Peiliang Cai

According to our database, Peiliang Cai authored at least 12 papers between 2025 and 2026.

Collaborative distances:

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

2026

Dynamic Video Generation: Shaping Video Generation Across Time and Space.

Shikang Zheng, Jingkai Huang, Jiacheng Liu, Guantao Chen, Lixuan, Yuqi Lin, Peiliang Cai, Linfeng Zhang

CoRR, May, 2026

Focused Forcing: Content-Aware Per-Frame KV Selection for Efficient Autoregressive Video Diffusion.

Peiliang Cai, Evelyn Zhang, Jiacheng Liu, Hao Lin, Ruiqi Zhang, Weile Mo, Yue Ma, Shikang Zheng, Jiehang Huang, Dongrui Liu, Linfeng Zhang

CoRR, May, 2026

Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code.

Kaifeng He, Xiaojun Zhang, Peiliang Cai, Mingwei Liu, Yanlin Wang, Chong Wang, Kaifeng Huang, Bihuan Chen, Xin Peng, Zibin Zheng

CoRR, May, 2026

SpecEdit: Training-Free Acceleration for Diffusion based Image Editing via Semantic Locking.

Zhengan Yan, Shikang Zheng, Haoran Qin, Xiaobing Tu, Yinggui Wang, Jiacheng Liu, Jiaxuan Ren, Yuqi Lin, Peiliang Cai, Jinkui Ren, Xiantao Zhang, Linfeng Zhang

CoRR, May, 2026

Beyond Fixed Formulas: Data-Driven Linear Predictor for Efficient Diffusion Models.

Zhirong Shen, Rui Huang, Jiacheng Liu, Chang Zou, Peiliang Cai, Shikang Zheng, Zhengyi Shi, Liang Feng, Linfeng Zhang

CoRR, April, 2026

LESA: Learnable Stage-Aware Predictors for Diffusion Model Acceleration.

Peiliang Cai, Jiacheng Liu, Haowen Xu, Xinyu Wang, Chang Zou, Linfeng Zhang

CoRR, February, 2026

Forecast Then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers.

Shikang Zheng, Liang Feng, Xinyu Wang, Qinming Zhou, Peiliang Cai, Chang Zou, Jiacheng Liu, Yuqi Lin, Junjie Chen, Yue Ma, Linfeng Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

A Survey on Cache Methods in Diffusion Models: Toward Efficient Multi-Modal Generation.

Jiacheng Liu, Xinyu Wang, Yuqi Lin, Zhikai Wang, Peiru Wang, Peiliang Cai, Qinming Zhou, Zhengan Yan, Zexuan Yan, Zhengyi Shi, Chang Zou, Yue Ma, Linfeng Zhang

CoRR, October, 2025

FreqCa: Accelerating Diffusion Models via Frequency-Aware Caching.

Jiacheng Liu, Peiliang Cai, Qinming Zhou, Yuqi Lin, Deyang Kong, Benhao Huang, Yupei Pan, Haowen Xu, Chang Zou, Junshu Tang, Shikang Zheng, Linfeng Zhang

CoRR, October, 2025

Let Features Decide Their Own Solvers: Hybrid Feature Caching for Diffusion Transformers.

Shikang Zheng, Guantao Chen, Qinming Zhou, Yuqi Lin, Lixuan He, Chang Zou, Peiliang Cai, Jiacheng Liu, Linfeng Zhang

CoRR, October, 2025

HiCache: Training-free Acceleration of Diffusion Models via Hermite Polynomial-based Feature Caching.

Liang Feng, Shikang Zheng, Jiacheng Liu, Yuqi Lin, Qinming Zhou, Peiliang Cai, Xinyu Wang, Junjie Chen, Chang Zou, Yue Ma, Linfeng Zhang

CoRR, August, 2025

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers.

Shikang Zheng, Liang Feng, Xinyu Wang, Qinming Zhou, Peiliang Cai, Chang Zou, Jiacheng Liu, Yuqi Lin, Junjie Chen, Yue Ma, Linfeng Zhang

CoRR, August, 2025