Xiangfang Li
According to our database1,
Xiangfang Li
authored at least 62 papers
between 1999 and 2024.
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Bibliography
2024
Deep Knowledge Tracing for Personalized Adaptive Learning at Historically Black Colleges and Universities.
CoRR, 2024
Enhancing Deep Knowledge Tracing via Diffusion Models for Personalized Adaptive Learning.
CoRR, 2024
Robust Inverse Quantum Fourier Transform Inspired Algorithm for Unsupervised Image Segmentation.
IEEE Access, 2024
Unsupervised Ensemble Semantic Segmentation for Foreground-Background Separation on Satellite Image.
Proceedings of the 18th IEEE International Conference on Semantic Computing, 2024
2023
Semi-Supervised Deep Learning for Cell Type Identification From Single-Cell Transcriptomic Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Inverse Quantum Fourier Transform Inspired Algorithm for Unsupervised Image Segmentation.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023
2022
Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image.
CoRR, 2022
2021
Computation Offloading in Multi-Access Edge Computing: A Multi-Task Learning Approach.
IEEE Trans. Mob. Comput., 2021
EAI Endorsed Trans. Security Safety, 2021
2020
Lessons Learned From Accident of Autonomous Vehicle Testing: An Edge Learning-Aided Offloading Framework.
IEEE Wirel. Commun. Lett., 2020
Mobile-Edge-Computing-Based Hierarchical Machine Learning Tasks Distribution for IIoT.
IEEE Internet Things J., 2020
Cell Type Identification from Single-Cell Transcriptomic Data via Semi-supervised Learning.
CoRR, 2020
Neural network-based non-linear adaptive controller design for a class of bilinear system.
Cogn. Comput. Syst., 2020
IEEE Access, 2020
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020
2019
Joint Communication and Computing Optimization for Hierarchical Machine Learning Tasks Distribution.
Proceedings of the 2019 IEEE Symposium on Computers and Communications, 2019
Proceedings of the 2nd International Conference on Data Intelligence and Security, 2019
Computation Offloading in Multi-Access Edge Computing Networks: A Multi-Task Learning Approach.
Proceedings of the 2019 IEEE International Conference on Communications, 2019
Proceedings of the Fourth International Conference on Fog and Mobile Edge Computing, 2019
Recurrent Neural Network Based Feature Selection for High Dimensional and Low Sample Size Micro-array Data.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
Sequential Therapeutic Response Modeling for Tumor Treatment Using Computational Hybrid Control Systems Approach.
IEEE Trans. Biomed. Eng., 2018
Big uncertain data of multiple sensors efficient processing with high order multi-hypothesis: an evidence theoretic approach.
Int. J. Big Data Intell., 2018
A multitask bi-directional RNN model for named entity recognition on Chinese electronic medical records.
BMC Bioinform., 2018
Neural Network Optimized Controller for Motion and Position Control in Autonomous Systems.
Proceedings of the 14th IEEE International Conference on Control and Automation, 2018
Efficient Computing of Dempster-Shafer Theoretic Conditionals for Big Hard/Soft Data Fusion.
Proceedings of the 21st International Conference on Information Fusion, 2018
2017
Review of stochastic hybrid systems with applications in biological systems modeling and analysis.
EURASIP J. Bioinform. Syst. Biol., 2017
Multisensor change detection on the basis of big time-series data and Dempster-Shafer theory.
Concurr. Comput. Pract. Exp., 2017
The flow and heat transfer characteristics of superheated steam in offshore wells and analysis of superheated steam performance.
Comput. Chem. Eng., 2017
Closed loop control of blood glucose level with neural network predictor for diabetic patients.
Proceedings of the 19th IEEE International Conference on e-Health Networking, 2017
2016
Distributed spectrum monitoring and surveillance using a cognitive radio based testbed.
Proceedings of the 37th IEEE Sarnoff Symposium 2016, Newark, NJ, USA, 2016
Efficient Processing of Uncertain Data Using Dezert-Smarandache Theory: A Case Study.
Proceedings of the 2016 IEEE 14th Intl Conf on Dependable, 2016
Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016
2015
Prediction of the productivity of steam flooding production wells using Gray Relation Analysis and Support Vector Machine.
J. Comput. Methods Sci. Eng., 2015
Community based sensing: A test bed for environment air quality monitoring using smartphone paired sensors.
Proceedings of the 36th IEEE Sarnoff Symposium 2015, Newark, NJ, USA, 2015
2014
Proceedings of the IEEE International Conference on Communications, 2014
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014
Proceedings of the 11th IEEE Consumer Communications and Networking Conference, 2014
2013
Anomaly Spectrum Usage Detection in Multihop Cognitive Radio Networks: A Cross-Layer Approach.
J. Commun., 2013
Proceedings of the International Conference on Computing, Networking and Communications, 2013
Robust identification of molecularly targeted drug effect coefficient using H∞ filter.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013
Drug effect study on proliferation and survival pathways on cell line-based platform: A stochastic hybrid systems approach.
Proceedings of the 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, 2013
Mitigating Uplink interference in femtocell networks with Physical Layer Network coding.
Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2013
2012
EURASIP J. Bioinform. Syst. Biol., 2012
Proceedings of the IEEE International Conference on Advanced Networks and Telecommuncations Systems, 2012
2011
IEEE Trans. Biomed. Eng., 2011
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011
2010
Modeling treatment and drug effects at the molecular level using hybrid system theory.
Proceedings of the 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2010
2009
Proceedings of the 43rd Annual Conference on Information Sciences and Systems, 2009
2007
Detection of wormhole attacks in multi-path routed wireless ad hoc networks: A statistical analysis approach.
J. Netw. Comput. Appl., 2007
Proceedings of the 15th IEEE Workshop on Local & Metropolitan Area Networks, 2007
2006
Power control and scheduling with minimum rate constraints in clustered multihop TD/CDMA wireless ad hoc networks.
Wirel. Commun. Mob. Comput., 2006
Power control and proportional fair scheduling with minimum rate constraints in clustered multihop TD/CDMA wireless ad hoc networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2006
Joint power control and maximally disjoint routing for reliable data delivery in multihop CDMA wireless ad hoc networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2006
Joint Power Control and Proportional Fair Scheduling with Minimum Rate Constraints in Cluster Based MANET.
Proceedings of the Mobile Ad-hoc and Sensor Networks, Second International Conference, 2006
Proceedings of the 40th Annual Conference on Information Sciences and Systems, 2006
2005
Detecting and locating wormhole attacks in wireless ad hoc networks through statistical analysis of multi-path.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2005
Wormhole Attacks Detection in Wireless Ad Hoc Networks: A Statistical Analysis Approach.
Proceedings of the 19th International Parallel and Distributed Processing Symposium (IPDPS 2005), 2005
2002
Centralized Power Control in Coordinated CDMA Systems using Krylov Subspace Iterations.
Proceedings of the IASTED International Conference on Communications, 2002
1999