Yunfan Li

According to our database, Yunfan Li authored at least 20 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Risk-Aware Medical Question Answering as a Reliability-Critical Decision Process.

Yueqin Luo, Yunfan Li

Proceedings of the 2026 International Conference on Multimedia Retrieval, 2026

2025

Conditional Representation Learning for Customized Tasks.

Honglin Liu, Chao Sun, Peng Hu, Yunfan Li, Xi Peng

CoRR, October, 2025

DUDE: Diffusion-Based Unsupervised Cross-Domain Image Retrieval.

Ruohong Yang, Peng Hu, Yunfan Li, Xi Peng

CoRR, September, 2025

Probabilistic Multimodal Learning with von Mises-Fisher Distributions.

Peng Hu, Yang Qin, Yuanbiao Gou, Yunfan Li, Mouxing Yang, Xi Peng

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

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

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

IEEE Trans. Neural Networks Learn. Syst., August, 2024

Cross-Modal Retrieval With Noisy Correspondence via Consistency Refining and Mining.

Xinran Ma, Mouxing Yang, Yunfan Li, Peng Hu, Jiancheng Lv, Xi Peng

IEEE Trans. Image Process., 2024

DiFiC: Your Diffusion Model Holds the Secret to Fine-Grained Clustering.

Ruohong Yang, Peng Hu, Xi Peng, Xiting Liu, Yunfan Li

CoRR, 2024

A Survey on Deep Clustering: From the Prior Perspective.

Yiding Lu, Haobin Li, Yunfan Li, Yijie Lin, Xi Peng

CoRR, 2024

Interactive Deep Clustering via Value Mining.

Honglin Liu, Peng Hu, Changqing Zhang, Yunfan Li, Xi Peng

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Image Clustering with External Guidance.

Yunfan Li, Peng Hu, Dezhong Peng, Jiancheng Lv, Jianping Fan, Xi Peng

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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, Jiancheng Lv

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Test-time Adaptation against Multi-modal Reliability Bias.

Mouxing Yang, Yunfan Li, Changqing Zhang, Peng Hu, Xi Peng

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Robust Multi-View Clustering With Incomplete Information.

Mouxing Yang, Yunfan Li, Peng Hu, Jinfeng Bai, Jiancheng Lv, Xi Peng

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Incomplete Multi-view Clustering via Prototype-based Imputation.

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

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

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

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

XAI Beyond Classification: Interpretable Neural Clustering.

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

J. Mach. Learn. Res., 2022

Twin Contrastive Learning for Online Clustering.

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

Int. J. Comput. Vis., 2022

Deep Fair Clustering via Maximizing and Minimizing Mutual Information.

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

CoRR, 2022

2021

Partially View-Aligned Representation Learning With Noise-Robust Contrastive Loss.

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Contrastive Clustering.

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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021