Xinghua Lu

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 27

Top Topics

Learning Algorithm

Semantic Representation

Gene Expression

Top Venues

PLoS Comput. Biol.

Publications

Jiaqi Chen, Xiaofeng Jin, Guirong Wang, Mingdong Yu, Xinghua Lu
SAPVAD: An Efficient Voice Activity Detection Model Based on Spectral Attention and Parallel Structure. CISP-BMEI (2023)
Xueer Chen, Lujia Chen, Cornelius H. L. Kürten, Fattaneh Jabbari, Lazar Vujanovic, Ying Ding, Binfeng Lu, Kevin Lu, Aditi Kulkarni, Tracy Tabib, Robert Lafyatis, Gregory F. Cooper, Robert Ferris, Xinghua Lu
An individualized causal framework for learning intercellular communication networks that define microenvironments of individual tumors. PLoS Comput. Biol. 18 (12) (2022)
Manqi Cai, Molin Yue, Tianmeng Chen, Jinling Liu, Erick Forno, Xinghua Lu, Timothy Billiar, Juan C. Celedón, Chris McKennan, Wei Chen, Jiebiao Wang
Robust and accurate estimation of cellular fraction from tissue omics data via ensemble deconvolution. Bioinform. 38 (11) (2022)
Shuyu Lu, Ruoyu Chen, Wei Wei, Mia Belovsky, Xinghua Lu
Understanding Heart-Failure Patients EHR Clinical Features via SHAP Interpretation of Tree-Based Machine Learning Model Predictions. AMIA (2021)
Xinghua Lu, Peihao Liu, Yiran Ke, Hao Zhang
Network data security sharing system based on blockchain. Multim. Tools Appl. 80 (21) (2021)
Shuyu Lu, Ruoyu Chen, Wei Wei, Xinghua Lu
Understanding Heart-Failure Patients EHR Clinical Features via SHAP Interpretation of Tree-Based Machine Learning Model Predictions. CoRR (2021)
Xinghua Lu, Yunsheng Chen, Zi-yue Yuan
A full freedom pose measurement method for industrial robot based on reinforcement learning algorithm. Soft Comput. 25 (20) (2021)
Yifeng Tao, Chunhui Cai, William W. Cohen, Xinghua Lu
From Genome to Phenome: Predicting Multiple Cancer Phenotypes Based on Somatic GenomicAlterations via the Genomic Impact Transformer. PSB (2020)
Jonathan D. Young, Bryan Andrews, Gregory F. Cooper, Xinghua Lu
Learning Latent Causal Structures with a Redundant Input Neural Network. CD@KDD (2020)
Jinling Liu, Xiaojun Ma, Gregory F. Cooper, Xinghua Lu
Explicit representation of protein activity states significantly improves causal discovery of protein phosphorylation networks. BMC Bioinform. (13) (2020)
Jonathan D. Young, Bryan Andrews, Gregory F. Cooper, Xinghua Lu
Learning Latent Causal Structures with a Redundant Input Neural Network. CoRR (2020)
Yifeng Tao, Shuangxia Ren, Michael Q. Ding, Russell Schwartz, Xinghua Lu
Predicting Drug Sensitivity of Cancer Cell Lines via Collaborative Filtering with Contextual Attention. MLHC (2020)
Qiao Jin, Jinling Liu, Xinghua Lu
Deep Contextualized Biomedical Abbreviation Expansion. CoRR (2019)
Yifan Xue, Michael Q. Ding, Xinghua Lu
Supervised Vector Quantized Variational Autoencoder for Learning Interpretable Global Representations. CoRR (2019)
Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William W. Cohen, Xinghua Lu
PubMedQA: A Dataset for Biomedical Research Question Answering. EMNLP/IJCNLP (1) (2019)
Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William W. Cohen, Xinghua Lu
