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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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[61]林琛.Critical downstream analysis steps for single-cell RNA sequencing data.BRIEFINGS IN BIOINFORMATICS,2020,22(5):
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[62]林琛,李辉,Improving Code Summarization with Block-wise Abstract Syntax Tree Splitting.2021 IEEE/ACM 29TH INTERNATIONAL CONFERENCE ON PROGRAM COMPREHENSION (ICPC 2021),184-195.
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[63]林琛,Drug target interaction prediction via multi-task co-attention.INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS,24(2):160-176.
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[64]林琛,Preserve Integrity in Realtime Event Summarization.ACM Transactions on Knowledge Discovery from Data,2020,15(3):
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[65]林琛,Spiral of Silence and Its Application in Recommender Systems.IEEE Transactions on Knowledge and Data Engineering,34(6):2934-2947.
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[66]林琛,Attacking Recommender Systems with Augmented User Profiles.International Conference on Information and Knowledge Management, Proceedings,2020,855-864.
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[67]林琛,DEAMER: A Deep Exposure-Aware Multimodal Content-Based Recommendation System.Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),12114 LNCS621-637.
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[68]林琛,Non-compensatory psychological models for recommender systems.33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019,4304-4311.
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[69]林琛.Multi-features guided robust visual tracking.MULTIMEDIA TOOLS AND APPLICATIONS,80(11):-.
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[70]卢杨,林琛.Federated Learning with Extremely Noisy Clients via Negative Distillation.Proceedings of the AAAI Conference on Artificial Intelligence,2024,38(13):14184-14192.
