Xiaoning Qian

Jeffrey P. Krischer, Ping Xu, Xiaoning Qian, 2012, Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

Analytic formulation of optimal structural intervention strategies in Boolean Networks

E. Dougherty, Xiaoning Qian, 2008, 2008 IEEE International Workshop on Genomic Signal Processing and Statistics.

Probabilistic Best Subset Selection by Gradient-Based Optimization

Nhat Ho, Bowei Yan, Mingyuan Zhou, 2020, 2006.06448.

A novel subgradient-based optimization algorithm for blockmodel functional module identification

Xiaoning Qian, Yijie Wang, 2013, BMC Bioinformatics.

Optimal Decision Making in High-Throughput Virtual Screening Pipelines

Francis J. Alexander, E. Dougherty, S. Jha, 2021, 2109.11683.

A Collaborative Learning Framework for Estimating Many Individualized Regression Models in a Heterogeneous Population

Shan Liu, Eunshin Byon, Xiaoning Qian, 2018, IEEE Transactions on Reliability.

Noise-tolerant deep learning for histopathological image segmentation

Xiaoning Qian, Weizhi Li, Jim Jing-Yan Ji, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Physics-constrained Automatic Feature Engineering for Predictive Modeling in Materials Science

Xiaoning Qian, Byung-Jun Yoon, Xiaofeng Qian, 2021, AAAI.

Contextual Dropout: An Efficient Sample-Dependent Dropout Module pdf

Xiaoning Qian, Mingyuan Zhou, Xinjie Fan, 2021, ICLR.

Scalable optimal Bayesian classification of single-cell trajectories under regulatory model uncertainty

Edward R. Dougherty, Xiaoning Qian, Ulisses Braga-Neto, 2018, BMC Genomics.

Optimal hybrid sequencing and assembly: Feasibility conditions for accurate genome reconstruction and cost minimization strategy

Xiaoning Qian, Chun-Chi Chen, Byung-Jun Yoon, 2017, Comput. Biol. Chem..

Uncertainty-aware Active Learning for Optimal Bayesian Classifier

Edward R. Dougherty, Xiaoning Qian, Byung-Jun Yoon, 2021, ICLR.

Recursive Structure Similarity: A Novel Algorithm for Graph Clustering

Wei Xiong, Ruoming Jin, Xiaoning Qian, 2018, 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI).

Prognostics of Surgical Site Infections using Dynamic Health Data

William B. Lober, Xiaoning Qian, Yan Jin, 2016, J. Biomed. Informatics.

Network-Based Methods to Identify Highly Discriminating Subsets of Biomarkers

Xiaoning Qian, Bo Zeng, Seyed Javad Sajjadi, 2012, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Geometric Affinity Propagation for Clustering With Network Knowledge

Xiaoning Qian, Byung-Jun Yoon, Omar Maddouri, 2021, IEEE Transactions on Knowledge and Data Engineering.

Probabilistic Best Subset Selection via Gradient-Based Optimization

Xiaoning Qian, Mingyuan Zhou, Nhat Ho, 2020, 2006.06448.

SURVFIT: Doubly sparse rule learning for survival data

Xiaoning Qian, Shuai Huang, Xiangyu Chang, 2021, J. Biomed. Informatics.

Emerging Research in the Analysis and Modeling of Gene Regulatory Networks

Xiaoning Qian, Ranadip Pal, Ivan Ivanov, 2016 .

RNAdetect: efficient computational detection of novel non-coding RNAs

Xiaoning Qian, Chun-Chi Chen, Byung-Jun Yoon, 2018, Bioinform..

Intervention in gene regulatory networks via greedy control policies based on long-run behavior

Edward R. Dougherty, Xiaoning Qian, Ivan Ivanov, 2009, BMC Systems Biology.

