| 2026 | AAAI | Stabilizing Spiking Neurons Through Biologically Inspired Polarization. | Matthew Lai, Longbing Cao |
| 2026 | AAAI | CliCARE: Grounding Large Language Models in Clinical Guidelines for Decision Support over Longitudinal Cancer Electronic Health Records. | Dongchen Li, Jitao Liang, Wei Li, Xiaoyu Wang, Longbing Cao, Kun Yu |
| 2026 | AAAI | PatchET: Learning Enzyme Temperature Properties Through Patch-Based Neural Architectures. | Ziqi Zhang, Runze Yang, Longbing Cao, Zhaohong Deng |
| 2026 | ACL | PatentMind: A Multi-Aspect Reasoning Graph for Patent Similarity Evaluation. | Yongmin Yoo, Qiongkai Xu, Longbing Cao |
| 2025 | AAAI | Mixture of Online and Offline Experts for Non-Stationary Time Series. | Zhilin Zhao, Longbing Cao, Yuan-Yu Wan |
| 2025 | AAAI | Dynamic Spectral Graph Anomaly Detection. | Jianbo Zheng, Chao Yang, Tairui Zhang, Longbing Cao, Bin Jiang, Xuhui Fan, Xiao-Ming Wu, Xianxun Zhu |
| 2025 | EMNLP | PatentScore: Multi-dimensional Evaluation of LLM-Generated Patent Claims. | Yongmin Yoo, Qiongkai Xu, Longbing Cao |
| 2025 | IJCAI | Out-of-Distribution Detection by Regaining Lost Clues (Abstract Reprint). | Zhilin Zhao, Longbing Cao, Philip S. Yu |
| 2025 | ICRA | UGotMe: An Embodied System for Affective Human-Robot Interaction. | Pei-Zhen Li, Longbing Cao, Xiao-Ming Wu, Xiaohan Yu, Runze Yang |
| 2025 | KDD | A Survey on Deep Learning based Time Series Analysis with Frequency Transformation. | Kun Yi, Qi Zhang, Wei Fan, Longbing Cao, Shoujin Wang, Hui He, Guodong Long, Liang Hu, Qingsong Wen, Hui Xiong |
| 2025 | KDD | SepDiff: Self-Encoding Parameter Diffusion for Learning Latent Semantics. | Zhangkai Wu, Xuhui Fan, Jin Li, Zhilin Zhao, Hui Chen, Longbing Cao |
| 2025 | KDD | ProgDiffusion: Progressively Self-encoding Diffusion Models. | Zhangkai Wu, Xuhui Fan, Longbing Cao |
| 2024 | AAAI | 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 |
| 2024 | ICDM | Influence-Aware Group Recommendation for Social Media Propagation. | Chengkun He, Xiangmin Zhou, Chen Wang, Longbing Cao, Jie Shao, Zahir Tari |
| 2023 | DSAA | Deep Spectral Copula Mechanisms Modeling Coupled and Volatile Multivariate Time Series. | Yang Yang, Zhilin Zhao, Longbing Cao |
| 2023 | IJCNN | An Unsupervised Hierarchical Clustering Approach to Improve Hopfield Retrieval Accuracy. | Matthew Lai, Longbing Cao, Haiyan Lu, Quang Ha, Li Li, Md. Jahangir Hossain, Paul J. Kennedy |
| 2023 | IJCNN | MTSNet: Deep Probabilistic Cross-multivariate Time Series Modeling with External Factors for COVID-19. | Yang Yang, Longbing Cao |
| 2022 | CIKM | Deep Learning for Search and Recommendation. | Wei Liu, Kexin Xie, Linsey Pang, James Bailey, Longbing Cao, Yuxi Zhang |
| 2022 | IJCAI | 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 |
| 2022 | KDD | Shallow and Deep Non-IID Learning on Complex Data. | Longbing Cao, Philip S. Yu, Zhilin Zhao |
| 2022 | KDD | ANDEA: Anomaly and Novelty Detection, Explanation, and Accommodation. | Guansong Pang, Jundong Li, Anton van den Hengel, Longbing Cao, Thomas G. Dietterich |
| 2021 | AAAI | Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty. | Guifeng Wang, Longbing Cao, Hongke Zhao, Qi Liu, Enhong Chen |
| 2021 | AAAI | 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 |
