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Mu Zhu
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2020 – today
- 2024
- [j29]Mu Zhu, Qingzhou Wu, Zhongli Bai, Yu Song, Qiang Gao:
EEG-eye movement based subject dependence, cross-subject, and cross-session emotion recognition with multidimensional homogeneous encoding space alignment. Expert Syst. Appl. 251: 124001 (2024) - [j28]Song Qu, Guan Yuan, Hui Xu, Yanmei Zhang, Mingqing Tang, Mu Zhu:
Community detection: Concepts, algorithms, evaluation and challenges. Int. J. Wavelets Multiresolution Inf. Process. 22(3): 2350053:1-2350053:29 (2024) - [j27]Dashuai Hao, Mu Zhu, Chen Zhang, Guan Yuan, Qiuyan Yan, Xiaobao Zhuang:
A lightweight attention-based network for micro-expression recognition. Multim. Tools Appl. 83(10): 29239-29260 (2024) - [j26]Qingzhou Wu, Mu Zhu, Wenhui Xu, Junchi Wang, Zemin Mao, Qiang Gao, Yu Song:
MGMS: A Modality-General and Modality-Specific Learning Model Using EEG and Facial Expression for Hearing-Impaired Emotion Recognition. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [i13]Zelin Wan, Jin-Hee Cho, Mu Zhu, Ahmed H. Anwar, Charles A. Kamhoua, Munindar P. Singh:
Decision Theory-Guided Deep Reinforcement Learning for Fast Learning. CoRR abs/2402.06023 (2024) - 2023
- [j25]Rui Bing, Guan Yuan, Mu Zhu, Fanrong Meng, Huifang Ma, Shaojie Qiao:
Heterogeneous graph neural networks analysis: a survey of techniques, evaluations and applications. Artif. Intell. Rev. 56(8): 8003-8042 (2023) - [j24]Marius Hofert, Avinash Prasad, Mu Zhu:
Dependence Model Assessment and Selection with DecoupleNets. J. Comput. Graph. Stat. 32(4): 1272-1286 (2023) - [j23]Mu Zhu, Haonan Jin, Zhongli Bai, Zhiwei Li, Yu Song:
Image-Evoked Emotion Recognition for Hearing-Impaired Subjects with EEG Signals. Sensors 23(12): 5461 (2023) - [j22]Zhongli Bai, Fazheng Hou, Kaixuan Sun, Qingzhou Wu, Mu Zhu, Zemin Mao, Yu Song, Qiang Gao:
SECT: A Method of Shifted EEG Channel Transformer for Emotion Recognition. IEEE J. Biomed. Health Informatics 27(10): 4758-4767 (2023) - [j21]Zelin Wan, Jin-Hee Cho, Mu Zhu, Ahmed H. Anwar, Charles A. Kamhoua, Munindar P. Singh:
Resisting Multiple Advanced Persistent Threats via Hypergame-Theoretic Defensive Deception. IEEE Trans. Netw. Serv. Manag. 20(3): 3816-3830 (2023) - [j20]Zhuo Cai, Guan Yuan, Xiaobao Zhuang, Senzhang Wang, Shaojie Qiao, Mu Zhu:
Adaptive self-propagation graph convolutional network for recommendation. World Wide Web (WWW) 26(5): 3183-3206 (2023) - [c12]Zelin Wan, Jin-Hee Cho, Mu Zhu, Ahmed H. Anwar, Charles A. Kamhoua, Munindar P. Singh:
Deception in Drone Surveillance Missions: Strategic vs. Learning Approaches. MobiHoc 2023: 382-387 - [i12]Jie Jian, Mu Zhu, Peijun Sang:
Restricted Tweedie Stochastic Block Models. CoRR abs/2310.10952 (2023) - 2022
- [j19]Zelin Wan, Jin-Hee Cho, Mu Zhu, Ahmed H. Anwar, Charles A. Kamhoua, Munindar P. Singh:
Foureye: Defensive Deception Against Advanced Persistent Threats via Hypergame Theory. IEEE Trans. Netw. Serv. Manag. 19(1): 112-129 (2022) - [c11]Ding Lin, Jun Wu, Yamin Liu, Mu Zhu, Chongcheng Chen:
Influence of trees' canopy occupation on pedestrian thermal environment in summer. Geoinformatics 2022: 1-5 - [c10]Ahmed H. Anwar, Mu Zhu, Zelin Wan, Jin-Hee Cho, Charles A. Kamhoua, Munindar P. Singh:
Honeypot-Based Cyber Deception Against Malicious Reconnaissance via Hypergame Theory. GLOBECOM 2022: 3393-3398 - [i11]Marius Hofert, Avinash Prasad, Mu Zhu:
