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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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[71]林琛.Drug Target Interaction Prediction using Multi-task Learning and Co-attention.Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019,2018,528-533.
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[72]林琛.Modeling sentiment evolution for social incidents.International Conference on Information and Knowledge Management, Proceedings,2019,2413-2416.
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[73]林琛,Learning to Predict Drug Target Interaction from Missing Not at Random Labels.IEEE Transactions on Nanobioscience,18(3):353-359.
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[74]林琛.Drug Target Interaction Prediction with Non-random Missing Labels.Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018,2019,496-501.
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[75]林琛.Spiral of silence in recommender systems.WSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining,2019,222-230.
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[76]林琛.Secure top-k inner product retrieval.International Conference on Information and Knowledge Management, Proceedings,2018,77-86.
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[77]林琛,A novel model for POI recommendation in indoor space.Frontiers in Artificial Intelligence and Applications,309216-222.
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[78]林琛.Robust visual tracking via identifying multi-scale patches.Multimedia Tools and Applications,78(11):14195-14230.
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[79]林琛,Realtime event summarization from tweets with inconsistency detection.Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),11157 LNCS555-570.
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[80]林琛.Structural Hole Spanner in HumanNet Identifies Disease Gene and Drug targets.IEEE Access,2018,635392-35401.
