Analytical Modeling of a Doubly Clamped Flexible Piezoelectric Energy Harvester with Axial Excitation and Its Experimental Characterization. - Jie Mei; Qiong Fan; Lijie Li; Dingfang Chen; Lin Xu; Qingyang Dai; Qi Liu (Sensors, 2021)

Unsupervised Anomaly Detection & Diagnosis: A Stein Variational Gradient Descent Approach. - Zhichao Chen 001; Leilei Ding; Jianmin Huang; Zhixuan Chu; Qingyang Dai; Hao Wang 049 (CIKM, 2023)

WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine. - Siqiao Xue; Fan Zhou 012; Yi Xu; Hongyu Zhao 006; Shuo Xie; Qingyang Dai; Caigao Jiang; James Y. Zhang; Jun Zhou 011; Dacheng Xiu; Hongyuan Mei (CoRR, 2023)

Incremental Variational Bayesian Gaussian Mixture Model With Decremental Optimization for Distribution Accommodation and Fine-Scale Adaptive Process Monitoring. - Qingyang Dai; Chunhui Zhao 001; Biao Huang 001 (IEEE Trans. Cybern., 2023)

FAMMA: A Benchmark for Financial Domain Multilingual Multimodal Question Answering. - Siqiao Xue; Tingting Chen; Fan Zhou 012; Qingyang Dai; Zhixuan Chu; Hongyuan Mei (CoRR, 2024)

Variational Bayesian Student's-t Mixture Model With Closed-Form Missing Value Imputation for Robust Process Monitoring of Low-Quality Data. - Qingyang Dai; Chunhui Zhao 001; Shunyi Zhao (IEEE Trans. Cybern., 2024)

TransDF: Time-Series Forecasting Needs Transformed Label Alignment. - Hao Wang; Licheng Pan; Zhichao Chen; Xu Chen; Qingyang Dai; Lei Wang; Haoxuan Li; Zhouchen Lin (CoRR, 2025)

M2D-VAE: Self-Supervised Probabilistic Temporal-Spatial Latent Representation Learning for Unsupervised Industrial Operational Applications Under Missing Value Interference. - Qingyang Dai; Chunhui Zhao 001; Biao Huang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)