| 2021 | AAAI | Self-supervised Bilingual Syntactic Alignment for Neural Machine Translation. | Tianfu Zhang, Heyan Huang, Chong Feng, Longbing Cao |
| 2021 | CIKM | BiCMTS: Bidirectional Coupled Multivariate Learning of Irregular Time Series with Missing Values. | Qinfen Wang, Siyuan Ren, Yong Xia, Longbing Cao |
| 2021 | EMNLP | Enlivening Redundant Heads in Multi-head Self-attention for Machine Translation. | Tianfu Zhang, Heyan Huang, Chong Feng, Longbing Cao |
| 2021 | IJCAI | 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 |
| 2021 | KDD | Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data. | Guansong Pang, Anton van den Hengel, Chunhua Shen, Longbing Cao |
| 2021 | KDD | Anomaly and Novelty Detection, Explanation, and Accommodation (ANDEA). | Guansong Pang, Jundong Li, Anton van den Hengel, Longbing Cao, Thomas G. Dietterich |
| 2021 | WSDM | Deep Learning for Anomaly Detection: Challenges, Methods, and Opportunities. | Guansong Pang, Longbing Cao, Charu Aggarwal |
| 2020 | AAAI | Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data. | Songlei Jian, Liang Hu, Longbing Cao, Kai Lu |
| 2020 | AAAI | 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 |
| 2020 | DSAA | Mix2Vec: Unsupervised Mixed Data Representation. | Chengzhang Zhu, Qi Zhang, Longbing Cao, Arman Abrahamyan |
| 2020 | IJCAI | 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 |
| 2020 | IJCNN | Maximum Entropy Reinforcement Learning with Evolution Strategies. | Longxiang Shi, Shijian Li, Qian Zheng, Longbing Cao, Long Yang, Gang Pan |
| 2019 | AAAI | 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 |
| 2019 | AAAI | Evolutionarily Learning Multi-Aspect Interactions and Influences from Network Structure and Node Content. | Songlei Jian, Liang Hu, Longbing Cao, Kai Lu, Hang Gao |
| 2019 | AAAI | Multi-View Information-Theoretic Co-Clustering for Co-Occurrence Data. | Peng Xu, Zhaohong Deng, Kup-Sze Choi, Longbing Cao, Shitong Wang |
| 2019 | IJCAI | 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 |
| 2019 | IJCAI | Sequential Recommender Systems: Challenges, Progress and Prospects. | Shoujin Wang, Liang Hu, Yan Wang, Longbing Cao, Quan Z. Sheng, Mehmet A. Orgun |
| 2018 | AAAI | Coupled Poisson Factorization Integrated With User/Item Metadata for Modeling Popular and Sparse Ratings in Scalable Recommendation. | Trong Dinh Thac Do, Longbing Cao |
| 2018 | AAAI | Metric-Based Auto-Instructor for Learning Mixed Data Representation. | Songlei Jian, Liang Hu, Longbing Cao, Kai Lu |
| 2018 | AAAI | 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 |
| 2018 | AAAI | Attention-Based Transactional Context Embedding for Next-Item Recommendation. | Shoujin Wang, Liang Hu, Longbing Cao, Xiaoshui Huang, Defu Lian, Wei Liu |
| 2018 | ICDE | Interactive Probabilistic Post-Mining of User-Preferred Spatial Co-Location Patterns. | Lizhen Wang, Xuguang Bao, Longbing Cao |
| 2018 | ICONIP | Deep-PUMR: Deep Positive and Unlabeled Learning with Manifold Regularization. | Xingyu Chen, Fanghui Liu, Enmei Tu, Longbing Cao, Jie Yang |
| 2018 | IJCAI | Metadata-dependent Infinite Poisson Factorization for Efficiently Modelling Sparse and Large Matrices in Recommendation. | Trong Dinh Thac Do, Longbing Cao |
