Guided Diffusion Model for Adversarial Purification from Random Noise. - Quanlin Wu; Hang Ye 002; Yuntian Gu (CoRR, 2022)

Denoising Masked AutoEncoders are Certifiable Robust Vision Learners. - Quanlin Wu; Hang Ye 002; Yuntian Gu; Huishuai Zhang; Liwei Wang 001; Di He 001 (CoRR, 2022)

FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score. - Haowei Lin; Yuntian Gu (EMNLP, 2023)

Denoising Masked Autoencoders Help Robust Classification. - Quanlin Wu; Hang Ye 002; Yuntian Gu; Huishuai Zhang; Liwei Wang 001; Di He 001 (ICLR, 2023)

Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective. - Guhao Feng; Bohang Zhang; Yuntian Gu; Haotian Ye; Di He 001; Liwei Wang 001 (NeurIPS, 2023)

QCircuitNet: A Large-Scale Hierarchical Dataset for Quantum Algorithm Design. - Rui Yang; Yuntian Gu; Ziruo Wang; Yitao Liang; Tongyang Li (CoRR, 2024)

Towards Differentiable Multilevel Optimization: A Gradient-Based Approach. - Yuntian Gu; Xuzheng Chen (CoRR, 2024)

How Numerical Precision Affects Mathematical Reasoning Capabilities of LLMs. - Guhao Feng; Kai Yang; Yuntian Gu; Xinyue Ai; Shengjie Luo; Jiacheng Sun; Di He 001; Zhenguo Li; Liwei Wang 001 (CoRR, 2024)

How Numerical Precision Affects Arithmetical Reasoning Capabilities of LLMs. - Guhao Feng; Kai Yang; Yuntian Gu; Xinyue Ai; Shengjie Luo; Jiacheng Sun; Di He 001; Zhenguo Li; Liwei Wang 001 (ACL (Findings), 2025)

Solving the Hubbard model with Neural Quantum States. - Yuntian Gu; Wenrui Li; Heng Lin; Bo Zhan; Ruichen Li; Yifei Huang; Di He; Yantao Wu; Tao Xiang; Mingpu Qin; Liwei Wang; Dingshun Lv (CoRR, 2025)