Longbing Cao

CliCARE: Grounding Large Language Models in Clinical Guidelines for Decision Support over Longitudinal Cancer Electronic Health Records AAAI 2026 Markovian Scale Prediction: A New Era of Visual Autoregressive Generation CVPR 2026 PatchET: Learning Enzyme Temperature Properties Through Patch-Based Neural Architectures AAAI 2026 Stabilizing Spiking Neurons Through Biologically Inspired Polarization AAAI 2026 Dynamic Spectral Graph Anomaly Detection AAAI 2025 Mixture of Online and Offline Experts for Non-Stationary Time Series AAAI 2025 Out-of-Distribution Detection by Regaining Lost Clues (Abstract Reprint) IJCAI 2025 PatentScore: Multi-dimensional Evaluation of LLM-Generated Patent Claims EMNLP 2025 Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector AAAI 2024 Rethinking Fourier Transform from A Basis Functions Perspective for Long-term Time Series Forecasting NeurIPS 2024 Revealing Distribution Discrepancy by Sampling Transfer in Unlabeled Data NeurIPS 2024 Bayesian Federated Learning: A Survey IJCAI 2023 FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective NeurIPS 2023 Frequency-domain MLPs are More Effective Learners in Time Series Forecasting NeurIPS 2023 R-divergence for Estimating Model-oriented Distribution Discrepancy NeurIPS 2023 A Probabilistic Code Balance Constraint with Compactness and Informativeness Enhancement for Deep Supervised Hashing IJCAI 2022 Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty AAAI 2021 Enlivening Redundant Heads in Multi-head Self-attention for Machine Translation EMNLP 2021 Graph Learning based Recommender Systems: A Review IJCAI 2021 Self-supervised Bilingual Syntactic Alignment for Neural Machine Translation AAAI 2021 Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data AAAI 2021 Intention2Basket: A Neural Intention-driven Approach for Dynamic Next-basket Planning IJCAI 2020 Intention Nets: Psychology-Inspired User Choice Behavior Modeling for Next-Basket Prediction AAAI 2020 Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data AAAI 2020 Evolutionarily Learning Multi-Aspect Interactions and Influences from Network Structure and Node Content AAAI 2019 HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start Recommendation AAAI 2019 Modeling Multi-Purpose Sessions for Next-Item Recommendations via Mixture-Channel Purpose Routing Networks IJCAI 2019 Multi-View Information-Theoretic Co-Clustering for Co-Occurrence Data AAAI 2019 Sequential Recommender Systems: Challenges, Progress and Prospects IJCAI 2019 CoupledCF: Learning Explicit and Implicit User-item Couplings in Recommendation for Deep Collaborative Filtering IJCAI 2018 Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Influence NeurIPS 2018 Interpretable Recommendation via Attraction Modeling: Learning Multilevel Attractiveness over Multimodal Movie Contents IJCAI 2018 Metadata-dependent Infinite Poisson Factorization for Efficiently Modelling Sparse and Large Matrices in Recommendation IJCAI 2018 Diversifying Personalized Recommendation with User-session Context IJCAI 2017 Embedding-based Representation of Categorical Data by Hierarchical Value Coupling Learning IJCAI 2017 Learning Homophily Couplings from Non-IID Data for Joint Feature Selection and Noise-Resilient Outlier Detection IJCAI 2017 Copula Mixed-Membership Stochastic Blockmodel IJCAI 2016 Outlier Detection in Complex Categorical Data by Modeling the Feature Value Couplings IJCAI 2016 Coupled Attribute Analysis on Numerical Data IJCAI 2013 Cross-Domain Collaborative Filtering via Bilinear Multilevel Analysis IJCAI 2013