Kejia Fan

According to our database, Kejia Fan authored at least 8 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

CRL-MABA: A Completion Rate Learning-Based Accurate Data Collection Scheme in Large-Scale Energy Internet.

Kejia Fan, Jianheng Tang, Wenxuan Xie, Feijiang Han, Yajiang Huang, Zhenzhe Qu, Anfeng Liu, Neal N. Xiong, Tian Wang, Shaobo Zhang

IEEE Internet Things J., July, 2024

BTV-CMAB: A Bi-Directional Trust Verification-Based Combinatorial Multiarmed Bandit Scheme for Mobile Crowdsourcing.

Jianheng Tang, Kejia Fan, Wenxuan Xie, Feijiang Han, Zhenzhe Qu, Anfeng Liu, Neal N. Xiong, Shaobo Zhang, Tian Wang

IEEE Internet Things J., January, 2024

Q-BLPP: A Quality-Enabled Bilateral Location Privacy-Preserving Service Construction Scheme in Mobile Crowd Sensing.

Jianheng Tang, Yishuo Cai, Saiqin Long, Yirui Shen, Kejia Fan, Zhetao Li, Qingyong Deng, Anfeng Liu

IEEE Trans. Serv. Comput., 2024

SegACIL: Solving the Stability-Plasticity Dilemma in Class-Incremental Semantic Segmentation.

Jiaxu Li, Songning Lai, Rui Li, Di Fang, Kejia Fan, Jianheng Tang, Yuhan Zhao, Rongchang Zhao, Dongzhan Zhou, Yutao Yue, Huiping Zhuang

CoRR, 2024

TS-ACL: A Time Series Analytic Continual Learning Framework for Privacy-Preserving and Class-Incremental Pattern Recognition.

Kejia Fan, Jiaxu Li, Songning Lai, Linpu Lv, Anfeng Liu, Jianheng Tang, Houbing Herbert Song, Huiping Zhuang

CoRR, 2024

2023

Credit and quality intelligent learning based multi-armed bandit scheme for unknown worker selection in multimedia MCS.

Jianheng Tang, Feijiang Han, Kejia Fan, Wenxuan Xie, Pengzhi Yin, Zhenzhe Qu, Anfeng Liu, Neal N. Xiong, Shaobo Zhang, Tian Wang

Inf. Sci., November, 2023

DLFTI: A deep learning based fast truth inference mechanism for distributed spatiotemporal data in mobile crowd sensing.

Jianheng Tang, Kejia Fan, Pengzhi Yin, Zhenzhe Qu, Anfeng Liu, Neal N. Xiong, Tian Wang, Mianxiong Dong, Shaobo Zhang

Inf. Sci., October, 2023

A Semi-supervised Sensing Rate Learning based CMAB scheme to combat COVID-19 by trustful data collection in the crowd.

Jianheng Tang, Kejia Fan, Wenxuan Xie, Luomin Zeng, Feijiang Han, Guosheng Huang, Tian Wang, Anfeng Liu, Shaobo Zhang

Comput. Commun., 2023