Liang Ding (丁亮)

NLP Researcher

School of Computer Science
University of Sydney
Sydney, Australia

To get my email, ask Python for help:
".".join(["moc","liamg@mail.gnidgnail"])[::-1]


Biography

I was a Ph.D candidate at UBTech Sydney AI Centre, The University of Sydney (USYD), supervised by Prof. Dacheng Tao. I was a Research Intern at Tencent AI Lab, advised by Dr. Zhaopeng Tu and Dr. Longyue Wang. I worked at Cheetah Mobile as an algorithm engineer, I was the main contributor of Xiaobao AI translation stick [Demo].

My current research focuses on deep learning for NLP, including Neural Machine Translation (NMT), large-scale Pretrained Language Model (PLM), Cross-lingual Language Model (XLM), Spoken Language Understanding (SLU), Speech Translation (ST) and Sentiment Analysis (SA). More Recently, I have been focusing on trustworthy foundation models of general NLP. We start from data, models, objectives and better adaptation to various downstream tasks to investigate how to efficiently and trustworthily transfer knowledge from large-scale data to the parameters of the pre-training model. Our model scale has reached GPT-3 level, i.e. 175B.

I am always open for collaborations!

📣 I have several internship positions at JD Explore Academy. Students with a strong passion for NLP and PLM are welcome.

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I am always fortunate to work with these brilliant students (colored text for alumni), they are:

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