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Kennard-Stone Balance Algorithm for Time-series Big Data Stream Mining Conference paper
IEEE International Conference on Data Mining Workshops, ICDMW, Sorrento, Italy, 17-20 Nov. 2020
Authors:  Tengyue Li;  Simon Fong;  Yaoyang Wu;  Antonio J. Tallón-Ballesteros
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Vectorization and distributed parallelization of Bayesian model updating based on a multivariate complex-valued probabilistic model of frequency response functions Journal article
Mechanical Systems and Signal Processing, 2021,Volume: 156
Authors:  Wang-Ji Yan;  Shi-Ze Cao;  Wei-Xin Ren;  Ka-Veng Yuen;  Dan Li;  Lambros Katafygiotis
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Bayesian Theory  Frequency Response Function  Model Updating  Structural Health Monitoring  Vectorization Computation  Distributed Parallel Computing  
A 7-bit 2 GS/s Time-Interleaved SAR ADC with Timing Skew Calibration Based on Current Integrating Sampler Journal article
IEEE Transactions on Circuits and Systems I: Regular Papers, 2021,Volume: 68,Issue: 2,Page: 557-568
Authors:  Jiang,Wenning;  Zhu,Yan;  Chan,Chi Hang;  Murmann,Boris;  Martins,Rui Paulo
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Analog-to-digital converter  background timing skew calibration  current integrating sampler  SAR ADC  time-interleaved ADC  timing skew  
GraphLSHC: Towards large scale spectral hypergraph clustering Journal article
Information Sciences, 2021,Volume: 544,Page: 117-134
Authors:  Yiyang Yang;  Sucheng Deng;  Juan Lu;  Yuhong Li;  Zhiguo Gong;  Leong Hou U;  Zhifeng Hao
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Clustering  Hypergraph  Machine Learning  Unsupervised Learning  
Dynamic swarm class rebalancing for the process mining of rare events Journal article
The Journal of Supercomputing, 2021,Volume: 77,Page: 7549-7583
Authors:  Jinyan Li;  Yaoyang Wu;  Simon Fong;  Raymond K. Wong;  Victor W. Chu;  Kok‑leong Ong;  Kelvin K. L. Wong
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Process Mining  Class Imbalance  Classification  Meta-heuristic  Over-sampling  Under-sampling  
Sampling sparse representations with randomized measurement langevin dynamics Journal article
ACM Transactions on Knowledge Discovery from Data, 2021,Volume: 15,Issue: 2
Authors:  Wang,Kafeng;  Xiong,Haoyi;  Bian,Jiang;  Zhu,Zhanxing;  Gao,Qian;  Guo,Zhishan;  Xu,Cheng Zhong;  Huan,Jun;  Dou,Dejing
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Compressive sensing  Hamiltonian Monte Carlo  LASSO  
HNS: Hierarchical negative sampling for network representation learning Journal article
Information Sciences, 2021,Volume: 542,Page: 343-356
Authors:  Junyang Chen;  Zhiguo Gong;  Wei Wang;  Weiwen Liu
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Hierarchical Negative Sampling  Network Embeddings  Network Representation Learning  
Demand response for industrial micro-grid considering photovoltaic power uncertainty and battery operational cost Journal article
IEEE Transactions on Smart Grid, 2021
Authors:  Huang,Chao;  Zhang,Hongcai;  Song,Yonghua;  Wang,Long;  Ahmad,Tanveer;  Luo,Xiong
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Demand response  Forecasting  industrial micro-grid  Manufacturing  mixed integer nonlinear programming.  multi-energy  Optimization  Optimization methods  Probabilistic logic  Production  Uncertainty  
SenseMag: Enabling Low-Cost Traffic Monitoring using Non-invasive Magnetic Sensing Journal article
IEEE Internet of Things Journal, 2021
Authors:  Wang,Kafeng;  Xiong,Haoyi;  Zhang,Jie;  Chen,Hongyang;  Dou,Dejing;  Xu,Cheng Zhong
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Internet of Vehicles (IoV).  Magnetic domains  Magnetic Sensing  Magnetic sensors  Monitoring  Perpendicular magnetic anisotropy  Roads  Sensors  Time-frequency analysis  Traffic Monitoring  Vehicle Type Classification  
A matrix sampling approach for efficient SimRank computation Journal article
Information Sciences, 2020,Volume: 556,Page: 1-26
Authors:  Juan Lu;  Zhiguo Gong;  Yiyang Yang
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Matrix Sampling  Simrank  Steepest Descent