Lite-Mind: Towards Efficient and Versatile Brain Representation Network. - Zixuan Gong; Qi Zhang 020; Duoqian Miao 001; Guangyin Bao; Liang Hu 004 (CoRR, 2023)

Multimodal Federated Learning with Missing Modality via Prototype Mask and Contrast. - Guangyin Bao; Qi Zhang 020; Duoqian Miao 001; Zixuan Gong; Liang Hu 004 (CoRR, 2023)

Lite-Mind: Towards Efficient and Robust Brain Representation Learning. - Zixuan Gong; Qi Zhang 020; Guangyin Bao; Lei Zhu 002; Yu Zhang 133; Ke Liu; Liang Hu 004; Duoqian Miao 001 (ACM Multimedia, 2024)

NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction. - Zixuan Gong; Guangyin Bao; Qi Zhang 020; Zhongwei Wan; Duoqian Miao 001; Shoujin Wang; Lei Zhu 003; Changwei Wang 001; Rongtao Xu; Liang Hu 004; Ke Liu; Yu Zhang 133 (NeurIPS, 2024)

MindTuner: Cross-Subject Visual Decoding with Visual Fingerprint and Semantic Correction. - Zixuan Gong; Qi Zhang 020; Guangyin Bao; Lei Zhu 002; Ke Liu; Liang Hu 004; Duoqian Miao 001 (CoRR, 2024)

Wills Aligner: A Robust Multi-Subject Brain Representation Learner. - Guangyin Bao; Zixuan Gong; Qi Zhang 020; Jialei Zhou; Wei Fan 010; Kun Yi 001; Usman Naseem; Liang Hu 004; Duoqian Miao 001 (CoRR, 2024)

FedMinds: Privacy-Preserving Personalized Brain Visual Decoding. - Guangyin Bao; Duoqian Miao 001 (CoRR, 2024)

Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding. - Guangyin Bao; Qi Zhang 020; Zixuan Gong; Jialei Zhou; Wei Fan 010; Kun Yi 001; Usman Naseem; Liang Hu 004; Duoqian Miao 001 (AAAI, 2025)

MindTuner: Cross-Subject Visual Decoding with Visual Fingerprint and Semantic Correction. - Zixuan Gong; Qi Zhang 020; Guangyin Bao; Lei Zhu; Rongtao Xu; Ke Liu; Liang Hu 004; Duoqian Miao 001 (AAAI, 2025)

MindSimulator: Exploring Brain Concept Localization via Synthetic fMRI. - Guangyin Bao; Qi Zhang 020; Zixuan Gong; Zhuojia Wu; Duoqian Miao 001 (ICLR, 2025)

Efficient Diffusion Models: A Survey. - Hui Shen; Jingxuan Zhang; Boning Xiong; Rui Hu; Shoufa Chen; Zhongwei Wan; Xin Wang 120; Yu Zhang 133; Zixuan Gong; Guangyin Bao; Chaofan Tao; Yongfeng Huang; et al. (Trans. Mach. Learn. Res., 2025)

Seeking personality yet commonality via adversarial learning to enhance heterogeneous multimodal collaboration. - Zhuojia Wu; Qi Zhang 020; Duoqian Miao 001; Xuerong Zhao; Guangyin Bao; Liang Hu 004; Kun Yi 001; Yu Zhou (Inf. Fusion, 2026)