2025
Fairness-guided federated training for generalization and personalization in cross-silo federated learning.
Frontiers Inf. Technol. Electron. Eng., January, 2025
Active Sampling for Node Attribute Completion on Graphs.
CoRR, January, 2025
Towards evaluating and building versatile large language models for medicine.
npj Digit. Medicine, 2025
2024
On Transforming Reinforcement Learning With Transformers: The Development Trajectory.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024
Multi-modal Prototypes for Open-World Semantic Segmentation.
Int. J. Comput. Vis., December, 2024
UniChest: Conquer-and-Divide Pre-Training for Multi-Source Chest X-Ray Classification.
IEEE Trans. Medical Imaging, August, 2024
Online Multi-Agent Forecasting With Interpretable Collaborative Graph Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., April, 2024
Server-Client Collaborative Distillation for Federated Reinforcement Learning.
ACM Trans. Knowl. Discov. Data, January, 2024
Learning node representations against perturbations.
Pattern Recognit., January, 2024
Federated Adversarial Domain Hallucination for Privacy-Preserving Domain Generalization.
IEEE Trans. Multim., 2024
Balanced Destruction-Reconstruction Dynamics for Memory-Replay Class Incremental Learning.
IEEE Trans. Image Process., 2024
An objective quantitative diagnosis of depression using a local-to-global multimodal fusion graph neural network.
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Patterns, 2024
Dynamic-group-aware networks for multi-agent trajectory prediction with relational reasoning.
Neural Networks, 2024
Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge.
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Medical Image Anal., 2024
PMC-LLaMA: toward building open-source language models for medicine.
J. Am. Medical Informatics Assoc., 2024
Can Modern LLMs Act as Agent Cores in Radiology Environments?
CoRR, 2024
MRGen: Diffusion-based Controllable Data Engine for MRI Segmentation towards Unannotated Modalities.
CoRR, 2024
Towards Universal Soccer Video Understanding.
CoRR, 2024
Continual Task Learning through Adaptive Policy Self-Composition.
CoRR, 2024
AuscultaBase: A Foundational Step Towards AI-Powered Body Sound Diagnostics.
CoRR, 2024
Prompt Tuning with Diffusion for Few-Shot Pre-trained Policy Generalization.
CoRR, 2024
Task-Aware Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning.
CoRR, 2024
Communication Learning in Multi-Agent Systems from Graph Modeling Perspective.
CoRR, 2024
LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models.
CoRR, 2024
Self-supervised Anomaly Detection Pretraining Enhances Long-tail ECG Diagnosis.
CoRR, 2024
MegaFusion: Extend Diffusion Models towards Higher-resolution Image Generation without Further Tuning.
CoRR, 2024
HSDreport: Heart Sound Diagnosis with Echocardiography Reports.
CoRR, 2024
AutoRG-Brain: Grounded Report Generation for Brain MRI.
CoRR, 2024
Few-Shot Anomaly Detection via Category-Agnostic Registration Learning.
CoRR, 2024
Federated Learning under Partially Class-Disjoint Data via Manifold Reshaping.
CoRR, 2024
JointRF: End-to-End Joint Optimization for Dynamic Neural Radiance Field Representation and Compression.
CoRR, 2024
RadGenome-Chest CT: A Grounded Vision-Language Dataset for Chest CT Analysis.
CoRR, 2024
Knowledge-enhanced Visual-Language Pretraining for Computational Pathology.
CoRR, 2024
Anomaly Detection in Electrocardiograms: Advancing Clinical Diagnosis Through Self-Supervised Learning.
CoRR, 2024
GetMesh: A Controllable Model for High-quality Mesh Generation and Manipulation.
CoRR, 2024
Towards Building Multilingual Language Model for Medicine.
