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2020 – today
- 2023
- [c15]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: 1-5 - 2022
- [j28]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): 3004-3010 (2022) - [j27]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): 1010761 (2022) - 2021
- [j26]Xinghua Lu, Peihao Liu, Yiran Ke, Hao Zhang:
Network data security sharing system based on blockchain. Multim. Tools Appl. 80(21): 31887-31906 (2021) - [j25]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): 13027-13038 (2021) - [c14]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 - [i8]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 abs/2103.11254 (2021) - 2020
- [j24]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. 21-S(13): 379 (2020) - [c13]Jonathan D. Young, Bryan Andrews, Gregory F. Cooper, Xinghua Lu:
Learning Latent Causal Structures with a Redundant Input Neural Network. CD@KDD 2020: 62-91 - [c12]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: 660-684 - [c11]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: 79-90 - [i7]Jonathan D. Young, Bryan Andrews, Gregory F. Cooper, Xinghua Lu:
Learning Latent Causal Structures with a Redundant Input Neural Network. CoRR abs/2003.13135 (2020)
2010 – 2019
- 2019
- [j23]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): 225:1-225:15 (2019) - [j22]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) - [c10]Qiao Jin
, Jinling Liu, Xinghua Lu:
Deep Contextualized Biomedical Abbreviation Expansion. BioNLP@ACL 2019: 88-96 - [c9]Qiao Jin
, Bhuwan Dhingra, Zhengping Liu, William W. Cohen, Xinghua Lu:
PubMedQA: A Dataset for Biomedical Research Question Answering. EMNLP/IJCNLP (1) 2019: 2567-2577 - [i6]Qiao Jin, Bhuwan Dhingra, William W. Cohen, Xinghua Lu:
Probing Biomedical Embeddings from Language Models. CoRR abs/1904.02181 (2019) - [i5]Qiao Jin, Jinling Liu, Xinghua Lu:
Deep Contextualized Biomedical Abbreviation Expansion. CoRR abs/1906.03360 (2019) - [i4]Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William W. Cohen, Xinghua Lu:
PubMedQA: A Dataset for Biomedical Research Question Answering. CoRR abs/1909.06146 (2019) - [i3]Yifan Xue, Michael Q. Ding, Xinghua Lu:
Supervised Vector Quantized Variational Autoencoder for Learning Interpretable Global Representations. CoRR abs/1909.11124 (2019) - 2018
- [c8]Xinghua Lu
, Gang Zhao
, Haiying Liu
, Fangyi Zhang
:
High Precision Detection System of Circuit Board Based on Image Location. ADHIP 2018: 468-475 - [c7]Xinghua Lu, Zhixin Ma:
Research on the Problem of the Intuitive Decision Making. ICEBT 2018: 192-196 - [c6]Xinghua Lu, Luyang Han, Zhixin Ma:
Research on risk management of military action. IMMS 2018: 119-124 - 2017
- [j21]Jonathan D. Young, Chunhui Cai, Xinghua Lu:
Unsupervised deep learning reveals prognostically relevant subtypes of glioblastoma. BMC Bioinform. 18(S-11): 5-17 (2017) - [j20]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) - 2016
- [j19]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: 11 (2016) - [j18]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): 9 (2016) - 2015
- [j17]Lujia Chen, Chunhui Cai, Vicky Chen, Xinghua Lu:
Trans-species learning of cellular signaling systems with bimodal deep belief networks. Bioinform. 31(18): 3008-3015 (2015) - [j16]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: 226:1-226:15 (2015) - [j15]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): 1132-1136 (2015) - [j14]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): 68-71 (2015) - [j13]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) - [c5]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: 1728-1730 - 2014
- [i2]Songjian Lu, Xinghua Lu:
An exact algorithm for the weighed mutually exclusive maximum set cover problem. CoRR abs/1401.6385 (2014) - 2013
- [j12]Songjian Lu, Xinghua Lu:
Using graph model to find transcription factor modules: the hitting set problem and an exact algorithm. Algorithms Mol. Biol. 8: 2 (2013) - [i1]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 abs/1302.5820 (2013) - 2012
- [j11]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): S1 (2012) - [j10]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): S3 (2012) - [j9]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): S7 (2012) - 2011
- [c4]Songjian Lu, Xinghua Lu:
A graph model and an exact algorithm for finding transcription factor modules. BCB 2011: 355-359 - 2010
- [j8]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): 79-87 (2010) - [j7]Bo Jin, Xinghua Lu:
Identifying informative subsets of the Gene Ontology with information bottleneck methods. Bioinform. 26(19): 2445-2451 (2010)
2000 – 2009
- 2009
- [j6]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): 15 (2009) - 2008
- [j5]Bo Jin, Brian Muller, Chengxiang Zhai, Xinghua Lu:
Multi-label literature classification based on the Gene Ontology graph. BMC Bioinform. 9 (2008) - 2006
- [j4]Bin Zheng, David C. McLean Jr., Xinghua Lu:
Identifying biological concepts from a protein-related corpus with a probabilistic topic model. BMC Bioinform. 7: 58 (2006) - [j3]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: 101 (2006) - [j2]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): 526-535 (2006) - [c3]Yanan Fang, Xinghua Lu, Huaizu Li:
Real-time Health Information Acquisition and Alarm System Based on Bluetooth and GPRS Communication Technologies. SMC 2006: 4717-4721 - 2005
- [c2]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 - 2004
- [j1]Xinghua Lu, Chengxiang Zhai, Vanathi Gopalakrishnan
, Bruce G. Buchanan:
Automatic annotation of protein motif function with Gene Ontology terms. BMC Bioinform. 5: 122 (2004) - [c1]Xinghua Lu, Milos Hauskrecht, Roger S. Day:
Modeling Cellular Processes with Variational Bayesian Cooperative Vector Quantizer. Pacific Symposium on Biocomputing 2004: 533-544
Coauthor Index
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