Lei Sha

Professor, Beihang University
Resume
I'm always looking for highly motivated students to work with me on broad NLP research. Please feel free to reach out and apply!

I am now a professor in the Artificial Intelligence Institute of Beihang University.

Previously, I was a research associate in University of Oxford under the supervision of Prof. Thomas Lukasiewicz.

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

  • Emailshalei[AT]buaa.edu.cn
Group

The Language Computing and Sequential Data Analysis Group (LecSa Group)

Current Students

Hao Wang

LLM safety, LLM control

Master of Beihang

Hao Li

LLM safety

Master of Beihang

Sihan Fan

LLM related research

Master of Beihang

Research Internship

Guanhua Chen

LLM for law

Beihang University (Bachelor)

Duration: Oct 2022 -

Wenxin Wu

ML Research

Beihang University (Bachelor)

Duration: Oct 2022 -

Qianpu Liu

LLM for cfRNA, LLM for theorem proving

Beihang University (Bachelor)

Duration: May 2023 -

Jinbo Su

LLM related research

USTB (Bachelor)

Duration: Oct 2023 -

Wenhan Yu

LLM for law

Beihang University (Bachelor)

Duration: Mar 2024 -

Alumni

Feng Qian

SRL research

Peking University (Bachelor) --> Harvard University (Master)

Duration: Oct 2016 - Feb 2017

Chengyue Gong

ML research

Peking University (Bachelor) --> University of Texas at Austin (PhD)

Duration: Jun 2017 - Aug 2017

Publications
  1. Text Attribute Control via Closed-Loop Disentanglement
    Lei Sha and Thomas Lukasiewicz
    In Transactions of the Association for Computational Linguistics. (TACL). [IF=17.59]
    [PDF]
  2. Rationalizing Predictions by Adversarial Information Calibration
    Lei Sha, Oana-Maria Camburu and Thomas Lukasiewicz
    In Artificial Intelligence. (AI). [IF=14.05]
    [PDF]
  3. 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]
  4. 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]
  5. Multi-type Disentanglement without Adversarial Training
    Lei Sha and Thomas Lukasiewicz
    In Proceedings of AAAI 2021 Conference, 2021. (AAAI 2021).
    [PDF][Arxiv][Code]
  6. Gradient-guided Unsupervised Lexically Constrained Text Generation
    Lei Sha
    In Proceedings of EMNLP 2020 Conference, 2020. (EMNLP 2020).
    [PDF]
  7. 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]
  8. 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]
  9. 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]
  10. 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]
  11. Will Repeated Reading Benefit Natural Language Understanding?
    Lei Sha and Zhifang Sui
    In Proceedings of NLPCC 2017 Conference, 2017. (NLPCC 2017).
    [PDF]
  12. 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]
  13. 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]
  14. 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]
  15. 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]
  16. 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]
  17. 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]
  18. 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]
  19. 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]
  20. 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).
  21. 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]
  22. 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]
  23. 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]
  24. 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]
  25. 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]
  26. 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]
  27. 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).