The Data Science Lab
since 2005
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News
 
  • Hiring: Postdoc, PhD, MRes, and visiting opportunities
  • ICRA 26: VividFace for humanoid face modeling
  • ARC DP26: Convergence and Divergence Theories for Variational Decentralized Learning
  • 3 NeurIPS papers on diffusion and LLMs
  • CSUR: Humanoid Robots and Humanoid AI: Review, Perspectives and Directions
  • PhD student Filippo Cenacchi receives MQ Second Runner-Up Award for 3MT
  • EMNLP: Multi-dimensional Evaluation of LLM-Generated Patent Claims
  • Congratulations to Zhangkai Wu for PhD completion
  • TNNLS: Robust Multivariate Time Series Forecasting
  • Congratulations to Hu Cao for PhD completion
  • TOIS: Semantic Relation Guided Dual-view Contrastive Learning for Session-based Recommendations
  • TPAMI: Non-IID/OOD – Distilling the Unknown to Unveil Certainty
  • Humanoid AI: Generative AI, LLMs with humanoids & Ameca
  • PAKDD2025 with AI School and AI Forum successfully held on 10-13 June in Sydney
  • KDD25: SepDiff: Self-Encoding Parameter Diffusion for Learning Latent Semantics
  • TNLLS: Variational Hierarchical N-BEATS Model for Long-term Time-series Forecasting
  • TNNLS: FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification
  • ICRA25: Emotional Multi-party Human-humanoid Interaction
  • AIJ: Out-of-Distribution Detection by Regaining Lost Clues
  • AAAI’25: Dynamic Spectral Graph Anomaly Detection
  • AAAI’25: Mixture of Online and Offline Experts for Non-stationary Time Series
  • Peizhen Li received 2024 Google PhD Fellowship
  • 2023 Graduate Qi Zhang awarded Distinguished Young Scholars (Overseas) by NSFC
  • 2023 Graduate Zhilin Zhao awarded Distinguished Young Scholars (Overseas) by NSFC
  • KDD25: ProgDiffusion: Progressively Self-encoding Diffusion Models
  • NeurIPS24: Rethinking Fourier Transform from Basis Functions
  • NeurIPS24: Revealing Distribution Discrepancy by Sampling Transfer
  • ScholarGPS: Prof. Cao as lifetime Highly Ranked Scholar – Top 0.05%
  • ARC LP2023: Ethical Enterprise Representations for Personalised Sustainable Finance
  • Book: Global COVID-19 Research and Modeling
  • ARC DP24: Data Complexity and Uncertainty-Resilient Deep Variational Learning
  • ARC LIEF24: Federated Omniverse Facilities for Smart Digital Futures
  • TNNLS: Explicit and Implicit Pattern Relation Analysis for Discovering Actionable Negative Sequences
  • TNNLS: eVAE: Evolutionary variational autoencoder
  • AAAI24: Frequency Spectrum is More Effective for Multimodal Representation and Fusion
  • Global scientists responses to COVID-19 & our work
  • TKDE: Fairness-aware Multivariate Time-series Forecasting
  • TPAMI: Non-IID/OOD – Supervision Adaptation Balancing In-distribution Generalization and Out-of-distribution Detection
  • NeurIPS23: R-divergence for Estimating Model-oriented Distribution Discrepancy
  • NeurIPS23: Frequency-domain Multivariate Time Series Forecasting
  • IJCAI23 Tutorial: Deep non-IID learning
  • TNNLS: Copula Variational LSTM for High-dimensional Cross-market Multivariate Dependence Modeling
  • TNNLS: Out-of-Distribution Detection by Cross-Class Vicinity Distribution of In-Distribution Data
  • Prof Cao joined Macquarie as the Distinguished Chair in AI
  • Congratulations to Qi Zhang and Zhilin Zhao for PhD completion
  • Prof Cao as the Chair of the PAKDD Steering Committee
  • IJCAI23: Bayesian federated learning: a survey
  • JDSA: Trans-AI/DS, AI for disaster resilience
  • TPAMI: Non-IID/OOD – Distributional Vulnerability
  • Data Science Thinking translated to Turkish and Russian
  • 70 years of AI: AI science and engineering
  • Two papers on actionable enterprise data science innovations
  • Congratulations to Qing Liu and Jia Xu for PhD completion
  • Special issue@MLJ, Journal track@DSAA’2022: Foundations of Data Science
  • Special issue@JDSA, Journal Track@DSAA’2022: Theoretical and Practical Data Science and Analytics
  • Prof Cao appointed Editor-in-Chief: IEEE Intelligent Systems
  • DSAA ranked A in CORE, DSAA and JDSA in Google Metrics top-20 ‘Data Mining & Analysis’
  • Long surveys on data science and AI in finance & FinTech
  • Surveys on sequential/session-based recommender systems
  • Three papers on non-IID and deep outlier detection
About us
School of Computing, Faculty of Science and Engineering, Macquarie University, Australia
Macquarie University Frontier AI Research Centre
Level 3, 3 Innovation Road, Macquarie University, NSW 2109, Australia
Tel: +61-2-9850 9583
Staff: firstname.surname(a)mq.edu.au
Students: firstname.surname(a)student.mq.edu.au
Contacts@datasciences.org