From Verses to Vectors

20 December 2024 2:00pm
As the EMCR Informal Talk series are designed to share peoples’ own lives, keeping the Informal Talk as an in-person only event best aligns with its personal nature and can maximize interactions with the audience.

Controllable Visual Synthesis via Structural Representation

13 December 2024 1:00pm
Speaker: Yunzhi Zhang (Stanford University)

Developing Effective Long-Context Language Models

4 December 2024 1:00pm
Speaker: Tianyu Gao (Princeton University)

Mitigating Distribution Shifts in Using Pre-trained Vision-Language Models

2 December 2024 11:00am
Speaker: Dr Feng Liu (The University of Melbourne)

Two-Day Face-to-Face Bushings for Power Transformers- Design, Maintenance and Testing CPD Course

28 November 2024 8:30am29 November 2024 5:45pm
This two-day face-to-face course will bring industry professionals together for dialogue and sharing of knowledge to better understand the operation of bushings for power transformers, as well as the design, maintenance and testing thereof.

Towards Graph Machine Learning in the Wild

27 November 2024 1:00pm
Speaker: Dr Qitian Wu (MIT & Harvard)
2024 Innovation showcase

Innovation Showcase 2024

20 November 2024 5:00pm7:00pm
Don't miss the 2024 Innovation Showcase, a unique opportunity for EECS students to showcase their end of year projects to industry partners and the UQ community.

Evaluation and Reasoning in Real-world Scenarios

20 November 2024 1:00pm
Speaker: Wenting Zhao (Cornell University)

Renewable Energy Integration: CPD Course

13 November 2024 8:30am14 November 2024 5:00pm
This two-day face-to-face course will bring industry professionals together for dialogue and knowledge sharing to better understand the renewable energy technologies and their integration regarding renewable generator modelling, control techniques, frequency and voltage regulation aligning with grid codes.

Introduction to the Fundamentals of Power Systems: CPD Course

11 November 2024 8:30am12 November 2024 5:00pm
This two-day face-to-face course will bring industry professionals together for dialogue and sharing of knowledge to better understand the fundamentals of power systems along with its modelling and operational aspects.

Contextual Document Embeddings

6 November 2024 11:00am
Speaker: Jack (John) Morris (Cornell University & Meta AI)

Graph Neural Networks in Epidemic Modeling: An In-Depth Review and Toolkit

30 October 2024 1:00pm
This talk offers a comprehensive review of GNN applications in epidemic modeling, presenting a hierarchical taxonomy for both epidemiological tasks and modeling techniques.

See All You Want: Detecting Everything with Vision Foundation Models

23 October 2024 3:00pm
We introduce Dispersing Prompt Expansion DiPEx, a self-supervised prompt learning strategy that overcomes the limitations of manually crafted text queries in VLMs, which often miss objects due to semantic overlap diminishing detection confidence.

Advanced Strategies to Alleviate Challenges of Data Scarcity in Deep Learning for Medical Image Analysis

23 October 2024 11:00am
This PhD study aims to tackle the common challenges by designing novel training strategies for deep learning models trained on imperfect datasets.

Inference-Time Strategies for Ranking and RAG with LLMs

23 October 2024 9:30am
While Large Language Models (LLMs) exhibit strong zero-shot capabilities, carefully designed inference-time strategies are crucial for unlocking their full potential. This talk delves into two tasks where this is particularly evident: text ranking and retrieval-augmented generation (RAG).

Decentralized POI Recommender Systems

21 October 2024 10:00am
This thesis proposes several key works as solutions in decentralized POI recommender systems.

Graph Foundation Model in the Era of LLMs

16 October 2024 1:00pm
The central focus of our research: developing large language models and foundational models specifically tailored for graph data.

Language Inclusivity with Foundation Models

10 October 2024 3:00pm
In this talk, I will outline the progress in LLM research, and the opportunities they afford to multilingual settings.

Recreating the Physical Natural World from Images

9 October 2024 1:00pm
In this talk, I will discuss an alternative approach through inverse rendering, which enables machine learning models to extract explicit physical representations from raw, unstructured image data, such as Internet photos and videos.

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