| Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data E Hajiramezanali, S Zamani Dadaneh, A Karbalayghareh, M Zhou, ... Advances in Neural Information Processing Systems 31, 2018 | 74 | 2018 |
| Learnable Bernoulli dropout for Bayesian deep learning S Boluki, R Ardywibowo, SZ Dadaneh, M Zhou, X Qian International Conference on Artificial Intelligence and Statistics, 3905-3916, 2020 | 46 | 2020 |
| BNP-Seq: Bayesian nonparametric differential expression analysis of sequencing count data SZ Dadaneh, X Qian, M Zhou Journal of the American Statistical Association 113 (521), 81-94, 2018 | 34 | 2018 |
| Integration of Knowledge Graph Embedding Into Topic Modeling with Hierarchical Dirichlet Process D Li, S Zamani, J Zhang, P Li Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 31 | 2019 |
| Optimal clustering with missing values S Boluki, S Zamani Dadaneh, X Qian, ER Dougherty BMC bioinformatics 20, 1-10, 2019 | 28 | 2019 |
| Pairwise supervised hashing with Bernoulli variational auto-encoder and self-control gradient estimator SZ Dadaneh, S Boluki, M Yin, M Zhou, X Qian Conference on Uncertainty in Artificial Intelligence, 540-549, 2020 | 23 | 2020 |
| Bayesian negative binomial regression for differential expression with confounding factors SZ Dadaneh, M Zhou, X Qian Bioinformatics 34 (19), 3349-3356, 2018 | 22 | 2018 |
| Optimal Bayesian Classification With Missing Values S Zamani Dadaneh, ER Dougherty, X Qian IEEE Transactions on Signal Processing 66 (16), 4182-4192, 2018 | 18 | 2018 |
| Bayesian module identification from multiple noisy networks S Zamani Dadaneh, X Qian EURASIP Journal on Bioinformatics and Systems Biology 2016, 1-11, 2016 | 18 | 2016 |
| Bayesian gamma-negative binomial modeling of single-cell RNA sequencing data SZ Dadaneh, P de Figueiredo, SH Sze, M Zhou, X Qian BMC genomics 21, 1-10, 2020 | 14 | 2020 |
| 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 | 12 | 2018 |
| Arsm gradient estimator for supervised learning to rank SZ Dadaneh, S Boluki, M Zhou, X Qian ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 7 | 2020 |
| Covariate-dependent negative binomial factor analysis of RNA sequencing data S Zamani Dadaneh, M Zhou, X Qian Bioinformatics 34 (13), i61–i69, 2018 | 7 | 2018 |
| 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 | 5 | 2021 |
| Towards deeper understanding of variational auto-encoders for binary collaborative filtering S Zamany, D Li, H Fei, P Li Proceedings of the 2022 ACM SIGIR International Conference on Theory of …, 2022 | 3 | 2022 |
| Sequential sampling for optimal bayesian classification of sequencing count data A Broumand, SZ Dadaneh 2018 52nd Asilomar Conference on Signals, Systems, and Computers, 1357-1361, 2018 | 3 | 2018 |
| Integration of knowledge graph embedding into topic modeling with hierarchical dirichlet process SZD Dingcheng Li, Jingyuan Zhang, Ping Li US Patent App. 16/427,225, 2020 | 2* | 2020 |
| Bayesian Proper Orthogonal Decomposition for Learnable Reduced-Order Models With Uncertainty Quantification S Boluki, SZ Dadaneh, ER Dougherty, X Qian IEEE Transactions on Artificial Intelligence 5 (3), 1162-1173, 2023 | 1 | 2023 |
| ARSM Gradient Estimator for Supervised Learning to Rank S Zamani Dadaneh, S Boluki, M Zhou, X Qian arXiv e-prints, arXiv: 1911.00465, 2019 | | 2019 |
| Bayesian Gamma-Negative Binomial Modeling of Single-Cell RNA Sequencing Data S Zamani Dadaneh, P de Figueiredo, SH Sze, M Zhou, X Qian arXiv e-prints, arXiv: 1908.00650, 2019 | | 2019 |
Xiaoning QianTexas A&M UniversityVerified email at ece.tamu.edu