← Authors

Longbing Cao

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

Achievements

🐝 Cross-Pollinator (13) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (72) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (7) 🌍 Conference Polyglot (4) πŸƒ Academic Marathon (12) 🀝 Dynamic Duo (15) πŸ”¬ Deep Specialist (10) πŸ’Ž Century Club (36) ⚑ Prolific Year (5) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (188) πŸ”₯ 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) matrix factorization (4) recommender system (4) fourier transform (3) neural network (3) session-based recommendation (2) distribution discrepancy (2) user-item interaction (2) sequential recommendation (2) representation learning (2) user behavior modeling (2) contrastive learning (2) domain adaptation (2) time series forecasting (2) frequency domain (2) self-supervised learning (2) mutual information (2) bayesian inference (2) uncertainty quantification (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