Fast Distance Oracles for Any Symmetric Norm. - Yichuan Deng 002; Zhao Song 002; Omri Weinstein; Ruizhe Zhang 001 (NeurIPS, 2022)

A Nearly Optimal Size Coreset Algorithm with Nearly Linear Time. - Yichuan Deng 002; Zhao Song 002; Yitan Wang; Yuanyuan Yang 005 (CoRR, 2022)

Discrepancy Minimization in Input-Sparsity Time. - Yichuan Deng 002; Zhao Song 002; Omri Weinstein (CoRR, 2022)

Dynamic Kernel Sparsifiers. - Yichuan Deng 002; Wenyu Jin 001; Zhao Song 002; Xiaorui Sun; Omri Weinstein (CoRR, 2022)

Solving Tensor Low Cycle Rank Approximation. - Yichuan Deng 002; Yeqi Gao; Zhao Song 002 (IEEE Big Data, 2023)

Streaming Kernel PCA Algorithm With Small Space. - Yichuan Deng 002; Zhao Song 002; Zifan Wang 003; Han Zhang 037 (CoRR, 2023)

An Improved Sample Complexity for Rank-1 Matrix Sensing. - Yichuan Deng 002; Zhihang Li; Zhao Song 002 (CoRR, 2023)

Randomized and Deterministic Attention Sparsification Algorithms for Over-parameterized Feature Dimension. - Yichuan Deng 002; Sridhar Mahadevan; Zhao Song 002 (CoRR, 2023)

Attention Scheme Inspired Softmax Regression. - Yichuan Deng 002; Zhihang Li; Zhao Song 002 (CoRR, 2023)

Faster Robust Tensor Power Method for Arbitrary Order. - Yichuan Deng 002; Zhao Song 002; Junze Yin (CoRR, 2023)

Efficient Algorithm for Solving Hyperbolic Programs. - Yichuan Deng 002; Zhao Song 002; Lichen Zhang 003; Ruizhe Zhang 001 (CoRR, 2023)

Convergence of Two-Layer Regression with Nonlinear Units. - Yichuan Deng 002; Zhao Song 002; Shenghao Xie (CoRR, 2023)

Clustered Linear Contextual Bandits with Knapsacks. - Yichuan Deng 002; Michalis Mamakos; Zhao Song 002 (CoRR, 2023)

Superiority of Softmax: Unveiling the Performance Edge Over Linear Attention. - Yichuan Deng 002; Zhao Song 002; Tianyi Zhou 002 (CoRR, 2023)

Unmasking Transformers: A Theoretical Approach to Data Recovery via Attention Weights. - Yichuan Deng 002; Zhao Song 002; Shenghao Xie; Chiwun Yang (CoRR, 2023)

Zero-th Order Algorithm for Softmax Attention Optimization. - Yichuan Deng 002; Zhihang Li; Sridhar Mahadevan; Zhao Song 002 (IEEE Big Data, 2024)

Enhancing Stochastic Gradient Descent: A Unified Framework and Novel Acceleration Methods for Faster Convergence. - Yichuan Deng 002; Zhao Song 002; Chiwun Yang (CoRR, 2024)

Attention is Naturally Sparse with Gaussian Distributed Input. - Yichuan Deng 002; Zhao Song 002; Chiwun Yang (CoRR, 2024)

Streaming Kernel PCA Algorithm With Small Space. - Yichuan Deng 002; Jiangxuan Long 001; Zhao Song 002; Zifan Wang 003; Han Zhang 037 (CPAL, 2025)

OpenThoughts: Data Recipes for Reasoning Models. - Etash Kumar Guha; Ryan Marten; Sedrick Keh; Negin Raoof; Georgios Smyrnis; Hritik Bansal; Marianna Nezhurina; Jean Mercat; Trung Vu 002; Zayne Sprague; Ashima Suvarna; Benjamin Feuer; et al. (CoRR, 2025)