CoRR, 2024
Annotation-free Audio-Visual Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
TAIA: Large Language Models are Out-of-Distribution Data Learners.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Probabilistic Conformal Distillation for Enhancing Missing Modality Robustness.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
HPC: Hierarchical Progressive Coding Framework for Volumetric Video.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Reprogramming Distillation for Medical Foundation Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Q-value Regularized Transformer for Offline Reinforcement Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Diversified Batch Selection for Training Acceleration.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
MVTexGen: Synthesising 3D Textures Using Multi-View Diffusion.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
Long-tailed Diffusion Models with Oriented Calibration.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Learning Multi-Agent Communication from Graph Modeling Perspective.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
On Harmonizing Implicit Subpopulations.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Pre-Post Interaction Learning for Brain Tumor Segmentation with Missing MRI Modalities.
Proceedings of the IEEE International Conference on Acoustics, 2024
RaTEScore: A Metric for Radiology Report Generation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
CliMedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models in Clinical Scenarios.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
ReMamber: Referring Image Segmentation with Mamba Twister.
Proceedings of the Computer Vision - ECCV 2024, 2024
Multi-sentence Grounding for Long-Term Instructional Video.
Proceedings of the Computer Vision - ECCV 2024, 2024
Low-Rank Knowledge Decomposition for Medical Foundation Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Audio-Visual Segmentation via Unlabeled Frame Exploitation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
DictLLM: Harnessing Key-Value Data Structures with Large Language Models for Enhanced Medical Diagnostics.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
MedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023
Self-Supervised Tumor Segmentation With Sim2Real Adaptation.
IEEE J. Biomed. Health Informatics, September, 2023
Latent Class-Conditional Noise Model.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023
Fourier-based augmentation with applications to domain generalization.
Pattern Recognit., July, 2023
Toward Equivalent Transformation of User Preferences in Cross Domain Recommendation.
ACM Trans. Inf. Syst., January, 2023
Adaptive Mutual Supervision for Weakly-Supervised Temporal Action Localization.
IEEE Trans. Multim., 2023
Self-Supervised Masking for Unsupervised Anomaly Detection and Localization.
IEEE Trans. Multim., 2023
Contrastive Attraction and Contrastive Repulsion for Representation Learning.
Trans. Mach. Learn. Res., 2023
Federated Learning under Partially Disjoint Data via Manifold Reshaping.
Trans. Mach. Learn. Res., 2023
One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts.
CoRR, 2023
Large-scale Long-tailed Disease Diagnosis on Radiology Images.
CoRR, 2023
A Strong Baseline for Temporal Video-Text Alignment.
CoRR, 2023
Redundancy-Adaptive Multimodal Learning for Imperfect Data.
CoRR, 2023
Can GPT-4V(ision) Serve Medical Applications? Case Studies on GPT-4V for Multimodal Medical Diagnosis.
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CoRR, 2023
UniBrain: Universal Brain MRI Diagnosis with Hierarchical Knowledge-enhanced Pre-training.
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CoRR, 2023
Bag of Tricks for Long-Tailed Multi-Label Classification on Chest X-Rays.
CoRR, 2023
Multi-Scale Memory Comparison for Zero-/Few-Shot Anomaly Detection.
CoRR, 2023
Towards Generalist Foundation Model for Radiology.
CoRR, 2023
Audio-aware Query-enhanced Transformer for Audio-Visual Segmentation.
CoRR, 2023
Multi-Modal Prototypes for Open-Set Semantic Segmentation.
CoRR, 2023
PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering.
CoRR, 2023
Prompt-Tuning Decision Transformer with Preference Ranking.
CoRR, 2023
PMC-LLaMA: Further Finetuning LLaMA on Medical Papers.
CoRR, 2023
Multi-modal Prompting for Low-Shot Temporal Action Localization.
CoRR, 2023
DiffusionSeg: Adapting Diffusion Towards Unsupervised Object Discovery.
CoRR, 2023
Graph Decision Transformer.
CoRR, 2023
Knowledge-enhanced Pre-training for Auto-diagnosis of Chest Radiology Images.
CoRR, 2023
K-Diag: Knowledge-enhanced Disease Diagnosis in Radiographic Imaging.
CoRR, 2023
Constraint and Union for Partially-Supervised Temporal Sentence Grounding.
