Lanfen Lin
Orcid: 0000-0003-4098-588X
According to our database1,
Lanfen Lin
authored at least 171 papers
between 2002 and 2024.
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Bibliography
2024
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Bag-Level Classifier is a Good Instance-Level Teacher.
IEEE Trans. Medical Imaging, November, 2024
Segmentation Guided Crossing Dual Decoding Generative Adversarial Network for Synthesizing Contrast-Enhanced Computed Tomography Images.
IEEE J. Biomed. Health Informatics, August, 2024
Knowledge Distillation-Based Domain-Invariant Representation Learning for Domain Generalization.
IEEE Trans. Multim., 2024
An Intra- and Inter-Emotion Transformer-Based Fusion Model with Homogeneous and Diverse Constraints Using Multi-Emotional Audiovisual Features for Depression Detection.
IEICE Trans. Inf. Syst., 2024
SemSim: Revisiting Weak-to-Strong Consistency from a Semantic Similarity Perspective for Semi-supervised Medical Image Segmentation.
CoRR, 2024
M2OST: Many-to-one Regression for Predicting Spatial Transcriptomics from Digital Pathology Images.
CoRR, 2024
LSMS: Language-guided Scale-aware MedSegmentor for Medical Image Referring Segmentation.
CoRR, 2024
CoRR, 2024
M2ORT: Many-To-One Regression Transformer for Spatial Transcriptomics Prediction from Histopathology Images.
CoRR, 2024
Multimodal Fusion with Cross-attention Transformer for HCC Early Recurrence Prediction from Multi-Phase CT and Clinical Data.
Proceedings of the 2024 7th International Conference on Machine Learning and Machine Intelligence (MLMI), 2024
LGA: A Language Guide Adapter for Advancing the SAM Model's Capabilities in Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the IEEE International Conference on Consumer Electronics, 2024
IRLSG: Invariant Representation Learning for Single-Domain Generalization in Medical Image Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2024
k-Uniform Hypergraph Reasoning Network for Focal Liver Lesions Classification in Multimodal Magnetic Resonance Imaging.
Proceedings of the 13th IEEE Global Conference on Consumer Electronics, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-supervised Medical Image Segmentation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization.
IEEE Trans. Knowl. Data Eng., December, 2023
Comput. Biol. Medicine, November, 2023
Multi-Modal Tumor Segmentation With Deformable Aggregation and Uncertain Region Inpainting.
IEEE Trans. Medical Imaging, October, 2023
Adaptive Decomposition and Shared Weight Volumetric Transformer Blocks for Efficient Patch-Free 3D Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, October, 2023
3D Multiple-Contextual ROI-Attention Network for Efficient and Accurate Volumetric Medical Image Segmentation.
IEICE Trans. Inf. Syst., May, 2023
ACM Trans. Knowl. Discov. Data, 2023
TensorFormer: A Tensor-Based Multimodal Transformer for Multimodal Sentiment Analysis and Depression Detection.
IEEE Trans. Affect. Comput., 2023
Modality-invariant temporal representation learning for multimodal sentiment classification.
Inf. Fusion, 2023
Int. J. Comput. Vis., 2023
Modality-invariant and Specific Prompting for Multimodal Human Perception Understanding.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
IS2Net: Intra-domain Semantic and Inter-domain Style Enhancement for Semi-supervised Medical Domain Generalization.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
HSVLT: Hierarchical Scale-Aware Vision-Language Transformer for Multi-Label Image Classification.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Semi-Supervised Convolutional Vision Transformer with Bi-Level Uncertainty Estimation for Medical Image Segmentation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
A hybrid model of deep learning features and clinical features for severe cases predication of COVID-19.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023
CMIR: A Unified Cross-Modality Framework for Preoperative Accurate Prediction of Microvascular Invasion in Hepatocellular Carcinoma.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023
MSPA-DLA++: A Multi-Scale Phase Attention Deep Layer Aggregation for Lesion Detection in Multi-Phase CT Images.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023
SLViT: Scale-Wise Language-Guided Vision Transformer for Referring Image Segmentation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
MedFCT: A Frequency Domain Joint CNN-Transformer Network for Semi-supervised Medical Image Segmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023
MCKD: Mutually Collaborative Knowledge Distillation For Federated Domain Adaptation And Generalization.
Proceedings of the IEEE International Conference on Acoustics, 2023
A Self-Supervised Transformer-Based Model for Early Recurrence Prediction of HCC with Multimodal MRI.
Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023
Integrating Spatial Prior Adapter for Enhancing SAM Performance in Medical Image Segmentation.
Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023
Spatial Attention-Guided Generative Adversarial Network for Synthesizing Contrast-enhanced Computed Tomography Images.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Contrastive Learning for Preoperative Early Recurrence Prediction of Hepatocellular Carcinoma with Liver CT Image and Tumor Mask.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
MVI-Wise GAN: Synthetic MRI to Improve Microvascular Invasion Prediction in Hepatocellular Carcinoma.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Vision-Guided Attention-Enhanced Network for Predicting Microvascular Invasion in Hepatocellular Carcinoma.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Unsupervised Domain Adaptation Using Fourier Phase Enhanced Training Images for Liver Tumors Detection in Multi-phase CT Images.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
ClassFormer: Exploring Class-Aware Dependency with Transformer for Medical Image Segmentation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition.
ACM Trans. Knowl. Discov. Data, 2022
IEEE J. Biomed. Health Informatics, 2022
MTL-ABS<sup>3</sup>Net: Atlas-Based Semi-Supervised Organ Segmentation Network With Multi-Task Learning for Medical Images.
IEEE J. Biomed. Health Informatics, 2022
IEEE Trans. Instrum. Meas., 2022
Mutual Information-Based Graph Co-Attention Networks for Multimodal Prior-Guided Magnetic Resonance Imaging Segmentation.
IEEE Trans. Circuits Syst. Video Technol., 2022
Neurocomputing, 2022
A multi-head pseudo nodes based spatial-temporal graph convolutional network for emotion perception from GAIT.
Neurocomputing, 2022
Super-Resolution Based Patch-Free 3D Medical Image Segmentation with Self-Supervised Guidance.
CoRR, 2022
CubeMLP: A MLP-based Model for Multimodal Sentiment Analysis and Depression Estimation.
CoRR, 2022
Efficient and Accurate Hyperspectral Pansharpening Using 3D VolumeNet and 2.5D Texture Transfer.
CoRR, 2022
Label-Efficient Domain Generalization via Collaborative Exploration and Generalization.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
CubeMLP: An MLP-based Model for Multimodal Sentiment Analysis and Depression Estimation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise
Perspective for Medical Image Segmentation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
A Weakly-Supervised Anomaly Detection Method via Adversarial Training for Medical Images.
Proceedings of the IEEE International Conference on Consumer Electronics, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Deep Learning-based Risk Prediction Model for Recurrence-free Survival in Patients with Hepatocellular Carcinoma Using Multi-phase CT Image.
Proceedings of the 11th IEEE Global Conference on Consumer Electronics, 2022
Synthesizing Contrast-enhanced Computed Tomography Images with an Improved Conditional Generative Adversarial Network.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Unsupervised Domain Adaptation Using Adversarial Learning and Maximum Square Loss for Liver Tumors Detection in Multi-phase CT Images.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Dual Discriminator-Based Unsupervised Domain Adaptation Using Adversarial Learning for Liver Segmentation on Multiphase CT Images.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
Attention-RefNet: Interactive Attention Refinement Network for Infected Area Segmentation of COVID-19.
IEEE J. Biomed. Health Informatics, 2021
VolumeNet: A Lightweight Parallel Network for Super-Resolution of MR and CT Volumetric Data.
IEEE Trans. Image Process., 2021
Multi-Modal Adaptive Fusion Transformer Network for the Estimation of Depression Level.
Sensors, 2021
CoRR, 2021
Learning Domain-Invariant Relationship with Instrumental Variable for Domain Generalization.
CoRR, 2021
PA-ResSeg: A Phase Attention Residual Network for Liver Tumor Segmentation from Multi-phase CT Images.
CoRR, 2021
Accurate and fast mitotic detection using an anchor-free method based on full-scale connection with recurrent deep layer aggregation in 4D microscopy images.
BMC Bioinform., 2021
Genotype-Guided Radiomics Signatures for Recurrence Prediction of Non-Small Cell Lung Cancer.
IEEE Access, 2021
M-DFNet: Multi-phase Discriminative Feature Network for Retrieval of Focal Liver Lesions.
Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021
A Tensor Sparse Representation-Based CBMIR System for Computer-Aided Diagnosis of Focal Liver Lesions and its Pilot Trial.
Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021
Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Patch-Free 3D Medical Image Segmentation Driven by Super-Resolution Technique and Self-Supervised Guidance.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
3D Graph-S<sup>2</sup>Net: Shape-Aware Self-ensembling Network for Semi-supervised Segmentation with Bilateral Graph Convolution.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Graph-BAS<sup>3</sup>Net: Boundary-Aware Semi-Supervised Segmentation Network with Bilateral Graph Convolution.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Automatic Detection and Segmentation of Liver Tumors in Multi- phase CT Images by Phase Attention Mask R-CNN.
