Fused mean-variance filter for feature screening. - Xiaodong Yan; Nian-Sheng Tang; Jinhan Xie; Xianwen Ding; Zhiqiang Wang (Comput. Stat. Data Anal., 2018)

A nonparametric feature screening method for ultrahigh-dimensional missing response. - Xiaoxia Li; Niansheng Tang; Jinhan Xie; Xiaodong Yan (Comput. Stat. Data Anal., 2020)

Fused variable screening for massive imbalanced data. - Jinhan Xie; Meiling Hao; Wenxin Liu; Yuanyuan Lin (Comput. Stat. Data Anal., 2020)

Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving. - Lei Ding 013; Dengdeng Yu; Jinhan Xie; Wenxing Guo; Shenggang Hu; Meichen Liu; Linglong Kong; Hongsheng Dai; Yanchun Bao; Bei Jiang (AAAI, 2022)

Balancing Gender Bias in Job Advertisements With Text-Level Bias Mitigation. - Shenggang Hu; Jabir Alshehabi Al-Ani; Karen D. Hughes; Nicole Denier; Alla Konnikov; Lei Ding 013; Jinhan Xie; Yang Hu; Monideepa Tarafdar; Bei Jiang; Linglong Kong; Hongsheng Dai (Frontiers Big Data, 2022)

Sampling-guided Heterogeneous Graph Neural Network with Temporal Smoothing for Scalable Longitudinal Data Imputation. - Zhaoyang Zhang; Ziqi Chen; Qiao Liu 008; Jinhan Xie; Hongtu Zhu (CoRR, 2024)

Tuning-free sparse clustering via alternating hard-thresholding. - Wei Dong; Chen Xu; Jinhan Xie; Niansheng Tang (J. Multivar. Anal., 2024)

The Effect of Ambient Illumination and Text Color on Visual Fatigue under Negative Polarity. - Qiangqiang Fan; Jinhan Xie; Zhaoyang Dong; Yang Wang (Sensors, 2024)

A transformer-based convolutional method to model inverse cascade in forced two-dimensional turbulence. - Haochen Li; Jinhan Xie; Chi Zhang; Yuchen Zhang; Yaomin Zhao (J. Comput. Phys., 2025)

Online federated learning framework for classification. - Wenxing Guo; Jinhan Xie; Jianya Lu; Bei Jiang; Hongsheng Dai; Linglong Kong (CoRR, 2025)

Non-Asymptotic Analysis of Online Local Private Learning with SGD. - Enze Shi; Jinhan Xie; Bei Jiang; Linglong Kong; Xuming He (CoRR, 2025)