Xingjian Jiang

According to our database, Xingjian Jiang authored at least 3 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Continual Driving Policy Optimization with Closed-Loop Individualized Curricula.

Haoyi Niu, Yizhou Xu, Xingjian Jiang, Jianming Hu

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation.

Feilong Tang, Zhongxing Xu, Zhaojun Qu, Wei Feng, Xingjian Jiang, Zongyuan Ge

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

CARD 2023: expanded curation, support for machine learning, and resistome prediction at the Comprehensive Antibiotic Resistance Database.

Brian P. Alcock, William Huynh, Romeo Chalil, Keaton W. Smith, Amogelang R. Raphenya, Mateusz A. Wlodarski, Arman Edalatmand, Aaron J. Petkau, Sohaib A. Syed, Kara K. Tsang, Sheridan J. C. Baker, Mugdha Dave, Madeline C. McCarthy, Karyn M. Mukiri, Jalees A. Nasir, Bahar Golbon, Hamna Imtiaz, Xingjian Jiang, Komal Kaur, Megan Kwong, Zi Cheng Liang, Keyu C. Niu, Prabakar Shan, Jasmine Y. J. Yang, Kristen L. Gray, Gemma Hoad, Baofeng Jia, Timsy Bhando, Lindsey A. Carfrae, Maya A. Farha, Shawn French, Rodion Gordzevich, Kenneth Rachwalski, Megan M. Tu, Emily Bordeleau, Damion M. Dooley, Emma J. Griffiths, Haley L. Zubyk, Eric D. Brown, Finlay Maguire, Robert G. Beiko, William W. L. Hsiao, Fiona S. L. Brinkman, Gary H. Van Domselaar, Andrew G. McArthur

Nucleic Acids Res., January, 2023