Realization of integration and working procedure on digital hospital information system. - Zhanjun Chang; Song Mei; Zheng Gu; Jianqin Gu; Liangxiao Xia; Shuang Liang; Jiarui Lin (Comput. Stand. Interfaces, 2003)

Research and Analysis of Topology Control in NS-2 for Ad-hoc Wireless Network. - Li Xu; Hui Bo; Haixia Liu; Mingqiang Yang; Song Mei; Guo Wei (CISIS, 2008)

New Well Design of Hydrological Network Information System Based on GIS. - Song Mei (ISCSCT (1), 2008)

Session-Based Tunnel Scheduling Model in Multi-link Aggregate IPSec VPN. - Yunhe Zhang; Zhitang Li; Song Mei; Cai Fu (MUE, 2009)

On a Molecular Based Q-Tensor Model for Liquid Crystals with Density Variations. - Song Mei; Pingwen Zhang (Multiscale Model. Simul., 2015)

Solving SDPs for synchronization and MaxCut problems via the Grothendieck inequality. - Song Mei; Theodor Misiakiewicz; Andrea Montanari; Roberto Imbuzeiro Oliveira (COLT, 2017)

A Mean Field View of the Landscape of Two-Layers Neural Networks. - Song Mei; Andrea Montanari; Phan-Minh Nguyen (CoRR, 2018)

Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit. - Song Mei; Theodor Misiakiewicz; Andrea Montanari (COLT, 2019)

Limitations of Lazy Training of Two-layers Neural Network. - Behrooz Ghorbani; Song Mei; Theodor Misiakiewicz; Andrea Montanari (NeurIPS, 2019)

Proximal algorithms for constrained composite optimization, with applications to solving low-rank SDPs. - Yu Bai 017; John C. Duchi; Song Mei (CoRR, 2019)

Linearized two-layers neural networks in high dimension. - Behrooz Ghorbani; Song Mei; Theodor Misiakiewicz; Andrea Montanari (CoRR, 2019)

Limitations of Lazy Training of Two-layers Neural Networks. - Behrooz Ghorbani; Song Mei; Theodor Misiakiewicz; Andrea Montanari (CoRR, 2019)

When Do Neural Networks Outperform Kernel Methods? - Behrooz Ghorbani; Song Mei; Theodor Misiakiewicz; Andrea Montanari (NeurIPS, 2020)

Research on the Patriotic Education for College Students in the New Era: Taking the Enhancement of Cultural Confidence as an Example. - Song Mei (CIPAE, 2021)

Learning with invariances in random features and kernel models. - Song Mei; Theodor Misiakiewicz; Andrea Montanari (COLT, 2021)

Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification. - Yu Bai 017; Song Mei; Huan Wang 014; Caiming Xiong (ICML, 2021)

Exact Gap between Generalization Error and Uniform Convergence in Random Feature Models. - Zitong Yang; Yu Bai 017; Song Mei (ICML, 2021)

Understanding the Under-Coverage Bias in Uncertainty Estimation. - Yu Bai 017; Song Mei; Huan Wang 014; Caiming Xiong (NeurIPS, 2021)

Local convexity of the TAP free energy and AMP convergence for Z2-synchronization. - Michael Celentano; Zhou Fan; Song Mei (CoRR, 2021)

Research on Craft Optimization of Wheat Straw Pretreatment. - Wenxuan Zhao; Hongguan Jiao; Zhigang Ju; Yaqiang Zheng; Hongxi Shi; Song Mei (BECB, 2022)

Screening and Efficacy Evaluation of High-Yielding Manganese Peroxidase Strain. - Wenxuan Zhao; Zhigang Ju; Hongxi Shi; Song Mei; Yaqiang Zheng (BECB, 2022)

Breeding and Efficiency Evaluation of a High-Yielding Cellobiohydrolase Strain. - Wenxuan Zhao; Zhigang Ju; Yaqiang Zheng; Song Mei; Hongxi Shi (BECB, 2022)

Extraction, Composition Analysis and Blood Lipid Lowering Activity of Rana chensinensis Ovum Oil. - Wenxuan Zhao; Zhigang Ju; Yaqiang Zheng; Hongxi Shi; Song Mei (BECB, 2022)

