2025
Traversal Verification for Speculative Tree Decoding.
CoRR, May, 2025
CORAL: Learning Consistent Representations across Multi-step Training with Lighter Speculative Drafter.
CoRR, February, 2025
DoGA: Enhancing Grounded Object Detection via Grouped Pre-Training with Attributes.
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Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
A Survey of Visual Transformers.
IEEE Trans. Neural Networks Learn. Syst., June, 2024
Trust it or not: Confidence-guided automatic radiology report generation.
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Neurocomputing, 2024
ARB-LLM: Alternating Refined Binarizations for Large Language Models.
CoRR, 2024
2023
A New Transformation Approach for Uplift Modeling with Binary Outcome.
CoRR, 2023
An Effective Two-stage Training Paradigm Detector for Small Dataset.
CoRR, 2023
Causal Inference Based Single-branch Ensemble Trees For Uplift Modeling.
CoRR, 2023
Feature-Suppressed Contrast for Self-Supervised Food Pre-training.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
A Unified Multi-modal Structure for Retrieving Tracked Vehicles through Natural Language Descriptions.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Learn More for Food Recognition via Progressive Self-Distillation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Decoupled Pyramid Correlation Network for Liver Tumor Segmentation from CT images.
CoRR, 2022
Semi-supervised Medical Image Segmentation with Semantic Distance Distribution Consistency Learning.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022
Semi-Supervised 3D Medical Image Segmentation Via Boundary-Aware Consistent Hidden Representation Learning.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Cross-Domain Few-Shot Learning for Rare-Disease Skin Lesion Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge.
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Medical Image Anal., 2021
Confidence-Guided Radiology Report Generation.
CoRR, 2021
Does non-COVID-19 lung lesion help? investigating transferability in COVID-19 CT image segmentation.
Comput. Methods Programs Biomed., 2021
Modality-Aware Mutual Learning for Multi-modal Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
AKFNET: An Anatomical Knowledge Embedded Few-Shot Network For Medical Image Segmentation.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Research on Intelligent Identification Method of Power Grid Missing Data Based on Improved Generation Countermeasure Network with Multi-dimensional Feature Analysis.
Proceedings of the Big Data and Security - Third International Conference, 2021
2020
A Vertical Federated Learning Method for Interpretable Scorecard and Its Application in Credit Scoring.
CoRR, 2020
A Federated F-score Based Ensemble Model for Automatic Rule Extraction.
CoRR, 2020
Does Non-COVID19 Lung Lesion Help? Investigating Transferability in COVID-19 CT Image Segmentation.
CoRR, 2020
Two-Stage Coordinated Control Strategy of AC/DC Hybrid Power System Based on Steady-State Security Region.
IEEE Access, 2020
Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer.
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020
Double-Uncertainty Weighted Method for Semi-supervised Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Robust hepatic vessels segmentation model based on noisy dataset.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
FGB: Feature Guidance Branch for Organ Detection in Medical Images.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
DARN: Deep Attentive Refinement Network for Liver Tumor Segmentation from 3D CT volume.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Modality-Pairing Learning for Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020
2019
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge.
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CoRR, 2019
Cascaded Volumetric Convolutional Network for Kidney Tumor Segmentation from CT volumes.
CoRR, 2019
Towards Automatic Diagnosis from Multi-modal Medical Data.
Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support, 2019
Automatic Couinaud Segmentation from CT Volumes on Liver Using GLC-UNet.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
2018
A Diagnostic Report Generator from CT Volumes on Liver Tumor with Semi-supervised Attention Mechanism.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
A hybrid semi-supervised approach for financial fraud detection.
Proceedings of the 2017 International Conference on Machine Learning and Cybernetics, 2017
2016
Pattern-based 3D model compression.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
2014
Generic 2D/3D smoothing via regional variation.
Proceedings of the IEEE International Conference on Acoustics, 2014
2012
Adaptive coding of generic 3D triangular meshes based on octree decomposition.
Vis. Comput., 2012
Tangent-plane-continuity maximization based 3D point compression.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012
Efficient Progressive Compression of 3D Points by Maximizing Tangent-Plane Continuity.
Proceedings of the 2012 Data Compression Conference, Snowbird, UT, USA, April 10-12, 2012, 2012
2011
Imbalanced classification using support vector machine ensemble.
Neural Comput. Appl., 2011
Robust prediction of protein subcellular localization combining PCA and WSVMs.
Comput. Biol. Medicine, 2011
Probability model-adaptive coding of point clouds with octree decomposition.
Proceedings of the SIGGRAPH Asia 2011 Posters, Hong Kong, December 12-15, 2011, 2011
On two-finger grasping of deformable planar objects.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011
2010
Modeling Deformations of General Parametric Shells Grasped by a Robot Hand.
IEEE Trans. Robotics, 2010
Surface Patch Reconstruction From "One-Dimensional" Tactile Data.
IEEE Trans Autom. Sci. Eng., 2010
2009
Health Delivery Systems - A Case for Multi-Agent Systems.
Proceedings of the IEEE International Conference on Systems, 2009
Modeling deformable shell-like objects grasped by a robot hand.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009
A method for improving protein localization prediction from datasets with outliers.
Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2009
2008
Deformations of general parametric shells: Computation and robot experiment.
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008
2007
A Research on the Authorization Model Based on Organizational Management in E-Gov.
Proceedings of the Research and Practical Issues of Enterprise Information Systems II, 2007
Multi-agent Based Dynamic Supply Chain Formation in Semi-monopolized Circumstance.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 2007
A Study Upon the Architectures of Multi-Agent Systems for Petroleum Supply Chain.
Proceedings of the Cooperative Design, 2007
2006
An extended contract net mechanism for dynamic supply chain formation and its application in China petroleum supply chain management.
Multiagent Grid Syst., 2006
Surface Patch Reconstruction via Curve Sampling.
Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006
Multi-agent Modeling and Simulation for Petroleum Supply Chain.
Proceedings of the Computational Intelligence, 2006
2005
VSARD: a low-cost augmented reality system for desktop applications.
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2005
2004
A New Agent-Oriented Development Methodology.
Proceedings of the 2004 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2004), 2004
2003
A Multi-agent Approach to the Design of an E-medicine System.
Proceedings of the Multiagent System Technologies, First German Conference, 2003
Object-Oriented Design of E-Government System: A Case Study.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003