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About Me

I am Ziyu Jiang, a PhD. Student at VITA Group [link]. My current research focuses on Semantic Segmentation, Self-supervised learning and Efficient Training.

Publication

Ziyu Jiang , Tianlong Chen, Ting Chen, Zhangyang Wang. Adversarial Contrastive Learning: Harvesting More Robustness from Unsupervised Pre-Training. Advances in Neural Information Processing Systems (Neurips). 2020.

Ziyu Jiang , Buyu Liu, Samuel Schulter, Zhangyang Wang, Manmohan Chandraker. Peek-a-Boo: Occlusion Reasoning in Indoor Scenes With Plane Representations. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2020 (ORAL).

Ziyu Jiang* , Yue Wang, Xiaohan Chen, Pengfei Xu, Yang Zhao, Yingyan Lin, Zhangyang Wang. E$^2$-Train: Training State-of-the-art CNNs with Over 80\% Less Energy. Advances in Neural Information Processing Systems (Neurips). 2019.

Ziyu Jiang* , Wuyang Chen* , Zhangyang Wang, Kexin Cui, Xiaoning Qian. Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2019 (ORAL).

Ziyu Jiang, Kate Von Ness, Julie Loisel, Zhangyang Wang. ArcticNet: A Deep Learning Solution to Classify Arctic Wetlands. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2019.

Ziyu Jiang* , Randy Ardywibowo, Aven Samereh, Heather Evans, Bill Lober, Xiangyu Chang, Xiaoning Qian, Zhangyang Wang, Shuai Huang. A Roadmap for Automatic Surgical Site Infection (SSI) Detection and Evaluation using User-Generated Wound Images. *Surgical infections (2019).

Professional Experience

June - August, 2019
Research Intern, NEC laboratories america inc, San. Jose, CA

Mentors: Buyu, Liu
Research on indoor scene understanding

  • Explore better algorithms for semantic segmenation of indoor scene.
June - , 2020
Research Intern, Bytedance AI Lab, Mountain View, CA

Mentors: Linjie Yang
Research on video segmentation

  • Explore efficient approach for video segmentation.