| 2018 | IJCAI | Interpretable Recommendation via Attraction Modeling: Learning Multilevel Attractiveness over Multimodal Movie Contents. | Liang Hu, Songlei Jian, Longbing Cao, Qingkui Chen |
| 2018 | IJCAI | CoupledCF: Learning Explicit and Implicit User-item Couplings in Recommendation for Deep Collaborative Filtering. | Quangui Zhang, Longbing Cao, Chengzhang Zhu, Zhiqiang Li, Jinguang Sun |
| 2018 | KDD | High-order Proximity Preserving Information Network Hashing. | Defu Lian, Kai Zheng, Vincent W. Zheng, Yong Ge, Longbing Cao, Ivor W. Tsang, Xing Xie |
| 2018 | KDD | Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection. | Guansong Pang, Longbing Cao, Ling Chen, Huan Liu |
| 2018 | PAKDD | Vine Copula-Based Asymmetry and Tail Dependence Modeling. | Jia Xu, Longbing Cao |
| 2018 | UIC | Coupled Collective Matrix Factorization. | Liying Zhang, Longbing Cao, Sheng Luo, Lei Gu, Yijin Chen, Yuanfeng Lian |
| 2017 | AAAI | Beyond IID: Learning to Combine Non-IID Metrics for Vision Tasks. | Yinghuan Shi, Wenbin Li, Yang Gao, Longbing Cao, Dinggang Shen |
| 2017 | CIKM | Selective Value Coupling Learning for Detecting Outliers in High-Dimensional Categorical Data. | Guansong Pang, Hongzuo Xu, Longbing Cao, Wentao Zhao |
| 2017 | DSAA | Copula-Based High Dimensional Cross-Market Dependence Modeling. | Jia Xu, Wei Wei, Longbing Cao |
| 2017 | IJCAI | Diversifying Personalized Recommendation with User-session Context. | Liang Hu, Longbing Cao, Shoujin Wang, Guandong Xu, Jian Cao, Zhiping Gu |
| 2017 | IJCAI | Embedding-based Representation of Categorical Data by Hierarchical Value Coupling Learning. | Songlei Jian, Longbing Cao, Guansong Pang, Kai Lu, Hang Gao |
| 2017 | IJCAI | Learning Homophily Couplings from Non-IID Data for Joint Feature Selection and Noise-Resilient Outlier Detection. | Guansong Pang, Longbing Cao, Ling Chen, Huan Liu |
| 2017 | KDD | Behavior Informatics to Discover Behavior Insight for Active and Tailored Client Management. | Longbing Cao |
| 2017 | KDD | Discrete Content-aware Matrix Factorization. | Defu Lian, Rui Liu, Yong Ge, Kai Zheng, Xing Xie, Longbing Cao |
| 2016 | ACIIDS | Improving the Performance of Collaborative Filtering with Category-Specific Neighborhood. | Karnam Dileep Kumar, Krishna Reddy Polepalli, Pailla Balakrishna Reddy, Longbing Cao |
| 2016 | ICDM | Unsupervised Feature Selection for Outlier Detection by Modelling Hierarchical Value-Feature Couplings. | Guansong Pang, Longbing Cao, Ling Chen, Huan Liu |
| 2016 | IJCAI | Copula Mixed-Membership Stochastic Blockmodel. | Xuhui Fan, Richard Yi Da Xu, Longbing Cao |
| 2016 | IJCAI | Outlier Detection in Complex Categorical Data by Modeling the Feature Value Couplings. | Guansong Pang, Longbing Cao, Ling Chen |
| 2016 | IJCNN | Training deep neural networks on imbalanced data sets. | Shoujin Wang, Wei Liu, Jia Wu, Longbing Cao, Qinxue Meng, Paul J. Kennedy |
| 2015 | AAAI | Deep Modeling Complex Couplings within Financial Markets. | Wei Cao, Liang Hu, Longbing Cao |
| 2015 | AAAI | Coupled Collaborative Filtering for Context-aware Recommendation. | Xinxin Jiang, Wei Liu, Longbing Cao, Guodong Long |