CoRR, 2023
Guiding Text-to-Image Diffusion Model Towards Grounded Generation.
CoRR, 2023
MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training.
CoRR, 2023
Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Asynchrony-Robust Collaborative Perception via Bird's Eye View Flow.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Open-Vocabulary Semantic Segmentation via Attribute Decomposition-Aggregation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Federated Learning with Bilateral Curation for Partially Class-Disjoint Data.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Combating Representation Learning Disparity with Geometric Harmonization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
GRACE: A Generalized and Personalized Federated Learning Method for Medical Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
PMC-CLIP: Contrastive Language-Image Pre-training Using Biomedical Documents.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Long-Tailed Partial Label Learning via Dynamic Rebalancing.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Joint-Relation Transformer for Multi-Person Motion Prediction.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training for X-ray Diagnosis.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Open-vocabulary Object Segmentation with Diffusion Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Federated Domain Generalization with Generalization Adjustment.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
SimDE: A Simple Domain Expansion Approach for Single-source Domain Generalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
DR2: Diffusion-Based Robust Degradation Remover for Blind Face Restoration.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Class-Balancing Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Controllable Mesh Generation Through Sparse Latent Point Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Distilling Vision-Language Pre-Training to Collaborate with Weakly-Supervised Temporal Action Localization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Enhanced Multimodal Representation Learning with Cross-modal KD.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Boost Video Frame Interpolation via Motion Adaptation.
Proceedings of the 34th British Machine Vision Conference 2023, 2023
Zero-shot Composed Text-Image Retrieval.
Proceedings of the 34th British Machine Vision Conference 2023, 2023
Temporally-Extended Prompts Optimization for SAM in Interactive Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Attribute Restoration Framework for Anomaly Detection.
IEEE Trans. Multim., 2022
A 3D Mesh-Based Lifting-and-Projection Network for Human Pose Transfer.
IEEE Trans. Multim., 2022
Actionness-Guided Transformer for Anchor-Free Temporal Action Localization.
IEEE Signal Process. Lett., 2022
Progressive privileged knowledge distillation for online action detection.
Pattern Recognit., 2022
Symbiotic Graph Neural Networks for 3D Skeleton-Based Human Action Recognition and Motion Prediction.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Learning on Attribute-Missing Graphs.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
TED: Two-stage expert-guided interpretable diagnosis framework for microvascular invasion in hepatocellular carcinoma.
Medical Image Anal., 2022
On Transforming Reinforcement Learning by Transformer: The Development Trajectory.
CoRR, 2022
Neural Message Passing for Visual Relationship Detection.
CoRR, 2022
Dynamic-Group-Aware Networks for Multi-Agent Trajectory Prediction with Relational Reasoning.
CoRR, 2022
K-Space Transformer for Fast MRI Reconstruction with Implicit Representation.
CoRR, 2022
Integrating features from lymph node stations for metastatic lymph node detection.
Comput. Medical Imaging Graph., 2022
Exploiting Transformation Invariance and Equivariance for Self-supervised Sound Localisation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Transforming the Interactive Segmentation for Medical Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Boundary-Enhanced Self-supervised Learning for Brain Structure Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Semi-Supervised Domain Generalization for Medical Image Analysis.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Unsupervised Ensemble Distillation for Multi-Organ Segmentation.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Deep Fourier Kernel Exploitation in Blind Image Super-Resolution.
Proceedings of the Digital Multimedia Communications - The 19th International Forum, 2022
Contrastive Learning with Boosted Memorization.
Proceedings of the International Conference on Machine Learning, 2022
FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation.
Proceedings of the IEEE International Conference on Data Mining, 2022
Spatio-Temporal Graph Complementary Scattering Networks.
Proceedings of the IEEE International Conference on Acoustics, 2022
Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction.
Proceedings of the Computer Vision - ECCV 2022, 2022
Prompting Visual-Language Models for Efficient Video Understanding.
Proceedings of the Computer Vision - ECCV 2022, 2022
Domain-Conditioned Normalization for Test-Time Domain Generalization.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
Registration Based Few-Shot Anomaly Detection.
