Huifa Li

According to our database, Huifa Li authored at least 13 papers between 2024 and 2026.

Collaborative distances:

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

2026

FedCD: Towards Consolidated Distillation for Heterogeneous Federated Learning.

Yichen Li, Hang Su, Huifa Li, Haolin Yang, Xinlin Zhuang, Haochen Xue, Haozhao Wang, Imran Razzak

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

CHIPS: Efficient CLIP Adaptation via Curvature-aware Hybrid Influence-based Data Selection.

Xinlin Zhuang, Yichen Li, Xiwei Liu, Haolin Yang, Yifan Lu, Ziyun Zou, Yulong Li, Huifa Li, Dongliang Chen, Qinglei Wang, Weiyang Liu, Ying Qian, Jiangming Shi, Imran Razzak

CoRR, November, 2025

Phenome-Wide Multi-Omics Integration Uncovers Distinct Archetypes of Human Aging.

Huifa Li, Feilong Tang, Haochen Xue, Yulong Li, Xinlin Zhuang, Bin Zhang, Eran Segal, Imran Razzak

CoRR, October, 2025

Towards Robust Visual Continual Learning with Multi-Prototype Supervision.

Xiwei Liu, Yulong Li, Yichen Li, Xinlin Zhuang, Haolin Yang, Huifa Li, Imran Razzak

CoRR, September, 2025

scAGC: Learning Adaptive Cell Graphs with Contrastive Guidance for Single-Cell Clustering.

Huifa Li, Jie Fu, Xinlin Zhuang, Haolin Yang, Xinpeng Ling, Tong Cheng, Haochen Xue, Imran Razzak, Zhili Chen

CoRR, August, 2025

StreamAgent: Towards Anticipatory Agents for Streaming Video Understanding.

Haolin Yang, Feilong Tang, Linxiao Zhao, Xiang An, Ming Hu, Huifa Li, Xinlin Zhuang, Boqian Wang, Yifan Lu, Xiaofeng Zhang, Abdalla Swikir, Junjun He, Zongyuan Ge, Imran Razzak

CoRR, August, 2025

Towards Efficient Medical Reasoning with Minimal Fine-Tuning Data.

Xinlin Zhuang, Feilong Tang, Haolin Yang, Ming Hu, Huifa Li, Haochen Xue, Yichen Li, Junjun He, Zongyuan Ge, Ying Qian, Imran Razzak

CoRR, August, 2025

EC-LDA : Label Distribution Inference Attack against Federated Graph Learning with Embedding Compression.

Tong Cheng, Jie Fu, Xinpeng Ling, Huifa Li, Zhili Chen

CoRR, May, 2025

EC-LDA: Label Distribution Inference Attack Against Federated Graph Learning with Embedding Compression.

Tong Cheng, Jie Fu, Xinpeng Ling, Huifa Li, Zhili Chen, Haifeng Qian, Junqing Gong

Proceedings of the IEEE International Conference on Data Mining, 2025

2024

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference.

Benchang Dong, Zhili Chen, Xin Chen, Shiwen Wei, Jie Fu, Huifa Li

CoRR, 2024

FedFDP: Federated Learning with Fairness and Differential Privacy.

Xinpeng Ling, Jie Fu, Zhili Chen, Kuncan Wang, Huifa Li, Tong Cheng, Guanying Xu, Qin Li

CoRR, 2024

DP-DCAN: Differentially Private Deep Contrastive Autoencoder Network for Single-Cell Clustering.

Huifa Li, Jie Fu, Zhili Chen, Xiaomin Yang, Haitao Liu, Xinpeng Ling

Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024

Single-cell Curriculum Learning-based Deep Graph Embedding Clustering.

Huifa Li, Jie Fu, Xinpeng Ling, Zhiyu Sun, Kuncan Wang, Zhili Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024