Lu Wei

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Associate Professor & Associate Head of Pillar (Research)

Email: 
Website: http://statnlp.org/
Telephone: +65 6499 4784
Office #: 1.302-10
Pillar / Cluster: Design and Artificial Intelligence, Information Systems Technology and Design
Research Areas:: Artificial and Augmented Intelligence, Data Science

Biography

I am interested in designing mathematical models and machine learning algorithms for solving fundamental data processing problems, with a specific focus on natural language processing (NLP). I am particularly interested in fundamental problems related to structured prediction. Prior to joining SUTD, I worked as a postdoctoral research associate at the University of Illinois at Urbana-Champaign, and was a PhD student at the Singapore-MIT Alliance of the National University of Singapore. Even earlier, I received my undergraduate degree (1st class honours) from School of Computing, National University of Singapore.

Highlights

Selected Recent Publications

  • Understanding Attention for Text Classification
    Xiaobing Sun and Wei Lu
    ACL’2020: the 57th annual meeting of the Association for Computational Linguistics
  • Reasoning with Latent Structure Refinement for Document-Level Relation Extraction
    Guoshun Nan, Zhijiang Guo, Ivan Sekulić and Wei Lu
    ACL’2020: the 57th annual meeting of the Association for Computational Linguistics
  • Two are Better Than One: Joint Entity and Relation Extraction with Table-Sequence Encoders
    Jue Wang and Wei Lu
    EMNLP’2020: the 2020 Conference on Empirical Methods in Natural Language Processing
  • Pre-training for Abstractive Document Summarization by Reinstating Source Text
    Yanyan Zou, Xingxing Zhang, Wei Lu, Furu Wei and Ming Zhou
    EMNLP’2020: the 2020 Conference on Empirical Methods in Natural Language Processing
  • Position-Aware Tagging for Aspect Sentiment Triplet Extraction
    Lu Xu, Hao Li, Wei Lu and Lidong Bing
    EMNLP’2020: the 2020 Conference on Empirical Methods in Natural Language Processing
  • Aspect Based Sentiment Analysis with Aspect-Specific Opinion Spans
    Lu Xu, Lidong Bing, Wei Lu and Fei Huang
    EMNLP’2020: the 2020 Conference on Empirical Methods in Natural Language Processing
  • Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation
    Yan Zhang, Zhijiang Guo, Zhiyang Teng, Wei Lu, Shay B. Cohen, Zuozhu Liu, Lidong Bing
    EMNLP’2020: the 2020 Conference on Empirical Methods in Natural Language Processing
  • Knowledge Graph Empowered Entity Description Generation
    Liying Cheng, Dekun Wu, Lidong Bing, Yan Zhang, Zhanming Jie, Wei Lu and Luo Si
    EMNLP’2020: the 2020 Conference on Empirical Methods in Natural Language Processing
  • Re-examining the Role of Schema Linking in Text-to-SQL
    Wenqiang Lei, Weixin Wang, Zhixin Ma, Tian Gan, Wei Lu, Min-Yen Kan and Tat-Seng Chua
    EMNLP’2020: the 2020 Conference on Empirical Methods in Natural Language Processing
  • Argument Pair Extraction from Peer Review and Rebuttal via Multi-task Learning
    Liying Cheng, Lidong Bing, Qian Yu, Wei Lu and Luo Si
    EMNLP’2020: the 2020 Conference on Empirical Methods in Natural Language Processing
  • Attention-based Context Aware Reasoning for Situation Recognition
    Thilini Cooray, Ngai-Man Cheung and Wei Lu
    CVPR’2020: the IEEE Conference on Computer Vision and Pattern Recognition
  • Learning Latent Forests for Medical Relation Extraction
    Zhijiang Guo, Guoshun Nan, Wei Lu and Shay B. Cohen
    IJCAI’2020: the International Joint Conference on Artificial Intelligence.
  • Knowing What, How and Why: a Near Complete Solution for Aspect-based Sentiment Analysis
    Haiyun Peng, Lu Xu, Lidong Bing, Fei Huang, Wei Lu, and Luo Si
    AAAI’2020: the 34th AAAI Conference on Artificial Intelligence.
  • Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning
    Zhijiang Guo, Yan Zhang, Zhiyang Teng and Wei Lu
    TACL: Transactions of the Association for Computational Linguistics
  • Attention Guided Graph Convolutional Networks for Relation Extraction
    Zhijiang Guo, Yan Zhang and Wei Lu
    ACL’2019: the 56th annual meeting of the Association for Computational Linguistics
  • A Neural Multi-digraph Model for Chinese NER with Gazetteers
    Ruixue Ding, Pengjun Xie, Xiaoyan Zhang, Wei Lu, Linlin Li and Luo Si
    ACL’2019: the 56th annual meeting of the Association for Computational Linguistics
  • Twitter Homophily: Network Based Prediction of User’s Occupation
    Jiaqi Pan, Rishabh Bhardwaj, Wei Lu, Hai Leong Chieu, Xinghao Pan and Ni Yi Puay
    ACL’2019: the 56th annual meeting of the Association for Computational Linguistics
  • Quantity Tagger: A Latent-Variable Sequence Labeling Approach to Solving Addition-Subtraction Word Problems
    Yanyan Zou and Wei Lu
    ACL’2019: the 56th annual meeting of the Association for Computational Linguistics
  • Learning Explicit and Implicit Structures for Targeted Sentiment Analysis
    Hao Li and Wei Lu
    EMNLP’2019: the 2019 Conference on Empirical Methods in Natural Language Processing
  • Text2Math: End-to-end Parsing Text into Math Expressions
    Yanyan Zou and Wei Lu
    EMNLP’2019: the 2019 Conference on Empirical Methods in Natural Language Processing
  • Dependency-Guided LSTM-CRF for Named Entity Recognition
    Zhanming Jie and Wei Lu
    EMNLP’2019: the 2019 Conference on Empirical Methods in Natural Language Processing
  • Combining Spans into Entities: A Neural Two-Stage Approach for Recognizing Discontiguous Entities
    Bailin Wang and Wei Lu
    EMNLP’2019: the 2019 Conference on Empirical Methods in Natural Language Processing
  • Aligning Cross-lingual Entities with Multi-Aspect Information
    Hsiu-Wei Yang, Yanyan Zou, Peng Shi, Wei Lu, Jimmy Lin and Xu Sun
    EMNLP’2019: the 2019 Conference on Empirical Methods in Natural Language Processing
  • Neural Chinese Address Parsing
    Hao Li, Wei Lu, Pengjun Xie and Linlin Li
    NAACL’2019: the 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics
  • Joint Detection and Location of English Puns
    Yanyan Zou and Wei Lu
    NAACL’2019: the 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics
  • Better Modeling of Incomplete Annotations for Named Entity Recognition
    Zhanming Jie, Pengjun Xie, Wei Lu, Ruixue Ding and Linlin Li
    NAACL’2019: the 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics

Group Members

  • Thilini Cooray (PhD student; co-supervised with Ngai-Man Cheung)
  • Liying Cheng (PhD student; from: Singapore University of Technology and Design)
  • Richard Sun (PhD student; from: National University of Defense Science and Technology, China)
  • Lu Xu (PhD student; from: Massachusetts Institute of Technology)
  • Haoran Li (PhD student; from: University of Electronic Science and Technology of China)
  • Joel Ong (PhD student; from: Singapore University of Technology and Design)
  • Perry Lam (PhD student; from: Singapore University of Technology and Design)
  • Qi Zhang (PhD student; from: Zhejiang University, China; 1st Prize in National Mathematical Olympiad Competition, China)
  • Yuxiang Zhou (Visiting PhD student; from: Beijing Institute of Technology, China)
  • Jiale Han (Visiting PhD student; from: Beijing University of Posts and Telecommunications, China)
  • Guoshun Nan (Postdoc research fellow; from: Beijing University of Posts and Telecommunications, China)
  • Tianduo Wang (Research assistant; from: Singapore University of Technology and Design)
  • Jierui Li (Research assistant; from: University of Electronic Science and Technology of China)
  • Sicong Leng (Research assistant; from: Singapore University of Technology and Design)
  • Steven Wang (Visiting fellow; from: Zhejiang University, China)
  • Guangtao Zeng (Visiting fellow; from: Sun Yat-Sen University, China)
  • Christine Liu (Visiting fellow; from: University College London, UK)
  • Qingcheng Zeng (Visiting fellow; from: Zhejiang University, China)
  • Zhehao Zhang (Visiting fellow; from: Shanghai Jiao Tong University (Zhiyuan College), China)
  • Zizhe Jiang (Visiting fellow; from: University of Nottingham, Ningbo, China)
  • Jiaxi Li (UROP; from: Singapore University of Technology and Design)
  • Peiyuan Zhang (UROP; from: Singapore University of Technology and Design)
  • Ziqi Jin (UROP; from: Singapore University of Technology and Design)

Group Alumni (PhD Students)

  • Zhijiang Guo
    To: University of Cambridge
    Internship: University of Edinburgh
  • Yanyan Zou
    To: Tencent AI Lab
    Internship: Microsoft Research Asia
  • Hao Li
    To: ByteDance AI Singapore
    Internship: Alibaba DAMO
  • Allan Jie
    To: ByteDance AI Singapore
    Internship: Allen Institute for Artificial Intelligence
    ISTD Best PhD Thesis Award

Group Alumni (Others)

