showtext: Using System Fonts in R Graphics. - Yixuan Qiu (R J., 2015)

A scalable sequential principal component analysis algorithm (SeqPCA) with application to user access control analysis. - Yixuan Qiu; Wutao Wei (IEEE BigData, 2017)

FlashPCA2: principal component analysis of Biobank-scale genotype datasets. - Gad Abraham; Yixuan Qiu; Michael Inouye (Bioinform., 2017)

Gradient-based Sparse Principal Component Analysis with Extensions to Online Learning. - Yixuan Qiu; Jing Lei 003; Kathryn Roeder (CoRR, 2019)

Stochastic Approximate Gradient Descent via the Langevin Algorithm. - Yixuan Qiu; Xiao Wang 045 (AAAI, 2020)

Unbiased Contrastive Divergence Algorithm for Training Energy-Based Latent Variable Models. - Yixuan Qiu; Lingsong Zhang; Xiao Wang 045 (ICLR, 2020)

STCT: Spatial-Temporal Conv-Transformer Network for Cardiac Arrhythmias Recognition. - Yixuan Qiu; Weitong Chen 001; Lin Yue; Miao Xu 001; Baofeng Zhu (ADMA, 2021)

Identification of cell-type-specific marker genes from co-expression patterns in tissue samples. - Yixuan Qiu; Jiebiao Wang; Jing Lei 003; Kathryn Roeder (Bioinform., 2021)

Learning Manifold Dimensions with Conditional Variational Autoencoders. - Yijia Zheng 001; Tong He 002; Yixuan Qiu; David P. Wipf (NeurIPS, 2022)

Learning Multitask Gaussian Bayesian Networks. - Shuai Liu; Yixuan Qiu; Baojuan Li; Huaning Wang; Xiangyu Chang (CoRR, 2022)

A Progressive Sampling Method for Dual-Node Imbalanced Learning with Restricted Data Access. - Yixuan Qiu; Weitong Chen 001; Miao Xu 001 (ICDM, 2023)

ReHLine: Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence. - Ben Dai; Yixuan Qiu (NeurIPS, 2023)

Efficient Multimodal Sampling via Tempered Distribution Flow. - Yixuan Qiu; Xiao Wang 045 (CoRR, 2023)

Randomized Spectral Co-Clustering for Large-Scale Directed Networks. - Xiao Guo; Yixuan Qiu; Hai Zhang 001; Xiangyu Chang (J. Mach. Learn. Res., 2023)

Pre-training in Medical Data: A Survey. - Yixuan Qiu; Feng Lin; Weitong Chen 001; Miao Xu 001 (Mach. Intell. Res., 2023)

Graph Machine Learning through the Lens of Bilevel Optimization. - Amber Yijia Zheng; Tong He 002; Yixuan Qiu; Minjie Wang; David Wipf (AISTATS, 2024)

Safe and Sparse Newton Method for Entropic-Regularized Optimal Transport. - Zihao Tang 001; Yixuan Qiu (NeurIPS, 2024)

BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization. - Amber Yijia Zheng; Tong He 002; Yixuan Qiu; Minjie Wang; David Wipf (CoRR, 2024)

Adaptive Learning of the Latent Space of Wasserstein Generative Adversarial Networks. - Yixuan Qiu; Qingyi Gao; Xiao Wang 045 (CoRR, 2024)

A dynamic decision-driven memetic algorithm for fuzzy distributed hybrid flow shop rescheduling considering quality control. - Libao Deng; Yixuan Qiu; Wenyin Gong; Yuanzhu Di; Chunlei Li 007 (Expert Syst. Appl., 2024)

Images, Words, and Imagination: Accessible Descriptions to Support Blind and Low Vision Art Exploration and Engagement. - Stacy A. Doore; David Istrati; Chenchang Xu; Yixuan Qiu; Anais Sarrazin; Nicholas A. Giudice (J. Imaging, 2024)

eSVD-DE: cohort-wide differential expression in single-cell RNA-seq data using exponential-family embeddings. - Kevin Z. Lin; Yixuan Qiu; Kathryn Roeder (BMC Bioinform., 2024)

A knowledge-driven memetic algorithm for distributed green flexible job shop scheduling considering the endurance of machines. - Libao Deng; Yixuan Qiu; Yuanzhu Di; Lili Zhang (Appl. Soft Comput., 2025)

Estimation of phytoplankton community composition from satellite data using a fuzzy and probabilistic combination model in mountainous reservoirs: A case of Huating Lake in spring and summer. - Yixuan Qiu; Zhongya Fan; Huiyun Feng; Yutao Wang; Dan Li; Wencai Wang; Ruting Huang; Jingang Jiang 004 (Ecol. Informatics, 2025)

Wasserstein Coreset via Sinkhorn Loss. - Haoyun Yin; Yixuan Qiu; Xiao Wang 045 (Trans. Mach. Learn. Res., 2025)