Single-cell Curriculum Learning-based Deep Graph Embedding Clustering. - Huifa Li; Jie Fu; Xinpeng Ling; Zhiyu Sun; Kuncan Wang; Zhili Chen (BIBM, 2024)

DP-DCAN: Differentially Private Deep Contrastive Autoencoder Network for Single-Cell Clustering. - Huifa Li; Jie Fu 003; Zhili Chen; Xiaomin Yang; Haitao Liu; Xinpeng Ling (ICIC (LNBI 1), 2024)

FedFDP: Federated Learning with Fairness and Differential Privacy. - Xinpeng Ling; Jie Fu 003; Zhili Chen; Kuncan Wang; Huifa Li; Tong Cheng; Guanying Xu; Qin Li (CoRR, 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)

EC-LDA : Label Distribution Inference Attack against Federated Graph Learning with Embedding Compression. - Tong Cheng; Jie Fu 003; Xinpeng Ling; Huifa Li; Zhili Chen (CoRR, 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, 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; et al. (CoRR, 2025)

scAGC: Learning Adaptive Cell Graphs with Contrastive Guidance for Single-Cell Clustering. - Huifa Li; Jie Fu 003; Xinlin Zhuang; Haolin Yang; Xinpeng Ling; Tong Cheng; Haochen Xue; Imran Razzak; Zhili Chen (CoRR, 2025)