Tingting Hang

According to our database, Tingting Hang authored at least 18 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Few-Shot Relation Extraction Based on Prompt Learning: A Taxonomy, Survey, Challenges and Future Directions.

Tingting Hang, Shuting Liu, Jun Feng, Hamza Djigal, Jun Huang

ACM Comput. Surv., January, 2026

Continual relation extraction with wake-sleep memory consolidation.

Tingting Hang, Ya Guo, Jun Huang, Yirui Wu, Umapada Pal, Shivakumara Palaiahnakote

Pattern Recognit., 2026

BFDM: Continual relation extraction via bidirectional feedback and dynamic multi-teacher knowledge distillation.

Tingting Hang, Desheng Li, Zijian Xu, Jun Feng

Inf. Process. Manag., 2026

PQMT: Position-aware Network and Qualifier-Interactive Attention for multi-task hyper-relation extraction.

Tingting Hang, Haichao Ding, Qi Tang, Jun Feng

Inf. Process. Manag., 2026

BTMC: Hyper-relation extraction via BiTime-LSTM and multi-relation contrastive learning.

Tingting Hang, Haichao Ding, Qi Tang, Jun Feng, Yirui Wu

Expert Syst. Appl., 2026

2025

GAPrompt: A soft prompt compression model for few-shot relation extraction.

Tingting Hang, Wei Wu, Shuting Liu, Jun Feng, Hamza Djigal

Knowl. Based Syst., 2025

A survey of Few-Shot Relation Extraction combining meta-learning with prompt learning.

Tingting Hang, Wei Wu, Jun Feng, Hamza Djigal, Jun Huang

Neurocomputing, 2025

2024

Graph neural networks with selective attention and path reasoning for document-level relation extraction.

Tingting Hang, Jun Feng, Yunfeng Wang, Le Yan

Appl. Intell., April, 2024

2023

Incorporating Normalized L1 Penalty and Eigenvalue Constraint for Causal Structure Learning.

Yunfeng Wang, Yuelong Zhu, Tingting Hang, Jiamin Lu, Jun Feng

Int. J. Artif. Intell. Tools, August, 2023

2022

Joint extraction of entities and relations using multi-label tagging and relational alignment.

Tingting Hang, Jun Feng, Le Yan, Yunfeng Wang, Jiamin Lu

Neural Comput. Appl., 2022

2021

Joint extraction of entities and overlapping relations using source-target entity labeling.

Tingting Hang, Jun Feng, Yirui Wu, Le Yan, Yunfeng Wang

Expert Syst. Appl., 2021

A stream prediction model based on attention-LSTM.

Le Yan, Changwei Chen, Tingting Hang, Youchuan Hu

Earth Sci. Informatics, 2021

Flow interval prediction based on deep residual network and lower and upper boundary estimation method.

Le Yan, Jun Feng, Tingting Hang, Yuelong Zhu

Appl. Soft Comput., 2021

Incorporating Proportional Sparse Penalty for Causal Structure Learning.

Yunfeng Wang, Yuelong Zhu, Tingting Hang, Jun Feng, Jiamin Lu

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

2020

Stream-Flow Forecasting of Small Rivers Based on LSTM.

Youchuan Hu, Le Yan, Tingting Hang, Jun Feng

CoRR, 2020

2019

Stream-Flow Forecasting Based on Dynamic Spatio-Temporal Attention.

Jun Feng, Le Yan, Tingting Hang

IEEE Access, 2019

Small Watershed Stream-Flow Forecasting Based on LSTM.

Le Yan, Jun Feng, Tingting Hang

Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication, 2019

Water Sound Recognition Based on Support Vector Machine.

Tingting Hang, Jun Feng, Xiaodong Li, Le Yan

Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication, 2019