Aonan Zhang - RankMe

35 papers A* 9A 1B 2Misc 2Journal 17Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains. NAACL (Findings) 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
2025	A*	`conf`	Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo. ICLR Shengyu Feng, Xiang Kong, Shuang Ma, Aonan Zhang, Dong Yin, Chong Wang, Ruoming Pang, Yiming Yang
2025	J	`jnl`	Synthetic bootstrapped pretraining. CoRR Zitong Yang, Aonan Zhang, Hong Liu, Tatsunori Hashimoto, Emmanuel J. Candès, Chong Wang, Ruoming Pang
2025	J	`jnl`	fProcessor: NonIntrusive and On-the-Fly File Data Preprocessing Using eBPF. IEEE Access Peng Wang, Aonan Zhang, Haozhe Lang, Xiaofan Xu, Shichen Zhang, Lijuan Diao
2024	—	`conf`	Divide-or-Conquer? Which Part Should You Distill Your LLM? EMNLP (Findings) Zhuofeng Wu, Richard He Bai, Aonan Zhang, Jiatao Gu, V. G. Vinod Vydiswaran, Navdeep Jaitly, Yizhe Zhang
2024	J	`jnl`	Divide-or-Conquer? Which Part Should You Distill Your LLM? CoRR Zhuofeng Wu, He Bai, Aonan Zhang, Jiatao Gu, V. G. Vinod Vydiswaran, Navdeep Jaitly, Yizhe Zhang
2024	J	`jnl`	MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training. CoRR 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
2024	—	`conf`	MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training. ECCV (29) 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
2024	J	`jnl`	MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains. CoRR 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
2024	J	`jnl`	Recurrent Drafter for Fast Speculative Decoding in Large Language Models. CoRR Aonan Zhang, Chong Wang, Yi Wang, Xuanyu Zhang, Yunfei Cheng
2024	J	`jnl`	Revisiting MoE and Dense Speed-Accuracy Comparisons for LLM Training. CoRR Xianzhi Du, Tom Gunter, Xiang Kong, Mark Lee, Zirui Wang, Aonan Zhang, Nan Du, Ruoming Pang
2024	J	`jnl`	Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo. CoRR Shengyu Feng, Xiang Kong, Shuang Ma, Aonan Zhang, Dong Yin, Chong Wang, Ruoming Pang, Yiming Yang
2023	A*	`conf`	Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems. KDD Xiaohui Chen, Jiankai Sun, Taiqing Wang, Ruocheng Guo, Li-Ping Liu, Aonan Zhang
2023	J	`jnl`	Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems. CoRR Xiaohui Chen, Jiankai Sun, Taiqing Wang, Ruocheng Guo, Li-Ping Liu, Aonan Zhang
2022	J	`jnl`	Collaborative Anomaly Detection. CoRR Ke Bai, Aonan Zhang, Zhizhong Li, Ricardo Henao, Chong Wang, Lawrence Carin
2022	J	`jnl`	NVDiff: Graph Generation through the Diffusion of Node Vectors. CoRR Xiaohui Chen, Yukun Li, Aonan Zhang, Li-Ping Liu
2021	A*	`conf`	Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data. NeurIPS HaiYing Wang, Aonan Zhang, Chong Wang
2021	J	`jnl`	Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data. CoRR HaiYing Wang, Aonan Zhang, Chong Wang
2021	J	`jnl`	Vertical Federated Learning without Revealing Intersection Membership. CoRR Jiankai Sun, Xin Yang, Yuanshun Yao, Aonan Zhang, Weihao Gao, Junyuan Xie, Chong Wang
2019	J	`jnl`	Ab initio phase estimation at the shot noise limit with on-off measurement. Quantum Inf. Process. Kaimin Zheng, Huichao Xu, Aonan Zhang, Xinghai Ning, Lijian Zhang
2019	Misc	`conf`	Fully Supervised Speaker Diarization. ICASSP Aonan Zhang, Quan Wang, Zhenyao Zhu, John W. Paisley, Chong Wang
2019	A*	`conf`	Random Function Priors for Correlation Modeling. ICML Aonan Zhang, John W. Paisley
2019	J	`jnl`	Random Function Priors for Correlation Modeling. CoRR Aonan Zhang, John W. Paisley
2018	B	`conf`	Asymptotic Simulated Annealing for Variational Inference. GLOBECOM San Gultekin, Aonan Zhang, John W. Paisley
2018	J	`jnl`	Convolutional Neural Network-Based Friction Model Using Pavement Texture Data. J. Comput. Civ. Eng. Guangwei Yang, Joshua Qiang Li, You Zhan, Yue Fei, Aonan Zhang
2018	A*	`conf`	Deep Bayesian Nonparametric Tracking. ICML Aonan Zhang, John W. Paisley
2018	J	`jnl`	Fully Supervised Speaker Diarization. CoRR Aonan Zhang, Quan Wang, Zhenyao Zhu, John W. Paisley, Chong Wang
2016	A*	`conf`	Markov Latent Feature Models. ICML Aonan Zhang, John W. Paisley
2016	A	`conf`	Stochastic Variational Inference for the HDP-HMM. AISTATS Aonan Zhang, San Gultekin, John W. Paisley
2015	A*	`conf`	Markov Mixed Membership Models. ICML Aonan Zhang, John W. Paisley
2014	A*	`conf`	Max-Margin Infinite Hidden Markov Models. ICML Aonan Zhang, Jun Zhu, Bo Zhang
2014	B	`conf`	Max-margin latent feature relational models for entity-attribute networks. IJCNN Fei Xia, Ning Chen, Jun Zhu, Aonan Zhang, Xiaoming Jin
2013	—	`conf`	Sparse Relational Topic Models for Document Networks. ECML/PKDD (1) Aonan Zhang, Jun Zhu, Bo Zhang
2013	A*	`conf`	Sparse online topic models. WWW Aonan Zhang, Jun Zhu, Bo Zhang
2004	Misc	`conf`	Confidence Intervals for the Autocorrelations of the Squares of GARCH Sequences. International Conference on Computational Science Piotr Kokoszka, Gilles Teyssière, Aonan Zhang