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Your search keyword '"Cao, Jingyu"' showing total 413 results
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413 results on '"Cao, Jingyu"'

1. XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

Author

Liu, Wenzhang, Cai, Wenzhe, Jiang, Kun, Cheng, Guangran, Wang, Yuanda, Wang, Jiawei, Cao, Jingyu, Xu, Lele, Mu, Chaoxu, and Sun, Changyin

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Digital Libraries
Abstract

In this paper, we present XuanCe, a comprehensive and unified deep reinforcement learning (DRL) library designed to be compatible with PyTorch, TensorFlow, and MindSpore. XuanCe offers a wide range of functionalities, including over 40 classical DRL and multi-agent DRL algorithms, with the flexibility to easily incorporate new algorithms and environments. It is a versatile DRL library that supports CPU, GPU, and Ascend, and can be executed on various operating systems such as Ubuntu, Windows, MacOS, and EulerOS. Extensive benchmarks conducted on popular environments including MuJoCo, Atari, and StarCraftII multi-agent challenge demonstrate the library's impressive performance. XuanCe is open-source and can be accessed at https://github.com/agi-brain/xuance.git., Comment: 16 pages, 4 figures, 32 conferences

Published
2023

13. A Case of Primary Hepatic Neuroendocrine Tumor with Skin Lump, Rash and Bone Pain as First Symptoms

Author

ZANG Bo, CAO Jingyu, WANG Jun, WANG Yan, WANG Liankun, WANG Changyao, and LIU Bin

Subjects
skin lump, non-bacterial osteomyelitis, focal liver lesion, neuroendocrine tumor, Medicine
Abstract

Neuroendocrine tumors(NETs) commonly occur in organs such as the gastrointestinal tract and pancreas, with the liver being the most common site of metastasis. Primary hepatic neuroendocrine tumors(PHNETs) originating from the liver are exceedingly rare. Herein, we report a case of PHNETs in a patient who presented initially with skin nodules, rash, and bone pain, followed by hyperglycemia and hypoproteinemia. Imaging studies revealed hepatic lesions, and the patient was ultimately diagnosed with PHNETs using 18F-OCT combined with 18F-FDG PET/CT and histopathology. The case not only presented a diagnostic challenge, but also exhibited rapid progression involving multiple systems. The experience gained in the diagnosis and treatment of this case may improve clinical awareness of NETs.

Published
2023
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14. Spectral self-adaptive absorber/emitter for harvesting energy from the sun and outer space

Author

Ao, Xianze, Li, Bowen, Zhao, Bin, Hu, Mingke, Ren, Hui, Yang, Honglun, Liu, Jie, Cao, Jingyu, Feng, Junsheng, Yang, Yuanjun, Qi, Zeming, Li, Liangbin, Pei, Gang, and Zou, Chongwen

Subjects
Condensed Matter - Materials Science, Physics - Optics, 74K35
Abstract

The sun (~6000 K) and outer space (~3 K) are the original heat source and sink for human beings on Earth. The energy applications of absorbing solar irradiation and harvesting the coldness of outer space for energy utilization have attracted considerable interest from researchers. However, combining these two functions in a static device for continuous energy harvesting is unachievable due to the intrinsic infrared spectral conflict. In this study, we developed spectral self-adaptive absorber/emitter (SSA/E) for daytime photothermal and nighttime radiative sky cooling modes depending on the phase transition of the vanadium dioxide coated layer. A 24-hour day-night test showed that the fabricated SSA/E has continuous energy harvesting ability and improved overall energy utilization performance, thus showing remarkable potential in future energy applications., Comment: 15 pages, 4 figures

Published
2020
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