Wei He

According to our database, Wei He authored at least 22 papers between 2016 and 2025.

Collaborative distances:

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

2025

SemEval-2025 Task 1: AdMIRe - Advancing Multimodal Idiomaticity Representation.

Thomas Pickard, Aline Villavicencio, Maggie Mi, Wei He, Dylan Phelps, Carolina Scarton, Marco Idiart

CoRR, March, 2025

2024

Representation transfer and data cleaning in multi-views for text simplification.

Wei He, Katayoun Farrahi, Bin Chen, Bohua Peng, Aline Villavicencio

Pattern Recognit. Lett., January, 2024

Multi-perspective thought navigation for source-free entity linking.

Bohua Peng, Wei He, Bin Chen, Aline Villavicencio, Chengfu Wu

Pattern Recognit. Lett., 2024

Investigating Idiomaticity in Word Representations.

Wei He, Tiago Kramer Vieira, Marcos García, Carolina Scarton, Marco Idiart, Aline Villavicencio

CoRR, 2024

Efficient Token Sparsification Through the Lens of Infused Knowledge.

Bohua Peng, Bin Chen, Wei He, William Thorne, Visakan Kadirkamanathan

Proceedings of the 27th International Conference on Information Fusion, 2024

Prototype-aware Feature Selection for Multi-view Action Prediction in Human-Robot Collaboration.

Bohua Peng, Bin Chen, Wei He, Visakan Kadirkamanathan

Proceedings of the 29th IEEE International Conference on Emerging Technologies and Factory Automation, 2024

Enhancing Idiomatic Representation in Multiple Languages via an Adaptive Contrastive Triplet Loss.

Wei He, Marco Idiart, Carolina Scarton, Aline Villavicencio

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

FLYPE: Multitask Prompt Tuning for Multimodal Human Understanding of Social Media.

Bohua Peng, Chengfu Wu, Wei He, William Thorne, Aline Villavicencio, Yujin Wang, Aline Paes

Proceedings of the 2nd International Workshop on Multimodal Human Understanding for the Web and Social Media co-located with the 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), 2023

2019

One-Step Multi-View Spectral Clustering.

Xiaofeng Zhu, Shichao Zhang, Wei He, Rongyao Hu, Cong Lei, Pengfei Zhu

IEEE Trans. Knowl. Data Eng., 2019

2017

Double sparse-representation feature selection algorithm for classification.

Yonghua Zhu, Xuejun Zhang, Guoqiu Wen, Wei He, Debo Cheng

Multim. Tools Appl., 2017

Spectral clustering based on hypergraph and self-re-presentation.

Yonggang Li, Shichao Zhang, Debo Cheng, Wei He, Guoqiu Wen, Qing Xie

Multim. Tools Appl., 2017

Low-rank feature selection for multi-view regression.

Rongyao Hu, Debo Cheng, Wei He, Guoqiu Wen, Yonghua Zhu, Jilian Zhang, Shichao Zhang

Multim. Tools Appl., 2017

Low-rank unsupervised graph feature selection via feature self-representation.

Wei He, Xiaofeng Zhu, Debo Cheng, Rongyao Hu, Shichao Zhang

Multim. Tools Appl., 2017

Graph self-representation method for unsupervised feature selection.

Rongyao Hu, Xiaofeng Zhu, Debo Cheng, Wei He, Yan Yan, Jingkuan Song, Shichao Zhang

Neurocomputing, 2017

Self-representation dimensionality reduction for multi-model classification.

Rongyao Hu, Jie Cao, Debo Cheng, Wei He, Yonghua Zhu, Qing Xie, Guoqiu Wen

Neurocomputing, 2017

Unsupervised feature selection for visual classification via feature-representation property.

Wei He, Xiaofeng Zhu, Debo Cheng, Rongyao Hu, Shichao Zhang

Neurocomputing, 2017

Feature self-representation based hypergraph unsupervised feature selection via low-rank representation.

Wei He, Xiaohui Cheng, Rongyao Hu, Yonghua Zhu, Guoqiu Wen

Neurocomputing, 2017

A novel low-rank hypergraph feature selection for multi-view classification.

Xiaohui Cheng, Yonghua Zhu, Jingkuan Song, Guoqiu Wen, Wei He

Neurocomputing, 2017

Adaptive Hypergraph Learning for Unsupervised Feature Selection.

Xiaofeng Zhu, Yonghua Zhu, Shichao Zhang, Rongyao Hu, Wei He

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace.

Xiaofeng Zhu, Wei He, Yonggang Li, Yang Yang, Shichao Zhang, Rongyao Hu, Yonghua Zhu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Supervised Feature Selection by Robust Sparse Reduced-Rank Regression.

Rongyao Hu, Xiaofeng Zhu, Wei He, Jilian Zhang, Shichao Zhang

Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

Unsupervised Hypergraph Feature Selection with Low-Rank and Self-Representation Constraints.

Wei He, Xiaofeng Zhu, Yonggang Li, Rongyao Hu, Yonghua Zhu, Shichao Zhang

Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016