Yong Luo

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 95

Top Venues

Publications

Chaoyang Zhou, Zengmao Wang, Bo Du, Yong Luo
Cycle Self-Refinement for Multi-Source Domain Adaptation. AAAI (2024)
Mengya Han, Yibing Zhan, Yong Luo, Bo Du, Han Hu, Yonggang Wen, Dacheng Tao
Not All Instances Contribute Equally: Instance-Adaptive Class Representation Learning for Few-Shot Visual Recognition. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Chang Liu, Yong Luo, Yongchao Xu, Bo Du
Foundation models matter: federated learning for multi-center tuberculosis diagnosis via adaptive regularization and model-contrastive learning. World Wide Web (WWW) 27 (3) (2024)
Xingyu Yang, Daqing Liu, Heng Zhang, Yong Luo, Chaoyue Wang, Jing Zhang
Decomposing Semantic Shifts for Composed Image Retrieval. AAAI (2024)
Anke Tang, Li Shen, Yong Luo, Yibing Zhan, Han Hu, Bo Du, Yixin Chen, Dacheng Tao
Parameter-Efficient Multi-Task Model Fusion with Partial Linearization. ICLR (2024)
Yapeng Li, Yong Luo, Lefei Zhang, Zengmao Wang, Bo Du
MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Anke Tang, Li Shen, Yong Luo, Shiwei Liu, Han Hu, Bo Du
Towards Efficient Pareto Set Approximation via Mixture of Experts Based Model Fusion. CoRR (2024)
Xinbiao Wang, Yuxuan Du, Kecheng Liu, Yong Luo, Bo Du, Dacheng Tao
Separable Power of Classical and Quantum Learning Protocols Through the Lens of No-Free-Lunch Theorem. CoRR (2024)
Ziyi Zhang, Sen Zhang, Yibing Zhan, Yong Luo, Yonggang Wen, Dacheng Tao
Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases. CoRR (2024)
Shuai Wang, Liang Ding, Li Shen, Yong Luo, Bo Du, Dacheng Tao
OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models. ACL (Findings) (2024)
Xuming An, Dui Wang, Li Shen, Yong Luo, Han Hu, Bo Du, Yonggang Wen, Dacheng Tao
Federated Learning with Only Positive Labels by Exploring Label Correlations. CoRR (2024)
Guanyu Xu, Zhiwei Hao, Yong Luo, Han Hu, Jianping An, Shiwen Mao
DeViT: Decomposing Vision Transformers for Collaborative Inference in Edge Devices. IEEE Trans. Mob. Comput. 23 (5) (2024)
Mengya Han, Yibing Zhan, Yong Luo, Han Hu, Kehua Su, Bo Du
Textual Enhanced Adaptive Meta-Fusion for Few-Shot Visual Recognition. IEEE Trans. Multim. 26 (2024)
Anke Tang, Li Shen, Yong Luo, Han Hu, Bo Du, Dacheng Tao
FusionBench: A Comprehensive Benchmark of Deep Model Fusion. CoRR (2024)
Mengya Han, Heliang Zheng, Chaoyue Wang, Yong Luo, Han Hu, Jing Zhang, Yonggang Wen
PartSeg: Few-shot Part Segmentation via Part-aware Prompt Learning. CoRR (2023)
Xingyu Yang, Mengya Han, Yong Luo, Han Hu, Yonggang Wen
Two-Stream Prototype Learning Network for Few-Shot Face Recognition Under Occlusions. IEEE Trans. Multim. 25 (2023)
Dongjing Shan, Yong Luo, Xiongwei Zhang, Chao Zhang
DRRNets: Dynamic Recurrent Routing via Low-Rank Regularization in Recurrent Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 34 (4) (2023)
Anke Tang, Yong Luo, Han Hu, Fengxiang He, Kehua Su, Bo Du, Yixin Chen, Dacheng Tao
Improving Heterogeneous Model Reuse by Density Estimation. IJCAI (2023)
Ting Zhe, Yongqian Li, Jing Zhang, Yong Luo, Han Hu, Bo Du, Yonggang Wen, Dacheng Tao
FHA-Kitchens: A Novel Dataset for Fine-Grained Hand Action Recognition in Kitchen Scenes. CoRR (2023)
