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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
2762019
MM1: methods, analysis and insights from multimodal LLM pre-training
B McKinzie, Z Gan, JP Fauconnier, S Dodge, B Zhang, P Dufter, D Shah, ...
European Conference on Computer Vision, 304-323, 2025
1452025
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
392021
Stochastic variational inference for the HDP-HMM
A Zhang, S Gultekin, J Paisley
Artificial Intelligence and Statistics, 800-808, 2016
352016
Sparse online topic models
A Zhang, J Zhu, B Zhang
Proceedings of the 22nd international conference on World Wide Web, 1489-1500, 2013
322013
Nvdiff: Graph generation through the diffusion of node vectors
X Chen, Y Li, A Zhang, L Liu
arXiv preprint arXiv:2211.10794, 2022
212022
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
212021
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
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
162024
Deep Bayesian nonparametric tracking
A Zhang, J Paisley
International conference on machine learning, 5833-5841, 2018
162018
Markov mixed membership models
A Zhang, J Paisley
International Conference on Machine Learning, 475-483, 2015
152015
Recurrent drafter for fast speculative decoding in large language models
Y Cheng, A Zhang, X Zhang, C Wang, Y Wang
arXiv preprint arXiv:2403.09919, 2024
112024
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
92024
Asymptotic simulated annealing for variational inference
S Gultekin, A Zhang, J Paisley
2018 IEEE Global Communications Conference (GLOBECOM), 1-7, 2018
52018
Collaborative anomaly detection
K Bai, A Zhang, Z Li, R Heano, C Wang, L Carin
arXiv preprint arXiv:2209.09923, 2022
42022
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
32023
Markov latent feature models
A Zhang, J Paisley
International Conference on Machine Learning, 1129-1137, 2016
32016
Fully supervised speaker diarization
C Wang, A Zhang, Q Wang, ZHU Zhenyao
US Patent 11,688,404, 2023
22023
Random function priors for correlation modeling
A Zhang, J Paisley
International Conference on Machine Learning, 7424-7433, 2019
22019
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