多模态表征计算

因果机器学习

可解释性AI

面向生物医学领域的大模型理论方法与应用

招生计划：

1. 每年计划招收全日制硕士生1～2人，全日制博士生1人(含直博生)，联合培养博士生1～2人（须满足英语条件）

2. 开放职位申请：博士后，硕士/博士生访问实习（计算机、数学、统计学等方向）

专业代码：

081203-计算机应用技术 

085400-电子信息

2017-08-今，中国科学院深圳先进技术研究院  助理研究员、副研究员、研究员

中国运筹学会数学与智能分会副秘书长

中国运筹学会图论组合分会青年理事

中国计算机学会生物信息学专委会委员

中国人工智能产业发展联盟医学人工智能委员会工作组专家

广东省精准医学应用学会医学大数据与人工智能分会常务委员

Frontiers in Computational Neuroscience 客座编辑

   

吴文俊人工智能科学技术奖自然科学奖，二等奖，2025

​广东省科学技术奖科技进步奖，二等奖，2023

深圳市科学技术奖科技进步奖，一等奖，2021

深圳市“鹏城孔雀计划”特聘岗位，2021

广东省计算机学会优秀论文奖，二等奖，2025

深圳市优秀科技论文奖，2022 & 2023

IEEE Journal of Biomedical and Health Informatics “Best Reviewer”，2021

- 一种基于微调后生物医学视觉语言模型的图像分类方法、系统、终端及存储介质. CN202610454905.9

- 一种基于扩散模型的基因调控网络优化方法. CN202511799759.5

- 一种基于最优传输的自适应多尺度融合疾病生存预测方法及系统. CN202511764810.9

- 时序生理信号的数据生成方法、系统、终端及存储介质. CN202511683640.1

- 多模态图像分割方法、系统、终端及存储介质. CN202511574100.0

- 基于分割任意模型指导的半监督图像分割方法. CN202510729851.8

- 一种医学图像分割方法、装置、设备及存储介质. CN202510674889.X

- 一种自适应梯度调制的多模态医学图像分类方法及系统. CN202411577121.2

- 半监督的图像分析方法、装置、计算机设备及存储介质. CN202411142647.8

- 一种基于解耦对比学习的多模态医学图像分割方法、系统、终端及存储介质. CN202510536228.0 

- 基于 SAM 自适应微调的多模态半监督医学图像分割方法. CN202411610823.6

- 一种疾病预测方法、模型、设备及存储介质. CN202510536228.0

- 基于隐含知识增强的疾病预测方法、装置、设备及介质. CN202411895104.3

- 用于图像识别的特征增强方法、装置、设备及存储介质. CN202410574928.4. 

- 一种多模态图像分割方法. CN202211631748.2.

- 基于反事实数据增强的放射学报告生成方法. CN202311704996.X 

- 一种基于互学习的半监督医学图像分割方法及其系统. CN202111601008.X

- 一种图神经网络解释方法、系统、终端以及存储介质. CN114399025A.

- 基于病变边界信息响应的上下文感知医学图像分割方法. CN112561937A.

- 一种基于聚焦融合的上下文学习医学图像分割方法. CN112529930A.

- 心电信号的处理方法、装置及终端设备. CN111160139A.

- 医学图像分割方法、装置及服务器. CN111161279A.

- IDEA: Unwrapping Visual Black-box Models by Interaction Decomposition, Advances in Neural Information Processing System (NeurIPS), 2026 [CCF-A]

- Learning When to Collaborate: Selective Multi-Agent Medical Reasoning Via Uncertainty-Aware Routing, Advances in Neural Information Processing System (NeurIPS), 2026 [CCF-A]

- Trustworthy Evidential Learning for Uncertainty-Aware Anticancer Drug Response Prediction, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2026 [CCF-B]

- Adaptive Shuffle-Boosting Federated Learning for Imbalanced Medical Image Analysis, Pattern Recognition, 2026 [IF: 9.1, Q1]

- 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: 7.7, 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: 7.2, Q1]

- Learning Directed Acyclic Graphs via Noising and Denoising, Information Sciences, 2026 [IF: 6.0, 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: 9.1, Q1]

