Tianwei Yu

47 papers A* 1B 1Journal 44Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Mixed Finite Element Method for the Dirichlet Vector Laplacian in Three Dimensions.
CoRR
Ralf Hiptmair, Peiyang Yu, Tianwei Yu
2026 J jnl
Fast Gibbs Sampling on Bayesian Hidden Markov Model with Missing Observations.
CoRR
Dongrong Li, Tianwei Yu, Xiaodan Fan
2026 J jnl
Learning, Solving and Optimizing PDEs with TensorGalerkin: an efficient high-performance Galerkin assembly algorithm.
CoRR
Shizheng Wen, Mingyuan Chi, Tianwei Yu, Ben Moseley, Mike Yan Michelis, Pu Ren, Hao Sun, Siddhartha Mishra
2025 J jnl
A Spatial-Aware Temporal Modeling Network for Imitation Learning-Based Drone Navigation.
IEEE Trans. Intell. Transp. Syst.
Tianwei Yu, Yuanjie Dang, Peng Chen, Dongdong Zhao, Ronghua Liang
2025 J jnl
ADM: adaptive graph diffusion for meta-dimension reduction.
Briefings Bioinform.
Junning Feng, Yong Liang, Tianwei Yu
2025 J jnl
Dissecting genetic regulation of metabolic coordination.
Briefings Bioinform.
Emily C. Hector, Daiwei Zhang, Leqi Tian, Junning Feng, Xianyong Yin, Tianyi Xu, Markku Laakso, Yun Bai, Jiashun Xiao, Jian Kang, Tianwei Yu
2025 J jnl
Network-Guided Sparse Subspace Clustering on Single-Cell Data.
J. Comput. Biol.
Chenyang Yuan, Shunzhou Jiang, Songyun Li, Jicong Fan, Tianwei Yu
2025 J jnl
Nonlinear embedding and integration of omics data: a fast and tuning-free approach.
Briefings Bioinform.
Shengjie Liu, Tianwei Yu
2024 J jnl
A robust statistical approach for finding informative spatially associated pathways.
Briefings Bioinform.
Leqi Tian, Jiashun Xiao, Tianwei Yu
2024 J jnl
Bayesian functional analysis for untargeted metabolomics data with matching uncertainty and small sample sizes.
Briefings Bioinform.
Guoxuan Ma, Jian Kang, Tianwei Yu
2024 — conf
Fast-scBatch: Batch Effect Correction Using Neural Network-Driven Distance Matrix Adjustment.
BCB
Fu Chen, Leqi Tian, Teng Fei, Tianwei Yu
2024 J jnl
G3DC: A Gene-Graph-Guided Selective Deep Clustering Method for Single Cell RNA-seq Data.
Big Data Min. Anal.
Shuqing He, Jicong Fan, Tianwei Yu
2023 J jnl
An integrated deep learning framework for the interpretation of untargeted metabolomics data.
Briefings Bioinform.
Leqi Tian, Tianwei Yu
2023 J jnl
MM-GANN-DDI: Multimodal Graph-Agnostic Neural Networks for Predicting Drug-Drug Interaction Events.
Comput. Biol. Medicine
Junning Feng, Yong Liang, Tianwei Yu
2023 A* conf
Multi-Speed Global Contextual Subspace Matching for Few-Shot Action Recognition.
ACM Multimedia
Tianwei Yu, Peng Chen, Yuanjie Dang, Ruohong Huan, Ronghua Liang
2022 J jnl
AIME: Autoencoder-based integrative multi-omics data embedding that allows for confounder adjustments.
PLoS Comput. Biol.
Tianwei Yu
2022 J jnl
An Attention Cascade Global-Local Network for Remote Sensing Scene Classification.
Remote. Sens.
Junge Shen, Tianwei Yu, Haopeng Yang, Ruxin Wang, Qi Wang
2022 B conf
BraceNet: Graph-Embedded Neural Network For Brain Network Analysis.
IEEE Big Data
Xuan Kan, Yunchuan Kong, Tianwei Yu, Ying Guo
2022 J jnl
Metapone: a Bioconductor package for joint pathway testing for untargeted metabolomics data.
Bioinform.
Leqi Tian, Zhenjiang Li, Guoxuan Ma, Xiaoyue Zhang, Ziyin Tang, Siheng Wang, Jian Kang, Donghai Liang, Tianwei Yu
2022 J jnl
Real-Time Efficient Trajectory Planning for Quadrotor Based on Hard Constraints.
J. Intell. Robotic Syst.
Peng Chen, Yongqi Jiang, Yuanjie Dang, Tianwei Yu, Ronghua Liang
2021 J jnl
Accurate feature selection improves single-cell RNA-seq cell clustering.
Briefings Bioinform.
Kenong Su, Tianwei Yu, Hao Wu
2020 J jnl
forgeNet: a graph deep neural network model using tree-based ensemble classifiers for feature graph construction.
Bioinform.
Yunchuan Kong, Tianwei Yu
2020 J jnl
scBatch: batch-effect correction of RNA-seq data through sample distance matrix adjustment.
Bioinform.
