Unsupervised Hypergraph Feature Selection with Low-Rank and Self-Representation Constraints. - Wei He 017; Xiaofeng Zhu 001; Yonggang Li; Rongyao Hu; Yonghua Zhu; Shichao Zhang 001 (ADMA, 2016)

Supervised Feature Selection by Robust Sparse Reduced-Rank Regression. - Rongyao Hu; Xiaofeng Zhu 001; Wei He 017; Jilian Zhang; Shichao Zhang 001 (ADMA, 2016)

One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace. - Xiaofeng Zhu 001; Wei He 017; Yonggang Li; Yang Yang 002; Shichao Zhang 001; Rongyao Hu; Yonghua Zhu (AAAI, 2017)

Adaptive Hypergraph Learning for Unsupervised Feature Selection. - Xiaofeng Zhu 001; Yonghua Zhu; Shichao Zhang 001; Rongyao Hu; Wei He 017 (IJCAI, 2017)

A novel low-rank hypergraph feature selection for multi-view classification. - Xiaohui Cheng; Yonghua Zhu; Jingkuan Song; Guoqiu Wen; Wei He 017 (Neurocomputing, 2017)

Feature self-representation based hypergraph unsupervised feature selection via low-rank representation. - Wei He 017; Xiaohui Cheng; Rongyao Hu; Yonghua Zhu; Guoqiu Wen (Neurocomputing, 2017)

Unsupervised feature selection for visual classification via feature-representation property. - Wei He 017; Xiaofeng Zhu 001; Debo Cheng; Rongyao Hu; Shichao Zhang 001 (Neurocomputing, 2017)

Self-representation dimensionality reduction for multi-model classification. - Rongyao Hu; Jie Cao 001; Debo Cheng; Wei He 017; Yonghua Zhu; Qing Xie 002; Guoqiu Wen (Neurocomputing, 2017)

Graph self-representation method for unsupervised feature selection. - Rongyao Hu; Xiaofeng Zhu 001; Debo Cheng; Wei He 017; Yan Yan 002; Jingkuan Song; Shichao Zhang 001 (Neurocomputing, 2017)

Low-rank unsupervised graph feature selection via feature self-representation. - Wei He 017; Xiaofeng Zhu 001; Debo Cheng; Rongyao Hu; Shichao Zhang 001 (Multim. Tools Appl., 2017)

Low-rank feature selection for multi-view regression. - Rongyao Hu; Debo Cheng; Wei He 017; Guoqiu Wen; Yonghua Zhu; Jilian Zhang; Shichao Zhang 001 (Multim. Tools Appl., 2017)

Spectral clustering based on hypergraph and self-re-presentation. - Yonggang Li; Shichao Zhang 001; Debo Cheng; Wei He 017; Guoqiu Wen; Qing Xie 002 (Multim. Tools Appl., 2017)

Double sparse-representation feature selection algorithm for classification. - Yonghua Zhu; Xuejun Zhang; Guoqiu Wen; Wei He 017; Debo Cheng (Multim. Tools Appl., 2017)

One-Step Multi-View Spectral Clustering. - Xiaofeng Zhu 001; Shichao Zhang 001; Wei He 017; Rongyao Hu; Cong Lei; Pengfei Zhu 001 (IEEE Trans. Knowl. Data Eng., 2019)

FLYPE: Multitask Prompt Tuning for Multimodal Human Understanding of Social Media. - Bohua Peng; Chengfu Wu; Wei He 017; William Thorne; Aline Villavicencio; Yujin Wang; Aline Paes (MUWS@CIKM, 2023)

Enhancing Idiomatic Representation in Multiple Languages via an Adaptive Contrastive Triplet Loss. - Wei He 017; Marco Idiart; Carolina Scarton; Aline Villavicencio (ACL (Findings), 2024)

Prototype-aware Feature Selection for Multi-view Action Prediction in Human-Robot Collaboration. - Bohua Peng; Bin Chen; Wei He 017; Visakan Kadirkamanathan (ETFA, 2024)

Efficient Token Sparsification Through the Lens of Infused Knowledge. - Bohua Peng; Bin Chen; Wei He 017; William Thorne; Visakan Kadirkamanathan (FUSION, 2024)

Investigating Idiomaticity in Word Representations. - Wei He 017; Tiago Kramer Vieira; Marcos García 001; Carolina Scarton; Marco Idiart; Aline Villavicencio (CoRR, 2024)

Multi-perspective thought navigation for source-free entity linking. - Bohua Peng; Wei He 017; Bin Chen; Aline Villavicencio; Chengfu Wu (Pattern Recognit. Lett., 2024)

Representation transfer and data cleaning in multi-views for text simplification. - Wei He 017; Katayoun Farrahi; Bin Chen; Bohua Peng; Aline Villavicencio (Pattern Recognit. Lett., 2024)

SemEval-2025 Task 1: AdMIRe - Advancing Multimodal Idiomaticity Representation. - Thomas Pickard; Aline Villavicencio; Maggie Mi; Wei He 017; Dylan Phelps; Carolina Scarton; Marco Idiart (CoRR, 2025)