News
- Hiring: Postdoc, PhD, MRes, and visiting opportunities
- Longbing Cao inducted as Global Ambassador by BESydney
- KDD26-Blue Sky: Metaverse Patient Digital Twins
- KDD26-Research: Text-to-Image Video Editing
- Internship students received Judges’ Choice award
- Zhangkai Wu received Dean’s List award
- 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
- 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
- IJCAI2018 paper: Metadata-dependent Infinite Poisson Factorization for Efficiently Modelling Sparse and Large Matrices in Recommendation
- IJCAI2018 paper: Interpretable Recommendation via Attraction Modeling: Learning Multilevel Attractiveness over Multimodal Movie Contents
- IJCAI2018 paper: CoupledCF: Learning Explicit and Implicit User-item Couplings in Recommendation for Deep Collaborative Filtering
- Congratulations to Qi Zhang’s TKDE paper: HCBC: A Hierarchical Case-Based Classifier Integrated with Conceptual Clustering
- Call for everything to IEEE DSAA’2018, 1-4 Oct 2018, Turin, Italy
- Congratulations to Songlei Jian’s TKDE paper: Unsupervised Coupled Metric Similarity for Non-IID Categorical Data
- Quality data science research as a team (AAAI’2018 student success)
- Call for the Next Generation Data Scientist Award
- Two world leaders Prof Michael Jordan and Prof Hiroaki Kitano will deliver their keynote speeches to DSAA’2017
