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Yixuan Qiu
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2020 – today
- 2024
- [j8]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): 113 (2024) - [j7]Libao Deng
, Yixuan Qiu, Wenyin Gong
A dynamic decision-driven memetic algorithm for fuzzy distributed hybrid flow shop rescheduling considering quality control. Expert Syst. Appl. 257: 125002 (2024) - [j6]Stacy A. Doore
Images, Words, and Imagination: Accessible Descriptions to Support Blind and Low Vision Art Exploration and Engagement. J. Imaging 10(1): 26 (2024) - [c8]Amber Yijia Zheng, Tong He, Yixuan Qiu, Minjie Wang, David Wipf:
Graph Machine Learning through the Lens of Bilevel Optimization. AISTATS 2024: 982-990 - [i8]Amber Yijia Zheng, Tong He, Yixuan Qiu, Minjie Wang, David Wipf:
BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization. CoRR abs/2403.04763 (2024) - [i7]Yixuan Qiu, Qingyi Gao, Xiao Wang:
Adaptive Learning of the Latent Space of Wasserstein Generative Adversarial Networks. CoRR abs/2409.18374 (2024) - 2023
- [j5]Yixuan Qiu
Pre-training in Medical Data: A Survey. Mach. Intell. Res. 20(2): 147-179 (2023) - [j4]Xiao Guo, Yixuan Qiu, Hai Zhang, Xiangyu Chang:
Randomized Spectral Co-Clustering for Large-Scale Directed Networks. J. Mach. Learn. Res. 24: 380:1-380:68 (2023) - [c7]Yixuan Qiu
A Progressive Sampling Method for Dual-Node Imbalanced Learning with Restricted Data Access. ICDM 2023: 508-517 - [c6]Ben Dai, Yixuan Qiu:
ReHLine: Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence. NeurIPS 2023 - [i6]Yijia Zheng, Tong He, Yixuan Qiu, David Wipf:
Learning Manifold Dimensions with Conditional Variational Autoencoders. CoRR abs/2302.11756 (2023) - [i5]Yixuan Qiu, Xiao Wang:
Efficient Multimodal Sampling via Tempered Distribution Flow. CoRR abs/2304.03933 (2023) - 2022
- [c5]Yijia Zheng, Tong He, Yixuan Qiu, David P. Wipf:
Learning Manifold Dimensions with Conditional Variational Autoencoders. NeurIPS 2022 - [i4]Shuai Liu, Yixuan Qiu, Baojuan Li, Huaning Wang, Xiangyu Chang:
Learning Multitask Gaussian Bayesian Networks. CoRR abs/2205.05343 (2022) - 2021
- [j3]Yixuan Qiu
Identification of cell-type-specific marker genes from co-expression patterns in tissue samples. Bioinform. 37(19): 3228-3234 (2021) - [c4]Yixuan Qiu
STCT: Spatial-Temporal Conv-Transformer Network for Cardiac Arrhythmias Recognition. ADMA 2021: 86-100 - 2020
- [c3]Yixuan Qiu, Xiao Wang:
Stochastic Approximate Gradient Descent via the Langevin Algorithm. AAAI 2020: 5428-5435 - [c2]Yixuan Qiu, Lingsong Zhang, Xiao Wang:
Unbiased Contrastive Divergence Algorithm for Training Energy-Based Latent Variable Models. ICLR 2020 - [i3]Yixuan Qiu, Xiao Wang:
Stochastic Approximate Gradient Descent via the Langevin Algorithm. CoRR abs/2002.05519 (2020) - [i2]Xiao Guo, Yixuan Qiu, Hai Zhang, Xiangyu Chang:
Randomized spectral co-clustering for large-scale directed networks. CoRR abs/2004.12164 (2020)
2010 – 2019
- 2019
- [i1]Yixuan Qiu, Jing Lei, Kathryn Roeder:
Gradient-based Sparse Principal Component Analysis with Extensions to Online Learning. CoRR abs/1911.08048 (2019) - 2017
- [j2]Gad Abraham
FlashPCA2: principal component analysis of Biobank-scale genotype datasets. Bioinform. 33(17): 2776-2778 (2017) - [c1]Yixuan Qiu, Wutao Wei:
A scalable sequential principal component analysis algorithm (SeqPCA) with application to user access control analysis. IEEE BigData 2017: 3946-3754 - 2015
- [j1]Yixuan Qiu:
showtext: Using System Fonts in R Graphics. R J. 7(1): 99 (2015)
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