研讨会信息
🎤 Speaker: Dr. Ninghao LIU
Assistant Professor,
Department of Computing at The Hong Kong Polytechnic University
📰 Title: Knowledge-based Enhancement of Foundation Models
⏰ Time: 1:30-2:20 PM, BJ Time
📆 Date: 21 Nov., 2025 (Fri.)
📍 Venue: Hall C, GZ Campus
Online Zoom link:
https://hkust-gz-edu-cn.zoom.us/j/96983408548?pwd=moZgiftuonqonX6aTbOjTPDbkKRCWe.1
Zoom ID: 969 8340 8548
Passcode: 823262
研讨会概要
Abstract
Foundation models, including Large Language Models (LLMs) and Vision-language Models (VLMs), demonstrate exceptional performance across various tasks but face challenges in integrating knowledge efficiently and effectively. These challenges stem primarily from the need for specialized domain knowledge, such as that in medical fields, and the continual evolution of real-world knowledge which can render the information within model parameters obsolete. This talk will present recent advancements from my research group aimed at enhancing foundation models with knowledge. We treat knowledge at three levels: embeddings, graphs, and data. I will discuss strategies for effectively retrieving task-relevant knowledge, integrating this knowledge to address complex questions, and instilling multi-modal knowledge to boost model performance and explainability.
分享者简介
Dr. Ninghao LIU
Assistant Professor,
Department of Computing at The Hong Kong Polytechnic University
Dr. Ninghao Liu is an assistant professor in the Department of Computing at The Hong Kong Polytechnic University. He was an assistant professor in the School of Computing at the University of Georgia. His research work spans Explainable AI (XAI), Large Foundation Models, and Graph Mining. He has published papers at recognized venues such as NeurIPS, ICLR, KDD, WWW, ICML, CIKM, etc. His work won the Distinguished Paper Award in AMIA 2024, Outstanding Paper Award in ICML 2022, and the Best Paper Award Candidate in ICDM 2019. His work was supported by National Science Foundation (NSF), Institute of Education Sciences (IES) and Tencent America. He also received Google Research Scholar award in 2025.
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