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Xiaoning Qian

Associate Professor, ECE @ Texas A&M


Publications (Google Scholars)

Research Group

Software

Teaching




MS 3128, TAMU
College Station, TX 77843
Office: WERC 205J
Phone: +1 979-845-6268
xqian@ece.tamu.edu

Selected Recent Publications

A more complete list of publications can be referred to Google Scholars
[Note] Supervised students/post-docs are delineated with an asterisk (*).

2021

  • [ICLR'21a] 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), May, 2021.
  • [ICLR'21b] Xinjie Fan, Shujian Zhang, Korawat Tanwisuth, Xiaoning Qian, Mingyuan Zhou, "Contextual dropout: an efficient sample-dependent dropout," The 9th International Conference on Learning Representations (ICLR 2021), May, 2021.
  • [AISTAT'21] Guang Zhao*, Edward Dougherty, Byung-Jun Yoon, Francis Alexander, Xiaoning Qian, "Bayesian active learning by soft mean objective cost of uncertainty," The 24th International Conference on Artificial Intelligence and Statistics (AISTATS 2021),, April, 2021.
  • [AAAI'21] Ziyu Xiang*, Mingzhou Fan*, Guillermo Vazquez Tovar, William Trehern, Byung-Jun Yoon, Xiaofeng Qian, Raymundo Arroyave, Xiaoning Qian. "Physics-constrained automatic feature engineering for predictive modeling in materials science," The 35th AAAI Conference on Artificial Intelligence (AAAI 2021), February, 2021.
  • [Bioinformatics'21] Shahin Boluki*, Xiaoning Qian, Edward R. Dougherty. "Optimal Bayesian supervised domain adaptation for RNA sequencing data," Bioinformatics, in press, doi: 10.1093/bioinformatics/btab228, 2021.

2020

  • [NeurIPS'20] 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), December, 2020.

  • [BMVC'20] Qing Jin*, Lingjie Yang, Zhenyu Liao, Xiaoning Qian. "Neural network quantization with scale-adjusted training," The 31st British Machine Vision Conference, (BMVC 2020), September, 2020.

  • [ICML'20a] Randy Ardywibowo*, Shahin Boluki*, Xinyu Gong, Zhangyang (Atlas) Wang, Xiaoning Qian. "NADS: Neural Architecture Distribution Search for uncertainty awareness," The 37th International Conference on Machine Learning (ICML 2020), July, 2020.

  • [ICML'20b] Arman Hasanzadeh, Ehsan Hajiramezanali*, Shahin Boluki*, Mingyuan Zhou, Nick Duffield, Krishna R Narayanan, Xiaoning Qian. "Bayesian graph neural networks with adaptive connection sampling," The 37th International Conference on Machine Learning (ICML 2020), July, 2020.

  • [UAI'20] Siamak Zamani Dadaneh*, Shahin Boluki*, Mingzhang Yin, Mingyuan Zhou, Xiaoning Qian. "Pairwise supervised Hashing with Bernoulli Variational Auto-Encoder and self-control gradient estimator" The International Conference on Uncertainty in Artificial Intelligence (UAI 2020), August, 2020.

  • [AISTAT'20a] Shahin Boluki*, Randy Ardywibowo*, Siamak Zamani Dadaneh*, Mingyuan Zhou, Xiaoning Qian. "Learnable Bernoulli dropout for Bayesian deep learning," The 23rd International Conference on Artificial Intelligence and Statistics (AISTATS 2020), June, 2020.

  • [AISTAT'20b] Zepeng Huo, Arash Pakbin, Xiaohan Chen, Nathan Hurley, Ye Yuan, Xiaoning Qian, Zhangyang (Atlas) Wang, Shuai Huang, Bobak Mortazavi. "Uncertainty quantification for deep context-aware mobile activity recognition and unknown context discovery," The 23rd International Conference on Artificial Intelligence and Statistics (AISTATS 2020), June, 2020.

  • [ICASSP'20a] Siamak Zamani Dadaneh*, Shahin Boluki*, Mingyuan Zhou, Xiaoning Qian. "ARSM gradient estimator for supervised learning to rank," The 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), May, 2020.

  • [ICASSP'20b] Ehsan Hajiramezanali*, Arman Hasanzadeh, Nick Duffield, Krishna R Narayanan, Mingyuan Zhou, Xiaoning Qian. "Semi-Implicit Stochastic Recurrent Neural Networks," The 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), May, 2020. *Final list of Best Student Paper Award*

  • [TSP'20] Guang Zhao*, Xiaoning Qian, Byung-Jun Yoon, Francis J. Alexander, Edward R. Dougherty. "Model-based robust filtering and experimental design for stochastic differential equation systems," IEEE Transactions on Signal Processing (TSP), 68: 3849-3859, 2020.

2019

  • [NeurIPS'19a] Ehsan Hajiramezanali*, Arman Hasanzadeh, Nick Duffield, Krishna R Narayanan, Mingyuan Zhou, Xiaoning Qian. "Variational Graph Recurrent Neural Networks," The 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), December, 2019.

