Lei Sha

Research Associate, University of Oxford
Resume

I am currently a research associate in University of Oxford. My advisor is Thomas Lukasiewicz.

I obtained my Ph.D. degree in 2018. During my Ph.D. period, I was co-advised by Zhifang Sui, Baobao Chang and Sujian Li.

  • Emaillei.sha[AT]cs.ox.ac.uk
Experience

JOBS

Research AssociateMar 2020 - present

University of Oxford

The Intelligent Systems Lab.

NLP Research ScientistAug 2018 - Mar 2020

Siri NL | Apple Inc.

Siri NL team.

INTERNSHIPS

Research & Engineering InternJul 2017 - Feb 2018

Microsoft Research Asia

System Group, advised by Lintao Zhang.

Research & Engineering InternFeb 2017 - May 2017

Sinovation Ventures

Artificial Intelligence Group, advised by Kaifu Lee.

Research InternNov 2014 - Jun 2015

Microsoft Research Asia

Knowledge Computing Group, advised by Chin-Yew Lin.

EDUCATION

Ph.D in Institute of Computational Linguistics2013 - 2018

Peking University

Advised by Zhifang Sui.

AWARDS & HONORS

Outstanding Reviewer, EMNLP 20202020

Excellent Graduate2018

Award for Scientific Research2017

Lee-Wai Wing Scholarship2017

Exceptional Award for Academic Innovation 2016

May 4th Scholarship 2016

Merit Student 2016

“Stars of Tomorrow” in MSRA 2015

Peking University PhD Fellowship2015

The 3rd Prize in the ACM contest of Peking University2014

Outstanding Graduate2013

The first Prize in the 3rd "Lanqiao Cup" National Software Professional Design and Business Competition2012

Beichuan Scholarship (one out of two in my grade)2011

National Scholarship(The only one in my grade)2011

The National 2nd Prize in the China Undergraduate Mathematical Contest in Modeling2011

The 2nd prize in Chinese Mathematical Contest (Beijing division)2010

Activities

SERVICES

Reviewer2017

ACL 2017, IJCNLP 2017

Reviewer2018

ACL 2018, Coling 2018, EMNLP 2018, TASLP

Reviewer2019

ACL 2019, TASLP, EMNLP 2019

Reviewer2020

AAAI 2020, ACL 2020, TASLP, EMNLP 2020, IJCNLP 2020

Program Committee & Senior Program Committee2021

AAAI 2021, EACL 2021, IJCAI 2021 (SPC)

