个人简介
华南理工大学自动化科学与工程学院副教授，博导。近5年作为主持人获批课题10项，包括国家自然科学基金、浙江省自然科学基金、宁波市公益重点项目等。近5年以一作/通讯作者在包括TCYB、TNNLS、TMM、TASLP、PR、ACL、EMNLP，MICCAI、ACM-MM等在内的国际主流期刊和会议上发表论文近40篇，Google引用2600余次，包括一作ESI高被引论文2篇，一作单篇引用量大于300论文3篇，一作单篇引用量大于100论文7篇。担任国家自然科学基金评审专家，Brain-X等国际重要期刊青年编委，TPAMI，TIP，TAC，TMI，TNNLS，TCYB等杂志审稿人，多个IEEE和ACM国际会议Program/Session Chair。主持开发项目包括：百万级医疗健康数据信息抽取和智能分析系统、基于脑-机接口的混合现实场景运动功能康复设备，获多项省、市级创新大赛冠军，包括浙江省康复医学转化联盟大赛、杭州湾“前湾领航”创新计划等。个人主页：https://scholar.google.com/citations?hl=zh-CN&user=hzEaITAAAAAJ
招生信息
研究方向： AI for Medicine：多模态医学影像分析，癌症早筛等 脑-机接口：情感计算，神经康复，EEG/fMRI分析等 机器学习：计算机视觉，表征学习，自监督学习，弱监督学习，迁移学习等
招生要求： 自动化、CS、数学等相关背景 编程能力强（Python/PyTorch） 对科研有热情
发表过CCF高水平期刊/会议者优先
常年招收博士生，硕士生，欢迎推荐和自荐！
工作经历
- 2019-07~2024-06,宁波市第二医院
- 2019-07~2024-06,中国科学院大学宁波生命与健康产业研究院
社会、学会及学术兼职
IEEE高级会员 中国自动化学会模式识别与机器智能专委会委员 中国人工智能学会会员 医学图像青年研讨会（MICS）委员
研究领域
医学影像大数据分析：多模态医学影像基础模型；稳健型医学人工智能；知识引导的医学大模型 神经计算与脑机接口：脑启发的人工智能；情感脑机接口；运动想象脑机接口 模式识别与机器学习：无监督学习；自监督学习；弱监督学习；迁移学习；多模态学习；计算机视觉；自然语言处理
开授课程
本科生课程《模式识别原理》 硕士研究生课程《机器视觉》 博士研究生课程《机器视觉II》
科研项目
1. 国家自然科学基金，基于可解释性征象学习的恶性肺结节识别算法研究，主持 2. 浙江省自然科学基金，高发癌症智能风险预警系统算法研究，主持 3. 宁波市公益类科技计划项目重点项目，基于流行病学问卷和随访信息的智能化癌症风险预警系统，主持 4. 杭州湾政府“前湾领航2021”创新计划，大规模医疗健康数据智能分析设备，主持 5. 浙江省医药卫生科技项目，中国人群常见癌症风险预警模型研发与软件落地，主持 7. 广州中医药大学合作项目，慢性肾病场景下基于大模型的中医症证方护精准推荐研究，主持 8. 中医证候全国重点实验室开放基金，基于中医药大数据底座平台的大模型微调与中医肾病智能对话系统构建研究，主持 9. 中国科学院大学宁波华美医院专项基金，基于多模态信息融合的新型冠状病毒肺炎智能诊断系统，主持 10. 宁波市影像医学临床研究中心开放基金重点项目，具备高度可解释性的人在环路影像AI系统，主持 11. 国家重点研发计划重点专项，面向中小企业的区域特色产业研发创新与协同制造集成服务平台，参与 12. 国家自然科学基金，基于功能磁共振的视觉信息编解码算法及系统研究，参与 13. 国家自然科学基金，多线索交互协同视觉深度感知算法研究，参与 14. 浙江省医药卫生科技项目，X光片骨折检测与区域分割算法研究，参与 15. 宁波市科技服务业项目，大规模电子病历结构化和模式分析系统研发，参与 16. 宁波市自然科学基金，基于低剂量CT影像的肺结节智能诊断系统，参与
论文
- Du, Changde;Fu, Kaicheng;Wen, Bincheng;Sun, Yi;Peng, Jie;Wei, Wei;Gao, Ying;Wang, Shengpei;Zhang, Chuncheng;Li, Jinpeng;Qiu, Shuang;Chang, Le;He, Huiguang,Human-like object concept representations emerge naturally in multimodal large language models,Nature Machine Intelligence,2025
- Zhang, Shuangqing;Zhao, Gangming;Lyu, Fan;Wang, Songping;Zhang, Zhang;Zhao, Fang;Li, Jinpeng;Shan, Caifeng;Wang, Liang,MambaPTP: Exploring the Potential of Mamba for Pedestrian Trajectory Prediction,IEEE Transactions on Circuits and Systems for Video Technology,2025
- Wang, Sheng;Zhu, Enwei;Zhao, Fangyuan;Bu, Dechao;Li, Jinpeng;Zhao, Yi,MAT: Marker-Lattice Transformer for Entity, Relation and Attribute Extraction From Chinese Clinical Text,IEEE Transactions on Audio Speech and Language Processing,2025
- Li, Xujun;Wei, Xin;Jiang, Jing;Chen, Danxiang;Zhang, Wei;Li, Jinpeng*,ManiNeg: Manifestation-guided multimodal pretraining for mammography screening,Computers in Biology and Medicine,2025
- Du, C., Fu, K., Wen, B., Sun, Y., Peng, J., Wei, W., Gao, Y., Wang, S., Zhang, C., Li, J., Qiu, S., Chang, L., & He, H.,Human-like Object Concept Representations Emerge Naturally in Multimodal Large Language Models,Nature Machine Intelligence,2025