| 2015 | AAAI | Actionable Combined High Utility Itemset Mining. | Jingyu Shao, Junfu Yin, Wei Liu, Longbing Cao |
| 2015 | AAAI | Multi-View Actionable Patterns for Managing Traffic Bottleneck. | Xiaodong Yue, Longbing Cao, Yufei Chen, Bin Xu |
| 2015 | DSAA | Financial crisis and global market couplings. | Wei Cao, Yves Demazeau, Longbing Cao, Weidong Zhu |
| 2015 | DSAA | Document similarity analysis via involving both explicit and implicit semantic couplings. | Qianqian Chen, Liang Hu, Jia Xu, Wei Liu, Longbing Cao |
| 2015 | DSAA | Mining actionable combined patterns of high utility and frequency. | Jingyu Shao, Junfu Yin, Wei Liu, Longbing Cao |
| 2015 | ENTER | Analysing User Reviews in Tourism with Topic Models. | Marco Rossetti, Fabio Stella, Longbing Cao, Markus Zanker |
| 2015 | PAKDD | Coupling Multiple Views of Relations for Recommendation. | Bin Fu, Guandong Xu, Longbing Cao, Zhihai Wang, Zhiang Wu |
| 2015 | PAKDD | A Coupled k-Nearest Neighbor Algorithm for Multi-label Classification. | Chunming Liu, Longbing Cao |
| 2015 | PAKDD | Coupled Matrix Factorization Within Non-IID Context. | Fangfang Li, Guandong Xu, Longbing Cao |
| 2015 | SIGMOD | Online Video Recommendation in Sharing Community. | Xiangmin Zhou, Lei Chen, Yanchun Zhang, Longbing Cao, Guangyan Huang, Chen Wang |
| 2014 | AAAI | Deep Modeling of Group Preferences for Group-Based Recommendation. | Liang Hu, Jian Cao, Guandong Xu, Longbing Cao, Zhiping Gu, Wei Cao |
| 2014 | CIKM | Semantic Approximate Keyword Query Based on Keyword and Query Coupling Relationship Analysis. | Xiangfu Meng, Longbing Cao, Jingyu Shao |
| 2014 | DSAA | Welcome from DSAA 2014 chairs. | Philip S. Yu, Masaru Kitsuregawa, Hiroshi Motoda, Bart Goethals, Minyi Guo, Longbing Cao, George Karypis, Irwin King, Wei Wang |
| 2014 | ICDM | Bayesian Heteroskedastic Choice Modeling on Non-identically Distributed Linkages. | Liang Hu, Wei Cao, Jian Cao, Guandong Xu, Longbing Cao, Zhiping Gu |
| 2014 | IJCNN | Coupled fuzzy k-nearest neighbors classification of imbalanced non-IID categorical data. | Chunming Liu, Longbing Cao, Philip S. Yu |
| 2014 | IJCNN | A hybrid coupled k-nearest neighbor algorithm on imbalance data. | Chunming Liu, Longbing Cao, Philip S. Yu |
| 2014 | WISE | Coupled Item-Based Matrix Factorization. | Fangfang Li, Guandong Xu, Longbing Cao |
| 2014 | SDM | Modeling Asymmetry and Tail Dependence among Multiple Variables by Using Partial Regular Vine. | Wei Wei, Junfu Yin, Jinyan Li, Longbing Cao |
| 2013 | ICDE | Coupled clustering ensemble: Incorporating coupling relationships both between base clusterings and objects. | Can Wang, Zhong She, Longbing Cao |
| 2013 | ICDM | Leveraging Supervised Label Dependency Propagation for Multi-label Learning. | Bin Fu, Guandong Xu, Zhihai Wang, Longbing Cao |
| 2013 | ICDM | Efficiently Mining Top-K High Utility Sequential Patterns. | Junfu Yin, Zhigang Zheng, Longbing Cao, Yin Song, Wei Wei |
| 2013 | IJCAI | Cross-Domain Collaborative Filtering via Bilinear Multilevel Analysis. | Liang Hu, Jian Cao, Guandong Xu, Jie Wang, Zhiping Gu, Longbing Cao |
| 2013 | IJCAI | Coupled Attribute Analysis on Numerical Data. | Can Wang, Zhong She, Longbing Cao |
| 2013 | IJCNN | Coupled market behavior based financial crisis detection. | Wei Cao, Longbing Cao, Yin Song |
