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ORCIDJing Zhou 0005
Person information
- affiliation: Renmin University of China, School of Statistics, Center for Applied Statistics, Beijing, China
- affiliation (PhD 2016): Peking University, Guanghua School of Management, Beijing, China
Other persons with the same name
- Jing Zhou — disambiguation page
- Jing Zhou 0001
![[0000-0002-6299-5600]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-6299-5600")
— University of Science and Technology of China, CAS Key Laboratory of Wireless-Optical Communications, Hefei (and 1 more) - Jing Zhou 0002 — University of Agder, Department of Engineering Sciences, Grimstad, Norway (and 1 more)
- Jing Zhou 0003 — University of Technology Sydney, Australia
- Jing Zhou 0004 — Communication University of China, School of Computer and Cyber Sciences, Beijing, China (and 2 more)
- Jing Zhou 0006 — National University of Defense Technology, College of Intelligence Science and Technology, Changsha, China (and 1 more)
- Jing Zhou 0007 — City University of Hong Kong, Department of Biomedical Engineering, Hong, Kong (and 2 more)
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2020 – today
- 2025
[j6]Shuyuan Wu, Jing Zhou, Ke Xu, Hansheng Wang:
Class-Distributed Learning for Multinomial Logistic Regression with High Dimensional Features and a Large Number of Classes. J. Comput. Graph. Stat. 34(1): 175-186 (2025)- [c11]Shuying Zhang, Jing Zhou, Ying Ji:
MAG-Net: A Multi-Task Deep Learning Framework for Thymic Tumor Diagnosis. BIBM 2025: 1450-1457 - [c10]Xiaotong Fu, Jing Zhou, Shuying Zhang, Ying Ji:
Confidence-Enhanced Semi-Supervised Learning for Mediastinal Neoplasm Segmentation. BIBM 2025: 3573-3578 - [c9]Guanjing Liu, Jing Zhou, Jing Liu:
DialogMedTab: A Dual-Modality Benchmark Dataset with Cross-Decoder Transformer (CDT) for Sentiment Analysis in Doctor-Patient Dialogues. BIBM 2025: 3852-3857 - [c8]Xiangyu Meng, Hang Yu, Jing Zhou, Bo Fu, Ying Ji:
CALM: A Copula-Augmented Lightweight Deep Learning Model for Robust Pulmonary Function Assessment from CT Imaging. BIBM 2025: 5680-5687 - [c7]Zhongyang Che, Jing Zhou, Zhi Tu, Ying Ji:
DSANet: 3D Deformable Slice-Aware Network with Adaptive Slice Grouping for Robust Pulmonary Nodule Detection. ECAI 2025: 2187-2194 - [c6]Siyi Han, Jing Zhou, Xuening Zhu, Zhe Li, Jie Li, Hansheng Wang, Yibing Gong:
High Resolution Image Classification with Rich Text Information Based on Graph Convolution Neural Network. PAKDD (7) 2025: 41-52 - 2024
- [j5]Xuetong Li, Jing Zhou, Hansheng Wang:
Gaussian Mixture Models with Rare Events. J. Mach. Learn. Res. 25: 252:1-252:40 (2024) - [c5]Jing Zhou, Chengcheng Guo, Ying Ji:
RFDFM: A Deep Factorization Machine Network Model for Invasive Lung Adenocarcinoma Screening in CT Images. ECAI 2024: 338-345 - [i4]Xuetong Li, Yuan Gao, Hong Chang, Danyang Huang, Yingying Ma, Rui Pan, Haobo Qi, Feifei Wang, Shuyuan Wu, Ke Xu, Jing Zhou, Xuening Zhu, Yingqiu Zhu, Hansheng Wang:
A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques. CoRR abs/2403.11163 (2024) - 2023
- [j4]Jing Zhou, Bin Hu, Wei Feng, Zhang Zhang, Xiaotong Fu, Handie Shao, Hansheng Wang, Longyu Jin, Siyuan Ai, Ying Ji:
An ensemble deep learning model for risk stratification of invasive lung adenocarcinoma using thin-slice CT. npj Digit. Medicine 6 (2023) - [c4]Xiaotong Fu, Xiangyu Meng, Jing Zhou, Ying Ji:
High-risk Factor Prediction in Lung Cancer Using Thin CT Scans: An Attention-Enhanced Graph Convolutional Network Approach. BIBM 2023: 1905-1910 - [c3]Qijie Wei, Jingyuan Yang, Bo Wang, Jinrui Wang, Jianchun Zhao, Xinyu Zhao, Sheng Yang, Niranchana Manivannan, Youxin Chen, Dayong Ding, Jing Zhou, Xirong Li:
Supervised Domain Adaptation for Recognizing Retinal Diseases from Wide-Field Fundus Images. BIBM 2023: 2298-2303 - [c2]Jing Zhou, Xinru Jing, Muyu Liu, Hansheng Wang:
Compressing the Embedding Matrix by a Dictionary Screening Approach in Text Classification. PAKDD (1) 2023: 457-468 - [c1]Jing Zhou, Shan Leng, Fang Wang, Hansheng Wang:
Automatic Discovery of Controversial Legal Judgments by an Entropy-Based Measurement (S). SEKE 2023: 82-85 - [i3]Jing Zhou, Xiaotong Fu, Xirong Li, Wei Feng, Zhang Zhang, Ying Ji:
Adaptive Fusion of Radiomics and Deep Features for Lung Adenocarcinoma Subtype Recognition. CoRR abs/2308.13997 (2023) - [i2]Xiaotong Fu, Xiangyu Meng, Jing Zhou, Ying Ji:
High-risk Factor Prediction in Lung Cancer Using Thin CT Scans: An Attention-Enhanced Graph Convolutional Network Approach. CoRR abs/2308.14000 (2023) - 2022
- [j3]Jing Zhou, Wei Lan, Hansheng Wang:
Asymptotic covariance estimation by Gaussian random perturbation. Comput. Stat. Data Anal. 171: 107459 (2022) - [i1]Jing Zhou, Xinru Jing, Muyu Liu, Hansheng Wang:
Embedding Compression for Text Classification Using Dictionary Screening. CoRR abs/2211.12715 (2022) - 2021
- [j2]Jing Zhou, Haobo Qi, Yu Chen, Hansheng Wang:
Progressive principle component analysis for compressing deep convolutional neural networks. Neurocomputing 440: 197-206 (2021)
2010 – 2019
- 2019
- [j1]Jilei Zhou, Jing Zhou, Ying Ding, Hansheng Wang:
The magic of danmaku: A social interaction perspective of gift sending on live streaming platforms. Electron. Commer. Res. Appl. 34 (2019)
Coauthor Index
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