Proceedings of the Computer Vision, 2022
GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Task Decoupled Framework for Reference-based Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
LAR-SR: A Local Autoregressive Model for Image Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Unpaired Face Restoration via Learnable Cross-Quality Shift.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
A Simple Plugin for Transforming Images to Arbitrary Scales.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022
K-Space Transformer for Undersampled MRI Reconstruction.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022
Open-vocabulary Semantic Segmentation with Frozen Vision-Language Models.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022
2021
Decoupled Variational Embedding for Signed Directed Networks.
ACM Trans. Web, 2021
Universal-to-Specific Framework for Complex Action Recognition.
IEEE Trans. Multim., 2021
Boundary-Aware Supervoxel-Level Iteratively Refined Interactive 3D Image Segmentation With Multi-Agent Reinforcement Learning.
IEEE Trans. Medical Imaging, 2021
Two-Stream Compare and Contrast Network for Vertebral Compression Fracture Diagnosis.
IEEE Trans. Medical Imaging, 2021
Multiscale Spatio-Temporal Graph Neural Networks for 3D Skeleton-Based Motion Prediction.
IEEE Trans. Image Process., 2021
Click-through Rate Prediction with Auto-Quantized Contrastive Learning.
CoRR, 2021
Self-supervised Tumor Segmentation through Layer Decomposition.
CoRR, 2021
MS-KD: Multi-Organ Segmentation with Multiple Binary-Labeled Datasets.
CoRR, 2021
Online Multi-Agent Forecasting with Interpretable Collaborative Graph Neural Network.
CoRR, 2021
Contrastive Conditional Transport for Representation Learning.
CoRR, 2021
Adaptive Mutual Supervision for Weakly-Supervised Temporal Action Localization.
CoRR, 2021
Collaborative Label Correction via Entropy Thresholding.
CoRR, 2021
Uncertainty-aware Incremental Learning for Multi-organ Segmentation.
CoRR, 2021
Handwritten Chinese Font Generation with Collaborative Stroke Refinement.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
Collaborative Uncertainty in Multi-Agent Trajectory Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
SAR: Scale-Aware Restoration Learning for 3D Tumor Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Fully Test-Time Adaptation for Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining.
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Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Cooperative Learning for Noisy Supervision.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
Deep Unsupervised Image Anomaly Detection: An Information Theoretic Framework.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Unsupervised Segmentation Framework with Active Contour Models for Cine Cardiac MRI.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Semi-Supervised 3D Hand-Object Pose Estimation Via Pose Dictionary Learning.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Skeleton Graph Scattering Networks for 3D Skeleton-based Human Motion Prediction.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
Divide and Conquer for Single-frame Temporal Action Localization.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
CaT: Weakly Supervised Object Detection with Category Transfer.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
A Fourier-Based Framework for Domain Generalization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
ESAD: End-to-end Semi-supervised Anomaly Detection.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
Cross Domain Embedding Transfer for Cold-start Users in Click-through Rate Prediction.
Proceedings of the ACAI 2021: 4th International Conference on Algorithms, Computing and Artificial Intelligence, Sanya, China, December 22, 2021
Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
A Unified Framework for Generalizable Style Transfer: Style and Content Separation.
IEEE Trans. Image Process., 2020
Online Prediction of Video Popularity in OVSs: A Video Age-Sensitive Model With Beyond Views Features.
IEEE Trans. Broadcast., 2020
Point-Level Temporal Action Localization: Bridging Fully-supervised Proposals to Weakly-supervised Losses.
CoRR, 2020
ESAD: End-to-end Deep Semi-supervised Anomaly Detection.
CoRR, 2020
Deep Unsupervised Image Anomaly Detection: An Information Theoretic Framework.
CoRR, 2020
Privileged Knowledge Distillation for Online Action Detection.
CoRR, 2020
Sampling and Recovery of Graph Signals based on Graph Neural Networks.
CoRR, 2020
Universal Model for 3D Medical Image Analysis.
