Publications

2023

1. NatComm

   scBridge embraces cell heterogeneity in single-cell RNA-seq and ATAC-seq data integration

   Yunfan Li*, Dan Zhang*, Mouxing Yang, Dezhong Peng, Jun Yu, Yu Liu, Jiancheng Lv, Lu Chen, and Xi Peng

   Nature Communications, 2023

   Bib PDF Code

   @article{li2023scbridge,
     title = {scBridge embraces cell heterogeneity in single-cell RNA-seq and ATAC-seq data integration},
     author = {Li*, Yunfan and Zhang*, Dan and Yang, Mouxing and Peng, Dezhong and Yu, Jun and Liu, Yu and Lv, Jiancheng and Chen, Lu and Peng, Xi},
     journal = {Nature Communications},
     volume = {14},
     number = {1},
     pages = {6045},
     year = {2023},
     publisher = {Nature Publishing Group UK London},
   }

2. IJCAI

   Incomplete Multi-view Clustering via Prototype-based Imputation

   Haobin Li*, Yunfan Li*, Mouxing Yang, Peng Hu, Dezhong Peng, and Xi Peng

   International Joint Conference on Artificial Intelligence, 2023

   Bib PDF

   @article{Li_IJCAI2023_ProIMP,
     title = {Incomplete Multi-view Clustering via Prototype-based Imputation},
     author = {Li*, Haobin and Li*, Yunfan and Yang, Mouxing and Hu, Peng and Peng, Dezhong and Peng, Xi},
     journal = {International Joint Conference on Artificial Intelligence},
     year = {2023},
     publisher = {},
   }

3. TNNLS

   Single-Cell RNA-Seq Debiased Clustering via Batch Effect Disentanglement

   Yunfan Li, Yijie Lin, Peng Hu, Dezhong Peng, Han Luo, and Xi Peng

   IEEE Transactions on Neural Networks and Learning Systems, 2023

   Bib PDF

   @article{Li_TNNLS2023_SCDC,
     title = {Single-Cell RNA-Seq Debiased Clustering via Batch Effect Disentanglement},
     author = {Li, Yunfan and Lin, Yijie and Hu, Peng and Peng, Dezhong and Luo, Han and Peng, Xi},
     journal = {IEEE Transactions on Neural Networks and Learning Systems},
     year = {2023},
     publisher = {IEEE},
   }

4. CVPR

   Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric

   Pengxin Zeng*, Yunfan Li*, Peng Hu, Dezhong Peng, Jiancheng Lv, and Xi Peng

   IEEE Conference on Computer Vision and Pattern Recognition, 2023

   Bib PDF Code

   @article{Zeng_CVPR2023_FCMI,
     title = {Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric},
     author = {Zeng*, Pengxin and Li*, Yunfan and Hu, Peng and Peng, Dezhong and Lv, Jiancheng and Peng, Xi},
     journal = {IEEE Conference on Computer Vision and Pattern Recognition},
     volume = {},
     number = {},
     pages = {23986--23995},
     year = {2023},
   }

2022

1. IJCV

   Twin Contrastive Learning for Online Clustering

   Yunfan Li, Mouxing Yang, Dezhong Peng, Taihao Li, Jiantao Huang, and Xi Peng

   International Journal of Computer Vision, 2022

   Bib PDF Code

   @article{Li_IJCV2022_TCL,
     title = {Twin Contrastive Learning for Online Clustering},
     author = {Li, Yunfan and Yang, Mouxing and Peng, Dezhong and Li, Taihao and Huang, Jiantao and Peng, Xi},
     journal = {International Journal of Computer Vision},
     volume = {130},
     number = {9},
     pages = {2205--2221},
     year = {2022},
     publisher = {Springer},
   }

2. TPAMI

   Robust Multi-view Clustering with Incomplete Information

   Mouxing Yang, Yunfan Li, Peng Hu, Jinfeng Bai, JianCheng Lv, and Xi Peng

   IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022

   Bib PDF Code

   @article{Yang_TPAMI2022_SURE,
     title = {Robust Multi-view Clustering with Incomplete Information},
     author = {Yang, Mouxing and Li, Yunfan and Hu, Peng and Bai, Jinfeng and Lv, JianCheng and Peng, Xi},
     journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
     volume = {45},
     number = {1},
     pages = {1055--1069},
     year = {2022},
     publisher = {IEEE},
   }

3. JMLR

   XAI Beyond Classification:Interpretable Neural Clustering

   Xi Peng, Yunfan Li, Ivor Tsang, Joey Tianyi Zhou, Hongyuan Zhu, and Jiancheng Lv

   Joural of Machine Learning Research, 2022

   Bib PDF Code

   @article{Peng_JMLR2022_TELL,
     title = {XAI Beyond Classification:Interpretable Neural Clustering},
     author = {Peng, Xi and Li, Yunfan and Tsang, Ivor and Zhou, Joey Tianyi and Zhu, Hongyuan and Lv, Jiancheng},
     journal = {Joural of Machine Learning Research},
     volume = {23},
     number = {1},
     pages = {227--254},
     year = {2022},
     publisher = {JMLRORG},
   }

2021

1. CVPR

   Partially View-aligned Representation Learning with Noise-robust Contrastive Loss

   Mouxing Yang, Yunfan Li, Zhenyu Huang, Zitao Liu, Peng Hu, and Xi Peng

   IEEE Conference on Computer Vision and Pattern Recognition, 2021

   Bib PDF Code

   @article{Yang_CVPR2021_MvCLN,
     title = {Partially View-aligned Representation Learning with Noise-robust Contrastive Loss},
     author = {Yang, Mouxing and Li, Yunfan and Huang, Zhenyu and Liu, Zitao and Hu, Peng and Peng, Xi},
     journal = {IEEE Conference on Computer Vision and Pattern Recognition},
     volume = {},
     number = {},
     pages = {1134--1143},
     year = {2021},
   }

2. AAAI

   Contrastive Clustering

   Yunfan Li, Peng Hu, Zitao Liu, Dezhong Peng, Joey Tianyi Zhou, and Xi Peng

   AAAI Conference on Artificial Intelligence, 2021

   Bib PDF Code

   @article{Li_AAAI2021_CC,
     title = {Contrastive Clustering},
     author = {Li, Yunfan and Hu, Peng and Liu, Zitao and Peng, Dezhong and Zhou, Joey Tianyi and Peng, Xi},
     journal = {AAAI Conference on Artificial Intelligence},
     volume = {35},
     number = {10},
     pages = {8547--8555},
     year = {2021},
   }