Yanfeng Wang

Orcid: 0000-0002-3196-2347

Affiliations:
  • Shanghai Jiao Tong University, China


According to our database1, Yanfeng Wang authored at least 236 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Multi-modal Prototypes for Open-World Semantic Segmentation.
Int. J. Comput. Vis., December, 2024

FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units.
IEEE Trans. Intell. Transp. Syst., November, 2024

UniChest: Conquer-and-Divide Pre-Training for Multi-Source Chest X-Ray Classification.
IEEE Trans. Medical Imaging, August, 2024

Noncontact Infant Apnea Detection for Hypoxia Prevention With a K-Band Biomedical Radar.
IEEE Trans. Biomed. Eng., March, 2024

Federated Adversarial Domain Hallucination for Privacy-Preserving Domain Generalization.
IEEE Trans. Multim., 2024

Video Demoiréing With Deep Temporal Color Embedding and Video-Image Invertible Consistency.
IEEE Trans. Multim., 2024

Balanced Destruction-Reconstruction Dynamics for Memory-Replay Class Incremental Learning.
IEEE Trans. Image Process., 2024

Leveraging Diverse Modeling Contexts With Collaborating Learning for Neural Machine Translation.
IEEE ACM Trans. Audio Speech Lang. Process., 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.
Medical Image Anal., 2024

PMC-LLaMA: toward building open-source language models for medicine.
J. Am. Medical Informatics Assoc., 2024

Task-Aware Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning.
CoRR, 2024

ReflecTool: Towards Reflection-Aware Tool-Augmented Clinical Agents.
CoRR, 2024

Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation.
CoRR, 2024

Data Quality Control in Federated Instruction-tuning of Large Language Models.
CoRR, 2024

LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models.
CoRR, 2024

Towards Underwater Camouflaged Object Tracking: An Experimental Evaluation of SAM and SAM 2.
CoRR, 2024

Leveraging Unstructured Text Data for Federated Instruction Tuning of Large Language Models.
CoRR, 2024

Self-supervised Anomaly Detection Pretraining Enhances Long-tail ECG Diagnosis.
CoRR, 2024

Towards Evaluating and Building Versatile Large Language Models for Medicine.
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

MedCare: Advancing Medical LLMs through Decoupling Clinical Alignment and Knowledge Aggregation.
CoRR, 2024

Self-Localized Collaborative Perception.
CoRR, 2024

Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models.
CoRR, 2024

Few-Shot Anomaly Detection via Category-Agnostic Registration Learning.
CoRR, 2024

FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models.
CoRR, 2024

TAIA: Large Language Models are Out-of-Distribution Data Learners.
CoRR, 2024

WebUOT-1M: Advancing Deep Underwater Object Tracking with A Million-Scale Benchmark.
CoRR, 2024

Federated Learning under Partially Class-Disjoint Data via Manifold Reshaping.
CoRR, 2024

Language-Driven Interactive Traffic Trajectory Generation.
CoRR, 2024

Fair Evaluation of Federated Learning Algorithms for Automated Breast Density Classification: The Results of the 2022 ACR-NCI-NVIDIA Federated Learning Challenge.
CoRR, 2024

JointRF: End-to-End Joint Optimization for Dynamic Neural Radiance Field Representation and Compression.
CoRR, 2024

Awesome Multi-modal Object Tracking.
CoRR, 2024

Robust Collaborative Perception without External Localization and Clock Devices.
CoRR, 2024

RadGenome-Chest CT: A Grounded Vision-Language Dataset for Chest CT Analysis.
CoRR, 2024

Physical Backdoor Attack can Jeopardize Driving with Vision-Large-Language Models.
CoRR, 2024

Ethical-Lens: Curbing Malicious Usages of Open-Source Text-to-Image Models.
CoRR, 2024

Knowledge-enhanced Visual-Language Pretraining for Computational Pathology.
CoRR, 2024

MING-MOE: Enhancing Medical Multi-Task Learning in Large Language Models with Sparse Mixture of Low-Rank Adapter Experts.
CoRR, 2024

