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$40 USD / hour
Flag of CHINA
guangdong, china
$40 USD / hour
It's currently 9:24 PM here
Joined April 11, 2024
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Chang L.

@AlonzoLeeeooo

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$40 USD / hour
Flag of CHINA
guangdong, china
$40 USD / hour
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Deep Learning Researcher

I am a DL researcher (ranked 57th worldwide). I have skillful experience in deep learning-based research, including computer vision, generative models, etc. I am familiar with model architecture such as Transformer, GANs, diffusion models, VAEs, which are highly related to my published papers. I can provide services including academic paper proofreading (LaTeX), Deep Learning/Computer Vision/Generative Models Project tutoring, academic presentation slide production. If you have any special requirement, please feel free to contact me.

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Portfolio

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11829338
11829344
11829339
11829342
11829348
11878173

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Experience

DL reseracher

USTC
Sep 2021 - Present
I am a DL researcher (ranked 57th worldwide). I have skillful experience in deep learning-based research, including computer vision, generative models, etc. I am familiar with model architecture such as Transformer, GANs, diffusion models, VAEs, which are highly related to my published papers. I can provide services including academic paper proofreading (LaTeX), Deep Learning/Computer Vision/Generative Models Project tutoring, academic presentation slide production.

Education

PhD (expected finished year 2027)

University of Science and Technology of China, China 2021 - 2023
(2 years)

Publications

[Under Review] A Systematic Review of Deep Learning-based Research on Radiology Report Generation

arXiv
This paper surveys the radiology report generation task with respect to the method categories, datasets, evaluation metrics, result analyses, discussion of limitations, and futuristic development direction. The original paper is available at: https://arxiv.org/abs/2311.14199.

[Under Review] Late-Constraint Diffusion Guidance for Controllable Image Synthesis

arXiv
The core purpose of this study is to utilize a lightweight condition adapter to change the sampling process of diffusion models with external conditions, similar to ControlNet. Experiments and analyses illustrate that the proposed method demonstrate superior efficiency and proficiency when handling conditional image generation. The original paper is available at: https://arxiv.org/abs/2305.11520.

[Under Review] Towards Interactive Image Inpainting via Robust Sketch Refinement

arXiv
The core purpose of this study is to utilize user-drawn sketches to guide the image inpainting process. Since user sketches can be inaccurate, we propose an automatic sketch simulation strategy and a sketch refinement network to calibrate sketches, ensuring the inpainting process to be guided more precisely. The original paper is available at: https://arxiv.org/abs/2306.00407.

[AAAI 2024] Bootstrapping Large Language Models for Radiology Report Generation

The MIT Press
The core purpose of this study is to propose a specific paradigm for large language models (LLM) fine-tuning, so that we can bootstrap LLMs from the general domain to the medical domain. Once transferred to the medical domain, the astonishing generation ability of LLM enables itself to produce elaborated radiology reports for medical usage. The original paper is available at: https://ojs.aaai.org/index.php/AAAI/article/view/29826.

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