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 | 246 | 2019 |
Stochastic variational inference for the HDP-HMM A Zhang, S Gultekin, J Paisley Artificial Intelligence and Statistics, 800-808, 2016 | 34 | 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 |
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 | 29 | 2021 |
Max-margin infinite hidden Markov models A Zhang, J Zhu, B Zhang International Conference on Machine Learning, 315-323, 2014 | 19 | 2014 |
Sparse relational topic models for document networks A Zhang, J Zhu, B Zhang Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013 | 19 | 2013 |
Deep Bayesian nonparametric tracking A Zhang, J Paisley International conference on machine learning, 5833-5841, 2018 | 15 | 2018 |
Markov mixed membership models A Zhang, J Paisley International Conference on Machine Learning, 475-483, 2015 | 15 | 2015 |
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 | 11 | 2021 |
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 | 6 | 2024 |
Asymptotic simulated annealing for variational inference S Gultekin, A Zhang, J Paisley 2018 IEEE Global Communications Conference (GLOBECOM), 1-7, 2018 | 5 | 2018 |
Markov latent feature models A Zhang, J Paisley International Conference on Machine Learning, 1129-1137, 2016 | 3 | 2016 |
Random function priors for correlation modeling A Zhang, J Paisley International Conference on Machine Learning, 7424-7433, 2019 | 2 | 2019 |
Stochastic annealing for variational inference S Gultekin, A Zhang, J Paisley arXiv preprint arXiv:1505.06723, 2015 | 2 | 2015 |
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 | 1 | 2023 |
Determining online classifier performance via normalizing flows X Yang, ZHU Hanlin, T Liu, SUN Jiankai, Y Yao, A Zhang, C Wang US Patent App. 17/953,255, 2024 | | 2024 |
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 | | 2024 |
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 | | 2024 |
Fully supervised speaker diarization C Wang, A Zhang, Q Wang, ZHU Zhenyao US Patent 11,688,404, 2023 | | 2023 |
Data subsampling for recommendation systems A Zhang, SUN Jiankai, R Guo, W Taiqing, X Chen US Patent App. 18/070,461, 2023 | | 2023 |