Anomaly Detection in Electrocardiograms: Advancing Clinical Diagnosis Through Self-Supervised Learning.
CoRR, 2024

M<sup>3</sup>AV: A Multimodal, Multigenre, and Multipurpose Audio-Visual Academic Lecture Dataset.
CoRR, 2024

Automatic Interactive Evaluation for Large Language Models with State Aware Patient Simulator.
CoRR, 2024

Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning.
CoRR, 2024

Enhancing Data Quality in Federated Fine-Tuning of Foundation Models.
CoRR, 2024

Post-decoder Biasing for End-to-End Speech Recognition of Multi-turn Medical Interview.
CoRR, 2024

Towards Building Multilingual Language Model for Medicine.
CoRR, 2024

M2K-VDG: Model-Adaptive Multimodal Knowledge Anchor Enhanced Video-grounded Dialogue Generation.
CoRR, 2024

MM-SAP: A Comprehensive Benchmark for Assessing Self-Awareness of Multimodal Large Language Models in Perception.
CoRR, 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

OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Robust Collaborative Perception without External Localization and Clock Devices.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation.
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

Fake It Till Make It: Federated Learning with Consensus-Oriented Generation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

An Extensible Framework for Open Heterogeneous Collaborative Perception.
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

Hypergraph Transformer for Semi-Supervised Classification.
Proceedings of the IEEE International Conference on Acoustics, 2024

MSG-BART: Multi-Granularity Scene Graph-Enhanced Encoder-Decoder Language Model for Video-Grounded Dialogue Generation.
Proceedings of the IEEE International Conference on Acoustics, 2024

RA2FD: Distilling Faithfulness into Efficient Dialogue Systems.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

RaTEScore: A Metric for Radiology Report Generation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

MatchTime: Towards Automatic Soccer Game Commentary 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

MedCare: Advancing Medical LLMs through Decoupling Clinical Alignment and Knowledge Aggregation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 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

Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Intelligent Grimm - Open-ended Visual Storytelling via Latent Diffusion Models.
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

CE-VDG: Counterfactual Entropy-based Bias Reduction for Video-grounded Dialogue Generation.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

SDA: Semantic Discrepancy Alignment for Text-conditioned Image Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics, 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

Fourier-based augmentation with applications to domain generalization.
Pattern Recognit., July, 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

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

Federated Learning Empowered by Generative Content.
CoRR, 2023

Redundancy-Adaptive Multimodal Learning for Imperfect Data.
CoRR, 2023

Malicious Agent Detection for Robust Multi-Agent Collaborative Perception.
CoRR, 2023

Can GPT-4V(ision) Serve Medical Applications? Case Studies on GPT-4V for Multimodal Medical Diagnosis.
CoRR, 2023

Improving the Reliability of Large Language Models by Leveraging Uncertainty-Aware In-Context Learning.
CoRR, 2023

UniBrain: Universal Brain MRI Diagnosis with Hierarchical Knowledge-enhanced Pre-training.
CoRR, 2023

An Automatic Evaluation Framework for Multi-turn Medical Consultations Capabilities of Large Language Models.
CoRR, 2023

LibriSQA: Advancing Free-form and Open-ended Spoken Question Answering with a Novel Dataset and Framework.
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

Exploring Effective Mask Sampling Modeling for Neural Image Compression.
CoRR, 2023

PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering.
CoRR, 2023

PMC-LLaMA: Further Finetuning LLaMA on Medical Papers.
CoRR, 2023

Multi-modal Prompting for Low-Shot Temporal Action Localization.
CoRR, 2023

TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Driving.
CoRR, 2023

DiffusionSeg: Adapting Diffusion Towards Unsupervised Object Discovery.
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

Knowledge-aware Bayesian Co-attention for Multimodal Emotion Recognition.
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

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

All in One: Exploring Unified Vision-Language Tracking with Multi-Modal Alignment.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Uncertainty-Guided End-to-End Audio-Visual Speaker Diarization for Far-Field Recordings.
Proceedings of the 31st ACM International Conference on Multimedia, 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

