Xia Ning

Research output

Research output per year 2005 2015 2017 2018 2019 2020 2021 2022 2023 2024

• 41 Article
• 34 Conference contribution
• 4 Comment/debate
• 3 Conference article
• 8 More
  • 3 Review article
  • 2 Chapter
  • 2 Paper
  • 1 Editorial

Research output per year

Research output per year

Search results

• 2023

  A Multi-Layered GRU Model for COVID-19 Patient Representation and Phenotyping from Large-Scale EHR Data

  Saha, A., Samaan, M., Peng, B. & Ning, X., Sep 3 2023, ACM-BCB 2023 - 14th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics. Association for Computing Machinery, Inc, 21. (ACM-BCB 2023 - 14th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  Open Access

  • Electronic scales 100%
  • Electronic Health Records 62%
  • Resource allocation 51%
  • Health 44%
  • Pandemics 17%

• HAM: Hybrid Associations Models for Sequential Recommendation (Extended abstract)

  Peng, B., Ren, Z., Parthasarathy, S. & Ning, X., 2023, Proceedings - 2023 IEEE 39th International Conference on Data Engineering, ICDE 2023. IEEE Computer Society, p. 3873-3874 2 p. (Proceedings - International Conference on Data Engineering; vol. 2023-April).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Knowledge engineering 100%
  • Recurrent neural networks 82%
  • Deep learning 71%

• T-Cell Receptor Optimization with Reinforcement Learning and Mutation Polices for Precision Immunotherapy

  Chen, Z., Min, M. R., Guo, H., Cheng, C., Clancy, T. & Ning, X., 2023, Research in Computational Molecular Biology - 27th Annual International Conference, RECOMB 2023, Proceedings. Tang, H. (ed.). Springer Science and Business Media Deutschland GmbH, p. 174-191 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13976 LNBI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • T Cell Receptor 100%
  • Immunotherapy 87%
  • T-cells 84%
  • Law enforcement 63%
  • Learning 51%
  1 Scopus citations
• 2022

  Mediation Analysis and Mixed-Effects Models for the Identification of Stage-specific Imaging Genetics Patterns in Alzheimer's Disease

  Pala, D., Lee, B., Ning, X., Kim, D. & Shen, L., 2022, Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022. Adjeroh, D., Long, Q., Shi, X., Guo, F., Hu, X., Aluru, S., Narasimhan, G., Wang, J., Kang, M., Mondal, A. M. & Liu, J. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 2667-2673 7 p. (Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  Open Access

  • Alzheimer's Disease 100%
  • Genetics 82%
  • Imaging 73%
  • Mediation 55%
  • Alzheimer Disease 47%
• 2021

  Flame: A Self-Adaptive Auto-Labeling System for Heterogeneous Mobile Processors

  Liu, J., Liu, J., Xie, Z., Ning, X. & Li, D., 2021, 6th ACM/IEEE Symposium on Edge Computing, SEC 2021. Institute of Electrical and Electronics Engineers Inc., p. 80-93 14 p. (6th ACM/IEEE Symposium on Edge Computing, SEC 2021).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Labeling 100%
  • Mobile computing 74%
  • Labels 49%
  • Semi-supervised learning 17%
  • Transfer learning 17%
  1 Scopus citations
• 2019

  Deep learning for high-order drug-drug interaction prediction

  Peng, B. & Ning, X., Sep 4 2019, ACM-BCB 2019 - Proceedings of the 10th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics. Association for Computing Machinery, Inc, p. 197-206 10 p. (ACM-BCB 2019 - Proceedings of the 10th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  Open Access

  • Drug interactions 100%
  • Deep Learning 87%
  • Drug Interactions 62%
  • Deep learning 56%
  • Pharmaceutical Preparations 26%
  9 Scopus citations

• Grade prediction based on cumulative knowledge and co-taken courses

  Ren, Z., Ning, X., Lan, A. S. & Rangwala, H., 2019, EDM 2019 - Proceedings of the 12th International Conference on Educational Data Mining. Lynch, C. F., Merceron, A., Desmarais, M. & Nkambou, R. (eds.). International Educational Data Mining Society, p. 158-167 10 p. (EDM 2019 - Proceedings of the 12th International Conference on Educational Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Students 100%
  • Educational technology 40%
  • Alarm systems 30%
  • Factorization 26%
  • Education 22%
  21 Scopus citations

