Shuaiqi Liu 刘帅岐
Dr. Liu is a AI Researcher @ Huawei Technologies Co. working on Large Language Model, Natural Language Processing, and Generative AI.
Liu is currently focusing on optimizing the training and data schemes for large language models, encompassing both pre-training and post-training stages. He is also working on the training infrastructures and domain applications of LLMs.
Education:
Ph.D. in Computer Science, Sep. 2019 – Jan. 2024, IMCL Group @ The Hong Kong Polytechnic University (PolyU), supervised by Prof. Jiannong Cao.
Exchange Visiting Student, Sep. 2022 – Mar. 2023, BDSC Lab @ University of Illinois Chicago (UIC), under the supervision of Prof. Philip S. Yu.
B.Eng. in Electrical Engineering, Sep. 2015 – Jun. 2019, Zhejiang University (ZJU), Hangzhou, China
Working Experiences:
AI Algorithm Researcher (Senior Engineer), Huawei Technologies Co., Ltd, May 2024 - Now
Postdoctoral Fellow, The Hong Kong Polytechnic University (PolyU), Feb. 2024 - May 2024
Algorithm Engineer Intern, Didi Chuxing, Jan. 2019 - May 2019
Research Interests:
- Large Language Model
- Natural Language Processing
- Natural Language Generation
- Document Summarization
- LLM-based Agent
- Data-Centric AI
- Trustworthy NLP
Publications:
[TKDE] Shuaiqi Liu, Jiannong Cao, Zhongfen Deng, Wenting Zhao, Ruosong Yang, Zhiyuan Wen, and Philip S. Yu, “Neural Abstractive Summarization for Long Text and Multiple Tables.” IEEE Transactions on Knowledge and Data Engineering (2023). [PDF]
[EMNLP Findings 22] Shuaiqi Liu, Jiannong Cao, Ruosong Yang and Zhiyuan Wen. “Long Text and Multi-Table Summarization: Dataset and Method”, The 2022 Conference on Empirical Methods in Natural Language Processing. [PDF]
[IJCAI-22] Shuaiqi Liu, Jiannong Cao, Ruosong Yang and Zhiyuan Wen. “Generating a Structured Summary of Numerous Academic Papers: Dataset and Method”, The 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence. [PDF]
[IPM] Shuaiqi Liu, Jiannong Cao, Yicong Li, Ruosong Yang and Zhiyuan Wen, “Low-Resource Court Judgment Summarization for Common Law Systems” (2024) [PDF]
[IPM] Shuaiqi Liu, Jiannong Cao, Ruosong Yang and Zhiyuan Wen. “Key phrase aware transformer for abstractive summarization.” Information Processing & Management 59.3 (2022): 102913. [PDF]
[ACL Findings 21] Shuaiqi Liu, Jiannong Cao, Ruosong Yang and Zhiyuan Wen. “Highlight-Transformer: Leveraging Key Phrase Aware Attention to Improve Abstractive Multi-Document Summarization”, The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Findings. [PDF]
[IPM] Chenxi Hua, Tao Wu*, Shuaiqi Liu*, Chunsheng Liu, Tao Ma, Fang Yang. “Joint Unsupervised Contrastive Learning and Robust GMM for Text Clustering”, Information Processing & Management (2023) [PDF]
[KDD 2024] Yicong Li, Yu Yang, Jiannong Cao, Shuaiqi Liu, Haoran Tang, Guandong Xu. “Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach”, 2024 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. [PDF]
[PerCom 2024] Zhiyuan Wen, Jiannong Cao, Yu Yang, Ruosong Yang, Shuaiqi Liu. “Affective-NLI: Towards Accurate and Interpretable Personality Recognition in Conversation”, The 22nd International Conference on Pervasive Computing and Communications (2024) [PDF]
[TOIS] Zhiyuan Wen, Jiannong Cao, Ruosong Yang, Shuaiqi Liu, Jiaxing Shen, Maosong Sun. “Personality-affected Emotion Generation in Dialog Systems”, ACM Transactions on Information Systems (2024) [PDF]
[IPM] Zhiyuan Wen, Jiannong Cao, Yu Yang, Haoli Wang, Ruosong Yang, Shuaiqi Liu. “DesPrompt: Personality-descriptive prompt tuning for few-shot personality recognition.” Information Processing & Management (2023) [PDF]
[ACL Findings 21] Zhiyuan Wen, Jiannong Cao, Ruosong Yang, Shuaiqi Liu, Jiaxing Shen. “Automatically Select Emotion for Response via Personality-affected Emotion Transition”, The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Findings. [PDF]
[Thesis] Shuaiqi Liu, Neural Abstractive Summarization for Long Documents, The Hong Kong Polytechnic University
Teaching Experience:
- Teaching Assistant, 2019 Fall, COMP3011: Design and Analysis of Algorithms
- Teaching Assistant, 2020 Spring, COMP1011: Programming Fundamentals (C++)
- Teaching Assistant, 2020 Fall, COMP3131: Business and Information Systems Strategies
- Teaching Assistant, 2021 Spring, COMP2421: Computer Organization
- Teaching Assistant, 2021 Fall, COMP4133: Information Retrieval
- Teaching Assistant, 2022 Spring, COMP5511: Artificial Intelligence Concepts
Academic Services:
Conference Reviewer/Program Committee Member: ACL Rolling Review (ARR), ACL 2023 2021, EMNLP 2023, KDD 2022, BigData 2023 2021 2020, COMPSAC 2022, Percom 2023.
Journal Reviewer: TNNLS, IPM, JAIHC, TIIS, High-Confidence Computing
Awards:
Huawei Future Star 2024
Outstanding Graduates of Zhejiang University
Outstanding Undergraduate Thesis Award
Zhejiang University First-Class Scholarship for Research and Innovation 17-18
Zhejiang University Outstanding Student Awards 16-17, 17-18
Scholarships for Outstanding Merits & Outstanding Student 15-16, 16-17, 17-18
Hobbies:
- Reading: History, Economics, Sociology, and Science Fiction
- Sports: Swimming, Hiking
- Games: FPS, RTS, Go
Contact Me:
Email: shuaiqi.liu@connect.polyu.hk
Office: Songshan Lake, Dongguan, Guadong Province, China