A factor analysis model for functional genomics. - Rafal Kustra; Romy Shioda; Mu Zhu (BMC Bioinform., 2006)

Automatic dimensionality selection from the scree plot via the use of profile likelihood. - Mu Zhu; Ali Ghodsi 001 (Comput. Stat. Data Anal., 2006)

Darwinian Evolution in Parallel Universes: A Parallel Genetic Algorithm for Variable Selection. - Mu Zhu; Hugh A. Chipman (Technometrics, 2006)

LAGO: A Computationally Efficient Approach for Statistical Detection. - Mu Zhu; Wanhua Su; Hugh A. Chipman (Technometrics, 2006)

Using machine learning algorithms to guide rehabilitation planning for home care clients. - Mu Zhu; Zhanyang Zhang; John P. Hirdes; Paul Stolee (BMC Medical Informatics Decis. Mak., 2007)

LAGO on the unit sphere. - Alexandra Laflamme-Sanders; Mu Zhu (Neural Networks, 2008)

A collaborative travel service portal with multi-level authentication. - Yinsheng Li; Haifeng Xie; Mu Zhu; Bing Dong; Kuo-Ming Chao (CSCWD, 2009)

An XML-based Data Interchange Protocol and Supporting Systems for Online Customs Declaration. - Yinsheng Li; Fangyuan Kang; Weiming Shen 001; Mu Zhu (SMC, 2009)

A service-oriented travel portal with semantic package recommender. - Yinsheng Li; Mu Zhu; Han Chen; Kuo-Ming Chao (CSCWD, 2010)

Evaluating a Service-Oriented Travel Portal. - Yinsheng Li; Han Chen; Mu Zhu; Jen-Yao Chung (SOSE, 2010)

Content-boosted matrix factorization for recommender systems: experiments with recipe recommendation. - Peter Forbes; Mu Zhu (RecSys, 2011)

Content-boosted matrix factorization techniques for recommender systems. - Jennifer Nguyen; Mu Zhu (Stat. Anal. Data Min., 2013)

Structural Optimization of Deploying Structures Composed of Linkages. - Ashley P. Thrall; Mu Zhu; James K. Guest; Ignacio Paya-Zaforteza; Sigrid Adriaenssens (J. Comput. Civ. Eng., 2014)

Residue-Specific Side-Chain Polymorphismsvia Particle Belief Propagation. - Laleh Soltan Ghoraie; Forbes J. Burkowski; Shuai Cheng Li 001; Mu Zhu (IEEE ACM Trans. Comput. Biol. Bioinform., 2014)

Using Machine Learning to Plan Rehabilitation for Home Care Clients: Beyond "Black-Box" Predictions. - Mu Zhu; Lu Cheng 002; Joshua J. Armstrong; Jeffrey W. Poss; John P. Hirdes; Paul Stolee (Machine Learning in Healthcare Informatics, 2014)

A Relationship between the Average Precision and the Area Under the ROC Curve. - Wanhua Su; Yan Yuan; Mu Zhu (ICTIR, 2015)

Using kernelized partial canonical correlation analysis to study directly coupled side chains and allostery in small G proteins. - Laleh Soltan Ghoraie; Forbes J. Burkowski; Mu Zhu (Bioinform., 2015)

Opinion versus practice regarding the use of rehabilitation services in home care: an investigation using machine learning algorithms. - Lu Cheng 002; Mu Zhu; Jeffrey W. Poss; John P. Hirdes; Christine Glenny; Paul Stolee (BMC Medical Informatics Decis. Mak., 2015)

Mixed H2/H∞ pitch control of wind turbine generator system based on global exact linearization and regional pole placement. - Mu Zhu; Jizhen Liu; Zhongwei Lin; Hongmin Meng (Int. J. Mach. Learn. Cybern., 2016)

Quasi-random number generators for multivariate distributions based on generative neural networks. - Marius Hofert; Avinash Prasad; Mu Zhu (CoRR, 2018)

Long-Term Visual Object Tracking via Continual Learning. - Hui Zhang 049; Mu Zhu; Jing Zhang 023; Li Zhuo 001 (IEEE Access, 2019)

A framework for measuring association of random vectors via collapsed random variables. - Marius Hofert; Wayne Oldford; Avinash Prasad; Mu Zhu (J. Multivar. Anal., 2019)

Pruning variable selection ensembles. - Chunxia Zhang 002; Yilei Wu; Mu Zhu (Stat. Anal. Data Min., 2019)

Applications of Multivariate Quasi-Random Sampling with Neural Networks. - Marius Hofert; Avinash Prasad; Mu Zhu (MCQMC, 2020)

Optimizing Vulnerability-Driven Honey Traffic Using Game Theory. - Iffat Anjum; Mohammad Sujan Miah; Mu Zhu; Nazia Sharmin; Christopher Kiekintveld; William Enck; Munindar P. Singh (CoRR, 2020)

Multivariate time-series modeling with generative neural networks. - Marius Hofert; Avinash Prasad; Mu Zhu (CoRR, 2020)

Multi-level prediction Siamese network for real-time UAV visual tracking. - Mu Zhu; Hui Zhang 049; Jing Zhang 023; Li Zhuo 001 (Image Vis. Comput., 2020)

Role-Based Deception in Enterprise Networks. - Iffat Anjum; Mu Zhu; Isaac Polinsky; William Enck; Michael K. Reiter; Munindar P. Singh (CODASPY, 2021)

