Longbing Cao - RankMe

534 papers A* 74A 18B 36C 9Misc 3Journal 289Unranked 72

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Visual Autoregressive Acceleration via Dual-Linkage Entropy Analysis. CoRR Yu Zhang, Jingyi Liu, Feng Liu, Duoqian Miao, Qi Zhang, Kexue Fu, Changwei Wang, Longbing Cao
2026	A*	`conf`	CliCARE: Grounding Large Language Models in Clinical Guidelines for Decision Support over Longitudinal Cancer Electronic Health Records. AAAI Dongchen Li, Jitao Liang, Wei Li, Xiaoyu Wang, Longbing Cao, Kun Yu
2026	J	`jnl`	Federated neural nonparametric point processes. Artif. Intell. Hui Chen, Xuhui Fan, Hengyu Liu, Yaqiong Li, Zhi-Lin Zhao, Feng Zhou, Christopher John Quinn, Longbing Cao
2026	J	`jnl`	Humanoid Robots and Humanoid AI: Review, Perspectives and Directions. ACM Comput. Surv. Longbing Cao
2026	J	`jnl`	Learning Physiology-Informed Vocal Spectrotemporal Representations for Speech Emotion Recognition. CoRR Xu Zhang, Longbing Cao, Runze Yang, Zhangkai Wu
2026	J	`jnl`	MLOW: Interpretable Low-Rank Frequency Magnitude Decomposition of Multiple Effects for Time Series Forecasting. CoRR Runze Yang, Longbing Cao, Xiao-Ming Wu, Xin You, Kun Fang, Jianxun Li, Jie Yang
2026	J	`jnl`	NeuralSEIR: Modeling uncertainty in non-pharmaceutical interventions with neural epidemic dynamics. Pattern Recognit. Hu Cao, Longbing Cao
2026	A*	`conf`	PatchET: Learning Enzyme Temperature Properties Through Patch-Based Neural Architectures. AAAI Ziqi Zhang, Runze Yang, Longbing Cao, Zhaohong Deng
2026	A*	`conf`	Stabilizing Spiking Neurons Through Biologically Inspired Polarization. AAAI Matthew Lai, Longbing Cao
2026	J	`jnl`	Swordsman: Entropy-Driven Adaptive Block Partition for Efficient Diffusion Language Models. CoRR Yu Zhang, Xinchen Li, Jialei Zhou, Hongnan Ma, Zhongwei Wan, Yiwei Shi, Duoqian Miao, Qi Zhang, Longbing Cao
2026	J	`jnl`	VividFace: Real-Time and Realistic Facial Expression Shadowing for Humanoid Robots. CoRR Peizhen Li, Longbing Cao, Xiao-Ming Wu, Yang Zhang
2025	—	`conf`	A Survey on Deep Learning based Time Series Analysis with Frequency Transformation. KDD (2) Kun Yi, Qi Zhang, Wei Fan, Longbing Cao, Shoujin Wang, Hui He, Guodong Long, Liang Hu, Qingsong Wen, Hui Xiong
2025	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part I PAKDD (1) Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Yanqiu Wu, Yu Yao, Zhangkai Wu
2025	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part II PAKDD (2) Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Yanqiu Wu, Yu Yao, Zhangkai Wu
2025	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part III PAKDD (3) Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Yanqiu Wu, Yu Yao, Zhangkai Wu
2025	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part IV PAKDD (4) Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Yanqiu Wu, Yu Yao, Zhangkai Wu
2025	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part V PAKDD (5) Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Yanqiu Wu, Yu Yao, Zhangkai Wu
2025	J	`jnl`	COVID-19 Modeling: A Review. ACM Comput. Surv. Longbing Cao, Qing Liu
2025	J	`jnl`	CliCARE: Grounding Large Language Models in Clinical Guidelines for Decision Support over Longitudinal Cancer Electronic Health Records. CoRR Dongchen Li, Jitao Liang, Wei Li, Xiaoyu Wang, Longbing Cao, Kun Yu
2025	—	`ed.`	Data Science: Foundations and Applications - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, Australia, June 10-13, 2025, Proceedings, Part VII PAKDD (7) Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Xiangmin Zhou, Guansong Pang, João Gama
2025	—	`ed.`	Data Science: Foundations and Applications - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part VI PAKDD (6) Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Xiangmin Zhou, Guansong Pang, João Gama
2025	J	`jnl`	Distilling the Unknown to Unveil Certainty. IEEE Trans. Pattern Anal. Mach. Intell. Zhi-Lin Zhao, Longbing Cao, Yixuan Zhang, Kun-Yu Lin, Wei-Shi Zheng
2025	J	`jnl`	Distributional Drift Adaptation With Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting. IEEE Trans. Neural Networks Learn. Syst. Hui He, Qi Zhang, Kun Yi, Kaize Shi, Zhendong Niu, Longbing Cao
2025	A*	`conf`	Dynamic Spectral Graph Anomaly Detection. AAAI Jianbo Zheng, Chao Yang, Tairui Zhang, Longbing Cao, Bin Jiang, Xuhui Fan, Xiao-Ming Wu, Xianxun Zhu
2025	J	`jnl`	Enhanced Influence-aware Group Recommendation for Online Media Propagation. CoRR Chengkun He, Xiangmin Zhou, Chen Wang, Longbing Cao, Jie Shao, Xiaodong Li, Guang Xu, Carrie Jinqiu Hu, Zahir Tari
2025	J	`jnl`	Enhancing Text-to-Image Diffusion Transformer via Split-Text Conditioning. CoRR Yu Zhang, Jialei Zhou, Xinchen Li, Qi Zhang, Zhongwei Wan, Tianyu Wang, Duoqian Miao, Changwei Wang, Longbing Cao
2025	J	`jnl`	FAME: Fairness-aware Attention-modulated Video Editing. CoRR Zhangkai Wu, Xuhui Fan, Zhongyuan Xie, Kaize Shi, Zhidong Li, Longbing Cao
2025	J	`jnl`	FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification. IEEE Trans. Neural Networks Learn. Syst. Hui Chen, Hengyu Liu, Zhangkai Wu, Xuhui Fan, Longbing Cao
2025	J	`jnl`	FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization. CoRR Hui Chen, Xuhui Fan, Zhangkai Wu, Longbing Cao
2025	J	`jnl`	Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting. CoRR Runze Yang, Longbing Cao, Xin You, Kun Fang, Jianxun Li, Jie Yang
2025	J	`jnl`	Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of Brain Networks. IEEE Trans. Pattern Anal. Mach. Intell. Jiaxing Miao, Liang Hu, Qi Zhang, Longbing Cao
2025	J	`jnl`	Gray Learning From Non-IID Data With Out-of-Distribution Samples. IEEE Trans. Neural Networks Learn. Syst. Zhi-Lin Zhao, Longbing Cao, Chang-Dong Wang
2025	J	`jnl`	Kernel PCA for Out-of-Distribution Detection: Non-Linear Kernel Selections and Approximations. CoRR Kun Fang, Qinghua Tao, Mingzhen He, Kexin Lv, Runze Yang, Haibo Hu, Xiaolin Huang, Jie Yang, Longbing Cao
2025	J	`jnl`	Learning When to Ask: Simulation-Trained Humanoids for Mental-Health Diagnosis. CoRR Filippo Cenacchi, Debbie Richards, Longbing Cao
2025	J	`jnl`	Markovian Scale Prediction: A New Era of Visual Autoregressive Generation. CoRR Yu Zhang, Jingyi Liu, Yiwei Shi, Qi Zhang, Duoqian Miao, Changwei Wang, Longbing Cao
2025	A*	`conf`	Mixture of Online and Offline Experts for Non-Stationary Time Series. AAAI Zhilin Zhao, Longbing Cao, Yuan-Yu Wan
2025	J	`jnl`	Modeling Enzyme Temperature Stability from Sequence Segment Perspective. J. Chem. Inf. Model. Ziqi Zhang, Shiheng Chen, Runze Yang, Zhisheng Wei, Wei Zhang, Lei Wang, Zhanzhi Liu, Fengshan Zhang, Jing Wu, Xiaoyong Pan, Hongbin Shen, Longbing Cao, Zhaohong Deng
2025	J	`jnl`	Modeling enzyme temperature stability from sequence segment perspective. CoRR Ziqi Zhang, Shiheng Chen, Runze Yang, Zhisheng Wei, Wei Zhang, Lei Wang, Zhanzhi Liu, Fengshan Zhang, Jing Wu, Xiaoyong Pan, Hongbin Shen, Longbing Cao, Zhaohong Deng
2025	J	`jnl`	Nested AutoRegressive Models. CoRR Hongyu Wu, Xuhui Fan, Zhangkai Wu, Longbing Cao
2025	A*	`conf`	Out-of-Distribution Detection by Regaining Lost Clues (Abstract Reprint). IJCAI Zhilin Zhao, Longbing Cao, Philip S. Yu
2025	J	`jnl`	Out-of-distribution detection by regaining lost clues. Artif. Intell. Zhilin Zhao, Longbing Cao, Philip S. Yu
2025	J	`jnl`	Passive Dementia Screening via Facial Temporal Micro-Dynamics Analysis of In-the-Wild Talking-Head Video. CoRR Filippo Cenacchi, Longbing Cao, Mitchell W. McEwan, Debbie Richards
2025	J	`jnl`	PatentMind: A Multi-Aspect Reasoning Graph for Patent Similarity Evaluation. CoRR Yongmin Yoo, Qiongkai Xu, Longbing Cao
2025	A*	`conf`	PatentScore: Multi-dimensional Evaluation of LLM-Generated Patent Claims. EMNLP Yongmin Yoo, Qiongkai Xu, Longbing Cao
2025	J	`jnl`	PatentScore: Multi-dimensional Evaluation of LLM-Generated Patent Claims. CoRR Yongmin Yoo, Qiongkai Xu, Longbing Cao
2025	—	`conf`	ProgDiffusion: Progressively Self-encoding Diffusion Models. KDD (1) Zhangkai Wu, Xuhui Fan, Longbing Cao
2025	J	`jnl`	Quantifying the waning effect of non-pharmaceutical interventions with case study in COVID-19. Int. J. Data Sci. Anal. Hu Cao, Longbing Cao, Shiqiang Jin
2025	J	`jnl`	Revealing Multimodal Causality with Large Language Models. CoRR Jin Li, Shoujin Wang, Qi Zhang, Feng Liu, Tongliang Liu, Longbing Cao, Shui Yu, Fang Chen
2025	J	`jnl`	Robust Multivariate Time Series Forecasting Against Intraseries and Interseries Transitional Shift. IEEE Trans. Neural Networks Learn. Syst. Hui He, Qi Zhang, Kun Yi, Xiaojun Xue, Shoujin Wang, Liang Hu, Longbing Cao
2025	J	`jnl`	Self-Filtered Distillation with LLMs-generated Trust Indicators for Reliable Patent Classification. CoRR Yongmin Yoo, Xu Zhang, Longbing Cao
2025	J	`jnl`	Semantic Relation Guided Dual-view Contrastive Learning for Session-based Recommendations. ACM Trans. Inf. Syst. Qian Zhang, Shoujin Wang, Longbing Cao, Defu Lian, Haibo Zhang, Wenpeng Lu
2025	—	`conf`	SepDiff: Self-Encoding Parameter Diffusion for Learning Latent Semantics. KDD (2) Zhangkai Wu, Xuhui Fan, Jin Li, Zhilin Zhao, Hui Chen, Longbing Cao
2025	J	`jnl`	SimClinician: A Multimodal Simulation Testbed for Reliable Psychologist AI Collaboration in Mental Health Diagnosis. CoRR Filippo Cenacchi, Longbing Cao, Debbie Richards
2025	J	`jnl`	TraFlow: Trajectory Distillation on Pre-Trained Rectified Flow. CoRR Zhangkai Wu, Xuhui Fan, Hongyu Wu, Longbing Cao
2025	J	`jnl`	Trans-AI/DS: transformative, transdisciplinary and translational artificial intelligence and data science. Int. J. Data Sci. Anal. Longbing Cao
2025	J	`jnl`	Tri-Modal Severity Fused Diagnosis across Depression and Post-traumatic Stress Disorders. CoRR Filippo Cenacchi, Deborah Richards, Longbing Cao
2025	A*	`conf`	UGotMe: An Embodied System for Affective Human-Robot Interaction. ICRA Peizhen Li, Longbing Cao, Xiao-Ming Wu, Xiaohan Yu, Runze Yang
2025	J	`jnl`	VALA: Learning Latent Anchors for Training-Free and Temporally Consistent. CoRR Zhangkai Wu, Xuhui Fan, Zhongyuan Xie, Kaize Shi, Longbing Cao
2025	J	`jnl`	Variational Hierarchical N-BEATS Model for Long-Term Time-Series Forecasting. IEEE Trans. Neural Networks Learn. Syst. Runze Yang, Longbing Cao, Jianxun Li, Jie Yang
2025	J	`jnl`	X2C: A Dataset Featuring Nuanced Facial Expressions for Realistic Humanoid Imitation. CoRR Peizhen Li, Longbing Cao, Xiao-Ming Wu, Runze Yang, Xiaohan Yu