High-Yielding Laccase Strain Breeding and Optimization of Fermentation Conditions. - Wenxuan Zhao; Yaqiang Zheng; Zhigang Ju; Song Mei; Hongxi Shi (BECB, 2022)

Performance and limitations of the QAOA at constant levels on large sparse hypergraphs and spin glass models. - Joao Basso; David Gamarnik; Song Mei; Leo Zhou (FOCS, 2022)

Efficient and Differentiable Conformal Prediction with General Function Classes. - Yu Bai 017; Song Mei; Huan Wang 014; Yingbo Zhou; Caiming Xiong (ICLR, 2022)

The Three Stages of Learning Dynamics in High-dimensional Kernel Methods. - Nikhil Ghosh; Song Mei; Bin Yu 001 (ICLR, 2022)

When Can We Learn General-Sum Markov Games with a Large Number of Players Sample-Efficiently? - Ziang Song; Song Mei; Yu Bai 017 (ICLR, 2022)

Near-Optimal Learning of Extensive-Form Games with Imperfect Information. - Yu Bai 017; Chi Jin 001; Song Mei; Tiancheng Yu (ICML, 2022)

Efficient Phi-Regret Minimization in Extensive-Form Games via Online Mirror Descent. - Yu Bai 017; Chi Jin 001; Song Mei; Ziang Song; Tiancheng Yu (NeurIPS, 2022)

Learning with convolution and pooling operations in kernel methods. - Theodor Misiakiewicz; Song Mei (NeurIPS, 2022)

Sample-Efficient Learning of Correlated Equilibria in Extensive-Form Games. - Ziang Song; Song Mei; Yu Bai 017 (NeurIPS, 2022)

Efficient Φ-Regret Minimization in Extensive-Form Games via Online Mirror Descent. - Yu Bai 017; Chi Jin 001; Song Mei; Ziang Song; Tiancheng Yu (CoRR, 2022)

Unified Algorithms for RL with Decision-Estimation Coefficients: No-Regret, PAC, and Reward-Free Learning. - Fan Chen 006; Song Mei; Yu Bai 017 (CoRR, 2022)

Near-optimal multiple testing in Bayesian linear models with finite-sample FDR control. - Taejoo Ahn; Licong Lin; Song Mei (CoRR, 2022)

A Novel Location Free Link Prediction in Multiplex Social Networks. - Song Mei; Cong Zhen (CoRR, 2022)

Plausible deniability for privacy-preserving data synthesis. - Song Mei; Zhiqiang Ye (CoRR, 2022)

Fine-grained IoT device identification method based on self-supervised ViT. - Kai Peng 001; Tong Lu; Song Mei; Nannan Xue; Yongchao Shen; Menglan Hu (ISPA/BDCloud/SocialCom/SustainCom, 2023)

Partially Observable RL with B-Stability: Unified Structural Condition and Sharp Sample-Efficient Algorithms. - Fan Chen 006; Yu Bai 017; Song Mei (ICLR, 2023)

Lower Bounds for Learning in Revealing POMDPs. - Fan Chen 006; Huan Wang 014; Caiming Xiong; Song Mei; Yu Bai 017 (ICML, 2023)

Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection. - Yu Bai 017; Fan Chen 006; Huan Wang 014; Caiming Xiong; Song Mei (NeurIPS, 2023)

What can a Single Attention Layer Learn? A Study Through the Random Features Lens. - Hengyu Fu; Tianyu Guo 004; Yu Bai 017; Song Mei (NeurIPS, 2023)

Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models. - Song Mei; Yuchen Wu (CoRR, 2023)

Mean-field variational inference with the TAP free energy: Geometric and statistical properties in linear models. - Michael Celentano; Zhou Fan; Licong Lin; Song Mei (CoRR, 2023)

Minimizing Enzyme Mass to Decompose Flux Distribution in Genome-Scale Metabolic Network for Identifying Active Elementary Flux Modes. - Song Mei; Jingning Chen; Feng Zhan; Yuzhong Peng; Yiran Huang (ICAI (1), 2024)

How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations. - Tianyu Guo 004; Wei Hu; Song Mei; Huan Wang 014; Caiming Xiong; Silvio Savarese; Yu Bai 017 (ICLR, 2024)

Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining. - Licong Lin; Yu Bai 017; Song Mei (ICLR, 2024)

Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast Optimization. - Yuhang Cai; Jingfeng Wu; Song Mei; Michael Lindsey; Peter L. Bartlett (NeurIPS, 2024)

Statistical Estimation in the Spiked Tensor Model via the Quantum Approximate Optimization Algorithm. - Leo Zhou; Joao Basso; Song Mei (NeurIPS, 2024)

Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning. - Ruiqi Zhang; Licong Lin; Yu Bai 017; Song Mei (CoRR, 2024)

An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization. - Minshuo Chen; Song Mei; Jianqing Fan; Mengdi Wang (CoRR, 2024)

Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning. - Chongyu Fan; Jiancheng Liu; Licong Lin; Jinghan Jia; Ruiqi Zhang; Song Mei; Sijia Liu 001 (CoRR, 2024)

Active-Dormant Attention Heads: Mechanistically Demystifying Extreme-Token Phenomena in LLMs. - Tianyu Guo 004; Druv Pai; Yu Bai 017; Jiantao Jiao; Michael I. Jordan; Song Mei (CoRR, 2024)

DVsc: An Automated Framework for Efficiently Detecting Viral Infection from Single-cell Transcriptomics Data. - Fei Leng; Song Mei; Xiaolin Zhou; Xuanshi Liu; Yefeng Yuan; Wenjian Xu; Chongyi Hao; Ruolan Guo; Chanjuan Hao; Wei Li; Peng Zhang 050 (Genom. Proteom. Bioinform., 2024)

U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models. - Song Mei (ICLR, 2025)

A Statistical Theory of Contrastive Pre-training and Multimodal Generative AI. - Kazusato Oko; Licong Lin; Yuhang Cai; Song Mei (CoRR, 2025)

How Do LLMs Perform Two-Hop Reasoning in Context? - Tianyu Guo 004; Hanlin Zhu; Ruiqi Zhang; Jiantao Jiao; Song Mei; Michael I. Jordan; Stuart Russell 001 (CoRR, 2025)

Implicit Bias of Gradient Descent for Non-Homogeneous Deep Networks. - Yuhang Cai; Kangjie Zhou; Jingfeng Wu; Song Mei; Michael Lindsey; Peter L. Bartlett (CoRR, 2025)

An Overview of Large Language Models for Statisticians. - Wenlong Ji; Weizhe Yuan; Emily J. Getzen; Kyunghyun Cho; Michael I. Jordan; Song Mei; Jason Aaron Edward Weston; Weijie J. Su; Jing Xu; Linjun Zhang (CoRR, 2025)

Improving LLM Safety Alignment with Dual-Objective Optimization. - Xuandong Zhao; Will Cai; Tianneng Shi; David Huang; Licong Lin; Song Mei; Dawn Song (CoRR, 2025)

A Statistical Theory of Contrastive Learning via Approximate Sufficient Statistics. - Licong Lin; Song Mei (CoRR, 2025)

Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models. - Song Mei; Yuchen Wu 002 (IEEE Trans. Inf. Theory, 2025)

OVERT: A Benchmark for Over-Refusal Evaluation on Text-to-Image Models. - Ziheng Cheng; Yixiao Huang 004; Hui Xu; Somayeh Sojoudi; Xuandong Zhao; Dawn Song; Song Mei (CoRR, 2025)

SPEED-RL: Faster Training of Reasoning Models via Online Curriculum Learning. - Ruiqi Zhang; Daman Arora; Song Mei; Andrea Zanette (CoRR, 2025)

Generalization or Hallucination? Understanding Out-of-Context Reasoning in Transformers. - Yixiao Huang 004; Hanlin Zhu; Tianyu Guo 004; Jiantao Jiao; Somayeh Sojoudi; Michael I. Jordan; Stuart Russell 001; Song Mei (CoRR, 2025)

gpt-oss-120b & gpt-oss-20b Model Card. - Sandhini Agarwal; Lama Ahmad; Jason Ai; Sam Altman; Andy Applebaum; Edwin Arbus; Rahul K. Arora; Yu Bai; Bowen Baker; Haiming Bao; Boaz Barak; Ally Bennett; et al. (CoRR, 2025)