Yong Luo

Orcid: 0000-0002-2296-6370

Affiliations:
  • Wuhan University, School of Computer Science, Hubei Key Laboratory of Multimedia and Network Communication Engineering, China
  • Nanyang Technological University, School of Computer Science and Engineering,, Singapore
  • Peking University, School of Electronics Engineering and Computer Science, Beijing, China (former)


According to our database1, Yong Luo authored at least 121 papers between 2011 and 2024.

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

Timeline

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Bibliography

2024
HPFL: hyper-network guided personalized federated learning for multi-center tuberculosis chest x-ray diagnosis.
Multim. Tools Appl., September, 2024

Foundation models matter: federated learning for multi-center tuberculosis diagnosis via adaptive regularization and model-contrastive learning.
World Wide Web (WWW), May, 2024

DeViT: Decomposing Vision Transformers for Collaborative Inference in Edge Devices.
IEEE Trans. Mob. Comput., May, 2024

Not All Instances Contribute Equally: Instance-Adaptive Class Representation Learning for Few-Shot Visual Recognition.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

Textual Enhanced Adaptive Meta-Fusion for Few-Shot Visual Recognition.
IEEE Trans. Multim., 2024

UVaT: Uncertainty Incorporated View-Aware Transformer for Robust Multi-View Classification.
IEEE Trans. Image Process., 2024

MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2024

MG-Net: Learn to Customize QAOA with Circuit Depth Awareness.
CoRR, 2024

USCD: Improving Code Generation of LLMs by Uncertainty-Aware Selective Contrastive Decoding.
CoRR, 2024

Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models.
CoRR, 2024

SMILE: Zero-Shot Sparse Mixture of Low-Rank Experts Construction From Pre-Trained Foundation Models.
CoRR, 2024

Sequential Federated Learning in Hierarchical Architecture on Non-IID Datasets.
CoRR, 2024

Towards Efficient Pareto Set Approximation via Mixture of Experts Based Model Fusion.
CoRR, 2024

FusionBench: A Comprehensive Benchmark of Deep Model Fusion.
CoRR, 2024

Separable Power of Classical and Quantum Learning Protocols Through the Lens of No-Free-Lunch Theorem.
CoRR, 2024

Federated Learning with Only Positive Labels by Exploring Label Correlations.
CoRR, 2024

WisdoM: Improving Multimodal Sentiment Analysis by Fusing Contextual World Knowledge.
CoRR, 2024

Joint Input and Output Coordination for Class-Incremental Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Zero-shot Learning for Preclinical Drug Screening.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Eliminating the Cross-Domain Misalignment in Text-guided Image Inpainting.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Merging Multi-Task Models via Weight-Ensembling Mixture of Experts.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Training-Free Robust Neural Network Search Via Pruning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Parameter-Efficient Multi-Task Model Fusion with Partial Linearization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Improving Generalized Zero-Shot Learning by Exploring the Diverse Semantics from External Class Names.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Cycle Self-Refinement for Multi-Source Domain Adaptation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Decomposing Semantic Shifts for Composed Image Retrieval.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Learning.
IEEE Trans. Mob. Comput., October, 2023

Region-adaptive Concept Aggregation for Few-shot Visual Recognition.
Mach. Intell. Res., August, 2023

A Knowledge-Enriched Ensemble Method for Word Embedding and Multi-Sense Embedding.
IEEE Trans. Knowl. Data Eng., June, 2023

DRRNets: Dynamic Recurrent Routing via Low-Rank Regularization in Recurrent Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., April, 2023

Graph Regularized Structured Output SVM for Early Expression Detection With Online Extension.
IEEE Trans. Cybern., March, 2023

Two-Stream Prototype Learning Network for Few-Shot Face Recognition Under Occlusions.
IEEE Trans. Multim., 2023

Concrete Subspace Learning based Interference Elimination for Multi-task Model Fusion.
CoRR, 2023

Zero-shot Learning of Drug Response Prediction for Preclinical Drug Screening.
CoRR, 2023

Learn From Model Beyond Fine-Tuning: A Survey.
CoRR, 2023

Decompose Semantic Shifts for Composed Image Retrieval.
CoRR, 2023

PartSeg: Few-shot Part Segmentation via Part-aware Prompt Learning.
CoRR, 2023

FHA-Kitchens: A Novel Dataset for Fine-Grained Hand Action Recognition in Kitchen Scenes.
CoRR, 2023

