Bayesian Group Feature Selection for Support Vector Learning Machines. - Changde Du; Changying Du; Shandian Zhe; Ali Luo; Qing He 003; Guoping Long (PAKDD (1), 2016)

Efficient Bayesian Maximum Margin Multiple Kernel Learning. - Changying Du; Changde Du; Guoping Long; Xin Jin 004; Yucheng Li 002 (ECML/PKDD (1), 2016)

Online Bayesian Multiple Kernel Bipartite Ranking. - Changying Du; Changde Du; Guoping Long; Qing He 003; Yucheng Li 002 (UAI, 2016)

Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel. - Jia He 001; Changying Du; Changde Du; Fuzhen Zhuang; Qing He 003; Guoping Long (IJCAI, 2017)

Sharing deep generative representation for perceived image reconstruction from human brain activity. - Changde Du; Changying Du; Huiguang He (IJCNN, 2017)

Semi-supervised Bayesian Deep Multi-modal Emotion Recognition. - Changde Du; Changying Du; Jinpeng Li 002; Wei-Long Zheng; Bao-Liang Lu; Huiguang He (CoRR, 2017)

Improving EEG-Based Motor Imagery Classification via Spatial and Temporal Recurrent Neural Networks. - Xuelin Ma; Shuang Qiu 002; Changde Du; Jiezhen Xing; Huiguang He (EMBC, 2018)

Improving Image Classification Performance with Automatically Hierarchical Label Clustering. - Zhiqiang Chen; Changde Du; Lijie Huang; Dan Li; Huiguang He (ICPR, 2018)

Multi-label Semantic Decoding from Human Brain Activity. - Dan Li; Changde Du; Lijie Huang; Zhiqiang Chen; Huiguang He (ICPR, 2018)

Redundancy-resistant Generative Hashing for Image Retrieval. - Changying Du; Xingyu Xie; Changde Du; Hao Wang 005 (IJCAI, 2018)

Multi-view Adversarially Learned Inference for Cross-domain Joint Distribution Matching. - Changying Du; Changde Du; Xingyu Xie; Chen Zhang 003; Hao Wang 005 (KDD, 2018)

Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data. - Changde Du; Changying Du; Hao Wang 005; Jinpeng Li 002; Wei-Long Zheng; Bao-Liang Lu; Huiguang He (ACM Multimedia, 2018)

Doubly Semi-Supervised Multimodal Adversarial Learning for Classification, Generation and Retrieval. - Changde Du; Changying Du; Huiguang He (ICME, 2019)

Learning "What" and "Where": An Interpretable Neural Encoding Model. - Haibao Wang; Lijie Huang; Changde Du; Huiguang He (IJCNN, 2019)

Efficient and Adaptive Kernelization for Nonlinear Max-margin Multi-view Learning. - Changying Du; Jia He 001; Changde Du; Fuzhen Zhuang; Qing He 003; Guoping Long (CoRR, 2019)

Reconstructing Perceived Images From Human Brain Activities With Bayesian Deep Multiview Learning. - Changde Du; Changying Du; Lijie Huang; Huiguang He (IEEE Trans. Neural Networks Learn. Syst., 2019)

Conditional Generative Neural Decoding with Structured CNN Feature Prediction. - Changde Du; Changying Du; Lijie Huang; Huiguang He (AAAI, 2020)

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 (IJCNN, 2020)

Semi-supervised cross-modal image generation with generative adversarial networks. - Dan Li; Changde Du; Huiguang He (Pattern Recognit., 2020)

Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity. - Jinpeng Li 002; Shuang Qiu 002; Changde Du; Yixin Wang; Huiguang He (IEEE Trans. Cogn. Dev. Syst., 2020)

Multimodal deep generative adversarial models for scalable doubly semi-supervised learning. - Changde Du; Changying Du; Huiguang He (Inf. Fusion, 2021)

Multi-subject data augmentation for target subject semantic decoding with deep multi-view adversarial learning. - Dan Li; Changde Du; Shengpei Wang; Haibao Wang; Huiguang He (Inf. Sci., 2021)

