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2020 – today
- 2024
[j88]Xihaier Luo, Seyednami Niyakan, Patrick R. Johnstone, Sean McCorkle, Gilchan Park
, Vanessa López-Marrero, Shinjae Yoo, Edward R. Dougherty, Xiaoning Qian, Francis J. Alexander, Shantenu Jha, Byung-Jun Yoon:
Pathway-based analyses of gene expression profiles at low doses of ionizing radiation. Frontiers Bioinform. 4 (2024)- [j87]Seyednami Niyakan, Jianting Sheng, Yuliang Cao, Xiang Zhang, Zhan Xu, Ling Wu, Stephen T. C. Wong, Xiaoning Qian:
MUSTANG: Multi-sample spatial transcriptomics data analysis with cross-sample transcriptional similarity guidance. Patterns 5(6): 100986 (2024) - [j86]Shahin Boluki, Siamak Zamani Dadaneh, Edward R. Dougherty, Xiaoning Qian:
Bayesian Proper Orthogonal Decomposition for Learnable Reduced-Order Models With Uncertainty Quantification. IEEE Trans. Artif. Intell. 5(3): 1162-1173 (2024) - [c101]Siyuan Xu, Yucheng Wang, Mingzhou Fan, Byung-Jun Yoon, Xiaoning Qian:
Uncertainty-aware Continuous Implicit Neural Representations for Remote Sensing Object Counting. AISTATS 2024: 4105-4113 - [c100]Sanket R. Jantre, Nathan M. Urban, Xiaoning Qian, Byung-Jun Yoon:
Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural Networks. ICASSP 2024: 5330-5334 - [c99]Keqiang Yan, Cong Fu, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji:
Complete and Efficient Graph Transformers for Crystal Material Property Prediction. ICLR 2024 - [c98]Mingzhou Fan, Ruida Zhou, Chao Tian, Xiaoning Qian:
Path-Guided Particle-based Sampling. ICML 2024 - [c97]Xihaier Luo, Xiaoning Qian, Byung-Jun Yoon:
Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution. ICML 2024 - [c96]Puhua Niu, Shili Wu, Mingzhou Fan, Xiaoning Qian:
GFlowNet Training by Policy Gradients. ICML 2024 - [c95]Keqiang Yan, Alexandra Saxton, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji:
A Space Group Symmetry Informed Network for O(3) Equivariant Crystal Tensor Prediction. ICML 2024 - [c94]Amir Hossein Rahmati, Mingzhou Fan, Ruida Zhou, Nathan M. Urban, Byung-Jun Yoon, Xiaoning Qian:
When Uncertainty-Based Active Learning May Fail? ICPR (1) 2024: 84-100 - [c93]Ziyi Zhang, Shaogang Ren, Xiaoning Qian, Nick Duffield:
Learning Flexible Time-windowed Granger Causality Integrating Heterogeneous Interventional Time Series Data. KDD 2024: 4408-4418 - [c92]Alif Bin Abdul Qayyum, Xihaier Luo, Nathan M. Urban, Xiaoning Qian, Byung-Jun Yoon:
Implicit Neural Representations for Simultaneous Reduction and Continuous Reconstruction of Multi-Altitude Climate Data. MLSP 2024: 1-6 - [c91]Ziyi Zhang, Shaogang Ren, Xiaoning Qian, Nick Duffield:
Towards Invariant Time Series Forecasting in Smart Cities. WWW (Companion Volume) 2024: 1344-1350 - [i52]Alif Bin Abdul Qayyum, Xihaier Luo, Nathan M. Urban, Xiaoning Qian, Byung-Jun Yoon:
Multi-modal Representation Learning for Cross-modal Prediction of Continuous Weather Patterns from Discrete Low-Dimensional Data. CoRR abs/2401.16936 (2024) - [i51]Shaogang Ren, Xiaoning Qian:
