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2020 – today
- 2020
[j71]Meltem Apaydin, Liang Xu
, Bo Zeng, Xiaoning Qian:
Pessimistic optimisation for modelling microbial communities with uncertainty. Int. J. Comput. Biol. Drug Des. 13(1): 82-97 (2020)- [j70]Chung-Chi Tsai, Kuang-Jui Hsu, Yen-Yu Lin, Xiaoning Qian, Yung-Yu Chuang:
Deep Co-Saliency Detection via Stacked Autoencoder-Enabled Fusion and Self-Trained CNNs. IEEE Trans. Multim. 22(4): 1016-1031 (2020) - [j69]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 Trans. Signal Process. 68: 3849-3859 (2020) - [c69]Zepeng Huo, Arash Pakbin, Xiaohan Chen, Nathan C. Hurley, Ye Yuan, Xiaoning Qian, Zhangyang Wang, Shuai Huang, Bobak Mortazavi:
Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery. AISTATS 2020: 3894-3904 - [c68]Shahin Boluki, Randy Ardywibowo, Siamak Zamani Dadaneh, Mingyuan Zhou, Xiaoning Qian:
Learnable Bernoulli Dropout for Bayesian Deep Learning. AISTATS 2020: 3905-3916 - [c67]Qing Jin, Linjie Yang, Zhenyu Liao, Xiaoning Qian:
Neural Network Quantization with Scale-Adjusted Training. BMVC 2020 - [c66]Siamak Zamani Dadaneh, Shahin Boluki, Mingyuan Zhou, Xiaoning Qian:
Arsm Gradient Estimator for Supervised Learning to Rank. ICASSP 2020: 3157-3161 - [c65]Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna Narayanan, Mingyuan Zhou, Xiaoning Qian:
Semi-Implicit Stochastic Recurrent Neural Networks. ICASSP 2020: 3342-3346 - [c64]Randy Ardywibowo, Shahin Boluki, Xinyu Gong, Zhangyang Wang, Xiaoning Qian:
NADS: Neural Architecture Distribution Search for Uncertainty Awareness. ICML 2020: 356-366 - [c63]Arman Hasanzadeh, Ehsan Hajiramezanali, Shahin Boluki, Mingyuan Zhou, Nick Duffield, Krishna Narayanan, Xiaoning Qian:
Bayesian Graph Neural Networks with Adaptive Connection Sampling. ICML 2020: 4094-4104 - [c62]Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna Narayanan, Xiaoning Qian:
BayReL: Bayesian Relational Learning for Multi-omics Data Integration. NeurIPS 2020 - [c61]Siamak Zamani Dadaneh, Shahin Boluki, Mingzhang Yin, Mingyuan Zhou, Xiaoning Qian:
Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator. UAI 2020: 540-549 - [i21]Shahin Boluki, Randy Ardywibowo, Siamak Zamani Dadaneh, Mingyuan Zhou, Xiaoning Qian:
Learnable Bernoulli Dropout for Bayesian Deep Learning. CoRR abs/2002.05155 (2020) - [i20]Zepeng Huo, Arash Pakbin, Xiaohan Chen, Nathan C. Hurley, Ye Yuan, Xiaoning Qian, Zhangyang Wang, Shuai Huang, Bobak Mortazavi:
Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery. CoRR abs/2003.01753 (2020) - [i19]Siamak Zamani Dadaneh, Shahin Boluki, Mingzhang Yin, Mingyuan Zhou, Xiaoning Qian:
Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator. CoRR abs/2005.10477 (2020) - [i18]Arman Hasanzadeh, Ehsan Hajiramezanali, Shahin Boluki, Mingyuan Zhou, Nick Duffield, Krishna Narayanan, Xiaoning Qian:
Bayesian Graph Neural Networks with Adaptive Connection Sampling. CoRR abs/2006.04064 (2020) - [i17]Randy Ardywibowo, Shahin Boluki, Xinyu Gong, Zhangyang Wang, Xiaoning Qian:
