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ORCIDXiaohua Hu 0001
Xiaohua Tony Hu
Person information
- affiliation: Drexel University, College of Computing & Informatics, Philadelphia, PA, USA
- affiliation: DMW Software, San Mateo, CA, USA
- affiliation (PhD 1995): University of Regina, Department of Computer Science, SK, Canada
Other persons with the same name
- Xiaohua Hu (aka: Xiao-hua Hu) — disambiguation page
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2020 – today
- 2024
[j107]Xintong Zhao, Kyle Langlois, Jacob Furst, Yuan An, Xiaohua Hu, Diego A. Gómez-Gualdrón, Fernando J. Uribe-Romo, Jane Greenberg:
Research evolution of metal organic frameworks: A scientometric approach with human-in-the-loop. J. Data Inf. Sci. 9(3): 44-64 (2024)- [j106]Weizhong Zhao
, Junze Wu, Shujie Luo, Xingpeng Jiang, Tingting He, Xiaohua Hu:
Subtask-Aware Representation Learning for Predicting Antibiotic Resistance Gene Properties via Gating-Controlled Mechanism. IEEE J. Biomed. Health Informatics 28(7): 4348-4360 (2024) - 2023
- [j105]Weizhong Zhao, Xueling Yuan, Xianjun Shen, Xingpeng Jiang, Chuan Shi, Tingting He, Xiaohua Hu:
Improving drug-drug interactions prediction with interpretability via meta-path-based information fusion. Briefings Bioinform. 24(2) (2023) - [j104]Jiamin Chen, Jianliang Gao, Tengfei Lyu, Babatounde Moctard Oloulade, Xiaohua Hu:
AutoMSR: Auto Molecular Structure Representation Learning for Multi-label Metabolic Pathway Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3430-3439 (2023) - [j103]Weizhong Zhao, Wenjie Yao, Xingpeng Jiang, Tingting He, Chuan Shi, Xiaohua Hu:
An Explainable Framework for Predicting Drug-Side Effect Associations via Meta-Path-Based Feature Learning in Heterogeneous Information Network. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3635-3647 (2023) - [c256]Rob Fleur, Addy Ireland, Xintong Zhao, Scott McClellan, Eric Paltoo, Tianyu Su, Channyung Lee, Yuan An, Xiaohua Hu, Elif Ertekin, Jane Greenberg:
Investigating Data Reusability in Density Functional Theory Studies. IEEE Big Data 2023: 6143-6144 - [c255]Xintong Zhao, Kyle Langlois, Jacob Furst, Scott McClellan, Rob Fleur, Yuan An, Xiaohua Hu, Fernando J. Uribe-Romo, Diego A. Gómez-Gualdrón, Jane Greenberg:
When LLM Meets Material Science: An Investigation on MOF Synthesis Labeling. IEEE Big Data 2023: 6320-6321 - [c254]Zheng Chen, Ziyan Jiang, Fan Yang, Zhankui He, Yupeng Hou, Eunah Cho, Julian J. McAuley, Aram Galstyan, Xiaohua Hu, Jie Yang:
The First Workshop on Personalized Generative AI @ CIKM 2023: Personalization Meets Large Language Models. CIKM 2023: 5267-5270 - [e32]Jingrui He, Themis Palpanas, Xiaohua Hu, Alfredo Cuzzocrea, Dejing Dou, Dominik Slezak, Wei Wang, Aleksandra Gruca, Jerry Chun-Wei Lin, Rakesh Agrawal:
