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林凡
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副教授
博士生导师
硕士生导师
- 教师英文名称：Fan Lin
- 电子邮箱：678403952c7c64c39c3047159c030e1b6f83cbc9cc10d4a6a50946f160aa01164849c90442f31722e8dc653fc752aadcc7836bcaf984fd486b2b521cd01a2483bd359a6014289181b76ddd9b324416c07fbbd45b53befe4148c842cc88ab9976f12fd2e5a98f9c4dd15ef93db4b3e887499305942766f9fc24a7fe51022d5907
- 入职时间：2000-08-15
- 所在单位：信息学院
- 学历：博士研究生毕业
- 性别：男
- 学位：理学博士学位
- 在职信息：在职
- 毕业院校：厦门大学
访问量：
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[1]Chen Lifan,林凡,Wei Ding, Jingwen Yang, Xiuze Zhou, Jingan Chen,林凡.Cogito: A Cognitive Agentic Framework Driven by Dynamic Graph of Thoughts for Financial Report Generation.San Diego, California, United States:Findings of the Association for Computational Linguistics: ACL 2026,8846-8860.
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[2]Haisong Feng,林凡,Xiaosong Wang,林凡.MDSGCN: Predicting Multiple Types of Mutation-Drug Association Through Signed Graph Convolution Network.IEEE Transactions on Computational Biology and Bioinformatics,22(3):1072-1085.
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[3]Wei Ding,林凡,Hanpeng Jiang, Ruibo Xiong, Yongrong Wu, Jingan Chen, Lifan Chen, Pengfei Ding,林凡.Adaptive Bidirectional State Space Model for High-frequency Portfolio Management.Seoul, Republic of Korea:Proceedings of the 34th ACM International Conference on Information and Knowledge Management,2025,595-604.
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[4]Xiaosong Wang,林凡,Haisong Feng, Yilei Zhang,林凡.SGCLMD: Signed graph-based contrastive learning model for predicting somatic mutation-drug association.Computers in Biology and Medicine,2025,190
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[5]Yuanguo Lin,林凡, Xiuze Zhou,Wei Zhang,林凡, Wenhua Zeng, Xiuze Zhou, Pengcheng Wu.Knowledge-aware reasoning with self-supervised reinforcement learning for explainable recommendation in MOOCs.Neural Computing and Applications,2023,36(8):4115-4132.
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[6]Wei Ding,林凡,Zhennan Chen, Hanpeng Jiang, Yuanguo Lin,林凡.Trend-Heuristic Reinforcement Learning Framework for News-Oriented Stock Portfolio Management.Seoul, Republic of Korea:ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),2024,5120-5124.
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[7]Qian Hu,林凡,林凡, Beizhan Wang, Chunyan Li.MBRep: Motif-based representation learning in heterogeneous networks.Expert Systems with Applications,2022,190
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[8]Xiujin Wu,Wenhua Zeng,林凡,Wenhua Zeng,林凡, Peng Xu, Xinzhu Li.Anticancer Peptide Prediction via Multi-Kernel CNN and Attention Model.Frontiers in Genetics,2022,13
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[9]Xiujin Wu,Wenhua Zeng,林凡,Wenhua Zeng,林凡, Xiuze Zhou.NeuRank: learning to rank with neural networks for drug–target interaction prediction.BMC Bioinformatics,2021,22(1):
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[10]林凡.Enhance Volatility of Denormalized Predictions in Time Series Forecasting.Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),14880 LNAI97-108.