Causal Bayesian Optimization via Exogenous Distribution Learning. CoRR abs/2402.02277 (2024) - [i50]Shaogang Ren, Xiaoning Qian:
Dynamic Incremental Optimization for Best Subset Selection. CoRR abs/2402.02322 (2024) - [i49]Keqiang Yan, Cong Fu, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji:
Complete and Efficient Graph Transformers for Crystal Material Property Prediction. CoRR abs/2403.11857 (2024) - [i48]Ziyi Zhang, Shaogang Ren, Xiaoning Qian, Nick Duffield:
Towards Invariant Time Series Forecasting in Smart Cities. CoRR abs/2405.05430 (2024) - [i47]Xihaier Luo, Xiaoning Qian, Byung-Jun Yoon:
Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution. CoRR abs/2405.12202 (2024) - [i46]Ziyi Zhang, Shaogang Ren, Xiaoning Qian, Nick Duffield:
Learning Flexible Time-windowed Granger Causality Integrating Heterogeneous Interventional Time Series Data. CoRR abs/2406.10419 (2024) - [i45]Keqiang Yan, Alexandra Saxton, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji:
A Space Group Symmetry Informed Network for O(3) Equivariant Crystal Tensor Prediction. CoRR abs/2406.12888 (2024) - [i44]Puhua Niu, Shili Wu, Mingzhou Fan, Xiaoning Qian:
GFlowNet Training by Policy Gradients. CoRR abs/2408.05885 (2024) - [i43]Amir Hossein Rahmati, Mingzhou Fan, Ruida Zhou, Nathan M. Urban, Byung-Jun Yoon, Xiaoning Qian:
Understanding Uncertainty-based Active Learning Under Model Mismatch. CoRR abs/2408.13690 (2024) - [i42]Alif Bin Abdul Qayyum, Xihaier Luo, Nathan M. Urban, Xiaoning Qian, Byung-Jun Yoon:
Implicit Neural Representations for Simultaneous Reduction and Continuous Reconstruction of Multi-Altitude Climate Data. CoRR abs/2409.17367 (2024) - [i41]Nicholas Jeon, Xiaoning Qian, Lamin SaidyKhan, Paul de Figueiredo, Byung-Jun Yoon:
LoRA-BERT: a Natural Language Processing Model for Robust and Accurate Prediction of long non-coding RNAs. CoRR abs/2411.08073 (2024) - [i40]Mingzhou Fan, Ruida Zhou, Chao Tian, Xiaoning Qian:
Path-Guided Particle-based Sampling. CoRR abs/2412.03312 (2024) - [i39]Meltem Apaydin Ustun, Liang Xu, Bo Zeng, Xiaoning Qian:
Hyperparameter Tuning Through Pessimistic Bilevel Optimization. CoRR abs/2412.03666 (2024) - [i38]Puhua Niu, Byung-Jun Yoon, Xiaoning Qian:
Epidemiological Model Calibration via Graybox Bayesian Optimization. CoRR abs/2412.07193 (2024) - 2023
- [j85]Puhua Niu, Maria J. Soto, Shuai Huang, Byung-Jun Yoon, Edward R. Dougherty, Francis J. Alexander, Ian Blaby, Xiaoning Qian:
Sensitivity Analysis of Genome-Scale Metabolic Flux Prediction. J. Comput. Biol. 30(7): 751-765 (2023) - [j84]Xiaoning Qian, Byung-Jun Yoon, Raymundo Arróyave, Xiaofeng Qian, Edward R. Dougherty:
Knowledge-driven learning, optimization, and experimental design under uncertainty for materials discovery. Patterns 4(11): 100863 (2023) - [j83]Hyun-Myung Woo, Xiaoning Qian, Li Tan, Shantenu Jha, Francis J. Alexander, Edward R. Dougherty, Byung-Jun Yoon:
Optimal decision-making in high-throughput virtual screening pipelines. Patterns 4(11): 100875 (2023) - [j82]Francis J. Alexander, Meifeng Lin, Xiaoning Qian, Byung-Jun Yoon:
Accelerating scientific discoveries through data-driven innovations. Patterns 4(11): 100876 (2023) - [j81]Omar Maddouri, Xiaoning Qian, Byung-Jun Yoon:
Geometric Affinity Propagation for Clustering With Network Knowledge. IEEE Trans. Knowl. Data Eng. 35(11): 11419-11436 (2023) - [c90]Yucheng Wang, Mingyuan Zhou, Yu Sun, Xiaoning Qian:
Uncertainty-aware Unsupervised Video Hashing. AISTATS 2023: 6722-6740 - [c89]Alif Bin Abdul Qayyum, Xiaoning Qian, Byung-Jun Yoon:
Enhancing Cryo-EM Particle Picking Through Consistency Model-based Latent Space Denoiser. BCB 2023: 72:1 - [c88]Yuchao Lin, Keqiang Yan, Youzhi Luo, Yi Liu, Xiaoning Qian, Shuiwang Ji:
Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction. ICML 2023: 21260-21287 - [c87]Haiyang Yu, Zhao Xu, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji:
Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian. ICML 2023: 40412-40424 - [c86]Cong Fu, Keqiang Yan, Limei Wang, Wing Yee Au, Michael McThrow, Tao Komikado, Koji Maruhashi, Kanji Uchino, Xiaoning Qian, Shuiwang Ji:
A Latent Diffusion Model for Protein Structure Generation. LoG 2023: 29 - [c85]Haiyang Yu, Meng Liu, Youzhi Luo, Alex Strasser, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji:
QH9: A Quantum Hamiltonian Prediction Benchmark for QM9 Molecules. NeurIPS 2023 - [i37]Xihaier Luo, Sean McCorkle, Gilchan Park, Vanessa López-Marrero, Shinjae Yoo, Edward R. Dougherty, Xiaoning Qian, Francis J. Alexander, Byung-Jun Yoon:
Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation response. CoRR abs/2301.01769 (2023) - [i36]Cong Fu, Keqiang Yan, Limei Wang, Wing Yee Au, Michael McThrow, Tao Komikado, Koji Maruhashi, Kanji Uchino, Xiaoning Qian, Shuiwang Ji:
A Latent Diffusion Model for Protein Structure Generation. CoRR abs/2305.04120 (2023) - [i35]Haiyang Yu, Zhao Xu, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji:
Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian. CoRR abs/2306.04922 (2023) - [i34]Haiyang Yu, Meng Liu, Youzhi Luo, Alex Strasser, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji:
QH9: A Quantum Hamiltonian Prediction Benchmark for QM9 Molecules. CoRR abs/2306.09549 (2023) - [i33]Yuchao Lin, Keqiang Yan, Youzhi Luo, Yi Liu, Xiaoning Qian, Shuiwang Ji:
Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction. CoRR abs/2306.10045 (2023) - [i32]Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Haiyang Yu, Yuqing Xie, Xiang Fu, Alex Strasser, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik J. Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji:
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. CoRR abs/2307.08423 (2023) - [i31]Sanket R. Jantre, Nathan M. Urban, Xiaoning Qian, Byung-Jun Yoon:
Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural Networks. CoRR abs/2309.03061 (2023) - 2022
- [j80]Omar Maddouri, Xiaoning Qian, Byung-Jun Yoon:
Deep graph representations embed network information for robust disease marker identification. Bioinform. 38(4): 1075-1086 (2022) - [j79]Omar Maddouri, Xiaoning Qian, Francis J. Alexander, Edward R. Dougherty, Byung-Jun Yoon:
Robust importance sampling for error estimation in the context of optimal Bayesian transfer learning. Patterns 3(3): 100428 (2022) - [c84]Randy Ardywibowo, Shahin Boluki, Zhangyang Wang, Bobak J. Mortazavi, Shuai Huang, Xiaoning Qian:
VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition. AISTATS 2022: 1359-1379 - [c83]Xihaier Luo, Sean McCorkle, Gilchan Park, Vanessa López-Marrero, Shinjae Yoo, Edward R. Dougherty, Xiaoning Qian, Francis J. Alexander, Byung-Jun Yoon:
Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation response. BIBM 2022: 2366-2374 - [c82]Zepeng Huo, Taowei Ji, Yifei Liang, Shuai Huang, Zhangyang Wang, Xiaoning Qian, Bobak Mortazavi:
Dynimp: Dynamic Imputation for Wearable Sensing Data through Sensory and Temporal Relatedness. ICASSP 2022: 3988-3992 - [c81]Mingzhou Fan, Byung-Jun Yoon, Francis J. Alexander, Edward R. Dougherty, Xiaoning Qian:
Adaptive Group Testing with Mismatched Models. ICASSP 2022: 4533-4537 - [c80]Arman Hasanzadeh, Ehsan Hajiramezanali, Nick Duffield, Xiaoning Qian:
MoReL: Multi-omics Relational Learning. ICLR 2022 - [c79]Randy Ardywibowo, Zepeng Huo, Zhangyang Wang, Bobak J. Mortazavi, Shuai Huang, Xiaoning Qian:
VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty. ICML 2022: 865-877 - [c78]Zepeng Huo, Xiaoning Qian, Shuai Huang, Zhangyang Wang, Bobak J. Mortazavi:
Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical Data. MLHC 2022: 101-122 - [c77]Yucheng Wang, Mengmeng Gu, Mingyuan Zhou, Xiaoning Qian:
Attention-Based Deep Bayesian Counting For AI-Augmented Agriculture. SenSys 2022: 1109-1115 - [i30]Arman Hasanzadeh, Ehsan Hajiramezanali, Nick Duffield, Xiaoning Qian:
MoReL: Multi-omics Relational Learning. CoRR abs/2203.08149 (2022) - [i29]Randy Ardywibowo, Shahin Boluki, Zhangyang Wang, Bobak Mortazavi, Shuai Huang, Xiaoning Qian:
VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition. CoRR abs/2204.00130 (2022) - [i28]Zepeng Huo, Xiaoning Qian, Shuai Huang, Zhangyang Wang, Bobak Mortazavi:
Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical Data. CoRR abs/2207.11382 (2022) - [i27]Zepeng Huo, Taowei Ji, Yifei Liang, Shuai Huang, Zhangyang Wang, Xiaoning Qian, Bobak Mortazavi:
DynImp: Dynamic Imputation for Wearable Sensing Data Through Sensory and Temporal Relatedness. CoRR abs/2209.15415 (2022) - 2021
- [j78]Byung-Jun Yoon, Xiaoning Qian, Edward R. Dougherty:
Quantifying the Multi-Objective Cost of Uncertainty. IEEE Access 9: 80351-80359 (2021) - [j77]Shahin Boluki, Xiaoning Qian, Edward R. Dougherty:
Optimal Bayesian supervised domain adaptation for RNA sequencing data. Bioinform. 37(19): 3212-3219 (2021) - [j76]Ameer Hamza Shakur, Shuai Huang, Xiaoning Qian, Xiangyu Chang:
SURVFIT: Doubly sparse rule learning for survival data. J. Biomed. Informatics 117: 103691 (2021) - [j75]Xuan Dang, Shuai Huang, Xiaoning Qian:
Risk Factor Identification in Heterogeneous Disease Progression with L1-Regularized Multi-state Models. J. Heal. Informatics Res. 5(1): 20-53 (2021) - [j74]Xuan Dang, Shuai Huang, Xiaoning Qian:
