Wang Zhou

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
Multimodal Ultrasound Radiomic Technology for Diagnosing Benign and Malignant Thyroid Nodules of Ti-Rads 4-5: A Multicenter Study.
Sensors, October, 2024

Regression-enhanced Entrotaxis as an autonomous search algorithm for seeking an unknown gas leakage source.
Expert Syst. Appl., 2024

Knowledge Transfer across Multiple Principal Component Analysis Studies.
CoRR, 2024

A Coarse and Fine Grained Masking Approach for Video-Grounded Dialogue.
Proceedings of the MultiMedia Modeling - 30th International Conference, 2024

Enhancing Cross-Modal Understanding for Audio Visual Scene-Aware Dialog Through Contrastive Learning.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

CTF-ERC: Coarse-to-Fine Reasoning for Emotion Recognition in Conversations.
Proceedings of the International Joint Conference on Neural Networks, 2024

D-Man: a Distance-based Multi-channel Attention Network for ERC.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
Excess Emission Sources Identification via Sparse Monitoring Networks.
IEEE Trans. Ind. Informatics, October, 2023

Deep hashing via multi-scale and multi-directional pooling for image retrieval.
Int. J. Mach. Learn. Cybern., September, 2023

General Jackknife empirical likelihood and its applications.
Stat. Comput., June, 2023

Object-based Appearance-Motion Heterogeneous Network for Video Question Answering.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

2022
Statistical inference in massive datasets by empirical likelihood.
Comput. Stat., 2022

Referral strategies and capacity decisions in a tiered hospital system with gatekeeping designs - Exemplified with Chinese healthcare system.
Comput. Ind. Eng., 2022

High-performance Distributed Feature Storage and Consumption Services in Power Grid Scenarios.
Proceedings of the 8th IEEE Intl Conference on Big Data Security on Cloud, 2022

An Adversarial Framework for Generating Unseen Images by Activation Maximization.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Testing multivariate quantile by empirical likelihood.
J. Multivar. Anal., 2021

Quantification of Carbon Sequestration in Urban Forests.
CoRR, 2021

Efficient Online Service Based on Go-Tensorflow in the Middle-Station Scenario of Grid Service.
Proceedings of the Smart Computing and Communication - 6th International Conference, 2021

QBT: Efficient and Flexible Resource Allocation Method for Data Center of State Grid Scenario.
Proceedings of the Knowledge Science, Engineering and Management, 2021

Kubeflow-based Automatic Data Processing Service for Data Center of State Grid Scenario.
Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

2020
High-dimensional two-sample mean vectors test and support recovery with factor adjustment.
Comput. Stat. Data Anal., 2020

PAIRS AutoGeo: an Automated Machine Learning Framework for Massive Geospatial Data.
CoRR, 2020

Physics-Informed Neural Network Super Resolution for Advection-Diffusion Models.
CoRR, 2020

Monitoring the Impact of Wildfires on Tree Species with Deep Learning.
CoRR, 2020

Lifelong Object Detection.
CoRR, 2020

Decision Making in Synthesis cross Technologies using LSTMs and Transfer Learning.
Proceedings of the MLCAD '20: 2020 ACM/IEEE Workshop on Machine Learning for CAD, 2020

PAIRS AutoGeo: an Automated Machine Learning Framework for Massive Geospatial Data.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Central Limit Theorem for Mutual Information of Large MIMO Systems With Elliptically Correlated Channels.
IEEE Trans. Inf. Theory, 2019

Feature Fusion and Adversary Occlusion Networks for Object Detection.
IEEE Access, 2019

N-dimensional geospatial data and analytics for critical infrastructure risk assessment.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Performance Estimation of Synthesis Flows cross Technologies using LSTMs and Transfer Learning.
CoRR, 2018

2017
SURE estimates under dependence and heteroscedasticity.
J. Multivar. Anal., 2017

Image categorization with resource constraints: introduction, challenges and advances.
Frontiers Comput. Sci., 2017

The correlation analysis and prediction between mobile phone users complaints and telecom equipment failures under big data environments.
Proceedings of the 2nd International Conference on Advanced Robotics and Mechatronics, 2017

2015
Asymptotic Mutual Information Statistics of MIMO Channels and CLT of Sample Covariance Matrices.
IEEE Trans. Inf. Theory, 2015

A test for equality of two distributions via jackknife empirical likelihood and characteristic functions.
Comput. Stat. Data Anal., 2015

A testing platform for on-drone computation.
Proceedings of the 33rd IEEE International Conference on Computer Design, 2015

2010
Circular law, extreme singular values and potential theory.
J. Multivar. Anal., 2010


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