Zhuang, Yueting

Towards a new generation of artificial intelligence in China

Wu, F., Lu, C., Zhu, M., Chen, H., Zhu, J., Yu, K., Li, L., Li, M., Chen, Q., Li, X., et al. (2020) · Nature Machine Intelligence

Artificial Intelligence ApplicationsResearch, Science, and Academia

Cited by 287

ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering

Yu, Z., Xu, D., Yu, J., Yu, T., Zhao, Z., Zhuang, Y., & Tao, D. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence

Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition

Cited by 281

Self-Contrast: Better Reflection Through Inconsistent Solving Perspectives

Zhang, W., Shen, Y., Wu, L., Peng, Q., Wang, J., Zhuang, Y., & Lu, W. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 27

TaskBench: Benchmarking Large Language Models for Task Automation

Shen, Y., Song, K., Tan, X., Zhang, W., Ren, K., Yuan, S., Lu, W., Li, D., & Zhuang, Y. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 24

TaskBench: Benchmarking Large Language Models for Task Automation

Shen, Y., Song, K., Tan, X., Zhang, W., Ren, K., Yuan, S., Lu, W., Li, D., & Zhuang, Y. (2024) · Advances in Neural Information Processing Systems 37

Topic ModelingNatural Language Processing Techniques

Cited by 24

Structural-temporal coupling anomaly detection with dynamic graph transformer

Zong, C., Zhuang, Y., Shao, J., & Lu, W. (2026) · Data Mining and Knowledge Discovery

Advanced Graph Neural NetworksAnomaly Detection Techniques and Applications

Cited by 3