Correction: A Rule-Based Prognostic Model for Type 1 Diabetes by Identifying and Synthesizing Baseline Profile Patterns

K. Vehik, J. Krischer, Hye-Seung Lee, 2014, PLoS ONE.

A CoD-based reduction algorithm for designing stationary control policies on Boolean networks

Edward R. Dougherty, Xiaoning Qian, Ivan Ivanov, 2010, Bioinform..

Constructing Pathway-Based Priors within a Gaussian Mixture Model for Bayesian Regression and Classification

Edward R. Dougherty, Xiaoning Qian, Shahin Boluki, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

SimCD: Simultaneous Clustering and Differential expression analysis for single-cell transcriptomic data

Siamak Zamani Dadaneh, Xiaoning Qian, S. Z. Dadaneh, 2021, 2104.01512.

Variational Graph Recurrent Neural Networks

Mingyuan Zhou, K. Narayanan, N. Duffield, 2019, NeurIPS.

BayReL: Bayesian Relational Learning for Multi-omics Data Integration

K. Narayanan, N. Duffield, Xiaoning Qian, 2020, NeurIPS.

Experiment Design Frameworks for Accelerated Discovery of Targeted Materials Across Scales

Dimitris C. Lagoudas, Edward R. Dougherty, Shahin Boluki, 2019, Front. Mater..

Covariate-dependent negative binomial factor analysis of RNA sequencing data

Xiaoning Qian, Mingyuan Zhou, Siamak Zamani Dadaneh, 2018, Bioinform..

Feature selection with interactions in logistic regression models using multivariate synergies for a GWAS application

Shuguang Cui, Qilian Yu, Xiaoning Qian, 2017, BMC Genomics.

Bayesian negative binomial regression for differential expression with confounding factors

Xiaoning Qian, Mingyuan Zhou, Siamak Zamani Dadaneh, 2018, Bioinform..

Differential Expression Analysis of Dynamical Sequencing Count Data with a Gamma Markov Chain

Xiaoning Qian, Sing-Hoi Sze, Ehsan Hajiramezanali, 2018, 1803.02527.

Bayesian gamma-negative binomial modeling of single-cell RNA sequencing data

Xiaoning Qian, Mingyuan Zhou, Sing-Hoi Sze, 2019, BMC Genomics.

Selected articles from the 2012 IEEE international workshop on genomic signal processing and statistics (GENSIPS 2012)

Yufei Huang, Xiaoning Qian, Yidong Chen, 2014, TCBB.

Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery pdf

Xiaohan Chen, Bobak Mortazavi, Xiaoning Qian, 2020, AISTATS.

Adaptive Group Testing with Mismatched Models

Edward R. Dougherty, Xiaoning Qian, Byung-Jun Yoon, 2021, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors

Edward R. Dougherty, Xiaoning Qian, Shahin Boluki, 2017, BMC Bioinformatics.

Bayesian Regression With Network Prior: Optimal Bayesian Filtering Perspective

Edward R. Dougherty, Xiaoning Qian, E. Dougherty, 2016, IEEE Transactions on Signal Processing.

Quantifying the Multi-Objective Cost of Uncertainty

Edward R. Dougherty, Xiaoning Qian, Byung-Jun Yoon, 2020, IEEE Access.

Artificial Intelligence Methods for Surgical Site Infection: Impacts on Detection, Monitoring, and Decision Making.

Zhangyang Wang, Xiaoning Qian, Shuai Huang, 2019, Surgical infections.

Experimental Design via Generalized Mean Objective Cost of Uncertainty

Edward R. Dougherty, Xiaoning Qian, Shahin Boluki, 2018, IEEE Access.

Distribution of C-Peptide and Its Determinants in North American Children at Risk for Type 1 Diabetes

J. Krischer, Xiaoning Qian, D. Schatz, 2014, Diabetes Care.

Supervised logistic principal component analysis for pathway based genome-wide association studies

Xiaoning Qian, Jianhua Z. Huang, Meng Lu, 2012, BCB.

NADS: Neural Architecture Distribution Search for Uncertainty Awareness

Xiaoning Qian, Xinyu Gong, Zhangyang Wang, 2020, ICML.

