强继朋
个人信息Personal Information
副高级
博士生导师
硕士生导师
教师拼音名称:QJP
出生日期:1988-02-02
电子邮箱:
入职时间:2017-01-10
所在单位:信息工程学院(人工智能学院)
学历:博士研究生毕业
办公地点:扬州大学扬子津校区信息工程学院电子电工中心W105
性别:男
学位:工学博士学位
在职信息:在岗
毕业院校:合肥工业大学
- 强继朋,李杨,张超伟,李云,朱毅,袁运浩,吴信东.Chinese Idiom Paraphrasing.TRANSACTIONS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS,2023,11740-754.
- 强继朋,朱士宇,李云,朱毅,袁运浩,吴信东.Natural language watermarking via paraphraser-based lexical substitution.ARTIFICIAL INTELLIGENCE,2023,317
- 强继朋,李杨,李云,袁运浩,朱毅.Lexical simplification via single-word generation.FRONTIERS OF COMPUTER SCIENCE,2023,17(6)
- 强继朋,张峰,李云,袁运浩,朱毅,吴信东.Unsupervised statistical text simplification using pre-trained language modeling for initialization.FRONTIERS OF COMPUTER SCIENCE,2023,17(1)
- 强继朋,钱镇宇,李云,袁运浩,吴信东.Short Text Topic Modeling Techniques, Applications, and Performance: A Survey.IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,2022,34(3)1427-1445.
- 强继朋,刘康,李云,袁运浩,朱毅.ParaLS: Lexical Substitution via Pretrained Paraphraser.Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics,NA3731-3746.
- 强继朋,陈宇,李杨,李云,吴信东.基于复述模型的词语替代方法.中文信息学报,2023,37(5)22-31.
- 强继朋,张峰,李云,袁运浩,朱毅,吴信东.Unsupervised statistical text simplification using pre-trained language modeling for initialization.FRONTIERS OF COMPUTER SCIENCE,2023,17(1)
- 强继朋,李杨,张超伟,李云,朱毅,袁运浩,吴信东.Chinese Idiom Paraphrasing.TRANSACTIONS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS,2023,11740-754.
- 强继朋,李杨,李云,袁运浩,朱毅.Lexical simplification via single-word generation.FRONTIERS OF COMPUTER SCIENCE,2023,17(6)
- 强继朋,朱士宇,李云,朱毅,袁运浩,吴信东.Natural language watermarking via paraphraser-based lexical substitution.ARTIFICIAL INTELLIGENCE,2023,317
- 强继朋,钱镇宇,李云,袁运浩,朱毅.基于预训练表示模型的英语词语简化方法.自动化学报,2022,第48卷5号1001-1013.
- 强继朋,李云,吴信东.自动词语简化方法综述.中文信息学报,2021,第35卷12号1-16.
- 强继朋,钱镇宇,李云,袁运浩,吴信东.Short Text Topic Modeling Techniques, Applications, and Performance: A Survey.IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,2022,34(3)1427-1445.
- 强继朋,李云,朱毅,袁运浩,石杨,吴信东.LSBert: Lexical Simplification Based on BERT.IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING,2021,293064-3076.