• Grade prediction with neural collaborative filtering

  Ren, Z., Ning, X., Lan, A. S. & Rangwala, H., Oct 2019, Proceedings - 2019 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2019. Singh, L., De Veaux, R., Karypis, G., Bonchi, F. & Hill, J. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1-10 10 p. 8964170. (Proceedings - 2019 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2019).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Collaborative Filtering 100%
  • Collaborative filtering 78%
  • Prediction 56%
  • Matrix Factorization 56%
  • Students 51%
  15 Scopus citations

• Improving information retrieval from electronic health records using dynamic and multi-collaborative filtering

  Fan, Z., Burgun, E., Schleyer, T. & Ning, X., Jun 2019, 2019 IEEE International Conference on Healthcare Informatics, ICHI 2019. Institute of Electrical and Electronics Engineers Inc., 8904731. (2019 IEEE International Conference on Healthcare Informatics, ICHI 2019).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Collaborative filtering 100%
  • Electronic Health Records 90%
  • Information retrieval 85%
  • Information Storage and Retrieval 80%
  • Health 64%
  3 Scopus citations

• Prioritization of cognitive assessments in Alzheimer's disease via learning to rank using brain morphometric data

  Peng, B., Yao, X., Risacher, S. L., Saykin, A. J., Shen, L. & Ning, X., May 2019, 2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8834618. (2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Learning to Rank 100%
  • Alzheimer's Disease 90%
  • Learning to rank 78%
  • Biomarkers 69%
  • Prioritization 58%
  2 Scopus citations

• Prioritizing Amyloid Imaging Biomarkers in Alzheimer’s Disease via Learning to Rank

  for the ADNI, 2019, Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy - 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Proceedings. Zhu, D., Yan, J., Huang, H., Shen, L., Thompson, P. M., Westin, C-F., Pennec, X., Joshi, S., Nielsen, M., Sommer, S., Fletcher, T. & Durrleman, S. (eds.). Springer, p. 139-148 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11846 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Learning to rank 82%
  • Alzheimer's Disease 82%
  • Biomarkers 75%
  • Imaging 65%
  • Learning 53%
  1 Scopus citations
• 2018

  Deep r-th root of rank supervised joint binary embedding for multivariate time series retrieval

  Song, D., Xia, N., Cheng, W., Chen, H. & Tao, D., Jul 19 2018, KDD 2018 - Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 2229-2238 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Time series 100%
  • Hamming distance 14%
  • Long short-term memory 13%
  • Wearable technology 12%
  • Sensors 11%
  38 Scopus citations

• Enhance E-learning through data mining for personalized intervention

  Acheson, L. L. & Ning, X., 2018, CSEDU 2018 - Proceedings of the 10th International Conference on Computer Supported Education. McLaren, B. M., Reilly, R., Zvacek, S. & Uhomoibhi, J. (eds.). SciTePress, p. 461-465 5 p. (CSEDU 2018 - Proceedings of the 10th International Conference on Computer Supported Education; vol. 1).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  Open Access

  • E-learning 100%
  • Data mining 62%
  • Students 55%
  • instructor 27%
  • learning 25%
  4 Scopus citations
• 2017

  Differential compound prioritization via bi-directional selectivity push with power

  Liu, J. & Ning, X., Aug 20 2017, ACM-BCB 2017 - Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics. Association for Computing Machinery, Inc, p. 394-399 6 p. (ACM-BCB 2017 - Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Bioassay 100%
  • Drug Discovery 89%
  • Biological Assay 46%
  • Computer Simulation 41%
  • Drug-Related Side Effects and Adverse Reactions 41%
  2 Scopus citations

• Pattern Discovery from Directional High-Order Drug-Drug Interaction Relations

  Ning, X., Schleyer, T., Shen, L. & Li, L., Sep 8 2017, Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017. Cummins, M., Facelli, J., Meixner, G., Giraud-Carrier, C. & Nakajima, H. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 154-162 9 p. 8031143. (Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Drug Interactions 100%
  • Pharmaceutical Preparations 42%
  • Drug-Related Side Effects and Adverse Reactions 13%
  • Public Health 10%
  5 Scopus citations

• Polygravity: Traffic usage accountability via coarse-grained measurements in multi-tenant data centers

  Baek, H., Jin, C., Jiang, G., Lumezanu, C., Van Der Merwe, J., Xia, N. & Xu, Q., Sep 24 2017, SoCC 2017 - Proceedings of the 2017 Symposium on Cloud Computing. Association for Computing Machinery, Inc, p. 309-322 14 p. (SoCC 2017 - Proceedings of the 2017 Symposium on Cloud Computing).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Accountability 100%
  • Data Center 93%
  • Traffic 63%
  • Domain Knowledge 53%
  • Relative Error 25%
  1 Scopus citations