Neural Encoding for Human Visual Cortex With Deep Neural Networks Learning "What" and "Where". - Haibao Wang; Lijie Huang; Changde Du; Dan Li; Bo Wang 168; Huiguang He (IEEE Trans. Cogn. Dev. Syst., 2021)

Dynamical Channel Pruning by Conditional Accuracy Change for Deep Neural Networks. - Zhiqiang Chen; Ting-Bing Xu; Changde Du; Cheng-Lin Liu 001; Huiguang He (IEEE Trans. Neural Networks Learn. Syst., 2021)

Graph Emotion Decoding from Visually Evoked Neural Responses. - Zhongyu Huang; Changde Du; Yingheng Wang; Huiguang He (MICCAI (8), 2022)

VigilanceNet: Decouple Intra- and Inter-Modality Learning for Multimodal Vigilance Estimation in RSVP-Based BCI. - Xinyu Cheng; Wei Wei 046; Changde Du; Shuang Qiu 002; Sanli Tian; Xiaojun Ma; Huiguang He (ACM Multimedia, 2022)

Multimodal foundation models are better simulators of the human brain. - Haoyu Lu; Qiongyi Zhou; Nanyi Fei; Zhiwu Lu 001; Mingyu Ding; Jingyuan Wen; Changde Du; Xin Zhao 018; Hao Sun 002; Huiguang He; Ji-Rong Wen (CoRR, 2022)

Multi-Modal Domain Adaptation Variational Autoencoder for EEG-Based Emotion Recognition. - Yixin Wang; Shuang Qiu 002; Dan Li; Changde Du; Bao-Liang Lu; Huiguang He (IEEE CAA J. Autom. Sinica, 2022)

Exploring the Brain-like Properties of Deep Neural Networks: A Neural Encoding Perspective. - Qiongyi Zhou; Changde Du; Huiguang He (Int. J. Autom. Comput., 2022)

GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-Ray Images. - Baolian Qi; Gangming Zhao; Xin Wei; Changde Du; Chengwei Pan; Yizhou Yu; Jinpeng Li 002 (IEEE J. Biomed. Health Informatics, 2022)

Deep Modality Assistance Co-Training Network for Semi-Supervised Multi-Label Semantic Decoding. - Dan Li; Changde Du; Haibao Wang; Qiongyi Zhou; Huiguang He (IEEE Trans. Multim., 2022)

Structured Neural Decoding With Multitask Transfer Learning of Deep Neural Network Representations. - Changde Du; Changying Du; Lijie Huang; Haibao Wang; Huiguang He (IEEE Trans. Neural Networks Learn. Syst., 2022)

RoBrain: Towards Robust Brain-to-Image Reconstruction via Cross-Domain Contrastive Learning. - Che Liu; Changde Du; Huiguang He (ICONIP (3), 2023)

Mammo-Net: Integrating Gaze Supervision and Interactive Information in Multi-view Mammogram Classification. - Changkai Ji; Changde Du; Qing Zhang; Sheng Wang 014; Chong Ma; Jiaming Xie; Yan Zhou; Huiguang He; Dinggang Shen (MICCAI (7), 2023)

Auditory Attention Decoding with Task-Related Multi-View Contrastive Learning. - Xiaoyu Chen; Changde Du; Qiongyi Zhou; Huiguang He (ACM Multimedia, 2023)

MindDiffuser: Controlled Image Reconstruction from Human Brain Activity with Semantic and Structural Diffusion. - Yizhuo Lu; Changde Du; Qiongyi Zhou; Dianpeng Wang; Huiguang He (ACM Multimedia, 2023)

PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition. - Ming Jin 006; Enwei Zhu; Changde Du; Huiguang He; Jinpeng Li 002 (CoRR, 2023)

MindDiffuser: Controlled Image Reconstruction from Human Brain Activity with Semantic and Structural Diffusion. - Yizhuo Lu; Changde Du; Dianpeng Wang; Huiguang He (CoRR, 2023)

Neural Encoding and Decoding With a Flow-Based Invertible Generative Model. - Qiongyi Zhou; Changde Du; Dan Li; Haibao Wang; Jian K. Liu; Huiguang He (IEEE Trans. Cogn. Dev. Syst., 2023)

