• Advanced Institute of Engineering and Technology (AVITECH)

  • Seminars

    December 09, 2019: Prof. Hady Lauw, Preference Learning from Multimodal Data

    With pervasive digitization, two trends are emerging. One is the proliferation of choices in our consumption of both physical and digital goods and services. The other is the “datafication” of our behaviors, whereby users’ preferences increasingly manifest through multiple modalities of preference signals, e.g., consumptions, ratings, reviews, networks, images. The first points to the challenge of helping users to navigate the ever-expanding universe of options. The second points to the opportunity of harnessing data in modeling user preferences. In this talk, we provide an overview of our research in learning and modeling user preferences from multi-modal preference signals.

    Speaker: Prof. Hady Lauw, Singapore Management Univ.

    Time: 2019-12-09

    Venue: E3-212, 144 Xuan Thuy, Cau Giay, Hanoi


    Hady Lauw is an Associate Professor of Information Systems at Singapore Management University, as well as NRF Fellow of the Singapore National Research Foundation. Formerly, he served as postdoctoral researcher at Microsoft Research in Silicon Valley, as well as scientist at A*STAR’s Institute for Infocomm Research. Earlier, he received his Ph.D. from Nanyang Technological University. He is currently serving as the Chair of the Singapore Chapter of ACM SIGKDD. For more information, see http://www.hadylauw.com.


    February 2, 2024: Dr. Khoa D. Doan (Vin Univeristy) Toward Reliable and Practical Machine Learning Applications

    While Machine Learning (ML) has rapidly transformed several domains and applications with incredible successes, there are also important areas where the progress is significantly slower. Specifically, there exists a widened complexity gap between the methods currently investigated in research and those used in practice in these areas. One reason is that many algorithms, despite achieving […]

    February 2, 2024: Prof. Heng Ji (University of Illinois at Urbana-Champaign), Combating with Misinformation and Cancer: A Unified Multimodal AI Approach to Healthy and Happy Life

    A research overview of ongoing research projects, especially focusing on two that are most related to the VinUni-UIUC Smart Health Center: (1) Misinformation Detection and Trustworthy Large Language Models; (2) Joint Natural Language and Molecule Learning for Drug Discovery. Unsurprisingly these two seemingly different research problems can be tackled with a unified approach based on […]

    January 11, 2024: Dr. Le Duc Trong (FIT-UET) Resilient Multimodal Learning for Multimodal Emotion Recognition in the Presence of Incomplete Modalities

    Multimodal Emotion Recognition in Conversation (Multimodal ERC) is a critical area of research for interpreting human communication in diverse applications. Nevertheless, the persistent issue of uncertain missing modalities poses a major hurdle, hampering the development of robust Multimodal ERC models. Existing approaches face limitations in effectively leveraging a fusion of diverse data modalities encompassing audio, […]