A Blockchain-based Subscriber Data Management Scheme for 6G Mobile Communication System. - Xueqiang Yan; Xueli An; Wenxuan Ye; Mingyu Zhao; Jianjun Wu (GLOBECOM (Workshops), 2021)

FLaaS6G: Federated Learning as a Service in 6G Using Distributed Data Management Architecture. - Wenxuan Ye; Xueli An; Xueqiang Yan; Mohammad Hamad; Sebastian Steinhorst (GLOBECOM, 2022)

An Approach to Mispronunciation Detection and Diagnosis with Acoustic, Phonetic and Linguistic (APL) Embeddings. - Wenxuan Ye; Shaoguang Mao; Frank K. Soong; Wenshan Wu; Yan Xia 005; Jonathan Tien; Zhiyong Wu 001 (ICASSP, 2022)

User-Centric Network Architecture Design for 6G Mobile Communication Systems. - Xueqiang Yan; Xueli An; Wenxuan Ye; Mingyu Zhao; Yan Xi; Jianjun Wu (EuCNC/6G Summit, 2023)

Trustworthy Federated Learning via Decentralized Consensus Under Communication Constraints. - Wenxuan Ye; Xueli An; Xueqiang Yan; Georg Carle (GLOBECOM (Workshops), 2023)

Advancing Federated Learning in 6G: A Trusted Architecture with Graph-Based Analysis. - Wenxuan Ye; Chendi Qian; Xueli An; Xueqiang Yan; Georg Carle (GLOBECOM, 2023)

Adaptive Prompt Routing for Arbitrary Text Style Transfer with Pre-trained Language Models. - Qingyi Liu; Jinghui Qin; Wenxuan Ye; Hao Mou; Yuxuan He; Keze Wang (AAAI, 2024)

Unleashing the Power of Multi-Task Learning: A Comprehensive Survey Spanning Traditional, Deep, and Pretrained Foundation Model Eras. - Jun Yu; Yutong Dai 002; Xiaokang Liu; Jin Huang; Yishan Shen; Ke Zhang; Rong Zhou; Eashan Adhikarla; Wenxuan Ye; Yixin Liu 002; Zhaoming Kong; Kai Zhang 039; et al. (CoRR, 2024)

Adaptive Few-shot Prompting for Machine Translation with Pre-trained Language Models. - Lei Tang; Jinghui Qin; Wenxuan Ye; Hao Tan 007; Zhijing Yang (AAAI, 2025)

FedABC: Attention-Based Client Selection for Federated Learning with Long-Term View. - Wenxuan Ye; Xueli An; Junfan Wang; Xueqiang Yan; Georg Carle (ICC, 2025)

textit{FedABC}: Attention-Based Client Selection for Federated Learning with Long-Term View. - Wenxuan Ye; Xueli An; Junfan Wang; Xueqiang Yan; Georg Carle (CoRR, 2025)

Towards a Larger Model via One-Shot Federated Learning on Heterogeneous Client Models. - Wenxuan Ye; Xueli An; Onur Ayan; Junfan Wang; Xueqiang Yan; Georg Carle (CoRR, 2025)