Shuai Lin (林帅)
shuailin97 [at] gmail.com
Hi, I'm currently an Algorithm Engineer at Search Rank Team (Taobao) in Alibaba (Hangzhou, China). Previously, I recieved the M.S. degree from Sun Yat-sen University, where I was fortunately advised by Prof. Xiaodan Liang. I used to work closely with Prof. Zhiting Hu and Dr. Pan Zhou.
I have a broad interest in NLP and machine learning problems, especially utilizing deep learning for various pratical NLP and graph-related tasks. Currently, my major research interest focuses on recommendation system and graph contrastive learning.
More about me: Google Scholar / Github / Linkedin
Research Interests
- Information Retrieval and Recommendation System.
- Graph Contrastive Learning.
- Low-resource NLP (few-shot learning and cross-domain settings)
- Controllable Text Generation: data-to-text generation etc.
Publications [Google Scholar]
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Iterative Graph Self-Distillation
Hanlin Zhang, Shuai Lin, Weiyang Liu, Pan Zhou, Jian Tang, Xiaodan Liang, Eric P Xing.
IEEE Transactions on Knowledge and Data Engineering, 2023. (TKDE 2023)
[paper]
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Prototypical Graph Contrastive Learning
Shuai Lin, Pan Zhou, Zi-Yuan Hu, Shuojia Wang, Ruihui Zhao, Yefeng Zheng, Liang Lin, Eric Xing, Xiaodan Liang.
IEEE Transactions on Neural Networks and Learning Systems. (TNNLS 2022).
[arXiv]
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Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation
Shuai Lin, Pan Zhou, Xiaodan Liang, Jianheng Tang, Ruihui Zhao, Ziliang Chen, Liang Lin.
Proceedings of the Association for the Advancement of Artificial Intelligence, 2021. (AAAI 2021)
[paper] [code]
-
Data-to-Text Generation with Style Imitation
Shuai Lin, Wentao Wang, Zichao Yang, Xiaodan Liang, Frank F Xu, Eric Xing, Zhiting Hu.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, 2020. (Findings of EMNLP 2020)
[paper] [code]
Experiences
- July 2022-Present, Algorithm Engineer II, Taobao Search Algorithm Team, Alibaba.
- June 2021-September 2021, ML Intern, Taobao Search Algorithm Team, Alibaba.
- March 2021-May 2021, Research Intern, Jarvis Lab, Tencent.
- August 2020-January 2021, NLP Intern, DMAI.
Honors & Awards
- National Graduate Scholarship, 2021
- Graduate Scholarship of SYSU, 2019, 2020
- First Prize in College Student Mathematical Contest Contest of Shanxi Province, 2017
- Honerable Mention in Mathematical Contest in Modeling, 2017
- Outstanding Student of Xidian University, XDU, 2016
Professional Activities
- Reviewer (or PC Member): EMNLP 2021-2022, LoG 2022, TNNLS 2022.
- Organizer: ICLR 2021 Challenge.
Iterative Graph Self-Distillation
Hanlin Zhang, Shuai Lin, Weiyang Liu, Pan Zhou, Jian Tang, Xiaodan Liang, Eric P Xing.
IEEE Transactions on Knowledge and Data Engineering, 2023. (TKDE 2023) [paper]
Prototypical Graph Contrastive Learning
Shuai Lin, Pan Zhou, Zi-Yuan Hu, Shuojia Wang, Ruihui Zhao, Yefeng Zheng, Liang Lin, Eric Xing, Xiaodan Liang.
IEEE Transactions on Neural Networks and Learning Systems. (TNNLS 2022). [arXiv]
Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation
Shuai Lin, Pan Zhou, Xiaodan Liang, Jianheng Tang, Ruihui Zhao, Ziliang Chen, Liang Lin.
Proceedings of the Association for the Advancement of Artificial Intelligence, 2021. (AAAI 2021) [paper] [code]
Data-to-Text Generation with Style Imitation
Shuai Lin, Wentao Wang, Zichao Yang, Xiaodan Liang, Frank F Xu, Eric Xing, Zhiting Hu.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, 2020. (Findings of EMNLP 2020) [paper] [code]