| Fully supervised speaker diarization A Zhang, Q Wang, Z Zhu, J Paisley, C Wang ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 267 | 2019 |
| Mm1: Methods, analysis & insights from multimodal llm pre-training B McKinzie, Z Gan, JP Fauconnier, S Dodge, B Zhang, P Dufter, D Shah, ... arXiv preprint arXiv:2403.09611, 2024 | 87 | 2024 |
| Vertical federated learning without revealing intersection membership J Sun, X Yang, Y Yao, A Zhang, W Gao, J Xie, C Wang arXiv preprint arXiv:2106.05508, 2021 | 35 | 2021 |
| Stochastic variational inference for the HDP-HMM A Zhang, S Gultekin, J Paisley Artificial Intelligence and Statistics, 800-808, 2016 | 35 | 2016 |
| Sparse online topic models A Zhang, J Zhu, B Zhang Proceedings of the 22nd international conference on World Wide Web, 1489-1500, 2013 | 32 | 2013 |
| Max-margin infinite hidden Markov models A Zhang, J Zhu, B Zhang International Conference on Machine Learning, 315-323, 2014 | 19 | 2014 |
| Nonuniform negative sampling and log odds correction with rare events data HY Wang, A Zhang, C Wang Advances in Neural Information Processing Systems 34, 19847-19859, 2021 | 18 | 2021 |
| Sparse relational topic models for document networks A Zhang, J Zhu, B Zhang Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013 | 17 | 2013 |
| Deep Bayesian nonparametric tracking A Zhang, J Paisley International conference on machine learning, 5833-5841, 2018 | 16 | 2018 |
| Nvdiff: Graph generation through the diffusion of node vectors X Chen, Y Li, A Zhang, L Liu arXiv preprint arXiv:2211.10794, 2022 | 15 | 2022 |
| Markov mixed membership models A Zhang, J Paisley International Conference on Machine Learning, 475-483, 2015 | 15 | 2015 |
| Recurrent drafter for fast speculative decoding in large language models A Zhang, C Wang, Y Wang, X Zhang, Y Cheng arXiv preprint arXiv:2403.09919, 2024 | 7 | 2024 |
| Asymptotic simulated annealing for variational inference S Gultekin, A Zhang, J Paisley 2018 IEEE Global Communications Conference (GLOBECOM), 1-7, 2018 | 5 | 2018 |
| Divide-or-Conquer? Which Part Should You Distill Your LLM? Z Wu, H Bai, A Zhang, J Gu, VG Vydiswaran, N Jaitly, Y Zhang arXiv preprint arXiv:2402.15000, 2024 | 4 | 2024 |
| Apple intelligence foundation language models T Gunter, Z Wang, C Wang, R Pang, A Narayanan, A Zhang, B Zhang, ... arXiv preprint arXiv:2407.21075, 2024 | 3 | 2024 |
| Fully supervised speaker diarization C Wang, A Zhang, Q Wang, ZHU Zhenyao US Patent 11,688,404, 2023 | 3 | 2023 |
| Collaborative anomaly detection K Bai, A Zhang, Z Li, R Heano, C Wang, L Carin arXiv preprint arXiv:2209.09923, 2022 | 3 | 2022 |
| Markov latent feature models A Zhang, J Paisley International Conference on Machine Learning, 1129-1137, 2016 | 3 | 2016 |
| Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems X Chen, J Sun, T Wang, R Guo, LP Liu, A Zhang Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 2 | 2023 |
| Random function priors for correlation modeling A Zhang, J Paisley International Conference on Machine Learning, 7424-7433, 2019 | 2 | 2019 |
John PaisleyColumbia UniversityVerified email at columbia.edu
