A Multiscale Concept Drift Detection Method for Learning from Data Streams. - XueSong Wang 002; Qi Kang; MengChu Zhou; SiYa Yao (CASE, 2018)

An Adaptive Pre-clustering Support Vector Machine for Binary Imbalanced Classification. - Zonglin Di; SiYa Yao; Qi Kang; Mengchu Zhou (SMC, 2018)

Hierarchically Non-continuous Regression Prediction for Short-Term Photovoltaic Power Output. - SiYa Yao; Le Pan; ZiBo Yu; Qi Kang; MengChu Zhou (ICNSC, 2019)

Enhanced Subspace Distribution Matching for Fast Visual Domain Adaptation. - Qi Kang; SiYa Yao; MengChu Zhou; Kai Zhang; Abdullah Abusorrah (IEEE Trans. Comput. Soc. Syst., 2020)

Effective Visual Domain Adaptation via Generative Adversarial Distribution Matching. - Qi Kang; SiYa Yao; MengChu Zhou; Kai Zhang; Abdullah Abusorrah (IEEE Trans. Neural Networks Learn. Syst., 2021)

Multi-objective Neural Architecture Adaptation in Transfer Learning. - Siya Yao; Yu Zhao; Qi Deng; Jun Ma; Qi Kang (ICNSC, 2022)

Domain Adaptation Multitask Optimization. - Xiaoling Wang 003; Qi Kang; MengChu Zhou; Siya Yao; Abdullah Abusorrah (IEEE Trans. Cybern., 2023)

Discriminative Manifold Distribution Alignment for Domain Adaptation. - SiYa Yao; Qi Kang; Mengchu Zhou; Muhyaddin J. Rawa; Aiiad Albeshri (IEEE Trans. Syst. Man Cybern. Syst., 2023)

A survey of transfer learning for machinery diagnostics and prognostics. - Siya Yao; Qi Kang; MengChu Zhou; Muhyaddin J. Rawa; Abdullah Abusorrah (Artif. Intell. Rev., 2023)

Safely Knowledge Transfer from Source Models via an Iterative Pruning Based Learning Approach. - Xiaoyu Sean Lu; Jianan Zhang; Siya Yao; Bo Huang 008 (SMC, 2024)

MemeNet: Toward a Reliable Local Projection for Image Recognition via Semantic Featurization. - Jiacheng Tang; Qi Kang; Mengchu Zhou; Hao Yin; Siya Yao (IEEE Trans. Image Process., 2024)

A Communication Contention-Cognizant Scheduling Approach for Workflow Execution Across Public and Private Clouds. - Qingliang Zhang; Quanwang Wu; MengChu Zhou; Junhao Wen 001; Siya Yao (IEEE Trans Autom. Sci. Eng., 2024)