IEEE International Conference on Big Data, BigData 2023, Sorrento, Italy, December 15-18, 2023. IEEE 2023, ISBN 979-8-3503-2445-7 [contents] - [i12]Yuan An, Jane Greenberg, Alexander Kalinowski, Xintong Zhao, Xiaohua Hu, Fernando J. Uribe-Romo, Kyle Langlois, Jacob Furst, Diego A. Gómez-Gualdrón:
Knowledge Graph Question Answering for Materials Science (KGQA4MAT): Developing Natural Language Interface for Metal-Organic Frameworks Knowledge Graph (MOF-KG). CoRR abs/2309.11361 (2023) - [i11]Xintong Zhao, Kyle Langlois, Jacob Furst, Scott McClellan, Xiaohua Hu, Yuan An, Diego A. Gómez-Gualdrón, Fernando J. Uribe-Romo, Jane Greenberg:
Metadata for Scientific Experiment Reporting: A Case Study in Metal-Organic Frameworks. CoRR abs/2310.12417 (2023) - 2022
- [j102]Weizhong Zhao, Shujie Luo, Haifang Wu, Xingpeng Jiang, Tingting He, Xiaohua Hu:
A multi-label learning framework for predicting antibiotic resistance genes via dual-view modeling. Briefings Bioinform. 23(3) (2022) - [c253]Jiamin Chen, Zhenpeng Wu, Jianliang Gao, Xiaohua Hu:
Glycan Immunogenicity Prediction with Efficient Automatic Graph Neural Network. BIBM 2022: 309-314 - [c252]Yuan An, Jane Greenberg, Xiaohua Hu, Alexander Kalinowski, Xiao Fang, Xintong Zhao, Scott McClellan, Fernando J. Uribe-Romo, Kyle Langlois, Jacob Furst, Diego A. Gómez-Gualdrón, Fernando Fajardo-Rojas, Katherine Ardila, Semion Saikin, Corey A. Harper, Ron Daniel Jr.:
Exploring Pre-Trained Language Models to Build Knowledge Graph for Metal-Organic Frameworks (MOFs). IEEE Big Data 2022: 3651-3658 - [c251]Yue Zhang, Wanying Ding, Ran Xu, Xiaohua Hu:
Visual Emotion Representation Learning via Emotion-Aware Pre-training. IJCAI 2022: 1679-1685 - [c250]Jane Greenberg, Scott McClellan, Xintong Zhao, Elijah J. Kellner, David Venator, Haoran Zhao, Jiacheng Shen, Xiaohua Hu, Yuan An:
Materials Science Ontology Design with an Analytico-Synthetic Facet Analysis Framework. MTSR 2022: 211-221 - [e31]Donald A. Adjeroh, Qi Long, Xinghua Mindy Shi, Fei Guo, Xiaohua Hu, Srinivas Aluru, Giri Narasimhan, Jianxin Wang, Mingon Kang, Ananda Mondal, Jin Liu:
IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022, Las Vegas, NV, USA, December 6-8, 2022. IEEE 2022, ISBN 978-1-6654-6819-0 [contents] - [e30]Shusaku Tsumoto, Yukio Ohsawa, Lei Chen, Dirk Van den Poel, Xiaohua Hu, Yoichi Motomura, Takuya Takagi, Lingfei Wu, Ying Xie, Akihiro Abe, Vijay Raghavan:
IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, December 17-20, 2022. IEEE 2022, ISBN 978-1-6654-8045-1 [contents] - [i10]Yuan An, Jane Greenberg, Xintong Zhao, Xiaohua Hu, Scott McClellan, Alexander Kalinowski, Fernando J. Uribe-Romo, Kyle Langlois, Jacob Furst, Diego A. Gómez-Gualdrón, Fernando Fajardo-Rojas, Katherine Ardila:
Building Open Knowledge Graph for Metal-Organic Frameworks (MOF-KG): Challenges and Case Studies. CoRR abs/2207.04502 (2022) - [i9]Jane Greenberg, Scott McClellan, Xintong Zhao, Elijah J. Kellner, David Venator, Haoran Zhao, Jiacheng Shen, Xiaohua Hu, Yuan An:
Materials Science Ontology Design with an Analytico-Synthetic Facet Analysis Framework. CoRR abs/2211.10407 (2022) - 2021
