Yufa Zhou

According to our database, Yufa Zhou authored at least 13 papers between 2024 and 2025.

Collaborative distances:

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

2025

FastCar: Cache Attentive Replay for Fast Auto-Regressive Video Generation on the Edge.

Xuan Shen, Weize Ma, Yufa Zhou, Enhao Tang, Yanyue Xie, Zhengang Li, Yifan Gong, Quanyi Wang, Henghui Ding, Yiwei Wang, Yanzhi Wang, Pu Zhao, Jun Lin, Jiuxiang Gu

CoRR, May, 2025

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance.

Xuan Shen, Chenxia Han, Yufa Zhou, Yanyue Xie, Yifan Gong, Quanyi Wang, Yiwei Wang, Yanzhi Wang, Pu Zhao, Jiuxiang Gu

CoRR, May, 2025

Beyond Linear Approximations: A Novel Pruning Approach for Attention Matrix.

Yingyu Liang, Jiangxuan Long, Zhenmei Shi, Zhao Song, Yufa Zhou

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Unraveling the Smoothness Properties of Diffusion Models: A Gaussian Mixture Perspective.

Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Mingda Wan, Yufa Zhou

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Looped ReLU MLPs May Be All You Need as Practical Programmable Computers.

Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Yufa Zhou

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

Numerical Pruning for Efficient Autoregressive Models.

Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Jing Liu, Ruiyi Zhang, Ryan A. Rossi, Hao Tan, Tong Yu, Xiang Chen, Yufan Zhou, Tong Sun, Pu Zhao, Yanzhi Wang, Jiuxiang Gu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers.

Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Yanyu Li, Yifan Gong, Kai Zhang, Hao Tan, Jason Kuen, Henghui Ding, Zhihao Shu, Wei Niu, Pu Zhao, Yanzhi Wang, Jiuxiang Gu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Numerical Pruning for Efficient Autoregressive Models.

Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Jing Liu, Ruiyi Zhang, Ryan A. Rossi, Hao Tan, Tong Yu, Xiang Chen, Yufan Zhou, Tong Sun, Pu Zhao, Yanzhi Wang, Jiuxiang Gu

CoRR, 2024

Fine-grained Attention I/O Complexity: Comprehensive Analysis for Backward Passes.

Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song, Yufa Zhou

CoRR, 2024

Multi-Layer Transformers Gradient Can be Approximated in Almost Linear Time.

Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Yufa Zhou

CoRR, 2024

Differential Privacy of Cross-Attention with Provable Guarantee.

Jiuxiang Gu, Yingyu Liang, Zhenmei Shi, Zhao Song, Yufa Zhou

CoRR, 2024

Unraveling the Smoothness Properties of Diffusion Models: A Gaussian Mixture Perspective.

Jiuxiang Gu, Yingyu Liang, Zhenmei Shi, Zhao Song, Yufa Zhou

CoRR, 2024

Tensor Attention Training: Provably Efficient Learning of Higher-order Transformers.

Jiuxiang Gu, Yingyu Liang, Zhenmei Shi, Zhao Song, Yufa Zhou

CoRR, 2024