Dependence model assessment and selection with DecoupleNets. CoRR abs/2202.03406 (2022) - 2021
- [j18]Mu Zhu, Ahmed H. Anwar, Zelin Wan, Jin-Hee Cho, Charles A. Kamhoua, Munindar P. Singh:
A Survey of Defensive Deception: Approaches Using Game Theory and Machine Learning. IEEE Commun. Surv. Tutorials 23(4): 2460-2493 (2021) - [j17]Marius Hofert, Avinash Prasad, Mu Zhu:
Quasi-Random Sampling for Multivariate Distributions via Generative Neural Networks. J. Comput. Graph. Stat. 30(3): 647-670 (2021) - [c9]Iffat Anjum, Mu Zhu, Isaac Polinsky, William Enck, Michael K. Reiter, Munindar P. Singh:
Role-Based Deception in Enterprise Networks. CODASPY 2021: 65-76 - [c8]Detian Zeng, Lei Sun, Xin Chen, Yunfei Li, Mu Zhu, Xinxiang Gong:
A Human-Computer Interaction Scheme of Lower-Limb Power-Assist Flexible Robot. RCAR 2021: 1099-1103 - [i10]Zelin Wan, Jin-Hee Cho, Mu Zhu, Ahmed H. Anwar, Charles A. Kamhoua, Munindar P. Singh:
Foureye: Defensive Deception based on Hypergame Theory Against Advanced Persistent Threats. CoRR abs/2101.02863 (2021) - [i9]Mu Zhu, Ahmed H. Anwar, Zelin Wan, Jin-Hee Cho, Charles A. Kamhoua, Munindar P. Singh:
Game-Theoretic and Machine Learning-based Approaches for Defensive Deception: A Survey. CoRR abs/2101.10121 (2021) - [i8]Marius Hofert, Avinash Prasad, Mu Zhu:
RafterNet: Probabilistic predictions in multi-response regression. CoRR abs/2112.03377 (2021) - 2020
- [j16]Mu Zhu, Hui Zhang, Jing Zhang, Li Zhuo:
Multi-level prediction Siamese network for real-time UAV visual tracking. Image Vis. Comput. 103: 104002 (2020) - [c7]Marius Hofert, Avinash Prasad, Mu Zhu:
Applications of Multivariate Quasi-Random Sampling with Neural Networks. MCQMC 2020: 273-289 - [i7]Iffat Anjum, Mohammad Sujan Miah, Mu Zhu, Nazia Sharmin, Christopher Kiekintveld, William Enck, Munindar P. Singh:
Optimizing Vulnerability-Driven Honey Traffic Using Game Theory. CoRR abs/2002.09069 (2020) - [i6]Marius Hofert, Avinash Prasad, Mu Zhu:
Multivariate time-series modeling with generative neural networks. CoRR abs/2002.10645 (2020) - [i5]Iffat Anjum, Mu Zhu, Isaac Polinsky, William Enck, Michael K. Reiter, Munindar P. Singh:
Role-Based Deception in Enterprise Networks. CoRR abs/2008.02979 (2020) - [i4]Marius Hofert, Avinash Prasad, Mu Zhu:
Applications of multivariate quasi-random sampling with neural networks. CoRR abs/2012.08036 (2020)
2010 – 2019
- 2019
- [j15]Hui Zhang, Mu Zhu, Jing Zhang, Li Zhuo:
Long-Term Visual Object Tracking via Continual Learning. IEEE Access 7: 182548-182558 (2019) - [j14]Marius Hofert, Wayne Oldford, Avinash Prasad, Mu Zhu:
A framework for measuring association of random vectors via collapsed random variables. J. Multivar. Anal. 172: 5-27 (2019) - [j13]Chunxia Zhang, Yilei Wu, Mu Zhu:
Pruning variable selection ensembles. Stat. Anal. Data Min. 12(3): 168-184 (2019) - 2018
- [i3]Marius Hofert, Avinash Prasad, Mu Zhu:
Quasi-random number generators for multivariate distributions based on generative neural networks. CoRR abs/1811.00683 (2018) - 2017
- [i2]Chunxia Zhang, Yilei Wu, Mu Zhu:
Pruning variable selection ensembles. CoRR abs/1704.08265 (2017) - 2016
- [j12]Mu Zhu, Jizhen Liu, Zhongwei Lin, Hongmin Meng:
Mixed H2/H∞ pitch control of wind turbine generator system based on global exact linearization and regional pole placement. Int. J. Mach. Learn. Cybern. 7(5): 921-930 (2016) - 2015
