publications

2026

1. AsiaCCS

   LotBoNC: Novel Botnet Traffic Classification under Long-tailed Distributions

   Huancheng Hu, Ziyun Li, and Christian Doerr

   In ACM Asia Conference on Computer and Communications Security (AsiaCCS), 2026

   Bib

   @inproceedings{hu2026lotbonc,
     title = {LotBoNC: Novel Botnet Traffic Classification under Long-tailed Distributions},
     author = {Hu, Huancheng and Li, Ziyun and Doerr, Christian},
     booktitle = {ACM Asia Conference on Computer and Communications Security (AsiaCCS)},
     year = {2026},
   }

2025

1. EurIPS

   EnfoPath: Energy-Informed Analysis of Generative Trajectories in Flow Matching

   Ziyun Li, Ben Dai, Huancheng Hu, and 2 more authors

   In EurIPS Workshop, 2025

   Bib

   @inproceedings{li2025enfopath,
     title = {EnfoPath: Energy-Informed Analysis of Generative Trajectories in Flow Matching},
     author = {Li, Ziyun and Dai, Ben and Hu, Huancheng and Boström, Henrik and Lim, Soon Hoe},
     booktitle = {EurIPS Workshop},
     year = {2025},
   }

2. COPA

   FlowGuard: Guarding Flow Matching via Conformal Sampling

   Ziyun Li, and Henrik Boström

   In Conformal and Probabilistic Prediction With Applications (COPA), 2025

   Bib

   @inproceedings{li2025flowguard,
     title = {FlowGuard: Guarding Flow Matching via Conformal Sampling},
     author = {Li, Ziyun and Boström, Henrik},
     booktitle = {Conformal and Probabilistic Prediction With Applications (COPA)},
     year = {2025},
   }

3. OJCOMS

   BoNC: Discovering and Classifying Novel Encrypted Botnet Traffic

   Huancheng Hu, Ziyun Li, and Christian Doerr

   Open Journal of Communication Societies (OJCOMS), 2025

   Bib

   @article{hu2025bonc,
     title = {BoNC: Discovering and Classifying Novel Encrypted Botnet Traffic},
     author = {Hu, Huancheng and Li, Ziyun and Doerr, Christian},
     journal = {Open Journal of Communication Societies (OJCOMS)},
     year = {2025},
   }

4. ICCV

   Q-Norm: Robust Representation Learning via Quality-Adaptive Normalization

   Ying Zhou, Lanning Zhang, Fei Gao, Ziyun Li, Maoying Qiao, Jinlan Xu, and Nannan Wang

   In International Conference on Computer Vision (ICCV), 2025

   Bib

   @inproceedings{zhou2025qnorm,
     title = {Q-Norm: Robust Representation Learning via Quality-Adaptive Normalization},
     author = {Zhou, Ying and Zhang, Lanning and Gao, Fei and Li, Ziyun and Qiao, Maoying and Xu, Jinlan and Wang, Nannan},
     booktitle = {International Conference on Computer Vision (ICCV)},
     year = {2025},
     url = {https://openreview.net/pdf?id=n9hVZyT2po}
   }

5. ACMM

   CADQ: Attribute-Consistent Face Cartoonization with Cross-modal Aligned and Deformable Quantization

   Yongjie Hu, Yifan Jiang, Ziyun Li, and 3 more authors

   In ACM International Conference on Multimedia, 2025

   Bib

   @inproceedings{hu2025adq,
     title = {CADQ: Attribute-Consistent Face Cartoonization with Cross-modal Aligned and Deformable Quantization},
     author = {Hu, Yongjie and Jiang, Yifan and Li, Ziyun and Gao, Fei and Boström, Henrik and Wang, Nannan},
     booktitle = {ACM International Conference on Multimedia},
     year = {2025},
     url = {https://openreview.net/forum?id=ugVxtxXM9A}
   }

