Learning from Multiple Time Series: A Deep Disentangled Approach to Diversified Time Series Forecasting. - Ling Chen 001; Weiqi Chen; Binqing Wu; Youdong Zhang; Bo Wen; Chenghu Yang (CoRR, 2021)

Tair-PMem: a Fully Durable Non-Volatile Memory Database. - Caixin Gong; Chengjin Tian; Zhengheng Wang; Sheng Wang 011; Xiyu Wang; Qiulei Fu; Wu Qin; Qian Long; Rui Chen; Jiang Qi; Ruo Wang; Guoyun Zhu; et al. (Proc. VLDB Endow., 2022)

A Multiscale Interactive Recurrent Network for Time-Series Forecasting. - Donghui Chen; Ling Chen 001; Youdong Zhang; Bo Wen; Chenghu Yang (IEEE Trans. Cybern., 2022)

AARGNN: An Attentive Attributed Recurrent Graph Neural Network for Traffic Flow Prediction Considering Multiple Dynamic Factors. - Ling Chen 001; Wei Shao 007; Mingqi Lv; Weiqi Chen; Youdong Zhang; Chenghu Yang (IEEE Trans. Intell. Transp. Syst., 2022)

Noise-Resistant Graph Neural Networks for Session-Based Recommendation. - Qi Wang 009; Anbiao Wu; Ye Yuan 001; Yishu Wang 001; Guangqing Zhong; Xuefeng Gao; Chenghu Yang (APWeb/WAIM (2), 2024)

G2C-Net: Grade-Skewed domain adaptation network with coordinate and category attention for diabetic retinopathy grading. - Binlong Lin; Delong Nie; Xiaoyuan Wu; Ximei Shen; Chenghu Yang (Biomed. Signal Process. Control., 2025)

Scale-Aware Neural Architecture Search for Multivariate Time Series Forecasting. - Donghui Chen; Ling Chen 001; Zongjiang Shang; Youdong Zhang; Bo Wen; Chenghu Yang (ACM Trans. Knowl. Discov. Data, 2025)

ArcNeural: A Multi-Modal Database for the Gen-AI Era. - Wu Min; Qiao Yuncong; Yu Tan; Chenghu Yang (CoRR, 2025)