Proceedings of the IEEE International Conference on Consumer Electronics, 2021
Graph-Based Pyramid Global Context Reasoning With a Saliency- Aware Projection for Covid-19 Lung Infections Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2021
Improved Genotype-Guided Deep Radiomics Signatures for Recurrence Prediction of Non-Small Cell Lung Cancer.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
Semi-Supervised Learning for Semantic Segmentation of Emphysema With Partial Annotations.
IEEE J. Biomed. Health Informatics, 2020
Tensor-based sparse representations of multi-phase medical images for classification of focal liver lesions.
Pattern Recognit. Lett., 2020
Joined fragment segmentation for fractured bones using GPU-accelerated shape-preserving erosion and dilation.
Medical Biol. Eng. Comput., 2020
VolumeNet: A Lightweight Parallel Network for Super-Resolution of Medical Volumetric Data.
CoRR, 2020
CasCRNN-GL-Net: cascaded convolutional and recurrent neural networks with global and local pathways for classification of focal liver lesions in multi-phase CT images.
Commun. Inf. Syst., 2020
Deep Fusion Models of Multi-Phase CT and Selected Clinical Data for Preoperative Prediction of Early Recurrence in Hepatocellular Carcinoma.
IEEE Access, 2020
Multi-modal Perceptual Adversarial Learning for Longitudinal Prediction of Infant MR Images.
Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020
Multimodal Priors Guided Segmentation of Liver Lesions in MRI Using Mutual Information Based Graph Co-Attention Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the 2nd IEEE Global Conference on Life Sciences and Technologies, 2020
WNET: An End-to-End Atlas-Guided and Boundary-Enhanced Network for Medical Image Segmentation.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the IEEE International Conference on Image Processing, 2020
Scenario-aware and Mutual-based approach for Multi-scenario Recommendation in E-Commerce.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020
Deep Learning Method for Content-Based Retrieval of Focal Liver Lesions Using Multiphase Contrast-Enhanced Computer Tomography Images.
Proceedings of the 2020 IEEE International Conference on Consumer Electronics (ICCE), 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 9th IEEE Global Conference on Consumer Electronics, 2020
Proceedings of the 9th IEEE Global Conference on Consumer Electronics, 2020
Black-Box Adversarial Attacks Against Deep Learning Based Malware Binaries Detection with GAN.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
Proceedings of the Computer Vision - ACCV 2020 Workshops - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020
Parallel-Connected Residual Channel Attention Network for Remote Sensing Image Super-Resolution.
Proceedings of the Computer Vision - ACCV 2020 Workshops - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020
2019
IEEE J. Biomed. Health Informatics, 2019
VesselNet: A deep convolutional neural network with multi pathways for robust hepatic vessel segmentation.
Comput. Medical Imaging Graph., 2019
Semi-supervised Segmentation of Liver Using Adversarial Learning with Deep Atlas Prior.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
A Cascade Attention Network for Liver Lesion Classification in Weakly-Labeled Multi-phase CT Images.
Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019
Proceedings of the 2019 IEEE International Conference on Intelligence and Security Informatics, 2019
Tensor-Based Subspace Learning for Classification of Focal Liver Lesions in Multi-phase CT Images.
Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 2019
Multi-Stream Scale-Insensitive Convolutional and Recurrent Neural Networks for Liver Tumor Detection in Dynamic Ct Images.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
A Dual-Attention Dilated Residual Network for Liver Lesion Classification and Localization on CT Images.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
Deep Learning-Based Radiomics Models for Early Recurrence Prediction of Hepatocellular Carcinoma with Multi-phase CT Images and Clinical Data.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Automatic Detection of Focal Liver Lesions in Multi-phase CT Images Using A Multi-channel & Multi-scale CNN.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
Texture-specific bag of visual words model and spatial cone matching-based method for the retrieval of focal liver lesions using multiphase contrast-enhanced CT images.
Int. J. Comput. Assist. Radiol. Surg., 2018
Residual Convolutional Neural Networks with Global and Local Pathways for Classification of Focal Liver Lesions.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018
Focal Liver Lesion Classification Based on Tensor Sparse Representations of Multi-phase CT Images.
