Mitigating barren plateaus of variational quantum eigensolvers. - Xia Liu; Geng Liu; Jiaxin Huang 009; Xin Wang 022 (CoRR, 2022)

Leveraging Deep Learning Models for Cross-function Null Pointer Risks Detection. - Yue Ding; Qian Wu; Yinzhu Li; Dongdong Wang; Jiaxin Huang 009 (AITest, 2023)

Real-Time Anomaly Detection in Time Series Using Transformer-Like Architecture. - Meixian Zhang; Xue Shi; Jiaxin Huang 009 (AITest, 2024)

DynTrackr: A Robust Two-Stage Framework with Attribute Enhancement for KPI Anomaly Detection. - Meixian Zhang; Xue Shi; Jiaxin Huang 009; Lide Su; Yanan Zhang (ISSRE (Workshops), 2024)