Yixuan Qiu

31 papers A* 7A 1C 1Journal 21Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Hybrid Multiobjective Memetic Algorithm for Energy-Efficient Scheduling of Distributed Heterogeneous Flow Shop With Economic Benefit Problem.
IEEE Trans. Syst. Man Cybern. Syst.
Libao Deng, Yixuan Qiu, Chunlei Li, Ling Wang
2026 J jnl
OrthoDetNet: An Enhanced YOLO-Based Framework for Detection of Orthopedic Surgical Instruments.
IEEE J. Biomed. Health Informatics
Peng Xu, Guangquan Zhou, Mengxing Liu, Chu Guo, Yixuan Qiu, Yang Chen, Ping Zhou
2025 J jnl
A knowledge-driven memetic algorithm for distributed green flexible job shop scheduling considering the endurance of machines.
Appl. Soft Comput.
Libao Deng, Yixuan Qiu, Yuanzhu Di, Lili Zhang
2025 J jnl
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.
Ecol. Informatics
Yixuan Qiu, Zhongya Fan, Huiyun Feng, Yutao Wang, Dan Li, Wencai Wang, Ruting Huang, Jingang Jiang
2025 A* conf
The Sparse-Plus-Low-Rank Quasi-Newton Method for Entropic-Regularized Optimal Transport.
ICML
Chenrui Wang, Yixuan Qiu
2025 J jnl
Wasserstein Coreset via Sinkhorn Loss.
Trans. Mach. Learn. Res.
Haoyun Yin, Yixuan Qiu, Xiao Wang
2024 J jnl
A dynamic decision-driven memetic algorithm for fuzzy distributed hybrid flow shop rescheduling considering quality control.
Expert Syst. Appl.
Libao Deng, Yixuan Qiu, Wenyin Gong, Yuanzhu Di, Chunlei Li
2024 J jnl
Adaptive Learning of the Latent Space of Wasserstein Generative Adversarial Networks.
CoRR
Yixuan Qiu, Qingyi Gao, Xiao Wang
2024 J jnl
BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization.
CoRR
Amber Yijia Zheng, Tong He, Yixuan Qiu, Minjie Wang, David Wipf
2024 A conf
Graph Machine Learning through the Lens of Bilevel Optimization.
AISTATS
Amber Yijia Zheng, Tong He, Yixuan Qiu, Minjie Wang, David Wipf
2024 J jnl
Images, Words, and Imagination: Accessible Descriptions to Support Blind and Low Vision Art Exploration and Engagement.
J. Imaging
Stacy A. Doore, David Istrati, Chenchang Xu, Yixuan Qiu, Anais Sarrazin, Nicholas A. Giudice
2024 A* conf
Safe and Sparse Newton Method for Entropic-Regularized Optimal Transport.
NeurIPS
Zihao Tang, Yixuan Qiu
2024 J jnl
eSVD-DE: cohort-wide differential expression in single-cell RNA-seq data using exponential-family embeddings.
BMC Bioinform.
Kevin Z. Lin, Yixuan Qiu, Kathryn Roeder
2023 A* conf
A Progressive Sampling Method for Dual-Node Imbalanced Learning with Restricted Data Access.
ICDM
Yixuan Qiu, Weitong Chen, Miao Xu
2023 J jnl
Efficient Multimodal Sampling via Tempered Distribution Flow.
CoRR
Yixuan Qiu, Xiao Wang
2023 J jnl
Learning Manifold Dimensions with Conditional Variational Autoencoders.
CoRR
Yijia Zheng, Tong He, Yixuan Qiu, David Wipf
2023 J jnl
Pre-training in Medical Data: A Survey.
Mach. Intell. Res.
Yixuan Qiu, Feng Lin, Weitong Chen, Miao Xu
2023 J jnl
Randomized Spectral Co-Clustering for Large-Scale Directed Networks.
J. Mach. Learn. Res.
Xiao Guo, Yixuan Qiu, Hai Zhang, Xiangyu Chang
2023 A* conf
ReHLine: Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence.
NeurIPS
Ben Dai, Yixuan Qiu
2022 A* conf
Learning Manifold Dimensions with Conditional Variational Autoencoders.
NeurIPS
Yijia Zheng, Tong He, Yixuan Qiu, David P. Wipf
2022 J jnl
Learning Multitask Gaussian Bayesian Networks.
CoRR
Shuai Liu, Yixuan Qiu, Baojuan Li, Huaning Wang, Xiangyu Chang
2021 J jnl
Identification of cell-type-specific marker genes from co-expression patterns in tissue samples.
Bioinform.
Yixuan Qiu, Jiebiao Wang, Jing Lei, Kathryn Roeder
2021 C conf
STCT: Spatial-Temporal Conv-Transformer Network for Cardiac Arrhythmias Recognition.
ADMA
Yixuan Qiu, Weitong Chen, Lin Yue, Miao Xu, Baofeng Zhu
2020 J jnl
Randomized spectral co-clustering for large-scale directed networks.
CoRR
Xiao Guo, Yixuan Qiu, Hai Zhang, Xiangyu Chang
2020 A* conf
Stochastic Approximate Gradient Descent via the Langevin Algorithm.
AAAI
Yixuan Qiu, Xiao Wang
2020 J jnl
Stochastic Approximate Gradient Descent via the Langevin Algorithm.
CoRR
Yixuan Qiu, Xiao Wang
2020 A* conf
Unbiased Contrastive Divergence Algorithm for Training Energy-Based Latent Variable Models.
ICLR
Yixuan Qiu, Lingsong Zhang, Xiao Wang
2019 J jnl
Gradient-based Sparse Principal Component Analysis with Extensions to Online Learning.
CoRR
Yixuan Qiu, Jing Lei, Kathryn Roeder
2017 — conf
A scalable sequential principal component analysis algorithm (SeqPCA) with application to user access control analysis.
IEEE BigData
Yixuan Qiu, Wutao Wei
2017 J jnl
FlashPCA2: principal component analysis of Biobank-scale genotype datasets.
Bioinform.
Gad Abraham, Yixuan Qiu, Michael Inouye
2015 J jnl
showtext: Using System Fonts in R Graphics.
R J.
Yixuan Qiu