Selective Publications

Please refer to [Google Scholar] for the complete list.
(# denotes equal contribution, * denotes corresponding author)

  Generative Models

• Riemannian MeanFlow for One-Step Generation on Manifolds [arXiv] [Code]
  Zichen Zhong, Haoliang Sun, Yukun Zhao, Yongshun Gong, Yilong Yin
  In proc. of International Conference on Machine Learning (ICML), 2026.

• DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer [arXiv] [Code]
  Haoliang Sun, Ronak Mehta, Hao H. Zhou, Zhichun Huang, Sterling C. Johnson, Vivek Prabhakaran, Vikas Singh
  In proc. of IEEE International Conference on Computer Vision (ICCV), 2019.

  Robust Learning with Noisy Labels

• Variational Rectification Inference for Learning with Noisy Labels [URL][Code]
  Haoliang Sun#, Qi Wei#, Lei Feng, Yupeng Hu, Fan Liu, Hehe Fan, Yilong Yin
  International Journal of Computer Vision (IJCV), 2024.

• 面向标签噪声学习的联合训练框架 [URL]
  魏琦, 孙皓亮*, 马玉玲，尹义龙
  中国科学:信息科学, 2024.

• Fine-Grained Classification with Noisy Labels [arXiv]
  Qi Wei, Lei Feng, Haoliang Sun*, Ren Wang, Chenhui Guo, Yilong Yin
  In proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

• Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization [arXiv]
  Qi Wei, Haoliang Sun*, Xiankai Lu, Yilong Yin
  In proc. of European Conference on Computer Vision (ECCV), 2022.

• Learning to Rectify for Robust Learning with Noisy Labels [arXiv] [Code]
  Haoliang Sun#, Chenhui Guo#, Qi Wei, Zhongyi Han, and Yilong Yin
  Pattern Recognition (PR), 2021.

  Learning in A Dynamic Environment

• SeqMvRL: A Sequential Fusion Framework for Multi-view Representation Learning [URL]
  Ren Wang, Haoliang Sun, Yuxiu Lin, Chuanhui Zuo, Yongshun Gong, Yilong Yin, Wenjia Meng
  In proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

• Learning Sample-Aware Threshold for Semi-Supervised Learning [URL]
  Qi Wei, Lei Feng, Haoliang Sun*, Ren Wang, Rundong He, Yilong Yin
  Machine Learning, 2024 (ACML23 Journal Track).

• Attentional Prototype Inference for Few-Shot Segmentation [arXiv] [Code]
  Haoliang Sun, Xiankai Lu, Haochen Wang, Yilong Yin, Xiantong Zhen, Cees G. M. Snoek, Ling Shao
  Pattern Recognition (PR), 2023.

• MetaViewer: Towards A Unified Multi-View Representation [arXiv]
  Ren Wang, Haoliang Sun*, Yuling Ma, Xiaoming Xi, Yilong Yin
  In proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

• MetaKernel: Learning Variational Random Features with Limited Labels [arXiv]
  Yingjun Du, Haoliang Sun, Xiantong Zhen, Jun Xu, Yilong Yin, Ling Shao, Cees GM Snoek
  IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2022.

• SNIP-FSL: Finding Task-Specific Lottery Jackpots for Few-Shot Learning [URL]
  Ren Wang, Haoliang Sun, Xiushan Nie, Yilong Yin
  Knowledge-Based Systems (KBS), 2022.

• Learning to Learn Kernels with Variational Random Features [arXiv [Code]
  Xiantong Zhen#, Haoliang Sun#, Yingjun Du#, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek
  In proc. of International Conference on Machine Learning (ICML), 2020.

  Kernel Methods

• Learning the Set Graphs: Image-Set Classification Using Sparse Graph Convolutional Networks [arXiv]
  Haoliang Sun, Xiantong Zhen, and Yilong Yin
  In proc. of IEEE International Conference on Image Processing (ICIP), 2019.

• Learning Deep Match Kernels for Image-Set Classification [pdf]
  Haoliang Sun, Xiantong Zhen, Yuanjie Zheng, Gongping Yang, Yilong Yin, and Shuo Li
  In proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

• Directly Estimating Spinal Cobb Angles by Structured Multi-Output Regression [arXiv]
  Haoliang Sun, Xiantong Zhen, Chris Bailey, Parham Rasoulinejad, Yilong Yin, and Shuo Li
  International Conference on Information Processing in Medical Imaging (Oral Paper, IPMI), 2017.