BASIS: An LLM-Empowered Benchmark and Agent System for Inferring Synthetic Lethality
A benchmark and LLM-powered agent system for inferring synthetic lethality.
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ShanghaiTech University · Shanghai, China
Master’s student in Computer Science and Technology
Exploring knowledge graphs and AI for scientific discovery.
I am a master’s student at ShanghaiTech University (SIST), advised by Prof. Jie Zheng. I received my B.S. in Software Engineering from Yunnan University in 2025.
My interests include knowledge graph reasoning, completion, and alignment, and AI for Science, particularly drug discovery. I also contribute to open-source projects.
A benchmark and LLM-powered agent system for inferring synthetic lethality.
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Multi-view graph invariant learning for predicting unknown drug–drug interactions.
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A Retinex-based Mamba approach to enhancing images captured in low light.
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Representation Learning, Reasoning, Completion, Embedding, Alignment
AI for Physics, AI for Chemistry, Drug Discovery, Scientific Discovery
M.S. in Computer Science and Technology
Supervisor: Prof. Jie Zheng
B.S. in Software Engineering
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