CoRR, 2020
Towards Equivalent Transformation of User Preferences in Cross Domain Recommendation.
CoRR, 2020
Learning Robust Node Representations on Graphs.
CoRR, 2020
Collaborative Adversarial Learning for RelationalLearning on Multiple Bipartite Graphs.
CoRR, 2020
Dual Graph Embedding for Object-Tag LinkPrediction on the Knowledge Graph.
CoRR, 2020
Constraining Temporal Relationship for Action Localization.
CoRR, 2020
Learning Robust Shape-Based Features for Domain Generalization.
IEEE Access, 2020
Graph Cross Networks with Vertex Infomax Pooling.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Semi-supervised Segmentation with Self-training Based on Quality Estimation and Refinement.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Dual-Task Self-supervision for Cross-modality Domain Adaptation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Error Attention Interactive Segmentation of Medical Image Through Matting and Fusion.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Knowledge Distillation from Multi-modal to Mono-modal Segmentation Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
PU Learning for RPN Generalization.
Proceedings of the ICVIP 2020: The 4th International Conference on Video and Image Processing, 2020
Graph Contrastive Learning with Local and Global Mutual Information Maximization.
Proceedings of the ICIT 2020, 2020
Collaborative Adversarial Learning for Relational Learning on Multiple Bipartite Graphs.
Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020
Dual Graph Embedding for Object-Tag Link Prediction on the Knowledge Graph.
Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020
Bottom-Up Temporal Action Localization with Mutual Regularization.
Proceedings of the Computer Vision - ECCV 2020, 2020
FTL: A Universal Framework for Training Low-Bit DNNs via Feature Transfer.
Proceedings of the Computer Vision - ECCV 2020, 2020
Iteratively-Refined Interactive 3D Medical Image Segmentation With Multi-Agent Reinforcement Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Dynamic Multiscale Graph Neural Networks for 3D Skeleton Based Human Motion Prediction.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Collaborative Motion Prediction via Neural Motion Message Passing.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
From Quantized DNNs to Quantizable DNNs.
Proceedings of the 31st British Machine Vision Conference 2020, 2020
Cross-Modality Video Segment Retrieval with Ensemble Learning.
Proceedings of the Domain Adaptation for Visual Understanding, 2020
2019
Predicting the Top-N Popular Videos via a Cross-Domain Hybrid Model.
IEEE Trans. Multim., 2019
Deep Learning From Noisy Image Labels With Quality Embedding.
IEEE Trans. Image Process., 2019
Detection of medical text semantic similarity based on convolutional neural network.
BMC Medical Informatics Decis. Mak., 2019
Inverse-Transform AutoEncoder for Anomaly Detection.
CoRR, 2019
Cascading: Association Augmented Sequential Recommendation.
CoRR, 2019
Data Augmentation Revisited: Rethinking the Distribution Gap between Clean and Augmented Data.
CoRR, 2019
Node Attribute Generation on Graphs.
CoRR, 2019
Defending Adversarial Attacks by Correcting logits.
CoRR, 2019
Handwritten Chinese Font Generation with Collaborative Stroke Refinement.
CoRR, 2019
Weakly Supervised Segmentation of Vertebral Bodies with Iterative Slice-Propagation.
Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019
Learning-Based Bone Quality Classification Method for Spinal Metastasis.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Children's Neuroblastoma Segmentation Using Morphological Features.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Spatial Regularized Classification Network for Spinal Dislocation Diagnosis.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Generative Transferable Adversarial Attack.
Proceedings of the ICVIP 2019: The 3rd International Conference on Video and Image Processing, 2019
Collaborative Semantic Segmentation with Image Labels.
Proceedings of the ICVIP 2019: The 3rd International Conference on Video and Image Processing, 2019
Self-supervised Image Classification based on the Distances of Deep Feature Space.
Proceedings of the ICVIP 2019: The 3rd International Conference on Video and Image Processing, 2019
An Element Sensitive Saliency Model with Position Prior Learning for Web Pages.
