Guoxin Yu 于国欣

A fourth-year Ph.D. candidate
Key Lab of Intelligent Information Processing of Chinese Academy of Sciences,
Institute of Computing Technology (ICT),
Chinese Academy of Sciences (CAS),
No. 6 Kexueyuan South Rd.
Haidian Dist., Beijing, China
E-mail: yuguoxin20g@ict.ac.cn

Mobirise

About me

I am a fourth-year Ph.D. candidate in the Key Lab of Intelligent Information Processing of Chinese Academy of Sciences, ICT, CAS.  My research interest lies in retrieval-augmented text classification and its application in financial sentiment analysis. This is my Google Scholar.
I am fortunate to be supervised by Prof. Xiang Ao. 
I received B.S. degree in Computer Science from ShanDong Normal University in 2020.
From April 2022 to May 2023, I was an intern at NLP center, Tencent AI Lab, supervised by Dr. Lemao Liu.

Research

  • Retrieval-augmented natural language understanding.  
    Retrieval-augmented natural language understanding aims to fetch relevant examples from training sets or external knowledge bases to improve the performance of different NLU tasks. The main challenge of this task is to retrieve useful examples for downstream tasks.
  • Aspect-based Sentiment Analysis.
    Aspect-based Sentiment Analysis (ABSA for short) is a burgeoning fine-grained sentiment analysis task, which aims to extract aspect terms, classify the related sentiment polarities, and find opinion terms as the cause of the sentiment.
  • Financial Event Extraction and Classification.  
    Financial Event extraction and Classification extract events form financial news and reports and obtain their classes. Such task could help users obtain competitors’ strategies, predict the stock market and make correct investment decisions.

Publications

  • Retrieval-augmented Few-shot Text Classification. In the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP2023 Findings). [Paper] [Slide] [Poster]
    Guoxin Yu, Lemao Liu*, Haiyun Jiang, Shuming Shi, Xiang Ao*.
  • Making Better Use of Training Corpus: Retrieval-based Aspect Sentiment Triplet Extraction via Label Interpolation. In the Joint Conference of the 61th Annual Meeting of the Association for Computational Linguistics and the 13th International Joint Conference on Natural Language Processing (ACL-IJCNLP2023 Findings). [Paper] [Slide] [Poster]
    Guoxin Yu, Lemao Liu*, Haiyun Jiang, Shuming Shi, and Xiang Ao*.
  • Self Question-answering: Aspect-based Sentiment Analysis by Role Flipped Machine Reading Comprehension. In the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP2021 Findings). [Paper] [Slide]
    Guoxin Yu, Jiwei Li, Ling Luo, Yuxian Meng, Xiang Ao* and Qing He.
  • Making Flexible Use of Subtasks: A Multiplex Interaction Network for Unified Aspect-based Sentiment Analysis. In the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP2021 Findings). [Paper] [Slide]
    Guoxin Yu, Xiang Ao*, Ling Luo, Min Yang, Xiaofei Sun, Jiwei Li and Qing He.
  • Discovering Protagonist of Sentiment with Aspect Reconstructed Capsule Network. In Proceedings of the 26th International Conference on Database Systems for Advanced Applications. (DASFAA2021).
    [Paper] [Slide]
    Chi Xu, Hao Feng, Guoxin Yu, Min Yang, Xiting Wang, Yan Song and Xiang Ao*.

Honours and Awards

Recognition Award of 2022 Tencent Rhino-Bird Research Elite Program, Tencent, 2023
Tencent Rhino-Bird Research Elite Program, Tencent, 2022
First academic scholarship, ICT, CAS, 2021
Lvde's investment Master Award (虑得奖学金), ICT, CAS, 2021
Outstanding Graduate of Shandong Province, 2020
College Student Scholarship of CAS, 2019

Nobody can casually succeed,it comes from the thoroughself-control and the will.

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