News
- Hire: Postdoc, PhD and visiting student/scholar opportunities
- PAKDD 2025 to be held on 10-13 June in Sydney
- 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
- Humanoid AI: A new era of AI and robotics & Ameca
- 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
- Special Issue on Learning Complex Couplings and Interactions
- Three papers on nonoccurring behaviors, negative sequences, feedback and constraints
- Three papers accepted by AAAI’2021
- Unsupervised coupling learning accepted by TPAMI
- Prof Cao named ACM Distinguished Scientist
- Dr Guansong Pang’s thesis in the 2019 Chancellor’s List
- IJCAI20 Special Track on AI in FinTech
- Prof Cao is awarded the ARC Future Fellowship (Level 3)
- Prof Cao won 2019 Eureka Prize for Excellence in Data Science
- Call for Papers: Intelligent Recommendation with Advanced AI and Learning
- Special Issue on AI and FinTech with IEEE IS
- IJCAI2019 tutorial: Non-IID Learning of Complex Data and Behaviors
- Qi Zhang won the first place of School’s research showcase
- Two papers accepted by IJCAI2019