Penalized Cox's proportional hazards model for high-dimensional survival data with grouped predictors. Stat. Comput. 31(6): 77 (2021) - [j73]Alireza Karbalayghareh, Xiaoning Qian, Edward R. Dougherty:
Optimal Bayesian Transfer Learning for Count Data. IEEE ACM Trans. Comput. Biol. Bioinform. 18(2): 644-655 (2021) - [c76]Ziyu Xiang, Mingzhou Fan, Guillermo Vázquez Tovar, William Trehern, Byung-Jun Yoon, Xiaofeng Qian, Raymundo Arróyave, Xiaoning Qian:
Physics-constrained Automatic Feature Engineering for Predictive Modeling in Materials Science. AAAI 2021: 10414-10421 - [c75]Guang Zhao, Edward R. Dougherty, Byung-Jun Yoon, Francis J. Alexander, Xiaoning Qian:
Bayesian Active Learning by Soft Mean Objective Cost of Uncertainty. AISTATS 2021: 3970-3978 - [c74]Zepeng Huo, Lida Zhang, Rohan Khera, Shuai Huang, Xiaoning Qian, Zhangyang Wang, Bobak J. Mortazavi:
Sparse Gated Mixture-of-Experts to Separate and Interpret Patient Heterogeneity in EHR data. BHI 2021: 1-4 - [c73]Xinjie Fan, Shujian Zhang, Korawat Tanwisuth, Xiaoning Qian, Mingyuan Zhou:
Contextual Dropout: An Efficient Sample-Dependent Dropout Module. ICLR 2021 - [c72]Guang Zhao, Edward R. Dougherty, Byung-Jun Yoon, Francis J. Alexander, Xiaoning Qian:
Uncertainty-aware Active Learning for Optimal Bayesian Classifier. ICLR 2021 - [c71]Guang Zhao, Edward R. Dougherty, Byung-Jun Yoon, Francis J. Alexander, Xiaoning Qian:
Efficient Active Learning for Gaussian Process Classification by Error Reduction. NeurIPS 2021: 9734-9746 - [i26]Xinjie Fan, Shujian Zhang, Korawat Tanwisuth, Xiaoning Qian, Mingyuan Zhou:
Contextual Dropout: An Efficient Sample-Dependent Dropout Module. CoRR abs/2103.04181 (2021) - [i25]Omar Maddouri, Xiaoning Qian, Byung-Jun Yoon:
Geometric Affinity Propagation for Clustering with Network Knowledge. CoRR abs/2103.14376 (2021) - [i24]Omar Maddouri, Xiaoning Qian, Francis J. Alexander, Edward R. Dougherty, Byung-Jun Yoon:
Robust Importance Sampling for Error Estimation in the Context of Optimal Bayesian Transfer Learning. CoRR abs/2109.02150 (2021) - [i23]Hyun-Myung Woo, Xiaoning Qian, Li Tan, Shantenu Jha, Francis J. Alexander, Edward R. Dougherty, Byung-Jun Yoon:
Optimal Decision Making in High-Throughput Virtual Screening Pipelines. CoRR abs/2109.11683 (2021) - [i22]Seyednami Niyakan, Xiaoning Qian:
COVID-Datathon: Biomarker identification for COVID-19 severity based on BALF scRNA-seq data. CoRR abs/2110.04986 (2021) - 2020
- [j72]Yijie Wang, Hyundoo Jeong, Byung-Jun Yoon, Xiaoning Qian:
ClusterM: a scalable algorithm for computational prediction of conserved protein complexes across multiple protein interaction networks. BMC Genom. 21(S-10) (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) - [c70]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 - [c69]Shahin Boluki, Randy Ardywibowo, Siamak Zamani Dadaneh, Mingyuan Zhou, Xiaoning Qian:
Learnable Bernoulli Dropout for Bayesian Deep Learning. AISTATS 2020: 3905-3916 - [c68]Qing Jin, Linjie Yang, Zhenyu Liao, Xiaoning Qian:
Neural Network Quantization with Scale-Adjusted Training. BMVC 2020 - [c67]Siamak Zamani Dadaneh, Shahin Boluki, Mingyuan Zhou, Xiaoning Qian:
Arsm Gradient Estimator for Supervised Learning to Rank. ICASSP 2020: 3157-3161 - [c66]Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna Narayanan, Mingyuan Zhou, Xiaoning Qian:
Semi-Implicit Stochastic Recurrent Neural Networks. ICASSP 2020: 3342-3346 - [c65]Randy Ardywibowo, Shahin Boluki, Xinyu Gong, Zhangyang Wang, Xiaoning Qian:
NADS: Neural Architecture Distribution Search for Uncertainty Awareness. ICML 2020: 356-366 - [c64]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 - [c63]Ameer Hamza Shakur, Xiaoning Qian, Zhangyang Wang, Bobak Mortazavi, Shuai Huang:
GPSRL: Learning Semi-Parametric Bayesian Survival Rule Lists from Heterogeneous Patient Data. ICPR 2020: 10608-10615 - [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 B. 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 Arróyave, 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]Xiaoning Qian, Edward R. Dougherty:
Phenotypically constrained Boolean network inference with prescribed steady states. GENSiPS 2013: 82-83 - [c25]Yijie Wang, Xiaoning Qian:
Identifying overlapping functional modules in biological networks by Markov random walk. GlobalSIP 2013: 89-92 - [c24]Wei Dai, Yu Sun, Xiaoning Qian:
Functional analysis of grasping motion. IROS 2013: 3507-3513 - [c23]Bingxiong Lin, Adrian S. Johnson, Xiaoning Qian, Jaime Sánchez, Yu Sun:
Simultaneous Tracking, 3D Reconstruction and Deforming Point Detection for Stereoscope Guided Surgery. AE-CAI 2013: 35-44 - [c22]Bingxiong Lin, Yu Sun, Xiaoning Qian:
Thin plate spline feature point matching for organ surfaces in minimally invasive surgery imaging. Image-Guided Procedures 2013: 867112 - 2012
- [j16]Byung-Jun Yoon, Xiaoning Qian, Sayed Mohammad Ebrahim Sahraeian:
Comparative Analysis of Biological Networks: Hidden Markov model and Markov chain-based approach. IEEE Signal Process. Mag. 29(1): 22-34 (2012) - [j15]Xiaoning Qian, Edward R. Dougherty:
Intervention in Gene Regulatory Networks via Phenotypically Constrained Control Policies Based on Long-Run Behavior. IEEE ACM Trans. Comput. Biol. Bioinform. 9(1): 123-136 (2012) - [c21]Meng Lu, Jianhua Z. Huang, Xiaoning Qian:
Supervised logistic principal component analysis for pathway based genome-wide association studies. BCB 2012: 52-59 - [c20]Yijie Wang, Xiaoning Qian:
Functional module identification by block modeling using simulated annealing with path relinking. BCB 2012: 123-130 - [c19]Xiaoning Qian:
A new phenotypically constrained control policy in boolean networks based on basins of attraction. GENSiPS 2012: 54-57 - [c18]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. GENSiPS 2012: 66-69 - [c17]Meng Lu, Hye-Seung Lee, David Hadley, Jianhua Z. Huang, Xiaoning Qian:
Logistic principal component analysis for rare variants in gene-environment interaction analysis. GENSiPS 2012: 122-125 - [c16]Seyed Javad Sajjadi, Xiaoning Qian, Bo Zeng:
Network-based methods to identify highly discriminating subsets of biomarkers. GENSiPS 2012: 139-142 - [c15]Xiaoning Qian, Byung-Jun Yoon, Edward R. Dougherty:
Structural intervention of gene regulatory networks by general rank-k matrix perturbation. ICASSP 2012: 729-732 - [c14]Md. Imrul Kayes, Xiaoning Qian, John Skvoretz, Adriana Iamnitchi:
How Influential Are You: Detecting Influential Bloggers in a Blogging Community. SocInfo 2012: 29-42 - 2011
- [j14]Xiaoning Qian, Byung-Jun Yoon:
Comparative analysis of protein interaction networks reveals that conserved pathways are susceptible to HIV-1 interception. BMC Bioinform. 12(S-1): S19 (2011) - [j13]Noushin Ghaffari, Ivan Ivanov, Xiaoning Qian, Edward R. Dougherty:
A CoD-based stationary control policy for intervening in large gene regulatory networks. BMC Bioinform. 12(S-10): S10 (2011) - [j12]Xiaoning Qian, Sayed Mohammad Ebrahim Sahraeian, Byung-Jun Yoon:
Enhancing the accuracy of HMM-based conserved pathway prediction using global correspondence scores. BMC Bioinform. 12(S-10): S6 (2011) - [c13]Byung-Jun Yoon, Xiaoning Qian:
Session TA8a1: Signal processing methods for representation, analysis, and control of biological systems. ACSCC 2011: 995-996 - [c12]Xiaoning Qian, Byung-Jun Yoon, Edward R. Dougherty:
Uncertainty-based essentiality in gene regulatory networks. GENSiPS 2011: 17-20 - [c11]Xiaoning Qian, Byung-Jun Yoon:
Contour-based hidden Markov model to segment 2D ultrasound images. ICASSP 2011: 705-708 - 2010
- [j11]Noushin Ghaffari, Ivan Ivanov, Xiaoning Qian, Edward R. Dougherty:
A CoD-based reduction algorithm for designing stationary control policies on Boolean networks. Bioinform. 26(12): 1556-1563 (2010) - [j10]Xiaoning Qian, Noushin Ghaffari, Ivan Ivanov, Edward R. Dougherty:
State reduction for network intervention in probabilistic Boolean networks. Bioinform. 26(24): 3098-3104 (2010) - [j9]Xiaoning Qian, Hemant D. Tagare:
Adapting indexing trees to data distribution in feature spaces. Comput. Vis. Image Underst. 114(1): 111-124 (2010) - [j8]Edward R. Dougherty, Ranadip Pal, Xiaoning Qian, Michael L. Bittner, Aniruddha Datta:
Stationary and structural control in gene regulatory networks: basic concepts. Int. J. Syst. Sci. 41(1): 5-16 (2010) - [j7]Xiaoning Qian, Hemant D. Tagare, Robert K. Fulbright, L. Rodney Long, Sameer K. Antani:
Optimal embedding for shape indexing in medical image databases. Medical Image Anal. 14(3): 243-254 (2010) - [j6]Ivan Ivanov, Plamen Simeonov, Noushin Ghaffari, Xiaoning Qian, Edward R. Dougherty:
Selection policy-induced reduction mappings for Boolean networks. IEEE Trans. Signal Process. 58(9): 4871-4882 (2010) - [c10]Xiaoning Qian, Edward R. Dougherty:
A comparative study on sensitivities of Boolean networks. GENSiPS 2010: 1-4 - [c9]Xiaoning Qian, Byung-Jun Yoon:
Shape matching based on graph alignment using hidden Markov models. ICASSP 2010: 934-937 - [c8]Jung W. Suh, Dustin Scheinost, Xiaoning Qian, Albert J. Sinusas, Christopher K. Breuer, Xenophon Papademetris:
Serial nonrigid vascular registration using weighted normalized mutual information. ISBI 2010: 25-28
2000 – 2009
- 2009
- [j5]Xiaoning Qian, Ivan Ivanov, Noushin Ghaffari, Edward R. Dougherty:
Intervention in gene regulatory networks via greedy control policies based on long-run behavior. BMC Syst. Biol. 3: 61 (2009) - [j4]Xiaoning Qian, Sing-Hoi Sze, Byung-Jun Yoon:
Querying Pathways in Protein Interaction Networks Based on Hidden Markov Models. J. Comput. Biol. 16(2): 145-157 (2009) - [j3]Xiaoning Qian, Matthew P. Brennan, Donald P. Dione, Wawrzyniec L. Dobrucki, Marcel Jackowski, Christopher K. Breuer, Albert J. Sinusas, Xenophon Papademetris:
A non-parametric vessel detection method for complex vascular structures. Medical Image Anal. 13(1): 49-61 (2009) - [c7]Xiaoning Qian, Edward R. Dougherty:
Control-compatible state reduction for Boolean networks. GENSiPS 2009: 1-2 - 2008
- [j2]Xiaoning Qian, Edward R. Dougherty:
Effect of Function Perturbation on the Steady-State Distribution of Genetic Regulatory Networks: Optimal Structural Intervention. IEEE Trans. Signal Process. 56(10-1): 4966-4976 (2008) - [j1]Alark Joshi, Xiaoning Qian, Donald P. Dione, Ketan R. Bulsara, Christopher K. Breuer, Albert J. Sinusas, Xenophon Papademetris:
Effective visualization of complex vascular structures using a non-parametric vessel detection method. IEEE Trans. Vis. Comput. Graph. 14(6): 1603-1610 (2008) - 2007
- [c6]Xiaoning Qian, Matthew P. Brennan, Donald P. Dione, Lawrence W. Dobrucki:
Detection of Complex Vascular Structures using Polar Neighborhood Intensity Profile. ICCV 2007: 1-8 - 2006
- [c5]Xiaoning Qian, Hemant D. Tagare, Zhong Tao:
Segmentation of Rat Cardiac Ultrasound Images with Large Dropout Regions. CVPR Workshops 2006: 93 - [c4]Xiaoning Qian, Hemant D. Tagare:
Overcoming dropout while segmenting cardiac ultrasound images. ISBI 2006: 105-108 - 2005
- [c3]Xiaoning Qian, Hemant D. Tagare:
Optimal Embedding for Shape Indexing in Medical Image Databases. MICCAI (2) 2005: 377-384 - 2004
- [c2]Hemant D. Tagare, Xiaoning Qian, Robert K. Fulbright, L. Rodney Long, Sameer K. Antani:
Shape based retrieval in NHANES II. ACM Multimedia 2004: 776-779 - 2002
- [c1]Xiaoning Qian, Hemant D. Tagare:
Optimally adapted indexing trees for medical image databases. ISBI 2002: 321-324
Coauthor Index
[j88] [j86] [j85] [j84] [j83] [i37] [j79] [c83] [c81] [j78] [j77] [j73] [c75] [c72] [c71] [i24] [i23] [j69] [i16] [j68] [j63] [j60] [i13] [j55] [j51] [j50] [j48] [j47] [j46] [c55] [c54] [c53] [i7] [j45] [j39] [c49] [c48] [j30] [c40] [p1] [j17] [c26] [j15] [c15] [j13] [c12] [j11] [j10] [j8] [j6] [c10] [j5] [c7] [j2]
Nick G. Duffield
aka: Nick Duffield
aka: Nick Duffield
Bobak Mortazavi
aka: Bobak J. Mortazavi
aka: Bobak J. Mortazavi
Krishna Narayanan 0001
aka: Krishna R. Narayanan
aka: Krishna R. Narayanan
[j88] [c101] [c100] [c97] [c94] [c92] [i52] [i47] [i43] [i42] [i41] [i38] [j85] [j84] [j83] [j82] [j81] [c89] [i37] [i31] [j80] [j79] [c83] [c81] [j78] [c76] [c75] [c72] [c71] [i25] [i24] [i23] [j72] [j69] [i16] [j67] [j65] [j64] [j56] [j44] [j43] [j42] [j40] [c47] [j34] [c38] [p1] [j17] [j16] [c15] [j14] [j12] [c13] [c12] [c11] [c9] [j4]
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