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Lanfen Lin
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2020 – today
- 2024
- [j38]Shiyu Teng, Jiaqing Liu, Yue Huang, Shurong Chai, Tomoko Tateyama, Xinyin Huang, Lanfen Lin, Yen-Wei Chen:
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. 107(3): 342-353 (2024) - [j37]Ziwei Niu
, Junkun Yuan
, Xu Ma
, Yingying Xu
, Jing Liu
, Yen-Wei Chen
, Ruofeng Tong
, Lanfen Lin
:
Knowledge Distillation-Based Domain-Invariant Representation Learning for Domain Generalization. IEEE Trans. Multim. 26: 245-255 (2024) - [c108]Huimin Huang, Yawen Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Yuexiang Li, Yefeng Zheng:
Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-supervised Medical Image Segmentation. AAAI 2024: 2330-2338 - [c107]Ziwei Niu, Hao Sun, Shuyi Ouyang, Shiao Xie, Yen-Wei Chen, Ruofeng Tong, Lanfen Lin:
IRLSG: Invariant Representation Learning for Single-Domain Generalization in Medical Image Segmentation. ICASSP 2024: 5585-5589 - [c106]Shiyu Teng, Shurong Chai, Jiaqing Liu, Tomoko Tateyama, Lanfen Lin, Yen-Wei Chen:
Multi-Modal and Multi-Task Depression Detection with Sentiment Assistance. ICCE 2024: 1-5 - [i27]Hongyi Wang, Xiuju Du, Jing Liu, Shuyi Ouyang, Yen-Wei Chen, Lanfen Lin:
M2ORT: Many-To-One Regression Transformer for Spatial Transcriptomics Prediction from Histopathology Images. CoRR abs/2401.10608 (2024) - [i26]Xinyao Yu, Hao Sun, Ziwei Niu, Rui Qin, Zhenjia Bai, Yen-Wei Chen, Lanfen Lin:
Memory-Inspired Temporal Prompt Interaction for Text-Image Classification. CoRR abs/2401.14856 (2024) - [i25]Hao Sun, Yu Song, Jihong Hu, Xinyao Yu, Jiaqing Liu, Yen-Wei Chen, Lanfen Lin:
Multimodal Infusion Tuning for Large Models. CoRR abs/2403.05060 (2024) - 2023
- [j36]Jiahua Dong, Guohua Cheng, Yue Zhang, Chengtao Peng, Yu Song, Ruofeng Tong, Lanfen Lin, Yen-Wei Chen:
Tailored multi-organ segmentation with model adaptation and ensemble. Comput. Biol. Medicine 166: 107467 (2023) - [j35]He Li, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Akira Furukawa, Shuzo Kanasaki, Yen-Wei Chen:
3D Multiple-Contextual ROI-Attention Network for Efficient and Accurate Volumetric Medical Image Segmentation. IEICE Trans. Inf. Syst. 106(5): 1027-1037 (2023) - [j34]Junkun Yuan
, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin:
Domain-Specific Bias Filtering for Single Labeled Domain Generalization. Int. J. Comput. Vis. 131(2): 552-571 (2023) - [j33]Hao Sun
, Jiaqing Liu, Yen-Wei Chen, Lanfen Lin:
Modality-invariant temporal representation learning for multimodal sentiment classification. Inf. Fusion 91: 504-514 (2023) - [j32]Hao Sun
, Yen-Wei Chen
, Lanfen Lin
:
TensorFormer: A Tensor-Based Multimodal Transformer for Multimodal Sentiment Analysis and Depression Detection. IEEE Trans. Affect. Comput. 14(4): 2776-2786 (2023) - [j31]Hongyi Wang
, Yingying Xu
, Qingqing Chen
, Ruofeng Tong
, Yen-Wei Chen
, Hongjie Hu
, Lanfen Lin
:
Adaptive Decomposition and Shared Weight Volumetric Transformer Blocks for Efficient Patch-Free 3D Medical Image Segmentation. IEEE J. Biomed. Health Informatics 27(10): 4854-4865 (2023) - [j30]Junkun Yuan
, Xu Ma
, Ruoxuan Xiong
, Mingming Gong
, Xiangyu Liu
, Fei Wu
, Lanfen Lin
, Kun Kuang
:
Instrumental Variable-Driven Domain Generalization with Unobserved Confounders. ACM Trans. Knowl. Discov. Data 17(8): 118:1-118:21 (2023) - [j29]Junkun Yuan
, Xu Ma
, Defang Chen
, Fei Wu
, Lanfen Lin
, Kun Kuang
:
Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization. IEEE Trans. Knowl. Data Eng. 35(12): 12528-12541 (2023) - [j28]Yue Zhang
, Chengtao Peng
, Ruofeng Tong
, Lanfen Lin
, Yen-Wei Chen
, Qingqing Chen
, Hongjie Hu, S. Kevin Zhou
:
Multi-Modal Tumor Segmentation With Deformable Aggregation and Uncertain Region Inpainting. IEEE Trans. Medical Imaging 42(10): 3091-3103 (2023) - [c105]Huimin Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Hong Wang, Yuexiang Li, Yawen Huang, Yefeng Zheng:
ClassFormer: Exploring Class-Aware Dependency with Transformer for Medical Image Segmentation. AAAI 2023: 917-925 - [c104]Huimin Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Yuexiang Li, Hong Wang, Yawen Huang, Yefeng Zheng:
SemiCVT: Semi-Supervised Convolutional Vision Transformer for Semantic Segmentation. CVPR 2023: 11340-11349 - [c103]Rahul Kumar Jain
, Takahiro Sato, Ahmed M. El-Sayed, Taro Watasue, Tomohiro Nakagawa, Yutaro Iwamoto, Yinhao Li, Xianhua Han, Lanfen Lin, Hongjie Hu, Xiang Ruan, Yen-Wei Chen:
Unsupervised Domain Adaptation Using Fourier Phase Enhanced Training Images for Liver Tumors Detection in Multi-phase CT Images. EMBC 2023: 1-4 - [c102]Jing Liu, Jing Ma, Yang Ai, Jiayue Zhao, Fang Wang, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Jingsong Li:
