Yong Liu

Orcid: 0000-0002-1590-2029

Affiliations:
  • A*STAR, Artificial Intelligence Initiative, Singapore
  • A*STAR, Institute of High Performance Computing, Singapore
  • National University of Singapore, Department of Electrical and Computer Engineering, Singapore (PhD 2006)


According to our database1, Yong Liu authored at least 105 papers between 2007 and 2026.

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

Timeline

Legend:

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Online presence:

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Bibliography

2026
EH-Benchmark: Ophthalmic hallucination benchmark and agent-driven top-down traceable reasoning workflow.
Inf. Fusion, 2026

2025
Text to Image for Multi-Label Image Recognition With Joint Prompt-Adapter Learning.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2025

Diffusion-Enhanced Test-Time Adaptation with Text and Image Augmentation.
Int. J. Comput. Vis., August, 2025

Improving Learning of New Diseases through Knowledge-Enhanced Initialization for Federated Adapter Tuning.
CoRR, August, 2025

GAPNet: A Lightweight Framework for Image and Video Salient Object Detection via Granularity-Aware Paradigm.
CoRR, August, 2025

Continuous Disentangled Joint Space Learning for Domain Generalization.
IEEE Trans. Neural Networks Learn. Syst., July, 2025

MaskedCLIP: Bridging the Masked and CLIP Space for Semi-Supervised Medical Vision-Language Pre-training.
CoRR, July, 2025

Multimodal, Multi-Disease Medical Imaging Foundation Model (MerMED-FM).
CoRR, July, 2025

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation.
CoRR, June, 2025

An integrated language-vision foundation model for conversational diagnostics and triaging in primary eye care.
CoRR, May, 2025

Training-Free Image Style Alignment for Domain Shift on Handheld Ultrasound Devices.
IEEE Trans. Medical Imaging, April, 2025

Reliable Federated Disentangling Network for Non-IID Domain Feature.
IEEE Trans. Big Data, April, 2025

AiRacleX: Automated Detection of Price Oracle Manipulations via LLM-Driven Knowledge Mining and Prompt Generation.
CoRR, February, 2025

Semi-rPPG: Semi-Supervised Remote Physiological Measurement with Curriculum Pseudo-Labeling.
CoRR, February, 2025

Are Traditional Deep Learning Model Approaches as Effective as a Retinal-Specific Foundation Model for Ocular and Systemic Disease Detection?
CoRR, January, 2025

Semi-rPPG: Semi-Supervised Remote Physiological Measurement With Curriculum Pseudo-Labeling.
IEEE Trans. Instrum. Meas., 2025

MDDIP: Efficient single-layer pixel-based metasurface denoising via deep image prior.
Knowl. Based Syst., 2025

Ad<sup>2</sup>Mix: Adversarial and Adaptive Mixup for Unsupervised Domain Adaptation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Federated Residual Low-Rank Adaptation of Large Language Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

On the Importance of Language-driven Representation Learning for Heterogeneous Federated Learning.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
MedNAS: Multiscale Training-Free Neural Architecture Search for Medical Image Analysis.
IEEE Trans. Evol. Comput., June, 2024

Geometric Correspondence-Based Multimodal Learning for Ophthalmic Image Analysis.
IEEE Trans. Medical Imaging, May, 2024

Multi-objective evolutionary multi-tasking band selection algorithm for hyperspectral image classification.
Swarm Evol. Comput., 2024

Optical coherence tomography choroidal enhancement using generative deep learning.
npj Digit. Medicine, 2024

A surrogate-assisted extended generative adversarial network for parameter optimization in free-form metasurface design.
Neural Networks, 2024

Privacy-Preserving Federated Foundation Model for Generalist Ultrasound Artificial Intelligence.
CoRR, 2024

Global Challenge for Safe and Secure LLMs Track 1.
CoRR, 2024

MStableChain: Towards Multi-Native Stablecoins in EVM-Compatible Blockchain for Stable Fee and Mass Adoption.
CoRR, 2024

From Generalist to Specialist: Adapting Vision Language Models via Task-Specific Visual Instruction Tuning.
CoRR, 2024

CPT: Consistent Proxy Tuning for Black-box Optimization.
CoRR, 2024

Confidence-Based Task Prediction in Continual Disease Classification Using Probability Distribution.
CoRR, 2024

Tailoring Generative Adversarial Networks for Smooth Airfoil Design.
CoRR, 2024

Don't Forget What I did?: Assessing Client Contributions in Federated Learning.
CoRR, 2024

Training-free image style alignment for self-adapting domain shift on handheld ultrasound devices.
CoRR, 2024

Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental Learning.
CoRR, 2024

BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-Rays.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Class Balance Matters to Active Class-Incremental Learning.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Partially Supervised Unpaired Multi-modal Learning for Label-Efficient Medical Image Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

MedMLP: An Efficient MLP-Like Network for Zero-Shot Retinal Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

A New Perspective to Boost Performance Fairness For Medical Federated Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Multi-Scale Region-Aware Implicit Neural Network for Medical Images Matting.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Enhancing Community Vision Screening: AI-Driven Retinal Photography for Early Disease Detection and Patient Trust.
Proceedings of the Ophthalmic Medical Image Analysis - 11th International Workshop, 2024

MedSynth: Leveraging Generative Model for Healthcare Data Sharing.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Towards a Benchmark for Colorectal Cancer Segmentation in Endorectal Ultrasound Videos: Dataset and Model Development.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Memory-Efficient High-Resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Sentence-level Prompts Benefit Composed Image Retrieval.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

An Aggregation-Free Federated Learning for Tackling Data Heterogeneity.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

