陈琴

陈琴，博士，青年研究员。研究兴趣主要包括自然语言处理、跨模态语义理解和机器学习，目前专注于信息抽取、知识表示和推理、问答系统和人机对话等相关研究。在相关领域国际顶级会议和期刊如TKDE、AAAI、IJCAI、SIGIR、EMNLP等发表论文20余篇，以项目/子课题负责人主持国家自然科学基金、省部级科研项目多项，常年担任相关学术会议期刊审稿人。

- 上海市计算机学会自然语言处理专委会秘书长

- 中国中文信息学会青年工作委员会委员

- 常年担任AAAI、SIGIR、EMNLP、CIKM、NLPCC以及ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP)、Soft Computing等国际知名会议和期刊的审稿人

自然语言处理、跨模态语义理解和机器学习

本科必修 《人工智能》

代表性成果：

1.  Jiaju Lin, Qin Chen*, Jie Zhou, Jian Jin, Liang He. CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument Extraction. In IJCAI, 2022 (已录用)

2.  Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Liang He. Enhancing Event-Level Sentiment Analysis with Structured Arguments. In SIGIR, 2022 (已录用)

3.  Yuhao Dan, Jie Zhou, Qin Chen*, Qingchun Bai, Liang He. Enhancing Class Understanding Via Prompt-Tuning For Zero-Shot Text Classification. In ICASSP, 2022, pages 4303-4307.

4.  Jiabo Ye, Xin Lin, Liang He, Dingbang Li, Qin Chen. One-Stage Visual Grounding via Semantic-Aware Feature Filter. In CVPR, 2021, pages 1702-1711.

5.  Ruipu Luo, Qi Zhu, Qin Chen*, Siyuan Wang, Zhongyu Wei, Weijian Sun, Shuang Tang. Operation Diagnosis on Procedure Graph: The Task and Dataset. In CIKM, 2021, pages 3288-3292.

6.   Jie Zhou, Yuanbin Wu, Qin Chen, Xuanjing Huang and Liang He. Attending via both Fine-tuning and Compressing. In ACL Findings, 2021, pages 2152-2161.

7.  Yanjian Zhang, Qin Chen*, Yiteng Zhang, Zhongyu Wei, Yixu Gao, Jiajie Peng, Zengfeng Huang, Weijian Sun and Xuanjing Huang. Automatic Term Name Generation for Gene Ontology: Task and Dataset. In EMNLP Findings, 2020, pages 4705-4710.

8.  Yun He, Ziwei Zhu, Yin Zhang, Qin Chen and James Caverlee. Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition. In EMNLP, 2020, pages 4604-4614.

9.   Jie Zhou, Qin Chen, Jimmy Xiangji Huang, Qinmin Vivian Hu and Liang He. Position-aware hierarchical transfer model for aspect-level sentiment classification. Information Sciences 513: 1-16, 2020.

10. Yu Ji, Wen Wu, Shiyun Chen, Qin Chen, Wenxin Hu and Liang He. Two-stage sentiment classification based on user-product interactive information. Knowledge-Based Systems. 2020:106091.

11.  Qin Chen, Xinzhu Lin, Xiahui He, Huaixiao Tou, Ting Chen and Zhongyu Wei. Enhancing Dialogue Symptom Diagnosis with Global Attention and Symptom Graph. In EMNLP, 2019, pages 5032-5041.

12.  Yiying Yang, Zhongyu Wei, Qin Chen and Libo Wu. Using External Knowledge for Financial Event Prediction based on Graph Neural Networks. In CIKM, 2019, pages 2161-2164.

13.  Qin Chen, Qinmin Vivian Hu, Jimmy Xiangji Huang, Liang He. CA-RNN: using context-aligned recurrent neural networks for modeling sentence similarity. In AAAI, 2018, pages 265-273.

14.  Qin Chen, Qinmin Vivian Hu, Jimmy Xiangji Huang, Liang He. TAKer: fine-grained time-aware microblog search with kernel density estimation. TKDE, 2018, 30(8):1602- 1615.

15.  Qin Chen, Qinmin Vivian Hu, Jimmy Xiangji Huang, Liang He. CAN: Enhancing sentence similarity modeling with collaborative and adversarial network. In SIGIR, 2018, pages 815-824.

16.   Qin Chen, Qinmin Vivian Hu, Jimmy Xiangji Huang, Liang He. Modeling queries with contextual snippets for information retrieval. TIST, 2018, 9(4): 47:1-47:26.

17.   Qinmin Vivian Hu, Jie Zhou, Qin Chen, Liang He. SNNN: promoting word sentiment and negation in neural sentiment classification. In AAAI, 2018, pages 3255-3262.

18.  Qin Chen, Qinmin Vivian Hu, Jimmy Xiangji Huang, Liang He, W. An. Enhancing recurrent neural networks with positional attention for question answering. In SIGIR, 2017, pages 993-996.

19.   Qinmin Vivian Hu, Yijun Pei, Qin Chen, Liang He. SG++: word representation with sentiment and negation for twitter sentiment classification. In SIGIR, 2016, pages 997-1000.

详见Google Scholar:

- Google Scholar：https://scholar.google.com/citations?user=S7u5zTQAAAAJ&hl=en