Huaizheng Zhang, Yuanming Li, Wencong Xiao, Yizheng Huang, Xing Di, Jianxiong Yin, Simon See, Yong Luo, Chiew Tong Lau, Yang You
MIGPerf: A Comprehensive Benchmark for Deep Learning Training and Inference Workloads on Multi-Instance GPUs. CoRR (2023)
Xinbiao Wang, Junyu Liu, Tongliang Liu, Yong Luo, Yuxuan Du, Dacheng Tao
Symmetric Pruning in Quantum Neural Networks. ICLR (2023)
Xingyu Yang, Daqing Liu, Heng Zhang, Yong Luo, Chaoyue Wang, Jing Zhang
Decompose Semantic Shifts for Composed Image Retrieval. CoRR (2023)
Anke Tang, Li Shen, Yong Luo, Yibing Zhan, Han Hu, Bo Du, Yixin Chen, Dacheng Tao
Parameter Efficient Multi-task Model Fusion with Partial Linearization. CoRR (2023)
Xiaowen Wei, Xiuwen Gong, Yibing Zhan, Bo Du, Yong Luo, Wenbin Hu
CLNode: Curriculum Learning for Node Classification. WSDM (2023)
Anke Tang, Yong Luo, Han Hu, Fengxiang He, Kehua Su, Bo Du, Yixin Chen, Dacheng Tao
Improving Heterogeneous Model Reuse by Density Estimation. CoRR (2023)
Xinbiao Wang, Yuxuan Du, Zhuozhuo Tu, Yong Luo, Xiao Yuan, Dacheng Tao
Transition role of entangled data in quantum machine learning. CoRR (2023)
Guanyu Xu, Jiawei Hao, Li Shen, Han Hu, Yong Luo, Hui Lin, Jialie Shen
LGViT: Dynamic Early Exiting for Accelerating Vision Transformer. ACM Multimedia (2023)
Zhiwei Hao, Guanyu Xu, Yong Luo, Han Hu, Jianping An, Shiwen Mao
Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Learning. IEEE Trans. Mob. Comput. 22 (10) (2023)
Rui Xu, Yong Luo, Han Hu, Bo Du, Jialie Shen, Yonggang Wen
Rethinking the Localization in Weakly Supervised Object Localization. ACM Multimedia (2023)
Mengya Han, Yibing Zhan, Baosheng Yu, Yong Luo, Han Hu, Bo Du, Yonggang Wen, Dacheng Tao
Region-adaptive Concept Aggregation for Few-shot Visual Recognition. Mach. Intell. Res. 20 (4) (2023)
Lanting Fang, Yong Luo, Kaiyu Feng, Kaiqi Zhao, Aiqun Hu
A Knowledge-Enriched Ensemble Method for Word Embedding and Multi-Sense Embedding. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Liping Xie, Yong Luo, Shun-Feng Su, Haikun Wei
Graph Regularized Structured Output SVM for Early Expression Detection With Online Extension. IEEE Trans. Cybern. 53 (3) (2023)
Yapeng Li, Yong Luo, Bo Du
Audio-Visual Generalized Zero-Shot Learning Based on Variational Information Bottleneck. ICME (2023)
Mengya Han, Yibing Zhan, Yong Luo, Bo Du, Han Hu, Yonggang Wen, Dacheng Tao
Not All Instances Contribute Equally: Instance-adaptive Class Representation Learning for Few-Shot Visual Recognition. CoRR (2022)
Yong Luo, Ling-Yu Duan, Yan Bai, Tongliang Liu, Yihang Lou, Yonggang Wen
Nonlinear Multi-Model Reuse. MMSP (2022)
Zichen Zhang, Yong Luo, Yonggang Wen, Xinwen Zhang
CycleResume: A Cycle Learning Framework with Hybrid Attention for Fine-Grained Talent-Job Fit. CICAI (3) (2022)
Qiancheng Yang, Yong Luo, Han Hu, Xin Zhou, Bo Du, Dacheng Tao
Robust Metric Boosts Transfer. MMSP (2022)
Mengya Han, Heliang Zheng, Chaoyue Wang, Yong Luo, Han Hu, Bo Du
Leveraging GAN Priors for Few-Shot Part Segmentation. ACM Multimedia (2022)
Lin Zhang, Lixin Fan, Yong Luo, Ling-Yu Duan
Intrinsic Performance Influence-based Participant Contribution Estimation for Horizontal Federated Learning. ACM Trans. Intell. Syst. Technol. 13 (6) (2022)
Zhiwei Hao, Yong Luo, Zhi Wang, Han Hu, Jianping An