• Predicting High-Order Directional Drug-Drug Interaction Relations

  Ning, X., Shen, L. & Li, L., Sep 8 2017, Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017. Cummins, M., Facelli, J., Meixner, G., Giraud-Carrier, C. & Nakajima, H. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 556-561 6 p. 8031212. (Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Drug Interactions 100%
  • Pharmaceutical Preparations 42%
  • Electronic Health Records 26%
  • Drug-Related Side Effects and Adverse Reactions 23%
  • Datasets 20%
  4 Scopus citations
• 2016

  Kernelized sparse self-representation for clustering and recommendation

  Bian, X., Li, F. & Ning, X., 2016, 16th SIAM International Conference on Data Mining 2016, SDM 2016. Venkatasubramanian, S. C. & Meira, W. (eds.). Society for Industrial and Applied Mathematics Publications, p. 10-17 8 p. (16th SIAM International Conference on Data Mining 2016, SDM 2016).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  Open Access

  • Collaborative filtering 100%
  • Recommender systems 88%
  2 Scopus citations

• PInfer: Learning to infer concurrent request paths from system kernel events

  Xu, H., Ning, X., Zhang, H., Rhee, J. & Jiang, G., Sep 21 2016, Proceedings - 2016 IEEE International Conference on Autonomic Computing, ICAC 2016. Giese, H., Kounev, S. & Liu, J. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 199-208 10 p. 7573132. (Proceedings - 2016 IEEE International Conference on Autonomic Computing, ICAC 2016).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Concurrent 100%
  • Learning 82%
  • Path 61%
  • kernel 61%
  • Tracers 52%
  5 Scopus citations
• 2015

  Discover and tame long-running idling processes in enterprise systems

  Wang, J., Qian, Z., Li, Z., Wu, Z., Rhee, J., Ning, X., Liu, P. & Jiang, G., Apr 14 2015, ASIACCS 2015 - Proceedings of the 10th ACM Symposium on Information, Computer and Communications Security. Association for Computing Machinery, p. 543-554 12 p. (ASIACCS 2015 - Proceedings of the 10th ACM Symposium on Information, Computer and Communications Security).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Autocorrelation 100%
  • Industry 82%
  • Feedback 59%
  2 Scopus citations

• Hierarchical sparse dictionary learning

  Bian, X., Ning, X. & Jiang, G., 2015, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015. Costa, V. S., Soares, C., Appice, A., Appice, A., Rodrigues, P. P., Costa, V. S., Soares, C., Gama, J., Jorge, A., Rodrigues, P. P., Gama, J., Costa, V. S., Jorge, A., Appice, A., Rodrigues, P. P., Gama, J., Appice, A., Soares, C., Jorge, A., Gama, J., Rodrigues, P. P., Costa, V. S., Soares, C. & Jorge, A. (eds.). Springer Verlag, p. 687-700 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9285).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  Open Access

  • Dictionary 100%
  • Glossaries 79%
  • Learning 74%
  • Sparse Coding 23%
  • High-dimensional Data 14%

• Latent space tracking from heterogeneous data with an application for anomaly detection

  Huang, J. & Ning, X., 2015, Advances in Knowledge Discovery and Data Mining - 19th Pacific-Asia Conference, PAKDD 2015, Proceedings. Ho, T-B., Motoda, H., Motoda, H., Lim, E-P., Cao, T., Cheung, D. & Zhou, Z-H. (eds.). Springer Verlag, p. 429-441 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9077).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Anomaly Detection 100%
  • Anomaly detection 66%
  • Big data 57%
  • Streaming 34%
  • Streaming Data 22%

• Multi-perspective modeling for click event prediction

  Lin, T. C. & Ning, X., Sep 16 2015, Proceedings of the International ACM Recommender Systems Challenge 2015. Association for Computing Machinery, Inc, 2813520. (Proceedings of the International ACM Recommender Systems Challenge 2015).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Classifiers 100%
  • Semi-supervised learning 86%
  • Fusion reactions 56%

• Multi-task multi-dimensional hawkes processes for modeling event sequences

  Luo, D., Xu, H., Zhen, Y., Ning, X., Zha, H., Yang, X. & Zhang, W., 2015, IJCAI 2015 - Proceedings of the 24th International Joint Conference on Artificial Intelligence. Wooldridge, M. & Yang, Q. (eds.). International Joint Conferences on Artificial Intelligence, p. 3685-3691 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2015-January).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  47 Scopus citations
• 2013