Proceedings of the ICIAI 2019: The 3rd International Conference on Innovation in Artificial Intelligence, 2019
Collaborative Label Correction via Entropy Thresholding.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Accelerate CNN via Recursive Bayesian Pruning.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Online Popularity Prediction of Video Segments: Towards More Efficient Content Delivery Networks.
Proceedings of the 2019 IEEE Global Communications Conference, 2019
Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Understanding VAEs in Fisher-Shannon Plane.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Safeguarded Dynamic Label Regression for Noisy Supervision.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Joint Latent Dirichlet Allocation for Social Tags.
IEEE Trans. Multim., 2018
Query-Free Clothing Retrieval via Implicit Relevance Feedback.
IEEE Trans. Multim., 2018
Stopping Criterion for Active Learning with Model Stability.
ACM Trans. Intell. Syst. Technol., 2018
Webly-Supervised Fine-Grained Visual Categorization via Deep Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell., 2018
Network Compression via Recursive Bayesian Pruning.
CoRR, 2018
Domain-Invariant Adversarial Learning for Unsupervised Domain Adaption.
CoRR, 2018
Phase Collaborative Network for Multi-Phase Medical Imaging Segmentation.
CoRR, 2018
Variational Collaborative Learning for User Probabilistic Representation.
CoRR, 2018
Understanding VAEs in Fisher-Shannon Plane.
CoRR, 2018
An Element Sensitive Saliency Model with Position Prior Learning for Web Pages.
CoRR, 2018
Variational Composite Autoencoders.
CoRR, 2018
Degeneration in VAE: in the Light of Fisher Information Loss.
CoRR, 2018
Deep Dual-view Network with Smooth Loss for Spinal Metastases Classification.
Proceedings of the IEEE Visual Communications and Image Processing, 2018
Masking: A New Perspective of Noisy Supervision.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Collaborative Learning for Weakly Supervised Object Detection.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
MLN: Moment localization Network and Samples Selection for Moment Retrieval.
Proceedings of the 2nd International Conference on Video and Image Processing, 2018
Unsupervised Local Facial Attributes Transfer Using Dual Discriminative Adversarial Networks.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018
Recommendation with Hybrid Interest Model.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018
Multi-scale Spatially-Asymmetric Recalibration for Image Classification.
Proceedings of the Computer Vision - ECCV 2018, 2018
Separating Style and Content for Generalized Style Transfer.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Research on Hospital Operation Index Prediction Method Based on PSO-Holt-Winters Model.
Proceedings of the 2nd International Conference on Computer Science and Application Engineering, 2018
Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
Chinese Handwriting Imitation with Hierarchical Generative Adversarial Network.
Proceedings of the British Machine Vision Conference 2018, 2018
A Generic Distributed Scheduling Algorithm for Frame Rate Up Convert Video Transcoding.
Proceedings of the 2018 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2018
2017
Active Learning for Classification with Maximum Model Change.
ACM Trans. Inf. Syst., 2017
Batch Mode Active Learning for Regression With Expected Model Change.
IEEE Trans. Neural Networks Learn. Syst., 2017
Friend or Foe: Fine-Grained Categorization With Weak Supervision.
IEEE Trans. Image Process., 2017
A machine learning-based framework to identify type 2 diabetes through electronic health records.
Int. J. Medical Informatics, 2017
Deep Collaborative Learning for Visual Recognition.
CoRR, 2017
SORT: Second-Order Response Transform for Visual Recognition.
CoRR, 2017
Deep hashing with triplet quantization loss.
Proceedings of the 2017 IEEE Visual Communications and Image Processing, 2017
Clothing retrieval with visual attention model.
Proceedings of the 2017 IEEE Visual Communications and Image Processing, 2017
From Theory to Practice: Efficient Active Cost-sensitive Classification with Expected Error Reduction.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017
Describing Geographical Characteristics with Social Images.
Proceedings of the MultiMedia Modeling - 23rd International Conference, 2017
Discovering User Interests from Social Images.
