Yixuan Qiu

According to our database, Yixuan Qiu authored at least 25 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Wasserstein Coreset via Sinkhorn Loss.

Haoyun Yin, Yixuan Qiu, Xiao Wang

Trans. Mach. Learn. Res., 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

Ecol. Informatics, 2025

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

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., December, 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, January, 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

Expert Syst. Appl., 2024

Adaptive Learning of the Latent Space of Wasserstein Generative Adversarial Networks.

Yixuan Qiu, Qingyi Gao, Xiao Wang

CoRR, 2024

BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization.

Amber Yijia Zheng, Tong He, Yixuan Qiu, Minjie Wang, David Wipf

CoRR, 2024

Safe and Sparse Newton Method for Entropic-Regularized Optimal Transport.

Zihao Tang, Yixuan Qiu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Graph Machine Learning through the Lens of Bilevel Optimization.

Amber Yijia Zheng, Tong He, Yixuan Qiu, Minjie Wang, David Wipf

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Pre-training in Medical Data: A Survey.

Yixuan Qiu, Feng Lin, Weitong Chen, Miao Xu

Mach. Intell. Res., April, 2023

Randomized Spectral Co-Clustering for Large-Scale Directed Networks.

Xiao Guo, Yixuan Qiu, Hai Zhang, Xiangyu Chang

J. Mach. Learn. Res., 2023

Efficient Multimodal Sampling via Tempered Distribution Flow.

Yixuan Qiu, Xiao Wang

CoRR, 2023

ReHLine: Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence.

Ben Dai, Yixuan Qiu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Progressive Sampling Method for Dual-Node Imbalanced Learning with Restricted Data Access.

Yixuan Qiu, Weitong Chen, Miao Xu

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Learning Multitask Gaussian Bayesian Networks.

Shuai Liu, Yixuan Qiu, Baojuan Li, Huaning Wang, Xiangyu Chang

CoRR, 2022

Learning Manifold Dimensions with Conditional Variational Autoencoders.

Yijia Zheng, Tong He, Yixuan Qiu, David P. Wipf

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Identification of cell-type-specific marker genes from co-expression patterns in tissue samples.

Yixuan Qiu, Jiebiao Wang, Jing Lei, Kathryn Roeder

Bioinform., 2021

STCT: Spatial-Temporal Conv-Transformer Network for Cardiac Arrhythmias Recognition.

Yixuan Qiu, Weitong Chen, Lin Yue, Miao Xu, Baofeng Zhu

Proceedings of the Advanced Data Mining and Applications - 17th International Conference, 2021

2020

Unbiased Contrastive Divergence Algorithm for Training Energy-Based Latent Variable Models.

Yixuan Qiu, Lingsong Zhang, Xiao Wang

Proceedings of the 8th International Conference on Learning Representations, 2020

Stochastic Approximate Gradient Descent via the Langevin Algorithm.

Yixuan Qiu, Xiao Wang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Gradient-based Sparse Principal Component Analysis with Extensions to Online Learning.

Yixuan Qiu, Jing Lei, Kathryn Roeder

CoRR, 2019

2017

FlashPCA2: principal component analysis of Biobank-scale genotype datasets.

Gad Abraham, Yixuan Qiu, Michael Inouye

Bioinform., 2017

A scalable sequential principal component analysis algorithm (SeqPCA) with application to user access control analysis.

Yixuan Qiu, Wutao Wei

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2015

showtext: Using System Fonts in R Graphics.

Yixuan Qiu

R J., 2015