Yang, Zhengyuan

MM-Narrator: Narrating Long-form Videos with Multimodal In-Context Learning

Zhang, C., Lin, K., Yang, Z., Wang, J., Li, L., Lin, C.-C., Liu, Z., & Wang, L. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsSubtitles and Audiovisual Media

Cited by 24

Design2Code: Benchmarking Multimodal Code Generation for Automated Front-End Engineering

Si, C., Zhang, Y., Li, R., Yang, Z., Liu, R., & Yang, D. (2025) · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Software Engineering ResearchMultimodal Machine Learning Applications

Cited by 17

Design2Code: Benchmarking Multimodal Code Generation for Automated Front-End Engineering

Si, C., Zhang, Y., Li, R., Yang, Z., Liu, R., & Yang, D. (2024) · arXiv

Software Engineering ResearchMultimodal Machine Learning Applications

Cited by 4

NUWA-XL: Diffusion over Diffusion for eXtremely Long Video Generation

Yin, S., Wu, C., Yang, H., Wang, J., Wang, X., Ni, M., Yang, Z., Li, L., Liu, S., Yang, F., et al. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 1