Xinghua Lu

发表

An exact algorithm for the weighed mutually exclusive maximum set cover problem pdf

Songjian Lu, Xinghua Lu, Xinghua Lu, 2014, ArXiv.

Revealing functionally coherent gene subset using spectral clustering and information integration approaches.

Xinghua Lu, T Qin, Lc Tsoi, 2012 .

A graph model and an exact algorithm for finding transcription factor modules

Songjian Lu, Xinghua Lu, 2011, BCB '11.

Improving ChIP-seq peak-calling for functional co-regulator binding by integrating multiple sources of biological information

Xinghua Lu, Steffi Oesterreich, Hatice U. Osmanbeyoglu, 2012, BMC Genomics.

A Multidimensional Understanding on Innovation Problem

Xinghua Lu, Weihua Cui, Xiaona Zhang, 2018 .

A Modified Control Method of Robot Path Curve Deviation Based on Terminal Trajectory Tracking

Xinghua Lu, Yongtao Zheng, 2018 .

The center for causal discovery of biomedical knowledge from big data

Richard Scheines, Gregory F. Cooper, Clark Glymour, 2015, J. Am. Medical Informatics Assoc..

Identifying informative subsets of the Gene Ontology with information bottleneck methods

Xinghua Lu, Bo Jin, 2010, Bioinform..

PubMedQA: A Dataset for Biomedical Research Question Answering

William W. Cohen, Bhuwan Dhingra, Xinghua Lu, 2019, EMNLP.

Feature selection for fMRI-based deception detection

Xinghua Lu, Bo Jin, F. Andrew Kozel, 2009, BMC Bioinformatics.

Integrating data and knowledge to identify functional modules of genes: a multilayer approach

Songjian Lu, Xinghua Lu, Kunju Zhu, 2019, BMC Bioinformatics.

An exact algorithm for finding cancer driver somatic genome alterations: the weighted mutually exclusive maximum set cover problem

Songjian Lu, Xinghua Lu, Gunasheil Mandava, 2016, Algorithms for Molecular Biology.

Using graph models to find transcription factor modules: the hitting set problem and an exact algorithm

Songjian Lu, Xinghua Lu, 2012, Algorithms for Molecular Biology.

A multivariate prediction model for microarray cross-hybridization

Jonas S. Almeida, Eberhard O. Voit, Yian A. Chen, 2006, BMC Bioinformatics.

Optimization of Counterwind Disturbance Compensation Control Algorithm for UAV Flight

Xinghua Lu, Yongcong Chen, 2018 .

Research Paper: Enhancing Text Categorization with Semantic-enriched Representation and Training Data Augmentation

Bin Zheng, ChengXiang Zhai, Xinghua Lu, 2006, J. Am. Medical Informatics Assoc..

Modeling Cellular Processes with Variational Bayesian Cooperative Vector Quantizer

Milos Hauskrecht, Xinghua Lu, Roger S. Day, 2003, Pacific Symposium on Biocomputing.

Using protein-semantic network metrics to evaluate functional coherence of protein groups.

Bin Zheng, Xinghua Lu, 2007, AMIA ... Annual Symposium proceedings. AMIA Symposium.

Knowledge transfer via classification rules using functional mapping for integrative modeling of gene expression data

Shyam Visweswaran, Xinghua Lu, Vanathi Gopalakrishnan, 2015, BMC Bioinformatics.

UIUC/MUSC at TREC 2005 Genomics Track

Xin He, Azadeh Shakery, Xu Ling, 2005, TREC.

Learning to encode cellular responses to systematic perturbations with deep generative models

Michael Q. Ding, Xinghua Lu, Yifan Xue, 2020, NPJ systems biology and applications.

Stability control algorithm for unmanned aerial vehicle based on dynamic feedback search

Xinghua Lu, Jianbo Ke, 2017 .

Flight Stability Control of Unmanned Aerial Vehicle Based on Micro Inertia Attitude Adjustment

Xinghua Lu, 2017, 2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC).

Multi-label literature classification based on the Gene Ontology graph

ChengXiang Zhai, Xinghua Lu, Bo Jin, 2008, BMC Bioinformatics.

