De novo pattern discovery enables robust assessment of functional consequences of non-coding variants. - Hai Yang 002; Rui Chen 021; Quan Wang 004; Qiang Wei; Ying Ji 002; Guangze Zheng 002; Xue Zhong; Nancy J. Cox; Bingshan Li (Bioinform., 2019)

Cancer classification based on chromatin accessibility profiles with deep adversarial learning model. - Hai Yang 002; Qiang Wei; Dongdong Li; Zhe Wang 002 (PLoS Comput. Biol., 2020)

Subtype-GAN: a deep learning approach for integrative cancer subtyping of multi-omics data. - Hai Yang 002; Rui Chen 021; Dongdong Li; Zhe Wang 002 (Bioinform., 2021)

Multi-kernel Support Vector Data Description with boundary information. - Wei Guo 023; Zhe Wang 002; Sisi Hong; Dongdong Li; Hai Yang 002; Wen Du (Eng. Appl. Artif. Intell., 2021)

Entropy-based hybrid sampling ensemble learning for imbalanced data. - Dongdong Li; Ziqiu Chi; Bolu Wang; Zhe Wang 002; Hai Yang 002; Wenli Du (Int. J. Intell. Syst., 2021)

OnionNet: Single-View Depth Prediction and Camera Pose Estimation for Unlabeled Video. - Tianhao Gu; Zhe Wang 002; Dongdong Li; Hai Yang 002; Wenli Du; Yangming Zhou (IEEE Trans. Cogn. Dev. Syst., 2021)

EEG Emotion Recognition Based on 3-D Feature Representation and Dilated Fully Convolutional Networks. - Dongdong Li; Bing Chai; Zhe Wang 002; Hai Yang 002; Wenli Du (IEEE Trans. Cogn. Dev. Syst., 2021)

FLDNet: Frame-Level Distilling Neural Network for EEG Emotion Recognition. - Zhe Wang 002; Tianhao Gu; Yiwen Zhu; Dongdong Li; Hai Yang 002; Wenli Du (IEEE J. Biomed. Health Informatics, 2021)

Multi-MedVit: a deep learning approach for the diagnosis of COVID-19 with the CT images. - Yunjie Cai; Zeqi Zheng; Shanling Nie; Yue Guo; Ruijie Zhang; Hai Yang 002 (BIBM, 2022)

CFC: a Cascade Forest approach to discover Cancer driver genes using multi-omics data. - Lei Zhang; Yijing Yang; Zhe Wang 002; Dongdong Li; Jingping Liu; Hai Yang 002 (BIBM, 2022)

Cost-sensitive matrixized classification learning with information entropy. - Zhe Wang 002; Xu Chu; Dongdong Li; Hai Yang 002; Weichao Qu (Appl. Soft Comput., 2022)

Spatial-frequency convolutional self-attention network for EEG emotion recognition. - Dongdong Li; Li Xie; Bing Chai; Zhe Wang 002; Hai Yang 002 (Appl. Soft Comput., 2022)

Client selection based weighted federated few-shot learning. - Xinlei Xu; Saisai Niu; Zhe Wang 002; Dongdong Li; Hai Yang 002; Wenli Du (Appl. Soft Comput., 2022)

Subtype-Former: a deep learning approach for cancer subtype discovery with multi-omics data. - Hai Yang 002; Yuhang Sheng; Yi Jiang; Xiaoyang Fang; Dongdong Li; Jing Zhang 041; Zhe Wang 002 (CoRR, 2022)

Multi-attention mutual information distributed framework for few-shot learning. - Zhe Wang 002; Pingchuan Ma 009; Ziqiu Chi; Dongdong Li; Hai Yang 002; Wenli Du (Expert Syst. Appl., 2022)

Semi-supervised multiple empirical kernel learning with pseudo empirical loss and similarity regularization. - Wei Guo 023; Zhe Wang 002; Menghao Ma; Lilong Chen; Hai Yang 002; Dongdong Li; Wenli Du (Int. J. Intell. Syst., 2022)