- [j101]Xintong Zhao, Jane Greenberg, Vanessa Meschke, Eric Toberer, Xiaohua Hu:
An exploratory analysis: extracting materials science knowledge from unstructured scholarly data. Electron. Libr. 39(3): 469-485 (2021) - [j100]Weizhong Zhao, Dandan Fang, Jinyong Zhang, Yao Zhao, Xiaowei Xu, Xingpeng Jiang, Xiaohua Hu, Tingting He:
An effective framework for semistructured document classification via hierarchical attention model. Int. J. Intell. Syst. 36(9): 5161-5183 (2021) - [j99]Jianliang Gao, Ling Tian, Tengfei Lv, Jianxin Wang, Bo Song, Xiaohua Hu:
Protein2Vec: Aligning Multiple PPI Networks with Representation Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 18(1): 240-249 (2021) - [j98]Xiao-Fei Zhang, Le Ou-Yang, Ting Yan, Xiaohua Tony Hu, Hong Yan:
A Joint Graphical Model for Inferring Gene Networks Across Multiple Subpopulations and Data Types. IEEE Trans. Cybern. 51(2): 1043-1055 (2021) - [c249]Xintong Zhao, Steven Lopez, Semion Saikin, Xiaohua Hu, Jane Greenberg:
Text to Insight: Accelerating Organic Materials Knowledge Extraction via Deep Learning. ASIST 2021: 558-562 - [c248]Jiamin Chen, Jianliang Gao, Tengfei Lyu, Babatounde Moctard Oloulade, Xiaohua Hu:
Multi-label Metabolic Pathway Prediction with Auto Molecular Structure Representation Learning. BIBM 2021: 171-176 - [c247]Yue Zhang, Wanying Ding, Ran Xu, Xiaohua Hu:
Towards Explainable Visual Emotion Understanding. IEEE BigData 2021: 1155-1162 - [c246]Xintong Zhao, Jane Greenberg, Yuan An, Xiaohua Tony Hu:
Fine-Tuning BERT Model for Materials Named Entity Recognition. IEEE BigData 2021: 3717-3720 - [c245]Xintong Zhao, Jane Greenberg, Scott McClellan, Yong-Jie Hu, Steven Lopez, Semion Saikin, Xiaohua Hu, Yuan An:
Knowledge Graph-Empowered Materials Discovery. IEEE BigData 2021: 4628-4632 - [e29]Yixin Chen, Heiko Ludwig, Yicheng Tu, Usama M. Fayyad, Xingquan Zhu, Xiaohua Hu, Suren Byna, Xiong Liu, Jianping Zhang, Shirui Pan, Vagelis Papalexakis, Jianwu Wang, Alfredo Cuzzocrea, Carlos Ordonez:
2021 IEEE International Conference on Big Data (Big Data), Orlando, FL, USA, December 15-18, 2021. IEEE 2021, ISBN 978-1-6654-3902-2 [contents] - [i8]Jane Greenberg, Xintong Zhao, Joseph Adair, Joan P. Boone, Xiaohua Tony Hu:
HIVE-4-MAT: Advancing the Ontology Infrastructure for Materials Science. CoRR abs/2101.07960 (2021) - [i7]Xintong Zhao, Steven Lopez, Semion Saikin, Xiaohua Hu, Jane Greenberg:
Text to Insight: Accelerating Organic Materials Knowledge Extraction via Deep Learning. CoRR abs/2109.12758 (2021) - 2020
- [j97]Jinli Zhang, Zongli Jiang, Zheng Chen, Xiaohua Hu:
WMGCN: Weighted Meta-Graph Based Graph Convolutional Networks for Representation Learning in Heterogeneous Networks. IEEE Access 8: 40744-40754 (2020) - [j96]Jinli Zhang, Zongli Jiang, Yongping Du, Tong Li, Yida Wang, Xiaohua Hu:
