Multi-modal Data Representation and Analyze

Causal Machine Learning

Explainable AI (XAI)

Theory, Methods, and Applications of Large Models for the Biomedical Domain

- LightAIR: Lightweight Action Inversion and Riemannian Rectification for Text-based Person Anomaly Search, ACM International Conference on Multimedia (ACM MM), 2026 [CCF-A]

- Semi-supervised Medical Image Classification Made Easier with Causality-Driven Learning, IEEE Journal of Biomedical and Health Informatics, 2026 [IF: 6.8, Q1]

- A Recursive Decomposition Framework for Causal Structure Learning in the Presence of Latent Variables, International Conference on Machine Learning (ICML), 2026 [CCF-A]

- Causal Discovery by Continuous Optimization with Weighted Superstructure, Neural Networks, 2026 [IF: 6.3, Q1]

- Learning Directed Acyclic Graphs via Noising and Denoising, Information Sciences, 2026 [IF: 6.8, Q1]

- CoGeo-GS: Concept-Driven and Geometry-Aware Multi-Object Removal in 3D Scenes, IEEE International Conference on Multimedia and Expo (ICME), 2026 [CCF-B]

- Causality-inspired Latent Feature Augmentation for Single Domain Generalization, Pattern Recognition, 2026 [IF: 7.6, Q1]

- Multimodal Medical Endoscopic Image Analysis via Progressive Disentangle-aware Contrastive Learning, Medical Image Analysis, 2026 [IF: 11.8, Q1]

- BiomedCCPL: Causal Conditional Prompt Learning Learning for Biomedical Vision-Language Models, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026 [CCF-A]

- Semi-MedSAM: Adapting SAM-assisted Semi-supervised Multi-modality Learning for Medical Endoscopic Image Segmentation, Pattern Recognition, 2026 [IF: 7.6, Q1]

- OT-AMF: An Optimal Transport-based Adaptive Multi-scale Fusion Framework for Cancer Survive Prediction, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2026 [CCF-B]

- MORSE: Molecular Representation Learning via Structured Semantic Extraction across Hierachical and Asymmetric Biological Modalities, Pattern Recognition, 2025 [IF: 7.6, Q1]

- Cyclic Contrastive Representation Learning for Incomplete Multi-modal Medical Image Segmentation, IEEE Journal of Biomedical and Health Informatics, 2025 [IF: 6.8, Q1]

- Dynamic Debiasing of Multi-Hop Fact Verification via Counterfactual Reasoning, Knowledge-based Systems, 2025 [IF: 7.6, Q1]

- Gene-Guided Multimodal Data Fusion for Cancer Patient Survival Analysis, Neurocomputing, 2025 [IF: 6.5, Q1]

- A deep learning fusion network trained with medical records and laryngoscopic images in the early diagnosis of glottic carcinoma, iScience, 2025 [IF: 4.1, Q1]

- AdaMM: An Adaptive Multimodal Model with Learnable Weights for Protein-ligand Affinity Prediction, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025 [CCF-B]

- Knowledge-Enhanced Complementary Information Fusion with Temporal Heterogeneous Graph Learning for Disease Prediction, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025 [CCF-B]

- Shuffle-Diversity Collaborative Federated Learning for Imbalanced Medical Image Analysis, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025 [CCF-B]

- SERENA: A Unified Stochastic Recursive Variance Reduced Gradient Framework for Riemannian Non-Convex Optimization, International Conference on Machine Learning (ICML), 2025 [CCF-A]

- Identifying Causal Mechanism Shifts under Additive Models with Arbitrary Noise, International Joint Conference on Artificial Intelligence (IJCAI), 2025  [CCF-A]

- Mutual Teaching: Semi-supervised Medical Image Classification with Cross Structural Consistency Learning, IEEE International Conference on Multimedia and Expo (ICME), 2025 [CCF-B]

- Perturbing Confounders via Causal Disentanglement for Domain Generalization, IEEE International Conference on Multimedia and Expo (ICME), 2025 [CCF-B]

- SAM-guided Cross Pseudo Supervision Learning for Semi-supervised Medical Image Segmentation, Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2025 

- Dynamic Gesture Customization in a Continous Learning Framework: Empowering Users with Personalized Real-Time sEMG Gesture Recognition, Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2025

- LPC-SYS: AI-Powered Laryngo-Pharyngeal Cancer Diagnosing System, Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2025

- Towards interpretable sleep stage classification with a multi-stream fusion network, BMC Medical Informatics and Decision Making, 2025 [IF: 3.8]

- Regression-based Conditional Independence Test with Adaptive Kernels, Artificial Intelligence, 2025 [IF: 4.6, CCF-A]

- Decouple-and-Couple Learning in Multi-modal Brain Tumor Segmentation, IEEE Journal of Biomedical and Health Informatics, 2025 [IF: 6.8, Q1]

- A Novel Dual-model Adaptive Continuous Learning Strategy for Wrist-sEMG Real-Time Gesture Recognition, IEEE Transactions on Neural Systems & Rehabilitation Engineering, 2024 [IF: 4.8, Q1]

- CDRM: Causal disentangled representation learning for missing Data, Knowledge-based Systems, 2024 [IF: 7.6, Q1]

- Semi-supervised Multi-view Clustering based on NMF with Fusion Regularization, ACM Transactions on Knowledge Discovery from Data, 2024 [IF: 4.0, Q1]

- Rethinking Radiology Report Generation via Causal Inspired Counterfactual Augmentation, ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB), 2024

- Incomplete Multiview Clustering using Normalizing Alignment Strategy with Graph Regularization, IEEE Transactions on Knowledge and Data Engineering, 2022 [IF: 8.9, Q1]

- Boundary-aware context neural network for medical image segmentation, Medical Image Analysis, 2022  [IF: 11.8, Q1]

- Cascaded context enhancement network for automatic skin lesion segmentation, Expert Systems With Applications, 2022  [IF: 7.5, Q1]

- Perturb more, trap more: Understanding behaviors of graph neural networks, Neurocomputing, 2022 [IF: 5.5, Q1]

- Focus, Fusion, and Rectify: Context-Aware Learning for COVID-19 Lung Infection Segmentation, IEEE Transactions on Neural Networks and Learning Systems, 2022 [IF: 10.2, Q1]

- Smoothness Sensor: Adaptive Smoothness-Transition Graph Convolutions for Attributed Graph Clustering, IEEE Transactions on Cybernetics, 2021 [IF: 9.4, Q1]

- Graph Polish: A Novel Graph Generation Paradigm for Molecular Optimization, IEEE Transactions on Neural Networks and Learning Systems, 2021 [IF: 10.2, Q1]

- A Short-Term Prediction Model at the Early Stage of the COVID-19 Pandemic Based on Multisource Urban Data, IEEE Transactions on Computational Social Systems, 2021 [IF: 4.5, Q1]

- Deep Multi-Scale Fusion Neural Network for Multi-Class Arrhythmia Detection, IEEE Journal of Biomedical and Health Informatics, 2020 [IF: 6.8, Q1]

- Multi-class Arrhythmia detection from 12-lead varied-length ECG using Attention-based Time-Incremental Convolutional Neural Network, Information Fusion, 2020 [IF: 15.5, Q1, ESI高被引]