Xingye Chen

I am currently a master student at Huazhong University of Science and Technology (HUST), an enthusiastic Algorithm Engineer on a mission to revolutionize the realms of AI, computer vision, and deep learning. My journey in technology is fueled by an insatiable curiosity and a relentless drive to explore the uncharted territories of innovation. My research interests include few-shot learning, 3D point cloud learning, vision-language models, and multimodal large language models.

During my internship, I worked as an Algorithm Application Engineer at JD Retail, JD.COM, where I collaborated with Dr. Wei Feng on developing cutting-edge advertising image generation algorithms based on Click-Through Rate (CTR) optimization. This experience enabled me to apply deep learning techniques in real-world scenarios and contribute to improving advertising effectiveness through innovative computer vision solutions.

News

Jan 20, 2025	One paper on advertising image generation was accepted to WWW’25.
Oct 17, 2024	One paper on few-shot learning was accepted to PR’25.
Jun 18, 2024	Started a Research Internship at JD.COM.
Feb 02, 2024	One paper on 3D point cloud keypoints generation was accepted to NN’24.
Nov 01, 2022	I was awarded the Huawei Research Innovation Scholarship.
Jun 15, 2022	We won the Global First Prize in Huawei ICT Competition Global Finals!
Dec 20, 2021	We won the National First Prize in Huawei China University ICT Competition National Finals!
Dec 05, 2021	We ranked National 15th Place in the CCF Big Data and Computational Intelligence Competition.
Dec 01, 2020	I was awarded the President’s Scholarship at China University of Geosciences.

Selected Publications

WWW

CTR-Driven Advertising Image Generation with Multimodal Large Language Models

Xingye Chen, Wei Feng, Zhenbang Du, Weizhen Wang, Yanyin Chen, Haohan Wang, Linkai Liu, Yaoyu Li, Jinyuan Zhao, Yu Li, and others

International World Wide Web Conference (WWW), 2025

CCF Rank-A arXiv Bib Code

CCF Rank-A

@article{chen2025ctr,
  title = {CTR-Driven Advertising Image Generation with Multimodal Large Language Models},
  author = {Chen, Xingye and Feng, Wei and Du, Zhenbang and Wang, Weizhen and Chen, Yanyin and Wang, Haohan and Liu, Linkai and Li, Yaoyu and Zhao, Jinyuan and Li, Yu and others},
  journal = {International World Wide Web Conference},
  year = {2025},
}

Exploring Sample Relationship for Few-shot Classification

Xingye Chen, Wenxiao Wu, Li Ma, Xinge You, Changxin Gao, Nong Sang, and Yuanjie Shao

Pattern Recognition (PR), 2025

SCI, IF=7.6, CCF Rank-B Bib Code

SCI, IF=7.6, CCF Rank-B

@article{chen2025exploring,
  title = {Exploring Sample Relationship for Few-shot Classification},
  author = {Chen, Xingye and Wu, Wenxiao and Ma, Li and You, Xinge and Gao, Changxin and Sang, Nong and Shao, Yuanjie},
  journal = {Pattern Recognition},
  volume = {159},
  pages = {111089},
  year = {2025},
  publisher = {Elsevier},
}

Unsupervised Distribution-aware Keypoints Generation from 3D Point Clouds

Yiqi Wu, Xingye Chen, Xuan Huang, Kelin Song, and Dejun Zhang

Neural Networks (NN), 2024

SCI, IF=7.9, CCF Rank-B Bib Code

SCI, IF=7.9, CCF Rank-B

@article{wu2024unsupervised,
  title = {Unsupervised Distribution-aware Keypoints Generation from 3D Point Clouds},
  author = {Wu, Yiqi and Chen, Xingye and Huang, Xuan and Song, Kelin and Zhang, Dejun},
  journal = {Neural Networks},
  volume = {173},
  pages = {106158},
  year = {2024},
  publisher = {Elsevier},
}

Symmetry

PointSCNet: Point Cloud Structure and Correlation Learning based on Space-filling Curve-guided Sampling

Xingye Chen, Yiqi Wu, Wenjie Xu, Jin Li, Huaiyi Dong, and Yilin Chen

Symmetry (Symmetry), 2021

SCI arXiv Bib Code

SCI

@article{chen2021pointscnet,
  title = {PointSCNet: Point Cloud Structure and Correlation Learning based on Space-filling Curve-guided Sampling},
  author = {Chen, Xingye and Wu, Yiqi and Xu, Wenjie and Li, Jin and Dong, Huaiyi and Chen, Yilin},
  journal = {Symmetry},
  volume = {14},
  number = {1},
  pages = {8},
  year = {2021},
  publisher = {MDPI},
}