• Professor, Electrical & Computer Engineering
  • Affiliated Faculty, Computer Science and Engineering
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Xiaoning Qian

Educational Background

  • Ph.D., Yale University

Research Interests

    • Bioinformatics:
      • Analysis and intervention in biological networks;
      • Functional data analysis on genomic and proteomic datasets.
    • Biomedical image processing and analysis:
      • Image segmentation and robust boundary finding;
      • Shape-based similarity retrieval in multimedia databases.
    • Bayesian methods:
      • Bayesian learning
      • Optimal experimental design

Selected Publications

  • Randy Ardywibowo, Zepeng Huo, Zhangyang Wang, Bobak Mortazavi, Shuai Huang, Xiaoning Qian. "VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty," The 39th International Conference on Machine Learning (ICML), 2022.
  • Guang Zhao, Edward Dougherty, Byung-Jun Yoon, Francis Alexander, Xiaoning Qian. "Uncertainty-aware active learning for optimal Bayesian classifier," The 9th International Conference on Learning Representations (ICLR), 2021. Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna R Narayanan, Xiaoning Qian. "BayReL: Bayesian Relational learning for multi-omics data integration," The 34th Conference on Neural Information Processing Systems (NeurIPS), 2020.
  • Siamak Zamani Dadaneh, Xiaoning Qian, Mingyuan Zhou. "BNP-Seq: Bayesian nonparametric differential expression analysis of sequencing count data," Journal of the American Statistical Association , 113(521):81--94, 2018. Shaogang Ren, Shuai Huang, Jieping Ye, Xiaoning Qian. "Safe feature screening for generalized LASSO," IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(12):2992--3006, 2018.
  • Xiaoning Qian and Edward R. Dougherty. "Bayesian regression with network prior: Optimal Bayesian filtering perspective," IEEE Transactions on Signal Processing, 64(23): 6243-6253, 2016. Yijie Wang and Xiaoning Qian. "Functional module identification in protein interaction networks by interaction patterns," Bioinformatics, 30(1): 81-93, 2014.
  • Byung-Jun Yoon, Xiaoning Qian, Edward R Dougherty, "Quantifying the objective cost of uncertainty in complex dynamic systems," IEEE Transactions on Signal Processing, 61(9): 2256--2266, 2013.
  • Byung-Jun Yoon, Xiaoning Qian, Sayed Mohammad Ebrahim Sahraeian, "Comparative analysis of biological networks using Markov chains and hidden Markov models," IEEE Signal Processing Magazine, Special Issue on Genomic and Proteomic Signal Processing in Biomolecular Pathways, 29(1): 22--34, 2012.
  • Xiaoning Qian, Noushin Ghaffari, Ivan Ivanov and Edward R. Dougherty, "State reduction for network intervention in probabilistic Boolean networks," ยท Bioinformatics, 26(24): 3098--3104, 2010.
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