| 2013 | IJCNN | Coupled term-term relation analysis for document clustering. | Xin Cheng, Duoqian Miao, Can Wang, Longbing Cao |
| 2013 | IJCNN | CRNN: Integrating classification rules into neural network. | Wei Li, Longbing Cao, Dazhe Zhao, Xia Cui, Jinzhu Yang |
| 2013 | IJCNN | Extracting discriminative features for identifying abnormal sequences in one-class mode. | Yin Song, Longbing Cao, Junfu Yin, Cheng Wang |
| 2013 | PAKDD | Mining Frequent Patterns from Human Interactions in Meetings Using Directed Acyclic Graphs. | Anna Fariha, Chowdhury Farhan Ahmed, Carson Kai-Sang Leung, S. M. Abdullah, Longbing Cao |
| 2013 | PAKDD | Optimal Allocation of High Dimensional Assets through Canonical Vines. | Wei Wei, Jinyan Li, Longbing Cao, Jingguang Sun, Chunming Liu, Mu Li |
| 2013 | PAKDD | A Coupled Clustering Approach for Items Recommendation. | Yonghong Yu, Can Wang, Yang Gao, Longbing Cao, Xixi Chen |
| 2013 | PAKDD | Erratum: A Coupled Clustering Approach for Items Recommendation. | Yonghong Yu, Can Wang, Yang Gao, Longbing Cao, Qianqian Chen |
| 2013 | WWW | Personalized recommendation via cross-domain triadic factorization. | Liang Hu, Jian Cao, Guandong Xu, Longbing Cao, Zhiping Gu, Can Zhu |
| 2013 | WISE | CGMF: Coupled Group-Based Matrix Factorization for Recommender System. | Fangfang Li, Guandong Xu, Longbing Cao, Xiaozhong Fan, Zhendong Niu |
| 2013 | SDM | Robust Textual Data Streams Mining Based on Continuous Transfer Learning. | Longbing Cao, Zhifeng Hao, Bo Liu, Yanshan Xiao, Philip S. Yu |
| 2013 | SDM | Efficient Selection of Globally Optimal Rules on Large Imbalanced Data Based on Rule Coverage Relationship Analysis. | Longbing Cao, Jinjiu Li, Can Wang, Philip S. Yu |
| 2012 | AAAI | A Theoretical Framework of the Graph Shift Algorithm. | Xuhui Fan, Longbing Cao |
| 2012 | AAAI | CCE: A Coupled Framework of Clustering Ensembles. | Zhong She, Can Wang, Longbing Cao |
| 2012 | CEC | A novel auto-parameters selection process for image segmentation. | Yunzhi Jiang, Pohsiang Tsai, Zhifeng Hao, Longbing Cao |
| 2012 | CEC | Multiobjective evolutionary algorithm-based soft subspace clustering. | Lin Zhu, Longbing Cao, Jie Yang |
| 2012 | CIKM | Maximum margin clustering on evolutionary data. | Xuhui Fan, Lin Zhu, Longbing Cao, Xia Cui, Yew-Soon Ong |
| 2012 | CIKM | Model the complex dependence structures of financial variables by using canonical vine. | Wei Wei, Xuhui Fan, Jinyan Li, Longbing Cao |
| 2012 | IJCNN | Graph-based coupled behavior analysis: A case study on detecting collaborative manipulations in stock markets. | Yin Song, Longbing Cao |
| 2012 | KDD | Coupled behavior analysis for capturing coupling relationships in group-based market manipulations. | Yin Song, Longbing Cao, Xindong Wu, Gang Wei, Wu Ye, Wei Ding |
| 2012 | KDD | USpan: an efficient algorithm for mining high utility sequential patterns. | Junfu Yin, Zhigang Zheng, Longbing Cao |
| 2012 | PAKDD | CD: A Coupled Discretization Algorithm. | Can Wang, Mingchun Wang, Zhong She, Longbing Cao |
| 2011 | CIKM | e-NSP: efficient negative sequential pattern mining based on identified positive patterns without database rescanning. | Xiangjun Dong, Zhigang Zheng, Longbing Cao, Yanchang Zhao, Chengqi Zhang, Jinjiu Li, Wei Wei, Yuming Ou |
