周靜

Fu, X^., Meng, X^., Zhou, J.*, and Ji, Y., (2023), High-risk Factor Prediction in Lung Cancer Using Thin CT Scans: An Attention-Enhanced Graph Convolutional Network Approach. In 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Istanbul, Turkiye, 2023 pp. 1905-1910.

Zhou, J., Hu, B., Feng, W., Zhang, Z., Fu, X.^, Shao, H.^, Wang, H., Jin, L., Ai, S., Ji, Y*., (2023), An Ensemble Deep Learning Model for Risk Stratification of Invasive Lung Adenocarcinoma Using Thin-Slice CT. Npj digital medicine, 6, 119.

Liu, J., Zhou, J.*, Lan, W., and Wang, H., (2023), Spatial Dynamic Panel Models with Missing Data. Stat, 12: e585.

Zhou, J., Leng, S.^, Wang, F*., and Wang, H., (2023), Automatic Discovery of Controversial Legal Judgments by an Entropy-Based Measurement. In the 35th International Conference on Software Engineering and Knowledge Engineering, SEKE2023, KSIR Virtual Conference Center, USA, July 1-10, 2023, pages 82–85. KSI Research Inc., 2023.

Zhou, J*., Jing, X.^, Liu, M.^, and Wang, H., (2023), Compressing the Embedding Matrix by a Dictionary Screening Approach in Text Classification. In the Proceedings of the 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2023), LNAI 13935, pp. 457–468.

Qi, H., Cao, J.^, Chen, S.^, and Zhou, J*., (2023), Compressing Recurrent Neural Network Models through Principal Component Analysis. Statistics and its Interface, 16(3), 397-407.

Zhang, R., Zhou, J.*, Lan, W., and Wang, H., (2022), A Case Study on the Shareholder Network Effect of Stock Market Data: A SARMA Approach. Science China Mathematics, 65(11)，2219-2242.

Qi, H., Zhou, J.*, and Wang, H., (2022), A Note on Factor Normalization for Deep Neural Network Models. Scientific Reports, 12, 5909.

Zhou, J., Lan, W.*, and Wang, H., (2022), Asymptotic Covariance Estimation by Gaussian Random Perturbation. Computational Statistics and Data Analysis, 171, 107459.

Zhou, J., Liu, J.*, Wang, F., and Wang H., (2022), Autoregressive model with spatial dependence and missing data. Journal of Business and Economic Statistics, 40(1): 28-34.

Zhou, J., Qi, H.*, Chen, Y., and Wang, H., (2021), Progressive principal component analysis for compressing deep convolutional neural networks. Neurocomputing, 440(2021),197-206.

Zhou, J., Li, D*, Pan,R., and Wang, H., (2020), Network GARCH Model. Statistica Sinica, 30(4), 1723-1740.

Zhou, J., Zhou, J.*, Ding, Y, and Wang, H. (2019), The Magic of Danmaku: A Social Interaction Perspective in the Motivation of Gift Sending on Live Streaming Platforms. Electronic Commerce Research and Applications, Vol 34, 1-7.

Zhou, J., Huang,D.*, and Wang, H., (2018), A note on estimating spatial autocorrelation in a discrete choice model. Statistics and Its Interface, Vol. 11, No. 3, 433-439.

Huang. D, Zhou, J.*, and Wang, H., (2018), RFMS method for credit scoring based on bank card transaction data. Statistica Sinica, Vol. 28, No.4, 2903-2919.

Zhou, J., Tu, Y, Chen, Y., and Wang, H., (2017), Estimating Spatial Autocorrelation with Sampled Network Data. Journal of Business and Economic Statistics, 35(1)., 130~138.

Zhou, J., Huang D.*, and Wang, H. (2017), A Dynamic Logistic Regression for Network Link Prediction. Science China Mathematics, Vol.60, No.1, 165-176.

高天辰，曲浩，王菲菲，周靜*（2023），基於海量高維特徵因子的券商客户流失預警模型研究，經濟管理學刊，第2卷第4期，143-168

周靜，楊玲燕，劉喆^，王芳*（2023），人工智能輔助法官決策研究：基於量刑偏差識別視角，經濟管理學刊，第2卷第2期，197-218

周靜，莊豔陽^，周季蕾*（2022），基於文本語義與動態網絡結構的科研合作網絡鏈路預測研究，情報資料工作，43(6)：21-29

周靜，沈俏蔚，塗平，王漢生（2019），社交網絡中被關注者類型與發帖類型對用户發帖動機的影響研究，管理科學, 第32卷第2期，67-76

周季蕾，周靜*，李季（2018），“IP劇”的社會化媒體營銷——基於文本挖掘與社會網絡分析的研究，現代管理科學，2018第7期，99-102

周靜，周小宇，王漢生（2017），自我網絡特徵對電信客户流失的影響研究，管理科學, 第30卷第5期，28-37

周靜，沈俏蔚，塗平，王漢生（2017），原創還是轉發？基於社交媒體UGC的交互效用研究，營銷科學學報，第13卷第4輯，55-67

潘蕊，周靜*，關蓉，（2017），社會網絡中意見領袖對客户間接價值的影響，商業研究，第59卷第9期，28-32

周靜，袁瑛，塗平（2016）中國電影圈主要導演和演員合作網絡的結構特徵分析，複雜系統與複雜性科學，第13卷第3期，69~80

Luo, R., Zhao, S.*, and Zhou, J., (2023), Information Network, Public Announcements and Asset Prices. Pacific-Basin Finance Journal, Volume 77, 101882.

Ji, Y., Bai, G., Qiu, B., Zhao, L., Zhou, J., Xue, Q., Gao. S., (2021), The surgical management of early-stage lung adenocarcinoma: is wedge resection effective? Journal of Thoracic Disease, 13(4):2137-2147.

Huang, D., Guan, G.*, Zhou, J., and Wang, H. (2018), Network-based Naive Bayes Model for Social Network. Science China Mathematics, 61 (4): 627-640.

胡競雄，周靜，黃茜，馬瑞穎，彭文廣，鍾躍思（2021），肝膽影像學指標對乙肝後肝硬化門靜脈高壓症患者肝功能預測價值，中華肝臟外科手術學電子雜誌，第10卷第5期，493-497

李季，張帥，周靜（2020），服務與需求的匹配度對客户流失的影響研究：基於電信行業的客户數據實驗，管理評論，第32卷第5期，192-204

王雪，郭慶雲，羅榮華，周靜（2018），基於信息網絡視角的機構持股與盈餘公告市場反應研究，中國軟科學，11, 172-183

發明專利，周靜、冀瑛、付小桐，基於影像組學和深度學習的肺腺癌亞型識別方法和裝置，授權公告日：2023年10月17日

發明專利，冀瑛、周靜、胡濱，基於多視野的3D卷積神經網絡集成模型肺結節診斷系統，授權公告日：2023年04年07日

發明專利，冀瑛、周靜、劉建華、胡濱，基於圖卷積神經網絡的肺癌病理高危因素預測方法和裝置，授權公告日：2023年03月21日

計算機軟件著作權，周靜，冀瑛，孔志宇，多原發肺癌生存預後計算軟件V1.0，登記日期：2023年05月18日

計算機軟件著作權，冀瑛、周靜，基於EMV-3D-CNN模型的肺結節危險分級預測平台[簡稱：EMV-3D-CNN肺結節風險分級預測平台]V1.0，登記日期：2023年03月20日