Lei Sha
Professor, Beihang University
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.
I'm also the head of OxTium AI Research, where we work on cutting-edge research and engineering projects in LLM-for-LifeScience. If you are interested in the positions of Engineer or Researcher (Internship & Full-time Opportunities), please don't hesitate to drop me an email.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.
- Email: shalei[AT]buaa.edu.cn
Group
The Language Computing and Sequential Data Analysis Group (LecSa Group)
Current Students
Hao Wang
LLM safety, LLM control
Beihang
PhD student
Hao Li
LLM safety
Beihang
Master
Sihan Fan
LLM related research
Beihang
Master
Zengqi Xiu
LLM safety
Beihang (Cosupervised with Prof. Shaoting Tang), ZGC Lab
PhD student
Jian Liu
LLM hallucination mitigation
Beihang
PhD student
Xiuping Liang
TBD
Beihang, Co-supervised with Prof. Yier Jin
PhD student
Yunhao Mei
TBD
Beihang
PhD student
Guanhua Chen
LLM for law
Beihang University
PhD student
Pengsheng Chen
LLM Math reasoning
Beihang ECPKN
Master
Research Internship
Qianpu Liu
LLM for cfRNA, LLM for theorem proving
Beihang University (Bachelor)
Duration: May 2023 -
Wenhan Yu
LLM for law
Beihang University (Bachelor)
Duration: Mar 2024 -
Yuhe Liu
LLM for cfDNA
Beihang University (Bachelor)
Duration: May 2024 -
Jiali Xu
LLM related topics
Beihang University (Bachelor)
Duration: Jun 2024 -
Chen Wang
LLM for Science
Beihang University (Bachelor)
Duration: Sep 2024 -
Dayou Zhou
LLM for 3D generation
Beihang University (Bachelor)
Duration: Nov 2024 -
Tsan Ouyang
LLM related research
Beihang University (Bachelor)
Duration: Feb 2025 -
Dongze Wu
LLM related research
Beihang University (Bachelor)
Duration: Mar 2025 -
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
Wenxin Wu
ML research
Beihang University (Bachelor) --> Beihang University (PhD, advised by Prof. Qing Gao)
Duration: Oct 2022 - Aug 2024
Publications
(#) for corresponding author
-
Be a Multitude to Itself: A Prompt Evolution Framework for Red Teaming
Rui Li, Peiyi Wang, Jingyuan Ma, Di Zhang, Lei Sha, Zhifang Sui
In Proceedings of EMNLP 2024 Conference, 2024. (EMNLP 2024).
[PDF] -
ASETF: A Novel Method for Jailbreak Attack on LLMs through Translate Suffix Embeddings
Hao Wang, Hao Li, Minlie Huang, Lei Sha(#)
In Proceedings of EMNLP 2024 Conference, 2024. (EMNLP 2024).
[PDF][Arxiv] -
ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator
Junda Zhu, Lingyong Yan, Haibo Shi, Dawei Yin, Lei Sha(#)
In Proceedings of EMNLP 2024 Conference, 2024. (EMNLP 2024).
[PDF][Arxiv] -
Harnessing the Plug-and-Play Controller by Prompting
Hao Wang, Lei Sha(#)
In Proceedings of EMNLP 2023 WorkShop, 2023. (EMNLP-GEM 2023).
[PDF][Arxiv] -
Correcting Flaws in Common Disentanglement Metrics
Louis Mahon, Lei Sha, Thomas Lukasiewicz
In Transactions of Machine Learning Research, 2024. (TMLR 2024).
[PDF][Arxiv] -
Text Attribute Control via Closed-Loop Disentanglement
Lei Sha, Thomas Lukasiewicz
In Transactions of the Association for Computational Linguistics. (TACL). [IF=17.59]
[PDF] -
Rationalizing Predictions by Adversarial Information Calibration
Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz
In Artificial Intelligence. (AI). [IF=14.05]
[PDF] -
Controlling Text Edition by Changing Answers of Specific Questions
Lei Sha, Patrick Hohenecker, Thomas Lukasiewicz
In Finding of ACL 2021 Conference, 2021. (ACL 2021 (Finding)).
[PDF][Arxiv][Data & Code] -
Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration
Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz
In Proceedings of AAAI 2021 Conference, 2021. (AAAI 2021).
[PDF][Arxiv][Code][BeerAdvocate] -
Multi-type Disentanglement without Adversarial Training
Lei Sha, Thomas Lukasiewicz
In Proceedings of AAAI 2021 Conference, 2021. (AAAI 2021).
[PDF][Arxiv][Code] -
Gradient-guided Unsupervised Lexically Constrained Text Generation
Lei Sha
In Proceedings of EMNLP 2020 Conference, 2020. (EMNLP 2020).
[PDF] -
Estimating Minimum Operation Steps via Memory-based Recurrent Calculation Network
Lei Sha, Chen Shi, Qi Chen, Lintao Zhang, Houfeng Wang
In 2020 international joint conference on neural networks. (IJCNN 2020).