Safe Feature Screening for Generalized LASSO

Xiaoning Qian, Shuai Huang, Jieping Ye, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Bayesian Graph Neural Networks with Adaptive Connection Sampling

Xiaoning Qian, Mingyuan Zhou, Ehsan Hajiramezanali, 2020, ICML.

Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images

Xiaoning Qian, Zhangyang Wang, Ziyu Jiang, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Segmentation guided local proposal fusion for co-saliency detection

Xiaoning Qian, Chung-Chi Tsai, Yen-Yu Lin, 2017, 2017 IEEE International Conference on Multimedia and Expo (ICME).

Image Co-Saliency Detection and Co-Segmentation via Progressive Joint Optimization

Xiaoning Qian, Chung-Chi Tsai, Yen-Yu Lin, 2019, IEEE Transactions on Image Processing.

Unsupervised CNN-Based Co-saliency Detection with Graphical Optimization

Xiaoning Qian, Yung-Yu Chuang, Chung-Chi Tsai, 2018, ECCV.

Semi-Implicit Graph Variational Auto-Encoders

Xiaoning Qian, Mingyuan Zhou, Ehsan Hajiramezanali, 2019, NeurIPS.

Contour-based hidden Markov model to segment 2D ultrasound images

Xiaoning Qian, Byung-Jun Yoon, Xiaoning Qian, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Cone-Beam Computed Tomography (CBCT) Segmentation by Adversarial Learning Domain Adaptation

Steve B. Jiang, Ming Yang, Xiaoning Qian, 2019, MICCAI.

The Influence of the Blockchain Technology on Trust in construction Supply Chain Management

Xiaoning Qian, 2019 .

Tumor stratification by a novel graph-regularized bi-clique finding algorithm

Xiaoning Qian, Amin Ahmadi Adl, Xiaoning Qian, 2015, Comput. Biol. Chem..

Comparative Analysis of Biological Networks: Hidden Markov model and Markov chain-based approach

Xiaoning Qian, Byung-Jun Yoon, Sayed Mohammad Ebrahim Sahraeian, 2012, IEEE Signal Processing Magazine.

Autonomous efficient experiment design for materials discovery with Bayesian model averaging

Xiaoning Qian, Shahin Boluki, Anjana Talapatra, 2018, Physical Review Materials.

Accelerated search for BaTiO3-based piezoelectrics with vertical morphotropic phase boundary using Bayesian learning

Xiaoning Qian, Edward R Dougherty, Turab Lookman, 2016, Proceedings of the National Academy of Sciences.

How Influential Are You: Detecting Influential Bloggers in a Blogging Community

Xiaoning Qian, Adriana Iamnitchi, John Skvoretz, 2012, SocInfo.

Selected research articles from the 2018 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC)

Tamer Kahveci, R. Pal, Xiaoning Qian, 2019, BMC Bioinformatics.

Early detection and risk assessment for chronic disease with irregular longitudinal data analysis

Xiaoning Qian, Kai He, Shuai Huang, 2019, J. Biomed. Informatics.

Selected research articles from the 2017 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC)

Tamer Kahveci, R. Pal, Xiaoning Qian, 2018, BMC Bioinformatics.

Selected Research Articles from the 2019 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC)

Tamer Kahveci, R. Pal, Xiaoning Qian, 2020, BMC Genomics.

Optimal clustering with missing values

Edward R. Dougherty, Xiaoning Qian, Shahin Boluki, 2018, BMC Bioinformatics.

Supervised categorical principal component analysis for genome-wide association analyses

Xiaoning Qian, Jianhua Z. Huang, Meng Lu, 2014, BMC Genomics.

CHI: A contemporaneous health index for degenerative disease monitoring using longitudinal measurements

Yu Cheng, William B. Lober, Qiang Meng, 2017, J. Biomed. Informatics.