CDFKD-MFS: Collaborative Data-Free Knowledge Distillation via Multi-Level Feature Sharing. IEEE Trans. Multim. 24 (2022)
Zhiwei Hao, Yong Luo, Zhi Wang, Han Hu, Jianping An
CDFKD-MFS: Collaborative Data-free Knowledge Distillation via Multi-level Feature Sharing. CoRR (2022)
Mengya Han, Yibing Zhan, Baosheng Yu, Yong Luo, Bo Du, Dacheng Tao
Knowledge Graph enhanced Multimodal Learning for Few-shot Visual Recognition. MMSP (2022)
Mengya Han, Heliang Zheng, Chaoyue Wang, Yong Luo, Han Hu, Bo Du
Leveraging GAN Priors for Few-Shot Part Segmentation. CoRR (2022)
Xinbiao Wang, Junyu Liu, Tongliang Liu, Yong Luo, Yuxuan Du, Dacheng Tao
Symmetric Pruning in Quantum Neural Networks. CoRR (2022)
Zhiwei Hao, Guanyu Xu, Yong Luo, Han Hu, Jianping An, Shiwen Mao
Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Learning. CoRR (2022)
Wei Zhang, Jie Li, Yonggang Wen, Yong Luo
Toward a Wearable Crowdsource System to Monitor Respiratory Symptoms for Pandemic Early Warning. IEEE Netw. 35 (3) (2021)
Lin Zhang, Yong Luo, Yan Bai, Bo Du, Ling-Yu Duan
Federated Learning for Non-IID Data via Unified Feature Learning and Optimization Objective Alignment. ICCV (2021)
Xinbiao Wang, Yuxuan Du, Yong Luo, Dacheng Tao
Towards understanding the power of quantum kernels in the NISQ era. CoRR (2021)
Zhiwei Hao, Yong Luo, Han Hu, Jianping An, Yonggang Wen
Data-Free Ensemble Knowledge Distillation for Privacy-conscious Multimedia Model Compression. ACM Multimedia (2021)
Zhiwei Hao, Yong Luo, Zhi Wang, Han Hu, Jianping An
Model Compression via Collaborative Data-Free Knowledge Distillation for Edge Intelligence. ICME (2021)
Xinbiao Wang, Yuxuan Du, Yong Luo, Dacheng Tao
Towards understanding the power of quantum kernels in the NISQ era. Quantum 5 (2021)
Yuanming Li, Huaizheng Zhang, Shanshan Jiang, Fan Yang, Yonggang Wen, Yong Luo
ModelPS: An Interactive and Collaborative Platform for Editing Pre-trained Models at Scale. CoRR (2021)
Huaizheng Zhang, Meng Shen, Yizheng Huang, Yonggang Wen, Yong Luo, Guanyu Gao, Kyle Guan
A Serverless Cloud-Fog Platform for DNN-Based Video Analytics with Incremental Learning. CoRR (2021)
Weijiang Feng, Long Lan, Yong Luo, Yue Yu, Xiang Zhang, Zhigang Luo
Near-Online Multi-Pedestrian Tracking via Combining Multiple Consistent Appearance Cues. IEEE Trans. Circuits Syst. Video Technol. 31 (4) (2021)
Yong Luo, Han Hu, Yonggang Wen, Dacheng Tao
Transforming Device Fingerprinting for Wireless Security via Online Multitask Metric Learning. IEEE Internet Things J. 7 (1) (2020)
Lu Liu, Han Hu, Yong Luo, Yonggang Wen
When Wireless Video Streaming Meets AI: A Deep Learning Approach. IEEE Wirel. Commun. 27 (2) (2020)
Huaizheng Zhang, Yong Luo, Qiming Ai, Yonggang Wen, Han Hu
Look, Read and Feel: Benchmarking Ads Understanding with Multimodal Multitask Learning. ACM Multimedia (2020)
Yihang Lou, Ling-Yu Duan, Yong Luo, Ziqian Chen, Tongliang Liu, Shiqi Wang, Wen Gao
Towards Efficient Front-End Visual Sensing for Digital Retina: A Model-Centric Paradigm. IEEE Trans. Multim. 22 (11) (2020)
Yangxi Li, Han Hu, Jin Li, Yong Luo, Yonggang Wen
Semi-supervised Online Multi-Task Metric Learning for Visual Recognition and Retrieval. ACM Multimedia (2020)
Shikang Gan, Yong Luo, Yonggang Wen, Tongliang Liu, Han Hu
