自 2022 年 1 月至 12 月，统计科学中心教员共发表论文 175 篇。以下为部分 代表性论文（按第一作者姓氏字母排序排列）:
[1]Chen, Kun; Lin, Daochao; Zhang, Zhihua(2022) . On Non-local Convergence Analysis of Deep Linear Networks. International Conference on Machine Learning 2022, PMLR 162:3417-3443. https://proceedings.mlr.press/v162/chen22p.html .
[2]Ding, Jian; Gwynne, Ewain (2022). Uniqueness of the critical and supercritical Liouville quantum gravity metrics. Proceedings of the London Mathematical Society, 3, 1-118.
[3]Ding, Jian; Gwynne, Ewain (2022). Up-to-constants comparison of Liouville first passage percolation and Liouville quantum gravity. Science China-Mathematics,https://doi.org/10.1007/s11425-021-1983- 0.
[4]Ding, Jian; Song, Jian; Sun, Rongfeng (2022). A new correlation inequality for Ising models with external fields. Probability Theory and Related Fields, https://doi.org/10.1007/s00440-022-01132-1.
[5]Hu, Xiaoyu; Yao, Fang(2022). Dynamic principal component analysis in high dimensions. Journal of the American Statistical Association, published online, https://doi.org/10.1080/01621459.2022.2115917.
[6]Jin Zijie; Huang, Wenjian; Shen, Ning; Li, Juan; Wang, Xiaochen; Dong, Jiqiao; Peter J. Park; Xi Ruibin(2022). Single cell gene fusion deteciton by scFusion. Nature Communications, 13(1), 1084.
[7]Zhou, Yang; Koudstaal Mark; Yu, Dengdeng; Kong, Dehan; Yao, Fang (2022). Nonparametric principal subspace regression. Journal of Machine Learning Research, 23(237), 1-28, https://jmlr.org/papers/v23/20-963.html.
[8]Li, Xiang; Liang, Jiadong; Chang, Xiangyu; Zhang, Zhihua(2022). Statistical Estimation and Online Inference via Local SGD. 35th Annual Conference on Learning Theory 2022, PMLR 178: 1613-1661, 2022. https://proceedings.mlr.press/v178/li22b.html.
[9]Liang, Decai; Huang, Hui; Guan, Yongtao; Yao, Fang (2022). Test of weak separability for spatially stationary functional field. Journal of the American Statistical Association, published online, https://doi.org/10.1080/01621459.2021.2002156.
[10]Liang, Jiadong; Han, Yuze; Li, Xiang; Zhang, Zhihua (2022). Asymptotic Behaviors of Projected Stochastic Approximation: A Jump Diffusion Perspective. NeurIPS 2022, https://openreview.net/forum?id=wo-a8Ji6s3A.
[11]Lin, Dachao; Ye, Haishan; Zhang, Zhihua (2022). Explicit Convergence Rates of Greedy and Random Quasi-Newton Methods. Journal of Machine Learning Research (JMLR), 23(162), 1-40.
[12]Lin, Shiyun; Han, Yuze; Li, Xiang; Zhang, Zhihua (2022). Personalized Federated Learning towards Communication Efficiency. NeurIPS 2022,https://openreview.net/pdf?id=wFymjzZEEkH .
[13]Lu, Zitong; Geng, Zhi; Li, Wei; Zhu, Shengyu; Jia, Jinzhu (2022). Evaluating causes of effects by posterior effects of causes. Biometrika, published online,https://doi.org/10.1093/biomet/asac038 .
[14]Ma, Chenchen; Tu, Yundong (2022). Group Fused LASSO for Large Factor Models with Multiple Structural Changes. Journal of Econometrics,https://doi.org/10.1016/j.jeconom.2022.02.003.
[15]Miao,Wang; Hu, Wenjie; Ogburn, Elizabeth L; Zhou, XiaoHua (2022). Identifying Effects of Multiple Treatments in the Presence of Unmeasured Confounding. Journal of the American Statistical Association,https://doi.org/10.1080/01621459.2021.2023551.
[16]Ren, Yanxia; Song, Renming; Sun, Zhenyao; Zhao Jianjie (2022). Stable central limit theorems for super Ornstein-Uhlenbeck processes, II. Acta Mathematica Sinica-English Series, 38(3), 487-498.
[17]Shao, Linxuan; Lin, Zhenhua; Yao, Fang (2022). Intrinsic Riemannian functional data analysis for sparse longitudinal observations. Annals of Statistics, 50(3), 1696-1721.
[18]Song, Guohe; Shi, Yang; Meng, Lu; Ma, Jiaqiang; Huang, Siyuan; Zhang, Juan; Wu, Yingcheng; Li, Jiaxin; Lin, Youpei; Yang, Shuaixi; Rao, Dongning; Cheng, Yifei; Lin, Jian; Ji, Shuyi; Liu, Yuming; Jiang, Shan; Wang, Xiaoliang; Zhang, Shu; Ke,Aiwu; Wang, Xiaoying; Cao, Ya; Ji, Yuan; Zhou, Jian; Fan, Jia; Zhang, Xiaoming; Xi, Ruibin; Gao, Qiang (2022). Single-cell transcriptomic analysis suggests two molecularly distinct subtypes of intrahepatic cholangiocarcinoma. Nature Communications, 13(1), 1642.
