Shengfei Lyu

According to our database, Shengfei Lyu authored at least 25 papers between 2020 and 2024.

Collaborative distances:

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

2024

Driver profiling using trajectories on arbitrary roads by clustering roads and drivers successively.

Shengfei Lyu, Di Wang, Xuehao Yang, Chunyan Miao

Memetic Comput., September, 2024

Self-Attention Over Tree for Relation Extraction With Data-Efficiency and Computational Efficiency.

Shengfei Lyu, Xiren Zhou, Xingyu Wu, Qiuju Chen, Huanhuan Chen

IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

Converse Attention Knowledge Transfer for Low-Resource Named Entity Recognition.

Shengfei Lyu, Linghao Sun, Huixiong Yi, Yong Liu, Huanhuan Chen, Chunyan Miao

Int. J. Crowd Sci., 2024

A Dual-module Framework for Counterfactual Estimation over Time.

Xin Wang, Shengfei Lyu, Lishan Yang, Yibing Zhan, Huanhuan Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Temporal knowledge graph embedding via sparse transfer matrix.

Xin Wang, Shengfei Lyu, Xiangyu Wang, Xingyu Wu, Huanhuan Chen

Inf. Sci., April, 2023

A Survey on Automatic Delineation of Radiotherapy Target Volume based on Machine Learning.

Zhenchao Tao, Shengfei Lyu

Data Intell., 2023

A Software Platform for Evaluating Student Essays in Interdisciplinary Learning with Topic Classification Techniques.

Bryan Lim Cheng Yee, Chenyu Hou, Gaoxia Zhu, Fun Siong Lim, Shengfei Lyu, Xiuyi Fan

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

2022

Contextual-Aware Information Extractor with Adaptive Objective for Chinese Medical Dialogues.

Gangqiang Hu, Shengfei Lyu, Xingyu Wu, Jinlong Li, Huanhuan Chen

ACM Trans. Asian Low Resour. Lang. Inf. Process., September, 2022

Mapping the Buried Cable by Ground Penetrating Radar and Gaussian-Process Regression.

Xiren Zhou, Qiuju Chen, Shengfei Lyu, Huanhuan Chen

IEEE Trans. Geosci. Remote. Sens., 2022

Do Models Learn the Directionality of Relations? A New Evaluation: Relation Direction Recognition.

Shengfei Lyu, Xingyu Wu, Jinlong Li, Qiuju Chen, Huanhuan Chen

IEEE Trans. Emerg. Top. Comput. Intell., 2022

Auxiliary Learning for Relation Extraction.

Shengfei Lyu, Jin Cheng, Xingyu Wu, Lizhen Cui, Huanhuan Chen, Chunyan Miao

IEEE Trans. Emerg. Top. Comput. Intell., 2022

Ellipse Inversion Model for Estimating the Orientation and Radius of Pipes From GPR Image.

Xiren Zhou, Qiuju Chen, Shengfei Lyu, Huanhuan Chen

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Estimating the Direction and Radius of Pipe from GPR Image by Ellipse Inversion Model.

Xiren Zhou, Qiuju Chen, Shengfei Lyu, Huanhuan Chen

CoRR, 2022

Generalization Bounds for Estimating Causal Effects of Continuous Treatments.

Xin Wang, Shengfei Lyu, Xingyu Wu, Tianhao Wu, Huanhuan Chen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Short isometric shapelet transform for binary time series classification.

Weibo Shu, Yaqiang Yao, Shengfei Lyu, Jinlong Li, Huanhuan Chen

Knowl. Inf. Syst., 2021

Convolutional Recurrent Neural Networks for Text Classification.

Shengfei Lyu, Jiaqi Liu

J. Database Manag., 2021

Do Models Learn the Directionality of Relations? A New Evaluation Task: Relation Direction Recognition.

Shengfei Lyu, Xingyu Wu, Jinlong Li, Qiuju Chen, Huanhuan Chen

CoRR, 2021

Relation Classification with Entity Type Restriction.

Shengfei Lyu, Huanhuan Chen

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Multiclass Probabilistic Classification Vector Machine.

Shengfei Lyu, Xing Tian, Yang Li, Bingbing Jiang, Huanhuan Chen

IEEE Trans. Neural Networks Learn. Syst., 2020

Text Classification based on Multi-granularity Attention Hybrid Neural Network.

Zhenyu Liu, Chaohong Lu, Haiwei Huang, Shengfei Lyu, Zhenchao Tao

CoRR, 2020

Multichannel CNN with Attention for Text Classification.

Zhenyu Liu, Haiwei Huang, Chaohong Lu, Shengfei Lyu

CoRR, 2020

Combine Convolution with Recurrent Networks for Text Classification.

Shengfei Lyu, Jiaqi Liu

CoRR, 2020

Probabilistic Classification Vector Machine for Multi-Class Classification.

Shengfei Lyu, Xing Tian, Yang Li, Bingbing Jiang, Huanhuan Chen

CoRR, 2020

Hierarchical Multi-Granularity Attention- Based Hybrid Neural Network for Text Classification.

Zhenyu Liu, Chaohong Lu, Haiwei Huang, Shengfei Lyu, Zhenchao Tao

IEEE Access, 2020

Hybrid Framework of Convolution and Recurrent Neural Networks for Text Classification.

Shengfei Lyu, Jiaqi Liu

Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020