Deep Heterogeneous Multi-Task Metric Learning for Visual Recognition and Retrieval. ACM Multimedia (2020)
Lu Liu, Yong Luo, Han Hu, Yonggang Wen, Dacheng Tao, Xin Yao
xTML: A Unified Heterogeneous Transfer Metric Learning Framework for Multimedia Applications [Application Notes]. IEEE Comput. Intell. Mag. 15 (2) (2020)
Huaizheng Zhang, Yuanming Li, Qiming Ai, Yong Luo, Yonggang Wen, Yichao Jin, Duong Nguyen Binh Ta
Hysia: Serving DNN-Based Video-to-Retail Applications in Cloud. CoRR (2020)
Huaizheng Zhang, Yuanming Li, Qiming Ai, Yong Luo, Yonggang Wen, Yichao Jin, Ta Nguyen Binh Duong
Hysia: Serving DNN-Based Video-to-Retail Applications in Cloud. ACM Multimedia (2020)
Huaizheng Zhang, Yong Luo, Qiming Ai, Nana Hou, Yonggang Wen
Look, Read and Feel: Benchmarking Ads Understanding with Multimodal Multitask Learning. CoRR (2019)
Yong Luo, Tongliang Liu, Dacheng Tao, Chao Xu
Decomposition-Based Transfer Distance Metric Learning for Image Classification. CoRR (2019)
Yong Luo, Dacheng Tao, Chang Xu, Chao Xu, Hong Liu, Yonggang Wen
Multi-view Vector-valued Manifold Regularization for Multi-label Image Classification. CoRR (2019)
Yong Luo, Tongliang Liu, Dacheng Tao, Chao Xu
Multi-View Matrix Completion for Multi-Label Image Classification. CoRR (2019)
Yong Luo, Yonggang Wen, Dacheng Tao
Heterogeneous Multi-task Metric Learning across Multiple Domains. CoRR (2019)
Weizheng Hu, Yong Luo, Zongqing Lu, Yonggang Wen
Heterogeneous Transfer Learning for Thermal Comfort Modeling. BuildSys@SenSys (2019)
Yong Luo, Yonggang Wen, Tongliang Liu, Dacheng Tao
Transferring Knowledge Fragments for Learning Distance Metric from A Heterogeneous Domain. CoRR (2019)
Yan Bai, Ling-Yu Duan, Yong Luo, Shiqi Wang, Yonggang Wen, Wen Gao
Toward Intelligent Visual Sensing and Low-cost Analysis: A Collaborative Computing Approach. VCIP (2019)
Yihang Lou, Ling-Yu Duan, Yong Luo, Ziqian Chen, Tongliang Liu, Shiqi Wang, Wen Gao
Towards Digital Retina in Smart Cities: A Model Generation, Utilization and Communication Paradigm. CoRR (2019)
Meng Liu, Chang Xu, Yong Luo, Chao Xu, Yonggang Wen, Dacheng Tao
Cost-Sensitive Feature Selection by Optimizing F-Measures. CoRR (2019)
Qiang Fu, Linsen Dong, Ziyuan Liu, Yong Luo, Yonggang Wen, Ying Li, Ling-Yu Duan
Incorporating Category Taxonomy in Deep Reinforcement Learning Based Image Hashing. ICME (2019)
Yong Luo, Huaizheng Zhang, Yonggang Wen, Xinwen Zhang
ResumeGAN: An Optimized Deep Representation Learning Framework for Talent-Job Fit via Adversarial Learning. CIKM (2019)
Yihang Lou, Ling-Yu Duan, Yong Luo, Ziqian Chen, Tongliang Liu, Shiqi Wang, Wen Gao
Towards Digital Retina in Smart Cities: A Model Generation, Utilization and Communication Paradigm. ICME (2019)
Yong Luo, Yonggang Wen, Dacheng Tao, Jie Gui, Chao Xu
Large Margin Multi-modal Multi-task Feature Extraction for Image Classification. CoRR (2019)
Yong Luo, Yonggang Wen, Tongliang Liu, Dacheng Tao
Transferring Knowledge Fragments for Learning Distance Metric from a Heterogeneous Domain. IEEE Trans. Pattern Anal. Mach. Intell. 41 (4) (2019)
Yong Luo, Yonggang Wen, Ling-Yu Duan, Dacheng Tao
Transfer Metric Learning: Algorithms, Applications and Outlooks. CoRR (2018)
Qiang Fu, Yong Luo, Yonggang Wen, Dacheng Tao, Ying Li, Ling-Yu Duan
