Gangqiang Hu

According to our database, Gangqiang Hu authored at least 11 papers between 2020 and 2026.

Collaborative distances:

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

2026

Dynamic federated learning: coping with the challenge of label noise in real-time network data.

Chengtian Ouyang, Jiaxiang Wan, Donglin Zhu, Gangqiang Hu, Changjun Zhou, Zhiquan Liu, Taiyong Li

J. King Saud Univ. Comput. Inf. Sci., 2026

DNA Sequence-Inspired Similarity-Driven Particle Swarm Optimization for UAV-BS Deployment.

Donglin Zhu, Jialing Hu, Jiaying Shen, Zhaolong Ouyang, Gangqiang Hu, Changjun Zhou, Shi Cheng, Zhiquan Liu

IEEE Internet Things J., 2026

Federated learning with dynamics-aware loss for label noise.

Chengtian Ouyang, Jihong Mao, Zhiquan Liu, Donglin Zhu, Changjun Zhou, Gangqiang Hu, Taiyong Li

Expert Syst. Appl., 2026

2025

LLMs are Single-threaded Reasoners: Demystifying the Working Mechanism of Soft Thinking.

Chünhung Wu, Jinliang Lu, Zixuan Ren, Gangqiang Hu, Zhi Wu, Dai Dai, Hua Wu

CoRR, August, 2025

TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning.

Gangqiang Hu, Jianfeng Lu, Jianmin Han, Shuqin Cao, Jing Liu, Hao Fu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Fundus image segmentation based on random collision whale optimization algorithm.

Donglin Zhu, Xingyun Zhu, Yuemai Zhang, Weijie Li, Gangqiang Hu, Changjun Zhou, Hu Jin, Sang-Woon Jeon, Shan Zhong

J. Comput. Sci., 2024

Game-Theoretic Design of Quality-Aware Incentive Mechanisms for Hierarchical Federated Learning.

Gangqiang Hu, Jianmin Han, Jianfeng Lu, Juan Yu, Sheng Qiu, Hao Peng, Donglin Zhu, Taiyong Li

IEEE Internet Things J., 2024

2023

Truthful Incentive Mechanism Design via Internalizing Externalities and LP Relaxation for Vertical Federated Learning.

Jianfeng Lu, Bangqi Pan, Abegaz Mohammed Seid, Bing Li, Gangqiang Hu, Shaohua Wan

IEEE Trans. Comput. Soc. Syst., December, 2023

2022

Contextual-Aware Information Extractor with Adaptive Objective for Chinese Medical Dialogues.

Gangqiang Hu, Shengfei Lyu, Xingyu Wu, Jinlong Li, Huanhuan Chen

ACM Trans. Asian Low Resour. Lang. Inf. Process., September, 2022

2020

Local Causal Structure Learning and its Discovery Between Type 2 Diabetes and Bone Mineral Density.

Wei Wang, Gangqiang Hu, Bo Yuan, Shandong Ye, Chao Chen, Yayun Cui, Xi Zhang, Liting Qian

CoRR, 2020

Prior-Knowledge-Driven Local Causal Structure Learning and Its Application on Causal Discovery Between Type 2 Diabetes and Bone Mineral Density.

Wei Wang, Gangqiang Hu, Bo Yuan, Shandong Ye, Chao Chen, Yayun Cui, Xi Zhang, Liting Qian

IEEE Access, 2020