6. AAAI

   QuARF: Quality-Adaptive Receptive Fields for Degraded Image Perception

   Fei Gao, Ying Zhou, Ziyun Li, and 5 more authors

   AAAI Conference on Artificial Intelligence, 2025

   Bib

   @article{gao2025quarf,
     title = {QuARF: Quality-Adaptive Receptive Fields for Degraded Image Perception},
     author = {Gao, Fei and Zhou, Ying and Li, Ziyun and Han, Wenwang and Shi, Jiaqi and Qiao, Maoying and Xu, Jinlan and Wang, Nannan},
     journal = {AAAI Conference on Artificial Intelligence},
     year = {2025},
   }

7. TIP

   S^3OIL: Semi-Supervised SAR-to-Optical Image Translation via Multi-Scale and Cross-Set Matching

   Xi Yang, Haoyuan Shi, Ziyun Li, and 3 more authors

   IEEE Transactions on Image Processing, 2025

   Bib

   @article{yang2025s3oil,
     title = {S$^3$OIL: Semi-Supervised SAR-to-Optical Image Translation via Multi-Scale and Cross-Set Matching},
     author = {Yang, Xi and Shi, Haoyuan and Li, Ziyun and Qiao, Maoying and Gao, Fei and Wang, Nannan},
     journal = {IEEE Transactions on Image Processing},
     year = {2025},
   }

8. ICME

   BI-RADS Boosted Breast Cancer Diagnosis With Masked Pretraining On Imbalanced Ultrasound Data

   Xueqian Pang, Ziyun Li, Junhui Lv, and 3 more authors

   In IEEE International Conference on Multimedia and Expo (ICME), 2025

   Bib

   @inproceedings{pang2025birads,
     title = {BI-RADS Boosted Breast Cancer Diagnosis With Masked Pretraining On Imbalanced Ultrasound Data},
     author = {Pang, Xueqian and Li, Ziyun and Lv, Junhui and Ge, Ruiquan and Wu, Zhuoxuan and Gao, Fei},
     booktitle = {IEEE International Conference on Multimedia and Expo (ICME)},
     year = {2025},
   }

9. arXiv

   FlowTS: Time Series Generation via Rectified Flow

   Yang Hu, Xiao Wang, Zezhen Ding, Lirong Wu, Huatian Zhang, Stan Z. Li, Sheng Wang, Jiheng Zhang, Ziyun Li, and Tianlong Chen

   arXiv preprint, 2025

   Co-corresponding author

   Bib

   @article{hu2025flowts,
     title = {FlowTS: Time Series Generation via Rectified Flow},
     author = {Hu, Yang and Wang, Xiao and Ding, Zezhen and Wu, Lirong and Zhang, Huatian and Li, Stan Z. and Wang, Sheng and Zhang, Jiheng and Li, Ziyun and Chen, Tianlong},
     journal = {arXiv preprint},
     year = {2025},
     note = {Co-corresponding author}
   }

2024

1. IJCNN

   Otem-IGCD: An Optimal Transport-based EM Framework for Imbalanced Generalized Category Discovery

   Ziyun Li, Ben Dai, Christoph Meinel, and 1 more author

   In International Joint Conference on Neural Networks (IJCNN), 2024

   Oral

   Bib

   @inproceedings{li2024otem,
     title = {Otem-IGCD: An Optimal Transport-based EM Framework for Imbalanced Generalized Category Discovery},
     author = {Li, Ziyun and Dai, Ben and Meinel, Christoph and Yang, Haojin},
     booktitle = {International Joint Conference on Neural Networks (IJCNN)},
     year = {2024},
     note = {Oral}
   }

2023

1. TMLR

   Supervised Knowledge May Hurt Novel Class Discovery Performance

   Ziyun Li, Jona Otholt, Ben Dai, and 3 more authors

   Transactions on Machine Learning Research, 2023

   CoLLAs Reward

   Bib

   @article{li2023supervised,
     title = {Supervised Knowledge May Hurt Novel Class Discovery Performance},
     author = {Li, Ziyun and Otholt, Jona and Dai, Ben and Hu, Di and Meinel, Christoph and Yang, Haojin},
     journal = {Transactions on Machine Learning Research},
     year = {2023},
     note = {CoLLAs Reward}
   }