Structural Intervention and External Control for Markovian Regulatory Network Models

Xiaoning Qian, Ranadip Pal, R. Pal, 2019, Biotechnology.

Learnable Bernoulli Dropout for Bayesian Deep Learning pdf

Xiaoning Qian, Mingyuan Zhou, Shahin Boluki, 2020, AISTATS.

Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors

E. Dougherty, M. S. Esfahani, Xiaoning Qian, 2017, BMC Bioinformatics.

Robust importance sampling for error estimation in the context of optimal Bayesian transfer learning

Francis J. Alexander, E. Dougherty, Xiaoning Qian, 2021, Patterns.

Optimal Bayesian supervised domain adaptation for RNA sequencing data

Edward R. Dougherty, Xiaoning Qian, Shahin Boluki, 2021, Bioinform..

Optimal Bayesian Transfer Learning for Count Data

Xiaoning Qian, Alireza Karbalayghareh, Edward Russell Dougherty, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Optimal Bayesian Classification With Missing Values

Edward R. Dougherty, Xiaoning Qian, Siamak Zamani Dadaneh, 2018, IEEE Transactions on Signal Processing.

Towards an Autonomous Efficient Materials Discovery Framework: An Example of Optimal Experiment Design Under Model Uncertainty

Edward R. Dougherty, Xiaoning Qian, Shahin Boluki, 2018 .

Optimal Bayesian Transfer Learning

Edward R. Dougherty, Xiaoning Qian, Alireza Karbalayghareh, 2018, IEEE Transactions on Signal Processing.

Principal Component Analysis for Exponential Family Data

Kai He, Jianhua Z. Huang, Meng Lu, 2018 .

Accurate prediction of protein structural classes using functional domains and predicted secondary structure sequences

Xiaoning Qian, Abbas Nowzari-Dalini, Bin Xue, 2012, Journal of biomolecular structure & dynamics.

A Comparison of Rule-based Analysis with Regression Methods in Understanding the Risk Factors for Study Withdrawal in a Pediatric Study

E. Bonifacio, J. Ilonen, S. Virtanen, 2016, Scientific Reports.

A computational framework for finding functional modules across multiple biological networks

Yijie Wang, Xiaoning Qian, Xiaoning Qian, 2015, BCB.

Co-segmentation of multiple images through random walk on graphs

Yijie Wang, Xiaoning Qian, Byung-Jun Yoon, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Robust mutant strain design by pessimistic optimization

Xiaoning Qian, Bo Zeng, Meltem Apaydin, 2017, BMC Genomics.

Adaptive bi-level programming for optimal gene knockouts for targeted overproduction under phenotypic constraints

Xiaoning Qian, Bo Zeng, Shaogang Ren, 2013, BMC Bioinformatics.

A reliable alternative of OptKnock for desirable mutant microbial strains

Xiaoning Qian, Bo Zeng, Meltem Apaydin, 2016, 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

A computationally efficient solution strategy for optimal gene knockouts for targeted overproduction

Xiaoning Qian, Shaogang Ren, Bo Zeng, 2015, BCB.

Is OptKnock a reliable strategy for desirable mutants ?

Xiaoning Qian, Bo Zeng, Meltem Apaydin, 2015 .

Semi-Implicit Stochastic Recurrent Neural Networks

Mingyuan Zhou, K. Narayanan, N. Duffield, 2019, IEEE International Conference on Acoustics, Speech, and Signal Processing.

Effective comparative analysis of protein-protein interaction networks by measuring the steady-state network flow using a Markov model

Xiaoning Qian, Byung-Jun Yoon, Hyundoo Jeong, 2016, BMC Bioinformatics.

Safe Active Feature Selection for Sparse Learning pdf

Xiaoning Qian, Jianhua Z. Huang, Shaogang Ren, 2018, ArXiv.

Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data

Xiaoning Qian, Mingyuan Zhou, Ehsan Hajiramezanali, 2018, NeurIPS.