Proceedings of the MultiMedia Modeling - 23rd International Conference, 2017
Unsupervised Triplet Hashing for Fast Image Retrieval.
Proceedings of the on Thematic Workshops of ACM Multimedia 2017, Mountain View, CA, USA, October 23, 2017
A Big Data Application of Machine Learning-Based Framework to Identify Type 2 Diabetes Through Electronic Health Records.
Proceedings of the Knowledge Management in Organizations - 12th International Conference, 2017
Distance metric learning with eigenvalue fine tuning.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Cold-Start Group Profiling with a Clustering-Coupled Topic Model.
Proceedings of the Digital TV and Wireless Multimedia Communication, 2017
Predicting Relative Popularity via an End-to-End Multi-modality Model.
Proceedings of the Digital TV and Wireless Multimedia Communication, 2017
SORT: Second-Order Response Transform for Visual Recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2017
A Distributed Trajectory Compression Algorithm for Mobile Sensor Networks.
Proceedings of the 5th International Conference on Communications and Broadband Networking, Bali, Indonesia, February 20, 2017
On evaluation the quality of subjective S3D comfort assessment.
Proceedings of the 2017 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2017
An improved pairwise comparison scaling method for subjective image quality assessment.
Proceedings of the 2017 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2017
2016
Multinomial Latent Logistic Regression for Image Understanding.
IEEE Trans. Image Process., 2016
A Novel Time Series Approach for Predicting the Long-Term Popularity of Online Videos.
IEEE Trans. Broadcast., 2016
A parameter partial-sharing CNN architecture for cross-domain clothing retrieval.
Proceedings of the 2016 Visual Communications and Image Processing, 2016
Preference Aware Recommendation Based on Categorical Information.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016
Part-Stacked CNN for Fine-Grained Visual Categorization.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
Comparison of regressors on 3D visual discomfort prediction.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2016
Synergy and antagonism in online advertising.
Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, 2016
2015
Active Learning for Web Search Ranking via Noise Injection.
ACM Trans. Web, 2015
Active Learning for Ranking through Expected Loss Optimization.
IEEE Trans. Knowl. Data Eng., 2015
A Time-Topic Coupled LDA Model for IPTV User Behaviors.
IEEE Trans. Broadcast., 2015
Deep feature for text-dependent speaker verification.
Speech Commun., 2015
Active learning for ranking with sample density.
Inf. Retr. J., 2015
Online Learning Algorithm for Collective LDA.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
Joint Latent Dirichlet Allocation for non-iid social tags.
Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015
Augmenting Strong Supervision Using Web Data for Fine-Grained Categorization.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015
IOHMM for location prediction with missing data.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015
A depth map estimation approach for trinocular stereo.
Proceedings of the 2015 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2015
Visual comfort assessment of stereoscopic images with multiple salient objects.
Proceedings of the 2015 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2015
A new approach to create 3D fixation density maps for stereoscopic images.
Proceedings of the 2015 3DTV-Conference: The True Vision, 2015
2014
Social Image Analysis From a Non-IID Perspective.
IEEE Trans. Multim., 2014
Coupled K-Nearest Centroid Classification for Non-iid Data.
Trans. Comput. Collect. Intell., 2014
An Urban-Rural Dual Structure for the Digital Terrestrial Television Broadcasting System of FOBTV.
IEEE Trans. Broadcast., 2014
Behavior Informatics: A New Perspective.
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IEEE Intell. Syst., 2014
Exploring Residual and Spatial Consistency for Object Detection.
Proceedings of the VISAPP 2014, 2014
Active Learning for Support Vector Machines with Maximum Model Change.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
Multi-touch Attribution in Online Advertising with Survival Theory.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
Stability-Based Stopping Criterion for Active Learning.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
Architectural Style Classification Using Multinomial Latent Logistic Regression.
Proceedings of the Computer Vision - ECCV 2014, 2014
Lifetime popularity prediction for online videos.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2014
Feature Selection at the Discrete Limit.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
2013
ACM Trans. Intell. Syst. Technol., 2013
Collaborative filtering with social regularization for TV program recommendation.