- Multimodal Medical Endoscopic Image Analysis via Progressive Disentangle-aware Contrastive Learning, Medical Image Analysis, 2026 [IF: 14.0, Q1]

- BiomedCCPL: Causal Conditional Prompt 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: 9.1, 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: 9.1, Q1]

- Cyclic Contrastive Representation Learning for Incomplete Multi-modal Medical Image Segmentation, IEEE Journal of Biomedical and Health Informatics, 2025 [IF: 7.7, Q1]

- Dynamic Debiasing of Multi-Hop Fact Verification via Counterfactual Reasoning, Knowledge-based Systems, 2025 [IF: 8.0, Q1]

- Gene-Guided Multimodal Data Fusion for Cancer Patient Survival Analysis, Neurocomputing, 2025 [IF: 6.7, Q1]

- A deep learning fusion network trained with medical records and laryngoscopic images in the early diagnosis of glottic carcinoma, iScience, 2025 [IF: 4.5, 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: 5.5]

- Regression-based Conditional Independence Test with Adaptive Kernels, Artificial Intelligence, 2025 [IF: 4.7, CCF-A]

- Decouple-and-Couple Learning in Multi-modal Brain Tumor Segmentation, IEEE Journal of Biomedical and Health Informatics, 2025 [IF: 7.7, 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: 6.6, Q1]

- CDRM: Causal disentangled representation learning for missing Data, Knowledge-based Systems, 2024 [IF: 8.0, Q1]

- Semi-supervised Multi-view Clustering based on NMF with Fusion Regularization, ACM Transactions on Knowledge Discovery from Data, 2024 [IF: 6.9, 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: 11.6, Q1]

- Boundary-aware context neural network for medical image segmentation, Medical Image Analysis, 2022  [IF: 14.0, Q1]

- Cascaded context enhancement network for automatic skin lesion segmentation, Expert Systems With Applications, 2022  [IF: 9.4, Q1]

- Perturb more, trap more: Understanding behaviors of graph neural networks, Neurocomputing, 2022 [IF: 6.7, Q1]

- Focus, Fusion, and Rectify: Context-Aware Learning for COVID-19 Lung Infection Segmentation, IEEE Transactions on Neural Networks and Learning Systems, 2022 [IF: 9.7, Q1]

- Smoothness Sensor: Adaptive Smoothness-Transition Graph Convolutions for Attributed Graph Clustering, IEEE Transactions on Cybernetics, 2021 [IF: 11.3, Q1]

- Graph Polish: A Novel Graph Generation Paradigm for Molecular Optimization, IEEE Transactions on Neural Networks and Learning Systems, 2021 [IF: 9.7, 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: 4.6, Q1]

- Deep Multi-Scale Fusion Neural Network for Multi-Class Arrhythmia Detection, IEEE Journal of Biomedical and Health Informatics, 2020 [IF: 7.7, Q1]

- Multi-class Arrhythmia detection from 12-lead varied-length ECG using Attention-based Time-Incremental Convolutional Neural Network, Information Fusion, 2020 [IF: 17.4, Q1, ESI高被引]

   

国家自然科学基金面上项目，面向多模态医学影像分析与智能辅助决策的优化建模方法研究, 负责人, 2025-01--2028-12.

Hong Kong RGC General Research Fund, A study of algorithms and complexity to solve high-dimensional nonconvex optimization, co-PI, 2025.

深圳市优秀科技创新人才培养项目，基于因果学习的多模态医学影像表征分析与应用, 负责人, 2024-06--2027-06.

国家重点研发计划青年科学家项目，面向跨尺度医学数据的融合表征及因果数学理论与应用, 负责人, 2022-12--2027-11.

国家自然科学基金青年项目，基于深度互学习的半监督多模态医学数据融合分类方法研究, 负责人, 2022-01--2024-12.

广东省基础与应用基础研究基金（粤港澳团队），医学内窥镜图像自动分析与辅助诊断的优化建模方法及大规模应用示范，粤港澳团队核心成员/单位负责人，2022-10--2026-09.

广东省自然科学基金面上项目，基于多水平一致性半监督多模态医学图像分析方法研究, 负责人, 2022-01--2024-12.

华为合作项目，基于手腕肌电信号传感的手势识别技术研究, 负责人, 2021-11--2023-02.