Transition role of entangled data in quantum machine learning.
CoRR, 2023

Unsupervised Cross-domain Pulmonary Nodule Detection without Source Data.
CoRR, 2023

SGDA: Towards 3D Universal Pulmonary Nodule Detection via Slice Grouped Domain Attention.
CoRR, 2023

MIGPerf: A Comprehensive Benchmark for Deep Learning Training and Inference Workloads on Multi-Instance GPUs.
CoRR, 2023

CLNode: Curriculum Learning for Node Classification.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Federated Learning with Manifold Regularization and Normalized Update Reaggregation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

LGViT: Dynamic Early Exiting for Accelerating Vision Transformer.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Rethinking the Localization in Weakly Supervised Object Localization.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Improving Heterogeneous Model Reuse by Density Estimation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Audio-Visual Generalized Zero-Shot Learning Based on Variational Information Bottleneck.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Symmetric Pruning in Quantum Neural Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

FedARC: Federated Learning for Multi-Center Tuberculosis Chest X-ray Diagnosis with Adaptive Regularizing Contrastive Representation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

FedABC: Targeting Fair Competition in Personalized Federated Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
CDFKD-MFS: Collaborative Data-Free Knowledge Distillation via Multi-Level Feature Sharing.
IEEE Trans. Multim., 2022

Intrinsic Performance Influence-based Participant Contribution Estimation for Horizontal Federated Learning.
ACM Trans. Intell. Syst. Technol., 2022

Hyper-relationship Learning Network for Scene Graph Generation.
CoRR, 2022

Robust Metric Boosts Transfer.
Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022

Nonlinear Multi-Model Reuse.
Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022

Knowledge Graph enhanced Multimodal Learning for Few-shot Visual Recognition.
Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022

Leveraging GAN Priors for Few-Shot Part Segmentation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

CycleResume: A Cycle Learning Framework with Hybrid Attention for Fine-Grained Talent-Job Fit.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Near-Online Multi-Pedestrian Tracking via Combining Multiple Consistent Appearance Cues.
IEEE Trans. Circuits Syst. Video Technol., 2021

Towards understanding the power of quantum kernels in the NISQ era.
Quantum, 2021

Toward a Wearable Crowdsource System to Monitor Respiratory Symptoms for Pandemic Early Warning.
IEEE Netw., 2021

ModelPS: An Interactive and Collaborative Platform for Editing Pre-trained Models at Scale.
CoRR, 2021

A Serverless Cloud-Fog Platform for DNN-Based Video Analytics with Incremental Learning.
CoRR, 2021

Data-Free Ensemble Knowledge Distillation for Privacy-conscious Multimedia Model Compression.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Model Compression via Collaborative Data-Free Knowledge Distillation for Edge Intelligence.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Federated Learning for Non-IID Data via Unified Feature Learning and Optimization Objective Alignment.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
When Wireless Video Streaming Meets AI: A Deep Learning Approach.
IEEE Wirel. Commun., 2020

Towards Efficient Front-End Visual Sensing for Digital Retina: A Model-Centric Paradigm.
IEEE Trans. Multim., 2020

Transforming Device Fingerprinting for Wireless Security via Online Multitask Metric Learning.
IEEE Internet Things J., 2020

xTML: A Unified Heterogeneous Transfer Metric Learning Framework for Multimedia Applications [Application Notes].
IEEE Comput. Intell. Mag., 2020

Hysia: Serving DNN-Based Video-to-Retail Applications in Cloud.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Look, Read and Feel: Benchmarking Ads Understanding with Multimodal Multitask Learning.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Semi-supervised Online Multi-Task Metric Learning for Visual Recognition and Retrieval.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Deep Heterogeneous Multi-Task Metric Learning for Visual Recognition and Retrieval.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019
Transferring Knowledge Fragments for Learning Distance Metric from a Heterogeneous Domain.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Look, Read and Feel: Benchmarking Ads Understanding with Multimodal Multitask Learning.
CoRR, 2019

Heterogeneous Multi-task Metric Learning across Multiple Domains.
CoRR, 2019

Multi-view Vector-valued Manifold Regularization for Multi-label Image Classification.
CoRR, 2019