2025	J	`jnl`	eVAE: Evolutionary Variational Autoencoder. IEEE Trans. Neural Networks Learn. Syst. Zhangkai Wu, Longbing Cao, Lei Qi
2024	J	`jnl`	AI Robots and Humanoid AI: Review, Perspectives and Directions. CoRR Longbing Cao
2024	J	`jnl`	Ai4tech: X-AI enabling X-Tech with human-like, generative, decentralized, humanoid and metaverse AI. Int. J. Data Sci. Anal. Longbing Cao
2024	J	`jnl`	Can LLMs Serve As Time Series Anomaly Detectors? CoRR Manqing Dong, Hao Huang, Longbing Cao
2024	J	`jnl`	Causal Learning for Trustworthy Recommender Systems: A Survey. CoRR Jin Li, Shoujin Wang, Qi Zhang, Longbing Cao, Fang Chen, Xiuzhen Zhang, Dietmar Jannach, Charu C. Aggarwal
2024	J	`jnl`	Copula Variational LSTM for High-Dimensional Cross-Market Multivariate Dependence Modeling. IEEE Trans. Neural Networks Learn. Syst. Jia Xu, Longbing Cao
2024	J	`jnl`	DE CoRR Jianing He, Qi Zhang, Weiping Ding, Duoqian Miao, Jun Zhao, Liang Hu, Longbing Cao
2024	J	`jnl`	Deep Multidilation Temporal and Spatial Dependence Modeling in Stereoscopic 3-D EEG for Visual Discomfort Assessment. IEEE Trans. Syst. Man Cybern. Syst. Yawen Zheng, Xiaojie Zhao, Li Yao, Longbing Cao
2024	J	`jnl`	Explicit and Implicit Pattern Relation Analysis for Discovering Actionable Negative Sequences. IEEE Trans. Neural Networks Learn. Syst. Wei Wang, Longbing Cao
2024	J	`jnl`	FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification. CoRR Hui Chen, Hengyu Liu, Zhangkai Wu, Xuhui Fan, Longbing Cao
2024	J	`jnl`	Federated Neural Nonparametric Point Processes. CoRR Hui Chen, Hengyu Liu, Yaqiong Li, Xuhui Fan, Zhilin Zhao, Feng Zhou, Christopher John Quinn, Longbing Cao
2024	A*	`conf`	Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector. AAAI An Lao, Qi Zhang, Chongyang Shi, Longbing Cao, Kun Yi, Liang Hu, Duoqian Miao
2024	—	`book`	Global COVID-19 Research and Modeling - A Historical Record, 1 Longbing Cao
2024	J	`jnl`	Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of Brain Networks. CoRR Jiaxing Miao, Liang Hu, Qi Zhang, Longbing Cao
2024	A*	`conf`	Influence-Aware Group Recommendation for Social Media Propagation. ICDM Chengkun He, Xiangmin Zhou, Chen Wang, Longbing Cao, Jie Shao, Zahir Tari
2024	J	`jnl`	Learning Informative Representation for Fairness-Aware Multivariate Time-Series Forecasting: A Group-Based Perspective. IEEE Trans. Knowl. Data Eng. Hui He, Qi Zhang, Shoujin Wang, Kun Yi, Zhendong Niu, Longbing Cao
2024	J	`jnl`	Marked Temporal Bayesian Flow Point Processes. CoRR Hui Chen, Xuhui Fan, Hengyu Liu, Longbing Cao
2024	J	`jnl`	Out-of-Distribution Detection by Cross-Class Vicinity Distribution of In-Distribution Data. IEEE Trans. Neural Networks Learn. Syst. Zhi-Lin Zhao, Longbing Cao, Kun-Yu Lin
2024	J	`jnl`	ParamReL: Learning Parameter Space Representation via Progressively Encoding Bayesian Flow Networks. CoRR Zhangkai Wu, Xuhui Fan, Jin Li, Zhilin Zhao, Hui Chen, Longbing Cao
2024	J	`jnl`	Probing the Robustness of Vision-Language Pretrained Models: A Multimodal Adversarial Attack Approach. CoRR Jiwei Guan, Tianyu Ding, Longbing Cao, Lei Pan, Chen Wang, Xi Zheng
2024	A*	`conf`	Rethinking Fourier Transform from A Basis Functions Perspective for Long-term Time Series Forecasting. NeurIPS Runze Yang, Longbing Cao, Jie Yang, Jianxun Li
2024	A*	`conf`	Revealing Distribution Discrepancy by Sampling Transfer in Unlabeled Data. NeurIPS Zhilin Zhao, Longbing Cao, Xuhui Fan, Wei-Shi Zheng
2024	J	`jnl`	Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift. CoRR Hui He, Qi Zhang, Kun Yi, Xiaojun Xue, Shoujin Wang, Liang Hu, Longbing Cao
2024	J	`jnl`	UGotMe: An Embodied System for Affective Human-Robot Interaction. CoRR Peizhen Li, Longbing Cao, Xiao-Ming Wu, Xiaohan Yu, Runze Yang
2024	J	`jnl`	Weakly Augmented Variational Autoencoder in Time Series Anomaly Detection. CoRR Zhangkai Wu, Longbing Cao, Qi Zhang, Junxian Zhou, Hui Chen
2024	J	`jnl`	Weighting non-IID batches for out-of-distribution detection. Mach. Learn. Zhi-Lin Zhao, Longbing Cao
2023	J	`jnl`	AI and data science for smart emergency, crisis and disaster resilience. Int. J. Data Sci. Anal. Longbing Cao
2023	J	`jnl`	AI in Finance: Challenges, Techniques, and Opportunities. ACM Comput. Surv. Longbing Cao
2023	J	`jnl`	An Efficient Method for Modeling Nonoccurring Behaviors by Negative Sequential Patterns With Loose Constraints. IEEE Trans. Neural Networks Learn. Syst. Ping Qiu, Yongshun Gong, Yuhai Zhao, Longbing Cao, Chengqi Zhang, Xiangjun Dong
2023	B	`conf`	An Unsupervised Hierarchical Clustering Approach to Improve Hopfield Retrieval Accuracy. IJCNN Matthew Lai, Longbing Cao, Haiyan Lu, Quang Ha, Li Li, Md. Jahangir Hossain, Paul J. Kennedy
2023	J	`jnl`	Bayesian Federated Learning: A Survey. CoRR Longbing Cao, Hui Chen, Xuhui Fan, João Gama, Yew-Soon Ong, Vipin Kumar
2023	J	`jnl`	Bayesian Personalized Federated Learning with Shared and Personalized Uncertainty Representations. CoRR Hui Chen, Hengyu Liu, Longbing Cao, Tiancheng Zhang
2023	J	`jnl`	BiT-MAC: Mortality prediction by bidirectional time and multi-feature attention coupled network on multivariate irregular time series. Comput. Biol. Medicine Qinfen Wang, Geng Chen, Xuting Jin, Siyuan Ren, Gang Wang, Longbing Cao, Yong Xia
2023	J	`jnl`	C CoRR Zhangkai Wu, Longbing Cao
2023	J	`jnl`	ClinicLens: Visual Analytics for Exploring and Optimizing the Testing Capacity of Clinics given Uncertainty. CoRR Yu Dong, Jie Liang, Longbing Cao, Daniel R. Catchpoole
2023	J	`jnl`	Copula Variational LSTM for High-dimensional Cross-market Multivariate Dependence Modeling. CoRR Jia Xu, Longbing Cao
2023	B	`conf`	Deep Spectral Copula Mechanisms Modeling Coupled and Volatile Multivariate Time Series. DSAA Yang Yang, Zhilin Zhao, Longbing Cao
2023	J	`jnl`	Dual Representation Learning for Out-of-distribution Detection. Trans. Mach. Learn. Res. Zhilin Zhao, Longbing Cao
2023	A*	`conf`	FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective. NeurIPS Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu
2023	J	`jnl`	FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective. CoRR Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu
2023	J	`jnl`	Frequency Spectrum is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector. CoRR An Lao, Qi Zhang, Chongyang Shi, Longbing Cao, Kun Yi, Liang Hu, Duoqian Miao
2023	A*	`conf`	Frequency-domain MLPs are More Effective Learners in Time Series Forecasting. NeurIPS Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Ning An, Defu Lian, Longbing Cao, Zhendong Niu
2023	J	`jnl`	Frequency-domain MLPs are More Effective Learners in Time Series Forecasting. CoRR Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Defu Lian, Ning An, Longbing Cao, Zhendong Niu
2023	J	`jnl`	Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based Perspective. CoRR Hui He, Qi Zhang, Shoujin Wang, Kun Yi, Zhendong Niu, Longbing Cao
2023	B	`conf`	MTSNet: Deep Probabilistic Cross-multivariate Time Series Modeling with External Factors for COVID-19. IJCNN Yang Yang, Longbing Cao
2023	J	`jnl`	Modeling User Demand Evolution for Next-Basket Prediction. IEEE Trans. Knowl. Data Eng. Shoujin Wang, Yan Wang, Liang Hu, Xiuzhen Zhang, Qi Zhang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Defu Lian
2023	J	`jnl`	Out-of-Distribution Knowledge Distillation via Confidence Amendment. CoRR Zhilin Zhao, Longbing Cao, Yixuan Zhang
2023	A*	`conf`	R-divergence for Estimating Model-oriented Distribution Discrepancy. NeurIPS Zhilin Zhao, Longbing Cao
2023	J	`jnl`	R-divergence for Estimating Model-oriented Distribution Discrepancy. CoRR Zhilin Zhao, Longbing Cao
2023	J	`jnl`	Revealing the Distributional Vulnerability of Discriminators by Implicit Generators. IEEE Trans. Pattern Anal. Mach. Intell. Zhi-Lin Zhao, Longbing Cao, Kun-Yu Lin
2023	J	`jnl`	Supervision Adaptation Balancing In-Distribution Generalization and Out-of-Distribution Detection. IEEE Trans. Pattern Anal. Mach. Intell. Zhilin Zhao, Longbing Cao, Kun-Yu Lin
2023	J	`jnl`	Trans-AI/DS: transformative, transdisciplinary and translational artificial intelligence and data science. Int. J. Data Sci. Anal. Longbing Cao
2023	J	`jnl`	eVAE: Evolutionary Variational Autoencoder. CoRR Zhangkai Wu, Longbing Cao, Lei Qi
2022	J	`jnl`	A New Age of AI: Features and Futures. IEEE Intell. Syst. Longbing Cao
2022	A*	`conf`	A Probabilistic Code Balance Constraint with Compactness and Informativeness Enhancement for Deep Supervised Hashing. IJCAI Qi Zhang, Liang Hu, Longbing Cao, Chongyang Shi, Shoujin Wang, Dora D. Liu
2022	J	`jnl`	A Survey on Session-based Recommender Systems. ACM Comput. Surv. Shoujin Wang, Longbing Cao, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Defu Lian
2022	J	`jnl`	AI Science and Engineering. IEEE Intell. Syst. Longbing Cao
2022	J	`jnl`	AI Science and Engineering: A New Field. IEEE Intell. Syst. Longbing Cao
2022	J	`jnl`	AI in Combating the COVID-19 Pandemic. IEEE Intell. Syst. Longbing Cao
2022	A*	`conf`	ANDEA: Anomaly and Novelty Detection, Explanation, and Accommodation. KDD Guansong Pang, Jundong Li, Anton van den Hengel, Longbing Cao, Thomas G. Dietterich
2022	J	`jnl`	AutoAI: Autonomous AI. IEEE Intell. Syst. Longbing Cao
2022	J	`jnl`	Beyond AutoML: Mindful and Actionable AI and AutoAI With Mind and Action. IEEE Intell. Syst. Longbing Cao
2022	J	`jnl`	Beyond i.i.d.: Non-IID Thinking, Informatics, and Learning. IEEE Intell. Syst. Longbing Cao
2022	J	`jnl`	CoupledMUTS: Coupled Multivariate Utility Time-Series Representation and Prediction. IEEE Internet Things J. Siyuan Ren, Bin Guo, Ke Li, Qianru Wang, Zhiwen Yu, Longbing Cao
2022	J	`jnl`	Coupling Online-Offline Learning for Multi-distributional Data Streams. CoRR Zhilin Zhao, Longbing Cao, Yuan-Yu Wan
2022	J	`jnl`	Decentralized AI: Edge Intelligence and Smart Blockchain, Metaverse, Web3, and DeSci. IEEE Intell. Syst. Longbing Cao
2022	J	`jnl`	Deep Learning Applications. IEEE Intell. Syst. Longbing Cao
2022	J	`jnl`	Deep Learning for Anomaly Detection: A Review. ACM Comput. Surv. Guansong Pang, Chunhua Shen, Longbing Cao, Anton van den Hengel
2022	A	`conf`	Deep Learning for Search and Recommendation. CIKM Wei Liu, Kexin Xie, Linsey Pang, James Bailey, Longbing Cao, Yuxi Zhang
2022	J	`jnl`	DeepExpress: Heterogeneous and Coupled Sequence Modeling for Express Delivery Prediction. ACM Trans. Intell. Syst. Technol. Siyuan Ren, Bin Guo, Longbing Cao, Ke Li, Jiaqi Liu, Zhiwen Yu
