Hengyu Fu

According to our database, Hengyu Fu authored at least 8 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Plan, Verify and Fill: A Structured Parallel Decoding Approach for Diffusion Language Models.

Miao Li, Hanyang Jiang, Sikai Cheng, Hengyu Fu, Yuhang Cai, Baihe Huang, Tinghan Ye, Xuanzhou Chen, Pascal Van Hentenryck

CoRR, January, 2026

2025

From Bits to Rounds: Parallel Decoding with Exploration for Diffusion Language Models.

Hengyu Fu, Baihe Huang, Virginia Adams, Charles Wang, Venkat Srinivasan, Jiantao Jiao

CoRR, November, 2025

Neural Networks Learn Generic Multi-Index Models Near Information-Theoretic Limit.

Bohan Zhang, Zihao Wang, Hengyu Fu, Jason D. Lee

CoRR, November, 2025

Learning Hierarchical Polynomials of Multiple Nonlinear Features.

Hengyu Fu, Zihao Wang, Eshaan Nichani, Jason D. Lee

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Diffusion Transformer Captures Spatial-Temporal Dependencies: A Theory for Gaussian Process Data.

Hengyu Fu, Zehao Dou, Jiawei Guo, Mengdi Wang, Minshuo Chen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Learning Hierarchical Polynomials of Multiple Nonlinear Features with Three-Layer Networks.

Hengyu Fu, Zihao Wang, Eshaan Nichani, Jason D. Lee

CoRR, 2024

Unveil Conditional Diffusion Models with Classifier-free Guidance: A Sharp Statistical Theory.

Hengyu Fu, Zhuoran Yang, Mengdi Wang, Minshuo Chen

CoRR, 2024

2023

What can a Single Attention Layer Learn? A Study Through the Random Features Lens.

Hengyu Fu, Tianyu Guo, Yu Bai, Song Mei

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023