Multi-View Matrix Completion for Multi-Label Image Classification.
CoRR, 2019

Knowledge-Enhanced Ensemble Learning for Word Embeddings.
Proceedings of the World Wide Web Conference, 2019

Toward Intelligent Visual Sensing and Low-cost Analysis: A Collaborative Computing Approach.
Proceedings of the 2019 IEEE Visual Communications and Image Processing, 2019

Heterogeneous Transfer Learning for Thermal Comfort Modeling.
Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, 2019

Towards Digital Retina in Smart Cities: A Model Generation, Utilization and Communication Paradigm.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Incorporating Category Taxonomy in Deep Reinforcement Learning Based Image Hashing.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

ResumeGAN: An Optimized Deep Representation Learning Framework for Talent-Job Fit via Adversarial Learning.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Heterogeneous Multitask Metric Learning Across Multiple Domains.
IEEE Trans. Neural Networks Learn. Syst., 2018

Data-Driven Lightweight Interest Point Selection for Large-Scale Visual Search.
IEEE Trans. Multim., 2018

Toward Intelligent Product Retrieval for TV-to-Online (T2O) Application: A Transfer Metric Learning Approach.
IEEE Trans. Multim., 2018

Cost-Sensitive Feature Selection by Optimizing F-Measures.
IEEE Trans. Image Process., 2018

Transfer Metric Learning: Algorithms, Applications and Outlooks.
CoRR, 2018

How to Find a Perfect Data Scientist: A Distance-Metric Learning Approach.
IEEE Access, 2018

Online Heterogeneous Transfer Metric Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Deep Discrete Prototype Multilabel Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

ResumeNet: A Learning-Based Framework for Automatic Resume Quality Assessment.
Proceedings of the IEEE International Conference on Data Mining, 2018

2017
General Heterogeneous Transfer Distance Metric Learning via Knowledge Fragments Transfer.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Exploiting High-Order Information in Heterogeneous Multi-Task Feature Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Cost-Sensitive Feature Selection via F-Measure Optimization Reduction.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Large Margin Multi-Modal Multi-Task Feature Extraction for Image Classification.
IEEE Trans. Image Process., 2016

On Combining Side Information and Unlabeled Data for Heterogeneous Multi-Task Metric Learning.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Toward Effortless TV-to-Online (T2O) Experience: A Novel Metric Learning Approach.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

2015
Tensor Canonical Correlation Analysis for Multi-View Dimension Reduction.
IEEE Trans. Knowl. Data Eng., 2015

Multiview Matrix Completion for Multilabel Image Classification.
IEEE Trans. Image Process., 2015

Manifold Regularized Transfer Distance Metric Learning.
Proceedings of the British Machine Vision Conference 2015, 2015

Low-Rank Multi-View Learning in Matrix Completion for Multi-Label Image Classification.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Decomposition-Based Transfer Distance Metric Learning for Image Classification.
IEEE Trans. Image Process., 2014

Group Sparse Multiview Patch Alignment Framework With View Consistency for Image Classification.
IEEE Trans. Image Process., 2014

Manifold Regularized Multi-view Feature Selection for Web Image Annotation.
Proceedings of the Advances in Multimedia Information Processing - PCM 2014, 2014

Multi-view Multi-task Feature Extraction for Web Image Classification.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Pre-Trained Multi-View Word Embedding Using Two-Side Neural Network.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Multiview Vector-Valued Manifold Regularization for Multilabel Image Classification.
IEEE Trans. Neural Networks Learn. Syst., 2013

Manifold Regularized Multitask Learning for Semi-Supervised Multilabel Image Classification.
IEEE Trans. Image Process., 2013

FIM: A Real-Time Content Based Sample Image Matching System.
Proceedings of the Seventh International Conference on Image and Graphics, 2013

Vector-Valued Multi-View Semi-Supervsed Learning for Multi-Label Image Classification.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2011
Query Difficulty Guided Image Retrieval System.
Proceedings of the Advances in Multimedia Modeling, 2011

Shared feature extraction for semi-supervised image classification.
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Combining feature selectors in a product advertisement classification system.
Proceedings of the First Asian Conference on Pattern Recognition, 2011


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