Hierarchy construction and classification of heterogeneous information networks based on RSDAEf. Data Knowl. Eng. 127: 101790 (2020) - [j95]Rui Yuan, Le Ou-Yang, Xiaohua Hu, Xiao-Fei Zhang:
Identifying Gene Network Rewiring Using Robust Differential Graphical Model with Multivariate $t$t-Distribution. IEEE ACM Trans. Comput. Biol. Bioinform. 17(2): 712-718 (2020) - [j94]Yuanyuan Ma, Xiaohua Hu, Tingting He, Xingpeng Jiang:
Clustering and Integrating of Heterogeneous Microbiome Data by Joint Symmetric Nonnegative Matrix Factorization with Laplacian Regularization. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 788-795 (2020) - [j93]Le Ou-Yang, Xiao-Fei Zhang, Xiaohua Hu, Hong Yan:
Differential Network Analysis via Weighted Fused Conditional Gaussian Graphical Model. IEEE ACM Trans. Comput. Biol. Bioinform. 17(6): 2162-2169 (2020) - [c244]Jianliang Gao, Ling Tian, Yuxin Liu, Jianxin Wang, Zhao Li, Xiaohua Hu:
Multi-task Based Few-Shot Learning for Disease Similarity Measurement. BIBM 2020: 263-268 - [c243]Jane Greenberg, Xintong Zhao, Joseph Adair, Joan P. Boone, Xiaohua Tony Hu:
HIVE-4-MAT: Advancing the Ontology Infrastructure for Materials Science. MTSR 2020: 297-307 - [e28]Taesung Park, Young-Rae Cho, Xiaohua Hu, Illhoi Yoo, Hyun Goo Woo, Jianxin Wang, Julio C. Facelli, Seungyoon Nam, Mingon Kang:
IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020, Virtual Event, South Korea, December 16-19, 2020. IEEE 2020, ISBN 978-1-7281-6215-7 [contents] - [e27]Xintao Wu, Chris Jermaine, Li Xiong, Xiaohua Hu, Olivera Kotevska, Siyuan Lu, Weija Xu, Srinivas Aluru, Chengxiang Zhai, Eyhab Al-Masri, Zhiyuan Chen, Jeff Saltz:
2020 IEEE International Conference on Big Data (IEEE BigData 2020), Atlanta, GA, USA, December 10-13, 2020. IEEE 2020, ISBN 978-1-7281-6251-5 [contents] - [i6]Zheng Chen, Xinli Yu, Yuan Ling, Xiaohua Hu:
Neural Stochastic Block Model & Scalable Community-Based Graph Learning. CoRR abs/2005.07855 (2020)
2010 – 2019
- 2019
- [j92]Xiao-Fei Zhang, Le Ou-Yang, Shuo Yang, Xiaohua Hu, Hong Yan:
DiffNetFDR: differential network analysis with false discovery rate control. Bioinform. 35(17): 3184-3186 (2019) - [j91]Xiao-Fei Zhang, Le Ou-Yang, Shuo Yang, Xing-Ming Zhao, Xiaohua Hu, Hong Yan:
EnImpute: imputing dropout events in single-cell RNA-sequencing data via ensemble learning. Bioinform. 35(22): 4827-4829 (2019) - [j90]Lei Chen, Hong Song, Chi Wang, Yutao Cui, Jian Yang, Xiaohua Hu, Le Zhang:
Liver tumor segmentation in CT volumes using an adversarial densely connected network. BMC Bioinform. 20-S(16): 587:1-587:13 (2019) - [j89]Jia-Juan Tu, Le Ou-Yang, Xiaohua Hu, Xiao-Fei Zhang:
Inferring Gene Network Rewiring by Combining Gene Expression and Gene Mutation Data. IEEE ACM Trans. Comput. Biol. Bioinform. 16(3): 1042-1048 (2019) - [c242]Jinli Zhang, Xiaohua Hu, Zongli Jiang, Bo Song, Wei Quan, Zheng Chen:
Predicting Disease-related RNA Associations based on Graph Convolutional Attention Network. BIBM 2019: 177-182 - [c241]Ling Tian, Jianliang Gao, Jianxin Wang, Ying Wang, Bo Song, Xiaohua Hu:
Measuring Disease Similarity Based on Multiple Heterogeneous Disease Information Networks. BIBM 2019: 228-231 - [c240]Lei Chen, Hong Song, Qiang Li, Yutao Cui, Jian Yang, Xiaohua Tony Hu:
Liver Segmentation in CT Images Using a Non-Local Fully Convolutional Neural Network. BIBM 2019: 639-642 - [c239]Huiru Zeng, Xiaohua Hu, Leiting Chen, Chuan Zhou, Yang Wen:
Weakly Supervised Learning of Recurrent Residual ConvNets for Pancreas Segmentation in CT Scans. BIBM 2019: 1409-1415 - [c238]Dandan Fang, Jinyong Zhang, Weizhong Zhao, Xiaowei Xu, Xingpeng Jiang, Xiaohua Hu, Tingting He:
Hierarchical-Document-Structure-Aware Attention with Adaptive Cost Sensitive Learning for Biomedical Document Classification. IEEE BigData 2019: 1096-1102 - [c237]Wei Quan, Jinli Zhang, Xiaohua Tony Hu:
End-to-End Joint Opinion Role Labeling with BERT. IEEE BigData 2019: 2438-2446 - [e26]Illhoi Yoo, Jinbo Bi, Xiaohua Hu:
2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019, San Diego, CA, USA, November 18-21, 2019. IEEE 2019, ISBN 978-1-7281-1867-3 [contents] - [e25]Chaitanya K. Baru, Jun Huan, Latifur Khan, Xiaohua Hu, Ronay Ak, Yuanyuan Tian, Roger S. Barga, Carlo Zaniolo, Kisung Lee, Yanfang (Fanny) Ye:
2019 IEEE International Conference on Big Data (IEEE BigData), Los Angeles, CA, USA, December 9-12, 2019. IEEE 2019, ISBN 978-1-7281-0858-2 [contents] - [i5]Xinli Yu, Zheng Chen, Wei-Shih Yang, Xiaohua Hu, Erjia Yan:
Large-Scale Joint Topic, Sentiment & User Preference Analysis for Online Reviews. CoRR abs/1901.04993 (2019) - 2018
- [j88]Xiao-Fei Zhang, Le Ou-Yang, Shuo Yang, Xiaohua Hu, Hong Yan:
DiffGraph: an R package for identifying gene network rewiring using differential graphical models. Bioinform. 34(9): 1571-1573 (2018) - [j87]Jianliang Gao, Bo Song, Xiaohua Hu, Fengxia Yan, Jianxin Wang:
ConnectedAlign: a PPI network alignment method for identifying conserved protein complexes across multiple species. BMC Bioinform. 19-S(9): 129-135 (2018) - [j86]Xianchao Zhu, Xianjun Shen, Xingpeng Jiang, Kaiping Wei, Tingting He, Yuanyuan Ma, Jiaqi Liu, Xiaohua Hu:
Nonlinear expression and visualization of nonmetric relationships in genetic diseases and microbiome data. BMC Bioinform. 19-S(20): 37-48 (2018) - [j85]Ting Xu, Le Ou-Yang, Xiaohua Hu, Xiao-Fei Zhang:
Identifying Gene Network Rewiring by Integrating Gene Expression and Gene Network Data. IEEE ACM Trans. Comput. Biol. Bioinform. 15(6): 2079-2085 (2018) - [c236]Chi Wang, Hong Song, Lei Chen, Qiang Li, Jian Yang, Xiaohua Tony Hu, Le Zhang:
Automatic Liver Segmentation Using Multi-plane Integrated Fully Convolutional Neural Networks. BIBM 2018: 1-6 - [c235]Dan Liu, Xiaohua Hu, Tingting He, Xingpeng Jiang:
Virus-host Association Prediction by using Kernelized Logistic Matrix Factorization on Heterogeneous Networks. BIBM 2018: 108-113 - [c234]Bo Song, Jianliang Gao, Hongliang Du, Zheng Chen, Xiaohua Hu:
Aligning Multiple PPI Networks with Representation Learning on Networks. BIBM 2018: 136-141 - [c233]Yingiun Ma, Limin Yu, Tingting He, Xiaohua Hu, Xingpeng Jiang:
Prediction of Long Non-coding RNA-protein Interaction through Kernel Soft-neighborhood Similarity. BIBM 2018: 193-196 - [c232]Yingiun Ma, Leixin Ge, Yuanyuan Ma, Xingpeng Jiang, Tingting He, Xiaohua Hu:
Kernel Soft-neighborhood Network Fusion for MiRNA-Disease Interaction Prediction. BIBM 2018: 197-200 - [c231]Xianjun Shen, Xue Gong, Xingpeng Jiang, Jincai Yang, Tingting He, Xiaohua Hu:
High-order Organization of Weighted Microbial Interaction Network. BIBM 2018: 206-209 - [c230]Qiang Zhu, Min Pan, Lei Liu, Bojing Li, Tingting He, Xingpeng Jiang, Xiaohua Hu:
An Ensemble Feature Selection Method Based on Deep Forest for Microbiome-Wide Association Studies. BIBM 2018: 248-253 - [c229]Qiang Zhu, Qing Zhu, Min Pan, Xingpeng Jiang, Xiaohua Hu, Tingting He:
The Phylogenetic Tree based Deep Forest for Metagenomic Data Classification. BIBM 2018: 279-282 - [c228]Xusheng Li, Xiaoyan Wang, Ran Zhong, Duo Zhong, Tingting He, Xiaohua Hu, Xingpeng Jiang:
A Hybrid Deep Learning Framework for Bacterial Named Entity Recognition. BIBM 2018: 428-433 - [c227]Yan Yan, Jiangyong Wei, Xiaohua Hu, Tianhai Tian:
Inference of protein-protein networks for triple-negative breast cancer using single-patient proteomic data. BIBM 2018: 2174-2181 - [c226]Zheng Chen, Xinli Yu, Yuan Ling, Bo Song, Wei Quan, Xiaohua Hu, Erjia Yan:
Correlated Anomaly Detection from Large Streaming Data. IEEE BigData 2018: 982-992 - [c225]Wei Quan, Zheng Chen, Jianliang Gao, Xiaohua Tony Hu:
Comparative Study of CNN and LSTM based Attention Neural Networks for Aspect-Level Opinion Mining. IEEE BigData 2018: 2141-2150 - [c224]Yuanyuan Ma, Xiaohua Hu, Tingting He, Xianchao Zhu, Meijun Zhou, Xingpeng Jiang:
ESNMF: Evolutionary Symmetric Nonnegative Matrix Factorization for Dissecting Dynamic Microbial Networks. ICIC (3) 2018: 7-18 - [c223]Sisi Chen, Dan Liu, Jia Zheng, Pingtao Chen, Xiaohua Hu, Xingpeng Jiang:
Predicting Microbe-Disease Association by Kernelized Bayesian Matrix Factorization. ICIC (2) 2018: 389-394 - [c222]Xianjun Shen, Huan Zhu, Xingpeng Jiang, Xiaohua Hu, Jincai Yang:
A Novel Approach Based on Bi-Random Walk to Predict Microbe-Disease Associations. ICIC (3) 2018: 746-752 - [c221]Wei Quan, Zheng Chen, Xiaohua Tony Hu:
BANN: A Framework for Aspect-Level Opinion Mining. ICIT 2018: 224-228 - [e24]Huiru Jane Zheng, Zoraida Callejas, David Griol, Haiying Wang, Xiaohua Hu, Harald H. H. W. Schmidt, Jan Baumbach, Julie Dickerson, Le Zhang:
IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018, Madrid, Spain, December 3-6, 2018. IEEE Computer Society 2018, ISBN 978-1-5386-5488-0 [contents] - [e23]Naoki Abe, Huan Liu, Calton Pu, Xiaohua Hu, Nesreen K. Ahmed, Mu Qiao, Yang Song, Donald Kossmann, Bing Liu, Kisung Lee, Jiliang Tang, Jingrui He, Jeffrey S. Saltz:
IEEE International Conference on Big Data (IEEE BigData 2018), Seattle, WA, USA, December 10-13, 2018. IEEE 2018, ISBN 978-1-5386-5035-6 [contents] - [i4]Zheng Chen, Yong Zhang, Yue Shang, Xiaohua Hu:
Unifying Topic, Sentiment & Preference in an HDP-Based Rating Regression Model for Online Reviews. CoRR abs/1812.07805 (2018) - [i3]Zheng Chen, Xinli Yu, Chi Zhang, Jin Zhang, Cui Lin, Bo Song, Jianliang Gao, Xiaohua Hu, Wei-Shih Yang, Erjia Yan:
Fast Botnet Detection From Streaming Logs Using Online Lanczos Method. CoRR abs/1812.07810 (2018) - [i2]Zheng Chen, Xinli Yu, Yuan Ling, Bo Song, Wei Quan, Xiaohua Hu, Erjia Yan:
Correlated Anomaly Detection from Large Streaming Data. CoRR abs/1812.09387 (2018) - 2017
- [j84]Ye-tian Fan, Xiwei Tang, Xiaohua Hu, Wei Wu, Qing Ping:
Prediction of essential proteins based on subcellular localization and gene expression correlation. BMC Bioinform. 18(S-13): 13-21 (2017) - [j83]Jincai Yang, Huichao Gu, Xingpeng Jiang, Qingyang Huang, Xiaohua Hu, Xianjun Shen:
Identifying the Risky SNP of Osteoporosis with ID3-PEP Decision Tree Algorithm. Complex. 2017: 9194801:1-9194801:8 (2017) - [j82]Mengwen Liu, Wanying Ding, Dae Hoon Park, Yi Fang, Rui Yan, Xiaohua Hu:
Which used product is more sellable? A time-aware approach. Inf. Retr. J. 20(2): 81-108 (2017) - [j81]Mengwen Liu, Yi Fang, Alexander G. Choulos, Dae Hoon Park, Xiaohua Hu:
Product review summarization through question retrieval and diversification. Inf. Retr. J. 20(6): 575-605 (2017) - [j80]Yong Zhang, Xiaohua Hu, Xingpeng Jiang:
Multi-View Clustering of Microbiome Samples by Robust Similarity Network Fusion and Spectral Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. 14(2): 264-271 (2017) - [j79]Xingpeng Jiang, Xiaohua Hu, Weiwei Xu:
Microbiome Data Representation by Joint Nonnegative Matrix Factorization with Laplacian Regularization. IEEE ACM Trans. Comput. Biol. Bioinform. 14(2): 353-359 (2017) - [c220]Chunyu Zhao, Yizhou Zang, Wei Quan, Xiaohua Hu, Ahmet Sacan:
HIV1-human protein-protein interaction prediction based on interface architecture similarity. BIBM 2017: 97-100 - [c219]Xiaoyan Wang, Xingpeng Jiang, Mengwen Liu, Tingting He, Xiaohua Hu:
Bacterial named entity recognition based on dictionary and conditional random field. BIBM 2017: 439-444 - [c218]Xianjun Shen, Xianchao Zhu, Xingpeng Jiang, Tingting He, Xiaohua Hu:
Visualization of disease relationships by multiple maps t-SNE regularization based on Nesterov accelerated gradient. BIBM 2017: 604-607 - [c217]Jincai Yang, Fuli Zhang, Xingpeng Jiang, Xianjun Shen, Xiaohua Hu:
Classify and identify the risky loci of type 2 diabetes with computational method. BIBM 2017: 1331-1337 - [c216]Jincai Yang, Chunjie Guo, Xingpeng Jiang, Xiaohua Hu, Xianjun Shen:
Systematic characterization and prediction of tumor-associated genes in mouse using microrna. BIBM 2017: 1338-1344 - [c215]Dan Liu, Xingpeng Jiang, Huiru Jane Zheng, Bo Xie, Haiying Wang, Tingting He, Xiaohua Hu:
