Xingjian Zhang

According to our database1, Xingjian Zhang authored at least 49 papers between 2008 and 2022.

Collaborative distances:



In proceedings 
PhD thesis 




Continuous Seizure Detection Based on Transformer and Long-Term iEEG.
IEEE J. Biomed. Health Informatics, 2022

Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers.
CoRR, 2022

Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation Modeling.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

A Novel RVFL-Based Algorithm Selection Approach for Software Model Checking.
Proceedings of the Knowledge Science, Engineering and Management, 2022

BLSHF: Broad Learning System with Hybrid Features.
Proceedings of the Knowledge Science, Engineering and Management, 2022

OAG-BERT: Towards a Unified Backbone Language Model for Academic Knowledge Services.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Modeling Composition of Cloud Services with Complex Dependencies for Availability Assessment.
Proceedings of the 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2022

Deep Learning-Based Spectrum Sensing in Space-Air-Ground Integrated Networks.
J. Commun. Inf. Networks, 2021

OAG-BERT: Pre-train Heterogeneous Entity-augmented Academic Language Models.
CoRR, 2021

Seeds of SEED: H<sup>2</sup>Cache: Building a Hybrid Randomized Cache Hierarchy for Mitigating Cache Side-Channel Attacks.
Proceedings of the 2021 International Symposium on Secure and Private Execution Environment Design (SEED), 2021

The impact of international crude oil prices on the international coal prices: A research based on Quantile Regression Model.
Proceedings of the ICCIR 2021: International Conference on Control and Intelligent Robotics, 2021

Interpretable Exact Linear Reductions via Positivity.
Proceedings of the Computational Methods in Systems Biology, 2021

Automated Detection of Juvenile Myoclonic Epilepsy using CNN based Transfer Learning in Diffusion MRI.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Deepfake Detection through Deep Learning.
Proceedings of the 7th IEEE/ACM International Conference on Big Data Computing, 2020

Low-Complexity Subspace-Aided Compressive Spectrum Sensing Over Wideband Whitespace.
IEEE Trans. Veh. Technol., 2019

Compressive spectrum sensing in cognitive IoT.
PhD thesis, 2018

Low-Complexity Compressive Spectrum Sensing for Large-Scale Real-Time Processing.
IEEE Wirel. Commun. Lett., 2018

Channel Energy Statistics Learning in Compressive Spectrum Sensing.
IEEE Trans. Wirel. Commun., 2018

Autonomous Compressive-Sensing-Augmented Spectrum Sensing.
IEEE Trans. Veh. Technol., 2018

Real-Time Adaptively Regularized Compressive Sensing in Cognitive Radio Networks.
IEEE Trans. Veh. Technol., 2018

Joint Sub-Nyquist Spectrum Sensing Scheme With Geolocation Database Over TV White Space.
IEEE Trans. Veh. Technol., 2018

Distributed Compressive Sensing Augmented Wideband Spectrum Sharing for Cognitive IoT.
IEEE Internet Things J., 2018

A Comparative Analysis of SVM, Naive Bayes and GBDT for Data Faults Detection in WSNs.
Proceedings of the 2018 IEEE International Conference on Software Quality, 2018

Automatic Diagnosis of Thyroid Ultrasound Image Based on FCN-AlexNet and Transfer Learning.
Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018

Channel Energy Statistics Modeling and Threshold Adaption in Compressive Spectrum Sensing.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2018

Effect of Fatigue and Nervousness of Tower Controller on the Control Efficiency.
Proceedings of the Engineering Psychology and Cognitive Ergonomics, 2018

Subspace-Aided Low-Complexity Blind Compressive Spectrum Sensing over TV Whitespace.
Proceedings of the IEEE Global Communications Conference, 2018

A Large-Scale Image Retrieval Method Based on Image Elimination Technology and Supervised Kernel Hash.
Proceedings of the Advanced Hybrid Information Processing, 2018

Dynamic Adaptive Video Streaming on Heterogeneous TVWS and Wi-Fi Networks.
IEEE/ACM Trans. Netw., 2017

RealSense: Real-time compressive spectrum sensing testbed over TV white space.
Proceedings of the 18th IEEE International Symposium on A World of Wireless, 2017

Hybrid Sub-Nyquist Spectrum Sensing with Geo-Location Database in M2M Communications.
Proceedings of the 86th IEEE Vehicular Technology Conference, 2017

Blind cooperating user selection for compressive spectrum sensing in cognitive radio networks.
Proceedings of the 2017 IEEE/CIC International Conference on Communications in China, 2017

An efficient joint sub-Nyquist spectrum sensing scheme with geolocation database over TV white space.
Proceedings of the IEEE International Conference on Communications, 2017

Controller Intervention Degree Evaluation of Intersection in Terminal Airspace.
Proceedings of the Engineering Psychology and Cognitive Ergonomics: Performance, Emotion and Situation Awareness, 2017

Blind Compressive Spectrum Sensing in Cognitive Internet of Things.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

TV White Space Network Provisioning with Directional and Omni-Directional Terminal Antennas.
Proceedings of the IEEE 84th Vehicular Technology Conference, 2016

Sub-Nyquist cooperative wideband spectrum sensing based on multicoset sampling for TV white spaces.
Proceedings of the 2016 IEEE/CIC International Conference on Communications in China, 2016

Adaptively Regularized Compressive Spectrum Sensing from Real-Time Signals to Real-Time Processing.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

Autonomous compressive spectrum sensing approach for 3.5 GHz shared spectrum.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Exploring Linked Data with contextual tag clouds.
J. Web Semant., 2014

Dynamic adjustment of sparsity upper bound in wideband compressive spectrum sensing.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Using Instance Texts to Improve Keyword-Based Class Retrieval.
Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence, 2013

Infrastructure for Efficient Exploration of Large Scale Linked Data via Contextual Tag Clouds.
Proceedings of the Semantic Web - ISWC 2013, 2013

Exploring Linked Open Data with Tag Clouds.
Proceedings of the ISWC 2013 Posters & Demonstrations Track, 2013

Identifying Method of Drunk Driving Based on Driving Behavior.
Int. J. Comput. Intell. Syst., 2011

Using Tag Clouds to Quickly Discover Patterns in Linked Data Sets.
Proceedings of the Second International Workshop on Consuming Linked Data (COLD2011), 2011

Learning to detect abnormal semantic web data.
Proceedings of the 6th International Conference on Knowledge Capture (K-CAP 2011), 2011

Calculating Word Sense Probability Distributions for Semantic Web Applications.
Proceedings of the 4th IEEE International Conference on Semantic Computing (ICSC 2010), 2010

DLDB2: A Scalable Multi-perspective Semantic Web Repository.
Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008