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Aonan Zhang
Aonan Zhang
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Title
Cited by
Cited by
Year
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
2432019
Stochastic variational inference for the HDP-HMM
A Zhang, S Gultekin, J Paisley
Artificial Intelligence and Statistics, 800-808, 2016
342016
Sparse online topic models
A Zhang, J Zhu, B Zhang
Proceedings of the 22nd international conference on World Wide Web, 1489-1500, 2013
322013
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
292021
Max-margin infinite hidden Markov models
A Zhang, J Zhu, B Zhang
International Conference on Machine Learning, 315-323, 2014
192014
Sparse relational topic models for document networks
A Zhang, J Zhu, B Zhang
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013
192013
Deep Bayesian nonparametric tracking
A Zhang, J Paisley
International conference on machine learning, 5833-5841, 2018
152018
Markov mixed membership models
A Zhang, J Paisley
International Conference on Machine Learning, 475-483, 2015
152015
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
112021
Asymptotic simulated annealing for variational inference
S Gultekin, A Zhang, J Paisley
2018 IEEE Global Communications Conference (GLOBECOM), 1-7, 2018
52018
Markov latent feature models
A Zhang, J Paisley
International Conference on Machine Learning, 1129-1137, 2016
32016
Random function priors for correlation modeling
A Zhang, J Paisley
International Conference on Machine Learning, 7424-7433, 2019
22019
Stochastic annealing for variational inference
S Gultekin, A Zhang, J Paisley
arXiv preprint arXiv:1505.06723, 2015
22015
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
12023
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
Fully supervised speaker diarization
C Wang, A Zhang, Q Wang, ZHU Zhenyao
US Patent 11,031,017, 2021
2021
Composing Deep Learning and Bayesian Nonparametric Methods
A Zhang
Columbia University, 2019
2019
Max-margin latent feature relational models for entity-attribute networks
F Xia, N Chen, J Zhu, A Zhang, X Jin
2014 International Joint Conference on Neural Networks (IJCNN), 1667-1674, 2014
2014
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