Differentially Private Data Releasing for Smooth Queries with Synthetic Database Output. - Chi Jin 001; Ziteng Wang; Junliang Huang; Yiqiao Zhong; Liwei Wang 001 (CoRR, 2014)

Differentially Private Data Releasing for Smooth Queries. - Ziteng Wang; Chi Jin 001; Kai Fan; Jiaqi Zhang; Junliang Huang; Yiqiao Zhong; Liwei Wang 001 (J. Mach. Learn. Res., 2016)

An $ ell_{ infty}$ Eigenvector Perturbation Bound and Its Application. - Jianqing Fan; Weichen Wang; Yiqiao Zhong (J. Mach. Learn. Res., 2017)

Near-Optimal Bounds for Phase Synchronization. - Yiqiao Zhong; Nicolas Boumal (SIAM J. Optim., 2018)

A Selective Overview of Deep Learning. - Jianqing Fan; Cong Ma 001; Yiqiao Zhong (CoRR, 2019)

The Interpolation Phase Transition in Neural Networks: Memorization and Generalization under Lazy Training. - Andrea Montanari; Yiqiao Zhong (CoRR, 2020)

Tractability from overparametrization: The example of the negative perceptron. - Andrea Montanari; Yiqiao Zhong; Kangjie Zhou (CoRR, 2021)

Unraveling Projection Heads in Contrastive Learning: Insights from Expansion and Shrinkage. - Yu Gui; Cong Ma 001; Yiqiao Zhong (CoRR, 2023)

Uncovering hidden geometry in Transformers via disentangling position and context. - Jiajun Song; Yiqiao Zhong (CoRR, 2023)

How does Multi-Task Training Affect Transformer In-Context Capabilities? Investigations with Function Classes. - Harmon Bhasin; Timothy Ossowski; Yiqiao Zhong; Junjie Hu 001 (NAACL (Short Papers), 2024)

DeTox: Toxic Subspace Projection for Model Editing. - Rheeya Uppaal; Apratim Dey; Yiting He; Yiqiao Zhong; Junjie Hu 001 (CoRR, 2024)

Out-of-distribution generalization via composition: a lens through induction heads in Transformers. - Jiajun Song; Zhuoyan Xu; Yiqiao Zhong (CoRR, 2024)

Assessing and improving reliability of neighbor embedding methods: a map-continuity perspective. - Zhexuan Liu; Rong Ma; Yiqiao Zhong (CoRR, 2024)

Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity. - Rheeya Uppaal; Apratim Dey; Yiting He; Yiqiao Zhong; Junjie Hu 001 (ICLR, 2025)

A statistical theory of overfitting for imbalanced classification. - Jingyang Lyu; Kangjie Zhou; Yiqiao Zhong (CoRR, 2025)

Unifying Attention Heads and Task Vectors via Hidden State Geometry in In-Context Learning. - Haolin Yang; Hakaze Cho; Yiqiao Zhong; Naoya Inoue (CoRR, 2025)