- Tao, Y., Xu, Y., Yu, Y., & Li, J.*,Accurate Coronary Microvascular Segmentation with Parallel Local-global Chains,IEEE BIBM 2025,2025
- Wang, A., Li, Y., Pang, Y., Li, J., Hu, Y., & Wang, Q.,SP-Net: Semantic Distillation and Pixel Refine Network for Surgical Triplet Recognition,IJCNN 2025,2025
- Jin, Ming;Du, Changde;He, Huiguang;Cai, Ting;Li, Jinpeng,PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition,IEEE Transactions on Multimedia,2024
- Du, C., Fu, K., Li, J., & He, H.,Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features,IEEE Transactions on Pattern Analysis and Machine Intelligence,2023
- Zhu, E., Sheng, Q., Yang, H., Liu, Y., Cai, T., & Li, J.,A Unified Framework of Medical Information Annotation and Extraction for Chinese Clinical Text,Artificial Intelligence in Medicine,2023
- Lv, J., Hu, Y., Fu, Q., Hu, Y., Lv, L., Li, J., Zhao, Y.,Local Feature Matters: Cascade Multi-scale MLP for Edge Segmentation of Medical Images,IEEE Transactions on NanoBioscience,2023
- Fan, C., Ding M., Yi, J., Li, J., & Zhao, L.,Two-stage Deep Spectrum Fusion for Noise-robust End-to-end Speech Recognition,Applied Acoustics,2023
- Zhou, F, Lu, Y., Xu, Y., Li, J., Zhang, S., Lin, Y., & Luo, Q.,Correlation between Neutrophil-to-lymphocyte Ratio and Contrast-induced Acute Kidney Injury...,Renal Failure,2023
- Tao, Y., Zhu, J., Yu, X., Cong, H., Li, J., Cai, T., & Chen, Q.,Prognostic Risk of Immune-associated Signature in the Microenvironment of Brain Gliomas,Frontiers in Genetics,2023
- Zhu, E., Liu, Y., & Li, J.*,Deep Span Representation for Named Entity Recognition,ACL 2023,2023
- Jin, M., Li, J.*,Graph to Grid: Learning Deep Representations for Multimodal Emotion Recognition,ACM MM 2023,2023
- Li, L., Zhao, G., Yu, Y., & Li, J.*,Dynamic Triple Reweighting Network for Automatic Femoral Head Necrosis Diagnosis from Computed Tomography,ACM MM 2023,2023
- Liu, Y., Li, J.*, Zhu, E.,Revisiting De-Identification of Electronic Medical Records: Evaluation of Within- and Cross-Hospital Generalization,EMNLP 2023,2023
- Zhai, P., Zhu, E., Qi, B., Wei, X., & Li, J.*,Spiral Contrastive Learning: An Efficient 3D Representation Learning Method for Unannotated CT Lesions,ISBI 2023,2023
- Sun, J., Wang, R., Zhao, G., Chen, C., Qu, Y., Li, J., Hu, X., & Yu, Y.,START: Automatic Sleep Staging with Attention-based Cross-modal Learning Transformer,IEEE BIBM 2023,2023
- Wang, X., Pan, C., Dai, H., Zhao, G., Li, J., Zhang X., & Yu, Y.,Leveraging Frequency Domain Learning in 3D Coronary Segmentation,IEEE BIBM 2023,2023
- Zhai, P., Cong, H., Zhu, E., Zhao, G., Yu Y., & Li, J.,MVCNet: Multiview Contrastive Network for Unsupervised Representation Learning for 3D CT Lesions,IEEE Transactions on Neural Networks and Learning Systems,2022
- Qi, B., Zhao, G., Wei, X., Du, C., Pan, C., Yu, Y., & Li, J.*,GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-ray Images,IEEE Journal of Biomedical and Health Informatics,2022
