Confidence Intervals for the Autocorrelations of the Squares of GARCH Sequences. - Piotr Kokoszka; Gilles Teyssière; Aonan Zhang (International Conference on Computational Science, 2004)

Sparse Relational Topic Models for Document Networks. - Aonan Zhang; Jun Zhu 001; Bo Zhang 010 (ECML/PKDD (1), 2013)

Sparse online topic models. - Aonan Zhang; Jun Zhu 001; Bo Zhang 010 (WWW, 2013)

Max-Margin Infinite Hidden Markov Models. - Aonan Zhang; Jun Zhu 001; Bo Zhang 010 (ICML, 2014)

Max-margin latent feature relational models for entity-attribute networks. - Fei Xia 005; Ning Chen 002; Jun Zhu 001; Aonan Zhang; Xiaoming Jin (IJCNN, 2014)

Markov Mixed Membership Models. - Aonan Zhang; John W. Paisley (ICML, 2015)

Stochastic Variational Inference for the HDP-HMM. - Aonan Zhang; San Gultekin; John W. Paisley (AISTATS, 2016)

Markov Latent Feature Models. - Aonan Zhang; John W. Paisley (ICML, 2016)

Asymptotic Simulated Annealing for Variational Inference. - San Gultekin; Aonan Zhang; John W. Paisley (GLOBECOM, 2018)

Deep Bayesian Nonparametric Tracking. - Aonan Zhang; John W. Paisley (ICML, 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)

Fully Supervised Speaker Diarization. - Aonan Zhang; Quan Wang; Zhenyao Zhu; John W. Paisley; Chong Wang 002 (ICASSP, 2019)

Random Function Priors for Correlation Modeling. - Aonan Zhang; John W. Paisley (ICML, 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)

Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data. - HaiYing Wang; Aonan Zhang; Chong Wang 002 (NeurIPS, 2021)

Vertical Federated Learning without Revealing Intersection Membership. - Jiankai Sun; Xin Yang 017; Yuanshun Yao; Aonan Zhang; Weihao Gao; Junyuan Xie; Chong Wang 002 (CoRR, 2021)

Collaborative Anomaly Detection. - Ke Bai 001; Aonan Zhang; Zhizhong Li 002; Ricardo Henao; Chong Wang 002; Lawrence Carin (CoRR, 2022)

NVDiff: Graph Generation through the Diffusion of Node Vectors. - Xiaohui Chen; Yukun Li; Aonan Zhang; Li-Ping Liu 001 (CoRR, 2022)

Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems. - Xiaohui Chen; Jiankai Sun; Taiqing Wang; Ruocheng Guo; Li-Ping Liu 001; Aonan Zhang (KDD, 2023)

MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training. - Brandon McKinzie; Zhe Gan; Jean-Philippe Fauconnier; Sam Dodge; Bowen Zhang 002; Philipp Dufter; Dhruti Shah; Xianzhi Du; Futang Peng; Anton Belyi; Haotian Zhang 005; Karanjeet Singh 003; et al. (ECCV (29), 2024)

Divide-or-Conquer? Which Part Should You Distill Your LLM? - Zhuofeng Wu 001; Richard He Bai; Aonan Zhang; Jiatao Gu; V. G. Vinod Vydiswaran; Navdeep Jaitly; Yizhe Zhang 002 (EMNLP (Findings), 2024)

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training. - Brandon McKinzie; Zhe Gan; Jean-Philippe Fauconnier; Sam Dodge; Bowen Zhang 002; Philipp Dufter; Dhruti Shah; Xianzhi Du; Futang Peng; Floris Weers; Anton Belyi; Haotian Zhang 005; et al. (CoRR, 2024)

Recurrent Drafter for Fast Speculative Decoding in Large Language Models. - Aonan Zhang; Chong Wang; Yi Wang; Xuanyu Zhang; Yunfei Cheng (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)

Apple Intelligence Foundation Language Models. - Tom Gunter; Zirui Wang; Chong Wang; Ruoming Pang; Andy Narayanan; Aonan Zhang; Bowen Zhang 002; Chen Chen 005; Chung-Cheng Chiu; David Qiu; Deepak Gopinath; Dian Ang Yap; et al. (CoRR, 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 (ICLR, 2025)

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 002; et al. (NAACL (Findings), 2025)

fProcessor: NonIntrusive and On-the-Fly File Data Preprocessing Using eBPF. - Peng Wang 028; Aonan Zhang; Haozhe Lang; XiaoFan Xu; Shichen Zhang; Lijuan Diao (IEEE Access, 2025)

Apple Intelligence Foundation Language Models: Tech Report 2025. - Hanzhi Zhou; Erik Hornberger; Pengsheng Guo; Xiyou Zhou; Saiwen Wang; Xin Wang; Yifei He; Xuankai Chang; Rene Rauch; Louis D'hauwe; John Peebles; Alec Doane; et al. (CoRR, 2025)