agent systems, through the lens of social science. His work has been published in top-tier AI venues, including an oral presentation at ICLR 2024. He actively serves as a reviewer for major conferences and journals such as ICML, NeurIPS, ICLR, ACL, CVPR, TMLR and Nature Human Behaviour, and has been recognized as an Outstanding Reviewer at NeurIPS 2024 and EMNLP 2024.
Host: Jonathan May and Katy Felkner
More Info: https://usc.zoom.us/j/93233836050?pwd=cCKn1GHZ6XeCK1sZa9ZL1h3ahyyf5h.1
Webcast: https://www.isi.edu/research-groups-nlg/nlg-seminars/Location: Information Science Institute (ISI) - Conf Rm#689
WebCast Link: https://www.isi.edu/research-groups-nlg/nlg-seminars/
Audiences: Everyone Is Invited
Contact: Pete Zamar
Event Link: https://usc.zoom.us/j/93233836050?pwd=cCKn1GHZ6XeCK1sZa9ZL1h3ahyyf5h.1
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.
