A Feature Adaptive Learning Method for High-Density sEMG-Based Gesture Recognition. - Yingwei Zhang 002; Yiqiang Chen 001; Hanchao Yu; Xiaodong Yang 005; Ruizhe Sun; Bixiao Zeng (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021)

Class-Wise Adaptive Self Distillation for Federated Learning on Non-IID Data (Student Abstract). - Yuting He; Yiqiang Chen 001; Xiaodong Yang 005; Yingwei Zhang 002; Bixiao Zeng (AAAI, 2022)

CLC: A Consensus-based Label Correction Approach in Federated Learning. - Bixiao Zeng; Xiaodong Yang 005; Yiqiang Chen 001; Hanchao Yu; Yingwei Zhang 002 (ACM Trans. Intell. Syst. Technol., 2022)

Adaptive Multi-modal Data Fusion Method for Dermatosis Diagnosis. - Yaning Li; Xiaodong Yang 005; Yiqiang Chen 001; Shubai Chen; Bixiao Zeng; Hong Cai (BIBM, 2023)

FedES: Federated Early-Stopping for Hindering Memorizing Heterogeneous Label Noise. - Bixiao Zeng; Xiaodong Yang 005; Yiqiang Chen 001; Zhiqi Shen 001; Hanchao Yu; Yingwei Zhang 002 (IJCAI, 2024)

TFAugment: A Key Frequency-Driven Data Augmentation Method for Human Activity Recognition. - Hao Zhang; Bixiao Zeng; Mei Kuang; Xiaodong Yang 005; Hongfang Gong (PKDD (4), 2024)

Federated Data Quality Assessment Approach: Robust Learning With Mixed Label Noise. - Bixiao Zeng; Xiaodong Yang 005; Yiqiang Chen 001; Hanchao Yu; Chunyu Hu 001; Yingwei Zhang 002 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Hierarchical Semi-Supervised Federated Learning Method for Dermatosis Diagnosis. - Ruizhe Sun; Bixiao Zeng; Yiqiang Chen; Xiaodong Yang; Hanchao Yu (WCNC, 2025)