Longbing Cao

39 papers · 2013–2026 · 4 conferences · across top CS/AI conferences

Achievements

+11 more ↓

🏃 Academic Marathon (12) 🌍 Conference Polyglot (4) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (13)

🌈 Renaissance Researcher (7) 🌍 Conference Polyglot (4) 🏃 Academic Marathon (12) 🤝 Dynamic Duo (15) 🔬 Deep Specialist (10) 💎 Century Club (36) ⚡ Prolific Year (5) 📈 Trend Setter 🚀 Conference Pioneer 🗃️ Keyword Collector (188) 🔥 Unstoppable (10)

Conferences

IJCAI (17) AAAI (14) NIPS (6) EMNLP (2)

Top co-authors

Liang Hu (15) Shoujin Wang (8) Qi Zhang (5) Yan Wang (5) Songlei Jian (5) Quan Z. Sheng (5) Xuhui Fan (4) Zhilin Zhao (4) Mehmet Orgun (4) Kun Yi (3)

Keywords

collaborative filtering (5) graph neural network (4) recommender system (4) matrix factorization (4) fourier transform (3) neural network (3) session-based recommendation (2) user behavior modeling (2) user-item interaction (2) time series forecasting (2) representation learning (2) sequential recommendation (2) contrastive learning (2) distribution discrepancy (2) self-supervised learning (2) bayesian inference (2) domain adaptation (2) uncertainty quantification (2) content-based filtering (2) mutual information (2)

Papers

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