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018
Multi-scale Residual Network with Two Channels of Raw CT Image and Its Differential Excitation Component for Emphysema Classification.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018
Combining Convolutional and Recurrent Neural Networks for Classification of Focal Liver Lesions in Multi-phase CT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Self-taught Learning with Residual Sparse Autoencoders for HEp-2 Cell Staining Pattern Recognition.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Proceedings of the Intelligent Interactive Multimedia Systems and Services, 2018
Classification of Pulmonary Emphysema in CT Images Based on Multi-Scale Deep Convolutional Neural Networks.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Proceedings of the 2018 International Conference on Digital Medicine and Image Processing, 2018
2017
A novel framework to alleviate the sparsity problem in context-aware recommender systems.
New Rev. Hypermedia Multim., 2017
Frontiers Inf. Technol. Electron. Eng., 2017
Sparse Codebook Model of Local Structures for Retrieval of Focal Liver Lesions Using Multiphase Medical Images.
Int. J. Biomed. Imaging, 2017
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017
Tensor Sparse Representation of Temporal Features for Content-Based Retrieval of Focal Liver Lesions Using Multi-phase Medical Images.
Proceedings of the 19th IEEE International Symposium on Multimedia, 2017
Proceedings of the 13th International Conference on Natural Computation, 2017
Joint weber-based rotation invariant uniform local ternary pattern for classification of pulmonary emphysema in CT images.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
2016
J. Inf. Process., 2016
A Novel Framework to Process the Quantity and Quality of User Behavior Data in Recommender Systems.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016
Bag of temporal co-occurrence words for retrieval of focal liver lesions using 3D multiphase contrast-enhanced CT images.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
Proceedings of the 12th International Conference on Natural Computation, 2016
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016
A retrieval system for 3D multi-phase contrast-enhanced CT images of focal liver lesions based on combined bags of visual words and texture words.
Proceedings of the 9th International Congress on Image and Signal Processing, 2016
Confidence-Learning Based Collaborative Filtering with Heterogeneous Implicit Feedbacks.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016
2015
Comput. Biol. Medicine, 2015
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015
Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom/DataCom/SC2 2015, 2015
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015
2014
Graph. Model., 2014
Proceedings of the Web-Age Information Management - 15th International Conference, 2014
Proceedings of the 11th International Conference on Fuzzy Systems and Knowledge Discovery, 2014
Proceedings of the IEEE 18th International Conference on Computer Supported Cooperative Work in Design, 2014
2013
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2013
Proceedings of the 10th International Conference on Fuzzy Systems and Knowledge Discovery, 2013
Proceedings of the Ninth International Conference on Computational Intelligence and Security, 2013
Proceedings of the Advanced Data Mining and Applications, 9th International Conference, 2013
2012
Proceedings of the Virtual Reality Continuum and its Applications in Industry, 2012
Proceedings of the Enterprise Interoperability - 4th International IFIP Working Conference, 2012
Proceedings of the IEEE 16th International Conference on Computer Supported Cooperative Work in Design, 2012
Proceedings of the IEEE 16th International Conference on Computer Supported Cooperative Work in Design, 2012
2009
Research on Ontology-Based Multi-source Engineering Information Retrieval in Integrated Environment of Enterprise.
Proceedings of the International Conference on Interoperability for Enterprise Software and Applications China, 2009
Research on Mass Process-Planning Data Storing and Parallel Accessing in Large-Scale Manufacturing Enterprise.
Proceedings of the 6th CIRP-Sponsored International Conference on Digital Enterprise Technology, 2009
2007
Research on Ontology-based Integrated Product modeling in Multidisciplinary Collaborative Environment.
Proceedings of the 11th International Conference on Computer Supported Cooperative Work in Design, 2007
2005
Proceedings of the Computational Science, 2005
An Ontology-Based Functional Modeling Approach for Multi-agent Distributed Design on the Semantic Web.
Proceedings of the Computer Supported Cooperative Work in Design II, 2005
Proceedings of the Ninth International Conference on Computer Supported Cooperative Work in Design, 2005
Screen-Sharing Technology for Cooperative CAPP System in a Networked Manufacturing Environment.
Proceedings of the Computer Supported Cooperative Work in Design II, 2005
Proceedings of the Ninth International Conference on Computer Supported Cooperative Work in Design, 2005
Study of ASP service lifecycle management technologies for networked manufacturing system.
Proceedings of the Ninth International Conference on Computer Supported Cooperative Work in Design, 2005
2004
Design, modeling and trajectory generation of a kind of four wheeled omni-directional vehicle.
Proceedings of the IEEE International Conference on Systems, 2004
2002
Research on Technology of Product Data Exchange for Internet-Based Distributed Integrated Manufacturing System.
Proceedings of the Seventh International Conference on CSCW in Design, 2002