Graph-Enhanced Emotion Neural Decoding. - Zhongyu Huang; Changde Du; Yingheng Wang; Kaicheng Fu; Huiguang He (IEEE Trans. Medical Imaging, 2023)

Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features. - Changde Du; Kaicheng Fu; Jinpeng Li 002; Huiguang He (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

CLIP-MUSED: CLIP-Guided Multi-Subject Visual Neural Information Semantic Decoding. - Qiongyi Zhou; Changde Du; Shengpei Wang; Huiguang He (ICLR, 2024)

Animate Your Thoughts: Decoupled Reconstruction of Dynamic Natural Vision from Slow Brain Activity. - Yizhuo Lu; Changde Du; Chong Wang; Xuanliu Zhu; Liuyun Jiang; Huiguang He (CoRR, 2024)

Open-vocabulary Auditory Neural Decoding Using fMRI-prompted LLM. - Xiaoyu Chen; Changde Du; Che Liu; Yizhe Wang; Huiguang He (CoRR, 2024)

Reverse the auditory processing pathway: Coarse-to-fine audio reconstruction from fMRI. - Che Liu; Changde Du; Xiaoyu Chen; Huiguang He (CoRR, 2024)

Multi-label Class Incremental Emotion Decoding with Augmented Emotional Semantics Learning. - Kaicheng Fu; Changde Du; Xiaoyu Chen; Jie Peng; Huiguang He (CoRR, 2024)

Human-like object concept representations emerge naturally in multimodal large language models. - Changde Du; Kaicheng Fu; Bincheng Wen; Yi Sun; Jie Peng; Wei Wei 046; Ying Gao; Shengpei Wang; Chuncheng Zhang; Jinpeng Li 002; Shuang Qiu 002; Le Chang; et al. (CoRR, 2024)

NeuralOOD: Improving Out-of-Distribution Generalization Performance with Brain-machine Fusion Learning Framework. - Shuangchen Zhao; Changde Du; Hui Li; Huiguang He (CoRR, 2024)

EvoFA: Evolvable Fast Adaptation for EEG Emotion Recognition. - Ming Jin 006; Danni Zhang; Gangming Zhao; Changde Du; Jinpeng Li 002 (CoRR, 2024)

ViKL: A Mammography Interpretation Framework via Multimodal Aggregation of Visual-knowledge-linguistic Features. - Xin Wei; Yaling Tao; Changde Du; Gangming Zhao; Yizhou Yu; Jinpeng Li 002 (CoRR, 2024)

Improved Video Emotion Recognition With Alignment of CNN and Human Brain Representations. - Kaicheng Fu; Changde Du; Shengpei Wang; Huiguang He (IEEE Trans. Affect. Comput., 2024)

PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition. - Ming Jin 006; Changde Du; Huiguang He; Ting Cai 001; Jinpeng Li 002 (IEEE Trans. Multim., 2024)

Multi-View Multi-Label Fine-Grained Emotion Decoding From Human Brain Activity. - Kaicheng Fu; Changde Du; Shengpei Wang; Huiguang He (IEEE Trans. Neural Networks Learn. Syst., 2024)

BP-GPT: Auditory Neural Decoding Using fMRI-prompted LLM. - Xiaoyu Chen; Changde Du; Che Liu; Yizhe Wang; Huiguang He (ICASSP, 2025)

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 (ICLR, 2025)

Identifying the hierarchical emotional areas in the human brain through information fusion. - Zhongyu Huang; Changde Du; Chaozhuo Li; Kaicheng Fu; Huiguang He (Inf. Fusion, 2025)

NeuralOOD: Improving out-of-distribution generalization performance with brain-machine fusion learning framework. - Shuangchen Zhao; Changde Du; Jingze Li; Hui Li; Huiguang He (Inf. Fusion, 2025)

Adaptive Domain Alignment Neural Networks for Cross-Domain EEG Emotion Recognition. - Xuezhu Hong; Changde Du; Huiguang He (IEEE Trans. Affect. Comput., 2025)

Interpretable Visual Neural Decoding with Unsupervised Semantic Disentanglement. - Qiongyi Zhou; Changde Du; Dan Li; Bincheng Wen; Le Chang; Huiguang He (Mach. Intell. Res., 2025)