All Talks
No.24-04 Deep Copula-Based Survival Analysis for Dependent Censoring
Censoring is the central problem in survival analysis where either the time-to-event (for instance, death) or the time-to-censoring (such as loss of follow-up) is observed for each sa...
From University of Newcastle, Apr 24, 2024
No.24-03 Towards Open-World Object Segmentation and Detection
Segmentation and detection are two fundamental and classical tasks in computer vision. In recent years, significant attention has been devoted to the open-vocabulary object segmentati...
From Monash University, Apr 10, 2024
No.24-02 Building AI/ML & Gen AI responsibly on AWS
This presentation explores best practices for building AI/ML and generative AI (Gen AI) models responsibly on AWS. We’ll explore real use cases where these technologies are driving va...
From Amazon, Mar 13, 2024
No.24-01 Filter Bubble in Recommender System: Diversity and Beyond
Recommender system has reshaped how we access information in today’s world, make relevant content more accessible to everyone. However, it has also resulted in some negative side-effe...
From Tsinghua University, Mar 07, 2024
Welcome to UQ Data Science Seminar Series!
This UQ Data Science seminar series aims to bring together students and senior researchers to discuss about their research, intending to have a diverse set of talks and speakers on to...
From Introduction, Jan 01, 2023
No.23-22 Process Mining: Opportunities and Challenges
In recent years, significant advances in extended reality (XR) and AI have offered novel, promising ways to visualise and eventually better understand large and complex data. Immersio...
From University of Queensland, Sep 13, 2023
No.23-20 Immersive Data Visualisation and Interactive AI
In recent years, significant advances in extended reality (XR) and AI have offered novel, promising ways to visualise and eventually better understand large and complex data. Immersio...
From University of Queensland, Sep 13, 2023
No.23-19 Graph Neural Networks for Large Dynamic Graphs
In real-world applications such as social networks, financial transactions, and recommender systems, graph-structured data is frequently dynamic, with the nodes and edges of the graph...
From DATA61-CSIRO, Sep 13, 2023
No.23-16 Generalized Out-of-distribution Detection: Theory and Algorithm
Out-of-distribution (OOD) detection is vital for ensuring the safety and reliability of artificial intelligence systems. It represents a novel and trending area in machine learning an...
From University of Technology Sydney, Aug 23, 2023
No.23-15 How to Detect Out-of-Distribution Data in the Wild? Challenges, Research Progress and Path Forward
When deploying machine learning models in the open and non-stationary world, their reliability is often challenged by the presence of out-of-distribution (OOD) samples. Since data shi...
From University of Wisconsin-Madison, Aug 16, 2023