Wei He

24 papers A* 2C 4Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Parallel Cross-Lingual Benchmark for Multimodal Idiomaticity Understanding.
CoRR
Dilara Torunoglu-Selamet, Dogukan Arslan, Rodrigo Wilkens, Wei He, Gülsen Eryigit, Thomas Pickard, Adriana S. Pagano, Aline Villavicencio, Ágnes Abuczki, Aida Cardoso, Alesia Lazarenka, Dina Almassova, Amalia Mendes, Anna Kanellopoulou, Antoni Brosa-Rodríguez, Baiba Saulite, Beata Wojtowicz, Bolette Pedersen, Carlos Manuel Hidalgo-Ternero, Chaya Liebeskind, Danka Jokic, Diego Alves, Eleni Triantafyllidi, Erik Velldal, Fred Philippy, Giedre Valunaite Oleskeviciene, Ieva Rizgeliene, Inguna Skadina, Irina Lobzhanidze, Isabell Stinessen Haugen, Jauza Akbar Krito, Jelena M. Markovic, Johanna Monti, Josue Alejandro Sauca, Kaja Dobrovoljc, Kingsley O. Ugwuanyi, Laura Rituma, Lilja Øvrelid, Maha Tufail Agro, Manzura Abjalova, Maria Chatzigrigoriou, María Del Mar Sánchez Ramos, Marija Pendevska, Masoumeh Seyyedrezaei, Mehrnoush Shamsfard, Momina Ahsan, Muhammad Ahsan Riaz Khan, Nathalie Carmen Hau Norman, Nilay Erdem Ayyildiz, Nina Hosseini-Kivanani, Noémi Ligeti-Nagy, Numaan Naeem, Olha Kanishcheva, Olha Yatsyshyna, Daniil Orel, Petra Giommarelli, Petya Osenova, Radovan Garabík, Regina E. Semou, Rozane Rebechi, Salsabila Zahirah Pranida, Samia Touileb, Sanni Nimb, Sarfraz Ahmad, Sarvinoz Nematkhonova, Shahar Golan, Shaoxiong Ji, Sopuruchi Christian Aboh, Srdjan Sucur, Stella Markantonatou, Sussi Olsen, Vahide Tajalli, Veronika Lipp, Voula Giouli, Yelda Yesildal Eraydin, Zahra Saaberi, Zhuohan Xie
2025 J jnl
SemEval-2025 Task 1: AdMIRe - Advancing Multimodal Idiomaticity Representation.
CoRR
Thomas Pickard, Aline Villavicencio, Maggie Mi, Wei He, Dylan Phelps, Carolina Scarton, Marco Idiart
2024 C conf
Efficient Token Sparsification Through the Lens of Infused Knowledge.
FUSION
Bohua Peng, Bin Chen, Wei He, William Thorne, Visakan Kadirkamanathan
2024 — conf
Enhancing Idiomatic Representation in Multiple Languages via an Adaptive Contrastive Triplet Loss.
ACL (Findings)
Wei He, Marco Idiart, Carolina Scarton, Aline Villavicencio
2024 J jnl
Enhancing Idiomatic Representation in Multiple Languages via an Adaptive Contrastive Triplet Loss.
CoRR
Wei He, Marco Idiart, Carolina Scarton, Aline Villavicencio
2024 J jnl
Investigating Idiomaticity in Word Representations.
CoRR
Wei He, Tiago Kramer Vieira, Marcos García, Carolina Scarton, Marco Idiart, Aline Villavicencio
2024 J jnl
Multi-perspective thought navigation for source-free entity linking.
Pattern Recognit. Lett.
Bohua Peng, Wei He, Bin Chen, Aline Villavicencio, Chengfu Wu
2024 C conf
Prototype-aware Feature Selection for Multi-view Action Prediction in Human-Robot Collaboration.
ETFA
Bohua Peng, Bin Chen, Wei He, Visakan Kadirkamanathan
2024 J jnl
Representation transfer and data cleaning in multi-views for text simplification.
Pattern Recognit. Lett.
Wei He, Katayoun Farrahi, Bin Chen, Bohua Peng, Aline Villavicencio
2023 — conf
FLYPE: Multitask Prompt Tuning for Multimodal Human Understanding of Social Media.
MUWS@CIKM
Bohua Peng, Chengfu Wu, Wei He, William Thorne, Aline Villavicencio, Yujin Wang, Aline Paes
2019 J jnl
One-Step Multi-View Spectral Clustering.
IEEE Trans. Knowl. Data Eng.
Xiaofeng Zhu, Shichao Zhang, Wei He, Rongyao Hu, Cong Lei, Pengfei Zhu
2017 J jnl
A novel low-rank hypergraph feature selection for multi-view classification.
Neurocomputing
Xiaohui Cheng, Yonghua Zhu, Jingkuan Song, Guoqiu Wen, Wei He
2017 A* conf
Adaptive Hypergraph Learning for Unsupervised Feature Selection.
IJCAI
Xiaofeng Zhu, Yonghua Zhu, Shichao Zhang, Rongyao Hu, Wei He
2017 J jnl
Double sparse-representation feature selection algorithm for classification.
Multim. Tools Appl.
Yonghua Zhu, Xuejun Zhang, Guoqiu Wen, Wei He, Debo Cheng
2017 J jnl
Feature self-representation based hypergraph unsupervised feature selection via low-rank representation.
Neurocomputing
Wei He, Xiaohui Cheng, Rongyao Hu, Yonghua Zhu, Guoqiu Wen
2017 J jnl
Graph self-representation method for unsupervised feature selection.
Neurocomputing
Rongyao Hu, Xiaofeng Zhu, Debo Cheng, Wei He, Yan Yan, Jingkuan Song, Shichao Zhang
2017 J jnl
Low-rank feature selection for multi-view regression.
Multim. Tools Appl.
Rongyao Hu, Debo Cheng, Wei He, Guoqiu Wen, Yonghua Zhu, Jilian Zhang, Shichao Zhang
2017 J jnl
Low-rank unsupervised graph feature selection via feature self-representation.
Multim. Tools Appl.
Wei He, Xiaofeng Zhu, Debo Cheng, Rongyao Hu, Shichao Zhang
2017 A* conf
One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace.
AAAI
Xiaofeng Zhu, Wei He, Yonggang Li, Yang Yang, Shichao Zhang, Rongyao Hu, Yonghua Zhu
2017 J jnl
Self-representation dimensionality reduction for multi-model classification.
Neurocomputing
Rongyao Hu, Jie Cao, Debo Cheng, Wei He, Yonghua Zhu, Qing Xie, Guoqiu Wen
2017 J jnl
Spectral clustering based on hypergraph and self-re-presentation.
Multim. Tools Appl.
Yonggang Li, Shichao Zhang, Debo Cheng, Wei He, Guoqiu Wen, Qing Xie
2017 J jnl
Unsupervised feature selection for visual classification via feature-representation property.
Neurocomputing
Wei He, Xiaofeng Zhu, Debo Cheng, Rongyao Hu, Shichao Zhang
2016 C conf
Supervised Feature Selection by Robust Sparse Reduced-Rank Regression.
ADMA
Rongyao Hu, Xiaofeng Zhu, Wei He, Jilian Zhang, Shichao Zhang
2016 C conf
Unsupervised Hypergraph Feature Selection with Low-Rank and Self-Representation Constraints.
ADMA
Wei He, Xiaofeng Zhu, Yonggang Li, Rongyao Hu, Yonghua Zhu, Shichao Zhang