Semantic Supplementary Network With Prior Information for Multi-Label Image Classification. - Zhe Wang 002; Zhongli Fang; Dongdong Li; Hai Yang 002; Wenli Du (IEEE Trans. Circuits Syst. Video Technol., 2022)

Graph-Based Object Semantic Refinement for Visual Emotion Recognition. - Jing Zhang 041; Xinyu Liu; Zhe Wang 002; Hai Yang 002 (IEEE Trans. Circuits Syst. Video Technol., 2022)

TVAR: assessing tissue-specific functional effects of non-coding variants with deep learning. - Hai Yang 002; Rui Chen 021; Quan Wang 004; Qiang Wei; Ying Ji 002; Xue Zhong; Bingshan Li (Bioinform., 2022)

Joint Clustering and Analyze Single Cell Multi-omics Data by scMOGAN. - Congcong An; Yiwen Chen; Shanling Nie; Hai Yang 002 (BIBM, 2023)

PMMVar: Leveraging Multi-level Protein Structures for Enhanced Coding Variant Pathogenicity Prediction. - Yijia Chen; Yiwen Chen; Shanling Nie; Hai Yang 002 (BIBM, 2023)

Modif-SegUnet: Innovatively Advancing Liver Cancer Diagnosis and Treatment through Efficient and Meaningful Segmentation of 3D Medical Images. - Chenhang Wang; Yujian Jin; Jiayi Liang; YuHan Yang; Shanling Nie; Hai Yang 002 (BIBM, 2023)

LDE-UNet: A Novel Model for Rapid COVID-19 Diagnosis via CT Image Segmentation. - QiSong Wang; JiaRou Wu; YingZhuo Wang; HuiLi Qu; Shanling Nie; Hai Yang 002 (BIBM, 2023)

SAMMS: Multi-modality Deep Learning with the Foundation Model for the Prediction of Cancer Patient Survival. - Wen Zhu; Yiwen Chen; Shanling Nie; Hai Yang 002 (BIBM, 2023)

Mixed Entropy Down-Sampling based Ensemble Learning for Speech Emotion Recognition. - Zhengji Xuan; Dongdong Li; Zhe Wang 002; Hai Yang 002 (IJCNN, 2023)

Multi-level Feature Joint Learning Methods for Emotional Speaker Recognition. - Zhongliang Zeng; Dongdong Li; Zhe Wang 002; Hai Yang 002 (IJCNN, 2023)

Complementary features based prototype self-updating for few-shot learning. - Xinlei Xu; Zhe Wang 002; Ziqiu Chi; Hai Yang 002; Wenli Du (Expert Syst. Appl., 2023)

Personalized Federated Continual Learning for Task-Incremental Biometrics. - Dongdong Li; Nan Huang; Zhe Wang 002; Hai Yang 002 (IEEE Internet Things J., 2023)

RLPGB-Net: Reinforcement Learning of Feature Fusion and Global Context Boundary Attention for Infrared Dim Small Target Detection. - Zhe Wang 002; Tao Zang; Zhiling Fu; Hai Yang 002; Wenli Du (IEEE Trans. Geosci. Remote. Sens., 2023)

From multi-omics data to the cancer druggable gene discovery: a novel machine learning-based approach. - Hai Yang 002; Lipeng Gan; Rui Chen 021; Dongdong Li; Jing Zhang 041; Zhe Wang 002 (Briefings Bioinform., 2023)

Multi-feature space similarity supplement for few-shot class incremental learning. - Xinlei Xu; Saisai Niu; Zhe Wang 002; Wei Guo 023; Lihong Jing; Hai Yang 002 (Knowl. Based Syst., 2023)

Multi-view dimensionality reduction learning with hierarchical sparse feature selection. - Wei Guo 023; Zhe Wang 002; Hai Yang 002; Wenli Du (Appl. Intell., 2023)

Knowledge aggregation networks for class incremental learning. - Zhiling Fu; Zhe Wang 002; Xinlei Xu; Dongdong Li; Hai Yang 002 (Pattern Recognit., 2023)