2022	J	`jnl`	Distributional Drift Adaptation with Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting. CoRR Hui He, Qi Zhang, Kun Yi, Kaize Shi, Zhendong Niu, Longbing Cao
2022	J	`jnl`	Edge-Varying Fourier Graph Networks for Multivariate Time Series Forecasting. CoRR Kun Yi, Qi Zhang, Liang Hu, Hui He, Ning An, Longbing Cao, Zhendong Niu
2022	J	`jnl`	Explicit and Implicit Pattern Relation Analysis for Discovering Actionable Negative Sequences. CoRR Wei Wang, Longbing Cao
2022	J	`jnl`	From Features Engineering to Scenarios Engineering for Trustworthy AI: I&I, C&C, and V&V. IEEE Intell. Syst. Xuan Li, Peijun Ye, Juanjuan Li, Zhongmin Liu, Longbing Cao, Fei-Yue Wang
2022	J	`jnl`	Gray Learning from Non-IID Data with Out-of-distribution Samples. CoRR Zhilin Zhao, Longbing Cao, Chang-Dong Wang
2022	J	`jnl`	Label and Distribution-discriminative Dual Representation Learning for Out-of-Distribution Detection. CoRR Zhilin Zhao, Longbing Cao
2022	J	`jnl`	Learning Multiaspect Traffic Couplings by Multirelational Graph Attention Networks for Traffic Prediction. IEEE Trans. Intell. Transp. Syst. Jing Huang, Kun Luo, Longbing Cao, Yuanqiao Wen, Shuyuan Zhong
2022	—	`conf`	Mining Contextual Item Similarity without Concept Hierarchy. IMCOM Mohammad Fahim Arefin, Chowdhury Farhan Ahmed, Redwan Ahmed Rizvee, Carson K. Leung, Longbing Cao
2022	J	`jnl`	Neural Time-Aware Sequential Recommendation by Jointly Modeling Preference Dynamics and Explicit Feature Couplings. IEEE Trans. Neural Networks Learn. Syst. Qi Zhang, Longbing Cao, Chongyang Shi, Zhendong Niu
2022	J	`jnl`	Non-IID Federated Learning. IEEE Intell. Syst. Longbing Cao
2022	J	`jnl`	Non-IID Learning. IEEE Intell. Syst. Longbing Cao
2022	J	`jnl`	Out-of-distribution Detection by Cross-class Vicinity Distribution of In-distribution Data. CoRR Zhilin Zhao, Longbing Cao, Kun-Yu Lin
2022	J	`jnl`	Recurrent Coupled Topic Modeling over Sequential Documents. ACM Trans. Knowl. Discov. Data Jinjin Guo, Longbing Cao, Zhiguo Gong
2022	A*	`conf`	Shallow and Deep Non-IID Learning on Complex Data. KDD Longbing Cao, Philip S. Yu, Zhilin Zhao
2022	J	`jnl`	Supervised Deep Hashing for High-dimensional and Heterogeneous Case-based Reasoning. CoRR Qi Zhang, Liang Hu, Chongyang Shi, Ke Liu, Longbing Cao
2022	J	`jnl`	Supervision Adaptation Balances In-Distribution Generalization and Out-of-Distribution Detection. CoRR Zhilin Zhao, Longbing Cao, Kun-Yu Lin
2022	J	`jnl`	Tri-Attention: Explicit Context-Aware Attention Mechanism for Natural Language Processing. CoRR Rui Yu, Yifeng Li, Wenpeng Lu, Longbing Cao
2022	J	`jnl`	Unsupervised Heterogeneous Coupling Learning for Categorical Representation. IEEE Trans. Pattern Anal. Mach. Intell. Chengzhang Zhu, Longbing Cao, Jianping Yin
2021	J	`jnl`	AI in Finance: Challenges, Techniques and Opportunities. CoRR Longbing Cao
2021	A*	`conf`	Anomaly and Novelty Detection, Explanation, and Accommodation (ANDEA). KDD Guansong Pang, Jundong Li, Anton van den Hengel, Longbing Cao, Thomas G. Dietterich
2021	J	`jnl`	Answer Keyword Generation for Community Question Answering by Multiaspect Gamma-Poisson Matrix Completion. IEEE Intell. Syst. Qing Liu, Trong Dinh Thac Do, Longbing Cao
2021	A	`conf`	BiCMTS: Bidirectional Coupled Multivariate Learning of Irregular Time Series with Missing Values. CIKM Qinfen Wang, Siyuan Ren, Yong Xia, Longbing Cao
2021	J	`jnl`	COVID-19 Modeling: A Review. CoRR Longbing Cao, Qing Liu, Wenfeng Hou
2021	A*	`conf`	Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty. AAAI Guifeng Wang, Longbing Cao, Hongke Zhao, Qi Liu, Enhong Chen
2021	J	`jnl`	Data science and AI in FinTech: an overview. Int. J. Data Sci. Anal. Longbing Cao, Qiang Yang, Philip S. Yu
2021	A	`conf`	Deep Learning for Anomaly Detection: Challenges, Methods, and Opportunities. WSDM Guansong Pang, Longbing Cao, Charu Aggarwal
2021	J	`jnl`	DeepExpress: Heterogeneous and Coupled Sequence Modeling for Express Delivery Prediction. CoRR Siyuan Ren, Bin Guo, Longbing Cao, Ke Li, Jiaqi Liu, Zhiwen Yu
2021	—	`conf`	Enlivening Redundant Heads in Multi-head Self-attention for Machine Translation. EMNLP (1) Tianfu Zhang, Heyan Huang, Chong Feng, Longbing Cao
2021	A*	`conf`	Graph Learning based Recommender Systems: A Review. IJCAI Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Francesco Ricci, Philip S. Yu
2021	J	`jnl`	Graph Learning based Recommender Systems: A Review. CoRR Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Francesco Ricci, Philip S. Yu
2021	J	`jnl`	Hierarchical Attentive Transaction Embedding With Intra- and Inter-Transaction Dependencies for Next-Item Recommendation. IEEE Intell. Syst. Shoujin Wang, Longbing Cao, Liang Hu, Shlomo Berkovsky, Xiaoshui Huang, Lin Xiao, Wenpeng Lu
2021	J	`jnl`	Homophily Outlier Detection in Non-IID Categorical Data. CoRR Guansong Pang, Longbing Cao, Ling Chen
2021	J	`jnl`	Homophily outlier detection in non-IID categorical data. Data Min. Knowl. Discov. Guansong Pang, Longbing Cao, Ling Chen
2021	J	`jnl`	Interactive Sequential Basket Recommendation by Learning Basket Couplings and Positive/Negative Feedback. ACM Trans. Inf. Syst. Wei Wang, Longbing Cao
2021	J	`jnl`	Learning Complex Couplings and Interactions. IEEE Intell. Syst. Can Wang, Fosca Giannotti, Longbing Cao
2021	J	`jnl`	Learning deep relevance couplings for ad-hoc document retrieval. Expert Syst. Appl. Shufeng Hao, Chongyang Shi, Longbing Cao, Zhendong Niu, Ping Guo
2021	J	`jnl`	Modeling COVID-19 uncertainties evolving over time and density-dependent social reinforcement and asymptomatic infections. CoRR Qing Liu, Longbing Cao
2021	J	`jnl`	Personalized next-best action recommendation with multi-party interaction learning for automated decision-making. CoRR Longbing Cao, Chengzhang Zhu
2021	J	`jnl`	Recurrent Coupled Topic Modeling over Sequential Documents. CoRR Jinjin Guo, Longbing Cao, Zhiguo Gong
2021	J	`jnl`	Revealing Distributional Vulnerability of Explicit Discriminators by Implicit Generators. CoRR Zhilin Zhao, Longbing Cao, Kun-Yu Lin
2021	A*	`conf`	Self-supervised Bilingual Syntactic Alignment for Neural Machine Translation. AAAI Tianfu Zhang, Heyan Huang, Chong Feng, Longbing Cao
2021	J	`jnl`	Table2Vec: Automated Universal Representation Learning to Encode All-round Data DNA for Benchmarkable and Explainable Enterprise Data Science. CoRR Longbing Cao, Chengzhang Zhu
2021	A*	`conf`	Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data. KDD Guansong Pang, Anton van den Hengel, Chunhua Shen, Longbing Cao
2021	A*	`conf`	Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data. AAAI Qi Zhang, Longbing Cao, Chongyang Shi, Liang Hu
2021	J	`jnl`	VM-NSP: Vertical Negative Sequential Pattern Mining with Loose Negative Element Constraints. ACM Trans. Inf. Syst. Wei Wang, Longbing Cao
2021	J	`jnl`	dhCM: Dynamic and Hierarchical Event Categorization and Discovery for Social Media Stream. ACM Trans. Intell. Syst. Technol. Jinjin Guo, Zhiguo Gong, Longbing Cao
2020	B	`ed.`	7th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2020, Sydney, Australia, October 6-9, 2020 DSAA Geoffrey I. Webb, Zhongfei Zhang, Vincent S. Tseng, Graham Williams, Michalis Vlachos, Longbing Cao
2020	J	`jnl`	AI in FinTech: A Research Agenda. CoRR Longbing Cao
2020	J	`jnl`	Coupling Learning of Complex Interactions. CoRR Longbing Cao
2020	J	`jnl`	Data Science: A Comprehensive Overview. CoRR Longbing Cao
2020	J	`jnl`	Data Science: Challenges and Directions. CoRR Longbing Cao
2020	J	`jnl`	Data Science: Nature and Pitfalls. CoRR Longbing Cao
2020	J	`jnl`	Deep Learning for Anomaly Detection: A Review. CoRR Guansong Pang, Chunhua Shen, Longbing Cao, Anton van den Hengel
2020	J	`jnl`	Deep Reinforcement Learning for Unknown Anomaly Detection. CoRR Guansong Pang, Anton van den Hengel, Chunhua Shen, Longbing Cao
2020	J	`jnl`	Graph Learning Approaches to Recommender Systems: A Review. CoRR Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Nan Wang, Francesco Ricci, Philip S. Yu
2020	J	`jnl`	Heterogeneous Univariate Outlier Ensembles in Multidimensional Data. ACM Trans. Knowl. Discov. Data Guansong Pang, Longbing Cao
2020	J	`jnl`	IEEE DSAA-The IEEE Flagship Conference in Data Science [Society Briefs]. IEEE Comput. Intell. Mag. Longbing Cao, Marley M. B. R. Vellasco
2020	J	`jnl`	In-Depth Behavior Understanding and Use: The Behavior Informatics Approach. CoRR Longbing Cao
2020	J	`jnl`	Inferring Implicit Rules by Learning Explicit and Hidden Item Dependency. IEEE Trans. Syst. Man Cybern. Syst. Shoujin Wang, Longbing Cao
2020	A*	`conf`	Intention Nets: Psychology-Inspired User Choice Behavior Modeling for Next-Basket Prediction. AAAI Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao
2020	A*	`conf`	Intention2Basket: A Neural Intention-driven Approach for Dynamic Next-basket Planning. IJCAI Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao
2020	J	`jnl`	Jointly Modeling Intra- and Inter-transaction Dependencies with Hierarchical Attentive Transaction Embeddings for Next-item Recommendation. CoRR Shoujin Wang, Longbing Cao, Liang Hu, Shlomo Berkovsky, Xiaoshui Huang, Lin Xiao, Wenpeng Lu
2020	B	`conf`	Maximum Entropy Reinforcement Learning with Evolution Strategies. IJCNN Longxiang Shi, Shijian Li, Qian Zheng, Longbing Cao, Long Yang, Gang Pan
2020	B	`conf`	Mix2Vec: Unsupervised Mixed Data Representation. DSAA Chengzhang Zhu, Qi Zhang, Longbing Cao, Arman Abrahamyan
2020	J	`jnl`	Non-IID Recommender Systems: A Review and Framework of Recommendation Paradigm Shifting. CoRR Longbing Cao
2020	A*	`conf`	Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data. AAAI Songlei Jian, Liang Hu, Longbing Cao, Kai Lu
2020	J	`jnl`	Scientific Article Recommendation: Exploiting Common Author Relations and Historical Preferences. CoRR Feng Xia, Haifeng Liu, Ivan Lee, Longbing Cao
2020	J	`jnl`	Sequential Recommender Systems: Challenges, Progress and Prospects. CoRR Shoujin Wang, Liang Hu, Yan Wang, Longbing Cao, Quan Z. Sheng, Mehmet A. Orgun
2020	J	`jnl`	Special Issue on AI and FinTech: The Challenge Ahead. IEEE Intell. Syst. Longbing Cao, George Yuan, Tim Leung, Wei Zhang
2020	J	`jnl`	Special Issue on AI and FinTech: The Challenge Ahead. IEEE Intell. Syst. Longbing Cao, George Yuan, Tim Leung, Wei Zhang
2020	J	`jnl`	The Era of Intelligent Recommendation: Editorial on Intelligent Recommendation with Advanced AI and Learning. IEEE Intell. Syst. Shoujin Wang, Gabriella Pasi, Liang Hu, Longbing Cao
