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 51 papers between 2007 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

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

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

Sentence-level Prompts Benefit Composed Image Retrieval.
CoRR, 2023

Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning.
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

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

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

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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