Xingjian Jiang

According to our database, Xingjian Jiang authored at least 9 papers between 2023 and 2026.

Collaborative distances:

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

2026

Progressive Optimization Framework for Fluid Antenna-Assisted Symbiotic Radio Systems.

Feiyang Li, Qiang Sun, Xingjian Jiang, Xiaomin Chen, Qingqing Wu, Jiayi Zhang, Chan-Byoung Chae, Kai-Kit Wong

IEEE Trans. Commun., 2026

Low-Complexity Rate Optimization for Fluid Antenna-Assisted Symbiotic Radio Systems.

Feiyang Li, Qiang Sun, Miaomiao Xu, Xiaomin Chen, Xingjian Jiang, Qingqing Wu, Jiayi Zhang, Chan-Byoung Chae, Kai-Kit Wong

Proceedings of the IEEE Wireless Communications and Networking Conference, 2026

RFF-BO: Efficient Antenna Position Optimization for Fluid Antenna-Aided MU-MISO Systems.

Xingjian Jiang, Qiang Sun, Dong Li, Shuping Dang, Kai-Kit Wong, Chan-Byoung Chae

Proceedings of the IEEE Wireless Communications and Networking Conference, 2026

HLPD: Aligning LLMs to Human Language Preference for Machine-Revised Text Detection.

Fangqi Dai, Xingjian Jiang, Zizhuang Deng

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

STAR-IOS Assisted NOMA Networks With EMI: Outage Analysis and Optimization.

Qiang Sun, Mengfan You, Xingjian Jiang, Xiaomin Chen, Chongwen Huang, Jiayi Zhang

IEEE Trans. Veh. Technol., August, 2025

Self-Attention Transformer Based Short-Term Load Prediction for Electrical Distribution Feeders.

Xingjian Jiang, Shichao Liu, Chunsheng Yang

Proceedings of the 51st Annual Conference of the IEEE Industrial Electronics Society, 2025

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