Hybrid Framework of Convolution and Recurrent Neural Networks for Text Classification. - Shengfei Lyu; Jiaqi Liu (ICKG, 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)

Probabilistic Classification Vector Machine for Multi-Class Classification. - Shengfei Lyu; Xing Tian; Yang Li 066; Bingbing Jiang 001; Huanhuan Chen (CoRR, 2020)

Combine Convolution with Recurrent Networks for Text Classification. - Shengfei Lyu; Jiaqi Liu (CoRR, 2020)

Multichannel CNN with Attention for Text Classification. - Zhenyu Liu; Haiwei Huang; Chaohong Lu; Shengfei Lyu (CoRR, 2020)

Text Classification based on Multi-granularity Attention Hybrid Neural Network. - Zhenyu Liu; Chaohong Lu; Haiwei Huang; Shengfei Lyu; Zhenchao Tao (CoRR, 2020)

Multiclass Probabilistic Classification Vector Machine. - Shengfei Lyu; Xing Tian; Yang Li 066; Bingbing Jiang 001; Huanhuan Chen (IEEE Trans. Neural Networks Learn. Syst., 2020)

Relation Classification with Entity Type Restriction. - Shengfei Lyu; Huanhuan Chen (ACL/IJCNLP (Findings), 2021)

Do Models Learn the Directionality of Relations? A New Evaluation Task: Relation Direction Recognition. - Shengfei Lyu; Xingyu Wu; Jinlong Li 001; Qiuju Chen; Huanhuan Chen (CoRR, 2021)

Convolutional Recurrent Neural Networks for Text Classification. - Shengfei Lyu; Jiaqi Liu (J. Database Manag., 2021)

Short isometric shapelet transform for binary time series classification. - Weibo Shu; Yaqiang Yao; Shengfei Lyu; Jinlong Li; Huanhuan Chen (Knowl. Inf. Syst., 2021)

Generalization Bounds for Estimating Causal Effects of Continuous Treatments. - Xin Wang 179; Shengfei Lyu; Xingyu Wu; Tianhao Wu; Huanhuan Chen (NeurIPS, 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)

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)

Auxiliary Learning for Relation Extraction. - Shengfei Lyu; Jin Cheng 007; Xingyu Wu; Lizhen Cui; Huanhuan Chen; Chunyan Miao (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

Do Models Learn the Directionality of Relations? A New Evaluation: Relation Direction Recognition. - Shengfei Lyu; Xingyu Wu; Jinlong Li 001; Qiuju Chen; Huanhuan Chen (IEEE Trans. Emerg. Top. Comput. Intell., 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)

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., 2022)

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 (AIED (Posters/Late Breaking Results/...), 2023)

A Survey on Automatic Delineation of Radiotherapy Target Volume based on Machine Learning. - Zhenchao Tao; Shengfei Lyu (Data Intell., 2023)

Temporal knowledge graph embedding via sparse transfer matrix. - Xin Wang 179; Shengfei Lyu; Xiangyu Wang 016; Xingyu Wu; Huanhuan Chen (Inf. Sci., 2023)

A Dual-module Framework for Counterfactual Estimation over Time. - Xin Wang 179; Shengfei Lyu; Lishan Yang; Yibing Zhan; Huanhuan Chen (ICML, 2024)

Converse Attention Knowledge Transfer for Low-Resource Named Entity Recognition. - Shengfei Lyu; Linghao Sun; Huixiong Yi; Yong Liu 020; Huanhuan Chen; Chunyan Miao (Int. J. Crowd Sci., 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., 2024)

Driver profiling using trajectories on arbitrary roads by clustering roads and drivers successively. - Shengfei Lyu; Di Wang 004; Xuehao Yang; Chunyan Miao (Memetic Comput., 2024)

Generation-Augmented and Embedding Fusion in Document-Level Event Argument Extraction. - Xingjian Lin; Shengfei Lyu; Xin Wang 179; Qiuju Chen; Huanhuan Chen (COLING, 2025)

Report Friendly: An Interface Design for an LLM-Empowered ESG Report Generation System. - Xinjia Yu; Xin Zhou 008; Shengfei Lyu; Xiaoqiao Wang; Huanhuan Chen; Chunyan Miao (HCI (56), 2025)

ESGenius: Benchmarking LLMs on Environmental, Social, and Governance (ESG) and Sustainability Knowledge. - Chaoyue He; Xin Zhou 008; Yi Wu; Xinjia Yu; Yan Zhang; Lei Zhang 199; Di Wang 004; Shengfei Lyu; Hong Xu; Xiaoqiao Wang; Wei Liu; Chunyan Miao (CoRR, 2025)