Jingyang Zhang

Orcid: 0000-0002-9771-5111

According to our database1, Jingyang Zhang authored at least 89 papers between 2011 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
SADA: Stability-guided Adaptive Diffusion Acceleration.
CoRR, July, 2025

F^2TTA: Free-Form Test-Time Adaptation on Cross-Domain Medical Image Classification via Image-Level Disentangled Prompt Tuning.
CoRR, July, 2025

Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems.
CoRR, May, 2025

Dynamic Allocation Hypernetwork with Adaptive Model Recalibration for FCL.
CoRR, March, 2025

A Causality-Inspired Model for Intima-Media Thickening Assessment in Ultrasound Videos.
CoRR, March, 2025

Keyframe-oriented Vision Token Pruning: Enhancing Efficiency of Large Vision Language Models on Long-Form Video Processing.
CoRR, March, 2025

DC²T: Disentanglement-Guided Consolidation and Consistency Training for Semi-Supervised Cross-Site Continual Segmentation.
IEEE Trans. Medical Imaging, February, 2025

Step-Audio: Unified Understanding and Generation in Intelligent Speech Interaction.
CoRR, February, 2025

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model.
CoRR, February, 2025

S²Former-OR: Single-Stage Bi-Modal Transformer for Scene Graph Generation in OR.
IEEE Trans. Medical Imaging, January, 2025

Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey.
Trans. Mach. Learn. Res., 2025

Semi-supervised temporal attention network for lung 4D CT ventilation estimation.
Comput. Medical Imaging Graph., 2025

Airway segmentation using Uncertainty-based Double Attention Detail Supplement Network.
Biomed. Signal Process. Control., 2025

Phi: Leveraging Pattern-based Hierarchical Sparsity for High-Efficiency Spiking Neural Networks.
Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

Dynamic Allocation Hypernetwork with Adaptive Model Recalibration for Federated Continual Learning.
Proceedings of the Information Processing in Medical Imaging, 2025

Min-K%++: Improved Baseline for Pre-Training Data Detection from Large Language Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Matrix3D: Large Photogrammetry Model All-in-One.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Structure-Aware Registration Network for Liver DCE-CT Images.
IEEE J. Biomed. Health Informatics, April, 2024

3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation.
Medical Image Anal., 2024

SpeechPrune: Context-aware Token Pruning for Speech Information Retrieval.
CoRR, 2024

LoBAM: LoRA-Based Backdoor Attack on Model Merging.
CoRR, 2024

A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models.
CoRR, 2024

FedProphet: Memory-Efficient Federated Adversarial Training via Theoretic-Robustness and Low-Inconsistency Cascade Learning.
CoRR, 2024

Criticality Leveraged Adversarial Training (CLAT) for Boosted Performance via Parameter Efficiency.
CoRR, 2024

Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models.
CoRR, 2024

Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models.
CoRR, 2024

S^2Former-OR: Single-Stage Bimodal Transformer for Scene Graph Generation in OR.
CoRR, 2024

Construction of unbiased dental template and parametric dental model for precision digital dentistry.
Biomed. Signal Process. Control., 2024

Comprehensive Generative Replay for Task-Incremental Segmentation with Concurrent Appearance and Semantic Forgetting.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

JointNet: Extending Text-to-Image Diffusion for Dense Distribution Modeling.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

SD-NAE: Generating Natural Adversarial Examples with Stable Diffusion.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Direct2.5: Diverse Text-to-3D Generation via Multi-view 2.5D Diffusion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

OSR-ViT: A Simple and Modular Framework for Open-Set Object Detection and Discovery.
Proceedings of the IEEE International Conference on Big Data, 2024

2023
CDDSA: Contrastive domain disentanglement and style augmentation for generalizable medical image segmentation.
Medical Image Anal., October, 2023

S<sup>3</sup>R: Shape and Semantics-Based Selective Regularization for Explainable Continual Segmentation Across Multiple Sites.
IEEE Trans. Medical Imaging, September, 2023

Energy consumption optimisation for machining processes based on numerical control programs.
Adv. Eng. Informatics, August, 2023

Wi-ID: WiFi-Based Identification System Using Rock-Paper-Scissors Hand Gestures.
Wirel. Pers. Commun., February, 2023

Contrastive Semi-Supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures.
IEEE Trans. Medical Imaging, 2023

Vis-MVSNet: Visibility-Aware Multi-view Stereo Network.
Int. J. Comput. Vis., 2023

3DSAM-adapter: Holistic Adaptation of SAM from 2D to 3D for Promptable Medical Image Segmentation.
CoRR, 2023

OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection.
CoRR, 2023

Construction of unbiased dental template and parametric dental model for precision digital dentistry.
CoRR, 2023

SIO: Synthetic In-Distribution Data Benefits Out-of-Distribution Detection.
CoRR, 2023

Deep learning reveals the common spectrum underlying multiple brain disorders in youth and elders from brain functional networks.
CoRR, 2023

Effective lung ventilation estimation based on 4D CT image registration and supervoxels.
Biomed. Signal Process. Control., 2023

Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-grained Environments.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

NeILF++: Inter-Reflectable Light Fields for Geometry and Material Estimation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Fine-grain Inference on Out-of-Distribution Data with Hierarchical Classification.
Proceedings of the Conference on Lifelong Learning Agents, 2023

2022
CAR-Net: A Deep Learning-Based Deformation Model for 3D/2D Coronary Artery Registration.
IEEE Trans. Medical Imaging, 2022

Improving Out-of-Distribution Detection by Learning From the Deployment Environment.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Contrastive Domain Disentanglement for Generalizable Medical Image Segmentation.
CoRR, 2022

An automatic framework for estimating the pose of the catheter distal section using a coarse-to-fine network.
Comput. Methods Programs Biomed., 2022

Progressive Deep Segmentation of Coronary Artery via Hierarchical Topology Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Learning Towards Synchronous Network Memorizability and Generalizability for Continual Segmentation Across Multiple Sites.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Mapping in Cycles: Dual-Domain PET-CT Synthesis Framework with Cycle-Consistent Constraints.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Deep-Learning Based T<sub>1</sub> and T<sub>2</sub> Quantification from Undersampled Magnetic Resonance Fingerprinting Data to Track Tracer Kinetics in Small Laboratory Animals.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

NeILF: Neural Incident Light Field for Physically-based Material Estimation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Critical Regularizations for Neural Surface Reconstruction in the Wild.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Privacy Leakage of Adversarial Training Models in Federated Learning Systems.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
An Efficient Power and Data Synchronous Transfer Method for Wireless Power Transfer System Using Double-D Coupling Coil.
IEEE Trans. Ind. Electron., 2021

MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning.
Medical Image Anal., 2021

Fine-grained Out-of-Distribution Detection with Mixup Outlier Exposure.
CoRR, 2021

Switched-Capacitor Tuning for Three-Phase Wireless Power Receiver Based on Perturbation and Observation Method.
IEEE Access, 2021

Comprehensive Importance-Based Selective Regularization for Continual Segmentation Across Multiple Sites.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

SS-CADA: A Semi-Supervised Cross-Anatomy Domain Adaptation for Coronary Artery Segmentation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

The Maximum and Minimum Price in Trinomial Model.
Proceedings of the ICSEB 2021: 5th International Conference on Software and e-Business, Osaka, Japan, December 3, 2021

Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap?
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Learning Signed Distance Field for Multi-view Surface Reconstruction.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Three gesture signals in WiFi environment.
Dataset, August, 2020

Weakly supervised vessel segmentation in X-ray angiograms by self-paced learning from noisy labels with suggestive annotation.
Neurocomputing, 2020

Automatic detection of coronary artery stenosis by convolutional neural network with temporal constraint.
Comput. Biol. Medicine, 2020

An IoV Route Planning Service Based on LEO Constellation Satellites.
Proceedings of the Simulation Tools and Techniques - 12th EAI International Conference, 2020

DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning Stereo Matchability in Disparity Regression Networks.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Deformable Registration of Coronary Arteries with Topological Constraints for Image-Guided Vascular Interventions.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

BlendedMVS: A Large-Scale Dataset for Generalized Multi-View Stereo Networks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Visibility-aware Multi-view Stereo Network.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019
A novel active learning framework for classification: Using weighted rank aggregation to achieve multiple query criteria.
Pattern Recognit., 2019

Multi-Scale Time-Frequency Attention for Rare Sound Event Detection.
CoRR, 2019

Multimodal brain tumor image segmentation using WRN-PPNet.
Comput. Medical Imaging Graph., 2019

Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment.
Proceedings of the Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2019

Multi-Scale Time-Frequency Attention for Acoustic Event Detection.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

2018
Towards Leveraging the Information of Gradients in Optimization-based Adversarial Attack.
CoRR, 2018

Vessel Enhancement Based on Length-constrained Hessian Information.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

MINTIN: Maxout-Based and Input-Normalized Transformation Invariant Neural Network.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2011
SiGe HBT Power Amplifier design using 0.35 µm BiCMOS technology with through-silicon-via.
Proceedings of the 2011 IEEE 9th International Conference on ASIC, 2011


  Loading...