| Power k-Means Clustering J Xu, K Lange International Conference on Machine Learning, 6921-6931, 2019 | 128 | 2019 |
| Stochastic variational inference for hidden Markov models NJ Foti, J Xu, D Laird, EB Fox Advances in Neural Information Processing Systems, 2014 | 121 | 2014 |
| Entropy weighted power k-means clustering S Chakraborty, D Paul, S Das, J Xu International conference on artificial intelligence and statistics, 691-701, 2020 | 82 | 2020 |
| Birth/birth-death processes and their computable transition probabilities with biological applications LST Ho, J Xu, FW Crawford, VN Minin, MA Suchard Journal of mathematical biology 76 (4), 911-944, 2018 | 73 | 2018 |
| Quantitative stability of hematopoietic stem and progenitor cell clonal output in rhesus macaques receiving transplants SJ Koelle, DA Espinoza, C Wu, J Xu, R Lu, B Li, RE Donahue, CE Dunbar Blood 129 (11), 1448-1457, 2017 | 72 | 2017 |
| Myosin-independent cytokinesis in Giardia utilizes flagella to coordinate force generation and direct membrane trafficking WR Hardin, R Li, J Xu, AM Shelton, GCM Alas, VN Minin, AR Paredez Proceedings of the National Academy of Sciences 114 (29), E5854-E5863, 2017 | 69 | 2017 |
| Generalized linear model regression under distance-to-set penalties J Xu, EC Chi, K Lange Advances in Neural Information Processing Systems, 2017 | 48 | 2017 |
| Likelihood-based inference for partially observed epidemics on dynamic networks F Bu, AE Aiello, J Xu, A Volfovsky Journal of the American Statistical Association 117 (537), 510-526, 2022 | 38 | 2022 |
| An Examination of School Reopening Strategies during the SARS-CoV-2 Pandemic A Landeros, X Ji, KL Lange, TC Stutz, J Xu, ME Sehl, JS Sinsheimer PloS one, 2021 | 31 | 2021 |
| Simple and Scalable Sparse k-means Clustering via Feature Ranking Z Zhang, K Lange, J Xu Advances in Neural Information Processing Systems 33, 2020 | 26 | 2020 |
| Likelihood‐based inference for discretely observed birth–death‐shift processes, with applications to evolution of mobile genetic elements J Xu, P Guttorp, M Kato‐Maeda, VN Minin Biometrics 71 (4), 1009-1021, 2015 | 26 | 2015 |
| Implicit Annealing in Kernel Spaces: A Strongly Consistent Clustering Approach D Paul, S Chakraborty, S Das, J Xu IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (5), 2023 | 24* | 2023 |
| Uniform concentration bounds toward a unified framework for robust clustering D Paul, S Chakraborty, S Das, J Xu Advances in Neural Information Processing Systems 34, 8307-8319, 2021 | 24 | 2021 |
| Statistical inference for partially observed branching processes with application to cell lineage tracking of in vivo hematopoiesis J Xu, S Koelle, P Guttorp, C Wu, CE Dunbar, JL Abkowitz, VN Minin The Annals of Applied Statistics, 2019 | 23* | 2019 |
| A Proximal Distance Algorithm for Likelihood-based Sparse Covariance Estimation J Xu, K Lange Biometrika 109 (4), 1047-1066, 2022 | 22 | 2022 |
| Visualizing hematopoiesis as a stochastic process J Xu, Y Wang, P Guttorp, JL Abkowitz Blood Advances 2 (20), 2637-2645, 2018 | 21 | 2018 |
| Projection onto Minkowski sums with application to constrained learning JH Won, J Xu, K Lange International Conference on Machine Learning, 3642-3651, 2019 | 20 | 2019 |
| Bayesian transfer learning PM Suder, J Xu, DB Dunson Statistical Science 40 (3), 477-494, 2025 | 18 | 2025 |
| A majorization–minimization algorithm for split feasibility problems J Xu, EC Chi, M Yang, K Lange Computational Optimization and Applications 71 (3), 795-828, 2018 | 18 | 2018 |
| Biconvex clustering S Chakraborty, J Xu Journal of Computational and Graphical Statistics, 1-23, 2023 | 17 | 2023 |
Kenneth LangeRosenfeld Professor of Computational Medicine, Human Genetics, and Statistics, UCLAVerified email at ucla.edu
