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Hi there, I am Yulu Gan, a PhD student at CSAIL, MIT. Previously, I graduated from Peking University in July 2024. In 2023, I was a visiting student at CBMM, MIT, studying ML theory, and also conducted several months of remote research at EECS, UC Berkeley. I am interested in multimodalities and exploring the emergence of intelligence. Swimming, Basketball, Badminton, Reading, Saxophone |
Some of my early blogs on ML, CV, and RL. How to build Vision Generalists - the presentation for the ICLR paper InstructCV. Visual Prompting for Continual Test Time Adaptation - the presentation for the AAAI Outstanding Student Paper VDP. Here are some websites where my papers have been featured. |
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AlaaLab/InstructCV
AlaaLab/InstructCV Public[ ICLR 2024 ] Official Codebase for "InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists"
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VsonicV/es-fine-tuning-paper
VsonicV/es-fine-tuning-paper PublicThis repo contains the source code for the paper "Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning"
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