NADS: Neural Architecture Distribution Search for Uncertainty Awareness. CoRR abs/2006.06646 (2020) - [i16]Byung-Jun Yoon, Xiaoning Qian, Edward R. Dougherty:
Quantifying the multi-objective cost of uncertainty. CoRR abs/2010.04653 (2020) - [i15]Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna R. Narayanan, Xiaoning Qian:
BayReL: Bayesian Relational Learning for Multi-omics Data Integration. CoRR abs/2010.05895 (2020)
2010 – 2019
- 2019
- [j68]Shahin Boluki, Xiaoning Qian, Edward R. Dougherty:
Experimental Design via Generalized Mean Objective Cost of Uncertainty. IEEE Access 7: 2223-2230 (2019) - [j67]Chun-Chi Chen, Xiaoning Qian, Byung-Jun Yoon:
RNAdetect: efficient computational detection of novel non-coding RNAs. Bioinform. 35(7): 1133-1141 (2019) - [j66]Siamak Zamani Dadaneh, Mingyuan Zhou, Xiaoning Qian:
Bayesian negative binomial regression for differential expression with confounding factors. Bioinform. 35(13): 2346 (2019) - [j65]Chun-Chi Chen, Hyundoo Jeong, Xiaoning Qian, Byung-Jun Yoon:
TOPAS: network-based structural alignment of RNA sequences. Bioinform. 35(17): 2941-2948 (2019) - [j64]Byung-Jun Yoon, Xiaoning Qian, Tamer Kahveci, Ranadip Pal:
Selected research articles from the 2018 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC). BMC Bioinform. 20-S(12): 316:1-316:3 (2019) - [j63]Shahin Boluki, Siamak Zamani Dadaneh, Xiaoning Qian, Edward R. Dougherty:
Optimal clustering with missing values. BMC Bioinform. 20-S(12): 321:1-321:10 (2019) - [j62]Kai He, Shuai Huang, Xiaoning Qian:
Early detection and risk assessment for chronic disease with irregular longitudinal data analysis. J. Biomed. Informatics 96 (2019) - [j61]Tianshu Feng, Xiaoning Qian, Kaibo Liu, Shuai Huang:
Dynamic Inspection of Latent Variables in State-Space Systems. IEEE Trans Autom. Sci. Eng. 16(3): 1232-1243 (2019) - [j60]Shahin Boluki, Mohammad Shahrokh Esfahani, Xiaoning Qian, Edward R. Dougherty:
Constructing Pathway-Based Priors within a Gaussian Mixture Model for Bayesian Regression and Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 16(2): 524-537 (2019) - [j59]Chung-Chi Tsai, Weizhi Li, Kuang-Jui Hsu, Xiaoning Qian, Yen-Yu Lin:
Image Co-Saliency Detection and Co-Segmentation via Progressive Joint Optimization. IEEE Trans. Image Process. 28(1): 56-71 (2019) - [c60]Randy Ardywibowo, Guang Zhao, Zhangyang Wang, Bobak Mortazavi, Shuai Huang, Xiaoning Qian:
Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models. AISTATS 2019: 266-275 - [c59]Wuyang Chen, Ziyu Jiang, Zhangyang Wang, Kexin Cui, Xiaoning Qian:
Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images. CVPR 2019: 8924-8933 - [c58]Xiaoqian Jia, Sicheng Wang, Xiao Liang, Anjali Balagopal, Dan Nguyen, Ming Yang, Zhangyang Wang, Jim Xiuquan Ji, Xiaoning Qian, Steve Jiang:
Cone-Beam Computed Tomography (CBCT) Segmentation by Adversarial Learning Domain Adaptation. MICCAI (6) 2019: 567-575 - [c57]Ehsan Hajiramezanali, Arman Hasanzadeh, Krishna R. Narayanan, Nick Duffield, Mingyuan Zhou, Xiaoning Qian:
Variational Graph Recurrent Neural Networks. NeurIPS 2019: 10700-10710 - [c56]Arman Hasanzadeh, Ehsan Hajiramezanali, Krishna R. Narayanan, Nick Duffield, Mingyuan Zhou, Xiaoning Qian:
Semi-Implicit Graph Variational Auto-Encoders. NeurIPS 2019: 10711-10722 - [i14]Randy Ardywibowo, Guang Zhao, Zhangyang Wang, Bobak Mortazavi, Shuai Huang, Xiaoning Qian:
Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models. CoRR abs/1901.02427 (2019) - [i13]Shahin Boluki, Siamak Zamani Dadaneh, Xiaoning Qian, Edward R. Dougherty:
Optimal Clustering with Missing Values. CoRR abs/1902.09694 (2019) - [i12]Wuyang Chen, Ziyu Jiang, Zhangyang Wang, Kexin Cui, Xiaoning Qian:
Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images. CoRR abs/1905.06368 (2019) - [i11]Arman Hasanzadeh, Ehsan Hajiramezanali, Nick Duffield, Krishna R. Narayanan, Mingyuan Zhou, Xiaoning Qian:
Semi-Implicit Graph Variational Auto-Encoders. CoRR abs/1908.07078 (2019) - [i10]Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna R. Narayanan, Mingyuan Zhou, Xiaoning Qian:
Variational Graph Recurrent Neural Networks. CoRR abs/1908.09710 (2019) - [i9]Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna R. Narayanan, Mingyuan Zhou, Xiaoning Qian:
Semi-Implicit Stochastic Recurrent Neural Networks. CoRR abs/1910.12819 (2019) - [i8]Siamak Zamani Dadaneh, Shahin Boluki, Mingyuan Zhou, Xiaoning Qian:
ARSM Gradient Estimator for Supervised Learning to Rank. CoRR abs/1911.00465 (2019) - 2018
- [j58]Siamak Zamani Dadaneh, Mingyuan Zhou, Xiaoning Qian:
Covariate-dependent negative binomial factor analysis of RNA sequencing data. Bioinform. 34(13): i61-i69 (2018) - [j57]Siamak Zamani Dadaneh, Mingyuan Zhou, Xiaoning Qian:
Bayesian negative binomial regression for differential expression with confounding factors. Bioinform. 34(19): 3349-3356 (2018) - [j56]Byung-Jun Yoon, Xiaoning Qian, Tamer Kahveci, Ranadip Pal:
Selected research articles from the 2017 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC). BMC Bioinform. 19-S(3): 69:1-69:4 (2018) - [j55]Roozbeh Dehghannasiri, Xiaoning Qian, Edward R. Dougherty:
A Bayesian robust Kalman smoothing framework for state-space models with uncertain noise statistics. EURASIP J. Adv. Signal Process. 2018: 55 (2018) - [j54]Randy Ardywibowo, Shuai Huang, Shupeng Gui, Cao Xiao, Yu Cheng, Ji Liu, Xiaoning Qian:
Switching-State Dynamical Modeling of Daily Behavioral Data. J. Heal. Informatics Res. 2(3): 228-247 (2018) - [j53]Shaogang Ren, Shuai Huang, Jieping Ye, Xiaoning Qian:
Safe Feature Screening for Generalized LASSO. IEEE Trans. Pattern Anal. Mach. Intell. 40(12): 2992-3006 (2018) - [j52]Xiaopeng Lucia Sui, Li Xu, Xiaoning Qian, Tie Liu:
Convex clustering with metric learning. Pattern Recognit. 81: 575-584 (2018) - [j51]Roozbeh Dehghannasiri, Xiaoning Qian, Edward R. Dougherty:
Intrinsically Bayesian robust Karhunen-Loève compression. Signal Process. 144: 311-322 (2018) - [j50]Alireza Karbalayghareh, Xiaoning Qian, Edward R. Dougherty:
Optimal Bayesian Transfer Regression. IEEE Signal Process. Lett. 25(11): 1655-1659 (2018) - [j49]Ying Lin, Kaibo Liu, Eunshin Byon, Xiaoning Qian, Shan Liu, Shuai Huang:
A Collaborative Learning Framework for Estimating Many Individualized Regression Models in a Heterogeneous Population. IEEE Trans. Reliab. 67(1): 328-341 (2018) - [j48]Roozbeh Dehghannasiri, Mohammad Shahrokh Esfahani, Xiaoning Qian, Edward R. Dougherty:
Optimal Bayesian Kalman Filtering With Prior Update. IEEE Trans. Signal Process. 66(8): 1982-1996 (2018) - [j47]Alireza Karbalayghareh, Xiaoning Qian, Edward R. Dougherty:
Optimal Bayesian Transfer Learning. IEEE Trans. Signal Process. 66(14): 3724-3739 (2018) - [j46]Siamak Zamani Dadaneh, Edward R. Dougherty, Xiaoning Qian:
Optimal Bayesian Classification With Missing Values. IEEE Trans. Signal Process. 66(16): 4182-4192 (2018) - [c55]Roozbeh Dehghannasiri, Xiaoning Qian, Edward R. Dougherty:
Robust Smoothing for State-Space Models with Unknown Noise Statistics. ACSSC 2018: 1024-1028 - [c54]Shahin Boluki, Siamak Zamani Dadaneh, Xiaoning Qian, Edward R. Dougherty:
Optimal Clustering with Missing Values. BCB 2018: 593-594 - [c53]Ehsan Hajiramezanali, Mahdi Imani, Ulisses M. Braga-Neto, Xiaoning Qian, Edward R. Dougherty:
Scalable Optimal Bayesian Classification of Single-Cell Trajectories under Regulatory Model Uncertainty. BCB 2018: 596-597 - [c52]Kuang-Jui Hsu, Chung-Chi Tsai, Yen-Yu Lin, Xiaoning Qian, Yung-Yu Chuang:
Unsupervised CNN-Based Co-saliency Detection with Graphical Optimization. ECCV (5) 2018: 502-518 - [c51]Yixin Fang, Ruoming Jin, Wei Xiong, Xiaoning Qian, Dejing Dou, Hai Phan:
Recursive Structure Similarity: A Novel Algorithm for Graph Clustering. ICTAI 2018: 395-400 - [c50]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. NeurIPS 2018: 9133-9142 - [i7]Alireza Karbalayghareh, Xiaoning Qian, Edward R. Dougherty:
Optimal Bayesian Transfer Learning. CoRR abs/1801.00857 (2018) - [i6]Shaogang Ren, Jianhua Z. Huang, Shuai Huang, Xiaoning Qian:
Safe Active Feature Selection for Sparse Learning. CoRR abs/1806.05817 (2018) - [i5]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. CoRR abs/1810.09433 (2018) - [i4]Guang Zhao, Raymundo Arroyave, Xiaoning Qian:
Fast Exact Computation of Expected HyperVolume Improvement. CoRR abs/1812.07692 (2018) - 2017
- [j45]Shahin Boluki, Mohammad Shahrokh Esfahani, Xiaoning Qian, Edward R. Dougherty:
Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors. BMC Bioinform. 18(14): 61-80 (2017) - [j44]Chun-Chi Chen, Xiaoning Qian, Byung-Jun Yoon:
Effective computational detection of piRNAs using n-gram models and support vector machine. BMC Bioinform. 18(14): 103-109 (2017) - [j43]Hyundoo Jeong, Xiaoning Qian, Byung-Jun Yoon:
CUFID-query: accurate network querying through random walk based network flow estimation. BMC Bioinform. 18(14): 133-146 (2017) - [j42]Byung-Jun Yoon, Xiaoning Qian, Tamer Kahveci:
Selected research articles from the 2016 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC). BMC Bioinform. 18(S-4): 1-3 (2017) - [j41]Yijie Wang, Xiaoning Qian:
Finding low-conductance sets with dense interactions (FLCD) for better protein complex prediction. BMC Syst. Biol. 11(3): 22:1-22:11 (2017) - [j40]Chun-Chi Chen, Noushin Ghaffari, Xiaoning Qian, Byung-Jun Yoon:
Optimal hybrid sequencing and assembly: Feasibility conditions for accurate genome reconstruction and cost minimization strategy. Comput. Biol. Chem. 69: 153-163 (2017) - [j39]Roozbeh Dehghannasiri, Xiaoning Qian, Edward R. Dougherty:
Optimal experimental design in the context of canonical expansions. IET Signal Process. 11(8): 942-951 (2017) - [j38]Chuyang Ke, Yan Jin, Heather L. Evans, Bill Lober, Xiaoning Qian, Ji Liu, Shuai Huang:
Prognostics of surgical site infections using dynamic health data. J. Biomed. Informatics 65: 22-33 (2017) - [j37]Yijun Huang, Qiang Meng, Heather L. Evans, William B. Lober, Yu Cheng, Xiaoning Qian, Ji Liu, Shuai Huang:
CHI: A contemporaneous health index for degenerative disease monitoring using longitudinal measurements. J. Biomed. Informatics 73: 115-124 (2017) - [j36]Amin Ahmadi Adl, Hye-Seung Lee, Xiaoning Qian:
Detecting Pairwise Interactive Effects of Continuous Random Variables for Biomarker Identification with Small Sample Size. IEEE ACM Trans. Comput. Biol. Bioinform. 14(6): 1265-1275 (2017) - [j35]Easton Li Xu, Xiaoning Qian, Tie Liu, Shuguang Cui:
Detection of Cooperative Interactions in Logistic Regression Models. IEEE Trans. Signal Process. 65(7): 1765-1780 (2017) - [c49]Roozbeh Dehghannasiri, Mohammad Shahrokh Esfahani, Xiaoning Qian, Edward R. Dougherty:
Bayesian Kalman filtering in the presence of unknown noise statistics using factor graphs. ACSSC 2017: 166-170 - [c48]Roozbeh Dehghannasiri, Xiaoning Qian, Edward R. Dougherty:
An objective-based experimental design framework for signal processing in the context of canonical expansions. ACSSC 2017: 789-793 - [c47]Byung-Jun Yoon, Xiaoning Qian, Tamer Kahveci:
CNB-MAC'17: The Fourth International Workshop on Computational Network Biology: Modeling, Analysis, and Control. BCB 2017: 750 - [c46]Easton Li Xu, Xiaoning Qian, Qilian Yu, Han Zhang, Shuguang Cui:
Feature Selection with Interactions in Logistic Regression Models using Multivariate Synergies for a GWAS Application. BCB 2017: 760-761 - [c45]Chung-Chi Tsai, Xiaoning Qian, Yen-Yu Lin:
Image co-saliency detection via locally adaptive saliency map fusion. ICASSP 2017: 1897-1901 - [c44]Weizhi Li, Xiaoning Qian, Jim Jing-Yan Ji:
Noise-tolerant deep learning for histopathological image segmentation. ICIP 2017: 3075-3079 - [c43]Chung-Chi Tsai, Xiaoning Qian, Yen-Yu Lin:
Segmentation guided local proposal fusion for co-saliency detection. ICME 2017: 523-528 - 2016
- [j34]Hyundoo Jeong, Xiaoning Qian, Byung-Jun Yoon:
Effective comparative analysis of protein-protein interaction networks by measuring the steady-state network flow using a Markov model. BMC Bioinform. 17(S-13): 395 (2016) - [j33]Siamak Zamani Dadaneh, Xiaoning Qian:
Bayesian module identification from multiple noisy networks. EURASIP J. Bioinform. Syst. Biol. 2016: 5 (2016) - [j32]Yijie Wang, Xiaoning Qian:
Stochastic block coordinate Frank-Wolfe algorithm for large-scale biological network alignment. EURASIP J. Bioinform. Syst. Biol. 2016: 9 (2016) - [j31]Meng Lu, Jianhua Z. Huang, Xiaoning Qian:
Sparse exponential family Principal Component Analysis. Pattern Recognit. 60: 681-691 (2016) - [j30]Xiaoning Qian, Edward R. Dougherty:
Bayesian Regression With Network Prior: Optimal Bayesian Filtering Perspective. IEEE Trans. Signal Process. 64(23): 6243-6253 (2016) - [c42]Yijie Wang, Xiaoning Qian:
Finding Low-Conductance sets with Dense interactions (FLCD) for better protein complex prediction. BCB 2016: 537-538 - [c41]Meltem Apaydin, Bo Zeng, Xiaoning Qian:
A reliable alternative of OptKnock for desirable mutant microbial strains. BHI 2016: 573-576 - [c40]Roozbeh Dehghannasiri, Xiaoning Qian, Edward R. Dougherty:
Optimal experimental design in canonical expansions with applications to signal compression. GlobalSIP 2016: 94-98 - [c39]Easton Li Xu, Xiaoning Qian, Tie Liu, Shuguang Cui:
Pairwise interaction analysis of logistic regression models. GlobalSIP 2016: 187-191 - [c38]Yijie Wang, Byung-Jun Yoon, Xiaoning Qian:
Co-segmentation of multiple images through random walk on graphs. ICASSP 2016: 1811-1815 - [p1]Xiaoning Qian, Byung-Jun Yoon, Edward R. Dougherty:
Inference of gene regulatory networks: validation and uncertainty. Big Data over Networks 2016: 337-364 - [i3]Easton Li Xu, Xiaoning Qian, Tie Liu, Shuguang Cui:
Detection of Cooperative Interactions in Logistic Regression Models. CoRR abs/1602.03963 (2016) - [i2]Chuyang Ke, Yan Jin, Heather L. Evans, Bill Lober, Xiaoning Qian, Ji Liu, Shuai Huang:
Prognostics of Surgical Site Infections using Dynamic Health Data. CoRR abs/1611.04049 (2016) - 2015
- [j29]Amin Ahmadi Adl, Xiaoning Qian:
Tumor stratification by a novel graph-regularized bi-clique finding algorithm. Comput. Biol. Chem. 57: 3-11 (2015) - [j28]Bingxiong Lin, Yu Sun, Jaime E. Sánchez, Xiaoning Qian:
Efficient Vessel Feature Detection for Endoscopic Image Analysis. IEEE Trans. Biomed. Eng. 62(4): 1141-1150 (2015) - [c37]Shaogang Ren, Shuai Huang, John A. Onofrey, Xenios Papademetris, Xiaoning Qian:
A Scalable Algorithm for Structured Kernel Feature Selection. AISTATS 2015 - [c36]Yijie Wang, Xiaoning Qian:
A computational framework for finding functional modules across multiple biological networks. BCB 2015: 649-650 - [c35]Meltem Apaydin, Bo Zeng, Shaogang Ren, Xiaoning Qian:
A computationally efficient solution strategy for optimal gene knockouts for targeted overproduction. BCB 2015: 653-654 - [c34]Ying Lin, Kaibo Liu, Eunshin Byon, Xiaoning Qian, Shuai Huang:
Domain-Knowledge Driven Cognitive Degradation Modeling for Alzheimer's Disease. SDM 2015: 721-729 - [i1]Yijie Wang, Xiaoning Qian:
Stochastic Block Coordinate Frank-Wolfe Algorithm for Large-Scale Biological Network Alignment. CoRR abs/1505.06607 (2015) - 2014
