Cao, Longbing

53 publications

AAAI 2025 Dynamic Spectral Graph Anomaly Detection Jianbo Zheng, Chao Yang, Tairui Zhang, Longbing Cao, Bin Jiang, Xuhui Fan, Xiao-Ming Wu, Xianxun Zhu

NeurIPS 2025 Enhancing Text-to-Image Diffusion Transformer via Split-Text Conditioning Yu Zhang, Jialei Zhou, Xinchen Li, Qi Zhang, Zhongwei Wan, Duoqian Miao, Changwei Wang, Longbing Cao

AAAI 2025 Mixture of Online and Offline Experts for Non-Stationary Time Series Zhilin Zhao, Longbing Cao, Yuan-Yu Wan

IJCAI 2025 Out-of-Distribution Detection by Regaining Lost Clues (Abstract Reprint) Zhilin Zhao, Longbing Cao, Philip S. Yu

NeurIPS 2025 Revealing Multimodal Causality with Large Language Models Jin Li, Shoujin Wang, Qi Zhang, Feng Liu, Tongliang Liu, Longbing Cao, Shui Yu, Fang Chen

NeurIPS 2025 SCoT: Unifying Consistency Models and Rectified Flows via Straight-Consistent Trajectories Zhangkai Wu, Xuhui Fan, Hongyu Wu, Longbing Cao

AAAI 2024 Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector An Lao, Qi Zhang, Chongyang Shi, Longbing Cao, Kun Yi, Liang Hu, Duoqian Miao

NeurIPS 2024 Rethinking Fourier Transform from a Basis Functions Perspective for Long-Term Time Series Forecasting Runze Yang, Longbing Cao, Jianxun Li, Jie Yang

NeurIPS 2024 Revealing Distribution Discrepancy by Sampling Transfer in Unlabeled Data Zhilin Zhao, Longbing Cao, Xuhui Fan, Wei-Shi Zheng

MLJ 2024 Weighting Non-IID Batches for Out-of-Distribution Detection Zhi-Lin Zhao, Longbing Cao

TMLR 2023 Dual Representation Learning for Out-of-Distribution Detection Zhilin Zhao, Longbing Cao

NeurIPS 2023 FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu

NeurIPS 2023 Frequency-Domain MLPs Are More Effective Learners in Time Series Forecasting Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Ning An, Defu Lian, Longbing Cao, Zhendong Niu

NeurIPS 2023 R-Divergence for Estimating Model-Oriented Distribution Discrepancy Zhilin Zhao, Longbing Cao

IJCAI 2022 A Probabilistic Code Balance Constraint with Compactness and Informativeness Enhancement for Deep Supervised Hashing Qi Zhang, Liang Hu, Longbing Cao, Chongyang Shi, Shoujin Wang, Dora D. Liu

AAAI 2021 Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty Guifeng Wang, Longbing Cao, Hongke Zhao, Qi Liu, Enhong Chen

IJCAI 2021 Graph Learning Based Recommender Systems: A Review Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Francesco Ricci, Philip S. Yu

AAAI 2021 Self-Supervised Bilingual Syntactic Alignment for Neural Machine Translation Tianfu Zhang, Heyan Huang, Chong Feng, Longbing Cao

AAAI 2021 Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data Qi Zhang, Longbing Cao, Chongyang Shi, Liang Hu

AAAI 2020 Intention Nets: Psychology-Inspired User Choice Behavior Modeling for Next-Basket Prediction Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao

IJCAI 2020 Intention2Basket: A Neural Intention-Driven Approach for Dynamic Next-Basket Planning Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao

AAAI 2020 Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data Songlei Jian, Liang Hu, Longbing Cao, Kai Lu

AAAI 2019 Evolutionarily Learning Multi-Aspect Interactions and Influences from Network Structure and Node Content Songlei Jian, Liang Hu, Longbing Cao, Kai Lu, Hang Gao

AAAI 2019 HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start Recommendation Liang Hu, Songlei Jian, Longbing Cao, Zhiping Gu, Qingkui Chen, Artak Amirbekyan

IJCAI 2019 Modeling Multi-Purpose Sessions for Next-Item Recommendations via Mixture-Channel Purpose Routing Networks Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao

AAAI 2019 Multi-View Information-Theoretic Co-Clustering for Co-Occurrence Data Peng Xu, Zhaohong Deng, Kup-Sze Choi, Longbing Cao, Shitong Wang

IJCAI 2019 Sequential Recommender Systems: Challenges, Progress and Prospects Shoujin Wang, Liang Hu, Yan Wang, Longbing Cao, Quan Z. Sheng, Mehmet A. Orgun