2020	J	`jnl`	Unsupervised Heterogeneous Coupling Learning for Categorical Representation. CoRR Chengzhang Zhu, Longbing Cao, Jianping Yin
2020	J	`jnl`	e-RNSP: An Efficient Method for Mining Repetition Negative Sequential Patterns. IEEE Trans. Cybern. Xiangjun Dong, Yongshun Gong, Longbing Cao
2019	J	`jnl`	A Survey on Session-based Recommender Systems. CoRR Shoujin Wang, Longbing Cao, Yan Wang
2019	J	`jnl`	CURE: Flexible Categorical Data Representation by Hierarchical Coupling Learning. IEEE Trans. Knowl. Data Eng. Songlei Jian, Guansong Pang, Longbing Cao, Kai Lu, Hang Gao
2019	J	`jnl`	Data Science: Profession and Education. IEEE Intell. Syst. Longbing Cao
2019	J	`jnl`	Enhancing Mobile App User Understanding and Marketing With Heterogeneous Crowdsourced Data: A Review. IEEE Access Bin Guo, Yi Ouyang, Tong Guo, Longbing Cao, Zhiwen Yu
2019	A*	`conf`	Evolutionarily Learning Multi-Aspect Interactions and Influences from Network Structure and Node Content. AAAI Songlei Jian, Liang Hu, Longbing Cao, Kai Lu, Hang Gao
2019	J	`jnl`	Evolving Coauthorship Modeling and Prediction via Time-Aware Paired Choice Analysis. IEEE Access Liang Hu, Qingkui Chen, Longbing Cao, Songlei Jian, Haiyan Zhao, Jian Cao
2019	J	`jnl`	HCBC: A Hierarchical Case-Based Classifier Integrated with Conceptual Clustering. IEEE Trans. Knowl. Data Eng. Qi Zhang, Chongyang Shi, Zhendong Niu, Longbing Cao
2019	A*	`conf`	HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start Recommendation. AAAI Liang Hu, Songlei Jian, Longbing Cao, Zhiping Gu, Qingkui Chen, Artak Amirbekyan
2019	J	`jnl`	Mining Top- ${k}$ Useful Negative Sequential Patterns via Learning. IEEE Trans. Neural Networks Learn. Syst. Xiangjun Dong, Ping Qiu, Jinhu Lü, Longbing Cao, Tiantian Xu
2019	A*	`conf`	Modeling Multi-Purpose Sessions for Next-Item Recommendations via Mixture-Channel Purpose Routing Networks. IJCAI Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao
2019	J	`jnl`	Modeling positive and negative feedback for improving document retrieval. Expert Syst. Appl. Shufeng Hao, Chongyang Shi, Zhendong Niu, Longbing Cao
2019	A*	`conf`	Multi-View Information-Theoretic Co-Clustering for Co-Occurrence Data. AAAI Peng Xu, Zhaohong Deng, Kup-Sze Choi, Longbing Cao, Shitong Wang
2019	J	`jnl`	Multi-view Information-theoretic Co-clustering for Co-occurrence Data. CoRR Peng Xu, Zhaohong Deng, Kup-Sze Choi, Longbing Cao, Shitong Wang
2019	J	`jnl`	Negative Sequence Analysis: A Review. ACM Comput. Surv. Wei Wang, Longbing Cao
2019	A*	`conf`	Sequential Recommender Systems: Challenges, Progress and Prospects. IJCAI Shoujin Wang, Liang Hu, Yan Wang, Longbing Cao, Quan Z. Sheng, Mehmet A. Orgun
2019	A	`conf`	TBQ(σ): Improving Efficiency of Trace Utilization for Off-Policy Reinforcement Learning. AAMAS Longxiang Shi, Shijian Li, Longbing Cao, Long Yang, Gang Pan
2019	J	`jnl`	TBQ(σ): Improving Efficiency of Trace Utilization for Off-Policy Reinforcement Learning. CoRR Longxiang Shi, Shijian Li, Longbing Cao, Long Yang, Gang Pan
2018	A*	`conf`	Attention-Based Transactional Context Embedding for Next-Item Recommendation. AAAI Shoujin Wang, Liang Hu, Longbing Cao, Xiaoshui Huang, Defu Lian, Wei Liu
2018	J	`jnl`	Concept coupling learning for improving concept lattice-based document retrieval. Eng. Appl. Artif. Intell. Shufeng Hao, Chongyang Shi, Zhendong Niu, Longbing Cao
2018	J	`jnl`	Coupled Clustering Ensemble by Exploring Data Interdependence. ACM Trans. Knowl. Discov. Data Can Wang, Chi-Hung Chi, Zhong She, Longbing Cao, Bela Stantic
2018	—	`conf`	Coupled Collective Matrix Factorization. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI Liying Zhang, Longbing Cao, Sheng Luo, Lei Gu, Yijin Chen, Yuanfeng Lian
2018	J	`jnl`	Coupled Node Similarity Learning for Community Detection in Attributed Networks. Entropy Fanrong Meng, Xiaobin Rui, Zhixiao Wang, Yan Xing, Longbing Cao
2018	A*	`conf`	Coupled Poisson Factorization Integrated With User/Item Metadata for Modeling Popular and Sparse Ratings in Scalable Recommendation. AAAI Trong Dinh Thac Do, Longbing Cao
2018	A*	`conf`	CoupledCF: Learning Explicit and Implicit User-item Couplings in Recommendation for Deep Collaborative Filtering. IJCAI Quangui Zhang, Longbing Cao, Chengzhang Zhu, Zhiqiang Li, Jinguang Sun
2018	—	`conf`	Deep-PUMR: Deep Positive and Unlabeled Learning with Manifold Regularization. ICONIP (1) Xingyu Chen, Fanghui Liu, Enmei Tu, Longbing Cao, Jie Yang
2018	J	`jnl`	Effective lossless condensed representation and discovery of spatial co-location patterns. Inf. Sci. Lizhen Wang, Xuguang Bao, Hongmei Chen, Longbing Cao
2018	J	`jnl`	Exploring Feature Coupling and Model Coupling for Image Source Identification. IEEE Trans. Inf. Forensics Secur. Yonggang Huang, Longbing Cao, Jun Zhang, Lei Pan, Yuying Liu
2018	J	`jnl`	F-NSP+: A fast negative sequential patterns mining method with self-adaptive data storage. Pattern Recognit. Xiangjun Dong, Yongshun Gong, Longbing Cao
2018	A*	`conf`	Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Influence. NeurIPS Trong Dinh Thac Do, Longbing Cao
2018	J	`jnl`	Generalized Hidden-Mapping Minimax Probability Machine for the training and reliability learning of several classical intelligent models. Inf. Sci. Zhaohong Deng, Junyong Chen, Te Zhang, Longbing Cao, Shitong Wang
2018	J	`jnl`	GeoMF++: Scalable Location Recommendation via Joint Geographical Modeling and Matrix Factorization. ACM Trans. Inf. Syst. Defu Lian, Kai Zheng, Yong Ge, Longbing Cao, Enhong Chen, Xing Xie
2018	J	`jnl`	Heterogeneous Metric Learning of Categorical Data with Hierarchical Couplings. IEEE Trans. Knowl. Data Eng. Chengzhang Zhu, Longbing Cao, Qiang Liu, Jianping Yin, Vipin Kumar
2018	A*	`conf`	High-order Proximity Preserving Information Network Hashing. KDD Defu Lian, Kai Zheng, Vincent W. Zheng, Yong Ge, Longbing Cao, Ivor W. Tsang, Xing Xie
2018	A*	`conf`	Interactive Probabilistic Post-Mining of User-Preferred Spatial Co-Location Patterns. ICDE Lizhen Wang, Xuguang Bao, Longbing Cao
2018	A*	`conf`	Interpretable Recommendation via Attraction Modeling: Learning Multilevel Attractiveness over Multimodal Movie Contents. IJCAI Liang Hu, Songlei Jian, Longbing Cao, Qingkui Chen
2018	J	`jnl`	Introduction to the special issue on Data Science in Asia (with PAKDD'2017). Int. J. Data Sci. Anal. Longbing Cao, Jae-Gil Lee, Xuemin Lin
2018	A*	`conf`	Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection. KDD Guansong Pang, Longbing Cao, Ling Chen, Huan Liu
2018	J	`jnl`	Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection. CoRR Guansong Pang, Longbing Cao, Ling Chen, Huan Liu
2018	A*	`conf`	Metadata-dependent Infinite Poisson Factorization for Efficiently Modelling Sparse and Large Matrices in Recommendation. IJCAI Trong Dinh Thac Do, Longbing Cao
2018	A*	`conf`	Metric-Based Auto-Instructor for Learning Mixed Data Representation. AAAI Songlei Jian, Liang Hu, Longbing Cao, Kai Lu
2018	J	`jnl`	Modeling and Forecasting the Popularity Evolution of Mobile Apps: A Multivariate Hawkes Process Approach. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Yi Ouyang, Bin Guo, Tong Guo, Longbing Cao, Zhiwen Yu
2018	J	`jnl`	Neural Cross-Session Filtering: Next-Item Prediction Under Intra- and Inter-Session Context. IEEE Intell. Syst. Liang Hu, Qingkui Chen, Haiyan Zhao, Songlei Jian, Longbing Cao, Jian Cao
2018	A*	`conf`	Sparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric Data. AAAI Guansong Pang, Longbing Cao, Ling Chen, Defu Lian, Huan Liu
2018	J	`jnl`	Unsupervised Coupled Metric Similarity for Non-IID Categorical Data. IEEE Trans. Knowl. Data Eng. Songlei Jian, Longbing Cao, Kai Lu, Hang Gao
2018	—	`conf`	Vine Copula-Based Asymmetry and Tail Dependence Modeling. PAKDD (1) Jia Xu, Longbing Cao
2017	J	`jnl`	A honey-bee-mating based algorithm for multilevel image segmentation using Bayesian theorem. Appl. Soft Comput. Yunzhi Jiang, Pohsiang Tsai, Wei-Chang Yeh, Longbing Cao
2017	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part I PAKDD (1) Jinho Kim, Kyuseok Shim, Longbing Cao, Jae-Gil Lee, Xuemin Lin, Yang-Sae Moon
2017	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part II PAKDD (2) Jinho Kim, Kyuseok Shim, Longbing Cao, Jae-Gil Lee, Xuemin Lin, Yang-Sae Moon
2017	A*	`conf`	Behavior Informatics to Discover Behavior Insight for Active and Tailored Client Management. KDD Longbing Cao
2017	A*	`conf`	Beyond IID: Learning to Combine Non-IID Metrics for Vision Tasks. AAAI Yinghuan Shi, Wenbin Li, Yang Gao, Longbing Cao, Dinggang Shen
2017	J	`jnl`	Classification of high-dimensional evolving data streams via a resource-efficient online ensemble. Data Min. Knowl. Discov. Tingting Zhai, Yang Gao, Hao Wang, Longbing Cao
2017	B	`conf`	Copula-Based High Dimensional Cross-Market Dependence Modeling. DSAA Jia Xu, Wei Wei, Longbing Cao
2017	J	`jnl`	Data Science: A Comprehensive Overview. ACM Comput. Surv. Longbing Cao
2017	J	`jnl`	Data science: challenges and directions. Commun. ACM Longbing Cao
2017	A*	`conf`	Discrete Content-aware Matrix Factorization. KDD Defu Lian, Rui Liu, Yong Ge, Kai Zheng, Xing Xie, Longbing Cao
2017	A*	`conf`	Diversifying Personalized Recommendation with User-session Context. IJCAI Liang Hu, Longbing Cao, Shoujin Wang, Guandong Xu, Jian Cao, Zhiping Gu
2017	A*	`conf`	Embedding-based Representation of Categorical Data by Hierarchical Value Coupling Learning. IJCAI Songlei Jian, Longbing Cao, Guansong Pang, Kai Lu, Hang Gao
2017	J	`jnl`	Enhancing online video recommendation using social user interactions. VLDB J. Xiangmin Zhou, Lei Chen, Yanchun Zhang, Dong Qin, Longbing Cao, Guangyan Huang, Chen Wang
2017	J	`jnl`	Improving the Quality of Recommendations for Users and Items in the Tail of Distribution. ACM Trans. Inf. Syst. Liang Hu, Longbing Cao, Jian Cao, Zhiping Gu, Guandong Xu, Jie Wang
2017	A*	`conf`	Learning Homophily Couplings from Non-IID Data for Joint Feature Selection and Noise-Resilient Outlier Detection. IJCAI Guansong Pang, Longbing Cao, Ling Chen, Huan Liu
2017	J	`jnl`	Learning Nonparametric Relational Models by Conjugately Incorporating Node Information in a Network. IEEE Trans. Cybern. Xuhui Fan, Richard Yi Da Xu, Longbing Cao, Yin Song
2017	—	`conf`	Perceiving the Next Choice with Comprehensive Transaction Embeddings for Online Recommendation. ECML/PKDD (2) Shoujin Wang, Liang Hu, Longbing Cao
2017	J	`jnl`	SVM-based multi-state-mapping approach for multi-class classification. Knowl. Based Syst. Bo Liu, Yanshan Xiao, Longbing Cao
