| Variational Graph Recurrent Neural Networks E Hajiramezanali, A Hasanzadeh, N Duffield, KR Narayanan, M Zhou, ... Advances in Neural Information Processing Systems (NeurIPS2019), 2019 | 32 | 2019 |
| Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data E Hajiramezanali, SZ Dadaneh, A Karbalayghareh, M Zhou, X Qian Advances in Neural Information Processing Systems (NeurIPS2018), 9115-9124, 2018 | 29 | 2018 |
| ASXL1 interacts with the cohesin complex to maintain chromatid separation and gene expression for normal hematopoiesis Z Li, P Zhang, A Yan, Z Guo, Y Ban, J Li, S Chen, H Yang, Y He, J Li, ... Science advances 3 (1), e1601602, 2017 | 27 | 2017 |
| Semi-Implicit Graph Variational Auto-Encoders A Hasanzadeh, E Hajiramezanali, N Duffield, KR Narayanan, M Zhou, ... Advances in Neural Information Processing Systems (NeurIPS2019), 2019 | 23 | 2019 |
| Scalable Optimal Bayesian Classification of Single-Cell Trajectories under Regulatory Model Uncertainty E Hajiramezanali, M Imani, UM Braga-Neto, X Qian, ER Dougherty BMC genomics 20, 2018 | 18 | 2018 |
| Denoising based on multivariate stochastic volatility modeling of multiwavelet coefficients SH Fouladi, M Hajiramezanali, H Amindavar, JA Ritcey, P Arabshahi IEEE transactions on signal processing 61 (22), 5578-5589, 2013 | 11 | 2013 |
| Differential expression analysis of dynamical sequencing count data with a gamma markov chain E Hajiramezanali, SZ Dadaneh, P de Figueiredo, SH Sze, M Zhou, X Qian arXiv preprint arXiv:1803.02527, 2018 | 10 | 2018 |
| Bayesian Graph Neural Networks with Adaptive Connection Sampling A Hasanzadeh, E Hajiramezanali, S Boluki, M Zhou, N Duffield, ... International Conference on Machine Learning (ICML), 2020 | 7 | 2020 |
| Stochastic differential equations for modeling of high maneuvering target tracking M Hajiramezanali, SH Fouladi, JA Ritcey, H Amindavar ETRI Journal 35 (5), 849-858, 2013 | 5 | 2013 |
| Maneuvering target tracking based on SDE driven by GARCH volatility M Hajiramezanali, H Amindavar 2012 IEEE Statistical Signal Processing Workshop (SSP), 764-767, 2012 | 5 | 2012 |
| Maneuvering target tracking based on combined stochastic differential equations and GARCH process M Hajiramezanali, H Amindavar 2012 11th International Conference on Information Science, Signal Processing …, 2012 | 5 | 2012 |
| Design and implementation of ANC algorithm for engine noise reduction inside an automotive cabin using TMS320C5510 MEHR Ali, MA Attari 2011 19th Iranian Conference on Electrical Engineering, 1-6, 2011 | 4 | 2011 |
| Semi-Implicit Stochastic Recurrent Neural Networks E Hajiramezanali, A Hasanzadeh, N Duffield, K Narayanan, M Zhou, ... 2020 International Conference on Acoustics, Speech, and Signal Processing …, 2020 | 1 | 2020 |
| SimCD: Simultaneous Clustering and Differential expression analysis for single-cell transcriptomic data S Niyakan, E Hajiramezanali, S Boluki, SZ Dadaneh, X Qian arXiv preprint arXiv:2104.01512, 2021 | | 2021 |
| BayReL: Bayesian Relational Learning for Multi-omics Data Integration A Hasanzadeh, E Hajiramezanali, N Duffield, K Narayanan, M Zhou, ... Advances in neural information processing systems 33, 2020 | | 2020 |
| Variational Graph Recurrent Neural Networks A Hasanzadeh, E Hajiramezanali, K Narayanan, N Duffield, M Zhou, ... Advances in neural information processing systems 32, 2019 | | 2019 |
| BayReL: Bayesian Relational Learning for Multi-omics Data Integration: Supplementary Materials E Hajiramezanali, A Hasanzadeh, N Duffield, K Narayanan, X Qian | | |
| Variational Graph Recurrent Neural Networks: Supplementary Material E Hajiramezanali, A Hasanzadeh, N Duffield, K Narayanan, M Zhou, ... | | |
| Semi-Implicit Graph Variational Auto-Encoders: Supplementary Material A Hasanzadeh, E Hajiramezanali, N Duffield, K Narayanan, M Zhou, ... | | |
Xiaoning QianTexas A&M UniversityVerified email at ece.tamu.edu
