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2020 – today
- 2024
[c16]Fan Liu, Yahui Zhao, Guozhe Jin, Xinghua Lu, Zhejun Jin, Rongyi Cui:
A Hierarchical Korean-Chinese Machine Translation Model Based on Sentence Structure Segmentation. IJCNN 2024: 1-8- 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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last updated on 2024-09-21 02:38 CEST by the dblp team
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