The modularity of microbial interaction network in healthy human saliva: Stability and specificity. BIBM 2017: 2048-2053 - [c214]Alex S. Felmeister, Angela J. Waanders, Sarah E. S. Leary, Jeff Stevens, Jennifer L. Mason, Rachel Teneralli, Xiaohua Hu, L. Charles Bailey:
Preliminary exploratory data analysis of simulated national clinical data research network for future use in annotation of a rare tumor biobanking initiative. BIBM 2017: 2098-2104 - [c213]Xinli Yu, Zheng Chen, Wei-Shih Yang, Xiaohua Hu, Erjia Yan, Guangrong Li:
Large-scale joint topic, sentiment & user preference analysis for online reviews. IEEE BigData 2017: 847-856 - [c212]Zheng Chen, Xinli Yu, Chi Zhang, Jin Zhang, Cui Lin, Bo Song, Jianliang Gao, Xiaohua Hu, Wei-Shih Yang, Erjia Yan:
Fast botnet detection from streaming logs using online lanczos method. IEEE BigData 2017: 1408-1417 - [c211]Dongbo Zhou, Hao Li, Sannyuya Liu, Bo Song, Xiaohua Tony Hu:
A map-based visual analysis method for patterns discovery of mobile learning in education with big data. IEEE BigData 2017: 3482-3491 - [c210]Xianjun Shen, Xianchao Zhu, Xingpeng Jiang, Li Gao, Tingting He, Xiaohua Hu:
Visualization of non-metric relationships by adaptive learning multiple maps t-SNE regularization. IEEE BigData 2017: 3882-3887 - [c209]Yizhou Zang, Xiaohua Hu:
Heterogeneous knowledge transfer via domain regularization for improving cross-domain collaborative filtering. IEEE BigData 2017: 3968-3974 - [c208]Zheng Chen, Xinli Yu, Bo Song, Jianliang Gao, Xiaohua Hu, Wei-Shih Yang:
Community-Based Network Alignment for Large Attributed Network. CIKM 2017: 587-596 - [c207]Yuan Ling, Yuan An, Mengwen Liu, Sadid A. Hasan, Ye-tian Fan, Xiaohua Hu:
Integrating extra knowledge into word embedding models for biomedical NLP tasks. IJCNN 2017: 968-975 - [c206]Yizhou Zang, Xiaohua Hu:
LKT-FM: A Novel Rating Pattern Transfer Model for Improving Non-overlapping Cross-Domain Collaborative Filtering. ECML/PKDD (2) 2017: 641-656 - [c205]Jianliang Gao, Bo Song, Zheng Chen, Weimao Ke, Wanying Ding, Xiaohua Hu:
Counter Deanonymization Query: H-index Based k-Anonymization Privacy Protection for Social Networks. SIGIR 2017: 809-812 - [e22]Xiaohua Hu, Chi-Ren Shyu, Yana Bromberg, Jean Gao, Yang Gong, Dmitry Korkin, Illhoi Yoo, Huiru Jane Zheng:
2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017, Kansas City, MO, USA, November 13-16, 2017. IEEE Computer Society 2017, ISBN 978-1-5090-3050-7 [contents] - [e21]Jian-Yun Nie, Zoran Obradovic, Toyotaro Suzumura, Rumi Ghosh, Raghunath Nambiar, Chonggang Wang, Hui Zang, Ricardo Baeza-Yates, Xiaohua Hu, Jeremy Kepner, Alfredo Cuzzocrea, Jian Tang, Masashi Toyoda:
2017 IEEE International Conference on Big Data (IEEE BigData 2017), Boston, MA, USA, December 11-14, 2017. IEEE Computer Society 2017, ISBN 978-1-5386-2715-0 [contents] - 2016
- [j78]