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Using learners’ problem-solving processes in computer-based assessments for enhanced learner modeling: A deep learning approach Journal article
Chen Fu, Lu Chang, Cui Ying. Using learners’ problem-solving processes in computer-based assessments for enhanced learner modeling: A deep learning approach[J]. Education and Information Technologies, 2024, 29, 13713-13733.
Authors:  Chen Fu;  Lu Chang;  Cui Ying
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.8/4.8 | Submit date：2024/01/02
Learner Modeling  Collaborative Fltering  Deep Learning  Process Data  Attentive Modeling  Computer-based Assessment  
A Cloud-Edge Collaboration Framework for Generating Process Digital Twin Journal article
Shen, Bingqing, Yu, Han, Hu, Pan, Cai, Hongming, Guo, Jingzhi, Xu, Boyi, Jiang, Lihong. A Cloud-Edge Collaboration Framework for Generating Process Digital Twin[J]. IEEE Transactions on Cloud Computing, 2024, 12(2), 388-404.
Authors:  Shen, Bingqing;  Yu, Han;  Hu, Pan;  Cai, Hongming;  Guo, Jingzhi; et al.
Favorite | TC[WOS]:0 TC[Scopus]:2  IF:5.3/4.6 | Submit date：2024/05/16
Cloud Computing  Cloud-edge Collaboration  Collaboration  Data Models  Digital Twins  Drilling  Industrial Internet Of Things  Industrial Process  Monitoring  Real-virtual Fusion  Remote Supervision  Task Analysis  
Cloud Configuration Optimization for Recurring Batch-Processing Applications Journal article
Liu, Yang, Xu, Huanle, Lau, Wing Cheong. Cloud Configuration Optimization for Recurring Batch-Processing Applications[J]. IEEE Transactions on Parallel and Distributed Systems, 2023, 34(5), 1495-1507.
Authors:  Liu, Yang;  Xu, Huanle;  Lau, Wing Cheong
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:5.6/4.5 | Submit date：2023/06/05
Big Data Analytics  Cloud Configuration  Gaussian-process Ucb  Kubernetes  
Multi-Label Feature Selection via Label Enhancement and Analytic Hierarchy Process Journal article
Jintao Huang, Wenbin Qian, Chi Man Vong, Weiping Ding, Wenhao Shu, Qin Huang. Multi-Label Feature Selection via Label Enhancement and Analytic Hierarchy Process[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2023, 7(5), 1377 - 1393.
Authors:  Jintao Huang;  Wenbin Qian;  Chi Man Vong;  Weiping Ding;  Wenhao Shu; et al.
Favorite | TC[WOS]:9 TC[Scopus]:11  IF:5.3/5.7 | Submit date：2023/08/03
Feature Selection  Label Enhancement  Multi-label Data  Analytic Hierarchy Process  Label Correlation  
A TM-Based Adaptive Learning Data-Model for Trajectory Tracking and Real-Time Control of a Class of Nonlinear Systems Journal article
Li, Junkang, Fang, Yong, Zhang, Liming. A TM-Based Adaptive Learning Data-Model for Trajectory Tracking and Real-Time Control of a Class of Nonlinear Systems[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2021, 69(2), 859-871.
Authors:  Li, Junkang;  Fang, Yong;  Zhang, Liming
Favorite | TC[WOS]:4 TC[Scopus]:3  IF:5.2/4.5 | Submit date：2022/03/04
Adaptation Models  Data Models  Frequency-domain Analysis  Mathematical Models  Nonlinear Systems  Process Control  Real-time Systems  
Modeling high-frequency financial data by pure jump processes Journal article
Jing B.-Y., Kong X.-B., Liu Z.. Modeling high-frequency financial data by pure jump processes[J]. Annals of Statistics, 2012, 40(2), 759-784.
Authors:  Jing B.-Y.;  Kong X.-B.;  Liu Z.
Favorite | TC[WOS]:49 TC[Scopus]:56 | Submit date：2019/02/14
Diffusion  High-frequency Data  Hypothesis Testing  Pure Jump Process  Semi-martingales  
Modeling high frequency financial data by pure jump processes Journal article
Jing, B.Y., Kong, X.B., Liu, Z.. Modeling high frequency financial data by pure jump processes[J]. Annals of Statistics, 2012, 759-784.
Authors:  Jing, B.Y.;  Kong, X.B.;  Liu, Z.
Favorite | TC[WOS]:49 TC[Scopus]:56  IF:3.2/4.8 | Submit date：2022/07/27
Diffusion  Pure Jump Process  Semi-martingales  High-frequency Data  Hypothesis Testing