  • [NeurIPS'19b] Arman Hasanzadeh, Ehsan Hajiramezanali*, Nick Duffield, Krishna R Narayanan, Mingyuan Zhou, Xiaoning Qian. "Semi-Implicit Graph Variational Auto-Encoders," The 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), December, 2019.

  • [CVPR'19] Wuyang Chen, Ziyu Jiang, Zhangyang (Atlas) Wang, Kexin Cui, Xiaoning Qian. "Collaborative global-local networks for memory-efficient segmentation of ultra-high resolution images," The IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019), June, 2019.

  • [AISTAT'19] Randy Ardywibowo*, Guang Zhao*, Zhangyang (Atlas) Wang, Bobak Mortazavi, Shuai Huang, Xiaoning Qian. "Adaptive activity monitoring with uncertainty quantification in switching Gaussian Process models," The 22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019), April, 2019.

  • [Bioinformatics'19] Chun-Chi (Aky) Chen*, Hyundoo Jeong*, Xiaoning Qian, Byung-Jun Yoon. "TOPAS: network-based structural alignment of RNA sequences," Bioinformatics, in press, doi: 10.1093/bioinformatics/btz001, 2019.

  • [TIP'19] Chung-Chi (Charles) Tsai*, Weizhi Li*, Kuang-Jui Hsu, Xiaoning Qian, Yen-Yu Lin. "Image co-saliency detection and co-segmentation via progressive joint optimization," IEEE Transactions on Image Processing (TIP), 28(1):56--71, 2019.

2018

  • [NeurIPS'18] Ehsan Hajiramezanali*, Siamak Zamani Dadaneh*, Alireza Karbalayghareh*, Mingyuan Zhou, Xiaoning Qian. "Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data," The 32nd Conference on Neural Information Processing Systems (NeurIPS 2018), December, 2018.

  • [ECCV'18] Kuang-Jui Hsu, Chung-Chi (Charles) Tsai*, Yen-Yu Lin, Xiaoning Qian, Yung-Yu Chuang. "Unsupervised CNN-based co-saliency detection with graphical optimization," The 15th European Conference on Computer Vision (ECCV 2018), September, 2018.

  • [ISMB'18] Siamak Zamani Dadaneh*, Mingyuan Zhou, Xiaoning Qian. "Covariate-dependent negative binomial factor analysis of RNA sequencing data," The 26th International Conference on Intelligent Systems for Molecular Biology (ISMB 2018), July, 2018.

  • [PRM'18] Anjana Talapatra, Shahin Boluki*, T Duong, Xiaoning Qian, Edward R. Dougherty, Raymundo Arroyave. "Autonomous efficient experiment design for materials discovery with Bayesian model averaging," Physical Review Materials (PRM), 2(11):113803, 2018.

  • [Bioinformatics'18] Siamak Zamani Dadaneh*, Mingyuan Zhou, Xiaoning Qian. "Bayesian negative binomial regression for differential expression with confounding factors," Bioinformatics, 34(19):3349--3356, 2018.

  • [MD'18] Alexandros Solomou, Guang Zhao*, Shahin Boluki*, Jobin K Joy, Xiaoning Qian, Ibrahim Karaman, Raymundo Arroyave, Dimitris C Lagoudas. "Multi-objective Bayesian materials discovery: Application on the discovery of precipitation strengthened NiTi shape memory alloys through micromechanical modeling," Materials & Design (MD), 160:810--817, 2018.

  • [TPAMI'18] Shaogang Ren*, Shuai Huang, Jieping Ye, Xiaoning Qian. "Safe feature screening for generalized LASSO," IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 40(12):2992--3006, 2018.

  • [TSP'18a] Siamak Zamani Dadaneh*, Edward R. Dougherty, Xiaoning Qian. "Optimal Bayesian classification with missing values," IEEE Transactions on Signal Processing (TSP), 66(16):4182--4192, 2018.

  • [TSP'18b] Alireza Karbalayghareh*, Xiaoning Qian, Edward R. Dougherty. "Optimal Bayesian transfer learning," IEEE Transactions on Signal Processing (TSP), 66(14):3724--3739, 2018.

  • [JASA'18] Siamak Zamani Dadaneh*, Xiaoning Qian, Mingyuan Zhou. "BNP-Seq: Bayesian nonparametric differential expression analysis of sequencing count data," Journal of the American Statistical Association (JASA), 113(521):81--94, 2018.

  • [PR'18] Lucia Xiaopeng Sui*, Easton Li Xu*, Xiaoning Qian, Tie Liu. "Convex clustering with metric learning," Pattern Recognition (PR), 81:575--584, 2018.

  • [TSP'18c] Roozbeh Dehghannasiri*, Mohammad Shahrokh Esfahani, Xiaoning Qian, Edward R. Dougherty. "Optimal Bayesian Kalman filtering with prior update," IEEE Transactions on Signal Processing (TSP), 66(8):1982--1996, 2018.

© January 2021 Xiaoning Qian