Research on UAV Time Delay Controller Based on Improved Smith Training Neural Network

Xinghua Lu, Xinghua Lu, 2017, 2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC).

基于定量递归联合熵特征重构的缓冲区流量预测算法 (Traffic Prediction Algorithm in Buffer Based on Recurrence Quantification Union Entropy Feature Reconstruction)

Pinghua Chen, Xinghua Lu, 2015, 计算机科学.

Learning Latent Causal Structures with a Redundant Input Neural Network

Gregory F. Cooper, Xinghua Lu, Jonathan D. Young, 2020, CD@KDD.

Probing Biomedical Embeddings from Language Models pdf

William W. Cohen, Bhuwan Dhingra, Xinghua Lu, 2019, Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for.

Research on Optimization Retrieval Technology of Multimedia Information Management System Based on Fuzzy Control

Xinghua Lu, Yijia Huang, Xinghua Lu, 2018, IOP Conference Series: Materials Science and Engineering.

A Moving Object Extraction Algorithm Based on Hybrid Background Subtraction and Pixel Mean Technique

Zhong Ming, Xinghua Lu, Fang Zhou, 2018 .

Revealing functionally coherent subsets using a spectral clustering and an information integration approach

Xinghua Lu, Adam J. Richards, John Schwacke, 2012, BMC Systems Biology.

Learning to encode cellular responses to systematic perturbations with deep generative models

Michael Q. Ding, Xinghua Lu, Yifan Xue, 2020, bioRxiv.

Identifying Driver Genomic Alterations in Cancers by Searching Minimum-Weight, Mutually Exclusive Sets

Bo Hu, Xiaojun Ma, Songjian Lu, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Automatic annotation of protein motif function with Gene Ontology terms

ChengXiang Zhai, Bruce G. Buchanan, Xinghua Lu, 2003, BMC Bioinformatics.

Optimization of Full Trajectory Pitch Tracking Control for Low Altitude Penetration of UAV

Xinghua Lu, Yongtao Zheng, 2018 .

GOGrapher: A Python library for GO graph representation and analysis

Xinghua Lu, Bo Jin, Brian Muller, 2009, BMC Research Notes.

Algorithm of UAV flight disturbance control based on dynamic trajectory learning

Xiaoli Liu, Xinghua Lu, 2018 .

Supervised Vector Quantized Variational Autoencoder for Learning Interpretable Global Representations pdf

Michael Q. Ding, Xinghua Lu, Yifan Xue, 2019, ArXiv.

Learning a hierarchical representation of the yeast transcriptomic machinery using an autoencoder model

Xinghua Lu, Vicky Chen, Lujia Chen, 2016, BMC Bioinformatics.

A new knowledge representation based matter element system and the related extension reasoning

Xuyan Tu, Guowei Yang, Xinghua Lu, 2003, International Conference on Natural Language Processing and Knowledge Engineering, 2003. Proceedings. 2003.

Signaling network prediction by the Ontology Fingerprint enhanced Bayesian network

W. Jim Zheng, Xinghua Lu, Lam C. Tsoi, 2012, BMC Systems Biology.

Assessing the functional coherence of gene sets with metrics based on the Gene Ontology graph

Xinghua Lu, Brian Muller, Adam J. Richards, 2010, Bioinform..

An exact algorithm with the time complexity of $O^*(1.299^m)$ for the weighed mutually exclusive set cover problem pdf

Songjian Lu, Xinghua Lu, Xinghua Lu, 2013, ArXiv.

Trans-species learning of cellular signaling systems with bimodal deep belief networks

Xinghua Lu, Vicky Chen, Lujia Chen, 2015, Bioinform..

Mapping annotations with textual evidence using an scLDA model.

Xinghua Lu, Vicky Chen, Lujia Chen, 2011, AMIA ... Annual Symposium proceedings. AMIA Symposium.

High Precision Detection System of Circuit Board Based on Image Location

Gang Zhao, Haiying Liu, Xinghua Lu, 2018, ADHIP.