| 2011 | CIKM | Coupled nominal similarity in unsupervised learning. | Can Wang, Longbing Cao, Mingchun Wang, Jinjiu Li, Wei Wei, Yuming Ou |
| 2011 | IJCAI | Similarity-Based Approach for Positive and Unlabeled Learning. | Yanshan Xiao, Bo Liu, Jie Yin, Longbing Cao, Chengqi Zhang, Zhifeng Hao |
| 2011 | SDM | One-Class-Based Uncertain Data Stream Learning. | Bo Liu, Yanshan Xiao, Longbing Cao, Philip S. Yu |
| 2010 | CIKM | Orientation distance-based discriminative feature extraction for multi-class classification. | Bo Liu, Yanshan Xiao, Longbing Cao, Philip S. Yu |
| 2010 | CIKM | K-farthest-neighbors-based concept boundary determination for support vector data description. | Yanshan Xiao, Bo Liu, Longbing Cao |
| 2010 | ICDM | Vote-Based LELC for Positive and Unlabeled Textual Data Streams. | Bo Liu, Yanshan Xiao, Longbing Cao, Philip S. Yu |
| 2010 | ICDM | Exploiting Local Data Uncertainty to Boost Global Outlier Detection. | Bo Liu, Jie Yin, Yanshan Xiao, Longbing Cao, Philip S. Yu |
| 2010 | ICDM | i-Analyst: An Agent-Based Distributed Data Mining Platform. | Chayapol Moemeng, Xinhua Zhu, Longbing Cao, Jiahang Chen |
| 2010 | ICDM | SMILE: A Similarity-Based Approach for Multiple Instance Learning. | Yanshan Xiao, Bo Liu, Longbing Cao, Jie Yin, Xindong Wu |
| 2010 | ICDM | Less Effort, More Outcomes: Optimising Debt Recovery with Decision Trees. | Yanchang Zhao, Hans Bohlscheid, Shanshan Wu, Longbing Cao |
| 2010 | ICMLC | Enhanced co-occurrence distances for categorical data in unsupervised learning. | Jia-Yi Feng, Mingchun Wang, Can Wang, Longbing Cao |
| 2010 | IJCNN | Testing Adaptive Local Hyperplane for multi-class classification by double cross-validation. | Tao Yang, Vojislav Kecman, Longbing Cao, Chengqi Zhang |
| 2010 | KDD | Detecting abnormal coupled sequences and sequence changes in group-based manipulative trading behaviors. | Longbing Cao, Yuming Ou, Philip S. Yu, Gang Wei |
| 2010 | PAKDD | A Novel Prototype Reduction Method for the | Tao Yang, Longbing Cao, Chengqi Zhang |
| 2010 | PAKDD | Combining Support Vector Machines and the | Tao Yang, Vojislav Kecman, Longbing Cao, Chengqi Zhang |
| 2010 | PAKDD | An Efficient GA-Based Algorithm for Mining Negative Sequential Patterns. | Zhigang Zheng, Yanchang Zhao, Ziye Zuo, Longbing Cao |
| 2010 | PRICAI | Time-Sensitive Feature Mining for Temporal Sequence Classification. | Yong Yang, Longbing Cao, Li Liu |
| 2009 | ADMA | Data Mining in Financial Markets. | Longbing Cao |
| 2009 | AusDM | Negative-GSP: An Efficient Method for Mining Negative Sequential Patterns. | Zhigang Zheng, Yanchang Zhao, Ziye Zuo, Longbing Cao |
| 2009 | EDOC | Editorial to the Proceedings of mobile technologies in enterprise computing systems workshop (MTECS 2009). | Tiong-Thye Goh, Siddhartha Bose, Wee Keong Ng, Longbing Cao, Vincent C. S. Lee |
| 2009 | ICDM | Multi-sphere Support Vector Data Description for Outliers Detection on Multi-distribution Data. | Yanshan Xiao, Bo Liu, Longbing Cao, Xindong Wu, Chengqi Zhang, Zhifeng Hao, Fengzhao Yang, Jie Cao |
| 2009 | ICDM | A Cost-Effective LSH Filter for Fast Pairwise Mining. | Gang Zhao, Yun Xiong, Longbing Cao, Dan Luo, Xuchun Su, Yangyong Zhu |