Intern Students

Jiandong Jin, Master, Peking UniversityMarch 2019 - June 2019

Co-Supervised Students

Feng Qian, undergraduate (with publication in EMNLP'2017)Oct 2016 - Feb 2017

Chengyue Gong, undergraduateJun 2017 - Aug 2017

Teaching Assistant

TA of Introduction to Computer ScienceSeq 2015 - Feb 2016

TA of JAVA ProgrammingFeb 2015 - Jun 2015

TA of C/C++ Programming and AlgorithmSeq 2014 - Feb 2015

TA of Introduction to Computer ScienceSeq 2014 - Feb 2015

TA of Introduction to Computer ScienceSeq 2013 - Feb 2014

Publications
  1. Controlling Text Edition by Changing Answers of Specific Questions
    Lei Sha, Patrick Hohenecker and Thomas Lukasiewicz
    In Finding of ACL 2021 Conference, 2021. (ACL 2021 (Finding)).
    [PDF][Arxiv][Data & Code]
  2. Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration
    Lei Sha, Oana-Maria Camburu and Thomas Lukasiewicz
    In Proceedings of AAAI 2021 Conference, 2021. (AAAI 2021).
    [PDF][Arxiv][Code][BeerAdvocate]
  3. Multi-type Disentanglement without Adversarial Training
    Lei Sha and Thomas Lukasiewicz
    In Proceedings of AAAI 2021 Conference, 2021. (AAAI 2021).
    [PDF][Arxiv][Code]
  4. Gradient-guided Unsupervised Lexically Constrained Text Generation
    Lei Sha
    In Proceedings of EMNLP 2020 Conference, 2020. (EMNLP 2020).
    [PDF]
  5. Estimating Minimum Operation Steps via Memory-based Recurrent Calculation Network
    Lei Sha, Chen Shi, Qi Chen, Lintao Zhang, and Houfeng Wang
    In 2020 international joint conference on neural networks. (IJCNN 2020).
    [PDF][Code]
  6. Order-Planning Neural Text Generation from Structured Data
    Lei Sha, Lili Mou, Tianyu Liu, Pascal Poupart, Sujian Li, Baobao Chang and Zhifang Sui
    In Proceedings of AAAI 2018 Conference, 2018. (AAAI 2018).
    [PDF][Arxiv]
  7. A Multi-View Fusion Neural Network for Answer Selection
    Lei Sha, Xiaodong Zhang, Feng Qian, Baobao Chang and Zhifang Sui
    In Proceedings of AAAI 2018 Conference, 2018. (AAAI 2018).
    [PDF]
  8. Jointly Extracting Event Triggers and Arguments by Dependency-Bridge RNN and Tensor-Based Argument Interaction
    Lei Sha, Feng Qian, Baobao Chang and Zhifang Sui
    In Proceedings of AAAI 2018 Conference, 2018. (AAAI 2018).
    [AAAIPDF] [PDF]
  9. Will Repeated Reading Benefit Natural Language Understanding?
    Lei Sha and Zhifang Sui
    In Proceedings of NLPCC 2017 Conference, 2017. (NLPCC 2017).
    [PDF]
  10. Reading and Thinking: Re-read LSTM Unit for Textual Entailment Recognition
    Lei Sha, Baobao Chang, Zhifang Sui and Sujian Li
    In Proceedings of Coling 2016 Conference, 2016. (Coling 2016).
    [PDF]
  11. Capturing Argument Relationship for Chinese Semantic Role Labeling
    Lei Sha, Tingsong Jiang, Sujian Li, Baobao Chang and Zhifang Sui
    In Proceedings of EMNLP 2016 Conference, 2016. (EMNLP 2016).
    [PDF]
  12. RBPB: Regularization-Based Pattern Balancing Method for Event Extraction
    Lei Sha, Jing Liu, Chin-Yew Lin, Sujian Li, Baobao Chang and Zhifang Sui
    In Proceedings of ACL 2016 Conference, 2016. (ACL 2016).
    [PDF]
  13. Joint Learning Templates and Slots for Event Schema Induction
    Lei Sha, Sujian Li, Baobao Chang and Zhifang Sui.
    In Proceedings of NAACL 2016 Conference, 2016. (NAACL 2016).
    [arxiv(including supplement material)][PDF]
  14. Recognizing Textual Entailment Using Probabilistic Inference
    Lei Sha, Sujian Li, Tingsong Jiang, Baobao Chang, and Zhifang Sui.
    In Proceedings of the EMNLP 2015 Conference, 2015. (EMNLP 2015).
    [PDF]
  15. Associative Memory via Predictive Coding
    Tommaso Salvatori, Yuhang Song, Yujian Hong, Simon Frieder, Lei Sha, Zhenghua Xu, Rafal Bogacz, and Thomas Lukasiewicz
    In Proceedings of NeurIPS 2021 Conference, 2021. (NeurIPS 2021).
    [PDF] [Arxiv]
  16. Auto-Dialabel: Labeling Dialogue Data with Unsupervised Learning
    Chen Shi, Qi Chen, Lei Sha, Sujian Li, Xu Sun, Houfeng WANG and Lintao Zhang
    In Proceedings of EMNLP 2018 Conference, 2018. (EMNLP 2018).
    [PDF]
  17. Table-to-text Generation by Structure-aware Seq2seq learning
    Tianyu Liu, Kexiang Wang, Lei Sha, Zhifang Sui, Baobao Chang
    In Proceedings of AAAI 2018 Conference, 2018. (AAAI 2018).
    [PDF]
  18. Topic Medical Concept Embedding: Multi-Sense Representation Learning For Medical Concept
    Feng Qian, Chengyue Gong, Luchen Liu, Lei Sha, Ming Zhang
    In Proceedings of BIBM 2017 conference, 2017. (BIBM 2017).
  19. Syntax Aware LSTM Model for Chinese Semantic Role Labeling
    Feng Qian, Lei Sha, Baobao Chang, Lu-chen Liu, Ming Zhang
    In Proceedings of EMNLP 2017 Workshop, 2017. (EMNLP 2017 (workshop)). [PDF]
  20. A Progressive Learning Approach to Chinese SRL Using Heterogeneous Data
    Qiaolin Xia, Lei Sha, Baobao Chang, Zhifang Sui
    In Proceedings of ACL 2017 Conference, 2017. (ACL 2017). [PDF]
  21. Attentive Interactive Neural Networks for Answer Selection in Community Question Answering
    Xiaodong Zhang, Lei Sha, Sujian Li, Houfeng Wang
    In Proceedings of AAAI 2017 Conference, 2017. (AAAI 2017). [PDF]
  22. Encoding Temporal Information for Time-Aware Link Prediction
    Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Sujian Li, Baobao Chang and Zhifang Sui.
    In Proceedings of EMNLP 2016 Conference, 2016. (EMNLP 2016). [PDF]
  23. Towards Time-Aware Knowledge Graph Completion
    Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Sujian Li, Baobao Chang and Zhifang Sui
    In Proceedings of Coling 2016 Conference, 2016. (Coling 2016). [PDF]
  24. Multi-label Text Categorization with Joint Learning Predictions-as-Features Method
    Li Li, Houfeng Wang, Lei Sha, Xu Sun, Baobao Chang, Shi Zhao.
    In Proceedings of EMNLP 2015 Conference, 2015. (EMNLP 2015). [PDF]
  25. Event Schema Induction Based on Relational Co-occurrence over Multiple Documents
    Tingsong Jiang, Lei Sha and Zhifang Sui
    In Proceedings of Natural Language Processing and Chinese Computing, 2014. (NLPCC 2014).