Chen Lin

Chen Lin is affiliated with Xiamen University, School of Informatics, China. Their research spans Computer Science, Artificial Intelligence, and Bioinformatics, with a focus on Recommender Systems, Machine Learning, and Natural Language Processing.

Chen Lin has published extensively on topics such as language models, index advisors, and adversarial attacks. Their work includes optimizing multi-modal recommendation systems, knowledge graphs, and drug-target interaction prediction. Recent publications in 2024 explore hypergraph pre-training, robustness in index advisors, and anonymized LLM annotation techniques.

Key collaborations include researchers like Yeyun Gong, Zhenghao Lin, and Guoliang Li. While no formal awards are listed, their contributions to deep learning, data mining, and security are evident through their high-impact publications in venues such as NeurIPS, ICML, and KDD.