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pro vyhledávání: '"Liu, Xiaochen"'
Autor:
Liang, Yancheng, Zhang, Jiajie, Li, Hui, Liu, Xiaochen, Hu, Yi, Wu, Yong, Zhang, Jinyao, Liu, Yongyan, Wu, Yi
Despite the tremendous advances achieved over the past years by deep learning techniques, the latest risk prediction models for industrial applications still rely on highly handtuned stage-wised statistical learning tools, such as gradient boosting a
Externí odkaz:
http://arxiv.org/abs/2308.03704
Autor:
He, Zhihong, Luo, Yangping, Wang, Kun, Ren, Anbing, Peng, Liming, Cui, Qian, Liu, Xiaochen, Jiang, Qingquan
Despite having data for over 10^9 stars from Gaia, only less than 10^4 star clusters and candidates have been discovered. Particularly, distant star clusters are rarely identified, due to the challenges posed by heavy extinction and great distance. H
Externí odkaz:
http://arxiv.org/abs/2305.10269
We report 1,656 new star clusters found in the Galactic disk (|b|<20 degrees) beyond 1.2 kpc, using Gaia EDR3 data. Based on an unsupervised machine learning algorithm, DBSCAN, and followed our previous studies, we utilized a unique method to do the
Externí odkaz:
http://arxiv.org/abs/2209.08504
Although previous searches for star clusters have been very successful, many clusters are likely still omitted, especially at high Galactic latitude regions. In this work, based on the astrometry of Gaia EDR3, we searched nearby (parallax > 0.8 mas)
Externí odkaz:
http://arxiv.org/abs/2206.12170
Few-shot abstractive summarization has become a challenging task in natural language generation. To support it, we designed a novel soft prompts architecture coupled with a prompt pre-training plus fine-tuning paradigm that is effective and tunes onl
Externí odkaz:
http://arxiv.org/abs/2204.04413
Autor:
Qiu, Hang, Huang, Pohan, Asavisanu, Namo, Liu, Xiaochen, Psounis, Konstantinos, Govindan, Ramesh
Publikováno v:
ACM Mobisys 2022
Autonomous vehicles use 3D sensors for perception. Cooperative perception enables vehicles to share sensor readings with each other to improve safety. Prior work in cooperative perception scales poorly even with infrastructure support. AutoCast enabl
Externí odkaz:
http://arxiv.org/abs/2112.14947
Autor:
Huang, Xionghui, Sun, Li, Cao, Shengti, Xie, Wentao, Huo, Yueqing, Liu, Xiaochen, Xia, Jianming
Publikováno v:
In Journal of Molecular Liquids 15 August 2024 408
Autor:
Yu, Xiaohong, Cao, Hengyuan, Liu, Xiaochen, Liu, Jinbin, Lyu, Yongmei, Wang, Dujun, Wei, Ming
Publikováno v:
In Carbohydrate Research August 2024 542
Publikováno v:
In Materials Science & Engineering A August 2024 908
Publikováno v:
In Advances in Colloid and Interface Science August 2024 330