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林琛

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教授
博士生导师
硕士生导师
- 教师英文名称:LIN Chen
- 电子邮箱:79d5aad55733dba573ed8888fe4e3223db5cbae43d505dc8b95c035e2e0affca3e990b8ef922d1049d7b0c142c5e94219b52df1adbdb1c611df43a4bcea091148a56e11407e658dae34476ed4cad01b0447ab80a3bbacf03ee04b092429198dbd9f15c50cd8beb678584125d179f0c9f463f9899065035c1d8b959bf801c7e6d
- 入职时间:2010-01-22
- 所在单位:信息学院
- 学历:博士研究生毕业
- 办公地点:翔安校区立信楼317
- 性别:女
- 学位:理学博士学位
- 在职信息:在职
- 毕业院校:复旦大学
- 学科:计算机科学与技术
- 2024当选:省高端人才
- 2026-03曾获荣誉当选:IEEE青年科学家
- 2024-12曾获荣誉当选:NeurIPS最佳论文奖亚军
- 2024-12曾获荣誉当选:河南省科技进步一等奖
- 2025-11曾获荣誉当选:福建省自然科学三等奖
- 2015-01曾获荣誉当选:厦门大学英语教学技能比赛一等奖
- 2020-11曾获荣誉当选:福建省自然科学三等奖
- 2024-07曾获荣誉当选:ICIC最佳论文奖
- 2026-02曾获荣誉当选:中国自动化学会自然科学三等奖
- 2024-08曾获荣誉当选:腾讯犀牛鸟精英人才计划优秀导师
- 2013-12曾获荣誉当选:深圳市科技项目先进个人
- 2022-12曾获荣誉当选:厦门大学奇妙奖教金
访问量:
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[51]林琛.Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis.arXiv,2022,
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[52]林琛.Lightweight Unbiased Multi-teacher Ensemble for Review-based Recommendation.International Conference on Information and Knowledge Management, Proceedings,2022,4620-4624.
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[53]林琛.Efficiently Answering k-hop Reachability Queries in Large Dynamic Graphs for Fraud Feature Extraction.Proceedings - IEEE International Conference on Mobile Data Management,2022-June238-245.
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[54]林琛,Adaptive Code Learning for Spark Configuration Tuning.Proceedings - International Conference on Data Engineering,2022-May1995-2007.
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[55]林琛.Neutralizing Popularity Bias in Recommendation Models.SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval,2022,2623-2628.
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[56]林琛,Shilling Black-box Recommender Systems by Learning to Generate Fake User Profiles.arXiv,2022,
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[57]林琛,李辉,Shilling Black-Box Recommender Systems by Learning to Generate Fake User Profiles.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2021,1-15.
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[58]林琛,A comparison of deep learning-based pre-processing and clustering approaches for single-cell RNA sequencing data.BRIEFINGS IN BIOINFORMATICS,2022,23(1):
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[59]林琛,Characterizing viral circRNAs and their application in identifying circRNAs in viruses.BRIEFINGS IN BIOINFORMATICS,2022,23(1):
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[60]林琛,Current status and future prospects of drug-target interaction prediction.BRIEFINGS IN FUNCTIONAL GENOMICS,2020,20(5):312-322.