Short Bio
I am a PhD student in Applied Mathematics at The University of Sydney, working under the supervision of Prof. Eduardo G. Altman and Prof. Tristram Alexander. My research focuses on developing methodological approaches to uncover meso-scale structures in complex networks.
I graduated with first-class honours in Applied Mathematics from The University of Sydney in 2019, where my research explored topic modeling and community detection in complex systems. After completing my undergraduate studies, I worked as a software engineer at Huawei for two years, gaining practical experience in software development and large-scale data analysis. I then pursued a Master’s degree in Computer Science at UMass Amherst, where I conducted research in deep learning under the supervision of Prof. Evangelos Kalogerakis and Dmitry Petrov, focusing on applications in natural language processing (NLP), computer vision, and graphics.
News
- [Oct. 2023] Our paper "On Surgical Fine-tuning for Language Encoders" has been accepted as part of the Findings of EMNLP 2023. Thanks to all the collaborators!
- [Jul. 2023] I will do summer research intern at UMass Graphics Lab, working on geometry editing of 2D/3D diffusion models.
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- [Jun. 2021] I'm proud to share that our paper "Multilayer Networks for Text Analysis With Multiple Data Types" was accepted by EPJ Data Science, a Q1 journal according to the SCImago Journal Rank.
- [May 2020] I'm excited to begin my journey as a Software Development Engineer with Huawei in Hangzhou.
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[Oct. 2019] I am thrilled to have the opportunity to present my Honours thesis at the Conference on Complex Systems held at Nanyang Technological University (NTU), Singapore. I would like to extend my heartfelt thanks to my supervisor, Eduardo, for his invaluable guidance and support throughout my research journey.
Publications
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EMNLP
Abhilasha Lodha*, Gayatri Belapurkar*, Saloni Chalkapurkar*, Yuanming Tao*, Reshmi Ghosh, Samyadeep Basu, Dmitrii Petrov, Soundararajan Srinivasan
EMNLP Findings, 2023
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EPJ Data Science
Charles C. Hyland, Yuanming Tao, Lamiae Azizi, Martin Gerlach, Tiago P. Peixoto, Eduardo G. Altmann
EPJ Data Science, 2021
Projects
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NLP
2023
The key contribution of the project is its novel approach to the ECPE task through several methods, such as 1) framing the problem as a multi-span extractive question-answering problem, 2) evaluating the performance of LLMs on this task, and 3) recreating SOTA frameworks in Pytorch that were originally crafted in TensorFlow 1.x.
Technologies: HuggingFace, PyTorch, Prompt Engineering
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NLP
2019
The thesis's main contribution is enhancing the network model with additional textual information, improving the classification of documents. Experiments on Wikipedia articles confirm that incorporating auxiliary information into topic models results in a better fit to the data and superior document classification.
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Comp. Math.
2018
The project's contribution includes the creation of a fully vectorized and memory-optimized codebase, enhancing the exploration of dynamic behaviors in a multi-mass pendulum chain and revealing its dependence on initial conditions and the number of masses involved.
Technologies: Scipy, Sparse Matrices, Numerical Analysis
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Code
Contact
Address: School of Mathematics and Statistics F07, University of Sydney NSW 2006, Australia
Office: Room 528, Carslaw Building
School Email: ytao5219 (at) uni (dot) sydney (dot) edu
Misc
- I grew up in Ürümqi , Xinjiang.
- For most Chinese people, my name is very easy to remember because it is spelled the same as Tao Yuanming, the famous poet from the Eastern Jin dynasty in ancient China.
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