Welcome! I’m a PhD student in Computer Science at University College London, supervised by Prof. Sebastian Riedel and Dr. Pontus Stenetorp in the UCL NLP Group. Before joining UCL, I received my research-based master degree from the Hong Kong University of Science and Technology, advised by Prof. Qiang Yang.

Research Interest

My research interest lies at the intersection of Natural Language Processing (NLP) and Deep Learning. My current focus lies in Question Answering, Knowledge Base, and some related knowledge-intensive NLP tasks.

Publications (Google Scholar)

Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints Yuxiang Wu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
ACL 2021 paper code

PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them
Patrick Lewis, Yuxiang Wu, Linqing Liu, Pasquale Minervini, Heinrich Küttler, Aleksandra Piktus, Pontus Stenetorp, Sebastian Riedel
Transactions of the Association for Computational Linguistics (TACL) 2021 paper code

Don’t Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering
Yuxiang Wu, Sebastian Riedel, Pasquale Minervini, Pontus Stenetorp
EMNLP 2020 paper slides

How Context Affects Language Models' Factual Predictions
Fabio Petroni, Patrick Lewis, Aleksandra Piktus, Tim Rocktäschel, Yuxiang Wu, Alexander H Miller, Sebastian Riedel
AKBC 2020 (Best Paper Award) paper code

Language models as knowledge bases?
Fabio Petroni, Tim Rocktäschel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, Alexander H Miller, Sebastian Riedel
EMNLP 2019 paper code

Learning to Extract Coherent Summary via Deep Reinforcement Learning
Yuxiang Wu, Baotian Hu
AAAI 2018 paper

End-to-End Adversarial Memory Network for Cross-domain Sentiment Classification
Zheng Li, Yu Zhang, Ying Wei, Yuxiang Wu, Qiang Yang
IJCAI 2017 paper


Allen Institute for AI July-September, 2021

Facebook AI Research February-September, 2019

Tencent, WeChat Group March-November, 2017

Microsoft Research Asia December 2014-July, 2015

University of Hong Kong July-August, 2014


Year Competition Track Rank/Prize
2020 Efficient QA System Under 500Mb 1st
2020 Efficient QA Smallest Systems Achieving 25% Accuracy 1st
2015 Large Scale Visual Recognition Challenge (ImageNet) Video Object Detection 5th
2014 SAT Competition 2014 Sequential Random SAT Track 9th
2013 The Mathematical Contest in Modeling ICM Problem C Meritorious Winner

Teaching Assistant

Year Module Institute
2019 Spring COMP0089 Advanced Reinforcement Learning and Deep Learning UCL
2019 Spring COMP0087 Statistical Natural Language Processing UCL
2019 Fall COMP0137 Machine Vision UCL
2017 Fall MSBD600B Deep Learning HKUST

Academic Services

Program Committee: ACL 2020, EMNLP 2020, Repl4NLP Workshop 2020, SustaiNLP Workshop 2020, EACL 2021, NAACL 2021, ACL 2021, EMNLP 2021, Repl4NLP 2021, MRQA Workshop 2021, CCKS 2021