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刘家伟

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个人简介

刘家伟,男,1994年生,博士。2023年博士毕业于十大网投正规信誉官网下载情报学专业。曾获十大网投正规信誉官网下载研究生学术创新奖特等奖、十大网投正规信誉官网下载优秀研究生等荣誉,参与国家自然科学基金重点项目、面上项目,国家社会科学基金重大项目等多个国家级课题,在ACM CCS、AAAI、SIGIR、EMNLP、IP&M、ESWA、JASIST等国际重要会议和期刊发表论文10余篇,获得ACM CCS 2022最佳论文提名,2019-2021年曾在阿里巴巴达摩院开展研究型实习工作,并获得年度优秀研究型实习生,主要研究方向包括信息检索与内容安全等。担任TNNLS、Journal of Information Science、WWW、AAAI、IJCAI、ACL、EMNLP、NAACL等SCI/SSCI期刊、顶级会议审稿人。

研究方向

信息检索、文本挖掘、内容安全

学术成果

[1] Jiawei Liu, Yangyang Kang, Di Tang, Kaisong Song, Changlong Sun, Xiaofeng Wang, Wei Lu, and Xiaozhong Liu. 2022. Order-Disorder: Imitation Adversarial Attacks for Black-box Neural Ranking Models. In Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security. Association for Computing Machinery, New York, NY, USA, 2025–2039. (ACM CCS, CCF-A类会议, 获最佳论文提名)

[2] Jiawei Liu, Zhe Gao, Yangyang Kang, Zhuoren Jiang, Guoxiu He, Changlong Sun, Xiaozhong Liu, and Wei Lu. 2021. Time to Transfer: Predicting and Evaluating Machine-Human Chatting Handoff. In Proceedings of the 35th AAAI Conference on Artificial Intelligence. 35(7), 5841-5849. (AAAI, CCF-A类会议)

[3] Jiawei Liu, Kaisong Song, Yangyang Kang, Guoxiu He, Zhuoren Jiang, Changlong Sun, Wei Lu, and Xiaozhong Liu. 2021. A Role-Selected Sharing Network for Joint Machine-Human Chatting Handoff and Service Satisfaction Analysis. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 9731–9741. (EMNLP, CCF-B类会议)

[4] Yongqiang Ma1, Jiawei Liu1, Wei Lu, and Qikai Cheng. 2023. From “what” to “how”: Extracting the Procedural Scientific Information Toward the Metric-optimization in AI. Information Processing & Management. 60(3), 103315. (IP&M, SCI/SSCI Q1)

[5] 陆伟, 刘家伟, 马永强, 程齐凯. 2023. ChatGPT为代表的大模型对信息资源管理的影响. 图书情报知识, 40(2): 6-9. (CSSCI,高被引论文)

[6] Kaisong Song, Yangyang Kang*, Jiawei Liu*, Xurui Li, Changlong Sun, and Xiaozhong Liu. 2023. A Speaker Turn-Aware Multi-Task Adversarial Network for Joint User Satisfaction Estimation and Sentiment Analysis. In Proceedings of the 37th AAAI Conference on Artificial Intelligence. 37(11), 13582-13590. (AAAI, CCF-A类会议)

[7] Zi Xiong, Lizhi Qin, Yangyang Kang*, Jiawei Liu*, Xiaozhong Liu, Wei Lu. 2024. Enhance Robustness of Language Models Against Variation Attack through Graph Integration. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, TBD. (COLING, CCF-B类会议)

[8] Guoxiu He, Yangyang Kang, Zhuoren Jiang, Jiawei Liu, Changlong Sun, Xiaozhong Liu, and Wei Lu. 2020. Creating a Children-Friendly Reading Environment via Joint Learning of Content and Human Attention. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, New York, NY, USA, 279–288. (SIGIR, CCF-A类会议)

[9] Xiang Shi, Yinpeng Liu, Jiawei Liu, Qikai Cheng, and Wei Lu. 2024. Integrity Verification for Scientific Papers: The first exploration of the text. Expert Systems with Applications. 237, 121488 (ESWA, SCI Q1)

[10] Zhikai Xue, Guoxiu He, Jiawei Liu, Zhuoren Jiang, Star Zhao, and Wei Lu. 2023. Re-examining lexical and semantic attention: Dual-view graph convolutions enhanced BERT for academic paper rating. Information Processing & Management. 60(2), 103216. (IP&M, SCI/SSCI Q1)

[11] Jing Dong, Yangyang Kang, Jiawei Liu, Changlong Sun, Shu Fan, Huchong Jin, Dan Wu, Zhuoren Jiang, Xi Niu, and Xiaozhong Liu. 2023. Human-centred design on crowdsourcing annotation towards improving active learning model performance. 01655515231204802. (JIS, SSCI Q3)

[12] Yi Jiang, Rui Meng, Yong Huang, Wei Lu, and Jiawei Liu. 2023. Generating keyphrases for readers: A controllable keyphrase generation framework. Journal of the Association for Information Science and Technology. 74(7), 759-774. (JASIST, SCI/SSCI Q2)

[13] 陆伟, 马永强, 刘家伟, 杨金庆, 程齐凯. 2023. 数智赋能的科研创新——基于数智技术的创新辅助框架探析. 情报学报, 42(9):1009-1017. (CSSCI)

[14] 陆伟, 汪磊, 程齐凯, 刘家伟, 黄永. 2024. 数智赋能信息资源管理新路径:指令工程的概念、内涵和发展. 图书情报知识, 网络首发. (CSSCI)


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