Jenny Zhang

Professor Jenny Zhang

Assoc Dean, Higher Degrees by Res & Tech

Details

  • College: School of Computing Technologies
  • Department: School of Computing Technologies
  • Campus: City Campus Australia
  • xiuzhen.zhang@rmit.edu.au

About

Xiuzhen Jenny Zhang is Professor of Data Science at RMIT University.

Her research interests include data science and machine learning, text mining and social media analysis. She has published extensively on these topics. Her research has been supported by the Australian Research Council, the Victoria state government and industry partners.

Research fields

  • 4605 Data management and data science
  • 4609 Information systems
  • 4611 Machine learning
  • 4606 Distributed computing and systems software
  • 4602 Artificial intelligence
  • 4608 Human-centred computing
  • 4610 Library and information studies
  • 4603 Computer vision and multimedia computation
  • 4604 Cybersecurity and privacy
  • 3101 Biochemistry and cell biology

Supervisor projects

  • Efficient transfer learning across domains and data modalities
  • 23 Sep 2024
  • Leveraging Computer Vision-Informed Strategies for Large-Scale Language Models and Multimodal Backdoor Learning Defence
  • 15 May 2024
  • Ai for Climate Adaptation
  • 13 Mar 2024
  • Performance Prediction and Optimization for Highly Configurable Software Systems
  • 14 Nov 2023
  • Human-in-the-loop reinforcement learning for fake news mitigation
  • 9 Aug 2023
  • Big data for shipyard 4.0: Data stream mining
  • 20 Apr 2023
  • Argument-Aware and Quantitative Opinion Summarization using graph-based and attention-based mechanism
  • 7 Mar 2023
  • The Aid of Adapters in the Fight against Neural Disinformation
  • 10 Feb 2023
  • Learning Integral-based temporal point process on synthetic and real-world datasets
  • 16 Nov 2022
  • Topic-sentiment mixture analysis
  • 10 Dec 2021
  • Structural Prognostics and Health Management
  • 20 Aug 2021
  • Digital Medical Sensor Network
  • 6 Aug 2021
  • Combatting fake news on social media
  • 17 Dec 2020
  • Adaptable Transfer Learning Models for Online Misinformation Detection
  • 11 Dec 2019
  • Answering complex and subjective questions based on review helpfulness
  • 17 Jun 2019
  • Analysis of User Behaviour on an Online Newspaper using Web Server Logs
  • 27 Feb 2019
  • On Rumour Spread in Online Social Networks: Stochastic Modelling and Deep Learning
  • 19 Oct 2018
  • Learning from Multimodal Time-series Data with Minimal Supervision
  • 20 Sep 2018
  • Itinerary Recommendation based on Deep Learning
  • 1 Aug 2018
  • Automated Evaluation of Opinion Summaries
  • 1 Mar 2018
  • Fraud Detection: A Graph Based Anomaly Detection Approach
  • 20 Feb 2018
  • Sentiment Analysis as a Service
  • 6 Jul 2017
  • Mining User-Generated Texts via Neural Classification
  • 18 Jul 2016
  • Context-aware Social Recommendation in Sharing Community
  • 21 Oct 2015
  • Spam Detection and Aggregation of Reviews Using Minimal Supervision
  • 20 Jul 2015
  • Impact of Location on Social Media Credibility
  • 2 Feb 2015
  • Mining Complex Data in Highly Streaming Environments
  • 10 Jun 2014
  • Graph Database Management Systems: Storage, Management and Query Processing
  • 22 Jul 2013
  • Information Credibility Perception on Twitter
  • 4 Mar 2013

Teaching interests

Data Mining, Text mining, Data analytics, Machine learning

Research interests

Artificial Intelligence and Image Processing, Information Systems, Data Format, Distributed Computing, Biochemistry and Cell Biology, Computer Software

Initiatives and links

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Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Sentient' by Hollie Johnson, Gunaikurnai and Monero Ngarigo.