Zobrazeno 1 - 10
of 263
pro vyhledávání: '"Ma Zihan"'
Information spreads faster through social media platforms than traditional media, thus becoming an ideal medium to spread misinformation. Meanwhile, automated accounts, known as social bots, contribute more to the misinformation dissemination. In thi
Externí odkaz:
http://arxiv.org/abs/2408.09613
Autor:
Wang, Yue, Fu, Tianfan, Xu, Yinlong, Ma, Zihan, Xu, Hongxia, Lu, Yingzhou, Du, Bang, Gao, Honghao, Wu, Jian
Clinical trials are indispensable for medical research and the development of new treatments. However, clinical trials often involve thousands of participants and can span several years to complete, with a high probability of failure during the proce
Externí odkaz:
http://arxiv.org/abs/2404.01273
Large-scale multi-agent pathfinding (MAPF) presents significant challenges in several areas. As systems grow in complexity with a multitude of autonomous agents operating simultaneously, efficient and collision-free coordination becomes paramount. Tr
Externí odkaz:
http://arxiv.org/abs/2402.15546
There are two challenges presented in parsing road scenes from UAV images: the complexity of processing high-resolution images and the dependency on extensive manual annotations required by traditional supervised deep learning methods to train robust
Externí odkaz:
http://arxiv.org/abs/2402.02985
Autor:
Xu, Shengfang1,2,3,4 (AUTHOR), Ma, Zihan4 (AUTHOR), Zhang, Jinlong5 (AUTHOR), Wang, Shaoyu6 (AUTHOR), Ge, Xin1,2,3 (AUTHOR), Yue, Songhong1,2,3 (AUTHOR), Li, Xinyi4 (AUTHOR), Qian, Jifang4 (AUTHOR), Zhu, Dalin4 (AUTHOR), Liu, Guangyao1,2,3 (AUTHOR), Zhang, Jing1,2,3 (AUTHOR) ery_zhangjing@lzu.edu.cn
Publikováno v:
Insights into Imaging. 7/2/2024, Vol. 15 Issue 1, p1-8. 8p.
High-fidelity simulation of complex physical systems is exorbitantly expensive and inaccessible across spatiotemporal scales. Recently, there has been an increasing interest in leveraging deep learning to augment scientific data based on the coarse-g
Externí odkaz:
http://arxiv.org/abs/2208.01462
Autor:
Feng, Shangbin, Tan, Zhaoxuan, Wan, Herun, Wang, Ningnan, Chen, Zilong, Zhang, Binchi, Zheng, Qinghua, Zhang, Wenqian, Lei, Zhenyu, Yang, Shujie, Feng, Xinshun, Zhang, Qingyue, Wang, Hongrui, Liu, Yuhan, Bai, Yuyang, Wang, Heng, Cai, Zijian, Wang, Yanbo, Zheng, Lijing, Ma, Zihan, Li, Jundong, Luo, Minnan
Twitter bot detection has become an increasingly important task to combat misinformation, facilitate social media moderation, and preserve the integrity of the online discourse. State-of-the-art bot detection methods generally leverage the graph stru
Externí odkaz:
http://arxiv.org/abs/2206.04564
Publikováno v:
In Journal of Cleaner Production 25 September 2024 472
Publikováno v:
In Dyes and Pigments September 2024 228
Autor:
Ma, Zihan1 (AUTHOR) mazihan20212021@163.com, Zhao, Longhao1 (AUTHOR), Xie, Chunhua1 (AUTHOR), Wang, Xianjian1 (AUTHOR), He, Ziyuan1 (AUTHOR), Chen, Xuegang1 (AUTHOR) xgchen@qust.edu.cn
Publikováno v:
Polymers (20734360). Jun2024, Vol. 16 Issue 11, p1519. 18p.