Federated probability memory recall for federated continual learning. - Zhe Wang 002; Yu Zhang; Xinlei Xu; Zhiling Fu; Hai Yang 002; Wenli Du (Inf. Sci., 2023)

Identity Retention and Emotion Converted StarGAN for low-resource emotional speaker recognition. - Dongdong Li; Zhuo Yang; Zhe Wang 002; Hai Yang 002 (Speech Commun., 2023)

InDEP: an interpretable machine learning approach to predict cancer driver genes from multi-omics data. - Hai Yang 002; Yawen Liu; Yijing Yang; Dongdong Li; Zhe Wang 002 (Briefings Bioinform., 2023)

Multilabel Convolutional Network With Feature Denoising and Details Supplement. - Tianhao Gu; Zhe Wang 002; Zhongli Fang; Zonghai Zhu; Hai Yang 002; Dongdong Li; Wenli Du (IEEE Trans. Neural Networks Learn. Syst., 2023)

Frame-Level Teacher-Student Learning With Data Privacy for EEG Emotion Recognition. - Tianhao Gu; Zhe Wang 002; Xinlei Xu; Dongdong Li; Hai Yang 002; Wenli Du (IEEE Trans. Neural Networks Learn. Syst., 2023)

CIXG: A Comprehensive Approach to Driver Gene Identification and Causal Interpretation. - Yawen Liu; Yiwen Chen; Shanling Nie; Hai Yang 002 (BIBM, 2024)

Scale-wise discriminative region learning for medical image segmentation. - Jing Zhang 041; Xiaoting Lai; Hai Yang 002; Tong Ruan (Biomed. Signal Process. Control., 2024)

Denoising for balanced representation: A diffusion-informed approach to causal effect estimation. - Hai Yang 002; Jing Yao; Zhe Wang 002; Yijing Yang (Knowl. Based Syst., 2024)

Patch-Based Semantically Enhanced Network for IR Dim and Small Targets Background Suppression. - Yunfei Tong; Yue Leng; Hai Yang 002; Zhe Wang 002; Saisai Niu; Huabao Long (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Guided Attention and Joint Loss for Infrared Dim Small Target Detection. - Yunfei Tong; Jing Liu; Zhiling Fu; Zhe Wang 002; Hai Yang 002; Saisai Niu; Qinyan Tan (IEEE Trans. Geosci. Remote. Sens., 2024)

Target-Focused Enhancement Network for Distant Infrared Dim and Small Target Detection. - Yunfei Tong; Yue Leng; Hai Yang 002; Zhe Wang 002 (IEEE Trans. Geosci. Remote. Sens., 2024)

MAPFF: Multiangle Pyramid Feature Fusion Network for Infrared Dim Small Target Detection. - Hai Yang 002; Jing Liu; Zhe Wang 002; Zhiling Fu; Qinyan Tan; Saisai Niu (IEEE Trans. Geosci. Remote. Sens., 2024)

Emotion embedding framework with emotional self-attention mechanism for speaker recognition. - Dongdong Li; Zhuo Yang; Jinlin Liu; Hai Yang 002; Zhe Wang 002 (Expert Syst. Appl., 2024)

Relationship constraint deep metric learning. - Yanbing Zhang; Ting Xiao; Zhe Wang 002; Xinru Wang; Wenyi Feng; Zhiling Fu; Hai Yang 002 (Appl. Intell., 2024)

Brain Emotion Perception Inspired EEG Emotion Recognition With Deep Reinforcement Learning. - Dongdong Li; Li Xie; Zhe Wang 002; Hai Yang 002 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Brain topographic map: A visual feature for multi-view fusion design in EEG-based biometrics. - Dongdong Li; Zhongliang Zeng; Nan Huang; Zhe Wang 002; Hai Yang 002 (Digit. Signal Process., 2025)

BFCP: Pursue Better Forward Compatibility Pretraining for Few-Shot Class-Incremental Learning. - Zhiling Fu; Zhe Wang 002; Xinlei Xu; Wei Guo 023; Ziqiu Chi; Hai Yang 002; Wenli Du (IEEE Trans. Neural Networks Learn. Syst., 2025)