RLPeri: Accelerating Visual Perimetry Test with Reinforcement Learning and Convolutional Feature Extraction.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Self-Guided Optimization Semi-Supervised Method for Joint Segmentation of Macular Hole and Cystoid Macular Edema in Retinal OCT Images.
IEEE Trans. Biomed. Eng., July, 2023

Federated benchmarking of medical artificial intelligence with MedPerf.
Nat. Mac. Intell., July, 2023

Contrastive domain adaptation with consistency match for automated pneumonia diagnosis.
Medical Image Anal., 2023

VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering.
CoRR, 2023

Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification.
CoRR, 2023

Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment.
CoRR, 2023

TrFedDis: Trusted Federated Disentangling Network for Non-IID Domain Feature.
CoRR, 2023

EvidenceCap: Towards trustworthy medical image segmentation via evidential identity cap.
CoRR, 2023

Minimal-Supervised Medical Image Segmentation via Vector Quantization Memory.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Category-Independent Visual Explanation for Medical Deep Network Understanding.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Generative Gradient Inversion via Over-Parameterized Networks in Federated Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning Federated Visual Prompt in Null Space for MRI Reconstruction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Deep Supervised Domain Adaptation for Pneumonia Diagnosis From Chest X-Ray Images.
IEEE J. Biomed. Health Informatics, 2022

Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images.
Medical Image Anal., 2022

FedUKD: Federated UNet Model with Knowledge Distillation for Land Use Classification from Satellite and Street Views.
CoRR, 2022

SLMGAN: Single-layer metasurface design with symmetrical free-form patterns using generative adversarial networks.
Appl. Soft Comput., 2022

Facing Annotation Redundancy: OCT Layer Segmentation with only 10 Annotated Pixels per Layer.
Proceedings of the Resource-Efficient Medical Image Analysis - First MICCAI Workshop, 2022

Tiny-Lesion Segmentation in OCT via Multi-scale Wavelet Enhanced Transformer.
Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 2022

Localizing Anatomical Landmarks in Ocular Images Using Zoom-In Attentive Networks.
Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 2022

An Efficient Defending Mechanism Against Image Attacking on Medical Image Segmentation Models.
Proceedings of the Resource-Efficient Medical Image Analysis - First MICCAI Workshop, 2022

Airfoil Inverse Design using Conditional Generative Adversarial Networks.
Proceedings of the 17th International Conference on Control, 2022

CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Partially-Supervised Learning for Vessel Segmentation in Ocular Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Few-Shot Domain Adaptation with Polymorphic Transformers.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Medical Image Segmentation using Squeeze-and-Expansion Transformers.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
Feature Lenses: Plug-and-play Neural Modules for Transformation-Invariant Visual Representations.
CoRR, 2020

RoboCoDraw: Robotic Avatar Drawing with GAN-Based Style Transfer and Time-Efficient Path Optimization.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
AnomalyNet: An Anomaly Detection Network for Video Surveillance.
IEEE Trans. Inf. Forensics Secur., 2019

Efficient Robotic Task Generalization Using Deep Model Fusion Reinforcement Learning.
Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019

Multi-discriminator Generative Adversarial Networks for Improved Thin Retinal Vessel Segmentation.
Proceedings of the Ophthalmic Medical Image Analysis - 6th International Workshop, 2019

Multi-Instance Multi-Scale CNN for Medical Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Coverage Path Planning using Path Primitive Sampling and Primitive Coverage Graph for Visual Inspection.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018
Orthogonal Principal Coefficients Embedding for Unsupervised Subspace Learning.
IEEE Trans. Cogn. Dev. Syst., 2018

A Computational Framework for Automatic Online Path Generation of Robotic Inspection Tasks via Coverage Planning and Reinforcement Learning.
IEEE Access, 2018

Cost-Efficient and Latency-Aware Workflow Scheduling Policy for Container-Based Systems.
Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018

EMRShare: A Cross-Organizational Medical Data Sharing and Management Framework Using Permissioned Blockchain.
Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018

A Learning-based Approach for Error Compensation of Industrial Manipulator with Hybrid Model.
Proceedings of the 15th International Conference on Control, 2018

Generative Adversarial Networks (GANs) for Retinal Fundus Image Synthesis.
Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018

SC2Net: Sparse LSTMs for Sparse Coding.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Performance Modelling and Cost Effective Execution for Distributed Graph Processing on Configurable VMs.
Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017

2016
Simple and Efficient Learning using Privileged Information.
CoRR, 2016

Improved Recurrent Neural Networks for Session-based Recommendations.
Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, 2016

2015
Neural Modeling of Buying Behaviour for E-Commerce from Clicking Patterns.
Proceedings of the 2015 International ACM Recommender Systems Challenge, 2015

2011
Local restoration with multiple spanning trees in metro ethernet networks.
IEEE/ACM Trans. Netw., 2011

Fast spanning tree reconnection mechanism for resilient Metro Ethernet networks.
Comput. Networks, 2011

2010
Achieving High Performance Burst Transmission for Bursty Traffic using Optical Burst Chain Switching in WDM Networks.
IEEE Trans. Commun., 2010

2009
Multipath traffic engineering in WDM optical burst switching networks.
IEEE Trans. Commun., 2009

Fast Spanning Tree Reconnection for Resilient Metro Ethernet Networks.
Proceedings of IEEE International Conference on Communications, 2009

Handling Double-Link Failures in Metro Ethernet Networks Using Fast Spanning Tree Reconnection.
Proceedings of the Global Communications Conference, 2009. GLOBECOM 2009, Honolulu, Hawaii, USA, 30 November, 2009

2007
Max-min fairness in WDM optical burst switching networks.
J. High Speed Networks, 2007

A Unified Network Control and Management System for an Integrated EPON and Metro Optical Network Testbed.
Proceedings of the 3rd International ICST Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities, 2007


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