| 2009 | KSEM | Debt Detection in Social Security by Adaptive Sequence Classification. | Shanshan Wu, Yanchang Zhao, Huaifeng Zhang, Chengqi Zhang, Longbing Cao, Hans Bohlscheid |
| 2009 | PAKDD | Mining Both Positive and Negative Impact-Oriented Sequential Rules from Transactional Data. | Yanchang Zhao, Huaifeng Zhang, Longbing Cao, Chengqi Zhang, Hans Bohlscheid |
| 2009 | SMC | Expression-invariant Facial Identification. | Pohsiang Tsai, Tich Phuoc Tran, Longbing Cao |
| 2008 | COMPSAC | Metasynthetic Computing for Solving Open Complex Problems. | Longbing Cao |
| 2008 | COMPSAC | Message from the EOCS-MCP 2008 Workshop Organizers. | Longbing Cao, Ruwei Dai, Vladimir I. Gorodetski |
| 2008 | COMPSAC | EOCS-MCP 2008 Workshop Organization. | Longbing Cao, Ruwei Dai, Vladimir I. Gorodetski |
| 2008 | ICDM | Domain Driven Data Mining (D3M). | Longbing Cao |
| 2008 | ICDM | Behavior Informatics and Analytics: Let Behavior Talk. | Longbing Cao |
| 2008 | ICDM | Multi-Space-Mapped SVMs for Multi-class Classification. | Bo Liu, Longbing Cao, Philip S. Yu, Chengqi Zhang |
| 2008 | PAKDD | Combined Association Rule Mining. | Huaifeng Zhang, Yanchang Zhao, Longbing Cao, Chengqi Zhang |
| 2008 | PRICAI | Outlier Mining on Multiple Time Series Data in Stock Market. | Chao Luo, Yanchang Zhao, Longbing Cao, Yuming Ou, Li Liu |
| 2008 | PRICAI | Domain-Driven Local Exceptional Pattern Mining for Detecting Stock Price Manipulation. | Yuming Ou, Longbing Cao, Chao Luo, Chengqi Zhang |
| 2007 | PAKDD | Towards Business Interestingness in Actionable Knowledge Discovery. | Dan Luo, Longbing Cao, Chao Luo, Chengqi Zhang, Weiyuan Wang |
| 2007 | PAKDD | Mining High Impact Exceptional Behavior Patterns. | Longbing Cao, Yanchang Zhao, Fernando Figueiredo, Yuming Ou, Dan Luo |
| 2007 | PAKDD | Evolutionary Optimization of Trading Strategies. | Jiarui Ni, Longbing Cao, Chengqi Zhang |
| 2006 | ADMA | Activity Mining: Challenges and Prospects. | Longbing Cao |
| 2006 | APWEB | Ontological Engineering in Data Warehousing. | Longbing Cao, Jiarui Ni, Dan Luo |
| 2006 | AusDM | Discovering Debtor Patterns of Centrelink Customers. | Yanchang Zhao, Longbing Cao, Yvonne Morrow, Yuming Ou, Jiarui Ni, Chengqi Zhang |
| 2006 | PAKDD | Domain-Driven Actionable Knowledge Discovery in the Real World. | Longbing Cao, Chengqi Zhang |
| 2006 | PRICAI | Fuzzy Genetic Algorithms for Pairs Mining. | Longbing Cao, Dan Luo, Chengqi Zhang |
| 2004 | HIS | Integrative Early Requirements Analysis for Agent-Based Systems. | Longbing Cao, Chengqi Zhang, Dan Luo, Wanli Chen, Neda Zamani |
| 2004 | PRICAI | Ontology Services-Based Information Integration in Mining Telecom Business Intelligence. | Longbing Cao, Chao Luo, Dan Luo, Li Liu |
| 2003 | HIS | Systematic Engineering in Designing Architecture of Telecommunications Business Intelligence System. | Longbing Cao, Dan Luo, Chao Luo, Chengqi Zhang |
| 2003 | ISMIS | Theoretical Evaluation of Ring-Based Architectural Model for Middle Agents in Agent-Based System. | Chunsheng Li, Chengqi Zhang, Longbing Cao |
| 2003 | SEKE | Open Giant Intelligent Information Systems and Its Agent-Oriented Analysis and Design. | Longbing Cao, Chunsheng Li, Chengqi Zhang, Ruwei Dai |