Teng Fei, Tianwei Yu
2019 J jnl
DNLC: differential network local consistency analysis.
BMC Bioinform.
Jianwei Lu, Yao Lu, Yusheng Ding, Qingyang Xiao, Linqing Liu, Qingpo Cai, Yunchuan Kong, Yun Bai, Tianwei Yu
2019 J jnl
Real-Time Semantic Plane Reconstruction on a Monocular Drone Using Sparse Fusion.
IEEE Trans. Veh. Technol.
Yuanjie Dang, Peng Chen, Ronghua Liang, Chong Huang, Yuesheng Tang, Tianwei Yu, Xin Yang, Kwang-Ting Cheng
2019 J jnl
forgeNet: A graph deep neural network model using tree-based ensemble classifiers for feature extraction.
CoRR
Yunchuan Kong, Tianwei Yu
2018 J jnl
A graph-embedded deep feedforward network for disease outcome classification and feature selection using gene expression data.
Bioinform.
Yunchuan Kong, Tianwei Yu
2018 J jnl
A new dynamic correlation algorithm reveals novel functional aspects in single cell and bulk RNA-seq data.
PLoS Comput. Biol.
Tianwei Yu
2018 J jnl
Missing value imputation for LC-MS metabolomics data by incorporating metabolic network and adduct ion relations.
Bioinform.
Zhuxuan Jin, Jian Kang, Tianwei Yu
2018 J jnl
Mitigating the adverse impact of batch effects in sample pattern detection.
Bioinform.
Teng Fei, Tengjiao Zhang, Weiyang Shi, Tianwei Yu
2018 J jnl
Nonlinear variable selection with continuous outcome: A fully nonparametric incremental forward stagewise approach.
Stat. Anal. Data Min.
Tianwei Yu
2017 J jnl
Detecting subnetwork-level dynamic correlations.
Bioinform.
Yan Yan, Shangzhao Qiu, Zhuxuan Jin, Sihong Gong, Yun Bai, Jianwei Lu, Tianwei Yu
2016 J jnl
Bayesian network feature finder (BANFF): an R package for gene network feature selection.
Bioinform.
Zhou Lan, Yize Zhao, Jian Kang, Tianwei Yu
2014 J jnl
Improving peak detection in high-resolution LC/MS metabolomics data using preexisting knowledge and machine learning approach.
Bioinform.
Tianwei Yu, Dean P. Jones
2014 J jnl
Network-based modular latent structure analysis.
BMC Bioinform.
Tianwei Yu, Yun Bai
2013 J jnl
AAPL: assessing association between
Stat. Anal. Data Min.
Tianwei Yu, Yize Zhao, Shihao Shen
2013 J jnl
Hierarchical Clustering of High- Throughput Expression Data Based on General Dependences.
IEEE ACM Trans. Comput. Biol. Bioinform.
Tianwei Yu, Hesen Peng
2013 J jnl
xMSanalyzer: automated pipeline for improved feature detection and downstream analysis of large-scale, non-targeted metabolomics data.
BMC Bioinform.
Karan Uppal, Quinlyn A. Soltow, Frederick H. Strobel, William Stephen Pittard, Kim M. Gernert, Tianwei Yu, Dean P. Jones
2011 J jnl
Clustering based on periodicity in high-throughput time course data.
Stat. Anal. Data Min.
Anna J. Blackstock, Amita K. Manatunga, Youngja Park, Dean P. Jones, Tianwei Yu
2011 J jnl
Incorporating Nonlinear Relationships in Microarray Missing Value Imputation.
IEEE ACM Trans. Comput. Biol. Bioinform.
Tianwei Yu, Hesen Peng, Wei Sun
2010 J jnl
An exploratory data analysis method to reveal modular latent structures in high-throughput data.
BMC Bioinform.
Tianwei Yu
2010 J jnl
Quantification and deconvolution of asymmetric LC-MS peaks using the bi-Gaussian mixture model and statistical model selection.
BMC Bioinform.
Tianwei Yu, Hesen Peng
2009 J jnl
apLCMS - adaptive processing of high-resolution LC/MS data.
Bioinform.
Tianwei Yu, Youngja Park, Jennifer M. Johnson, Dean P. Jones
2007 J jnl
A forward-backward fragment assembling algorithm for the identification of genomic amplification and deletion breakpoints using high-density single nucleotide polymorphism (SNP) array.
BMC Bioinform.
Tianwei Yu, Hui Ye, Wei Sun, Ker-Chau Li, Zugen Chen, Sharoni Jacobs, Dione K. Bailey, David T. Wong, Xiaofeng Zhou
2007 J jnl
Detection of eQTL modules mediated by activity levels of transcription factors.
Bioinform.
Wei Sun, Tianwei Yu, Ker-Chau Li
2005 J jnl
Inference of transcriptional regulatory network by two-stage constrained space factor analysis.
Bioinform.
Tianwei Yu, Ker-Chau Li
2005 J jnl
Study of coordinative gene expression at the biological process level.
Bioinform.
Tianwei Yu, Wei Sun, Shinsheng Yuan, Ker-Chau Li