- [j27]Yijie Wang, Xiaoning Qian:
Functional module identification in protein interaction networks by interaction patterns. Bioinform. 30(1): 81-93 (2014) - [j26]Meng Lu, Hye-Seung Lee, David Hadley, Jianhua Z. Huang, Xiaoning Qian:
Supervised categorical principal component analysis for genome-wide association analyses. BMC Genom. 15(S-1): S10 (2014) - [j25]Yijie Wang, Xiaoning Qian:
Joint clustering of protein interaction networks through Markov random walk. BMC Syst. Biol. 8(S-1): S9 (2014) - [j24]Yufei Huang, Yidong Chen, Xiaoning Qian:
Selected Articles from the 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS 2012). IEEE ACM Trans. Comput. Biol. Bioinform. 11(6): 981-983 (2014) - [j23]Meng Lu, Hye-Seung Lee, David Hadley, Jianhua Z. Huang, Xiaoning Qian:
Logistic Principal Component Analysis for Rare Variants in Gene-Environment Interaction Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 11(6): 1020-1028 (2014) - [j22]Seyed Javad Sajjadi, Xiaoning Qian, Bo Zeng, Amin Ahmadi Adl:
Network-Based Methods to Identify Highly Discriminating Subsets of Biomarkers. IEEE ACM Trans. Comput. Biol. Bioinform. 11(6): 1029-1037 (2014) - [c33]Amin Ahmadi Adl, Xiaoning Qian:
Network-regularized bi-clique finding for tumor stratification. BCB 2014: 686-687 - [c32]Yijie Wang, Xiaoning Qian:
Biological network clustering by robust NMF. BCB 2014: 688-689 - [c31]Yijie Wang, Xiaoning Qian:
Stochastic coordinate descent Frank-Wolfe algorithm for large-scale biological network alignment. GlobalSIP 2014: 1410-1413 - [c30]Yijie Wang, Xiaoning Qian:
Joint clustering of protein interaction networks by block modeling. ICASSP 2014: 1616-1620 - [c29]Shaogang Ren, Xiaoning Qian:
Structured sparse PCA to identify miRNA co-regulatory modules. ICASSP 2014: 2828-2832 - [c28]Bingxiong Lin, Yu Sun, Jaime Sánchez, Xiaoning Qian:
Vesselness based feature extraction for endoscopic image analysis. ISBI 2014: 1295-1298 - 2013
- [j21]Shaogang Ren, Bo Zeng, Xiaoning Qian:
Adaptive bi-level programming for optimal gene knockouts for targeted overproduction under phenotypic constraints. BMC Bioinform. 14(S-2): S17 (2013) - [j20]Yijie Wang, Xiaoning Qian:
A novel subgradient-based optimization algorithm for blockmodel functional module identification. BMC Bioinform. 14(S-2): S23 (2013) - [j19]Amin Ahmadi Adl, Xiaoning Qian, Ping Xu, Kendra Vehik, Jeffrey P. Krischer:
Feature ranking based on synergy networks to identify prognostic markers in DPT-1. EURASIP J. Bioinform. Syst. Biol. 2013: 12 (2013) - [j18]Bingxiong Lin, Yu Sun, Xiaoning Qian:
Dense Surface Reconstruction With Shadows in MIS. IEEE Trans. Biomed. Eng. 60(9): 2411-2420 (2013) - [j17]Byung-Jun Yoon, Xiaoning Qian, Edward R. Dougherty:
Quantifying the Objective Cost of Uncertainty in Complex Dynamical Systems. IEEE Trans. Signal Process. 61(9): 2256-2266 (2013) - [c27]Yijie Wang, Xiaoning Qian:
Blockmodel module identification in protein interaction networks through Markov random walk. EUSIPCO 2013: 1-5 - [c26]