Understanding Deflation Process in Over-parametrized Tensor Decomposition. - Rong Ge 001; Yunwei Ren; Xiang Wang 011; Mo Zhou (NeurIPS, 2021)

Depth Separation with Multilayer Mean-Field Networks. - Yunwei Ren; Mo Zhou; Rong Ge 001 (ICLR, 2023)

On the Importance of Contrastive Loss in Multimodal Learning. - Yunwei Ren; Yuanzhi Li (CoRR, 2023)

Learning and Transferring Sparse Contextual Bigrams with Linear Transformers. - Yunwei Ren; Zixuan Wang; Jason D. Lee (NeurIPS, 2024)

Learning Orthogonal Multi-Index Models: A Fine-Grained Information Exponent Analysis. - Yunwei Ren; Jason D. Lee (CoRR, 2024)

Emergence and scaling laws in SGD learning of shallow neural networks. - Yunwei Ren; Eshaan Nichani; Denny Wu; Jason D. Lee (CoRR, 2025)