检索
AI 对话
AI 辅写
analysis
趋势分析
编组
数据平台
more
更多
排名必读论文期刊顶会热点AI 简史溯源树小脉星探人才迁徙塔尖人才国防情报追踪开源工具智慧手语
VIPCreated with Sketch.
研究兴趣

论文共 157 篇作者统计合作学者相似作者

按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Hierarchical few-shot learning based on top-down correction mechanism with stop strategy
Xiao Jia,Yingchi Mao, Hao Chen,Ping Ping, Rongzhi Qi
International Journal of Machine Learning and Cyberneticspp.1-16, (2024)
引用0浏览0引用
0
0
Improving Federated Learning through Abnormal Client Detection and Incentive
Hongle Guo,Yingchi Mao,Xiaoming He, Benteng Zhang, Tianfu Pang,Ping Ping
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCESno. 1 (2024): 383-403
引用0浏览0引用
0
0
Few-shot learning based on hierarchical feature fusion via relation networks
Xiao Jia,Yingchi Mao, Zhenxiang Pan, Zicheng Wang,Ping Ping
International Journal of Approximate Reasoning (2024): 109186
引用0浏览0引用
0
0
Image hiding using invertible neural network and similarity of bits pairs
Ping Ping, Qianwen Li, Bobiao Guo,Feng Xu, Festus Sibanda,Yingchi Mao
APPLIED SOFT COMPUTING (2024): 111180
引用0浏览0EI引用
0
0
MFAE: Multimodal Fusion and Alignment for Entity-level Disinformation Detection
Zhenxiang Pan,Yingchi Mao, Li Xiong, Tianfu Pang,Ping Ping
Pattern Recognition Letters (2024)
引用0浏览0引用
0
0
Scale-Aware Graph Convolutional Network With Part-Level Refinement for Skeleton-Based Human Action Recognition
Chang Li,Yingchi Mao,Qian Huang, Xiaowei Zhu, Jie Wu
IEEE Trans. Circuits Syst. Video Technol.no. 6 (2024): 4311-4324
引用0浏览0EIWOS引用
0
0
Federated Dynamic Client Selection for Fairness Guarantee in Heterogeneous Edge Computing
Ying-Chi Mao, Li-Juan Shen,Jun Wu,Ping Ping,Jie Wu
Journal of Computer Science and Technologyno. 1 (2024): 139-158
引用0浏览0EI引用
0
0
Cross-modal knowledge learning with scene text for fine-grained image classification
Li Xiong,Yingchi Mao, Zicheng Wang, Bingbing Nie,Chang Li
IET IMAGE PROCESSINGno. 6 (2024): 1447-1459
引用0浏览0EI引用
0
0
加载更多
作者统计
  • 合作者
  • 学生
  • 导师
暂无相似学者，你可以通过学者研究领域进行搜索筛选
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果，我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问，可以通过电子邮件方式联系我们：report@aminer.cn