Vision-Guided Attention-Enhanced Network for Predicting Microvascular Invasion in Hepatocellular Carcinoma. EMBC 2023: 1-4 - [c101]Jing Liu, Yulin Yang, Yang Ai, Titinunt Kitrungrotsakul, Fang Wang, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Jingsong Li:
MVI-Wise GAN: Synthetic MRI to Improve Microvascular Invasion Prediction in Hepatocellular Carcinoma. EMBC 2023: 1-4 - [c100]Yingying Xu, Jiayue Zhao, Qingqing Chen, Fang Wang, Lanfen Lin, Hongjie Hu, Ruofeng Tong, Jingsong Li
, Yen-Wei Chen:
Contrastive Learning for Preoperative Early Recurrence Prediction of Hepatocellular Carcinoma with Liver CT Image and Tumor Mask. EMBC 2023: 1-4 - [c99]Yulin Yang, Yinhao Li, Qingqing Chen, Xian-Hua Han, Jing Liu
, Lanfen Lin, Hongjie Hu, Yen-Wei Chen:
Spatial Attention-Guided Generative Adversarial Network for Synthesizing Contrast-enhanced Computed Tomography Images. EMBC 2023: 1-4 - [c98]Xianru Zhang, Gan Zhan, Fang Wang, Yinhao Li, Lanfen Lin, Hongjie Hu, Yen-Wei Chen:
A Self-Supervised Transformer-Based Model for Early Recurrence Prediction of HCC with Multimodal MRI. GCCE 2023: 16-19 - [c97]Jihong Hu, Yinhao Li, Lanfen Lin, Yen-Wei Chen:
Integrating Spatial Prior Adapter for Enhancing SAM Performance in Medical Image Segmentation. GCCE 2023: 20-23 - [c96]Ziwei Niu, Hongyi Wang, Hao Sun
, Shuyi Ouyang, Yen-Wei Chen, Lanfen Lin:
MCKD: Mutually Collaborative Knowledge Distillation For Federated Domain Adaptation And Generalization. ICASSP 2023: 1-5 - [c95]Shiao Xie, Huimin Huang, Ziwei Niu, Lanfen Lin, Yen-Wei Chen:
MedFCT: A Frequency Domain Joint CNN-Transformer Network for Semi-supervised Medical Image Segmentation. ICME 2023: 1913-1918 - [c94]Shuyi Ouyang, Hongyi Wang, Shiao Xie, Ziwei Niu, Ruofeng Tong, Yen-Wei Chen, Lanfen Lin:
SLViT: Scale-Wise Language-Guided Vision Transformer for Referring Image Segmentation. IJCAI 2023: 1294-1302 - [c93]Titinunt Kitrungrotsakul, Yingying Xu, Qingqing Chen, Jing Liu, Yinhao Li, Lanfen Lin, Hongjie Hu, Ruofeng Tong, Jingsong Li
, Yen-Wei Chen:
MSPA-DLA++: A Multi-Scale Phase Attention Deep Layer Aggregation for Lesion Detection in Multi-Phase CT Images. MedInfo 2023: 901-905 - [c92]Jing Liu, Yang Ai, Chao Huang, Fang Wang, Yingying Xu, Titinunt Kitrungrotsakul, Jing Ma, Lanfen Lin, Yen-Wei Chen, Jingsong Li:
CMIR: A Unified Cross-Modality Framework for Preoperative Accurate Prediction of Microvascular Invasion in Hepatocellular Carcinoma. MedInfo 2023: 936-940 - [c91]Titinunt Kitrungrotsakul, Qingqing Chen, Huitao Wu, Preeyanuch Srichola, Hongjie Hu, Wenchao Zhu, Chao Chen, Fangyi Xu, Yong Zhou, Lanfen Lin, Ruofeng Tong, Jingsong Li
, Yen-Wei Chen:
A hybrid model of deep learning features and clinical features for severe cases predication of COVID-19. Medical Imaging: Computer-Aided Diagnosis 2023 - [c90]Hongyi Wang, Luyang Luo, Fang Wang, Ruofeng Tong, Yen-Wei Chen, Hongjie Hu, Lanfen Lin, Hao Chen:
Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification. MICCAI (6) 2023: 467-476 - [c89]Shuyi Ouyang
, Hongyi Wang
, Ziwei Niu
, Zhenjia Bai
, Shiao Xie
, Yingying Xu
, Ruofeng Tong
, Yen-Wei Chen
, Lanfen Lin
:
HSVLT: Hierarchical Scale-Aware Vision-Language Transformer for Multi-Label Image Classification. ACM Multimedia 2023: 4768-4777 - [c88]Huimin Huang
, Yawen Huang
, Shiao Xie
, Lanfen Lin
, Ruofeng Tong, Yen-Wei Chen
, Yuexiang Li
, Yefeng Zheng
:
Semi-Supervised Convolutional Vision Transformer with Bi-Level Uncertainty Estimation for Medical Image Segmentation. ACM Multimedia 2023: 5214-5222 - [c87]Shiao Xie
, Ziwei Niu
, Huimin Huang
, Hao Sun
, Rui Qin
, Yen-Wei Chen
, Lanfen Lin
:
IS2Net: Intra-domain Semantic and Inter-domain Style Enhancement for Semi-supervised Medical Domain Generalization. ACM Multimedia 2023: 8285-8293 - [c86]Junkun Yuan, Xinyu Zhang, Hao Zhou, Jian Wang, Zhongwei Qiu, Zhiyin Shao, Shaofeng Zhang, Sifan Long, Kun Kuang, Kun Yao, Junyu Han, Errui Ding, Lanfen Lin, Fei Wu, Jingdong Wang:
HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception. NeurIPS 2023 - [i24]Hongyi Wang, Luyang Luo, Fang Wang, Ruofeng Tong, Yen-Wei Chen, Hongjie Hu, Lanfen Lin, Hao Chen:
Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification. CoRR abs/2303.15749 (2023) - [i23]Jiahua Dong, Guohua Cheng, Yue Zhang, Chengtao Peng, Yu Song, Ruofeng Tong, Lanfen Lin, Yen-Wei Chen:
Tailored Multi-Organ Segmentation with Model Adaptation and Ensemble. CoRR abs/2304.07123 (2023) - [i22]Junkun Yuan, Xinyu Zhang, Hao Zhou, Jian Wang, Zhongwei Qiu, Zhiyin Shao, Shaofeng Zhang, Sifan Long, Kun Kuang, Kun Yao, Junyu Han, Errui Ding, Lanfen Lin, Fei Wu, Jingdong Wang:
HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception. CoRR abs/2310.20695 (2023) - [i21]Hao Sun, Ziwei Niu, Xinyao Yu, Jiaqing Liu, Yen-Wei Chen, Lanfen Lin:
Modality-invariant and Specific Prompting for Multimodal Human Perception Understanding. CoRR abs/2311.10791 (2023) - [i20]Hongyi Wang, Luyang Luo, Fang Wang, Ruofeng Tong, Yen-Wei Chen, Hongjie Hu, Lanfen Lin, Hao Chen:
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Bag-Level Classifier is a Good Instance-Level Teacher. CoRR abs/2312.01099 (2023) - 2022
- [j27]Xu Ma, Junkun Yuan, Yen-Wei Chen, Ruofeng Tong, Lanfen Lin:
Attention-based cross-layer domain alignment for unsupervised domain adaptation. Neurocomputing 499: 1-10 (2022) - [j26]Shurong Chai, Jiaqing Liu, Rahul Kumar Jain
, Tomoko Tateyama, Yutaro Iwamoto, Lanfen Lin, Yen-Wei Chen:
A multi-head pseudo nodes based spatial-temporal graph convolutional network for emotion perception from GAIT. Neurocomputing 511: 437-447 (2022) - [j25]Shaocong Mo
, Ming Cai
, Lanfen Lin
, Ruofeng Tong
, Qingqing Chen
, Fang Wang, Hongjie Hu, Yutaro Iwamoto
, Xian-Hua Han
, Yen-Wei Chen
:
Mutual Information-Based Graph Co-Attention Networks for Multimodal Prior-Guided Magnetic Resonance Imaging Segmentation. IEEE Trans. Circuits Syst. Video Technol. 32(5): 2512-2526 (2022) - [j24]Zhaolin Qiu
, Jiaqing Liu
, Hao Sun
, Lanfen Lin
, Yen-Wei Chen
:
CoSTHR: A Heart Rate Estimating Network With Adaptive Color Space Transformation. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [j23]Yue Zhang
, Chengtao Peng
, Liying Peng, Yingying Xu
, Lanfen Lin
, Ruofeng Tong
, Zhiyi Peng, Xiongwei Mao, Hongjie Hu, Yen-Wei Chen
, Jingsong Li
:
DeepRecS: From RECIST Diameters to Precise Liver Tumor Segmentation. IEEE J. Biomed. Health Informatics 26(2): 614-625 (2022) - [j22]Huimin Huang
, Qingqing Chen
, Lanfen Lin
, Ming Cai
, Qiaowei Zhang, Yutaro Iwamoto
, Xianhua Han
, Akira Furukawa, Shuzo Kanasaki, Yen-Wei Chen
, Ruofeng Tong
, Hongjie Hu:
MTL-ABS3Net: Atlas-Based Semi-Supervised Organ Segmentation Network With Multi-Task Learning for Medical Images. IEEE J. Biomed. Health Informatics 26(8): 3988-3998 (2022) - [j21]Junkun Yuan
, Anpeng Wu, Kun Kuang, Bo Li, Runze Wu, Fei Wu, Lanfen Lin:
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition. ACM Trans. Knowl. Discov. Data 16(4): 74:1-74:20 (2022) - [c85]Rahul Kumar Jain
, Takahiro Sato, Taro Watasue, Tomohiro Nakagawa, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Hongjie Hu, Xiang Ruan, Yen-Wei Chen:
Unsupervised Domain Adaptation Using Adversarial Learning and Maximum Square Loss for Liver Tumors Detection in Multi-phase CT Images. EMBC 2022: 1536-1539 - [c84]Swathi Ananda, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Hongjie Hu, Yen-Wei Chen:
Dual Discriminator-Based Unsupervised Domain Adaptation Using Adversarial Learning for Liver Segmentation on Multiphase CT Images. EMBC 2022: 1552-1555 - [c83]Yulin Yang, Yutaro Iwamoto, Yen-Wei Chen, Caie Xu, Qingqing Chen, Hongjie Hu, Xian-Hua Han, Ruofeng Tong, Lanfen Lin:
Synthesizing Contrast-enhanced Computed Tomography Images with an Improved Conditional Generative Adversarial Network. EMBC 2022: 2097-2100 - [c82]Weibin Wang, Fang Wang, Yunjun Yang, Yinhao Li, Jing Liu, Xianhua Han, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Yen-Wei Chen:
Deep Learning-based Risk Prediction Model for Recurrence-free Survival in Patients with Hepatocellular Carcinoma Using Multi-phase CT Image. GCCE 2022: 926-929 - [c81]Hongyi Wang, Shiao Xie, Lanfen Lin, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong:
Mixed Transformer U-Net for Medical Image Segmentation. ICASSP 2022: 2390-2394 - [c80]He Li, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Akira Furukawa, Shuzo Kanasaki, Yen-Wei Chen:
A Weakly-Supervised Anomaly Detection Method via Adversarial Training for Medical Images. ICCE 2022: 1-4 - [c79]Huimin Huang, Shiao Xie, Lanfen Lin, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong:
ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise Perspective for Medical Image Segmentation. IJCAI 2022: 964-971 - [c78]He Li
, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Hongjie Hu, Yen-Wei Chen:
An Accurate Unsupervised Liver Lesion Detection Method Using Pseudo-lesions. MICCAI (8) 2022: 214-223 - [c77]Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin:
Label-Efficient Domain Generalization via Collaborative Exploration and Generalization. ACM Multimedia 2022: 2361-2370 - [c76]Hao Sun
, Hongyi Wang, Jiaqing Liu, Yen-Wei Chen, Lanfen Lin:
CubeMLP: An MLP-based Model for Multimodal Sentiment Analysis and Depression Estimation. ACM Multimedia 2022: 3722-3729 - [i19]Xu Ma, Junkun Yuan, Yen-Wei Chen, Ruofeng Tong, Lanfen Lin:
Attention-based Cross-Layer Domain Alignment for Unsupervised Domain Adaptation. CoRR abs/2202.13310 (2022) - [i18]Yinhao Li, Yutaro Iwamoto, Ryousuke Nakamura, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen:
Efficient and Accurate Hyperspectral Pansharpening Using 3D VolumeNet and 2.5D Texture Transfer. CoRR abs/2203.03951 (2022) - [i17]Hao Sun, Hongyi Wang, Jiaqing Liu, Yen-Wei Chen, Lanfen Lin:
CubeMLP: A MLP-based Model for Multimodal Sentiment Analysis and Depression Estimation. CoRR abs/2207.14087 (2022) - [i16]Huimin Huang, Shiao Xie, Lanfen Lin, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Ruofeng Tong:
ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise Perspective for Medical Image Segmentation. CoRR abs/2207.14552 (2022) - [i15]Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin:
Label-Efficient Domain Generalization via Collaborative Exploration and Generalization. CoRR abs/2208.03644 (2022) - [i14]Hongyi Wang, Lanfen Lin, Hongjie Hu, Qingqing Chen, Yinhao Li, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong:
Super-Resolution Based Patch-Free 3D Medical Image Segmentation with Self-Supervised Guidance. CoRR abs/2210.14645 (2022) - 2021
- [j20]Panyanat Aonpong
, Yutaro Iwamoto
, Xian-Hua Han
, Lanfen Lin
, Yen-Wei Chen
:
Genotype-Guided Radiomics Signatures for Recurrence Prediction of Non-Small Cell Lung Cancer. IEEE Access 9: 90244-90254 (2021) - [j19]Titinunt Kitrungrotsakul, Yutaro Iwamoto, Satoko Takemoto
, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Lanfen Lin, Ruofeng Tong, Jingsong Li
, Yen-Wei Chen:
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. 22(1): 91 (2021) - [j18]Hao Sun
, Jiaqing Liu
, Shurong Chai, Zhaolin Qiu, Lanfen Lin, Xinyin Huang, Yen-Wei Chen:
Multi-Modal Adaptive Fusion Transformer Network for the Estimation of Depression Level. Sensors 21(14): 4764 (2021) - [j17]Yinhao Li
, Yutaro Iwamoto
, Lanfen Lin
, Rui Xu
, Ruofeng Tong
, Yen-Wei Chen
:
VolumeNet: A Lightweight Parallel Network for Super-Resolution of MR and CT Volumetric Data. IEEE Trans. Image Process. 30: 4840-4854 (2021) - [j16]Titinunt Kitrungrotsakul
, Qingqing Chen
, Huitao Wu
, Yutaro Iwamoto
, Hongjie Hu, Wenchao Zhu, Chao Chen, Fangyi Xu, Yong Zhou, Lanfen Lin
, Ruofeng Tong
, Jingsong Li
, Yen-Wei Chen
:
Attention-RefNet: Interactive Attention Refinement Network for Infected Area Segmentation of COVID-19. IEEE J. Biomed. Health Informatics 25(7): 2363-2373 (2021) - [j15]Huimin Huang
, Han Zheng, Lanfen Lin
, Ming Cai
, Hongjie Hu, Qiaowei Zhang, Qingqing Chen
, Yutaro Iwamoto
, Xianhua Han
, Yen-Wei Chen
, Ruofeng Tong
:
Medical Image Segmentation With Deep Atlas Prior. IEEE Trans. Medical Imaging 40(12): 3519-3530 (2021) - [c75]Panyanat Aonpong, Yutaro Iwamoto, Xian-Hua Han, Lanfen Lin, Yen-Wei Chen:
Improved Genotype-Guided Deep Radiomics Signatures for Recurrence Prediction of Non-Small Cell Lung Cancer. EMBC 2021: 3561-3564 - [c74]Huimin Huang, Ming Cai, Lanfen Lin, Jing Zheng, Xiongwei Mao, Xiaohan Qian, Zhiyi Peng, Jianying Zhou, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong:
Graph-Based Pyramid Global Context Reasoning With a Saliency- Aware Projection for Covid-19 Lung Infections Segmentation. ICASSP 2021: 1050-1054 - [c73]Ryo Hasegawa, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Hongjie Hu, Xiujun Cai, Yen-Wei Chen:
Automatic Detection and Segmentation of Liver Tumors in Multi- phase CT Images by Phase Attention Mask R-CNN. ICCE 2021: 1-5 - [c72]Huimin Huang, Lanfen Lin, Yue Zhang, Yingying Xu, Jing Zheng, Xiongwei Mao, Xiaohan Qian, Zhiyi Peng, Jianying Zhou, Yen-Wei Chen, Ruofeng Tong:
Graph-BAS3Net: Boundary-Aware Semi-Supervised Segmentation Network with Bilateral Graph Convolution. ICCV 2021: 7366-7375 - [c71]Yue Zhang, Chengtao Peng, Liying Peng, Huimin Huang, Ruofeng Tong, Lanfen Lin, Jingsong Li
, Yen-Wei Chen, Qingqing Chen, Hongjie Hu, Zhiyi Peng:
Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting. MICCAI (1) 2021: 68-77 - [c70]Hongyi Wang, Lanfen Lin, Hongjie Hu, Qingqing Chen, Yinhao Li, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong:
Patch-Free 3D Medical Image Segmentation Driven by Super-Resolution Technique and Self-Supervised Guidance. MICCAI (1) 2021: 131-141 - [c69]Huimin Huang, Nan Zhou, Lanfen Lin, Hongjie Hu, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong:
3D Graph-S2Net: Shape-Aware Self-ensembling Network for Semi-supervised Segmentation with Bilateral Graph Convolution. MICCAI (2) 2021: 416-427 - [c68]Jian Wang, Xian-Hua Han, Lanfen Lin, Hongjie Hu, Yen-Wei Chen:
A Tensor Sparse Representation-Based CBMIR System for Computer-Aided Diagnosis of Focal Liver Lesions and its Pilot Trial. ICMR 2021: 660-666 - [c67]Yingying Xu, Jing Liu, Lanfen Lin, Hongjie Hu, Ruofeng Tong, Jingsong Li, Yen-Wei Chen:
M-DFNet: Multi-phase Discriminative Feature Network for Retrieval of Focal Liver Lesions. ICMR 2021: 667-673 - [i13]Yingying Xu, Ming Cai, Lanfen Lin, Yue Zhang, Hongjie Hu, Zhiyi Peng, Qiaowei Zhang, Qingqing Chen, Xiongwei Mao, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong:
PA-ResSeg: A Phase Attention Residual Network for Liver Tumor Segmentation from Multi-phase CT Images. CoRR abs/2103.00274 (2021) - [i12]Huimin Huang, Ming Cai, Lanfen Lin, Jing Zheng, Xiongwei Mao, Xiaohan Qian, Zhiyi Peng, Jianying Zhou, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong:
Graph-based Pyramid Global Context Reasoning with a Saliency-aware Projection for COVID-19 Lung Infections Segmentation. CoRR abs/2103.04235 (2021) - [i11]Panyanat Aonpong, Yutaro Iwamoto, Xian-Hua Han, Lanfen Lin, Yen-Wei Chen:
Genotype-Guided Radiomics Signatures for Recurrence Prediction of Non-Small-Cell Lung Cancer. CoRR abs/2104.14420 (2021) - [i10]Junkun Yuan, Anpeng Wu, Kun Kuang, Bo Li, Runze Wu, Fei Wu, Lanfen Lin:
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition. CoRR abs/2107.05884 (2021) - [i9]Yue Zhang, Chengtao Peng, Liying Peng, Huimin Huang, Ruofeng Tong, Lanfen Lin, Jingsong Li, Yen-Wei Chen, Qingqing Chen, Hongjie Hu, Zhiyi Peng:
Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting. CoRR abs/2108.00911 (2021) - [i8]Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin:
Domain-Specific Bias Filtering for Single Labeled Domain Generalization. CoRR abs/2110.00726 (2021) - [i7]Junkun Yuan, Xu Ma, Kun Kuang, Ruoxuan Xiong, Mingming Gong, Lanfen Lin:
Learning Domain-Invariant Relationship with Instrumental Variable for Domain Generalization. CoRR abs/2110.01438 (2021) - [i6]Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin:
Do We Need to Directly Access the Source Datasets for Domain Generalization? CoRR abs/2110.06736 (2021) - [i5]Hongyi Wang, Shiao Xie, Lanfen Lin, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong:
Mixed Transformer U-Net For Medical Image Segmentation. CoRR abs/2111.04734 (2021) - 2020
- [j14]Weibin Wang
, Qingqing Chen, Yutaro Iwamoto
, Panyanat Aonpong
, Lanfen Lin
, Hongjie Hu, Qiaowei Zhang, Yen-Wei Chen:
Deep Fusion Models of Multi-Phase CT and Selected Clinical Data for Preoperative Prediction of Early Recurrence in Hepatocellular Carcinoma. IEEE Access 8: 139212-139220 (2020) - [j13]Dong Liang, Yingying Xu, Lanfen Lin, Nan Zhou, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Xianhua Han, Yutaro Iwamoto, Yen-Wei Chen:
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. 20(4): 415-442 (2020) - [j12]Yue Zhang, Ruofeng Tong
, Dan Song, Xiaobo Yan, Lanfen Lin, Jian Wu:
Joined fragment segmentation for fractured bones using GPU-accelerated shape-preserving erosion and dilation. Medical Biol. Eng. Comput. 58(1): 155-170 (2020) - [j11]Jian Wang
, Jing Li, Xian-Hua Han, Lanfen Lin, Hongjie Hu, Yingying Xu, Qingqing Chen, Yutaro Iwamoto, Yen-Wei Chen:
Tensor-based sparse representations of multi-phase medical images for classification of focal liver lesions. Pattern Recognit. Lett. 130: 207-215 (2020) - [j10]Liying Peng
, Lanfen Lin
, Hongjie Hu, Yue Zhang, Huali Li, Yutaro Iwamoto
, Xian-Hua Han
, Yen-Wei Chen:
Semi-Supervised Learning for Semantic Segmentation of Emphysema With Partial Annotations. IEEE J. Biomed. Health Informatics 24(8): 2327-2336 (2020) - [c66]Yinhao Li
, Yutaro Iwamoto
, Lanfen Lin
, Yen-Wei Chen
:
Parallel-Connected Residual Channel Attention Network for Remote Sensing Image Super-Resolution. ACCV Workshops 2020: 18-30 - [c65]Yuan Zhuang, Lanfen Lin, Ruofeng Tong, Jiaqing Liu, Yutaro Iwamoto, Yen-Wei Chen:
G-GCSN: Global Graph Convolution Shrinkage Network for Emotion Perception from Gait. ACCV Workshops 2020: 46-57 - [c64]Junkun Yuan, Shaofang Zhou, Lanfen Lin, Feng Wang, Jia Cui:
Black-Box Adversarial Attacks Against Deep Learning Based Malware Binaries Detection with GAN. ECAI 2020: 2536-2542 - [c63]Toshiki Kawahara, Yinhao Li, Yutaro Iwamoto, Lanfen Lin, Yen-Wei Chen:
A Lightweight Deep Network for 3D Medical Image Segmentation. GCCE 2020: 663-666 - [c62]Hikari Jinbo, Titinunt Kitrungrotsakul, Yutaro Iwamoto, Lanfen Lin, Hongjie Hu, Yen-Wei Chen:
Development of an Interactive Semantic Medical Image Segmentation System. GCCE 2020: 678-681 - [c61]Huimin Huang, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Jian Wu:
UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation. ICASSP 2020: 1055-1059 - [c60]Yusuke Yoshinobu, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Yen-Wei Chen:
Deep Learning Method for Content-Based Retrieval of Focal Liver Lesions Using Multiphase Contrast-Enhanced Computer Tomography Images. ICCE 2020: 1-4 - [c59]Yuting Chen, Yanshi Wang, Yabo Ni, Anxiang Zeng, Lanfen Lin:
Scenario-aware and Mutual-based approach for Multi-scenario Recommendation in E-Commerce. ICDM (Workshops) 2020: 127-135 - [c58]Yaopeng Peng, Danny Z. Chen, Lanfen Lin:
Visual Relationship Detection With A Deep Convolutional Relationship Network. ICIP 2020: 1461-1465 - [c57]Huimin Huang, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Jian Wu:
WNET: An End-to-End Atlas-Guided and Boundary-Enhanced Network for Medical Image Segmentation. ISBI 2020: 763-766 - [c56]Ryo Hasegawa, Yutaro Iwamoto, Lanfen Lin, Hongjie Hu, Yen-Wei Chen:
Automatic Segmentation of Liver Tumor in Multiphase CT Images by Mask R-CNN. LifeTech 2020: 231-234 - [c55]Liying Peng, Lanfen Lin, Yusen Lin, Yue Zhang, Roza M. Vlasova, Juan Prieto, Yen-Wei Chen, Guido Gerig, Martin Styner:
Multi-modal Perceptual Adversarial Learning for Longitudinal Prediction of Infant MR Images. ASMUS/PIPPI@MICCAI 2020: 284-294 - [c54]Shaocong Mo, Ming Cai, Lanfen Lin, Ruofeng Tong, Qingqing Chen, Fang Wang, Hongjie Hu, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen:
Multimodal Priors Guided Segmentation of Liver Lesions in MRI Using Mutual Information Based Graph Co-Attention Networks. MICCAI (4) 2020: 429-438 - [i4]Huimin Huang, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Jian Wu:
UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation. CoRR abs/2004.08790 (2020) - [i3]Titinunt Kitrungrotsakul, Yutaro Iwamoto, Lanfen Lin, Ruofeng Tong, Jingsong Li, Yen-Wei Chen:
Interactive Deep Refinement Network for Medical Image Segmentation. CoRR abs/2006.15320 (2020) - [i2]Yinhao Li, Yutaro Iwamoto, Lanfen Lin, Rui Xu, Yen-Wei Chen:
VolumeNet: A Lightweight Parallel Network for Super-Resolution of Medical Volumetric Data. CoRR abs/2010.08357 (2020) - [i1]Yuting Chen, Yanshi Wang, Yabo Ni, Anxiang Zeng, Lanfen Lin:
Scenario-aware and Mutual-based approach for Multi-scenario Recommendation in E-Commerce. CoRR abs/2012.08952 (2020)
2010 – 2019
- 2019
- [j9]Titinunt Kitrungrotsakul
, Xian-Hua Han, Yutaro Iwamoto, Lanfen Lin
, Amir Hossein Foruzan
, Wei Xiong, Yen-Wei Chen:
VesselNet: A deep convolutional neural network with multi pathways for robust hepatic vessel segmentation. Comput. Medical Imaging Graph. 75: 74-83 (2019) - [j8]Liying Peng
, Yen-Wei Chen, Lanfen Lin
, Hongjie Hu, Huali Li, Qingqing Chen, Xiaoli Ling, Dan Wang, Xianhua Han
, Yutaro Iwamoto
:
Classification and Quantification of Emphysema Using a Multi-Scale Residual Network. IEEE J. Biomed. Health Informatics 23(6): 2526-2536 (2019) - [c53]Yoshihiro Todoroki, Yutaro Iwamoto, Lanfen Lin, Hongjie Hu, Yen-Wei Chen:
Automatic Detection of Focal Liver Lesions in Multi-phase CT Images Using A Multi-channel & Multi-scale CNN. EMBC 2019: 872-875 - [c52]Weibin Wang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han, Qiaowei Zhang, Hongjie Hu, Lanfen Lin, Yen-Wei Chen:
Deep Learning-Based Radiomics Models for Early Recurrence Prediction of Hepatocellular Carcinoma with Multi-phase CT Images and Clinical Data. EMBC 2019: 4881-4884 - [c51]Dong Liang, Lanfen Lin, Rui Wang, Jie Shao, Changhu Wang, Yen-Wei Chen:
Unsupervised Teacher-Student Model for Large-Scale Video Retrieval. ICCV Workshops 2019: 1863-1867 - [c50]Xiao Chen, Jian Wu, Lanfen Lin, Dong Liang, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong:
A Dual-Attention Dilated Residual Network for Liver Lesion Classification and Localization on CT Images. ICIP 2019: 235-239 - [c49]Dong Liang, Ruofeng Tong, Jian Wu, Lanfen Lin, Xiao Chen, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen:
Multi-Stream Scale-Insensitive Convolutional and Recurrent Neural Networks for Liver Tumor Detection in Dynamic Ct Images. ICIP 2019: 794-798 - [c48]Jian Song, Sihang Zhu, Lanfen Lin, Hongjie Hu, Yen-Wei Chen:
Tensor-Based Subspace Learning for Classification of Focal Liver Lesions in Multi-phase CT Images. ICNC-FSKD 2019: 601-608 - [c47]Shaofang Zhou, Lanfen Lin, Junkun Yuan, Feng Wang, Zhaoting Ling, Jia Cui:
CNN-based DGA Detection with High Coverage. ISI 2019: 62-67 - [c46]Xiao Chen, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Ruofeng Tong, Jian Wu:
A Cascade Attention Network for Liver Lesion Classification in Weakly-Labeled Multi-phase CT Images. DART/MIL3ID@MICCAI 2019: 129-138 - [c45]Han Zheng, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Ruofeng Tong, Jian Wu:
Semi-supervised Segmentation of Liver Using Adversarial Learning with Deep Atlas Prior. MICCAI (6) 2019: 148-156 - 2018
- [j7]Yingying Xu, Lanfen Lin, Hongjie Hu, Dan Wang, Wenchao Zhu, Jian Wang, Xian-Hua Han, Yen-Wei Chen:
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. 13(1): 151-164 (2018) - [c44]Weibin Wang, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Qingqing Chen, Dong Liang, Lanfen Lin, Hongjie Hu, Qiaowei Zhang:
Classification of Focal Liver Lesions Using Deep Learning with Fine-Tuning. DMIP 2018: 56-60 - [c43]Liying Peng, Lanfen Lin, Hongjie Hu, Huali Li, Xiaoli Ling, Dan Wang, Xianhua Han, Yutaro Iwamoto, Yen-Wei Chen:
Classification of Pulmonary Emphysema in CT Images Based on Multi-Scale Deep Convolutional Neural Networks. ICIP 2018: 3119-3123 - [c42]Titinunt Kitrungrotsakul, Yutaro Iwamoto, Xian-Hua Han, Wei Xiong, Lanfen Lin, Hongjie Hu, Huiyan Jiang, Yen-Wei Chen:
Interactive Liver Segmentation in CT Volumes Using Fully Convolutional Networks. IIMSS 2018: 216-222 - [c41]Liying Peng, Lanfen Lin, Hongjie Hu, Huali Li, Qingqing Chen, Dan Wang, Xian-Hua Han, Yutaro Iwamoto, Yen-Wei Chen:
Multi-scale Residual Network with Two Channels of Raw CT Image and Its Differential Excitation Component for Emphysema Classification. DLMIA/ML-CDS@MICCAI 2018: 38-46 - [c40]Xian-Hua Han, JiandDe Sun, Lanfen Lin, Yen-Wei Chen:
Self-taught Learning with Residual Sparse Autoencoders for HEp-2 Cell Staining Pattern Recognition. MLMI@MICCAI 2018: 134-142 - [c39]Dong Liang, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen:
Combining Convolutional and Recurrent Neural Networks for Classification of Focal Liver Lesions in Multi-phase CT Images. MICCAI (2) 2018: 666-675 - [c38]Jian Wang, Xian-Hua Han, Jiande Sun, Lanfen Lin, Hongjie Hu, Yingying Xu, Qingqing Chen, Yen-Wei Chen:
Focal Liver Lesion Classification Based on Tensor Sparse Representations of Multi-phase CT Images. PCM (2) 2018: 696-704 - [c37]Dong Liang, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen:
Residual Convolutional Neural Networks with Global and Local Pathways for Classification of Focal Liver Lesions. PRICAI (1) 2018: 617-628 - 2017
- [j6]Jian Wang
, Xian-Hua Han, Yingying Xu, Lanfen Lin, Hongjie Hu, Chongwu Jin, Yen-Wei Chen
:
Sparse Codebook Model of Local Structures for Retrieval of Focal Liver Lesions Using Multiphase Medical Images. Int. J. Biomed. Imaging 2017: 1413297:1-1413297:13 (2017) - [j5]Jing Wang
, Lanfen Lin, Heng Zhang, Jiaqi Tu, Penghua Yu:
A novel confidence estimation method for heterogeneous implicit feedback. Frontiers Inf. Technol. Electron. Eng. 18(11): 1817-1827 (2017) - [j4]Penghua Yu, Lanfen Lin, Jing Wang:
A novel framework to alleviate the sparsity problem in context-aware recommender systems. New Rev. Hypermedia Multim. 23(2): 141-158 (2017) - [c36]Liying Peng, Lanfen Lin, Hongjie Hu, Xiaoli Ling, Dan Wang, Xian-Hua Han, Yen-Wei Chen:
Joint weber-based rotation invariant uniform local ternary pattern for classification of pulmonary emphysema in CT images. ICIP 2017: 2050-2054 - [c35]Feng Wang, Lanfen Lin:
Exploiting semantic knowledge base for patent retrieval. ICNC-FSKD 2017: 2195-2200 - [c34]Jian Wang, Xian-Hua Han, Yingying Xu, Lanfen Lin, Hongjie Hu, Chongwu Jin, Yen-Wei Chen:
Tensor Sparse Representation of Temporal Features for Content-Based Retrieval of Focal Liver Lesions Using Multi-phase Medical Images. ISM 2017: 507-510 - [c33]Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, Amir Hossein Foruzan
, Lanfen Lin, Yen-Wei Chen:
Robust hepatic vessel segmentation using multi deep convolution network. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2017: 1013711 - 2016
- [j3]Chunhua Dong
, Yen-Wei Chen, Lanfen Lin, Hongjie Hu, Chongwu Jin, Huajun Yu, Xian-Hua Han, Tomoko Tateyama:
Simultaneous Segmentation of Multiple Organs Using Random Walks. J. Inf. Process. 24(2): 320-329 (2016) - [c32]Jing Wang, Lanfen Lin, Heng Zhang, Jiaqi Tu:
Confidence-Learning Based Collaborative Filtering with Heterogeneous Implicit Feedbacks. APWeb (1) 2016: 444-455 - [c31]Yingying Xu, Lanfen Lin, Hongjie Hu, Dan Wang, Yitao Liu, Jian Wang, Xian-Hua Han, Yen-Wei Chen:
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. CISP-BMEI 2016: 806-810 - [c30]Penghua Yu, Lanfen Lin:
SeBPR: Semantics Enhanced Bayesian Personalized Ranking with Comparable Item Pairs. ICDM Workshops 2016: 1015-1022 - [c29]Feng Wang, Lanfen Lin:
Domain lexicon-based query expansion for patent retrieval. ICNC-FSKD 2016: 1543-1547 - [c28]Yingying Xu, Lanfen Lin, Hongjie Hu, Dan Wang, Yitao Liu, Jian Wang, Xian-Hua Han, Yen-Wei Chen:
Bag of temporal co-occurrence words for retrieval of focal liver lesions using 3D multiphase contrast-enhanced CT images. ICPR 2016: 2282-2287 - [c27]Penghua Yu, Lanfen Lin, Yuangang Yao:
A Novel Framework to Process the Quantity and Quality of User Behavior Data in Recommender Systems. WAIM (1) 2016: 231-243 - 2015
- [j2]Chunhua Dong