PubMedQA: A Dataset for Biomedical Research Question Answering. CoRR (2019)
Qiao Jin, Bhuwan Dhingra, William W. Cohen, Xinghua Lu
Probing Biomedical Embeddings from Language Models. CoRR (2019)
Chunhui Cai, Gregory F. Cooper, Kevin N. Lu, Xiaojun Ma, Shuping Xu, Zhenlong Zhao, Xueer Chen, Yifan Xue, Adrian V. Lee, Nathan Clark, Vicky Chen, Songjian Lu, Lujia Chen, Liyue Yu, Harry Hochheiser, Xia Jiang, Q. Jane Wang, Xinghua Lu
Systematic discovery of the functional impact of somatic genome alterations in individual tumors through tumor-specific causal inference. PLoS Comput. Biol. 15 (7) (2019)
Qiao Jin, Jinling Liu, Xinghua Lu
Deep Contextualized Biomedical Abbreviation Expansion. BioNLP@ACL (2019)
Lifan Liang, Vicky Chen, Kunju Zhu, Xiaonan Fan, Xinghua Lu, Songjian Lu
Integrating data and knowledge to identify functional modules of genes: a multilayer approach. BMC Bioinform. 20 (1) (2019)
Xinghua Lu, Luyang Han, Zhixin Ma
Research on risk management of military action. IMMS (2018)
Xinghua Lu, Zhixin Ma
Research on the Problem of the Intuitive Decision Making. ICEBT (2018)
Xinghua Lu, Gang Zhao, Haiying Liu, Fangyi Zhang
High Precision Detection System of Circuit Board Based on Image Location. ADHIP (2018)
Jonathan D. Young, Chunhui Cai, Xinghua Lu
Unsupervised deep learning reveals prognostically relevant subtypes of glioblastoma. BMC Bioinform. 18 (S-11) (2017)
Vicky Chen, John W. Paisley, Xinghua Lu
Revealing common disease mechanisms shared by tumors of different tissues of origin through semantic representation of genomic alterations and topic modeling. BMC Genom. 18 (S2) (2017)
Lujia Chen, Chunhui Cai, Vicky Chen, Xinghua Lu
Learning a hierarchical representation of the yeast transcriptomic machinery using an autoencoder model. BMC Bioinform. 17 (S-1) (2016)
Songjian Lu, Gunasheil Mandava, Gaibo Yan, Xinghua Lu
An exact algorithm for finding cancer driver somatic genome alterations: the weighted mutually exclusive maximum set cover problem. Algorithms Mol. Biol. 11 (2016)
Songjian Lu, Kevin N. Lu, Shi-Yuan Cheng, Bo Hu, Xiaojun Ma, Nicholas Nystrom, Xinghua Lu
Identifying Driver Genomic Alterations in Cancers by Searching Minimum-Weight, Mutually Exclusive Sets. PLoS Comput. Biol. 11 (8) (2015)
Henry Ogoe, Shyam Visweswaran, Xinghua Lu, Vanathi Gopalakrishnan
Knowledge transfer via classification rules using functional mapping for integrative modeling of gene expression data. BMC Bioinform. 16 (2015)
Songjian Lu, Kevin N. Lu, Shi-Yuan Cheng, Bo Hu, Xiaojun Ma, Nicholas Nystrom, Xinghua Lu
Identifying driver genomic alterations in cancers by searching minimum-weight, mutually exclusive sets. BIBM (2015)
Xinghua Lu, Pinghua Chen
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). 计算机科学 42 (4) (2015)
Lujia Chen, Chunhui Cai, Vicky Chen, Xinghua Lu
Trans-species learning of cellular signaling systems with bimodal deep belief networks. Bioinform. 31 (18) (2015)
Gregory F. Cooper, Ivet Bahar, Michael J. Becich, Panayiotis V. Benos, Jeremy M. Berg, Jeremy U. Espino, Clark Glymour, Rebecca Crowley Jacobson, Michelle Kienholz, Adrian V. Lee, Xinghua Lu, Richard Scheines
The center for causal discovery of biomedical knowledge from big data. J. Am. Medical Informatics Assoc. 22 (6) (2015)