2. ICCV

   Generalized Categories Discovery for Long-tailed Recognition

   Ziyun Li, Christoph Meinel, and Haojin Yang

   In Workshop on Out-of-distribution Generalization in Computer Vision, ICCV, 2023

   Bib

   @inproceedings{li2023generalized,
     title = {Generalized Categories Discovery for Long-tailed Recognition},
     author = {Li, Ziyun and Meinel, Christoph and Yang, Haojin},
     booktitle = {Workshop on Out-of-distribution Generalization in Computer Vision, ICCV},
     year = {2023},
   }

3. IJCNN

   SMKD: Selective Mutual Knowledge Distillation

   Ziyun Li, Christoph Meinel, Haojin Yang, and 4 more authors

   In International Joint Conference on Neural Networks (IJCNN), 2023

   Oral

   Bib

   @inproceedings{li2023smkd,
     title = {SMKD: Selective Mutual Knowledge Distillation},
     author = {Li, Ziyun and Meinel, Christoph and Yang, Haojin and Wang, Xinshao and Robertson, Neil M. and Clifton, David A. and Hu, Di},
     booktitle = {International Joint Conference on Neural Networks (IJCNN)},
     year = {2023},
     note = {Oral}
   }

4. CVPR

   ImbaGCD: Imbalanced Generalized Category Discovery

   Ziyun Li, Ben Dai, Christoph Meinel, and 1 more author

   In CVPR Workshop, 2023

   Spotlight

   Bib

   @inproceedings{li2023imbagcd,
     title = {ImbaGCD: Imbalanced Generalized Category Discovery},
     author = {Li, Ziyun and Dai, Ben and Meinel, Christoph and Yang, Haojin},
     booktitle = {CVPR Workshop},
     year = {2023},
     note = {Spotlight}
   }

2022

1. NeurIPS

   A Closer Look at Novel Class Discovery from the Labeled Set

   Ziyun Li, Jona Otholt, Ben Dai, and 3 more authors

   In Workshop on Distribution Shifts, NeurIPS, 2022

   Bib

   @inproceedings{li2022closer,
     title = {A Closer Look at Novel Class Discovery from the Labeled Set},
     author = {Li, Ziyun and Otholt, Jona and Dai, Ben and Hu, Di and Meinel, Christoph and Yang, Haojin},
     booktitle = {Workshop on Distribution Shifts, NeurIPS},
     year = {2022},
   }

2. NeurIPS

   Not All Knowledge Is Created Equal: Mutual Distillation of Confident Knowledge

   Ziyun Li, Christoph Meinel, Haojin Yang, and 4 more authors

   In Workshop on Trustworthy and Socially Responsible Machine Learning, NeurIPS, 2022

   Bib

   @inproceedings{li2022not,
     title = {Not All Knowledge Is Created Equal: Mutual Distillation of Confident Knowledge},
     author = {Li, Ziyun and Meinel, Christoph and Yang, Haojin and Wang, Xinshao and Robertson, Neil M. and Clifton, David A. and Hu, Di},
     booktitle = {Workshop on Trustworthy and Socially Responsible Machine Learning, NeurIPS},
     year = {2022},
   }

2019

1. Neurocomputing

   Style-adaptive Photo Aesthetic Rating via Multi-task Learning

   Fei Gao, Ziyun Li, Jun Yu, and 2 more authors

   Neurocomputing, 2019

   Bib

   @article{gao2019style,
     title = {Style-adaptive Photo Aesthetic Rating via Multi-task Learning},
     author = {Gao, Fei and Li, Ziyun and Yu, Jun and Huang, Qingming and Tian, Qi},
     journal = {Neurocomputing},
     year = {2019},
   }

2017

1. ICME

   Convolutional neural networks for intestinal hemorrhage detection in wireless capsule endoscopy images

   Panpeng Li, Ziyun Li, Fei Gao, and 2 more authors

   In IEEE International Conference on Multimedia and Expo (ICME), 2017

   Bib

   @inproceedings{li2017convolutional,
     title = {Convolutional neural networks for intestinal hemorrhage detection in wireless capsule endoscopy images},
     author = {Li, Panpeng and Li, Ziyun and Gao, Fei and Wan, Li and Yu, Jun},
     booktitle = {IEEE International Conference on Multimedia and Expo (ICME)},
     year = {2017},
   }