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2020 – today
- 2024
[i13]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)- [i12]Brandon McKinzie, Zhe Gan, Jean-Philippe Fauconnier, Sam Dodge, Bowen Zhang, Philipp Dufter, Dhruti Shah, Xianzhi Du, Futang Peng, Floris Weers, Anton Belyi, Haotian Zhang, Karanjeet Singh, Doug Kang, Ankur Jain, Hongyu Hè, Max Schwarzer, Tom Gunter, Xiang Kong, Aonan Zhang, Jianyu Wang, Chong Wang, Nan Du, Tao Lei, Sam Wiseman, Guoli Yin, Mark Lee, Zirui Wang, Ruoming Pang, Peter Grasch, Alexander Toshev, Yinfei Yang:
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training. CoRR abs/2403.09611 (2024) - [i11]Aonan Zhang, Chong Wang, Yi Wang, Xuanyu Zhang, Yunfei Cheng:
Recurrent Drafter for Fast Speculative Decoding in Large Language Models. CoRR abs/2403.09919 (2024) - [i10]Xianzhi Du, Tom Gunter, Xiang Kong, Mark Lee, Zirui Wang, Aonan Zhang, Nan Du, Ruoming Pang:
Revisiting MoE and Dense Speed-Accuracy Comparisons for LLM Training. CoRR abs/2405.15052 (2024) - [i9]Guoli Yin, Haoping Bai, Shuang Ma, Feng Nan, Yanchao Sun, Zhaoyang Xu, Shen Ma, Jiarui Lu, Xiang Kong, Aonan Zhang, Dian Ang Yap, Yizhe zhang, Karsten Ahnert, Vik Kamath, Mathias Berglund, Dominic Walsh, Tobias Gindele, Juergen Wiest, Zhengfeng Lai, Xiaoming Wang, Jiulong Shan, Meng Cao, Ruoming Pang, Zirui Wang:
MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains. CoRR abs/2407.18961 (2024) - [i8]Tom Gunter, Zirui Wang, Chong Wang, Ruoming Pang, Andy Narayanan, Aonan Zhang, Bowen Zhang, Chen Chen, Chung-Cheng Chiu, David Qiu, Deepak Gopinath, Dian Ang Yap, Dong Yin, Feng Nan, Floris Weers, Guoli Yin, Haoshuo Huang, Jianyu Wang, Jiarui Lu, John Peebles, Ke Ye, Mark Lee, Nan Du, Qibin Chen, Quentin Keunebroek, Sam Wiseman, Syd Evans, Tao Lei, Vivek Rathod, Xiang Kong, Xianzhi Du, Yanghao Li, Yongqiang Wang, Yuan Gao, Zaid Ahmed, Zhaoyang Xu, Zhiyun Lu, Al Rashid, Albin Madappally Jose, Alec Doane, Alfredo Bencomo, Allison Vanderby, Andrew Hansen, Ankur Jain, Anupama Mann Anupama, Areeba Kamal, Bugu Wu, Carolina Brum, Charlie Maalouf, Chinguun Erdenebileg, Chris Dulhanty, Dominik Moritz, Doug Kang, Eduardo Jimenez, Evan Ladd, Fangping Shi, Felix Bai, Frank Chu, Fred Hohman, Hadas Kotek, Hannah Gillis Coleman, Jane Li, Jeffrey P. Bigham, Jeffery Cao, Jeff Lai, Jessica Cheung, Jiulong Shan, Joe Zhou, John Li, Jun Qin, Karanjeet Singh, Karla Vega, Kelvin Zou, Laura Heckman, Lauren Gardiner, Margit Bowler, Maria Cordell, Meng Cao, Nicole Hay, Nilesh Shahdadpuri, Otto Godwin, Pranay Dighe, Pushyami Rachapudi, Ramsey Tantawi, Roman Frigg, Sam Davarnia, Sanskruti Shah, Saptarshi Guha, Sasha Sirovica, Shen Ma, Shuang Ma, Simon Wang, Sulgi Kim, Suma Jayaram, Vaishaal Shankar, Varsha Paidi, Vivek Kumar, Xin Wang, Xin Zheng, Walker Cheng:
Apple Intelligence Foundation Language Models. CoRR abs/2407.21075 (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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last updated on 2024-08-25 20:08 CEST by the dblp team
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