2017	A	`conf`	Selective Value Coupling Learning for Detecting Outliers in High-Dimensional Categorical Data. CIKM Guansong Pang, Hongzuo Xu, Longbing Cao, Wentao Zhao
2017	J	`jnl`	Septic shock prediction for ICU patients via coupled HMM walking on sequential contrast patterns. J. Biomed. Informatics Shameek Ghosh, Jinyan Li, Longbing Cao, Kotagiri Ramamohanarao
2017	J	`jnl`	Top-k coupled keyword recommendation for relational keyword queries. Knowl. Inf. Syst. Xiangfu Meng, Longbing Cao, Xiaoyan Zhang, Jingyu Shao
2016	J	`jnl`	An effective contrast sequential pattern mining approach to taxpayer behavior analysis. World Wide Web Zhigang Zheng, Wei Wei, Chunming Liu, Wei Cao, Longbing Cao, Maninder Bhatia
2016	J	`jnl`	Conference Report on 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA'2015) [Conference Reports]. IEEE Comput. Intell. Mag. Éric Gaussier, Longbing Cao
2016	A*	`conf`	Copula Mixed-Membership Stochastic Blockmodel. IJCAI Xuhui Fan, Richard Yi Da Xu, Longbing Cao
2016	J	`jnl`	Data Science: Nature and Pitfalls. IEEE Intell. Syst. Longbing Cao
2016	J	`jnl`	Data science and analytics: a new era. Int. J. Data Sci. Anal. Longbing Cao
2016	—	`conf`	Improving the Performance of Collaborative Filtering with Category-Specific Neighborhood. ACIIDS (2) Karnam Dileep Kumar, Krishna Reddy Polepalli, Pailla Balakrishna Reddy, Longbing Cao
2016	J	`jnl`	Learning Informative Priors from Heterogeneous Domains to Improve Recommendation in Cold-Start User Domains. ACM Trans. Inf. Syst. Liang Hu, Longbing Cao, Jian Cao, Zhiping Gu, Guandong Xu, Dingyu Yang
2016	J	`jnl`	Mining preferred navigation patterns by consolidating both selection and time preferences. World Wide Web Bin Shen, Longbing Cao, Min Yao, Yunjun Gao
2016	A*	`conf`	Outlier Detection in Complex Categorical Data by Modeling the Feature Value Couplings. IJCAI Guansong Pang, Longbing Cao, Ling Chen
2016	J	`jnl`	Permutation anonymization. J. Intell. Inf. Syst. Dong Li, Xianmang He, Longbing Cao, Huahui Chen
2016	J	`jnl`	Scientific Article Recommendation: Exploiting Common Author Relations and Historical Preferences. IEEE Trans. Big Data Feng Xia, Haifeng Liu, Ivan Lee, Longbing Cao
2016	B	`conf`	Training deep neural networks on imbalanced data sets. IJCNN Shoujin Wang, Wei Liu, Jia Wu, Longbing Cao, Qinxue Meng, Paul J. Kennedy
2016	J	`jnl`	Two-level matrix factorization for recommender systems. Neural Comput. Appl. Fangfang Li, Guandong Xu, Longbing Cao
2016	A*	`conf`	Unsupervised Feature Selection for Outlier Detection by Modelling Hierarchical Value-Feature Couplings. ICDM Guansong Pang, Longbing Cao, Ling Chen, Huan Liu
2016	J	`jnl`	e-NSP: Efficient negative sequential pattern mining. Artif. Intell. Longbing Cao, Xiangjun Dong, Zhigang Zheng
2015	—	`conf`	A Coupled k-Nearest Neighbor Algorithm for Multi-label Classification. PAKDD (1) Chunming Liu, Longbing Cao
2015	J	`jnl`	A convergence theorem for graph shift-type algorithms. Pattern Recognit. Xuhui Fan, Longbing Cao
2015	J	`jnl`	A new framework for mining frequent interaction patterns from meeting databases. Eng. Appl. Artif. Intell. Anna Fariha, Chowdhury Farhan Ahmed, Carson K. Leung, Md. Samiullah, Suraiya Pervin, Longbing Cao
2015	A*	`conf`	Actionable Combined High Utility Itemset Mining. AAAI Jingyu Shao, Junfu Yin, Wei Liu, Longbing Cao
2015	—	`ed.`	Agents and Data Mining Interaction - 10th International Workshop, ADMI 2014, Paris, France, May 5-9, 2014, Revised Selected Papers ADMI Longbing Cao, Yifeng Zeng, Bo An, Andreas L. Symeonidis, Vladimir Gorodetsky, Frans Coenen, Philip S. Yu
2015	C	`conf`	Analysing User Reviews in Tourism with Topic Models. ENTER Marco Rossetti, Fabio Stella, Longbing Cao, Markus Zanker
2015	J	`jnl`	Automatic multilevel thresholding for image segmentation using stratified sampling and Tabu Search. Soft Comput. Yunzhi Jiang, Pohsiang Tsai, Zhifeng Hao, Longbing Cao
2015	J	`jnl`	CSAL: Self-adaptive Labeling based Clustering Integrating Supervised Learning on Unlabeled Data. CoRR Fangfang Li, Guandong Xu, Longbing Cao
2015	J	`jnl`	Coupled Attribute Similarity Learning on Categorical Data. IEEE Trans. Neural Networks Learn. Syst. Can Wang, Xiangjun Dong, Fei Zhou, Longbing Cao, Chi-Hung Chi
2015	A*	`conf`	Coupled Collaborative Filtering for Context-aware Recommendation. AAAI Xinxin Jiang, Wei Liu, Longbing Cao, Guodong Long
2015	—	`conf`	Coupled Matrix Factorization Within Non-IID Context. PAKDD (2) Fangfang Li, Guandong Xu, Longbing Cao
2015	J	`jnl`	Coupling Analysis Between Twitter and Call Centre. CoRR Fangfang Li, Yanchang Zhao, Klaus Felsche, Guandong Xu, Longbing Cao
2015	—	`conf`	Coupling Multiple Views of Relations for Recommendation. PAKDD (2) Bin Fu, Guandong Xu, Longbing Cao, Zhihai Wang, Zhiang Wu
2015	J	`jnl`	Coupling learning of complex interactions. Inf. Process. Manag. Longbing Cao
2015	A*	`conf`	Deep Modeling Complex Couplings within Financial Markets. AAAI Wei Cao, Liang Hu, Longbing Cao
2015	B	`conf`	Document similarity analysis via involving both explicit and implicit semantic couplings. DSAA Qianqian Chen, Liang Hu, Jia Xu, Wei Liu, Longbing Cao
2015	J	`jnl`	Dynamic Infinite Mixed-Membership Stochastic Blockmodel. IEEE Trans. Neural Networks Learn. Syst. Xuhui Fan, Longbing Cao, Richard Yi Da Xu
2015	J	`jnl`	Financial Crisis Forecasting via Coupled Market State Analysis. IEEE Intell. Syst. Wei Cao, Longbing Cao
2015	B	`conf`	Financial crisis and global market couplings. DSAA Wei Cao, Yves Demazeau, Longbing Cao, Weidong Zhu
2015	J	`jnl`	Formalization and Verification of Group Behavior Interactions. IEEE Trans. Syst. Man Cybern. Syst. Can Wang, Longbing Cao, Chi-Hung Chi
2015	J	`jnl`	MRM-Lasso: A Sparse Multiview Feature Selection Method via Low-Rank Analysis. IEEE Trans. Neural Networks Learn. Syst. Wanqi Yang, Yang Gao, Yinghuan Shi, Longbing Cao
2015	—	`book`	Metasynthetic Computing and Engineering of Complex Systems Longbing Cao
2015	J	`jnl`	Minimax Probability TSK Fuzzy System Classifier: A More Transparent and Highly Interpretable Classification Model. IEEE Trans. Fuzzy Syst. Zhaohong Deng, Longbing Cao, Yizhang Jiang, Shitong Wang
2015	J	`jnl`	Mining Partially-Ordered Sequential Rules Common to Multiple Sequences. IEEE Trans. Knowl. Data Eng. Philippe Fournier-Viger, Cheng-Wei Wu, Vincent S. Tseng, Longbing Cao, Roger Nkambou
2015	J	`jnl`	Mining Top K Spread Sources for a Specific Topic and a Given Node. IEEE Trans. Cybern. Weiwei Liu, Zhi-Hong Deng, Longbing Cao, Xiaoran Xu, He Liu, Xiuwen Gong
2015	B	`conf`	Mining actionable combined patterns of high utility and frequency. DSAA Jingyu Shao, Junfu Yin, Wei Liu, Longbing Cao
2015	—	`conf`	Multi-View Actionable Patterns for Managing Traffic Bottleneck. AAAI Workshop: AI for Transportation Xiaodong Yue, Longbing Cao, Yufei Chen, Bin Xu
2015	J	`jnl`	Multi-view attribute reduction model for traffic bottleneck analysis. Knowl. Based Syst. Xiaodong Yue, Longbing Cao, Duoqian Miao, Yufei Chen, B. Xu
2015	J	`jnl`	Nonoccurring Behavior Analytics: A New Area. IEEE Intell. Syst. Longbing Cao, Philip S. Yu, Vipin Kumar
2015	—	`conf`	Online Video Recommendation in Sharing Community. SIGMOD Conference Xiangmin Zhou, Lei Chen, Yanchun Zhang, Longbing Cao, Guangyan Huang, Chen Wang
2015	A*	`ed.`	Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015 KDD Longbing Cao, Chengqi Zhang, Thorsten Joachims, Geoffrey I. Webb, Dragos D. Margineantu, Graham Williams
2014	—	`conf`	A Coupled Similarity Kernel for Pairwise Support Vector Machine. ADMI Mu Li, Jinjiu Li, Yuming Ou, Longbing Cao
2014	J	`jnl`	A K-Farthest-Neighbor-based approach for support vector data description. Appl. Intell. Yanshan Xiao, Bo Liu, Zhifeng Hao, Longbing Cao
2014	J	`jnl`	A Similarity-Based Classification Framework for Multiple-Instance Learning. IEEE Trans. Cybern. Yanshan Xiao, Bo Liu, Zhifeng Hao, Longbing Cao
2014	B	`conf`	A hybrid coupled k-nearest neighbor algorithm on imbalance data. IJCNN Chunming Liu, Longbing Cao, Philip S. Yu
2014	J	`jnl`	A novel graph-based k-means for nonlinear manifold clustering and representative selection. Neurocomputing Enmei Tu, Longbing Cao, Jie Yang, Nikola K. Kasabov
2014	—	`ed.`	Agents and Data Mining Interaction - 9th International Workshop, ADMI 2013, Saint Paul, MN, USA, May 6-7, 2013, Revised Selected Papers ADMI Longbing Cao, Yifeng Zeng, Andreas L. Symeonidis, Vladimir Gorodetsky, Jörg P. Müller, Philip S. Yu
2014	J	`jnl`	An Efficient Approach for Outlier Detection with Imperfect Data Labels. IEEE Trans. Knowl. Data Eng. Bo Liu, Yanshan Xiao, Philip S. Yu, Zhifeng Hao, Longbing Cao
2014	J	`jnl`	An efficient color quantization based on generic roughness measure. Pattern Recognit. Xiaodong Yue, Duoqian Miao, Longbing Cao, Qiang Wu, Yufei Chen
2014	J	`jnl`	An efficient orientation distance-based discriminative feature extraction method for multi-classification. Knowl. Inf. Syst. Bo Liu, Yanshan Xiao, Philip S. Yu, Zhifeng Hao, Longbing Cao
2014	A*	`conf`	Bayesian Heteroskedastic Choice Modeling on Non-identically Distributed Linkages. ICDM Liang Hu, Wei Cao, Jian Cao, Guandong Xu, Longbing Cao, Zhiping Gu
2014	J	`jnl`	Behavior Informatics: A New Perspective. IEEE Intell. Syst. Longbing Cao, Thorsten Joachims, Can Wang, Éric Gaussier, Jinjiu Li, Yuming Ou, Dan Luo, Reza Zafarani, Huan Liu, Guandong Xu, Zhiang Wu, Gabriella Pasi, Ya Zhang, Xiaokang Yang, Hongyuan Zha, Edoardo Serra, V. S. Subrahmanian
2014	J	`jnl`	CMF: Coupled Matrix Factorization for Recommender Systems. CoRR Fangfang Li, Guandong Xu, Longbing Cao, Xiaozhong Fan, Zhendong Niu
2014	—	`conf`	Coupled Item-Based Matrix Factorization. WISE (1) Fangfang Li, Guandong Xu, Longbing Cao
2014	J	`jnl`	Coupled Item-based Matrix Factorization. CoRR Fangfang Li, Guandong Xu, Longbing Cao
2014	J	`jnl`	Coupled K-Nearest Centroid Classification for Non-iid Data. Trans. Comput. Collect. Intell. Mu Li, Jinjiu Li, Yuming Ou, Ya Zhang, Dan Luo, Maninder Bahtia, Longbing Cao
2014	B	`conf`	Coupled fuzzy k-nearest neighbors classification of imbalanced non-IID categorical data. IJCNN Chunming Liu, Longbing Cao, Philip S. Yu
2014	A*	`conf`	Deep Modeling of Group Preferences for Group-Based Recommendation. AAAI Liang Hu, Jian Cao, Guandong Xu, Longbing Cao, Zhiping Gu, Wei Cao
2014	J	`jnl`	Evolving soft subspace clustering. Appl. Soft Comput. Lin Zhu, Longbing Cao, Jie Yang, Jingsheng Lei