- [j11]Laleh Soltan Ghoraie, Forbes J. Burkowski, Mu Zhu:
Using kernelized partial canonical correlation analysis to study directly coupled side chains and allostery in small G proteins. Bioinform. 31(12): 124-132 (2015) - [j10]Lu Cheng, Mu Zhu, Jeffrey W. Poss, John P. Hirdes, Christine Glenny, Paul Stolee:
Opinion versus practice regarding the use of rehabilitation services in home care: an investigation using machine learning algorithms. BMC Medical Informatics Decis. Mak. 15: 80 (2015) - [c6]Wanhua Su, Yan Yuan, Mu Zhu:
A Relationship between the Average Precision and the Area Under the ROC Curve. ICTIR 2015: 349-352 - 2014
- [j9]Ashley P. Thrall, Mu Zhu, James K. Guest, Ignacio Paya-Zaforteza, Sigrid Adriaenssens:
Structural Optimization of Deploying Structures Composed of Linkages. J. Comput. Civ. Eng. 28(3) (2014) - [j8]Laleh Soltan Ghoraie, Forbes J. Burkowski, Shuai Cheng Li, Mu Zhu:
Residue-Specific Side-Chain Polymorphismsvia Particle Belief Propagation. IEEE ACM Trans. Comput. Biol. Bioinform. 11(1): 33-41 (2014) - [p1]Mu Zhu, Lu Cheng, Joshua J. Armstrong, Jeffrey W. Poss, John P. Hirdes, Paul Stolee:
Using Machine Learning to Plan Rehabilitation for Home Care Clients: Beyond "Black-Box" Predictions. Machine Learning in Healthcare Informatics 2014: 181-207 - 2013
- [j7]Jennifer Nguyen, Mu Zhu:
Content-boosted matrix factorization techniques for recommender systems. Stat. Anal. Data Min. 6(4): 286-301 (2013) - 2012
- [i1]Jennifer Nguyen, Mu Zhu:
Content-boosted Matrix Factorization Techniques for Recommender Systems. CoRR abs/1210.5631 (2012) - 2011
- [c5]Peter Forbes, Mu Zhu:
Content-boosted matrix factorization for recommender systems: experiments with recipe recommendation. RecSys 2011: 261-264 - 2010
- [c4]Yinsheng Li, Mu Zhu, Han Chen, Kuo-Ming Chao:
A service-oriented travel portal with semantic package recommender. CSCWD 2010: 384-389 - [c3]Yinsheng Li, Han Chen, Mu Zhu, Jen-Yao Chung:
Evaluating a Service-Oriented Travel Portal. SOSE 2010: 229-235
2000 – 2009
- 2009
- [c2]Yinsheng Li, Haifeng Xie, Mu Zhu, Bing Dong, Kuo-Ming Chao:
A collaborative travel service portal with multi-level authentication. CSCWD 2009: 356-361 - [c1]Yinsheng Li, Fangyuan Kang, Weiming Shen, Mu Zhu:
An XML-based Data Interchange Protocol and Supporting Systems for Online Customs Declaration. SMC 2009: 3994-3999 - 2008
- [j6]Alexandra Laflamme-Sanders, Mu Zhu:
LAGO on the unit sphere. Neural Networks 21(9): 1220-1223 (2008) - 2007
- [j5]Mu Zhu, Zhanyang Zhang, John P. Hirdes, Paul Stolee:
Using machine learning algorithms to guide rehabilitation planning for home care clients. BMC Medical Informatics Decis. Mak. 7: 41 (2007) - 2006
- [j4]Rafal Kustra, Romy Shioda, Mu Zhu:
A factor analysis model for functional genomics. BMC Bioinform. 7: 216 (2006) - [j3]Mu Zhu, Ali Ghodsi:
Automatic dimensionality selection from the scree plot via the use of profile likelihood. Comput. Stat. Data Anal. 51(2): 918-930 (2006) - [j2]Mu Zhu, Wanhua Su, Hugh A. Chipman:
LAGO: A Computationally Efficient Approach for Statistical Detection. Technometrics 48(2): 193-205 (2006) - [j1]Mu Zhu, Hugh A. Chipman:
Darwinian Evolution in Parallel Universes: A Parallel Genetic Algorithm for Variable Selection. Technometrics 48(4): 491-502 (2006)
Coauthor Index
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last updated on 2024-09-21 23:42 CEST by the dblp team
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