@article{Li_ICML2024_TAC,title={Image Clustering with External Guidance},author={Li, Yunfan and Hu, Peng and Peng, Dezhong and Lv, Jiancheng and Fan, Jianping and Peng, Xi},journal={International Conference on Machine Learning},year={2024},}
ICME
An Empirical Study of Parameter Efficient Fine-tuning on Vision-Language Pre-train Model
Yuxin Tian, Mouxing Yang, Yunfan Li, Dayiheng Liu, Xingzhang Ren, Xi Peng, and Jiancheng Lv
@article{tian2024empirical,title={An Empirical Study of Parameter Efficient Fine-tuning on Vision-Language Pre-train Model},author={Tian, Yuxin and Yang, Mouxing and Li, Yunfan and Liu, Dayiheng and Ren, Xingzhang and Peng, Xi and Lv, Jiancheng},journal={IEEE Conference on Multimedia Expo},year={2024},}
TIP
Cross-modal Retrieval with Noisy Correspondence via Consistency Refining and Mining
Xinran Ma*, Mouxing Yang*, Yunfan Li, Peng Hu, Jiancheng Lv, and Xi Peng
@article{Ma_TIP2024_CREAM,title={Cross-modal Retrieval with Noisy Correspondence via Consistency Refining and Mining},author={Ma*, Xinran and Yang*, Mouxing and Li, Yunfan and Hu, Peng and Lv, Jiancheng and Peng, Xi},journal={IEEE Transactions on Image Processing},year={2024},publisher={IEEE},}
ICLR
Test-time adaption against multi-modal reliability bias
Mouxing Yang, Yunfan Li, Changqing Zhang, Peng Hu, and Xi Peng
International Conference on Learning Representations, 2024
@article{Yang_ICLR2024_READ,title={Test-time adaption against multi-modal reliability bias},author={Yang, Mouxing and Li, Yunfan and Zhang, Changqing and Hu, Peng and Peng, Xi},journal={International Conference on Learning Representations},year={2024},}
2023
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
@article{Li_NatComm2023_scBridge,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},}
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
@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={},}
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
@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},}
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
@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
IJCV
Twin Contrastive Learning for Online Clustering
Yunfan Li, Mouxing Yang, Dezhong Peng, Taihao Li, Jiantao Huang, and Xi Peng
@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},}
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
@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},}
@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
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
@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},}
AAAI
Contrastive Clustering
Yunfan Li, Peng Hu, Zitao Liu, Dezhong Peng, Joey Tianyi Zhou, and Xi Peng
@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},}