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I am a Computer Science master's student in at the CAD Research Center, Tongji University. My research interests focus on 3D Vision(Multimodal, 3DGS, Multi View Stereo, etc). If you find any research interests that we might share, feel free to drop me an email. I am always open to potential collaborations. 中文 / English / 日本語 |
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I am a M.Sc student in Computer Science at CAD Research Center, Tongji University, where I am honored to be advised by assoc. prof. Gang Wei. Before that, I received my B.Sc degree in Computing Science at Hohai University in 2022, and I received the honour of being the Charming Graduate of Hohai University. I am the former captain of the ACM team at Hohai University, I have chaired the 10th and 11th Hohai University ACM Programming Competition. Also, I ran hohai online judge website for a year. I am a former OIer at JiangSu DaFeng Senior High School, during that time, I became interested in computer science. I was born on May 21th, 2000 in Yancheng, China. My hometown is on the shores of the Yellow Sea, with a national nature reserve, also known as the home of the moose. |
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Much of my research is about inferring the physical world (shape, motion, color, light, etc) from images and 3D raw data. Representative papers are highlighted. |
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RE0: Recognize Everything with 3D Zero-shot Open-Vocabulary Instance Segmentation
Xiaohan Yan, Zijian Jiang, Yinghao Shuai, Nan Wang, Xiaowei Song ICRA, 2025 We leverage the 3D geometry information and the semantic features to address the challenge of 3D instance segmentation. |
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Semantic-Guided Gaussian Splatting
with Deferred Rendering
Nan Wang, Xiaohan Yan, Xiaowei Song, Zhicheng Wang ICASSP, 2025 We use semantic features derived from 2D foundation model to revolutionize the material property optimization for 3DGS. |
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AttenPoint: Exploring Point Cloud Segmentation through Attention-Based Modules
Xiaohan Yan, Nan Wang, Xiaowei Song PRCV, 2024 [paper] We combine local and global features of the structures and performance to perform few-shot point cloud semantic segmentation. |
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GreedyAgent:A Simple yet Efficient Approach for Meta-learning from Learning Curves
Jinyu He, Xiaowei Song, Xiaohan Yan, Nan Wang, ICIC, 2024, oral [paper] / [code] A key sub-problem: meta-learning from learning curves is an mature but gradually attention area within the field of meta-learning. |
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Anatomical Structure-Guided Medical Vision-Language Pre-training
Qingqiu Li, Xiaohan Yan MICCAI, 2024 [paper] / [code] We propose an Anatomical Structure-Guided (ASG) framework to solve some problems in medical imaging through training multimodal model. |
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LLM Science Exam - Use LLMs to answer difficult science questions
Xiaohan Yan, Nan Wang, Xiaowei Song, Jinyu He Kaggle, 2023, Code
This competition is about fine-tuning large language models on private datasets. |
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eScape - Game Off 2023
Origami-hui Xiaohan Yan GameJam, 2023, Page
Scale your device and escape from this geometry storm. |
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| 🇨🇳 - Most of the awards I won during my student years. |
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| 🇨🇳 - The 2019 ICPC Asia-East Continetnt Final - Bronze Medal |
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| 🇨🇳 - Jiangsu Collegiate Programming Contest - Silver Modal 2nd place |
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| Last updated on 2025/1/15 |