2014	J	`jnl`	Fast Local Histogram Specification. IEEE Trans. Circuits Syst. Video Technol. Hui-Dong Liu, Ming Yang, Yang Gao, Longbing Cao
2014	B	`conf`	Knowledge-leverage based TSK fuzzy system with improved knowledge transfer. FUZZ-IEEE Zhaohong Deng, Yizhang Jiang, Longbing Cao, Shitong Wang
2014	A	`conf`	Modeling Asymmetry and Tail Dependence among Multiple Variables by Using Partial Regular Vine. SDM Wei Wei, Junfu Yin, Jinyan Li, Longbing Cao
2014	J	`jnl`	Multi-label learning based on iterative label propagation over graph. Pattern Recognit. Lett. Bin Fu, Zhihai Wang, Guandong Xu, Longbing Cao
2014	J	`jnl`	Non-IIDness Learning in Behavioral and Social Data. Comput. J. Longbing Cao
2014	J	`jnl`	Non-parametric shrinkage mean estimation for quadratic loss functions with unknown covariance matrices. J. Multivar. Anal. Cheng Wang, Tiejun Tong, Longbing Cao, Baiqi Miao
2014	A	`conf`	Semantic Approximate Keyword Query Based on Keyword and Query Coupling Relationship Analysis. CIKM Xiangfu Meng, Longbing Cao, Jingyu Shao
2014	J	`jnl`	Social Image Analysis From a Non-IID Perspective. IEEE Trans. Multim. Zhe Xu, Ya Zhang, Longbing Cao
2014	J	`jnl`	T2FELA: Type-2 Fuzzy Extreme Learning Algorithm for Fast Training of Interval Type-2 TSK Fuzzy Logic System. IEEE Trans. Neural Networks Learn. Syst. Zhaohong Deng, Kup-Sze Choi, Longbing Cao, Shitong Wang
2014	J	`jnl`	Uncertain One-Class Learning and Concept Summarization Learning on Uncertain Data Streams. IEEE Trans. Knowl. Data Eng. Bo Liu, Yanshan Xiao, Philip S. Yu, Longbing Cao, Yun Zhang, Zhifeng Hao
2014	B	`conf`	Welcome from DSAA 2014 chairs. DSAA Philip S. Yu, Masaru Kitsuregawa, Hiroshi Motoda, Bart Goethals, Minyi Guo, Longbing Cao, George Karypis, Irwin King, Wei Wang
2014	J	`jnl`	mPadal: a joint local-and-global multi-view feature selection method for activity recognition. Appl. Intell. Wanqi Yang, Yang Gao, Longbing Cao, Ming Yang, Yinghuan Shi
2013	J	`jnl`	A Convergence Theorem for the Graph Shift-type Algorithms. CoRR Xuhui Fan, Longbing Cao
2013	—	`conf`	A Coupled Clustering Approach for Items Recommendation. PAKDD (2) Yonghong Yu, Can Wang, Yang Gao, Longbing Cao, Xixi Chen
2013	—	`ed.`	Advanced Data Mining and Applications - 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part II ADMA (2) Hiroshi Motoda, Zhaohui Wu, Longbing Cao, Osmar R. Zaïane, Min Yao, Wei Wang
2013	—	`ed.`	Advanced Data Mining and Applications, 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part I ADMA (1) Hiroshi Motoda, Zhaohui Wu, Longbing Cao, Osmar R. Zaïane, Min Yao, Wei Wang
2013	—	`ed.`	Advances in Knowledge Discovery and Data Mining, 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I PAKDD (1) Jian Pei, Vincent S. Tseng, Longbing Cao, Hiroshi Motoda, Guandong Xu
2013	—	`ed.`	Advances in Knowledge Discovery and Data Mining, 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II PAKDD (2) Jian Pei, Vincent S. Tseng, Longbing Cao, Hiroshi Motoda, Guandong Xu
2013	J	`jnl`	Agent-Based Self-Adaptable Context-Aware Network Vulnerability Assessment. IEEE Trans. Netw. Serv. Manag. Frank Jiang, Daoyi Dong, Longbing Cao, Michael R. Frater
2013	—	`ed.`	Agents and Data Mining Interaction - 8th International Workshop, ADMI 2012, Valencia, Spain, June 4-5, 2012, Revised Selected Papers ADMI Longbing Cao, Yifeng Zeng, Andreas L. Symeonidis, Vladimir Gorodetsky, Philip S. Yu, Munindar P. Singh
2013	—	`conf`	An approach of hierarchical concept clustering on Medical Short Text corpus. BMEI Wei Li, Dazhe Zhao, Jinzhu Yang, Longbing Cao
2013	—	`ed.`	Behavior and Social Computing, International Workshop on Behavior and Social Informatics, BSI 2013, Gold Coast, QLD, Australia, April 14-17, 2013 and International Workshop on Behavior and Social Informatics and Computing, BSIC 2013, Beijing, China, August 3-9, 2013, Revised Selected Papers BSI@PAKDD/BSIC@IJCAI Longbing Cao, Hiroshi Motoda, Jaideep Srivastava, Ee-Peng Lim, Irwin King, Philip S. Yu, Wolfgang Nejdl, Guandong Xu, Gang Li, Ya Zhang
2013	—	`conf`	CGMF: Coupled Group-Based Matrix Factorization for Recommender System. WISE (1) Fangfang Li, Guandong Xu, Longbing Cao, Xiaozhong Fan, Zhendong Niu
2013	B	`conf`	CRNN: Integrating classification rules into neural network. IJCNN Wei Li, Longbing Cao, Dazhe Zhao, Xia Cui, Jinzhu Yang
2013	J	`jnl`	Characterizing A Database of Sequential Behaviors with Latent Dirichlet Hidden Markov Models CoRR Yin Song, Longbing Cao, Xuhui Fan, Wei Cao, Jian Zhang
2013	J	`jnl`	Combined mining: Analyzing object and pattern relations for discovering and constructing complex yet actionable patterns. WIREs Data Mining Knowl. Discov. Longbing Cao
2013	J	`jnl`	Copula Mixed-Membership Stochastic Blockmodel for Intra-Subgroup Correlations. CoRR Xuhui Fan, Longbing Cao, Richard Yi Da Xu
2013	A*	`conf`	Coupled Attribute Analysis on Numerical Data. IJCAI Can Wang, Zhong She, Longbing Cao
2013	A*	`conf`	Coupled clustering ensemble: Incorporating coupling relationships both between base clusterings and objects. ICDE Can Wang, Zhong She, Longbing Cao
2013	B	`conf`	Coupled market behavior based financial crisis detection. IJCNN Wei Cao, Longbing Cao, Yin Song
2013	B	`conf`	Coupled term-term relation analysis for document clustering. IJCNN Xin Cheng, Duoqian Miao, Can Wang, Longbing Cao
2013	A*	`conf`	Cross-Domain Collaborative Filtering via Bilinear Multilevel Analysis. IJCAI Liang Hu, Jian Cao, Guandong Xu, Jie Wang, Zhiping Gu, Longbing Cao
2013	J	`jnl`	Dynamic Infinite Mixed-Membership Stochastic Blockmodel. CoRR Xuhui Fan, Longbing Cao, Richard Yi Da Xu
2013	J	`jnl`	Effective detection of sophisticated online banking fraud on extremely imbalanced data. World Wide Web Wei Wei, Jinjiu Li, Longbing Cao, Yuming Ou, Jiahang Chen
2013	A	`conf`	Efficient Selection of Globally Optimal Rules on Large Imbalanced Data Based on Rule Coverage Relationship Analysis. SDM Longbing Cao, Jinjiu Li, Can Wang, Philip S. Yu
2013	A*	`conf`	Efficiently Mining Top-K High Utility Sequential Patterns. ICDM Junfu Yin, Zhigang Zheng, Longbing Cao, Yin Song, Wei Wei
2013	—	`conf`	Erratum: A Coupled Clustering Approach for Items Recommendation. PAKDD (2) Yonghong Yu, Can Wang, Yang Gao, Longbing Cao, Qianqian Chen
2013	B	`conf`	Extracting discriminative features for identifying abnormal sequences in one-class mode. IJCNN Yin Song, Longbing Cao, Junfu Yin, Cheng Wang
2013	J	`jnl`	Identity tests for high dimensional data using RMT. J. Multivar. Anal. Cheng Wang, Jing Yang, Baiqi Miao, Longbing Cao
2013	—	`conf`	Learning Heterogeneous Coupling Relationships Between Non-IID Terms. ADMI Mu Li, Jinjiu Li, Yuming Ou, Ya Zhang, Dan Luo, Maninder Bahtia, Longbing Cao
2013	J	`jnl`	Learning Hidden Structures with Relational Models by Adequately Involving Rich Information in A Network. CoRR Xuhui Fan, Richard Yi Da Xu, Longbing Cao, Yin Song
2013	A*	`conf`	Leveraging Supervised Label Dependency Propagation for Multi-label Learning. ICDM Bin Fu, Guandong Xu, Zhihai Wang, Longbing Cao
2013	—	`conf`	Mining Frequent Patterns from Human Interactions in Meetings Using Directed Acyclic Graphs. PAKDD (1) Anna Fariha, Chowdhury Farhan Ahmed, Carson Kai-Sang Leung, S. M. Abdullah, Longbing Cao
2013	J	`jnl`	Non-parametric Power-law Data Clustering. CoRR Xuhui Fan, Yiling Zeng, Longbing Cao
2013	—	`conf`	On Discovering the Correlated Relationship between Static and Dynamic Data in Clinical Gait Analysis. ECML/PKDD (3) Yin Song, Jian Zhang, Longbing Cao, Morgan Sangeux
2013	J	`jnl`	On the convergence of some possibilistic clustering algorithms. Fuzzy Optim. Decis. Mak. Jian Zhou, Longbing Cao, Nan Yang
2013	—	`conf`	Optimal Allocation of High Dimensional Assets through Canonical Vines. PAKDD (1) Wei Wei, Jinyan Li, Longbing Cao, Jingguang Sun, Chunming Liu, Mu Li
2013	J	`jnl`	Optimal feature selection for sparse linear discriminant analysis and its applications in gene expression data. Comput. Stat. Data Anal. Cheng Wang, Longbing Cao, Baiqi Miao
2013	A*	`conf`	Personalized recommendation via cross-domain triadic factorization. WWW Liang Hu, Jian Cao, Guandong Xu, Longbing Cao, Zhiping Gu, Can Zhu
2013	A	`conf`	Robust Textual Data Streams Mining Based on Continuous Transfer Learning. SDM Longbing Cao, Zhifeng Hao, Bo Liu, Yanshan Xiao, Philip S. Yu
2013	J	`jnl`	SVDD-based outlier detection on uncertain data. Knowl. Inf. Syst. Bo Liu, Yanshan Xiao, Longbing Cao, Zhifeng Hao, Feiqi Deng
2013	J	`jnl`	Special issue on behavior computing. Knowl. Inf. Syst. Longbing Cao, Philip S. Yu, Hiroshi Motoda, Graham J. Williams
2013	J	`jnl`	TCTM: an evaluation framework for architecture design on wireless sensor networks. Int. J. Sens. Networks Dong Yu, Priyadarsi Nanda, Longbing Cao, Xiangjian He
2013	J	`jnl`	TRASMIL: A local anomaly detection framework based on trajectory segmentation and multi-instance learning. Comput. Vis. Image Underst. Wanqi Yang, Yang Gao, Longbing Cao
2013	—	`conf`	The Foundation of Fuzzy Rule Interchange in the Semantic Web. Web Intelligence/IAT Workshops Xing Wang, Ji Chen, Longbing Cao, Xiangfu Meng
2013	—	`ed.`	Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2013 International Workshops: DMApps, DANTH, QIMIE, BDM, CDA, CloudSD, Gold Coast, QLD, Australia, April 14-17, 2013, Revised Selected Papers PAKDD Workshops Jiuyong Li, Longbing Cao, Can Wang, Kay Chen Tan, Bo Liu, Jian Pei, Vincent S. Tseng
2012	A*	`conf`	A Theoretical Framework of the Graph Shift Algorithm. AAAI Xuhui Fan, Longbing Cao
2012	J	`jnl`	A brief introduction to agent mining. Auton. Agents Multi Agent Syst. Longbing Cao, Gerhard Weiss, Philip S. Yu
2012	B	`conf`	A novel auto-parameters selection process for image segmentation. IEEE Congress on Evolutionary Computation Yunzhi Jiang, Pohsiang Tsai, Zhifeng Hao, Longbing Cao
2012	J	`jnl`	Actionable knowledge discovery and delivery. WIREs Data Mining Knowl. Discov. Longbing Cao
2012	—	`ed.`	Agents and Data Mining Interaction - 7th International Workshop on Agents and Data Mining Interation, ADMI 2011, Taipei, Taiwan, May 2-6, 2011, Revised Selected Papers ADMI Longbing Cao, Ana L. C. Bazzan, Andreas L. Symeonidis, Vladimir Gorodetsky, Gerhard Weiss, Philip S. Yu
2012	—	`book`	Behavior Computing - Modeling, Analysis, Mining and Decision. Longbing Cao, Philip S. Yu
2012	A*	`conf`	CCE: A Coupled Framework of Clustering Ensembles. AAAI Zhong She, Can Wang, Longbing Cao