[PDF][Code] -
Order-Planning Neural Text Generation from Structured Data
Lei Sha, Lili Mou, Tianyu Liu, Pascal Poupart, Sujian Li, Baobao Chang, Zhifang Sui
In Proceedings of AAAI 2018 Conference, 2018. (AAAI 2018).
[PDF][Arxiv] -
A Multi-View Fusion Neural Network for Answer Selection
Lei Sha, Xiaodong Zhang, Feng Qian, Baobao Chang, Zhifang Sui
In Proceedings of AAAI 2018 Conference, 2018. (AAAI 2018).
[PDF] -
Jointly Extracting Event Triggers and Arguments by Dependency-Bridge RNN and Tensor-Based Argument Interaction
Lei Sha, Feng Qian, Baobao Chang, Zhifang Sui
In Proceedings of AAAI 2018 Conference, 2018. (AAAI 2018).
[AAAIPDF] [PDF] -
Will Repeated Reading Benefit Natural Language Understanding?
Lei Sha, Zhifang Sui
In Proceedings of NLPCC 2017 Conference, 2017. (NLPCC 2017).
[PDF] -
Reading and Thinking: Re-read LSTM Unit for Textual Entailment Recognition
Lei Sha, Baobao Chang, Zhifang Sui, Sujian Li
In Proceedings of Coling 2016 Conference, 2016. (Coling 2016).
[PDF] -
Capturing Argument Relationship for Chinese Semantic Role Labeling
Lei Sha, Tingsong Jiang, Sujian Li, Baobao Chang, Zhifang Sui
In Proceedings of EMNLP 2016 Conference, 2016. (EMNLP 2016).
[PDF]
-
RBPB: Regularization-Based Pattern Balancing Method for Event Extraction
Lei Sha, Jing Liu, Chin-Yew Lin, Sujian Li, Baobao Chang, Zhifang Sui
In Proceedings of ACL 2016 Conference, 2016. (ACL 2016).
[PDF] -
Joint Learning Templates and Slots for Event Schema Induction
Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui.
In Proceedings of NAACL 2016 Conference, 2016. (NAACL 2016).
[arxiv(including supplement material)][PDF] -
Recognizing Textual Entailment Using Probabilistic Inference
Lei Sha, Sujian Li, Tingsong Jiang, Baobao Chang, Zhifang Sui.
In Proceedings of the EMNLP 2015 Conference, 2015. (EMNLP 2015).
[PDF] -
RecInDial: A Unified Framework for Conversational Recommendation with Pretrained Language Models.
Lingzhi Wang, Huang Hu, Lei Sha, Can Xu, Daxin Jiang, Kam-Fai Wong
In Proceedings of AACL 2022 Conference, 2022. (AACL 2022).
[PDF] -
Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning.
Yuntao Li, Can Xu, Huang Hu, Lei Sha, Yan Zhang, Daxin Jiang
In Proceedings of INTERSPEECH 2022 Conference, 2022. ( INTERSPEECH 2022).
[PDF] -
Associative Memory via Predictive Coding
Tommaso Salvatori, Yuhang Song, Yujian Hong, Simon Frieder, Lei Sha, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz
In Proceedings of NeurIPS 2021 Conference, 2021. (NeurIPS 2021).
[PDF] [Arxiv] -
Auto-Dialabel: Labeling Dialogue Data with Unsupervised Learning
Chen Shi, Qi Chen, Lei Sha, Sujian Li, Xu Sun, Houfeng Wang, Lintao Zhang
In Proceedings of EMNLP 2018 Conference, 2018. (EMNLP 2018).
[PDF] -
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] -
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). -
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] -
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] -
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] -
Encoding Temporal Information for Time-Aware Link Prediction
Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui.
In Proceedings of EMNLP 2016 Conference, 2016. (EMNLP 2016). [PDF] -
Towards Time-Aware Knowledge Graph Completion
Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui
In Proceedings of Coling 2016 Conference, 2016. (Coling 2016). [PDF] -
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] -
Event Schema Induction Based on Relational Co-occurrence over Multiple Documents
Tingsong Jiang, Lei Sha, Zhifang Sui
In Proceedings of Natural Language Processing and Chinese Computing, 2014. (NLPCC 2014).
Useful Links
Resources
The revolutionist Yin Wang's Blog
Jiwei Li's Homepage
ACL anthology: old new
Li Li's machine learning blog (Chinese)
I love NLP
Reinforcement Learning with Tensorflow
rs's machine learning blog (Chinese)
IFTTT: Applets bring your favorite services together
Richard S. Sutton
Percy Liang
Luke Zettlemoyer
UCL Course on RL
Interpretable Machine Learning
Gayle Laakmann McDowell's mainpage
1 Billion Word Language Model Benchmark
Lilian Weng's Blog
nvTop
Large Graph Visualization Tools and Approaches
Natural Language Generation Reading list (by Yao Fu)
Visiting Map
Blogs