Robust Collaborative 3D Object Detection in Presence of Pose Errors.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

FedDisco: Federated Learning with Discrepancy-Aware Collaboration.
Proceedings of the International Conference on Machine Learning, 2023

Personalized Federated Learning with Inferred Collaboration Graphs.
Proceedings of the International Conference on Machine Learning, 2023

Long-Tailed Partial Label Learning via Dynamic Rebalancing.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Self-Improvement of Non-autoregressive Model via Sequence-Level Distillation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 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

EqMotion: Equivariant Multi-Agent Motion Prediction with Invariant Interaction Reasoning.
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

Leapfrog Diffusion Model for Stochastic Trajectory Prediction.
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

Collaboration Helps Camera Overtake LiDAR in 3D Detection.
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

Low-Light Video Enhancement with Synthetic Event Guidance.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Symbiotic Graph Neural Networks for 3D Skeleton-Based Human Action Recognition and Motion Prediction.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Unrolled Graph Learning for Multi-Agent Collaboration.
CoRR, 2022

Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation.
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

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

Multi-level Fusion of Wav2vec 2.0 and BERT for Multimodal Emotion Recognition.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 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

Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 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

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

Boundary-Aware Supervoxel-Level Iteratively Refined Interactive 3D Image Segmentation With Multi-Agent Reinforcement Learning.
IEEE Trans. Medical Imaging, 2021

Multiscale Spatio-Temporal Graph Neural Networks for 3D Skeleton-Based Motion Prediction.
IEEE Trans. Image Process., 2021

Self-supervised Tumor Segmentation through Layer Decomposition.
CoRR, 2021

MS-KD: Multi-Organ Segmentation with Multiple Binary-Labeled Datasets.
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

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

Cooperative Learning for Noisy Supervision.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Unsupervised Segmentation Framework with Active Contour Models for Cine Cardiac MRI.
Proceedings of the 2021 IEEE International Conference on Image Processing, 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

Non-Equiprobable Non-Uniform APSK Constellations Design for BICM Systems.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2021

Deep reinforcement learning based multicast mode selection for SFN.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2021

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

Privileged Knowledge Distillation for Online Action Detection.
CoRR, 2020

Universal Model for 3D Medical Image Analysis.
CoRR, 2020

Dual Graph Embedding for Object-Tag LinkPrediction on the Knowledge Graph.
CoRR, 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

PU Learning for RPN Generalization.
Proceedings of the ICVIP 2020: The 4th International Conference on Video and Image Processing, 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

2019
Cascading: Association Augmented Sequential Recommendation.
CoRR, 2019

Data Augmentation Revisited: Rethinking the Distribution Gap between Clean and Augmented Data.
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

Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Joint Latent Dirichlet Allocation for Social Tags.
IEEE Trans. Multim., 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

An Element Sensitive Saliency Model with Position Prior Learning for Web Pages.
CoRR, 2018

Recommendation with Hybrid Interest Model.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network.
Proceedings of the Computer Vision - ECCV 2018, 2018

Chinese Handwriting Imitation with Hierarchical Generative Adversarial Network.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Media Transmission by Cooperation of Cellular Network and Broadcasting Network.
IEEE Trans. Broadcast., 2017

Improved Bootstrap Design for Frequency-Domain Signaling Transmission.
IEEE Trans. Broadcast., 2017

Deep hashing with triplet quantization loss.
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

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

Gradient descent cyclic algorithm - An algorithm to design the filter set in TDCFS method.
Proceedings of the 2017 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2017

2016
A Novel Time Series Approach for Predicting the Long-Term Popularity of Online Videos.
IEEE Trans. Broadcast., 2016

2015
Online Learning Algorithm for Collective LDA.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

IOHMM for location prediction with missing data.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2014
An Urban-Rural Dual Structure for the Digital Terrestrial Television Broadcasting System of FOBTV.
IEEE Trans. Broadcast., 2014

2013
Consideration and application of smart broadcasting.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2013


  Loading...