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Akademický článek

AFOD: Two-stage object detection based on anchor-free remote sensing photos

Autor: Fu Liangrui, Deng Jinqiu, Zhu Baoliang, Li Zengyan, Liao Xudong

Publikováno v: Open Computer Science, Vol 14, Iss 1, Pp pp. 2849-2858 (2024)

Aerial photo target detection in remote sensing utilizes high-resolution aerial images, along with computer vision techniques, to identify and pinpoint specific objects. To tackle imprecise detection caused by the random arrangement of objects, a two

Externí odkaz: https://doaj.org/article/acb984d6bd5c43e1b10f4f8382070968

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Long-Range $ZZ$ Interaction via Resonator-Induced Phase in Superconducting Qubits

Autor: Deng, Xiang, Zheng, Wen, Liao, Xudong, Zhou, Haoyu, Ge, Yangyang, Zhao, Jie, Lan, Dong, Tan, Xinsheng, Zhang, Yu, Li, Shaoxiong, Yu, Yang

Superconducting quantum computing emerges as one of leading candidates for achieving quantum advantage. However, a prevailing challenge is the coding overhead due to limited quantum connectivity, constrained by nearest-neighbor coupling among superco

Externí odkaz: http://arxiv.org/abs/2408.16617

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Towards Fair and Efficient Learning-based Congestion Control

Autor: Liao, Xudong, Tian, Han, Zeng, Chaoliang, Wan, Xinchen, Chen, Kai

Recent years have witnessed a plethora of learning-based solutions for congestion control (CC) that demonstrate better performance over traditional TCP schemes. However, they fail to provide consistently good convergence properties, including {\em fa

Externí odkaz: http://arxiv.org/abs/2403.01798

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TACC: A Full-stack Cloud Computing Infrastructure for Machine Learning Tasks

Autor: Xu, Kaiqiang, Wan, Xinchen, Wang, Hao, Ren, Zhenghang, Liao, Xudong, Sun, Decang, Zeng, Chaoliang, Chen, Kai

In Machine Learning (ML) system research, efficient resource scheduling and utilization have always been an important topic given the compute-intensive nature of ML applications. In this paper, we introduce the design of TACC, a full-stack cloud infr

Externí odkaz: http://arxiv.org/abs/2110.01556

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Multi-Objective Congestion Control

Autor: Ma, Yiqing, Tian, Han, Liao, Xudong, Zhang, Junxue, Wang, Weiyan, Chen, Kai, Jin, Xin

Decades of research on Internet congestion control (CC) has produced a plethora of algorithms that optimize for different performance objectives. Applications face the challenge of choosing the most suitable algorithm based on their needs, and it tak

Externí odkaz: http://arxiv.org/abs/2107.01427

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