Knowl. Based Syst., 2013
Face recogntion in open world environment.
Proceedings of the 2013 Visual Communications and Image Processing, 2013
Maximizing Expected Model Change for Active Learning in Regression.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
Joint Optimization for Consistent Multiple Graph Matching.
Proceedings of the IEEE International Conference on Computer Vision, 2013
Real-time TV logo detection based on color and HOG features.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2013
Automatic generated recommendation for movie trailers.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2013
Mining IPTV user behaviors with a coupled LDA model.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2013
Learning the Hotness of Information Diffusions with Multi-dimensional Hawkes Processes.
Proceedings of the Agents and Data Mining Interaction - 9th International Workshop, 2013
Learning Heterogeneous Coupling Relationships Between Non-IID Terms.
Proceedings of the Agents and Data Mining Interaction - 9th International Workshop, 2013
Social-Correlation Based Mutual Reinforcement for Short Text Classification and User Interest Tagging.
Proceedings of the Advanced Data Mining and Applications, 9th International Conference, 2013
2012
Measuring Pair-Wise Social Influence in Microblog.
Proceedings of the 2012 International Conference on Privacy, 2012
On the Convergence of Graph Matching: Graduated Assignment Revisited.
Proceedings of the Computer Vision - ECCV 2012, 2012
Variance maximization via noise injection for active sampling in learning to rank.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
Discovering patterns of advertisement propagation in Sina-Microblog.
Proceedings of the Sixth International Workshop on Data Mining for Online Advertising and Internet Economy, 2012
2011
Boosted multi-task learning.
Mach. Learn., 2011
2010
Cross-platform microarray data integration using the Normalised Linear Transform.
Int. J. Data Min. Bioinform., 2010
Learning more powerful test statistics for click-based retrieval evaluation.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010
Active learning for ranking through expected loss optimization.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010
Multi-task learning for boosting with application to web search ranking.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010
2009
A dynamic bayesian network click model for web search ranking.
Proceedings of the 18th International Conference on World Wide Web, 2009
A risk minimization framework for domain adaptation.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009
Expected reciprocal rank for graded relevance.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009
2008
Identifying regional sensitive queries in web search.
Proceedings of the 17th International Conference on World Wide Web, 2008
A Two-Stage Approach to Chinese Part-of-Speech Tagging.
Proceedings of the Third International Joint Conference on Natural Language Processing, 2008
Adapting ranking functions to user preference.
Proceedings of the 24th International Conference on Data Engineering Workshops, 2008
2007
Data-Dependent Kernel Machines for Microarray Data Classification.
IEEE ACM Trans. Comput. Biol. Bioinform., 2007
Normalized Linear Transform for Cross-Platform Microarray Data Integration.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007
2006
Machine annotation and retrieval for digital imagery of historical materials.
Int. J. Digit. Libr., 2006
Splice site prediction using support vector machines with a Bayes kernel.
Expert Syst. Appl., 2006
Towards Inferring Protein Interactions: Challenges and Solutions.
EURASIP J. Adv. Signal Process., 2006
Motif Discovery as a Multiple-Instance Problem.
Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), 2006
Biclustering Protein Complex Interactions with a Biclique Finding Algorithm.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
2005
Comparative mapping of sequence-based and structure-based protein domains.
BMC Bioinform., 2005
Identification of Functional Modules in Protein Complexes via Hyperclique Pattern Discovery.
Proceedings of the Biocomputing 2005, 2005
Size Regularized Cut for Data Clustering.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005
A Time-Series Biclustering Algorithm for Revealing Co-Regulated Genes.
Proceedings of the International Symposium on Information Technology: Coding and Computing (ITCC 2005), 2005
Towards discovering organizational structure from email corpus.
Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005
Protein Interaction Inference as a MAX-SAT Problem.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2005
2004
Correlating summarization of multi-source news with k-way graph bi-clustering.
SIGKDD Explor., 2004
2002
Progressive display of very high resolution images using wavelets.
Proceedings of the AMIA 2002, 2002