- Li, Z., Zhu, E., Jin, M., Fan, C., Cai, T., He, H., & Li., J.*,Dynamic Domain Adaptation for Class-aware Cross-subject and Cross-session EEG Emotion Recognition,IEEE Journal of Biomedical and Health Informatics,2022
- Zhu, E., Yang, H., Sheng, Qi., & Li, J.*,Boundary Smoothing for Named Entity Recognition,ACL 2022,2022
- Wei, X., Cong, H., Zhang, Z., Peng, J., Chen, G., & Li, J.*,Faint Features Tell: Automatic Vertebrae Fracture Screening Assisted by Contrastive Learning,IEEE BIBM 2022,2022
- Pan, C., Qi, B., Zhao, G., Liu, J., Fang, C., Zhang, D., & Li, J.*,Deep 3D Vessel Segmentation based on Cross Transformer Network,IEEE BIBM 2022,2022
- Lv, J., Hu, Y., Fu, Q., Zhang, Z., Hu, Y., Lv, L., Yang, G., Li, J., & Zhao, Y.,CM-MLP: Cascade Multi-scale MLP with Axial Context Relation Encoder for Edge Segmentation of Medical Image,IEEE BIBM 2022,2022
- Li, L., Cong, H., Zhao, G., Peng, J., Zhang, Z., & Li, J.*,Structure Regularized Attentive Network for Automatic Femoral Head Necrosis Diagnosis and Localization,IEEE BIBM 2022,2022
- Pan, C., Zhao, G., Fang, J., Qi, B., Liu, J., Fang, C., Zhang, D., Li., J.*, & Yu, Y.,Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance,MICCAI 2022,2022
- Chen, Z., Xu, T., Li, J., & He, H.,Sharing Weights in Shallow Layers via Rotation Group Equivariant Convolutions,Machine Intelligence Research,2022
- Li, J., Zhao, G., Tao, Y., Zhai, P., Chen, H., He, H., & Cai, T.,Multi-task Contrastive Learning for Automatic CT and X-ray Diagnosis of COVID-19,Pattern Recognition,2021
- Li, J., Tao, Y., & Cai, T.,Predicting Lung Cancers Using Epidemiological Data: A Generative-Discriminative Framework,IEEE-CAA Journal of Automatica Sinica,2021
- Li, J., Tao, Y., Cong, H., Zhu, E., & Cai, T.,Predicting Liver Cancers Using Skewed Epidemiological Data,Artificial Intelligence in Medicine,2021
- Chen, Z., Xu, T. B., Liao, W., Li, Z., Li, J., Liu, C. L., & He, H.,SNAP: Shaping neural architectures progressively via information density criterion,Pattern Recognition,2021
- Chen, H., Jin, M., Li, Z., Fan, C., Li, J.*, & He, H.,MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition,Frontiers in Neuroscience,2021
- Zhao, G., Qi, B., & Li, J.*,Cross-chest Graph for Disease Diagnosis with Structural Relational Reasoning,ACM MM 2021,2021
- Qi, B., Zhao, G., Wei, X., Fang, C., Chen, Z., & Li, J.*,Weakly Supervised Disease Localization in Chest X-rays via Looking into Image Relations,IEEE BIBM 2021,2021
- Yin, W., Qi, B., Cai, T., Li, J.,X-ray Image Enhancement using Blind Denoising Neural Networks,CEEIAI 2021,2021
- Chen, H., Li, Z., Jin, M., & Li, J.*,MEERNet: Multi-source EEG-based Emotion Recognition Network for Generalization across Subjects and Sessions,IEEE EMBC 2021,2021
- Li, Z., Chen, H., Jin, M., & Li, J.*,Reducing the Calibration Effort of EEG Emotion Recognition using Transfer Learning with Soft Labels,IEEE EMBC 2021,2021
