| 2025 | ICASSP | BP-GPT: Auditory Neural Decoding Using fMRI-prompted LLM. | Xiaoyu Chen, Changde Du, Che Liu, Yizhe Wang, Huiguang He |
| 2025 | ICLR | Animate Your Thoughts: Reconstruction of Dynamic Natural Vision from Human Brain Activity. | Yizhuo Lu, Changde Du, Chong Wang, Xuanliu Zhu, Liuyun Jiang, Xujin Li, Huiguang He |
| 2025 | ICML | EmoGrowth: Incremental Multi-label Emotion Decoding with Augmented Emotional Relation Graph. | Kaicheng Fu, Changde Du, Jie Peng, Kunpeng Wang, Shuangchen Zhao, Xiaoyu Chen, Huiguang He |
| 2024 | ICLR | CLIP-MUSED: CLIP-Guided Multi-Subject Visual Neural Information Semantic Decoding. | Qiongyi Zhou, Changde Du, Shengpei Wang, Huiguang He |
| 2023 | ICONIP | RoBrain: Towards Robust Brain-to-Image Reconstruction via Cross-Domain Contrastive Learning. | Che Liu, Changde Du, Huiguang He |
| 2023 | MICCAI | Mammo-Net: Integrating Gaze Supervision and Interactive Information in Multi-view Mammogram Classification. | Changkai Ji, Changde Du, Qing Zhang, Sheng Wang, Chong Ma, Jiaming Xie, Yan Zhou, Huiguang He, Dinggang Shen |
| 2022 | MICCAI | Graph Emotion Decoding from Visually Evoked Neural Responses. | Zhongyu Huang, Changde Du, Yingheng Wang, Huiguang He |
| 2020 | AAAI | Conditional Generative Neural Decoding with Structured CNN Feature Prediction. | Changde Du, Changying Du, Lijie Huang, Huiguang He |
| 2020 | IJCNN | Simultaneous Neural Spike Encoding and Decoding Based on Cross-modal Dual Deep Generative Model. | Qiongyi Zhou, Changde Du, Dan Li, Haibao Wang, Jian K. Liu, Huiguang He |
| 2019 | IJCNN | Learning "What" and "Where": An Interpretable Neural Encoding Model. | Haibao Wang, Lijie Huang, Changde Du, Huiguang He |
| 2018 | ICPR | Improving Image Classification Performance with Automatically Hierarchical Label Clustering. | Zhiqiang Chen, Changde Du, Lijie Huang, Dan Li, Huiguang He |
| 2018 | ICPR | Multi-label Semantic Decoding from Human Brain Activity. | Dan Li, Changde Du, Lijie Huang, Zhiqiang Chen, Huiguang He |
| 2018 | IJCAI | Redundancy-resistant Generative Hashing for Image Retrieval. | Changying Du, Xingyu Xie, Changde Du, Hao Wang |
| 2018 | KDD | Multi-view Adversarially Learned Inference for Cross-domain Joint Distribution Matching. | Changying Du, Changde Du, Xingyu Xie, Chen Zhang, Hao Wang |
| 2017 | IJCAI | Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel. | Jia He, Changying Du, Changde Du, Fuzhen Zhuang, Qing He, Guoping Long |
| 2017 | IJCNN | Sharing deep generative representation for perceived image reconstruction from human brain activity. | Changde Du, Changying Du, Huiguang He |
| 2016 | PAKDD | Bayesian Group Feature Selection for Support Vector Learning Machines. | Changde Du, Changying Du, Shandian Zhe, Ali Luo, Qing He, Guoping Long |
| 2016 | UAI | Online Bayesian Multiple Kernel Bipartite Ranking. | Changying Du, Changde Du, Guoping Long, Qing He, Yucheng Li |