  • Jiaqi Zeng (Visiting fellow; from: Shanghai Jiao Tong University, China)
  • Yao Xiao (Visiting fellow; from: Shanghai Jiao Tong University, China)
  • Guoqing Luo (Visiting fellow; to: University of Alberta, Canada)
  • Xiaobao Wu (Visiting fellow; from: Tsinghua University, China)
  • Ankit Garg (Visiting fellow; from: Indian Institute of Technology, Delhi, India)
  • Rui Qiao (Research assistant; to: National University of Singapore)
  • Jue Wang (Visiting fellow; from: Zhejiang University, China)
  • Xingce Bao (Visiting fellow; from: École Polytechnique Fédérale de Lausanne, Switzerland)
  • Ivan Sekulić (Visiting fellow; from: Heidelberg Institute for Theoretical Studies, Germany)
  • Jack Wu (Visiting fellow; from: York University, Canada)
  • Jieyu Chen (Visiting fellow; to: Cornell University, USA)
  • Boyuan Zhuang (Research assistant; from: University of Science and Technology of China)
  • Jing Liao (Visiting student; from: Zhejiang University, China)
  • Ke Shi (Research assistant; to: A*STAR AI, Singapore)
  • Jiaqi Pan (Visiting fellow; to: Carnegie Mellon University, USA)
  • Rishabh Bhardwaj (Visiting student; to: National University of Singapore)
  • Leiming Du (Research assistant; to: Huawei, China)
  • Yu Jian Wu (Visiting student; to: Columbia University, USA)
  • Anh Nguyen Tuan (Visiting fellow; from: Vietnam National University)
  • Peter Phandi (Research assistant; from: National University of Singapore)
  • Utkarsh Sinha (Visiting fellow; from: Indian Institute of Technology, Kharagpur, India)
  • Yiran Wang (Research officer; to: Columbia University, USA)
  • Amila Silva (Research assistant; to: Singapore Management University)
  • Hans Du (Visiting student; from: Academia Sinica, Taiwan)
  • Bill Lin (Visiting student; to: University of Southern California, USA)
  • Yinan Shao (Visiting student; from: Harbin Institute of Technology, China)
  • Bailin Wang (Visiting student; to: University of Edinburgh, UK)
  • Rachael Boyle (Visiting student; from: University of California, Berkeley, USA)
  • Yaqi Xie (UROP; to: National University of Singapore)
  • Siyuan Wang (UROP; to: Carnegie Mellon University, USA)
  • Aldrian Obaja Muis (Research assistant; to: Carnegie Mellon University, USA)
  • Raymond Hendy Susanto (Research assistant; from: National University of Singapore)
  • Swee Kiat Lim (Reserach officer; from: National University of Singapore)
  • Wei Yang (Visiting student; to: University of Waterloo, Canada)
  • Hesam Amoualian (Visiting student; from: University of Grenoble Alpes, France)
  • Shaosheng Cao (Research assistant; to: AI Department, Ant Financial Services Group/Alipay, China)
  • Liling Tan (Research assistant; from: Saarland University, Germany)
  • Moein Khajehnejad (Research officer; from: Sharif University of Technology, Iran)
  • Jonathan Löfgren (Research officer; from: Uppsala University, Sweden)
  • Bojia Qiu (Visiting student; from: Zhejiang University (Chu Kochen Honors College))
  • Wenqiang Xu (Research officer; from: University of Science and Technology of China (Special Class for the Gifted Young))
  • Tu Thanh Vu (Research officer; to: University of Massachusetts Amherst, USA)
  • Si Kai Lee (Research officer; to: Columbia University, USA)
  • Sadegh Charmchi (Research officer; to: University of Alberta, Canada)
  • Ruidan He (UROP; to: National University of Singapore)
  • Cuong Xuan Chu (Research officer; to: Max Planck Institute, Germany)
  • Lifei Chen (Research officer; to: École Polytechnique Fédérale de Lausanne, Switzerland)
  • Sean Matthew English (Research officer; to: Fraunhofer-Gesellschaft Institute, Germany)

Recent Research Grants

  • Principal Investigator, Alibaba Innovative Research Program (2018-2019), US$100K
  • Principal Investigator, MOE Tier 2 Grant (2018-2021). S$540K
  • Principal Investigator, DSO Collaboration Grant (2017-2019). S$500K
  • Principal Investigator, Defence Innovative Research Programme Project (TBA). S$890K
  • Principal Investigator, MINDEF Grant – CISDeM T3 (2014-2018). S$610K

Awards

  • Best Paper Award, the 2011 Conference on Empirical Methods in Natural Language Processing (EMNLP’11), 2011
  • Dean’s Graduate Research Excellence Award, School of Computing, National University of Singapore, 2009-2010
  • Research Achievement Award, School of Computing, National University of Singapore, 2008-2009
  • President’s Fellowship, National University of Singapore, 2006-2007
  • Singapore-MIT Alliance Scholarship, 2005-2006, 2006-2009
  • Dean’s List, School of Computing, National University of Singapore, 2001-2005
  • Singapore MOE Undergraduate Scholarship, 2000-2005
  • 1st Prize (Full credits: 140/140), National Mathematical Olympiad Competition, China, 1996
  • 1st Prize, National Mathematical Olympiad Competition, China, 1995

Teaching

Open Positions

I am looking for strong candidates for the following positions: Postdoctoral researchers, Research assistants, Visiting students, UG researchers, Programmers and PhD students. Drop me an email if you are interested.

Curriculum Vitae

My current CV (updated Mar 2021)

Research Statement

My Research Statement

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