- Jin, M., Chen, H., Li, Z., & Li, J.*,EEG-based Emotion Recognition using Graph Convolutional Network with Learnable Adjacency Matrix,IEEE EMBC 2021,2021
- Fan, C., Lv, Zhao., Li, J., & Zhao, G.,Deep Attention Fusion with Joint Training Method for Robust End-to-End Speech Recognition,NCMMSC 2021,2021
- Wang, J., Cong, H., Yin, W., Qi, B., Li, J., Cai, T.,X-ray Image Blind Denoising in Hybrid Noise Based on Convolutional Neural Networks,IW-IDP 2021,2021
- Li, J., Tao, Y., Li, Z., & Cai, T.,Investigating Critical Risk Factors of Liver Cancer with Deep Neural Networks,Computer Methods in Medicine and Health Care,2021
- Chen, H., He, H., Cai, T., & Li, J.*,Enhancing EEG-based Emotion Recognition with Fast Online Instance Transfer,Integrating Artificial Intelligence and IoT for Advanced Health Informatics,2021
- Zhai, P., Tao, Y., Chen, H., Cai, T., & Li, J.*,Multi-task Learning for Lung Nodule Classification on Chest CT,IEEE Access,2020
- Xing, J., Qiu, S., Ma, X., Wu, C., Li, J., Wang, S., & He, H.,A CNN-based Comparing Network for the Detection of Steady-state Visual Evoked Potential Responses,Neurocomputing,2020
- Li, J., Chen, H., & Cai, T.,FOIT: Fast Online Instance Transfer for Improved EEG Emotion Recognition,IEEE BIBM 2020,2020
- Li, J., Qiu, S., Shen, Y. Y., Liu, C. L., & He, H.,Multisource Transfer Learning for Cross-subject EEG Emotion Recognition,IEEE Transactions on Cybernetics,2019
- Li, J., Qiu, S., Du, C., Wang, Y., & He, H.,Domain Adaptation for EEG Emotion Recognition based on Latent Representation Similarity,IEEE Transactions on Cognitive and Developmental Systems,2019
- Du, C., Li, J., Huang, L., & He, H.,Brain Encoding and Decoding in fMRI with Bidirectional Deep Generative Models,Engineering,2019
- Wang, Y., Qiu, S., Zhao, C., Yang, W., Li, J., Ma, X., & He, H.,EEG-Based Emotion Recognition with Prototype-Based Data Representation,IEEE EMBC 2019,2019
- Wang, Y., Qiu, S., Li, J., Ma, X., Liang, Z., Li, H., & He, H.,EEG-based Emotion Recognition with Similarity Learning Network,IEEE EMBC 2019,2019
- Xing, J., Qiu, S., Wu, C., Ma, X., Li, J., & He, H.,A Comparing Network for the Classification of Steady-State Visual Evoked Potential Responses,IEEE CIVEMSA 2019,2019
- Li, J., Zhang, Z., & He, H.,Hierarchical Convolutional Neural Networks for EEG-based Emotion Recognition,Cognitive Computation,2018
- Du, C., Du, C., Wang, H., Li, J., Zheng, W. L., Lu, B. L., & He, H.,Semi-supervised Deep Generative Modelling of Incomplete Multi-modality Emotional Data,ACM MM 2018,2018
- Li, J., Zhang, Z., & He, H.,Implementation of EEG Emotion Recognition System based on Hierarchical Convolutional Neural Networks,BICS 2016,2016
- Li, J., Zhang, Z., & He, H.,Visual Information Processing Mechanism Revealed by fMRI Data,ICBI 2016,2016
- Sun, Q., Li, J., Yu, H.,Predictive Functional Controller for HAWE Generators based on Neural Network,CCC 2013,2013
|