Songjian Lu, Xinghua Lu
An exact algorithm for the weighed mutually exclusive maximum set cover problem. CoRR (2014)
Songjian Lu, Xinghua Lu
An exact algorithm with the time complexity of $O^*(1.299^m)$ for the weighed mutually exclusive set cover problem CoRR (2013)
Songjian Lu, Xinghua Lu
Using graph model to find transcription factor modules: the hitting set problem and an exact algorithm. Algorithms Mol. Biol. 8 (2013)
Hatice U. Osmanbeyoglu, Ryan J. Hartmaier, Steffi Oesterreich, Xinghua Lu
Improving ChIP-seq peak-calling for functional co-regulator binding by integrating multiple sources of biological information. BMC Genom. 13 (S-1) (2012)
Adam J. Richards, John Schwacke, Bärbel Rohrer, L. Ashley Cowart, Xinghua Lu
Revealing functionally coherent subsets using a spectral clustering and an information integration approach. BMC Syst. Biol. 6 (S-3) (2012)
Tingting Qin, Lam C. Tsoi, Kellie J. Sims, Xinghua Lu, W. Jim Zheng
Signaling network prediction by the Ontology Fingerprint enhanced Bayesian network. BMC Syst. Biol. 6 (S-3) (2012)
Songjian Lu, Xinghua Lu
A graph model and an exact algorithm for finding transcription factor modules. BCB (2011)
Adam J. Richards, Brian Muller, Matthew S. Shotwell, L. Ashley Cowart, Bärbel Rohrer, Xinghua Lu
Assessing the functional coherence of gene sets with metrics based on the Gene Ontology graph. Bioinform. 26 (12) (2010)
Bo Jin, Xinghua Lu
Identifying informative subsets of the Gene Ontology with information bottleneck methods. Bioinform. 26 (19) (2010)
Bo Jin, Alvin Strasburger, Steven J. Laken, F. Andrew Kozel, Kevin A. Johnson, Mark S. George, Xinghua Lu
Feature selection for fMRI-based deception detection. BMC Bioinform. 10 (S-9) (2009)
Bo Jin, Brian Muller, Chengxiang Zhai, Xinghua Lu
Multi-label literature classification based on the Gene Ontology graph. BMC Bioinform. 9 (2008)
Bin Zheng, David C. McLean Jr., Xinghua Lu
Identifying biological concepts from a protein-related corpus with a probabilistic topic model. BMC Bioinform. 7 (2006)
Yanan Fang, Xinghua Lu, Huaizu Li
Real-time Health Information Acquisition and Alarm System Based on Bluetooth and GPRS Communication Technologies. SMC (2006)
Yian Ann Chen, Cheng-Chung Chou, Xinghua Lu, Elizabeth H. Slate, Konan Peck, Wenying Xu, Eberhard O. Voit, Jonas S. Almeida
A multivariate prediction model for microarray cross-hybridization. BMC Bioinform. 7 (2006)
Xinghua Lu, Bin Zheng, Atulya Velivelli, ChengXiang Zhai
Research Paper: Enhancing Text Categorization with Semantic-enriched Representation and Training Data Augmentation. J. Am. Medical Informatics Assoc. 13 (5) (2006)
ChengXiang Zhai, Xu Ling, Xin He, Atulya Velivelli, Xuanhui Wang, Hui Fang, Azadeh Shakery, Xinghua Lu
UIUC/MUSC at TREC 2005 Genomics Track. TREC (2005)
Xinghua Lu, Chengxiang Zhai, Vanathi Gopalakrishnan, Bruce G. Buchanan
Automatic annotation of protein motif function with Gene Ontology terms. BMC Bioinform. 5 (2004)
Xinghua Lu, Milos Hauskrecht, Roger S. Day
Modeling Cellular Processes with Variational Bayesian Cooperative Vector Quantizer. Pacific Symposium on Biocomputing (2004)