AAAI 2018 Attention-Based Transactional Context Embedding for Next-Item Recommendation Shoujin Wang, Liang Hu, Longbing Cao, Xiaoshui Huang, Defu Lian, Wei Liu

AAAI 2018 Coupled Poisson Factorization Integrated with User/Item Metadata for Modeling Popular and Sparse Ratings in Scalable Recommendation Trong Dinh Thac Do, Longbing Cao

IJCAI 2018 CoupledCF: Learning Explicit and Implicit User-Item Couplings in Recommendation for Deep Collaborative Filtering Quangui Zhang, Longbing Cao, Chengzhang Zhu, Zhiqiang Li, Jinguang Sun

NeurIPS 2018 Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Influence Trong Dinh Thac Do, Longbing Cao

IJCAI 2018 Interpretable Recommendation via Attraction Modeling: Learning Multilevel Attractiveness over Multimodal Movie Contents Liang Hu, Songlei Jian, Longbing Cao, Qingkui Chen

IJCAI 2018 Metadata-Dependent Infinite Poisson Factorization for Efficiently Modelling Sparse and Large Matrices in Recommendation Trong Dinh Thac Do, Longbing Cao

AAAI 2018 Metric-Based Auto-Instructor for Learning Mixed Data Representation Songlei Jian, Liang Hu, Longbing Cao, Kai Lu

AAAI 2018 Sparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric Data Guansong Pang, Longbing Cao, Ling Chen, Defu Lian, Huan Liu

AAAI 2017 Beyond IID: Learning to Combine Non-IID Metrics for Vision Tasks Yinghuan Shi, Wenbin Li, Yang Gao, Longbing Cao, Dinggang Shen

IJCAI 2017 Diversifying Personalized Recommendation with User-Session Context Liang Hu, Longbing Cao, Shoujin Wang, Guandong Xu, Jian Cao, Zhiping Gu

IJCAI 2017 Embedding-Based Representation of Categorical Data by Hierarchical Value Coupling Learning Songlei Jian, Longbing Cao, Guansong Pang, Kai Lu, Hang Gao

IJCAI 2017 Learning Homophily Couplings from Non-IID Data for Joint Feature Selection and Noise-Resilient Outlier Detection Guansong Pang, Longbing Cao, Ling Chen, Huan Liu

ECML-PKDD 2017 Perceiving the Next Choice with Comprehensive Transaction Embeddings for Online Recommendation Shoujin Wang, Liang Hu, Longbing Cao

IJCAI 2016 Copula Mixed-Membership Stochastic Blockmodel Xuhui Fan, Richard Yi Da Xu, Longbing Cao

IJCAI 2016 Outlier Detection in Complex Categorical Data by Modeling the Feature Value Couplings Guansong Pang, Longbing Cao, Ling Chen

AAAI 2015 Actionable Combined High Utility Itemset Mining Jingyu Shao, Junfu Yin, Wei Liu, Longbing Cao

AAAI 2015 Coupled Collaborative Filtering for Context-Aware Recommendation Xinxin Jiang, Wei Liu, Longbing Cao, Guodong Long

AAAI 2015 Deep Modeling Complex Couplings Within Financial Markets Wei Cao, Liang Hu, Longbing Cao

AAAI 2014 Deep Modeling of Group Preferences for Group-Based Recommendation Liang Hu, Jian Cao, Guandong Xu, Longbing Cao, Zhiping Gu, Wei Cao

IJCAI 2013 Coupled Attribute Analysis on Numerical Data Can Wang, Zhong She, Longbing Cao

IJCAI 2013 Cross-Domain Collaborative Filtering via Bilinear Multilevel Analysis Liang Hu, Jian Cao, Guandong Xu, Jie Wang, Zhiping Gu, Longbing Cao

ECML-PKDD 2013 On Discovering the Correlated Relationship Between Static and Dynamic Data in Clinical Gait Analysis Yin Song, Jian Zhang, Longbing Cao, Morgan Sangeux

AAAI 2012 A Theoretical Framework of the Graph Shift Algorithm Xuhui Fan, Longbing Cao

AAAI 2012 CCE: A Coupled Framework of Clustering Ensembles Zhong She, Can Wang, Longbing Cao

IJCAI 2011 Similarity-Based Approach for Positive and Unlabeled Learning Yanshan Xiao, Bo Liu, Jie Yin, Longbing Cao, Chengqi Zhang, Zhifeng Hao

ECML-PKDD 2009 Debt Detection in Social Security by Sequence Classification Using Both Positive and Negative Patterns Yanchang Zhao, Huaifeng Zhang, Shanshan Wu, Jian Pei, Longbing Cao, Chengqi Zhang, Hans Bohlscheid