Prior-Knowledge-Driven Local Causal Structure Learning and Its Application on Causal Discovery Between Type 2 Diabetes and Bone Mineral Density. - Wei Wang 274; Gangqiang Hu; Bo Yuan; Shandong Ye; Chao Chen; Yayun Cui; Xi Zhang; Liting Qian (IEEE Access, 2020)

Local Causal Structure Learning and its Discovery Between Type 2 Diabetes and Bone Mineral Density. - Wei Wang 274; Gangqiang Hu; Bo Yuan; Shandong Ye; Chao Chen; Yayun Cui; Xi Zhang; Liting Qian (CoRR, 2020)

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., 2022)

Truthful Incentive Mechanism Design via Internalizing Externalities and LP Relaxation for Vertical Federated Learning. - Jianfeng Lu 002; Bangqi Pan; Abegaz Mohammed Seid; Bing Li 014; Gangqiang Hu; Shaohua Wan 001 (IEEE Trans. Comput. Soc. Syst., 2023)

Game-Theoretic Design of Quality-Aware Incentive Mechanisms for Hierarchical Federated Learning. - Gangqiang Hu; Jianmin Han; Jianfeng Lu 002; Juan Yu 002; Sheng Qiu; Hao Peng 002; Donglin Zhu; Taiyong Li (IEEE Internet Things J., 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)

TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning. - Gangqiang Hu; Jianfeng Lu 002; Jianmin Han; Shuqin Cao; Jing Liu 032; Hao Fu (AAAI, 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, 2025)