, Yen-Wei Chen, Amir Hossein Foruzan
, Lanfen Lin, Xian-Hua Han, Tomoko Tateyama, Xing Wu, Gang Xu, Huiyan Jiang:
Segmentation of liver and spleen based on computational anatomy models. Comput. Biol. Medicine 67: 146-160 (2015) - [c26]Feng Wang, Lanfen Lin:
Query construction based on concept importance for effective patent retrieval. FSKD 2015: 1455-1459 - [c25]Chunhua Dong
, Yen-Wei Chen, Tomoko Tateyama, Xian-Hua Han, Lanfen Lin, Hongjie Hu, Chongwu Jin, Huajun Yu:
A knowledge-based interactive liver segmentation using random walks. FSKD 2015: 1731-1736 - [c24]Penghua Yu, Lanfen Lin, Jing Wang:
User Preference Quantity versus Recommendation Performance: A Preliminary Study. SmartCity 2015: 844-849 - [c23]Penghua Yu, Lanfen Lin, Zeyang Li:
Human Factors Based Partitioning Versus Data Clustering for Recommendations. WI-IAT (1) 2015: 276-279 - 2014
- [j1]Feng Wang, Lanfen Lin, Min Tang:
A new sketch-based 3D model retrieval approach by using global and local features. Graph. Model. 76(3): 128-139 (2014) - [c22]Meng Wang, Lanfen Lin, Feng Wang:
New word identification in social network text based on time series information. CSCWD 2014: 552-557 - [c21]Penghua Yu, Lanfen Lin, Ruisong Wang, Jing Wang, Feng Wang:
A unified latent factor correction scheme for collaborative filtering. FSKD 2014: 581-586 - [c20]Penghua Yu, Lanfen Lin, Feng Wang, Jing Wang, Meng Wang:
Improving Recommendations with Collaborative Factors. WAIM 2014: 30-33 - 2013
- [c19]Jing Wang, Lanfen Lin, Feng Wang, Penghua Yu, Jiaolong Liu, Xiaowei Zhu:
Extracting Novel Features for E-Commerce Page Quality Classification. ADMA (1) 2013: 481-492 - [c18]Meng Wang, Lanfen Lin, Feng Wang:
Improving Short Text Classification through Better Feature Space Selection. CIS 2013: 120-124 - [c17]Feng Wang, Lanfen Lin, Shuai Yang, Xiaowei Zhu:
A semantic query expansion-based patent retrieval approach. FSKD 2013: 572-577 - [c16]Meng Wang, Lanfen Lin, Jing Wang, Penghua Yu, Jiaolong Liu, Fei Xie:
Improving Short Text Classification Using Public Search Engines. IUKM 2013: 157-166 - 2012
- [c15]Feng Wang, Meng Wang, Shuai Yang, Lanfen Lin:
Research on semantic-based knowledge service for cluster supply chain. CSCWD 2012: 505-511 - [c14]Zhan Jiang, Lanfen Lin, Guorong Wang, Shuai Yang:
Research on enterprise interoperability for cluster supply chain. CSCWD 2012: 519-526 - [c13]Zhan Jiang, Lanfen Lin, Fei Xie:
Research on Semantic Interoperability for Business Collaboration. IWEI 2012: 201-208 - [c12]Peng Du, Min Tang, Chang Meng, Ruofeng Tong, Lanfen Lin:
A fluid/cloth coupling method for high velocity collision simulation. VRCAI 2012: 309-314
2000 – 2009
- 2009
- [c11]Meng Wang, Yi Dong, Zhan Jiang, Lanfen Lin:
Research on Mass Process-Planning Data Storing and Parallel Accessing in Large-Scale Manufacturing Enterprise. DET 2009: 1101-1110 - [c10]Yuangang Yao, Lanfen Lin, Jinxiang Dong:
Research on Ontology-Based Multi-source Engineering Information Retrieval in Integrated Environment of Enterprise. IESA 2009: 277-282 - 2007
- [c9]Yi-Chao Lou, Lanfen Lin, Jinxiang Dong:
Research on Ontology-based Integrated Product modeling in Multidisciplinary Collaborative Environment. CSCWD 2007: 698-702 - 2005
- [c8]Lanfen Lin, Yi-Chao Lou, Wen-Yu Zhang, Peng Gao, Jinxiang Dong:
Integrated product modeling based on Web services in distributed environment. CSCWD (1) 2005: 307-312 - [c7]Wenyu Zhang, Lanfen Lin, Jiong Qiu, Ruofeng Tong, Jinxiang Dong:
An Ontology-Based Functional Modeling Approach for Multi-agent Distributed Design on the Semantic Web. CSCWD (Selected papers) 2005: 334-343 - [c6]Zhaomin Xu, Ming Cai, Lanfen Lin, Jinxiang Dong:
Screen-Sharing Technology for Cooperative CAPP System in a Networked Manufacturing Environment. CSCWD (Selected papers) 2005: 375-383 - [c5]Yu Chen, Ming Cai, Lanfen Lin, Jinxiang Dong:
Study of ASP service lifecycle management technologies for networked manufacturing system. CSCWD (2) 2005: 1077-1081 - [c4]Zhaomin Xu, Ming Cai, Lanfen Lin, Jinxiang Dong:
Study of networked manufacturing oriented cooperative CAPP system. CSCWD (2) 2005: 1106-1111 - [c3]Lanfen Lin, Shenghui Liao, Ruofeng Tong, Jinxiang Dong:
Water Droplet Morphing Combining Rigid Transformation. International Conference on Computational Science (1) 2005: 671-678 - 2004
- [c2]Zhenfeng He, Lanfen Lin, Xueying Ma:
Design, modeling and trajectory generation of a kind of four wheeled omni-directional vehicle. SMC (7) 2004: 6125-6130 - 2002
- [c1]Peng Gao, Lanfen Lin, Jinxiang Dong, Ming Cai:
Research on Technology of Product Data Exchange for Internet-Based Distributed Integrated Manufacturing System. CSCWD 2002: 426-431
Coauthor Index
aka: Xian-Hua Han
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