| Dynamic Probabilistic Models for Latent Feature Propagation in Social Networks C Heaukulani, Z Ghahramani ICML (2013), 2013 | 96 | 2013 |
| HOPES: An Integrative Digital Phenotyping Platform for Data Collection, Monitoring, and Machine Learning X Wang, N Vouk, C Heaukulani, T Buddhika, W Martanto, J Lee, ... Journal of Medical Internet Research 23 (3), e23984, 2021 | 27 | 2021 |
| Scalable Bayesian dynamic covariance modeling with variational Wishart and inverse Wishart processes C Heaukulani, M van der Wilk NeurIPS (2019), 2019 | 20 | 2019 |
| The combinatorial structure of beta negative binomial processes C Heaukulani, DM Roy Bernoulli 22 (4), 2301-2324, 2016 | 19 | 2016 |
| Gibbs-type Indian buffet processes C Heaukulani, DM Roy Bayesian Analysis 15 (3), 683--710, 2020 | 15* | 2020 |
| Beta diffusion trees and hierarchical feature allocations C Heaukulani, DA Knowles, Z Ghahramani ICML (2014); Extended version: arXiv:1408.3378, 2014 | 12* | 2014 |
| Evaluating the utility of digital phenotyping to predict health outcomes in schizophrenia: protocol for the HOPE-S observational study NAA Rashid, W Martanto, Z Yang, X Wang, C Heaukulani, N Vouk, ... BMJ open 11 (10), e046552, 2021 | 11 | 2021 |
| Bayesian inference on random simple graphs with power law degree distributions J Lee, C Heaukulani, Z Ghahramani, LF James, S Choi ICML (2017), 2017 | 8 | 2017 |
| Association between wrist wearable digital markers and clinical status in Schizophrenia W Martanto, YY Koh, Z Yang, C Heaukulani, X Wang, NAA Rashid, A Sim, ... General hospital psychiatry 70, 134-136, 2021 | 2 | 2021 |
| Variational inference for neural network matrix factorization and its application to stochastic blockmodeling O Kampman, C Heaukulani ICML 2019 Workshop on Learning and Reasoning with Graph-Structured Data, 2019 | 2 | 2019 |
| Generalized IBPs, random multisets, and tree-structured feature allocations C Heaukulani University of Cambridge, 2015 | 2 | 2015 |
| Perceived Usability, User Preferences and Impact of a Workplace Digital Mental Wellness Platform “Mindline at Work”: A Mixed Methods Study S Yoon, H Goh, XC Low, JH Weng, C Heaukulani | 1* | 2023 |
| Black-box constructions for exchangeable sequences of random multisets C Heaukulani, DM Roy arXiv preprint arXiv:1908.06349, 2019 | 1 | 2019 |
| Latent Dirichlet Reallocation for Term Swapping C Heaukulani, J Le Roux, JR Hershey International Workshop on Statistical Machine Learning for Speech Processing …, 2012 | 1 | 2012 |
| Mental Wellness Self-Care in Singapore With mindline. sg: A Tutorial on the Development of a Digital Mental Health Platform for Behavior Change JH Weng, Y Hu, C Heaukulani, C Tan, JK Chang, YS Phang, ... Journal of Medical Internet Research 26, e44443, 2024 | | 2024 |
| Modelling financial volume curves with hierarchical Poisson processes C Heaukulani, A Pandey, LF James arXiv preprint arXiv:2406.19402, 2024 | | 2024 |
| Deploying AI Methods for Mental Health in Singapore: From Mental Wellness to Serious Mental Health Conditions. C Heaukulani, YS Phang, JH Weng, J Lee, RJT Morris ML4CMH@ AAAI, 84-93, 2024 | | 2024 |
| Perceptions of a Digital Mental Health Platform Among Participants With Depressive Disorder, Anxiety Disorder, and Other Clinically Diagnosed Mental Disorders in Singapore … YS Phang, C Heaukulani, W Martanto, R Morris, MM Tong, R Ho JMIR Human Factors 10, e42167, 2023 | | 2023 |
| Supplementary Material: Bayesian inference on random simple graphs with power law degree distributions J Lee, C Heaukulani, Z Ghahramani, LF James, S Choi ICML (2017), 2017 | | 2017 |
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, Google在 eng.cam.ac.uk 的电子邮件经过验证