2012	—	`conf`	CD: A Coupled Discretization Algorithm. PAKDD (2) Can Wang, Mingchun Wang, Zhong She, Longbing Cao
2012	J	`jnl`	Conservation of water molecules in protein binding interfaces. Int. J. Bioinform. Res. Appl. Zhenhua Li, Ying He, Longbing Cao, Limsoon Wong, Jinyan Li
2012	J	`jnl`	Coupled Behavior Analysis with Applications. IEEE Trans. Knowl. Data Eng. Longbing Cao, Yuming Ou, Philip S. Yu
2012	A*	`conf`	Coupled behavior analysis for capturing coupling relationships in group-based market manipulations. KDD Yin Song, Longbing Cao, Xindong Wu, Gang Wei, Wu Ye, Wei Ding
2012	B	`conf`	Graph-based coupled behavior analysis: A case study on detecting collaborative manipulations in stock markets. IJCNN Yin Song, Longbing Cao
2012	A	`conf`	Maximum margin clustering on evolutionary data. CIKM Xuhui Fan, Lin Zhu, Longbing Cao, Xia Cui, Yew-Soon Ong
2012	A	`conf`	Model the complex dependence structures of financial variables by using canonical vine. CIKM Wei Wei, Xuhui Fan, Jinyan Li, Longbing Cao
2012	B	`conf`	Multiobjective evolutionary algorithm-based soft subspace clustering. IEEE Congress on Evolutionary Computation Lin Zhu, Longbing Cao, Jie Yang
2012	—	`ed.`	New Frontiers in Applied Data Mining - PAKDD 2011 International Workshops, Shenzhen, China, May 24-27, 2011, Revised Selected Papers PAKDD Workshops Longbing Cao, Joshua Zhexue Huang, James Bailey, Yun Sing Koh, Jun Luo
2012	J	`jnl`	Social Security and Social Welfare Data Mining: An Overview. IEEE Trans. Syst. Man Cybern. Part C Longbing Cao
2012	J	`jnl`	Top-10 Data Mining Case Studies. Int. J. Inf. Technol. Decis. Mak. Gabor Melli, Xindong Wu, Paul Beinat, Francesco Bonchi, Longbing Cao, Rong Duan, Christos Faloutsos, Rayid Ghani, Brendan Kitts, Bart Goethals, Geoffrey J. McLachlan, Jian Pei, Ashok Srivastava, Osmar R. Zaïane
2012	—	`conf`	Trading Strategy Based Portfolio Selection for Actionable Trading Agents. ADMI Wei Cao, Cheng Wang, Longbing Cao
2012	A*	`conf`	USpan: an efficient algorithm for mining high utility sequential patterns. KDD Junfu Yin, Zhigang Zheng, Longbing Cao
2011	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 15th Pacific-Asia Conference, PAKDD 2011, Shenzhen, China, May 24-27, 2011, Proceedings, Part I PAKDD (1) Joshua Zhexue Huang, Longbing Cao, Jaideep Srivastava
2011	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 15th Pacific-Asia Conference, PAKDD 2011, Shenzhen, China, May 24-27, 2011, Proceedings, Part II PAKDD (2) Joshua Zhexue Huang, Longbing Cao, Jaideep Srivastava
2011	J	`jnl`	Combined Mining: Discovering Informative Knowledge in Complex Data. IEEE Trans. Syst. Man Cybern. Part B Longbing Cao, Huaifeng Zhang, Yanchang Zhao, Dan Luo, Chengqi Zhang
2011	A	`conf`	Coupled nominal similarity in unsupervised learning. CIKM Can Wang, Longbing Cao, Mingchun Wang, Jinjiu Li, Wei Wei, Yuming Ou
2011	J	`jnl`	Margin-based ensemble classifier for protein fold recognition. Expert Syst. Appl. Tao Yang, Vojislav Kecman, Longbing Cao, Chengqi Zhang, Joshua Zhexue Huang
2011	—	`conf`	Obtaining an Optimal MAS Configuration for Agent-Enhanced Mining Using Constraint Optimization. ADMI Chayapol Moemeng, Can Wang, Longbing Cao
2011	A	`conf`	One-Class-Based Uncertain Data Stream Learning. SDM Bo Liu, Yanshan Xiao, Longbing Cao, Philip S. Yu
2011	—	`ed.`	Proceedings of the 2011 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2011, Campus Scientifique de la Doua, Lyon, France, August 22-27, 2011 IAT Olivier Boissier, Jeffrey Bradshaw, Longbing Cao, Klaus Fischer, Mohand-Said Hacid
2011	A*	`conf`	Similarity-Based Approach for Positive and Unlabeled Learning. IJCAI Yanshan Xiao, Bo Liu, Jie Yin, Longbing Cao, Chengqi Zhang, Zhifeng Hao
2011	B	`conf`	Soft subspace clustering with competitive agglomeration. FUZZ-IEEE Lin Zhu, Longbing Cao, Jie Yang
2011	A	`conf`	e-NSP: efficient negative sequential pattern mining based on identified positive patterns without database rescanning. CIKM Xiangjun Dong, Zhigang Zheng, Longbing Cao, Yanchang Zhao, Chengqi Zhang, Jinjiu Li, Wei Wei, Yuming Ou
2010	—	`conf`	A Novel Prototype Reduction Method for the PAKDD (2) Tao Yang, Longbing Cao, Chengqi Zhang
2010	—	`ed.`	Advanced Data Mining and Applications - 6th International Conference, ADMA 2010, Chongqing, China, November 19-21, 2010, Proceedings, Part I ADMA (1) Longbing Cao, Yong Feng, Jiang Zhong
2010	—	`ed.`	Advanced Data Mining and Applications - 6th International Conference, ADMA 2010, Chongqing, China, November 19-21, 2010, Proceedings, Part II ADMA (2) Longbing Cao, Jiang Zhong, Yong Feng
2010	—	`ed.`	Agents and Data Mining Interaction, 6th International Workshop on Agents and Data Mining Interaction, ADMI 2010, Toronto, ON, Canada, May 11, 2010, Revised Selected Papers ADMI Longbing Cao, Ana L. C. Bazzan, Vladimir Gorodetsky, Pericles A. Mitkas, Gerhard Weiss, Philip S. Yu
2010	—	`conf`	An Efficient GA-Based Algorithm for Mining Negative Sequential Patterns. PAKDD (1) Zhigang Zheng, Yanchang Zhao, Ziye Zuo, Longbing Cao
2010	—	`conf`	Combining Support Vector Machines and the PAKDD (2) Tao Yang, Vojislav Kecman, Longbing Cao, Chengqi Zhang
2010	A*	`conf`	Detecting abnormal coupled sequences and sequence changes in group-based manipulative trading behaviors. KDD Longbing Cao, Yuming Ou, Philip S. Yu, Gang Wei
2010	J	`jnl`	Domain-Driven Data Mining: Challenges and Prospects. IEEE Trans. Knowl. Data Eng. Longbing Cao
2010	Misc	`conf`	Enhanced co-occurrence distances for categorical data in unsupervised learning. ICMLC Jia-Yi Feng, Mingchun Wang, Can Wang, Longbing Cao
2010	A*	`conf`	Exploiting Local Data Uncertainty to Boost Global Outlier Detection. ICDM Bo Liu, Jie Yin, Yanshan Xiao, Longbing Cao, Philip S. Yu
2010	J	`jnl`	Flexible Frameworks for Actionable Knowledge Discovery. IEEE Trans. Knowl. Data Eng. Longbing Cao, Yanchang Zhao, Huaifeng Zhang, Dan Luo, Chengqi Zhang, Eun K. Park
2010	J	`jnl`	In-depth behavior understanding and use: The behavior informatics approach. Inf. Sci. Longbing Cao
2010	—	`conf`	Integrating Workflow into Agent-Based Distributed Data Mining Systems. ADMI Chayapol Moemeng, Xinhua Zhu, Longbing Cao
2010	A	`conf`	K-farthest-neighbors-based concept boundary determination for support vector data description. CIKM Yanshan Xiao, Bo Liu, Longbing Cao
2010	—	`conf`	Less Effort, More Outcomes: Optimising Debt Recovery with Decision Trees. ICDM Workshops Yanchang Zhao, Hans Bohlscheid, Shanshan Wu, Longbing Cao
2010	J	`jnl`	Multi-agent system for customer relationship management with SVMs tool. Int. J. Intell. Inf. Database Syst. Yanshan Xiao, Bo Liu, Dan Luo, Longbing Cao, Feiqi Deng, Zhifeng Hao
2010	A	`conf`	Orientation distance-based discriminative feature extraction for multi-class classification. CIKM Bo Liu, Yanshan Xiao, Longbing Cao, Philip S. Yu
2010	A*	`conf`	SMILE: A Similarity-Based Approach for Multiple Instance Learning. ICDM Yanshan Xiao, Bo Liu, Longbing Cao, Jie Yin, Xindong Wu
2010	B	`conf`	Testing Adaptive Local Hyperplane for multi-class classification by double cross-validation. IJCNN Tao Yang, Vojislav Kecman, Longbing Cao, Chengqi Zhang
2010	B	`conf`	Time-Sensitive Feature Mining for Temporal Sequence Classification. PRICAI Yong Yang, Longbing Cao, Li Liu
2010	—	`conf`	Vote-Based LELC for Positive and Unlabeled Textual Data Streams. ICDM Workshops Bo Liu, Yanshan Xiao, Longbing Cao, Philip S. Yu
2010	—	`conf`	i-Analyst: An Agent-Based Distributed Data Mining Platform. ICDM Workshops Chayapol Moemeng, Xinhua Zhu, Longbing Cao, Jiahang Chen
2009	A*	`conf`	A Cost-Effective LSH Filter for Fast Pairwise Mining. ICDM Gang Zhao, Yun Xiong, Longbing Cao, Dan Luo, Xuchun Su, Yangyong Zhu
2009	J	`jnl`	A bi-modal face recognition framework integrating facial expression with facial appearance. Pattern Recognit. Lett. Pohsiang Tsai, Longbing Cao, Tom Hintz, Tony Jan
2009	J	`jnl`	Adaptive Anomaly Detection of Coupled Activity Sequences. IEEE Intell. Informatics Bull. Yuming Ou, Longbing Cao, Chengqi Zhang
2009	J	`jnl`	Agent Mining: The Synergy of Agents and Data Mining. IEEE Intell. Syst. Longbing Cao, Vladimir Gorodetsky, Pericles A. Mitkas
2009	—	`ed.`	Agents and Data Mining Interaction, 4th International Workshop, ADMI 2009, Budapest, Hungary, May 10-15, 2009, Revised Selected Papers ADMI Longbing Cao, Vladimir Gorodetsky, Jiming Liu, Gerhard Weiss, Philip S. Yu
2009	J	`jnl`	Behavior Informatics: An Informatics Perspective for Behavior Studies. IEEE Intell. Informatics Bull. Longbing Cao, Philip S. Yu
2009	J	`jnl`	Customer Activity Sequence Classification for Debt Prevention in Social Security. J. Comput. Sci. Technol. Huaifeng Zhang, Yanchang Zhao, Longbing Cao, Chengqi Zhang, Hans Bohlscheid
2009	—	`book`	Data Mining and Multi-agent Integration Longbing Cao
2009	C	`conf`	Data Mining in Financial Markets. ADMA Longbing Cao
2009	C	`conf`	Debt Detection in Social Security by Adaptive Sequence Classification. KSEM Shanshan Wu, Yanchang Zhao, Huaifeng Zhang, Chengqi Zhang, Longbing Cao, Hans Bohlscheid
2009	—	`conf`	Debt Detection in Social Security by Sequence Classification Using Both Positive and Negative Patterns. ECML/PKDD (2) Yanchang Zhao, Huaifeng Zhang, Shanshan Wu, Jian Pei, Longbing Cao, Chengqi Zhang, Hans Bohlscheid
2009	J	`jnl`	Developing actionable trading agents. Knowl. Inf. Syst. Longbing Cao, Tony He
2009	—	`conf`	Editorial to the Proceedings of mobile technologies in enterprise computing systems workshop (MTECS 2009). EDOCW Tiong-Thye Goh, Siddhartha Bose, Wee Keong Ng, Longbing Cao, Vincent C. S. Lee
2009	B	`conf`	Expression-invariant Facial Identification. SMC Pohsiang Tsai, Tich Phuoc Tran, Longbing Cao
2009	J	`jnl`	Guest Editors' Introduction: Agents and Data Mining. IEEE Intell. Syst. Longbing Cao, Vladimir Gorodetsky, Pericles A. Mitkas
2009	—	`ch.`	Introduction to Agent Mining Interaction and Integration. Data Mining and Multi-agent Integration Longbing Cao
2009	J	`jnl`	Metasynthesis: M-Space, M-Interaction, and M-Computing for Open Complex Giant Systems. IEEE Trans. Syst. Man Cybern. Part A Longbing Cao, Ruwei Dai, MengChu Zhou
2009	B	`conf`	Mining Both Positive and Negative Impact-Oriented Sequential Rules from Transactional Data. PAKDD Yanchang Zhao, Huaifeng Zhang, Longbing Cao, Chengqi Zhang, Hans Bohlscheid
2009	—	`conf`	Multi-sphere Support Vector Data Description for Outliers Detection on Multi-distribution Data. ICDM Workshops Yanshan Xiao, Bo Liu, Longbing Cao, Xindong Wu, Chengqi Zhang, Zhifeng Hao, Fengzhao Yang, Jie Cao
