Lu Wei

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.

Recent Services

• Area co-chairs: ACL 2016 , EMNLP 2019, ACL 2020, IJCAI 2021, NAACL 2021, ACL 2021, EMNLP 2021 (Senior AC), AAAI 2022, ACL 2022 (Senior AC), NAACL 2022 (Senior AC)
• General chair: The 2018 Singapore Symposium on NLP (SSNLP)
• Action Editor: Transactions of the Association for Computational Linguistics (2020-2022)
• Action Editor: Computational Linguistics (2020-2022)
• Action Editor: ACL Rolling Review (2021-)

Selected Recent Publications

• Uncovering Main Causalities for Long-tailed Information Extraction
  Guoshun Nan, Jiaqi Zeng, Rui Qiao, Zhijiang Guo and Wei Lu
  EMNLP’2021: the 2021 Conference on Empirical Methods in Natural Language Processing
• To be Closer: Learning to Link up Aspects with Opinions
  Yuxiang Zhou, Lejian Liao, Yang Gao, Zhanming Jie and Wei Lu
  EMNLP’2021: the 2021 Conference on Empirical Methods in Natural Language Processing
• Exploring Task Difficulty for Few-Shot Relation Extraction
  Jiale Han, Bo Cheng and Wei Lu
  EMNLP’2021: the 2021 Conference on Empirical Methods in Natural Language Processing
• Mixed Cross Entropy Loss for Neural Machine Translation
  Haoran Li and Wei Lu
  ICML’2021: Thirty-eighth International Conference on Machine Learning (long talk: AR: 3%)
• Better Feature Integration for Named Entity Recognition
  Lu Xu, Zhanming Jie, Wei Lu and Lidong Bing
  NAACL’2021: the 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics
• Interventional Video Grounding with Dual Contrastive Learning
  Guoshun Nan, Rui Qiao, Yao Xiao, Jun Liu, Sicong Leng, Hao Zhang, Wei Lu
  CVPR’2021: the IEEE Conference on Computer Vision and Pattern Recognition
• 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.

Group Members

• 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)
• Qi Zhang (PhD student; from: Zhejiang University, China; 1st Prize in National Mathematical Olympiad Competition, China)
• Steven Wang (PhD student; from: Zhejiang University, China)
• Guangtao Zeng (PhD student; from: Sun Yat-Sen University, China)
• Jiale Han (Visiting PhD student; from: Beijing University of Posts and Telecommunications, China)
• Lulu Zhao (Visiting PhD student; from: Beijing University of Posts and Telecommunications, China)
• Xinyu Wang (Visiting PhD student; from: ShanghaiTech University, China)
• Tianduo Wang (Research assistant; from: Singapore University of Technology and Design)
• Vanessa Tan Yun Han (Research assistant; from:Singapore University of Technology and Design)
• Sicong Leng (Research assistant; from: Singapore University of Technology and Design)
• Jiaxi Li (Research assistant; from: Singapore University of Technology and Design)
• Shengqiang Zhang (Research assistant; from: Peking University, China)
• Zhehao Zhang (Visiting fellow; from: Shanghai Jiao Tong University (Zhiyuan College), China)
• Zizhe Jiang (Visiting fellow; from: University of Nottingham, Ningbo, China)
• Peiyuan Zhang (UROP; from: Singapore University of Technology and Design)
• Ziqi Jin (UROP; from: Singapore University of Technology and Design)
• Shuyi Jia (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)

• Christine Liu (Visiting fellow; from: University College London, UK)
• Qingcheng Zeng (Visiting fellow; from: Zhejiang University, China)
• Yuxiang Zhou (Visiting PhD student; to: University of Warwick, UK)
• Jierui Li (Research assistant; to: University of Texas at Austin, USA)
• Jiaqi Zeng (Visiting fellow; to: Carnegie Mellon University, USA)
• Yao Xiao (Visiting fellow; from: Shanghai Jiao Tong University, China)
• 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; to: Columbia University, USA)
• 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

• 2020 Summer: 50.040: Natural Language Processing (Undergraduate)
  Students’ Feedback
• 2019 Fall: 01.112: Machine Learning (Undergraduate)
  Students’ Feedback
• 2019 Summer: 50.040: Natural Language Processing (Undergraduate)
  Students’ Feedback
• 2018 Fall: 50.570/51.504: Machine Learning (Graduate)
• 2018 Fall: 01.112: Machine Learning (Undergraduate)
• 2018 Spring: 01.112: Machine Learning (Undergraduate)
  Students’ Feedback
  
• 2017 Fall: 50.570: Machine Learning (Graduate)
  Students’ Feedback
  
• 2017 Fall: 01.112: Machine Learning (Undergraduate)
  Students’ Feedback
  
• 2016 Fall: 50.007: Machine Learning (Undergraduate)
  Students’ Feedback
• 2016 Spring: 50.570: Machine Learning (Graduate)
  Students’ Feedback
• 2015 Fall: 50.007: Machine Learning (Undergraduate)
  Students’ Feedback
• 2015 Spring: 50.570: Machine Learning (Graduate)
  (no survey)
• 2014 Fall: 50.007: Machine Learning (Undergraduate)
  Students’ Feedback
• 2014 Spring: 50.570: Machine Learning (Graduate)
  Students’ Feedback