Object Instance Annotation with Deep Extreme Level Set Evolution Zian Wang, David Acuna *, Huan Ling *, Amlan Kar, Sanja Fidler CVPR, 2019 project page / pdf / code / poster / bibtex Learning Semantics-Preserving Attention and Contextual Interaction for Group Activity Recognition Yansong Tang, Jiwen Lu, Zian Wang, Ming Yang, Jie Zhou

‪University of Toronto, NVIDIA‬ - ‪‪Cited by 1,263‬‬ - ‪Computer Vision‬

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …

Zian Wang received the B.S. degree in engineering from Hunan University (HNU), China, in 2019, where he is currently pursuing the Ph.D. degree in computer science and technology with the School of Computer Science and Electronic Engineering. His current research interests include multimodal object detection.

09/2022 A project proposes that transfer learning is a more computationally efficient way to tune the pre-trained BE. models. Conducted experiments on tuning pre-trained BERT models by …

PhD student, Shanghai Jiao Tong University. 2023 International Applied Computational Electromagnetics Society Symposium … 2023 IEEE International Symposium on Antennas and Propagation and...

My primary research focus is on Natural Language Processing (NLP) and Bayesian modeling. I believe NLP holds the key that can make machines not only utilize quintillions of bytes of data generated by humans daily but also grasp our accumulated knowledge and experience to address pressing real-world challenges.

Zian Wang 是 NVIDIA 多伦多人工智能实验室的研究科学家，也是多伦多大学的博士生。 他的研究兴趣包括 3D 场景的重建和生成，以及它们在场景操纵和模拟中的应用。

‪Hunan University‬ - ‪‪引用次数：11 次‬‬ - ‪Computer Vision‬

2024年10月11日 · Zian (Andy) Wang is a deep learning researcher and technical writer. His research mainly focuses on applying deep learning methods to tabular data, image processing, and natural language processing. His work at the Najafian Lab at the University of Washington is centered around improving and discovering techniques for biomedical image segmentation.