Toward Intelligent Product Retrieval for TV-to-Online (T2O) Application: A Transfer Metric Learning Approach. IEEE Trans. Multim. 20 (8) (2018)
Yong Luo, Huaizheng Zhang, Yongjie Wang, Yonggang Wen, Xinwen Zhang
ResumeNet: A Learning-based Framework for Automatic Resume Quality Assessment. CoRR (2018)
Feng Gao, Xinfeng Zhang, Yicheng Huang, Yong Luo, Xiaoming Li, Ling-Yu Duan
Data-Driven Lightweight Interest Point Selection for Large-Scale Visual Search. IEEE Trans. Multim. 20 (10) (2018)
Meng Liu, Chang Xu, Yong Luo, Chao Xu, Yonggang Wen, Dacheng Tao
Cost-Sensitive Feature Selection by Optimizing F-Measures. IEEE Trans. Image Process. 27 (3) (2018)
Yong Luo, Tongliang Liu, Yonggang Wen, Dacheng Tao
Online Heterogeneous Transfer Metric Learning. IJCAI (2018)
Yong Luo, Yonggang Wen, Dacheng Tao
Heterogeneous Multitask Metric Learning Across Multiple Domains. IEEE Trans. Neural Networks Learn. Syst. 29 (9) (2018)
Yong Luo, Huaizheng Zhang, Yongjie Wang, Yonggang Wen, Xinwen Zhang
ResumeNet: A Learning-Based Framework for Automatic Resume Quality Assessment. ICDM (2018)
Han Hu, Yong Luo, Yonggang Wen, Yew-Soon Ong, Xinwen Zhang
How to Find a Perfect Data Scientist: A Distance-Metric Learning Approach. IEEE Access 6 (2018)
Xiaobo Shen, Weiwei Liu, Yong Luo, Yew-Soon Ong, Ivor W. Tsang
Deep Discrete Prototype Multilabel Learning. IJCAI (2018)
Yong Luo, Dacheng Tao, Yonggang Wen
Exploiting High-Order Information in Heterogeneous Multi-Task Feature Learning. IJCAI (2017)
Meng Liu, Chang Xu, Yong Luo, Chao Xu, Yonggang Wen, Dacheng Tao
Cost-Sensitive Feature Selection via F-Measure Optimization Reduction. AAAI (2017)
Yong Luo, Yonggang Wen, Tongliang Liu, Dacheng Tao
General Heterogeneous Transfer Distance Metric Learning via Knowledge Fragments Transfer. IJCAI (2017)
Yong Luo, Yonggang Wen, Dacheng Tao, Qiang Fu
Toward Effortless TV-to-Online (T2O) Experience: A Novel Metric Learning Approach. GLOBECOM (2016)
Yong Luo, Yonggang Wen, Dacheng Tao
On Combining Side Information and Unlabeled Data for Heterogeneous Multi-Task Metric Learning. IJCAI (2016)
Yong Luo, Dacheng Tao, Kotagiri Ramamohanarao, Chao Xu, Yonggang Wen
Tensor canonical correlation analysis for multi-view dimension reduction. ICDE (2016)
Yong Luo, Yonggang Wen, Dacheng Tao, Jie Gui, Chao Xu
Large Margin Multi-Modal Multi-Task Feature Extraction for Image Classification. IEEE Trans. Image Process. 25 (1) (2016)
Yong Luo, Dacheng Tao, Yonggang Wen, Kotagiri Ramamohanarao, Chao Xu
Tensor Canonical Correlation Analysis for Multi-view Dimension Reduction. CoRR (2015)
Haibo Shi, Yong Luo, Chao Xu, Yonggang Wen
Manifold Regularized Transfer Distance Metric Learning. BMVC (2015)
Yong Luo, Tongliang Liu, Dacheng Tao, Chao Xu
Multiview Matrix Completion for Multilabel Image Classification. IEEE Trans. Image Process. 24 (8) (2015)
Yong Luo, Dacheng Tao, Kotagiri Ramamohanarao, Chao Xu, Yonggang Wen
Tensor Canonical Correlation Analysis for Multi-View Dimension Reduction. IEEE Trans. Knowl. Data Eng. 27 (11) (2015)
Meng Liu, Yong Luo, Dacheng Tao, Chao Xu, Yonggang Wen
Low-Rank Multi-View Learning in Matrix Completion for Multi-Label Image Classification. AAAI (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yong Luo