Gang Li
Professor Gang Li researches artificial intelligence, data privacy, machine learning and business intelligence at Deakin University. He joined Deakin's School of Information Technology in 2001, and his coauthored work received the KSEM 2018 Best Paper award. He served as a chief investigator on an Australian Research Council project to build privacy-preserving cloud data sharing and directed Deakin's D2i Research Centre from 2020 to 2023. He coauthored a 2023 paper on using generative models against adversarial attacks on tabular data, a 2024 audio-visual speech paper accepted at NeurIPS, and a 2025 paper on provably robust reinforcement learning accepted at USENIX Security. As of October 2026, he is a professor in Deakin's School of Information Technology.
Timeline
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2001
Joining Deakin's IT school
He joins Deakin's School of Information Technology in 2001; his research spans artificial intelligence, data privacy, machine learning and business intelligence.
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2018
KSEM Best Paper award
He coauthors a paper that receives the KSEM 2018 Best Paper award.
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2018–2021
Cloud data privacy project
He serves as a chief investigator on Australian Research Council project LP170100123, which runs from 2018 to 2021 and aims to develop a privacy-preserving data-sharing system for cloud environments.
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2020–2023
Leading Deakin's D2i Centre
From 2020 to 2023, he directs Deakin's D2i Research Centre.
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2023
Generative models for tabular defense
In 2023, he coauthors “Leveraging Generative Models for Combating Adversarial Attacks on Tabular Datasets.”
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2024
SpeechForensics at NeurIPS
With Yachao Liang and colleagues, he coauthors “SpeechForensics: Audio-Visual Speech Representation Learning for Face Forgery Detection”; the paper is accepted at NeurIPS 2024.
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January 2025
Provably robust reinforcement learning
In January 2025, he coauthors “CAMP in the Odyssey: Provably Robust Reinforcement Learning with Certified Radius Maximization”; the paper is accepted at the USENIX Security Symposium.
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As of October 2026
Professor at Deakin
As of October 2026, he is a professor in Deakin's School of Information Technology.
Sources and credits
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