Arsm Gradient Estimator for Supervised Learning to Rank

Siamak Zamani Dadaneh, Mingyuan Zhou, Xiaoning Qian, 2019, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Intrinsically Bayesian robust Karhunen-Loève compression

Edward R. Dougherty, Xiaoning Qian, Roozbeh Dehghannasiri, 2018, Signal Process..

Optimal experimental design in canonical expansions with applications to signal compression

Edward R. Dougherty, Xiaoning Qian, Roozbeh Dehghannasiri, 2016, 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Convex clustering with metric learning

Tie Liu, Xiaoning Qian, Li Xu, 2018, Pattern Recognit..

Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation response

Francis J. Alexander, E. Dougherty, Gilchan Park, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Optimal clustering with missing values

Edward R. Dougherty, Xiaoning Qian, Shahin Boluki, 2018, BMC Bioinformatics.

Intervention in Gene Regulatory Networks via Phenotypically Constrained Control Policies Based on Long-Run Behavior

Edward R. Dougherty, Xiaoning Qian, Xiaoning Qian, 2012, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Quantifying the Objective Cost of Uncertainty in Complex Dynamical Systems

Edward R. Dougherty, Xiaoning Qian, Byung-Jun Yoon, 2013, IEEE Transactions on Signal Processing.

Fast Exact Computation of Expected HyperVolume Improvement pdf

Xiaoning Qian, Guang Zhao, Raymundo Arroyave, 2018, ArXiv.

Deep Co-Saliency Detection via Stacked Autoencoder-Enabled Fusion and Self-Trained CNNs

Xiaoning Qian, Yung-Yu Chuang, Chung-Chi Tsai, 2020, IEEE Transactions on Multimedia.

Optimal Decision Making in High-Throughput Virtual Screening Pipelines pdf

Shantenu Jha, Edward R. Dougherty, Xiaoning Qian, 2021, ArXiv.

Intervention in gene regulatory networks via greedy control policies based on long-run behavior

Xiaoning Qian, I. Ivanov, E. R. Dougherty, 2009, BMC Systems Biology.

Model-Based Robust Filtering and Experimental Design for Stochastic Differential Equation Systems

Edward R. Dougherty, Xiaoning Qian, Byung-Jun Yoon, 2020, IEEE Transactions on Signal Processing.

Bayesian Active Learning by Soft Mean Objective Cost of Uncertainty

Edward R. Dougherty, Xiaoning Qian, Byung-Jun Yoon, 2021, AISTATS.

Efficient Active Learning for Gaussian Process Classification by Error Reduction

Francis J. Alexander, E. Dougherty, Xiaoning Qian, 2021, NeurIPS.

Optimal Bayesian Transfer Regression

Edward R. Dougherty, Xiaoning Qian, Alireza Karbalayghareh, 2018, IEEE Signal Processing Letters.

Protocol for condition-dependent metabolite yield prediction using the TRIMER pipeline

Ian K. Blaby, Francis J. Alexander, Maria J. Soto, 2022, STAR protocols.

GPSRL: Learning Semi-Parametric Bayesian Survival Rule Lists from Heterogeneous Patient Data

Xiaoning Qian, Zhangyang Wang, Bobak Mortazavi, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Detecting Pairwise Interactive Effects of Continuous Random Variables for Biomarker Identification with Small Sample Size

Xiaoning Qian, Amin Ahmadi Adl, Hye-Seung Lee, 2017, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Pairwise interaction analysis of logistic regression models

Shuguang Cui, Tie Liu, Xiaoning Qian, 2016, 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Detection of Cooperative Interactions in Logistic Regression Models

Shuguang Cui, Tie Liu, Xiaoning Qian, 2016, IEEE Transactions on Signal Processing.

Feature ranking based on synergy networks to identify prognostic markers in DPT-1

Jeffrey P. Krischer, Ping Xu, Xiaoning Qian, 2012, Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

Enhancing the accuracy of HMM-based conserved pathway prediction using global correspondence scores

Xiaoning Qian, Byung-Jun Yoon, Sayed Mohammad Ebrahim Sahraeian, 2011, BMC Bioinformatics.

