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  1. en.wikipedia.org › wiki › Wang_MangWang Mang - Wikipedia

    Wang Mang (45 BCE [1] – 6 October 23 CE), courtesy name Jujun, officially known as the Shijianguo Emperor ( 始建國天帝 ), was the founder and the only emperor of the short-lived Chinese Xin dynasty. [note 1] He was originally an official and consort kin of the Han dynasty and later seized the throne in 9 CE.

  2. Wang Ang wrote a lot of books on medicine. Although he made contribution in the aspects of practicability, circulated dimension, and the popularization and the advancing of medicine, his achievement is mainly focused in the field of methodology of prescription.

  3. Explore Wang Ang with Trip.com's comprehensive travel guide. Discover the city's top attractions, best local dishes, essential travel tips, and hidden gems. Get insights from real travelers' reviews and make the most of your visit.

  4. Wang Gang ( Chinese: 王刚; pinyin: Wáng Gāng; born 11 June 1989) is a Chinese chef and Internet personality. He was born in Fushun County, Zigong, Sichuan, and decided to pursue a culinary career at age 15.

  5. dblp.org › pid › 88dblp: Ang Wang

    Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training. EMNLP (Industry Track) 2022: 560-570. [c6] Xianyan Jia, Le Jiang, Ang Wang, Wencong Xiao, Ziji Shi, Jie Zhang, Xinyuan Li, Langshi Chen, Yong Li, Zhen Zheng, Xiaoyong Liu, Wei Lin:

  6. Mar 1, 2021 · We propose a cross-modal pretraining method called M6, referring to Multi-Modality to Multi-Modality Multitask Mega-transformer, for unified pretraining on the data of single modality and multiple modalities. We scale the model size up to 10 billion and 100 billion parameters, and build the largest pretrained model in Chinese.

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  8. Dec 8, 2020 · GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs. Binghui Wang, Ang Li, Hai Li, Yiran Chen. Graph-based semi-supervised node classification (GraphSSC) has wide applications, ranging from networking and security to data mining and machine learning, etc.