Mu Zhu - RankMe

59 papers A 1B 3C 3Misc 1Journal 45Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cyber Deception for Mission Surveillance via Hypergame-Theoretic Deep Reinforcement Learning. CoRR Zelin Wan, Jin-Hee Cho, Mu Zhu, Ahmed H. Anwar, Charles A. Kamhoua, Munindar P. Singh
2025	J	`jnl`	Cross-Group EEG Emotion Recognition Based on Phase Space Reconstruction Topology. Entropy Xuanpeng Zhu, Mu Zhu, Dong Li, Yu Song
2025	C	`conf`	TAD-FC: An Adaptive Network Attack Detection and Feature Capture Approach for Real-World Network Environments. CSCWD Cheng Zhang, Xi Huang, Jing Zhao, Guanyao Du, Yuhai Lu, Mu Zhu, Chun Long
2024	J	`jnl`	A lightweight attention-based network for micro-expression recognition. Multim. Tools Appl. Dashuai Hao, Mu Zhu, Chen Zhang, Guan Yuan, Qiuyan Yan, Xiaobao Zhuang
2024	J	`jnl`	Community detection: Concepts, algorithms, evaluation and challenges. Int. J. Wavelets Multiresolution Inf. Process. Song Qu, Guan Yuan, Hui Xu, Yanmei Zhang, Mingqing Tang, Mu Zhu
2024	J	`jnl`	Decision Theory-Guided Deep Reinforcement Learning for Fast Learning. CoRR Zelin Wan, Jin-Hee Cho, Mu Zhu, Ahmed H. Anwar, Charles A. Kamhoua, Munindar P. Singh
2024	J	`jnl`	EEG-eye movement based subject dependence, cross-subject, and cross-session emotion recognition with multidimensional homogeneous encoding space alignment. Expert Syst. Appl. Mu Zhu, Qingzhou Wu, Zhongli Bai, Yu Song, Qiang Gao
2024	J	`jnl`	MGMS: A Modality-General and Modality-Specific Learning Model Using EEG and Facial Expression for Hearing-Impaired Emotion Recognition. IEEE Trans. Instrum. Meas. Qingzhou Wu, Mu Zhu, Wenhui Xu, Junchi Wang, Zemin Mao, Qiang Gao, Yu Song
2024	J	`jnl`	Optimizing Effectiveness and Defense of Drone Surveillance Missions via Honey Drones. ACM Trans. Internet Techn. Zelin Wan, Jin-Hee Cho, Mu Zhu, Ahmed H. Anwar, Charles A. Kamhoua, Munindar P. Singh
2023	J	`jnl`	Adaptive self-propagation graph convolutional network for recommendation. World Wide Web (WWW) Zhuo Cai, Guan Yuan, Xiaobao Zhuang, Senzhang Wang, Shaojie Qiao, Mu Zhu
2023	B	`conf`	Deception in Drone Surveillance Missions: Strategic vs. Learning Approaches. MobiHoc Zelin Wan, Jin-Hee Cho, Mu Zhu, Ahmed H. Anwar, Charles A. Kamhoua, Munindar P. Singh
2023	J	`jnl`	Dependence Model Assessment and Selection with DecoupleNets. J. Comput. Graph. Stat. Marius Hofert, Avinash Prasad, Mu Zhu
2023	J	`jnl`	Heterogeneous graph neural networks analysis: a survey of techniques, evaluations and applications. Artif. Intell. Rev. Rui Bing, Guan Yuan, Mu Zhu, Fanrong Meng, Huifang Ma, Shaojie Qiao
2023	J	`jnl`	Image-Evoked Emotion Recognition for Hearing-Impaired Subjects with EEG Signals. Sensors Mu Zhu, Haonan Jin, Zhongli Bai, Zhiwei Li, Yu Song
2023	J	`jnl`	Resisting Multiple Advanced Persistent Threats via Hypergame-Theoretic Defensive Deception. IEEE Trans. Netw. Serv. Manag. Zelin Wan, Jin-Hee Cho, Mu Zhu, Ahmed H. Anwar, Charles A. Kamhoua, Munindar P. Singh
2023	J	`jnl`	Restricted Tweedie Stochastic Block Models. CoRR Jie Jian, Mu Zhu, Peijun Sang
2023	J	`jnl`	SECT: A Method of Shifted EEG Channel Transformer for Emotion Recognition. IEEE J. Biomed. Health Informatics Zhongli Bai, Fazheng Hou, Kaixuan Sun, Qingzhou Wu, Mu Zhu, Zemin Mao, Yu Song, Qiang Gao
