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πŸ‘‹ Hi there!

I’m Xingye Chen, an enthusiastic Algorithm Engineer on a mission to revolutionize the realms of AI, computer vision, and machine learning. My journey in technology is fueled by an insatiable curiosity and a relentless drive to explore the uncharted territories of innovation.

🌟 Current Endeavors

πŸš€ Pushing Boundaries: Crafting cutting-edge algorithms for Few-shot Learning, 3D Point Cloud Learning, and Visual Language Models.
πŸ”¬ Researching at Huazhong University of Science and Technology: Delving deep into the frontiers of AI technologies to uncover new possibilities.

🀝 Seeking Collaboration

🌐 Join Forces: Let's team up on groundbreaking research projects in computer vision, deep learning, and AI-driven solutions.
🌍 Real-World Impact: I’m keen on innovative applications that harness AI for transformative real-world impact, especially in unsupervised learning and 3D shape analysis.

πŸ… Honors & Accolades

  • πŸ₯‡ Huawei ICT Competition Global Finals: Global First Prize, 2022
  • πŸ₯‡ Huawei China University ICT Competition National Finals: National First Prize, 2021
  • πŸ… CCF Big Data and Computational Intelligence Competition: National 15th Place, 2021
  • πŸ’‘ Huawei Research Innovation Scholarship, 2022
  • πŸŽ“ President’s Scholarship, China University of Geosciences, 2020

🌐 Let's Connect

Feel free to dive into my projects and reach out if you’re interested in collaboration or just want to chat about the latest advancements in AI and machine learning. Together, we can push the boundaries of what’s possible!

Xingye Chen's Projects

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[CVPR 2024] Validation-free few-shot adaptation of CLIP, using a well-initialized Linear Probe (ZSLP) and class-adaptive constraints (CLAP).

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Code Release of Unsupervised Distribution-aware Keypoints Generation from 3D Point Clouds

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Code Release of PointSCNet: Point Cloud Structure and Correlation Learning based on Space Filling Curve guided Sampling

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Code Release of Exploring Sample Relationship for Few-Shot Classification

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