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Wen Xiao

University of British Columbia

SensatUrban: Learning Semantics from Urban-Scale Photogrammetric Point Clouds



Qingyong Hu , Bo Yang , Sheikh Khalid , Wen Xiao , Niki Trigoni , Andrew Markham

* Accepted by IJCV 2022 

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Human Interpretation and Exploitation of Self-attention Patterns in Transformers: A Case Study in Extractive Summarization



Raymond Li , Wen Xiao , Lanjun Wang , Giuseppe Carenini


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PRIMER: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization



Wen Xiao , Iz Beltagy , Giuseppe Carenini , Arman Cohan


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T3-Vis: a visual analytic framework for Training and fine-Tuning Transformers in NLP



Raymond Li , Wen Xiao , Lanjun Wang , Hyeju Jang , Giuseppe Carenini

* 10 pages, 4 figures, accepted to EMNLP 2021 System Demonstration 

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W-RST: Towards a Weighted RST-style Discourse Framework



Patrick Huber , Wen Xiao , Giuseppe Carenini

* 9 pages, Accepted at ACL 2021 

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Demoting the Lead Bias in News Summarization via Alternating Adversarial Learning



Linzi Xing , Wen Xiao , Giuseppe Carenini

* Accepted at ACL-IJCNLP 2021 main conference (short paper) 

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Predicting Discourse Trees from Transformer-based Neural Summarizers



Wen Xiao , Patrick Huber , Giuseppe Carenini

* 14 pages, accepted by NAACL 2021 

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Do We Really Need That Many Parameters In Transformer For Extractive Summarization? Discourse Can Help !



Wen Xiao , Patrick Huber , Giuseppe Carenini

* In the Proceeding of 1st Workshop on Computational Approaches to Discourse (CODI) at EMNLP 2020. 11 pages 

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Systematically Exploring Redundancy Reduction in Summarizing Long Documents



Wen Xiao , Giuseppe Carenini

* 13 pages. Accepted at AACL 2020 

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Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges



Qingyong Hu , Bo Yang , Sheikh Khalid , Wen Xiao , Niki Trigoni , Andrew Markham

* Project page: https://github.com/QingyongHu/SensatUrban 

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