Feijiang Han

According to our database, Feijiang Han authored at least 12 papers between 2023 and 2025.

Collaborative distances:

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

2025

APFL: Analytic Personalized Federated Learning via Dual-Stream Least Squares.

Kejia Fan, Jianheng Tang, Zhirui Yang, Feijiang Han, Jiaxu Li, Run He, Yajiang Huang, Anfeng Liu, Houbing Herbert Song, Yunhuai Liu, Huiping Zhuang

CoRR, August, 2025

CALM: A Ubiquitous Crowdsourced Analytic Learning Mechanism for Continual Service Construction with Data Privacy Preservation.

Kejia Fan, Yajiang Huang, Jingyu He, Feijiang Han, Jianheng Tang, Huiping Zhuang, Anfeng Liu, Tian Wang, Mianxiong Dong, Houbing Herbert Song, Yunhuai Liu

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., June, 2025

ACU: Analytic Continual Unlearning for Efficient and Exact Forgetting with Privacy Preservation.

Jianheng Tang, Huiping Zhuang, Di Fang, Jiaxu Li, Feijiang Han, Yajiang Huang, Kejia Fan, Leye Wang, Zhanxing Zhu, Shanghang Zhang, Houbing Herbert Song, Yunhuai Liu

CoRR, May, 2025

ZeroTuning: Unlocking the Initial Token's Power to Enhance Large Language Models Without Training.

Feijiang Han, Xiaodong Yu, Jianheng Tang, Lyle H. Ungar

CoRR, May, 2025

Can LLMs handle WebShell detection? Overcoming Detection Challenges with Behavioral Function-Aware Framework.

Feijiang Han, Jiaming Zhang, Chuyi Deng, Jianheng Tang, Yunhuai Liu

CoRR, April, 2025

Question Tokens Deserve More Attention: Enhancing Large Language Models without Training through Step-by-Step Reading and Question Attention Recalibration.

Feijiang Han, Licheng Guo, Hengtao Cui, Zhiyuan Lyu

CoRR, April, 2025

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

MAB-RP: A Multi-Armed Bandit based workers selection scheme for accurate data collection in crowdsensing.

Yuwei Lou, Jianheng Tang, Feijiang Han, Anfeng Liu, Neal N. Xiong, Shaobo Zhang, Tian Wang, Mianxiong Dong

Inf. Sci., 2024

FCTree: Visualization of function calls in execution.

Fangfang Zhou, Yilun Fan, Shenglan Lv, Lijia Jiang, Zhuo Chen, Jian Yuan, Feijiang Han, Haojin Jiang, Genghuai Bai, Ying Zhao

Inf. Softw. Technol., 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

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