A Human-Computer Interaction Scheme of Lower-Limb Power-Assist Flexible Robot. - Detian Zeng; Lei Sun; Xin Chen; Yunfei Li; Mu Zhu; Xinxiang Gong (RCAR, 2021)

A Survey of Defensive Deception: Approaches Using Game Theory and Machine Learning. - Mu Zhu; Ahmed H. Anwar; Zelin Wan; Jin-Hee Cho; Charles A. Kamhoua; Munindar P. Singh (IEEE Commun. Surv. Tutorials, 2021)

Foureye: Defensive Deception based on Hypergame Theory Against Advanced Persistent Threats. - Zelin Wan; Jin-Hee Cho; Mu Zhu; Ahmed H. Anwar; Charles A. Kamhoua; Munindar P. Singh (CoRR, 2021)

Game-Theoretic and Machine Learning-based Approaches for Defensive Deception: A Survey. - Mu Zhu; Ahmed H. Anwar; Zelin Wan; Jin-Hee Cho; Charles A. Kamhoua; Munindar P. Singh (CoRR, 2021)

RafterNet: Probabilistic predictions in multi-response regression. - Marius Hofert; Avinash Prasad; Mu Zhu (CoRR, 2021)

Quasi-Random Sampling for Multivariate Distributions via Generative Neural Networks. - Marius Hofert; Avinash Prasad; Mu Zhu (J. Comput. Graph. Stat., 2021)

Influence of trees' canopy occupation on pedestrian thermal environment in summer. - Ding Lin; Jun Wu 001; Yamin Liu; Mu Zhu; Chongcheng Chen (Geoinformatics, 2022)

Honeypot-Based Cyber Deception Against Malicious Reconnaissance via Hypergame Theory. - Ahmed H. Anwar; Mu Zhu; Zelin Wan; Jin-Hee Cho; Charles A. Kamhoua; Munindar P. Singh (GLOBECOM, 2022)

Foureye: Defensive Deception Against Advanced Persistent Threats via Hypergame Theory. - Zelin Wan; Jin-Hee Cho; Mu Zhu; Ahmed H. Anwar; Charles A. Kamhoua; Munindar P. Singh (IEEE Trans. Netw. Serv. Manag., 2022)

Deception in Drone Surveillance Missions: Strategic vs. Learning Approaches. - Zelin Wan; Jin-Hee Cho; Mu Zhu; Ahmed H. Anwar; Charles A. Kamhoua; Munindar P. Singh (MobiHoc, 2023)

Heterogeneous graph neural networks analysis: a survey of techniques, evaluations and applications. - Rui Bing; Guan Yuan; Mu Zhu; Fanrong Meng; Huifang Ma; Shaojie Qiao (Artif. Intell. Rev., 2023)

Restricted Tweedie Stochastic Block Models. - Jie Jian; Mu Zhu; Peijun Sang (CoRR, 2023)

Dependence Model Assessment and Selection with DecoupleNets. - Marius Hofert; Avinash Prasad; Mu Zhu (J. Comput. Graph. Stat., 2023)

Image-Evoked Emotion Recognition for Hearing-Impaired Subjects with EEG Signals. - Mu Zhu; Haonan Jin; Zhongli Bai; Zhiwei Li 009; Yu Song 004 (Sensors, 2023)

Resisting Multiple Advanced Persistent Threats via Hypergame-Theoretic Defensive Deception. - Zelin Wan; Jin-Hee Cho; Mu Zhu; Ahmed H. Anwar; Charles A. Kamhoua; Munindar P. Singh (IEEE Trans. Netw. Serv. Manag., 2023)

Adaptive self-propagation graph convolutional network for recommendation. - Zhuo Cai 002; Guan Yuan; Xiaobao Zhuang; Senzhang Wang; Shaojie Qiao; Mu Zhu (World Wide Web (WWW), 2023)

SECT: A Method of Shifted EEG Channel Transformer for Emotion Recognition. - Zhongli Bai; Fazheng Hou; Kaixuan Sun; Qingzhou Wu; Mu Zhu; Zemin Mao; Yu Song 004; Qiang Gao (IEEE J. Biomed. Health Informatics, 2023)

Decision Theory-Guided Deep Reinforcement Learning for Fast Learning. - Zelin Wan; Jin-Hee Cho; Mu Zhu; Ahmed H. Anwar; Charles A. Kamhoua; Munindar P. Singh (CoRR, 2024)

EEG-eye movement based subject dependence, cross-subject, and cross-session emotion recognition with multidimensional homogeneous encoding space alignment. - Mu Zhu; Qingzhou Wu; Zhongli Bai; Yu Song 004; Qiang Gao (Expert Syst. Appl., 2024)

MGMS: A Modality-General and Modality-Specific Learning Model Using EEG and Facial Expression for Hearing-Impaired Emotion Recognition. - Qingzhou Wu; Mu Zhu; Wenhui Xu; Junchi Wang; Zemin Mao; Qiang Gao; Yu Song 004 (IEEE Trans. Instrum. Meas., 2024)

A lightweight attention-based network for micro-expression recognition. - Dashuai Hao; Mu Zhu; Chen Zhang; Guan Yuan; Qiuyan Yan; Xiaobao Zhuang (Multim. Tools Appl., 2024)

Community detection: Concepts, algorithms, evaluation and challenges. - Song Qu; Guan Yuan; Hui Xu; Yanmei Zhang; Mingqing Tang; Mu Zhu (Int. J. Wavelets Multiresolution Inf. Process., 2024)