[19]Song, Xiaojun; Xiao, Zhijie (2022). On smooth tests for the equality of distributions. Econometric Theory, 38(1), 194-208.
[20]Tu, Yundong; Liang, Han-Ying; Wang, Qiying (2022). Nonparametric Inference for Quantile Cointegrations with Stationary Covariates. Journal of Econometrics, 230(2), 453-482.[21]Tu, Yundong; Wang, Ying (2022). Spurious Functional-coefficient Regression Models and Robust Inference with Marginal Integration. Journal of Econometrics, 229(2), 396-421.
[22]Wan, Hui; Chen, Liang; Deng, Minghua (2022). scNAME: neighborhood contrastive clustering with ancillary mask estimation for scRNA-seq data. Bioinformatics, 38(6), 1575-1583.
[23]Wang, Tianying; Ling, Wodan; Plantinga, Anna M.; Wu, Michael C.; Zhan, Xiang (2022). Testing microbiome association using integrated quantile regression models.
Bioinformatics, 38(2), 419-425.
[24]Wei, Chao; Jia, Lumeng; Huang, Xiaona; Tan, Jin; Wang, Mulan; Niu, Jing; Hou, Yingping; Sun, Jun; Zeng, Pengguihang; Wang, Jia; Qing, Li; Ma, Lin; Liu, Xinyi; Tang, Xiuxiao; Li, Fenjie; Jiang, Shaoshuai; Liu, Jingxin; Li, Tingting; Fan, Lili; Sun, Yujie; Gao, Juntao; Li, Cheng; Ding, Junjun (2022). CTCF organizes inter-A compartment interactions through RYBP-dependent phase separation. Cell research, 32(8), 744-760.
[25]Xiao, Feiyi; Tang, Junjie; Fang, Huaying; Xi, Ruibin (2022). Estimating graphical models for count data with applications to single-cell gene network. NeurIPS 2022, https://openreview.net/forum?id=7k_J2kkIy3U.
[26]Xie, Chuhan; Zhang, Zhihua (2022). A Statistical Online Inference Approach in Averaged Stochastic Approximation. NeurIPS 2022,https://openreview.net/forum?id=boItpVtQ14K.
[27]Xie, Feng; Huang, Biwei; Chen, Zhengming; He, Yangbo; Geng, Zhi; Zhang, Kun (2022). Identification of linear non-gaussian latent hierarchical structure. International Conference on Machine Learning, 24370-24387, 1.
[28]Xu, Yaxing; Zhao, Jingru; Ren, Yixuan; Wang, Xuyang; Lyu, Yulin; Xie, Bingqing; Sun, Yiming; Yuan, Xiandun; Liu, Haiyin; Yang, Weifeng; Fu, Yenan; Yu, Yu; Liu, Yinan; Mu, Rong; Li, Cheng; Xu, Jun; Deng, Hongkui (2022). Derivation of totipotent-like stem cells with blastocyst-like structure forming potential. Cell research, 32(6), 513-529.
[29]Yang, Wenhao; Zhang, Liangyu; Zhang, Zhihua (2022). Towards Theoretical Understandings of Robust Markov Decision Processes: Sample Complexity and Asymptotics. Annals of Statistics, 50(6), 3223 - 3248.
[30]Yang, Ying; Yao, Fang (2022). Online estimation for functional data. Journal of the American Statistical Association, published online,https://doi.org/10.1080/01621459.2021.2002158.
[31]Ye, Haishan; Lin, Dachao; Chang, Xiangyu; Zhang, Zhihua (2022). Towards Explicit Superlinear Convergence Rate for SR1. Mathematical Programming, published online, https://doi.org/10.1007/s10107-022-01865-w.
[32]Yu, Jun; Wang, HaiYing; Ai, Mingyao; Zhang, Huiming (2022). Optimal Distributed Subsampling for Maximum Quasi-Likelihood Estimators with Massive Data. Journal of the American Statistical Association, 117(537), 265-276.
[33]Yuan, Musu; Chen, Liang; Deng, Minghua (2022). Clustering single-cell multi-omics data with moclust. Bioinformatics, published online,https://doi.org/10.1093/bioinformatics/btac736.
[34]Yuan, Musu; Chen, Liang; Deng, Minghua (2022). scMRA: a robust deep learning method to annotate scRNA-seq data with multiple reference datasets. Bioinformatics, 38(3), 738-745.
[35]Zhang, Liangyu; Peng, Yang; Yang, Wenhao; Zhang, Zhihua (2022). Semi-infinitely Constrained Markov Decision Processes. NeurIPS 2022,https://openreview.net/forum?id=ohk8bILFDkk .
[36]Zhang, Rong; Zhou, Jing; Lan, Wei; Wang, Hansheng (2022). A Case Study on the Shareholder Network Effect of Stock Market Data: ASARMA Approach. Science China-Mathematics, 65(11), 2219- 2242.
[37]Zhao, Junlong; Liu, Xiumin; Wang, Hansheng; Leng, Chenlei (2022). Dimension reduction for covariates in network data. Biometrika, 109(1), 85-102.
[38]Zhou, Hang; Yao, Fang (2022). Functional linear regression for discretely observed data: from ideal to reality. Biometrika, published online, https://doi.org/10.1093/biomet/asac053.
[39]Zhou, Zhengyong; Xie, Jiehua; Yang, Jingping (2022). Copula-based approximation to Markov chains. Science China-Mathematics, 65(3), 623-654.
