Aonan Zhang

According to our database, Aonan Zhang authored at least 27 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo.

Shengyu Feng, Xiang Kong, Shuang Ma, Aonan Zhang, Dong Yin, Chong Wang, Ruoming Pang, Yiming Yang

CoRR, 2024

Apple Intelligence Foundation Language Models.

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

CoRR, 2024

MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains.

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

CoRR, 2024

Revisiting MoE and Dense Speed-Accuracy Comparisons for LLM Training.

Xianzhi Du, Tom Gunter, Xiang Kong, Mark Lee, Zirui Wang, Aonan Zhang, Nan Du, Ruoming Pang

CoRR, 2024

Recurrent Drafter for Fast Speculative Decoding in Large Language Models.

Aonan Zhang, Chong Wang, Yi Wang, Xuanyu Zhang, Yunfei Cheng

CoRR, 2024

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training.

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

CoRR, 2024

Divide-or-Conquer? Which Part Should You Distill Your LLM?

Zhuofeng Wu, Richard He Bai, Aonan Zhang, Jiatao Gu, V. G. Vinod Vydiswaran, Navdeep Jaitly, Yizhe Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training.

Brandon McKinzie, Zhe Gan, Jean-Philippe Fauconnier, Sam Dodge, Bowen Zhang, Philipp Dufter, Dhruti Shah, Xianzhi Du, Futang Peng, Anton Belyi, Haotian Zhang, Karanjeet Singh, Doug Kang, Hongyu Hè, Max Schwarzer, Tom Gunter, Xiang Kong, Aonan Zhang, Jianyu Wang, Chong Wang, Nan Du, Tao Lei, Sam Wiseman, Mark Lee, Zirui Wang, Ruoming Pang, Peter Grasch, Alexander Toshev, Yinfei Yang

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems.

Xiaohui Chen, Jiankai Sun, Taiqing Wang, Ruocheng Guo, Li-Ping Liu, Aonan Zhang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

NVDiff: Graph Generation through the Diffusion of Node Vectors.

Xiaohui Chen, Yukun Li, Aonan Zhang, Li-Ping Liu

CoRR, 2022

Collaborative Anomaly Detection.

Ke Bai, Aonan Zhang, Zhizhong Li, Ricardo Henao, Chong Wang, Lawrence Carin

CoRR, 2022

2021

Vertical Federated Learning without Revealing Intersection Membership.

Jiankai Sun, Xin Yang, Yuanshun Yao, Aonan Zhang, Weihao Gao, Junyuan Xie, Chong Wang

CoRR, 2021

Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data.

HaiYing Wang, Aonan Zhang, Chong Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Ab initio phase estimation at the shot noise limit with on-off measurement.

Kaimin Zheng, Huichao Xu, Aonan Zhang, Xinghai Ning, Lijian Zhang

Quantum Inf. Process., 2019

Random Function Priors for Correlation Modeling.

Aonan Zhang, John W. Paisley

Proceedings of the 36th International Conference on Machine Learning, 2019

Fully Supervised Speaker Diarization.

Aonan Zhang, Quan Wang, Zhenyao Zhu, John W. Paisley, Chong Wang

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Convolutional Neural Network-Based Friction Model Using Pavement Texture Data.

Guangwei Yang, Joshua Qiang Li, You Zhan, Yue Fei, Aonan Zhang

J. Comput. Civ. Eng., 2018

Deep Bayesian Nonparametric Tracking.

Aonan Zhang, John W. Paisley

Proceedings of the 35th International Conference on Machine Learning, 2018

Asymptotic Simulated Annealing for Variational Inference.

San Gultekin, Aonan Zhang, John W. Paisley

Proceedings of the IEEE Global Communications Conference, 2018

2016

Markov Latent Feature Models.

Aonan Zhang, John W. Paisley

Proceedings of the 33nd International Conference on Machine Learning, 2016

Stochastic Variational Inference for the HDP-HMM.

Aonan Zhang, San Gultekin, John W. Paisley

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Markov Mixed Membership Models.

Aonan Zhang, John W. Paisley

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Max-margin latent feature relational models for entity-attribute networks.

Fei Xia, Ning Chen, Jun Zhu, Aonan Zhang, Xiaoming Jin

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Max-Margin Infinite Hidden Markov Models.

Aonan Zhang, Jun Zhu, Bo Zhang

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Sparse online topic models.

Aonan Zhang, Jun Zhu, Bo Zhang

Proceedings of the 22nd International World Wide Web Conference, 2013

Sparse Relational Topic Models for Document Networks.

Aonan Zhang, Jun Zhu, Bo Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

2004

Confidence Intervals for the Autocorrelations of the Squares of GARCH Sequences.

Piotr Kokoszka, Gilles Teyssière, Aonan Zhang

Proceedings of the Computational Science, 2004