2009	Misc	`conf`	Negative-GSP: An Efficient Method for Mining Negative Sequential Patterns. AusDM Zhigang Zheng, Yanchang Zhao, Ziye Zuo, Longbing Cao
2009	J	`jnl`	Novel Intrusion Detection using Probabilistic Neural Network and Adaptive Boosting CoRR Tich Phuoc Tran, Longbing Cao, Dat Tran, Cuong Duc Nguyen
2009	—	`conf`	Ubiquitous Intelligence in Agent Mining. ADMI Longbing Cao, Dan Luo, Chengqi Zhang
2008	J	`jnl`	A Chinese question classification using one-vs-one method as a learning tool. Int. J. Intell. Inf. Database Syst. Yanshan Xiao, Bo Liu, Longbing Cao
2008	J	`jnl`	Activity Mining: from Activities to Actions. Int. J. Inf. Technol. Decis. Mak. Longbing Cao, Yanchang Zhao, Chengqi Zhang, Huaifeng Zhang
2008	—	`conf`	Agent Collaboration for Multiple Trading Strategy Integration. KES-AMSTA Longbing Cao, Dan Luo, Yanshan Xiao, Zhigang Zheng
2008	J	`jnl`	An integrated investment decision-support framework analysing and synthesising multidimensional market dynamics. Int. J. Intell. Syst. Technol. Appl. Wanli Chen, Longbing Cao, Zhe Qin
2008	—	`conf`	Behavior Informatics and Analytics: Let Behavior Talk. ICDM Workshops Longbing Cao
2008	J	`jnl`	Book Review: Computational Methods of Feature Selection. IEEE Intell. Informatics Bull. Longbing Cao, David Taniar
2008	B	`conf`	Combined Association Rule Mining. PAKDD Huaifeng Zhang, Yanchang Zhao, Longbing Cao, Chengqi Zhang
2008	—	`conf`	Combined Pattern Mining: From Learned Rules to Actionable Knowledge. Australasian Conference on Artificial Intelligence Yanchang Zhao, Huaifeng Zhang, Longbing Cao, Chengqi Zhang, Hans Bohlscheid
2008	—	`conf`	Domain Driven Data Mining (D3M). ICDM Workshops Longbing Cao
2008	B	`conf`	Domain-Driven Local Exceptional Pattern Mining for Detecting Stock Price Manipulation. PRICAI Yuming Ou, Longbing Cao, Chao Luo, Chengqi Zhang
2008	B	`conf`	EOCS-MCP 2008 Workshop Organization. COMPSAC Longbing Cao, Ruwei Dai, Vladimir I. Gorodetski
2008	—	`conf`	Efficient Mining of Event-Oriented Negative Sequential Rules. Web Intelligence Yanchang Zhao, Huaifeng Zhang, Longbing Cao, Chengqi Zhang, Hans Bohlscheid
2008	J	`jnl`	Engineering Open Complex Agent Systems: A Case Study. IEEE Trans. Syst. Man Cybern. Part C Longbing Cao, Chengqi Zhang, MengChu Zhou
2008	—	`conf`	Exception Mining on Multiple Time Series in Stock Market. Web Intelligence/IAT Workshops Chao Luo, Yanchang Zhao, Longbing Cao, Yuming Ou, Chengqi Zhang
2008	—	`conf`	F-TRADE 3.0: An Agent-Based Integrated Framework for Data Mining Experiments. Web Intelligence/IAT Workshops Peerapol Moemeng, Longbing Cao, Chengqi Zhang
2008	J	`jnl`	Integrating Agent, Service and Organizational Computing. Int. J. Softw. Eng. Knowl. Eng. Longbing Cao
2008	J	`jnl`	Intelligence Metasynthesis and Knowledge Processing in Intelligent Systems. J. Univers. Comput. Sci. Longbing Cao, Ngoc Thanh Nguyen
2008	J	`jnl`	Knowledge Processing in Intelligent Systems. J. Univers. Comput. Sci. Longbing Cao, Ngoc Thanh Nguyen
2008	J	`jnl`	Market Microstructure Patterns Powering Trading and Surveillance Agents. J. Univers. Comput. Sci. Longbing Cao, Yuming Ou
2008	B	`conf`	Message from the EOCS-MCP 2008 Workshop Organizers. COMPSAC Longbing Cao, Ruwei Dai, Vladimir I. Gorodetski
2008	B	`conf`	Metasynthetic Computing for Solving Open Complex Problems. COMPSAC Longbing Cao
2008	—	`conf`	Mining Exceptional Activity Patterns in Microstructure Data. Web Intelligence Yuming Ou, Longbing Cao, Chao Luo, Li Liu
2008	J	`jnl`	Mining Impact-Targeted Activity Patterns in Imbalanced Data. IEEE Trans. Knowl. Data Eng. Longbing Cao, Yanchang Zhao, Chengqi Zhang
2008	J	`jnl`	Mining in-depth patterns in stock market. Int. J. Intell. Syst. Technol. Appl. Li Lin, Longbing Cao
2008	A*	`conf`	Multi-Space-Mapped SVMs for Multi-class Classification. ICDM Bo Liu, Longbing Cao, Philip S. Yu, Chengqi Zhang
2008	—	`conf`	Multi-agent System for Custom Relationship Management with SVMs Tool. KES-AMSTA Yanshan Xiao, Bo Liu, Dan Luo, Longbing Cao
2008	B	`conf`	Outlier Mining on Multiple Time Series Data in Stock Market. PRICAI Chao Luo, Yanchang Zhao, Longbing Cao, Yuming Ou, Li Liu
2008	A	`conf`	Spatial-temporal attention analysis for home video. ICME Xuekan Qiu, Shuqiang Jiang, Huiying Liu, Qingming Huang, Longbing Cao
2007	—	`conf`	Agent-Mining Interaction: An Emerging Area. AIS-ADM Longbing Cao, Chao Luo, Chengqi Zhang
2007	—	`ed.`	Autonomous Intelligent Systems: Multi-Agents and Data Mining, Second International Workshop, AIS-ADM 2007, St. Petersburg, Russia, June 3-5, 2007, Proceedings AIS-ADM Vladimir Gorodetsky, Chengqi Zhang, Victor A. Skormin, Longbing Cao
2007	—	`conf`	Building Agent Service Oriented Multi-Agent Systems. KES-AMSTA Dan Luo, Longbing Cao, Jiarui Ni, Li Liu
2007	—	`conf`	Class Association Rule Mining with Multiple Imbalanced Attributes. Australian Conference on Artificial Intelligence Huaifeng Zhang, Yanchang Zhao, Longbing Cao, Chengqi Zhang
2007	J	`jnl`	DDDM2007: Domain Driven Data Mining. SIGKDD Explor. Longbing Cao, Chengqi Zhang, Yanchang Zhao, Philip S. Yu, Graham Williams
2007	—	`conf`	Detecting Turning Points of Trading Price and Return Volatility for Market Surveillance Agents. Web Intelligence/IAT Workshops Yuming Ou, Longbing Cao, Ting Yu, Chengqi Zhang
2007	—	`conf`	Developing Actionable Trading Strategies for Trading Agents. IAT Longbing Cao, Chao Luo, Chengqi Zhang
2007	J	`jnl`	Domain-Driven, Actionable Knowledge Discovery. IEEE Intell. Syst. Longbing Cao, Chengqi Zhang, Qiang Yang, David A. Bell, Michail Vlachos, Bahar Taneri, Eamonn J. Keogh, Philip S. Yu, Ning Zhong, Mafruz Zaman Ashrafi, David Taniar, Eugene Dubossarsky, Warwick Graco
2007	—	`conf`	Evolutionary Optimization of Trading Strategies. DMBiz@PAKDD Jiarui Ni, Longbing Cao, Chengqi Zhang
2007	A	`conf`	F-trade: an agent-mining symbiont for financial services. AAMAS Longbing Cao, Chengqi Zhang
2007	J	`jnl`	Knowledge actionability: satisfying technical and business interestingness. Int. J. Bus. Intell. Data Min. Longbing Cao, Dan Luo, Chengqi Zhang
2007	—	`conf`	Mining High Impact Exceptional Behavior Patterns. PAKDD Workshops Longbing Cao, Yanchang Zhao, Fernando Figueiredo, Yuming Ou, Dan Luo
2007	—	`conf`	Multi-strategy Integration for Actionable Trading Agents. Web Intelligence/IAT Workshops Longbing Cao
2007	J	`jnl`	The Evolution of KDD: towards Domain-Driven Data Mining. Int. J. Pattern Recognit. Artif. Intell. Longbing Cao, Chengqi Zhang
2007	—	`conf`	Towards Business Interestingness in Actionable Knowledge Discovery. DMBiz@PAKDD Dan Luo, Longbing Cao, Chao Luo, Chengqi Zhang, Weiyuan Wang
2006	C	`conf`	Activity Mining: Challenges and Prospects. ADMA Longbing Cao
2006	—	`conf`	Agent Services-Oriented Architectural Design of a Framework for Artificial Stock Markets. AMT Jiarui Ni, Longbing Cao, Chengqi Zhang
2006	Misc	`conf`	Discovering Debtor Patterns of Centrelink Customers. AusDM Yanchang Zhao, Longbing Cao, Yvonne Morrow, Yuming Ou, Jiarui Ni, Chengqi Zhang
2006	B	`conf`	Domain-Driven Actionable Knowledge Discovery in the Real World. PAKDD Longbing Cao, Chengqi Zhang
2006	J	`jnl`	Domain-Driven Data Mining: A Practical Methodology. Int. J. Data Warehous. Min. Longbing Cao, Chengqi Zhang
2006	—	`conf`	Domain-Driven Data Mining: Methodologies and Applications. AMT Chengqi Zhang, Longbing Cao
2006	B	`conf`	Fuzzy Genetic Algorithms for Pairs Mining. PRICAI Longbing Cao, Dan Luo, Chengqi Zhang
2006	—	`conf`	Intelligence Metasynthesis in Building Business Intelligence Systems. WImBI Longbing Cao, Chengqi Zhang, Dan Luo, Ruwei Dai
2006	C	`conf`	Ontological Engineering in Data Warehousing. APWeb Longbing Cao, Jiarui Ni, Dan Luo
2006	J	`jnl`	Ontology-based integration of business intelligence. Web Intell. Agent Syst. Longbing Cao, Chengqi Zhang, Jiming Liu
2006	—	`conf`	Stock Data Mining through Fuzzy Genetic Algorithms. JCIS Longbing Cao, Chao Luo, Jiarui Ni, Dan Luo, Chengqi Zhang
2005	—	`conf`	Agent Services-Orinted Architectural Design of Open Complex Agent Systems. IAT Longbing Cao, Chengqi Zhang, Jiarui Ni
2005	—	`conf`	Agents and Data Mining: Mutual Enhancement by Integration. AIS-ADM Chengqi Zhang, Zili Zhang, Longbing Cao
2005	—	`conf`	Genetic Algorithms for Robust Optimization in Financial Applications. Computational Intelligence Li Lin, Longbing Cao, Chengqi Zhang
2005	—	`conf`	The Fish-eye Visualization of Foreign Currency Exchange Data Streams. APVIS Li Lin, Longbing Cao, Chengqi Zhang
2005	—	`conf`	The Visualization of Large Database in Stock Market. Databases and Applications Li Lin, Longbing Cao, Chengqi Zhang
2004	—	`conf`	Agent Services-Based Infrastructure for Online Assessment of Trading Strategies. IAT Longbing Cao, Jiaqi Wang, Li Lin, Chengqi Zhang
2004	—	`conf`	Agent Services-Driven Plug-and-Play in F-TRADE. Australian Conference on Artificial Intelligence Longbing Cao, Jiarui Ni, Jiaqi Wang, Chengqi Zhang
2004	—	`conf`	Integration of Business Intelligence Based on Three-Level Ontology Services. Web Intelligence Longbing Cao, Chao Luo, Dan Luo, Chengqi Zhang
2004	C	`conf`	Integrative Early Requirements Analysis for Agent-Based Systems. HIS Longbing Cao, Chengqi Zhang, Dan Luo, Wanli Chen, Neda Zamani
2004	B	`conf`	Ontology Services-Based Information Integration in Mining Telecom Business Intelligence. PRICAI Longbing Cao, Chao Luo, Dan Luo, Li Liu
2004	—	`conf`	Ontology Transformation in Multiple Domains. Australian Conference on Artificial Intelligence Longbing Cao, Dan Luo, Chao Luo, Li Liu
2003	J	`jnl`	Agent-Oriented Metasynthetic Engineering for Decision Making. Int. J. Inf. Technol. Decis. Mak. Longbing Cao, Ruwei Dai
2003	C	`conf`	Open Giant Intelligent Information Systems and Its Agent-Oriented Analysis and Design. SEKE Longbing Cao, Chunsheng Li, Chengqi Zhang, Ruwei Dai
2003	—	`conf`	Open Giant Intelligent Information Systems and Its Multiagent-Oriented System Design. Software Engineering Research and Practice Longbing Cao, Chunsheng Li, Chengqi Zhang, Ruwei Dai
2003	C	`conf`	Systematic Engineering in Designing Architecture of Telecommunications Business Intelligence System. HIS Longbing Cao, Dan Luo, Chao Luo, Chengqi Zhang
2003	C	`conf`	Theoretical Evaluation of Ring-Based Architectural Model for Middle Agents in Agent-Based System. ISMIS Chunsheng Li, Chengqi Zhang, Longbing Cao