2022	J	`jnl`	Dependence model assessment and selection with DecoupleNets. CoRR Marius Hofert, Avinash Prasad, Mu Zhu
2022	J	`jnl`	Foureye: Defensive Deception Against Advanced Persistent Threats via Hypergame Theory. IEEE Trans. Netw. Serv. Manag. Zelin Wan, Jin-Hee Cho, Mu Zhu, Ahmed H. Anwar, Charles A. Kamhoua, Munindar P. Singh
2022	B	`conf`	Honeypot-Based Cyber Deception Against Malicious Reconnaissance via Hypergame Theory. GLOBECOM Ahmed H. Anwar, Mu Zhu, Zelin Wan, Jin-Hee Cho, Charles A. Kamhoua, Munindar P. Singh
2022	—	`conf`	Influence of trees' canopy occupation on pedestrian thermal environment in summer. Geoinformatics Ding Lin, Jun Wu, Yamin Liu, Mu Zhu, Chongcheng Chen
2021	—	`conf`	A Human-Computer Interaction Scheme of Lower-Limb Power-Assist Flexible Robot. RCAR Detian Zeng, Lei Sun, Xin Chen, Yunfei Li, Mu Zhu, Xinxiang Gong
2021	J	`jnl`	A Survey of Defensive Deception: Approaches Using Game Theory and Machine Learning. IEEE Commun. Surv. Tutorials Mu Zhu, Ahmed H. Anwar, Zelin Wan, Jin-Hee Cho, Charles A. Kamhoua, Munindar P. Singh
2021	J	`jnl`	Foureye: Defensive Deception based on Hypergame Theory Against Advanced Persistent Threats. CoRR Zelin Wan, Jin-Hee Cho, Mu Zhu, Ahmed H. Anwar, Charles A. Kamhoua, Munindar P. Singh
2021	J	`jnl`	Game-Theoretic and Machine Learning-based Approaches for Defensive Deception: A Survey. CoRR Mu Zhu, Ahmed H. Anwar, Zelin Wan, Jin-Hee Cho, Charles A. Kamhoua, Munindar P. Singh
2021	J	`jnl`	Quasi-Random Sampling for Multivariate Distributions via Generative Neural Networks. J. Comput. Graph. Stat. Marius Hofert, Avinash Prasad, Mu Zhu
2021	J	`jnl`	RafterNet: Probabilistic predictions in multi-response regression. CoRR Marius Hofert, Avinash Prasad, Mu Zhu
2021	—	`conf`	Role-Based Deception in Enterprise Networks. CODASPY Iffat Anjum, Mu Zhu, Isaac Polinsky, William Enck, Michael K. Reiter, Munindar P. Singh
2020	—	`conf`	Applications of Multivariate Quasi-Random Sampling with Neural Networks. MCQMC Marius Hofert, Avinash Prasad, Mu Zhu
2020	J	`jnl`	Applications of multivariate quasi-random sampling with neural networks. CoRR Marius Hofert, Avinash Prasad, Mu Zhu
2020	J	`jnl`	Multi-level prediction Siamese network for real-time UAV visual tracking. Image Vis. Comput. Mu Zhu, Hui Zhang, Jing Zhang, Li Zhuo
2020	J	`jnl`	Multivariate time-series modeling with generative neural networks. CoRR Marius Hofert, Avinash Prasad, Mu Zhu
2020	J	`jnl`	Optimizing Vulnerability-Driven Honey Traffic Using Game Theory. CoRR Iffat Anjum, Mohammad Sujan Miah, Mu Zhu, Nazia Sharmin, Christopher Kiekintveld, William Enck, Munindar P. Singh
2020	J	`jnl`	Role-Based Deception in Enterprise Networks. CoRR Iffat Anjum, Mu Zhu, Isaac Polinsky, William Enck, Michael K. Reiter, Munindar P. Singh
2019	J	`jnl`	A framework for measuring association of random vectors via collapsed random variables. J. Multivar. Anal. Marius Hofert, Wayne Oldford, Avinash Prasad, Mu Zhu
2019	J	`jnl`	Long-Term Visual Object Tracking via Continual Learning. IEEE Access Hui Zhang, Mu Zhu, Jing Zhang, Li Zhuo
2019	J	`jnl`	Pruning variable selection ensembles. Stat. Anal. Data Min. Chunxia Zhang, Yilei Wu, Mu Zhu