CUFID-query: accurate network querying through random walk based network flow estimation

Xiaoning Qian, Byung-Jun Yoon, Hyundoo Jeong, 2017, BMC Bioinformatics.

Risk Factor Identification in Heterogeneous Disease Progression with L1-Regularized Multi-state Models

Xiaoning Qian, Shuai Huang, Xuan Dang, 2021, Journal of Healthcare Informatics Research.

Dynamic Inspection of Latent Variables in State-Space Systems

Xiaoning Qian, Kaibo Liu, Tianshu Feng, 2019, IEEE Transactions on Automation Science and Engineering.

Optimal Bayesian Transfer Learning for Classifying Multivariate Gaussian Observations

Edward R. Dougherty, Xiaoning Qian, Alireza Karbalayghareh, 2018, 2018 New York Scientific Data Summit (NYSDS).

Switching-State Dynamical Modeling of Daily Behavioral Data

Yu Cheng, Shupeng Gui, Xiaoning Qian, 2018, Journal of Healthcare Informatics Research.

State reduction for network intervention in probabilistic Boolean networks

Edward R. Dougherty, Xiaoning Qian, Ivan Ivanov, 2010, Bioinform..

Image Co-Saliency Detection and Co-Segmentation via Progressive Joint Optimization

Weizhi Li, Xiaoning Qian, Yen-Yu Lin, 2019, IEEE Transactions on Image Processing.

TOPAS: network-based structural alignment of RNA sequences

Xiaoning Qian, Byung-Jun Yoon, Chun-Chi Chen, 2019, Bioinform..

Effect of Function Perturbation on the Steady-State Distribution of Genetic Regulatory Networks: Optimal Structural Intervention

Edward R. Dougherty, Xiaoning Qian, E. Dougherty, 2008, IEEE Transactions on Signal Processing.

Bayesian module identification from multiple noisy networks

Xiaoning Qian, Siamak Zamani Dadaneh, Xiaoning Qian, 2016, EURASIP J. Bioinform. Syst. Biol..

Blockmodel module identification in protein interaction networks through Markov random walk

Yijie Wang, Xiaoning Qian, Xiaoning Qian, 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

A novel subgradient-based optimization algorithm for blockmodel functional module identification

Yijie Wang, Xiaoning Qian, Xiaoning Qian, 2013, BMC Bioinformatics.

Functional module identification by block modeling using simulated annealing with path relinking

Yijie Wang, Xiaoning Qian, Xiaoning Qian, 2012, BCB.

Selected Research Articles from the 2019 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC)

Tamer Kahveci, R. Pal, Xiaoning Qian, 2020, BMC Genomics.

Selected research articles from the 2018 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC)

Tamer Kahveci, Xiaoning Qian, Byung-Jun Yoon, 2019, BMC Bioinformatics.

Selected research articles from the 2017 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC)

Tamer Kahveci, Xiaoning Qian, Byung-Jun Yoon, 2018, BMC Bioinformatics.

Selected research articles from the 2016 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC)

Tamer Kahveci, Xiaoning Qian, Byung-Jun Yoon, 2017, BMC Bioinformatics.

Attention-Based Deep Bayesian Counting For AI-Augmented Agriculture

Mingyuan Zhou, Yucheng Wang, Xiaoning Qian, 2022, SenSys.

Validation of gene regulatory network inference based on controllability

Edward R. Dougherty, Xiaoning Qian, E. Dougherty, 2013, Front. Genet..

Phenotypically constrained Boolean network inference with prescribed steady states

Edward R. Dougherty, Xiaoning Qian, E. Dougherty, 2013, 2013 IEEE International Workshop on Genomic Signal Processing and Statistics.

Inference of gene regulatory networks: validation and uncertainty

Edward R. Dougherty, Xiaoning Qian, Byung-Jun Yoon, 2016, Big Data over Networks.