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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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[11]林琛.Leveraging Dynamic and HeterogeneousWorkload Knowledge to Boost the Performance of Index Advisors.Proceedings of the VLDB Endowment,17(7):1642-1654.
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[12]林琛.Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models.arXiv,2024,
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[13]林琛.RHO-1: Not All Tokens Are What You Need.arXiv,2024,
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[14]林琛.Think-on-Graph: Deep and Responsible Reasoning of Large Language Model with Knowledge Graph.arXiv,2023,
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[15]林琛.GENET: Unleashing the Power of Side Information for Recommendation via Hypergraph Pre-training.arXiv,2023,
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[16]林琛.E-commerce Search via Content Collaborative Graph Neural Network.Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining,2023,2885-2897.
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[17]林琛.BOMGraph: Boosting Multi-scenario E-commerce Search with a Unified Graph Neural Network.International Conference on Information and Knowledge Management, Proceedings,2023,514-523.
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[18]林琛,何承勇,Exposure to echimidine impairs the heart development and function of zebrafish larvae.ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY,2023,266
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[19]林琛,Optimization of drug-target affinity prediction methods through feature processing schemes.BIOINFORMATICS,2023,39(11):
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[20]林琛.D<SUP>2</SUP>PSG: Multi-Party Dialogue Discourse Parsing as Sequence Generation.IEEE/ACM Transactions on Audio Speech and Language Processing,311-10.