Making deep learning models transparent

Xinghua Lu, Lujia Chen, 2018 .

Identifying biological concepts from a protein-related corpus with a probabilistic topic model

Bin Zheng, Xinghua Lu, David C. McLean, 2006, BMC Bioinformatics.

Unsupervised deep learning reveals prognostically relevant subtypes of glioblastoma

Xinghua Lu, Jonathan D. Young, Chunhui Cai, 2017, BMC Bioinformatics.

Deep Contextualized Biomedical Abbreviation Expansion pdf

Xinghua Lu, Qiao Jin, Jinling Liu, 2019, BioNLP@ACL.

Gait Tracking Control of Machine Leg Based on Damping Torque Feedback Control

Xinghua Lu, Weipeng Huang, Pengfen Huang, 2018 .

Stability control algorithm for unmanned aerial vehicle based on dynamic feedback search

Xinghua Lu, Jianbo Ke, 2017 .

Imputation of PaO2 from SpO2 values from the MIMIC-III Critical Care Database Using Machine-Learning Based Algorithms

Xinghua Lu, Richard D. Boyce, Mehdi Nouraie, 2021, medRxiv.

Understanding Heart-Failure Patients EHR Clinical Features via SHAP Interpretation of Tree-Based Machine Learning Model Predictions pdf

Xinghua Lu, Ruoyu Chen, Shuyu Lu, 2021, AMIA.

From Data towards Knowledge: Revealing the Architecture of Signaling Systems by Unifying Knowledge Mining and Data Mining of Systematic Perturbation Data

Songjian Lu, Xinghua Lu, L. Ashley Cowart, 2013, PloS one.

Functional MRI Detection of Deception After Committing a Mock Sabotage Crime *

Xinghua Lu, Dean A. Pollina, Kevin A. Johnson, 2009, Journal of forensic sciences.

Integrating Genome and Functional Genomics Data to Reveal Perturbed Signaling Pathways in Ovarian Cancers

Songjian Lu, Xinghua Lu, 2012, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Conceptualization of molecular findings by mining gene annotations

Xinghua Lu, Vicky Chen, Xinghua Lu, 2013, BMC Proceedings.

Tumor-specific Causal Inference (TCI): A Bayesian Method for Identifying Causative Genome Alterations within Individual Tumors

Gregory F. Cooper, Xinghua Lu, Chunhui Cai, 2017, bioRxiv.

From genome to phenome: Predicting multiple cancer phenotypes based on somatic genomic alterations via the genomic impact transformer

William W. Cohen, Xinghua Lu, Yifeng Tao, 2019, PSB.

Identifying Driver Genomic Alterations in Cancers by Searching Minimum-Weight, Mutually Exclusive Sets

Songjian Lu, Xinghua Lu, Bo Hu, 2015, PLoS computational biology.

Systematic discovery of the functional impact of somatic genome alterations in individual tumors through tumor-specific causal inference

Songjian Lu, Xinghua Lu, Yifan Xue, 2018, bioRxiv.

Novel metrics for evaluating the functional coherence of protein groups via protein semantic network

Xinghua Lu, Xinghua Lu, Bin Zheng, 2007, Genome Biology.

A novel method of using Deep Belief Networks and genetic perturbation data to search for yeast signaling pathways

Songjian Lu, Xinghua Lu, Lujia Chen, 2018, PloS one.

Unexpected mobility variation among individual secretory vesicles produces an apparent refractory neuropeptide pool.

Xinghua Lu, Michael J Saxton, Xinghua Lu, 2003, Biophysical journal.

Modeling Signal Transduction from Protein Phosphorylation to Gene Expression

Xinghua Lu, Xia Jiang, Lujia Chen, 2014, Cancer Informatics.

Discovering functional impacts of miRNAs in cancers using a causal deep learning model

Xinghua Lu, Lujia Chen, Lujia Chen, 2018, BMC Medical Genomics.

A Study of Statistical Methods for Function Prediction of Protein Motifs

Hui Fang, Xinghua Lu, Tao Tao, 2004, Applied bioinformatics.