Yixuan Qiu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 21

Top Topics

Expression Patterns

Sparse Principal Component Analysis

Top Venues

Publications

Amber Yijia Zheng, Tong He, Yixuan Qiu, Minjie Wang, David Wipf
BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization. CoRR (2024)
Amber Yijia Zheng, Tong He, Yixuan Qiu, Minjie Wang, David Wipf
Graph Machine Learning through the Lens of Bilevel Optimization. AISTATS (2024)
Kevin Z. Lin, Yixuan Qiu, Kathryn Roeder
eSVD-DE: cohort-wide differential expression in single-cell RNA-seq data using exponential-family embeddings. BMC Bioinform. 25 (1) (2024)
Stacy A. Doore, David Istrati, Chenchang Xu, Yixuan Qiu, Anais Sarrazin, Nicholas A. Giudice
Images, Words, and Imagination: Accessible Descriptions to Support Blind and Low Vision Art Exploration and Engagement. J. Imaging 10 (1) (2024)
Libao Deng, Yixuan Qiu, Wenyin Gong, Yuanzhu Di, Chunlei Li
A dynamic decision-driven memetic algorithm for fuzzy distributed hybrid flow shop rescheduling considering quality control. Expert Syst. Appl. 257 (2024)
Ben Dai, Yixuan Qiu
ReHLine: Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence. NeurIPS (2023)
Yijia Zheng, Tong He, Yixuan Qiu, David Wipf
Learning Manifold Dimensions with Conditional Variational Autoencoders. CoRR (2023)
Yixuan Qiu, Weitong Chen, Miao Xu
A Progressive Sampling Method for Dual-Node Imbalanced Learning with Restricted Data Access. ICDM (2023)
Yixuan Qiu, Feng Lin, Weitong Chen, Miao Xu
Pre-training in Medical Data: A Survey. Mach. Intell. Res. 20 (2) (2023)
Yixuan Qiu, Xiao Wang
Efficient Multimodal Sampling via Tempered Distribution Flow. CoRR (2023)
Yijia Zheng, Tong He, Yixuan Qiu, David P. Wipf
Learning Manifold Dimensions with Conditional Variational Autoencoders. NeurIPS (2022)
Shuai Liu, Yixuan Qiu, Baojuan Li, Huaning Wang, Xiangyu Chang
Learning Multitask Gaussian Bayesian Networks. CoRR (2022)
Yixuan Qiu, Jiebiao Wang, Jing Lei, Kathryn Roeder
Identification of cell-type-specific marker genes from co-expression patterns in tissue samples. Bioinform. 37 (19) (2021)
Yixuan Qiu, Weitong Chen, Lin Yue, Miao Xu, Baofeng Zhu
STCT: Spatial-Temporal Conv-Transformer Network for Cardiac Arrhythmias Recognition. ADMA (2021)
Xiao Guo, Yixuan Qiu, Hai Zhang, Xiangyu Chang
Randomized spectral co-clustering for large-scale directed networks. CoRR (2020)
Yixuan Qiu, Xiao Wang
Stochastic Approximate Gradient Descent via the Langevin Algorithm. CoRR (2020)
Yixuan Qiu, Xiao Wang
Stochastic Approximate Gradient Descent via the Langevin Algorithm. AAAI (2020)
Yixuan Qiu, Lingsong Zhang, Xiao Wang
Unbiased Contrastive Divergence Algorithm for Training Energy-Based Latent Variable Models. ICLR (2020)
Yixuan Qiu, Jing Lei, Kathryn Roeder
Gradient-based Sparse Principal Component Analysis with Extensions to Online Learning. CoRR (2019)
Gad Abraham, Yixuan Qiu, Michael Inouye
FlashPCA2: principal component analysis of Biobank-scale genotype datasets. Bioinform. 33 (17) (2017)
Yixuan Qiu, Wutao Wei
A scalable sequential principal component analysis algorithm (SeqPCA) with application to user access control analysis. IEEE BigData (2017)
Yixuan Qiu
showtext: Using System Fonts in R Graphics. R J. 7 (1) (2015)