FI-SHAP: Explanation of Time Series Forecasting and Improvement of Feature Engineering Based on Boosting Algorithm. - Yuyi Zhang 001; Ovanes L. Petrosian; Jing Liu 075; Ruimin Ma; Kirill Krinkin (IntelliSys (3), 2022)

Forecasting and XAI for Applications Usage in OS. - Ruimin Ma; Yuyi Zhang 001; Jing Liu 075; Yin Li; Ovanes L. Petrosian; Kirill Krinkin (MLIS, 2022)

ShapTime: A General XAI Approach for Explainable Time Series Forecasting. - Yuyi Zhang 001; Qiushi Sun; Dongfang Qi; Jing Liu 075; Ruimin Ma; Ovanes L. Petrosian (IntelliSys (1), 2023)

Resource Allocation in Heterogeneous Network with Supervised GNNs. - Qiushi Sun; Yuyi Zhang 001; Haitao Wu; Ovanes L. Petrosian (ICSI (2), 2023)

DAGCN: hybrid model for efficiently handling joint node and link prediction in cloud workflows. - Ruimin Ma; Junqi Gao; Li Cheng; Yuyi Zhang 001; Ovanes L. Petrosian (Appl. Intell., 2024)

Automated Feature Engineering Based on Explainable Artificial Intelligence for Time Series Forecasting. - Ovanes L. Petrosian; Dongfang Qi; Yuyi Zhang 001 (IEEE Access, 2025)

Multi type mean field reinforcement learning for optimal resource allocation in heterogeneous network. - Qiushi Sun; Yuyi Zhang 001; Haitao Wu; Yin Li; Ovanes L. Petrosian (Eng. Appl. Artif. Intell., 2025)