  FISM: Factored item similarity models for Top-N recommender systems

  Kabbur, S., Ning, X. & Karypis, G., Aug 11 2013, KDD 2013 - 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Parekh, R., He, J., Inderjit, D. S., Bradley, P., Koren, Y., Ghani, R., Senator, T. E., Grossman, R. L. & Uthurusamy, R. (eds.). Association for Computing Machinery, p. 659-667 9 p. 2487589. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. Part F128815).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Latent Class Analysis 100%
  • Recommender systems 77%
  • Set theory 49%
  574 Scopus citations
• 2012

  Sparse linear methods with side information for top-N recommendations

  Ning, X. & Karypis, G., 2012, RecSys'12 - Proceedings of the 6th ACM Conference on Recommender Systems. p. 155-162 8 p. (RecSys'12 - Proceedings of the 6th ACM Conference on Recommender Systems).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Recommender systems 100%
  • Agglomeration 86%
  • Electronic commerce 57%
  105 Scopus citations

• Sparse Linear Methods with Side Information for top-N recommendations

  Ning, X. & Karypis, G., May 21 2012, WWW'12 - Proceedings of the 21st Annual Conference on World Wide Web Companion. p. 581-582 2 p. (WWW'12 - Proceedings of the 21st Annual Conference on World Wide Web Companion).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Recommender systems 100%
  4 Scopus citations
• 2011

  Improved machine learning models for predicting selective compounds

  Ning, X., Walters, M. & Karypis, G., 2011, 2011 ACM Conference on Bioinformatics, Computational Biology and Biomedicine, BCB 2011. p. 106-115 10 p. (2011 ACM Conference on Bioinformatics, Computational Biology and Biomedicine, BCB 2011).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Machine Learning 100%
  • Machine learning 64%
  • Drug Discovery 29%
  • Multi-task learning 29%
  • Computational methods 23%
  1 Scopus citations

• Semi-supervised convolution graph kernels for relation extraction

  Ning, X. & Qi, Y., 2011, Proceedings of the 11th SIAM International Conference on Data Mining, SDM 2011. Society for Industrial and Applied Mathematics Publications, p. 510-521 12 p. (Proceedings of the 11th SIAM International Conference on Data Mining, SDM 2011).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Convolution 100%
  • Semantics 49%
  • Syntactics 14%
  3 Scopus citations

• SLIM: Sparse LInear Methods for top-N recommender systems

  Ning, X. & Karypis, G., Dec 1 2011, Proceedings - 11th IEEE International Conference on Data Mining, ICDM 2011. p. 497-506 10 p. 6137254. (Proceedings - IEEE International Conference on Data Mining, ICDM).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Recommender systems 100%
  • Agglomeration 43%
  594 Scopus citations
• 2010

  Semi-supervised abstraction-augmented string kernel for multi-level bio-relation extraction

  Kuksa, P., Qi, Y., Bai, B., Collobert, R., Weston, J., Pavlovic, V. & Ning, X., 2010, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2010, Proceedings. PART 2 ed. p. 128-144 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6322 LNAI, no. PART 2).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  Open Access

  • Abstraction 100%
  • Strings 76%
  • kernel 62%
  • Corpus 41%
  • Semantic Similarity 29%
  6 Scopus citations
• 2009

  The set classification problem and solution methods

  Ning, X. & Karypis, G., 2009, Society for Industrial and Applied Mathematics - 9th SIAM International Conference on Data Mining 2009, Proceedings in Applied Mathematics 133. p. 843-854 12 p. (Society for Industrial and Applied Mathematics - 9th SIAM International Conference on Data Mining 2009, Proceedings in Applied Mathematics; vol. 2).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Classification Problems 100%
  • Comprehensive Evaluation 32%
  • Class 26%
  • Experimental Evaluation 26%
  • Classification Algorithm 26%
  7 Scopus citations
• 2008

  The set classification problem and solution methods

  Ning, X. & Karypis, G., 2008, Proceedings - IEEE International Conference on Data Mining Workshops, ICDM Workshops 2008. p. 720-729 10 p. 4733998. (Proceedings - IEEE International Conference on Data Mining Workshops, ICDM Workshops 2008).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Set theory 100%
  • Labels 66%
  11 Scopus citations
• 2005

  Scalable parallel quadrilateral mesh generation coupled with mesh partitioning

  Chen, J., Zheng, Y. & Ning, X., 2005, Proceedings - Sixth International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2005. p. 966-970 5 p. 1579075. (Parallel and Distributed Computing, Applications and Technologies, PDCAT Proceedings; vol. 2005).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Quadrilateral Mesh 100%
  • Mesh Generation 99%
  • Mesh generation 86%
  • Partitioning 70%
  • Mesh 56%
  2 Scopus citations