Jing Zhou
Orcid: 0000-0002-1099-7612Affiliations:
- Renmin University of China, School of Statistics, Center for Applied Statistics, Beijing, China
- Peking University, Guanghua School of Management, Beijing, China (PhD 2016)
According to our database1,
Jing Zhou authored at least 20 papers
between 2019 and 2025.
Collaborative distances:
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Bibliography
2025
Class-Distributed Learning for Multinomial Logistic Regression with High Dimensional Features and a Large Number of Classes.
J. Comput. Graph. Stat., 2025
High Resolution Image Classification with Rich Text Information Based on Graph Convolution Neural Network.
Proceedings of the Data Science: Foundations and Applications, 2025
DSANet: 3D Deformable Slice-Aware Network with Adaptive Slice Grouping for Robust Pulmonary Nodule Detection.
Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
CALM: A Copula-Augmented Lightweight Deep Learning Model for Robust Pulmonary Function Assessment from CT Imaging.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
DialogMedTab: A Dual-Modality Benchmark Dataset with Cross-Decoder Transformer (CDT) for Sentiment Analysis in Doctor-Patient Dialogues.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
2024
A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques.
CoRR, 2024
RFDFM: A Deep Factorization Machine Network Model for Invasive Lung Adenocarcinoma Screening in CT Images.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
2023
An ensemble deep learning model for risk stratification of invasive lung adenocarcinoma using thin-slice CT.
npj Digit. Medicine, 2023
Adaptive Fusion of Radiomics and Deep Features for Lung Adenocarcinoma Subtype Recognition.
CoRR, 2023
Automatic Discovery of Controversial Legal Judgments by an Entropy-Based Measurement (S).
Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering, 2023
Compressing the Embedding Matrix by a Dictionary Screening Approach in Text Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023
Supervised Domain Adaptation for Recognizing Retinal Diseases from Wide-Field Fundus Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
High-risk Factor Prediction in Lung Cancer Using Thin CT Scans: An Attention-Enhanced Graph Convolutional Network Approach.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Comput. Stat. Data Anal., 2022
2021
Progressive principle component analysis for compressing deep convolutional neural networks.
Neurocomputing, 2021
2019
The magic of <i>danmaku</i>: A social interaction perspective of gift sending on live streaming platforms.
Electron. Commer. Res. Appl., 2019