2018	J	`jnl`	Quasi-random number generators for multivariate distributions based on generative neural networks. CoRR Marius Hofert, Avinash Prasad, Mu Zhu
2017	J	`jnl`	Pruning variable selection ensembles. CoRR Chunxia Zhang, Yilei Wu, Mu Zhu
2016	J	`jnl`	Mixed H Int. J. Mach. Learn. Cybern. Mu Zhu, Jizhen Liu, Zhongwei Lin, Hongmin Meng
2015	Misc	`conf`	A Relationship between the Average Precision and the Area Under the ROC Curve. ICTIR Wanhua Su, Yan Yuan, Mu Zhu
2015	J	`jnl`	Opinion versus practice regarding the use of rehabilitation services in home care: an investigation using machine learning algorithms. BMC Medical Informatics Decis. Mak. Lu Cheng, Mu Zhu, Jeffrey W. Poss, John P. Hirdes, Christine Glenny, Paul Stolee
2015	J	`jnl`	Using kernelized partial canonical correlation analysis to study directly coupled side chains and allostery in small G proteins. Bioinform. Laleh Soltan Ghoraie, Forbes J. Burkowski, Mu Zhu
2014	J	`jnl`	Residue-Specific Side-Chain Polymorphismsvia Particle Belief Propagation. IEEE ACM Trans. Comput. Biol. Bioinform. Laleh Soltan Ghoraie, Forbes J. Burkowski, Shuai Cheng Li, Mu Zhu
2014	J	`jnl`	Structural Optimization of Deploying Structures Composed of Linkages. J. Comput. Civ. Eng. Ashley P. Thrall, Mu Zhu, James K. Guest, Ignacio Paya-Zaforteza, Sigrid Adriaenssens
2014	—	`ch.`	Using Machine Learning to Plan Rehabilitation for Home Care Clients: Beyond "Black-Box" Predictions. Machine Learning in Healthcare Informatics Mu Zhu, Lu Cheng, Joshua J. Armstrong, Jeffrey W. Poss, John P. Hirdes, Paul Stolee
2013	J	`jnl`	Content-boosted matrix factorization techniques for recommender systems. Stat. Anal. Data Min. Jennifer Nguyen, Mu Zhu
2012	J	`jnl`	Content-boosted Matrix Factorization Techniques for Recommender Systems CoRR Jennifer Nguyen, Mu Zhu
2011	A	`conf`	Content-boosted matrix factorization for recommender systems: experiments with recipe recommendation. RecSys Peter Forbes, Mu Zhu
2010	C	`conf`	A service-oriented travel portal with semantic package recommender. CSCWD Yinsheng Li, Mu Zhu, Han Chen, Kuo-Ming Chao
2010	—	`conf`	Evaluating a Service-Oriented Travel Portal. SOSE Yinsheng Li, Han Chen, Mu Zhu, Jen-Yao Chung
2009	C	`conf`	A collaborative travel service portal with multi-level authentication. CSCWD Yinsheng Li, Haifeng Xie, Mu Zhu, Bing Dong, Kuo-Ming Chao
2009	B	`conf`	An XML-based Data Interchange Protocol and Supporting Systems for Online Customs Declaration. SMC Yinsheng Li, Fangyuan Kang, Weiming Shen, Mu Zhu
2008	J	`jnl`	LAGO on the unit sphere. Neural Networks Alexandra Laflamme-Sanders, Mu Zhu
2007	J	`jnl`	Using machine learning algorithms to guide rehabilitation planning for home care clients. BMC Medical Informatics Decis. Mak. Mu Zhu, Zhanyang Zhang, John P. Hirdes, Paul Stolee
2006	J	`jnl`	A factor analysis model for functional genomics. BMC Bioinform. Rafal Kustra, Romy Shioda, Mu Zhu
2006	J	`jnl`	Automatic dimensionality selection from the scree plot via the use of profile likelihood. Comput. Stat. Data Anal. Mu Zhu, Ali Ghodsi
2006	J	`jnl`	Darwinian Evolution in Parallel Universes: A Parallel Genetic Algorithm for Variable Selection. Technometrics Mu Zhu, Hugh A. Chipman
2006	J	`jnl`	LAGO: A Computationally Efficient Approach for Statistical Detection. Technometrics Mu Zhu, Wanhua Su, Hugh A. Chipman