News
- Hire: Postdoc, PhD and visiting student/scholar opportunities
- MLJ: Is it fair to assume IID sampling/batching for learning?
- CSUR: COVID-19 modeling – A review
- 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
- 2019 ARC Discovery Grant on deep behavior analytics
- AAAI2019 tutorial: Behavior Analytics: Methods and Applications
- Survey on Negative Sequence Analytics with CSUR
- Three papers accepted by AAAI’2019
- NIPS2018 paper: Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Influence
- Monograph published: Longbing Cao. Data Science Thinking: The Next Scientific, Technological and Economic Revolution, 2018, Springer
- PAKDD2018 Tutorial by Liang Hu, Longbing Cao, Songlei Jian. Non-IID Recommender Systems in Practice with Modern AI Techniques
- KDD2018 tutorial: Behavior Analytics: Methods and Applications
- KDD2018 oral paper: Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection
- KDD2018 oral paper: High-order Proximity Preserving Information Network Hashing
