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Dr. Junyi Li is a postdoctoral associate at Singapore-MIT Alliance for Research and Technology (SMART). His research focuses on developing computational approaches to study complex social systems.
Before joining SMART, he earned his doctor’s degree from Zhejiang University, where his work focuses on transfer learning and physics informed learning for urban computing.
FrontierOR: Benchmarking LLMs’ Capacity for Efficient Algorithm Design in Large-Scale Optimization
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Measuring Representational and Allocational Harms in LLM Career Recommendations
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Digital Distortions: Auditing Bias in LLM-based Career Recommendations
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Leveraging the Spatial Hierarchy: Coarse-to-fine Trajectory Generation via Cascaded Hybrid Diffusion
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