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Aonan Zhang
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2020 – today
- 2024
- [i8]Zhuofeng Wu, He Bai, Aonan Zhang, Jiatao Gu, V. G. Vinod Vydiswaran, Navdeep Jaitly, Yizhe Zhang:
Divide-or-Conquer? Which Part Should You Distill Your LLM? CoRR abs/2402.15000 (2024) - 2023
- [c14]Xiaohui Chen, Jiankai Sun, Taiqing Wang, Ruocheng Guo, Li-Ping Liu, Aonan Zhang:
Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems. KDD 2023: 3865-3876 - [i7]Xiaohui Chen, Jiankai Sun, Taiqing Wang, Ruocheng Guo, Li-Ping Liu, Aonan Zhang:
Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems. CoRR abs/2305.16391 (2023) - 2022
- [i6]Ke Bai, Aonan Zhang, Zhizhong Li, Ricardo Henao, Chong Wang, Lawrence Carin:
Collaborative Anomaly Detection. CoRR abs/2209.09923 (2022) - [i5]Xiaohui Chen, Yukun Li, Aonan Zhang, Li-Ping Liu:
NVDiff: Graph Generation through the Diffusion of Node Vectors. CoRR abs/2211.10794 (2022) - 2021
- [c13]HaiYing Wang, Aonan Zhang, Chong Wang:
Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data. NeurIPS 2021: 19847-19859 - [i4]Jiankai Sun, Xin Yang, Yuanshun Yao, Aonan Zhang, Weihao Gao, Junyuan Xie, Chong Wang:
Vertical Federated Learning without Revealing Intersection Membership. CoRR abs/2106.05508 (2021) - [i3]HaiYing Wang, Aonan Zhang, Chong Wang:
Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data. CoRR abs/2110.13048 (2021)
2010 – 2019
- 2019
- [j2]Kaimin Zheng, Huichao Xu, Aonan Zhang, Xinghai Ning, Lijian Zhang:
Ab initio phase estimation at the shot noise limit with on-off measurement. Quantum Inf. Process. 18(11): 329 (2019) - [c12]Aonan Zhang, Quan Wang, Zhenyao Zhu, John W. Paisley, Chong Wang:
Fully Supervised Speaker Diarization. ICASSP 2019: 6301-6305 - [c11]Aonan Zhang, John W. Paisley:
Random Function Priors for Correlation Modeling. ICML 2019: 7424-7433 - [i2]Aonan Zhang, John W. Paisley:
Random Function Priors for Correlation Modeling. CoRR abs/1905.03826 (2019) - 2018
- [j1]Guangwei Yang, Joshua Qiang Li, You Zhan, Yue Fei, Aonan Zhang:
Convolutional Neural Network-Based Friction Model Using Pavement Texture Data. J. Comput. Civ. Eng. 32(6) (2018) - [c10]San Gultekin, Aonan Zhang, John W. Paisley:
Asymptotic Simulated Annealing for Variational Inference. GLOBECOM 2018: 1-7 - [c9]Aonan Zhang, John W. Paisley:
Deep Bayesian Nonparametric Tracking. ICML 2018: 5828-5836 - [i1]Aonan Zhang, Quan Wang, Zhenyao Zhu, John W. Paisley, Chong Wang:
Fully Supervised Speaker Diarization. CoRR abs/1810.04719 (2018) - 2016
- [c8]Aonan Zhang, San Gultekin, John W. Paisley:
Stochastic Variational Inference for the HDP-HMM. AISTATS 2016: 800-808 - [c7]Aonan Zhang, John W. Paisley:
Markov Latent Feature Models. ICML 2016: 1129-1137 - 2015
- [c6]Aonan Zhang, John W. Paisley:
Markov Mixed Membership Models. ICML 2015: 475-483 - 2014
- [c5]Aonan Zhang, Jun Zhu, Bo Zhang:
Max-Margin Infinite Hidden Markov Models. ICML 2014: 315-323 - [c4]Fei Xia, Ning Chen, Jun Zhu, Aonan Zhang, Xiaoming Jin:
Max-margin latent feature relational models for entity-attribute networks. IJCNN 2014: 1667-1674 - 2013
- [c3]Aonan Zhang, Jun Zhu, Bo Zhang:
Sparse Relational Topic Models for Document Networks. ECML/PKDD (1) 2013: 670-685 - [c2]Aonan Zhang, Jun Zhu, Bo Zhang:
Sparse online topic models. WWW 2013: 1489-1500
2000 – 2009
- 2004
- [c1]Piotr Kokoszka, Gilles Teyssière, Aonan Zhang:
Confidence Intervals for the Autocorrelations of the Squares of GARCH Sequences. International Conference on Computational Science 2004: 827-834
Coauthor Index
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