Water Sound Recognition Based on Support Vector Machine. - Tingting Hang; Jun Feng 001; Xiaodong Li 007; Le Yan (IMCOM, 2019)

Small Watershed Stream-Flow Forecasting Based on LSTM. - Le Yan; Jun Feng 001; Tingting Hang (IMCOM, 2019)

Stream-Flow Forecasting Based on Dynamic Spatio-Temporal Attention. - Jun Feng 001; Le Yan; Tingting Hang (IEEE Access, 2019)

Stream-Flow Forecasting of Small Rivers Based on LSTM. - Youchuan Hu; Le Yan; Tingting Hang; Jun Feng 001 (CoRR, 2020)

Incorporating Proportional Sparse Penalty for Causal Structure Learning. - Yunfeng Wang; Yuelong Zhu; Tingting Hang; Jun Feng 001; Jiamin Lu (ICTAI, 2021)

Flow interval prediction based on deep residual network and lower and upper boundary estimation method. - Le Yan; Jun Feng 001; Tingting Hang; Yuelong Zhu (Appl. Soft Comput., 2021)

A stream prediction model based on attention-LSTM. - Le Yan; Changwei Chen; Tingting Hang; Youchuan Hu (Earth Sci. Informatics, 2021)

Joint extraction of entities and overlapping relations using source-target entity labeling. - Tingting Hang; Jun Feng 001; Yirui Wu; Le Yan; Yunfeng Wang (Expert Syst. Appl., 2021)

Joint extraction of entities and relations using multi-label tagging and relational alignment. - Tingting Hang; Jun Feng 001; Le Yan; Yunfeng Wang; Jiamin Lu (Neural Comput. Appl., 2022)

Incorporating Normalized L1 Penalty and Eigenvalue Constraint for Causal Structure Learning. - Yunfeng Wang; Yuelong Zhu; Tingting Hang; Jiamin Lu; Jun Feng 001 (Int. J. Artif. Intell. Tools, 2023)

Graph neural networks with selective attention and path reasoning for document-level relation extraction. - Tingting Hang; Jun Feng 001; Yunfeng Wang; Le Yan (Appl. Intell., 2024)

A survey of Few-Shot Relation Extraction combining meta-learning with prompt learning. - Tingting Hang; Wei Wu; Jun Feng 001; Hamza Djigal; Jun Huang (Neurocomputing, 2025)