CIC-FL: Enabling Class Imbalance-Aware Clustered Federated Learning over Shifted Distributions. - Yanan Fu; Xuefeng Liu 001; Shaojie Tang 001; Jianwei Niu 002; Zhangmin Huang (DASFAA (1), 2021)

pFedGF: Enabling Personalized Federated Learning via Gradient Fusion. - Xinghao Wu; Jianwei Niu 002; Xuefeng Liu 001; Tao Ren 001; Zhangmin Huang; Zhetao Li (IPDPS, 2022)

Deep Metric Multi-View Hashing for Multimedia Retrieval. - Jian Zhu; Xiaohu Ruan; Yongli Cheng; Zhangmin Huang; Yu Cui; Lingfang Zeng (ICME, 2023)

CLIP Multi-modal Hashing: A new baseline CLIPMH. - Jian Zhu; Mingkai Sheng; Mingda Ke; Zhangmin Huang; Jingfei Chang (CoRR, 2023)

Adaptive Confidence Multi-View Hashing for Multimedia Retrieval. - Jian Zhu; Yu Cui; Zhangmin Huang; Xingyu Li; Lei Liu 029; Lingfang Zeng; Li-Rong Dai (ICASSP, 2024)

Deep Mamba Multi-modal Learning. - Jian Zhu; Xin Zou; Yu Cui; Zhangmin Huang; Chenshu Hu; Bo Lyu (CoRR, 2024)

Boosted Curriculum Multi-View Hashing for Multimedia Retrieval. - Jian Zhu; Zhangmin Huang; Lei Liu 029; Chang Tang; Li-Rong Dai 001 (IEEE Signal Process. Lett., 2024)

Trusted Mamba Contrastive Network for Multi-View Clustering. - Jian Zhu; Xin Zou 001; Lei Liu 029; Zhangmin Huang; Ying Zhang; Chang Tang; Li-Rong Dai 001 (ICASSP, 2025)

Dynamic SRM Curriculum for Trustworthy Multi-modal Classification. - Jian Zhu; Cui Yu; Xin Zou 001; Zhangmin Huang; Chenshu Hu; Jun Sun; Bo Lyu; Lei Liu 029; Chang Tang; Li-Rong Dai 001 (ICASSP, 2025)

CLIP Multi-modal Hashing for Multimedia Retrieval. - Jian Zhu; Mingkai Sheng; Zhangmin Huang; Jingfei Chang; Jinling Jiang; Jian Long; Cheng Luo; Lei Liu 029 (MMM (1), 2025)