Events

Speaker: Ms Fengmei Jin

Speaker: Prof Abraham Bernstein (University of Zurich)
This talk highlights that computer science needs to increasingly engage with both the social and normative challenges of our work, possibly producing a new understanding of our discipline.

Speaker: Professor Shane Culpepper, RMIT University
In this talk, we will discuss a novel multi-task learning approach which can be used to produce more effective neural ranking models.

Speaker: Mr Jordan Bishop

Speaker: Mr Zijian Wang

Speaker: Shiva Shabaninejad

This workshop will give you a greater understanding of the world of cyber security and how it is part of the Australian Curriculum.

Speaker: Kaiyu Guo

Speaker: Mr Pengfei Zhang
Due to the inherent nature of data acquisition and generation, certain concerns surrounding responsible multi-modal data modelling are raised, including efficiency, reliability, and privacy.

Speaker: Mr Junliang Yu
In this presentation, we systematically investigate self-supervised recommender systems.

Speaker: Jing Long

Speaker: Sara Hajari

Speaker: Bing Liu

Join us as we discuss the first comprehensive taxonomy of NFQ categories and the expected structure of answers.

Don't miss the 2022 Innovation Showcase, a unique opportunity for ITEE students to showcase their end of year projects to industry partners and the UQ community

In this talk, Tianbao Yang will present recent research efforts into developing a deep learning library called LibAUC, which is applicable for solving a variety of compositional measures.

The Design Computing Studio Exhibit is an opportunity for students from our design computing studio courses to showcase the projects they have worked on over the course of the semester.

Join us as we discuss a novel boosting algorithm for PU learning: Ada-PU, which compares against neural networks.

Join us as we discuss a non-blocking and asynchronous DRL training architecture for non-linear, real-time dynamical systems tailored to handling variable delays.

Join us as 2022 DECRA Fellow Dr Xin Yu discuss recent research results on machine perception algorithms in surveillance systems as well as in AI assisted medical diagnosis.

Calling all girls in years 8-10 who are looking to do something fun and worthwhile to do during your school holidays.

Join us as we discuss a proposed generative scrubbing (GS) method that learns a generator to craft noisy data to manipulate the model weights.

Join us as we discuss a more versatile setting of MSDA, namely Generalized Multi-source Domain Adaptation, wherein the source domains are partially overlapped, and the target domain is allowed to contain novel categories.

For any e-commerce service, persuasive, faithful, and informative product descriptions can attract shoppers and improve sales. While not all sellers are capable of providing such interesting descriptions, a language generation system can be a source of such descriptions at scale, and potentially assist sellers to improve their product descriptions.