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Yong Luo 0002
Person information
- affiliation: Wuhan University, School of Computer Science, Hubei Key Laboratory of Multimedia and Network Communication Engineering, China
- affiliation: Nanyang Technological University, School of Computer Science and Engineering,, Singapore
- affiliation (former): Peking University, School of Electronics Engineering and Computer Science, Beijing, China
Other persons with the same name
- Yong Luo — disambiguation page
- Yong Luo 0001 — University of London, Department of Computer Science, Egham, Surrey, UK (and 1 more)
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2020 – today
- 2024
- [j35]Chang Liu, Yong Luo, Yongchao Xu, Bo Du
:
HPFL: hyper-network guided personalized federated learning for multi-center tuberculosis chest x-ray diagnosis. Multim. Tools Appl. 83(29): 73273-73287 (2024) - [j34]Yapeng Li
MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j33]Yapeng Li
UVaT: Uncertainty Incorporated View-Aware Transformer for Robust Multi-View Classification. IEEE Trans. Image Process. 33: 5129-5143 (2024) - [j32]Guanyu Xu
DeViT: Decomposing Vision Transformers for Collaborative Inference in Edge Devices. IEEE Trans. Mob. Comput. 23(5): 5917-5932 (2024) - [j31]Mengya Han
Textual Enhanced Adaptive Meta-Fusion for Few-Shot Visual Recognition. IEEE Trans. Multim. 26: 2408-2418 (2024) - [j30]Mengya Han
Not All Instances Contribute Equally: Instance-Adaptive Class Representation Learning for Few-Shot Visual Recognition. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5447-5460 (2024) - [j29]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): 30 (2024) - [c62]Xingyu Yang, Daqing Liu, Heng Zhang, Yong Luo, Chaoyue Wang, Jing Zhang:
Decomposing Semantic Shifts for Composed Image Retrieval. AAAI 2024: 6576-6584 - [c61]Chaoyang Zhou, Zengmao Wang, Bo Du, Yong Luo:
Cycle Self-Refinement for Multi-Source Domain Adaptation. AAAI 2024: 17096-17104 - [c60]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: 13619-13639 - [c59]Yapeng Li, Yong Luo, Zengmao Wang, Bo Du:
Improving Generalized Zero-Shot Learning by Exploring the Diverse Semantics from External Class Names. CVPR 2024: 23344-23353 - [c58]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 - [c57]Qiancheng Yang, Yong Luo, Bo Du:
Training-Free Robust Neural Network Search Via Pruning. ICME 2024: 1-6 - [c56]Anke Tang, Li Shen, Yong Luo, Nan Yin, Lefei Zhang, Dacheng Tao:
Merging Multi-Task Models via Weight-Ensembling Mixture of Experts. ICML 2024 - [c55]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. ICML 2024 - [c54]Muqi Huang, Chaoyue Wang, Yong Luo, Lefei Zhang:
Eliminating the Cross-Domain Misalignment in Text-guided Image Inpainting. IJCAI 2024: 875-883 - [c53]Kun Li, Weiwei Liu, Yong Luo, Xiantao Cai, Jia Wu, Wenbin Hu:
Zero-shot Learning for Preclinical Drug Screening. IJCAI 2024: 2117-2125 - [c52]Shuai Wang, Yibing Zhan, Yong Luo, Han Hu, Wei Yu, Yonggang Wen, Dacheng Tao:
Joint Input and Output Coordination for Class-Incremental Learning. IJCAI 2024: 5108-5116 - [c51]Zhiwei Hao
PrimKD: Primary Modality Guided Multimodal Fusion for RGB-D Semantic Segmentation. ACM Multimedia 2024: 1943-1951 - [c50]Wenbin Wang
WisdoM: Improving Multimodal Sentiment Analysis by Fusing Contextual World Knowledge. ACM Multimedia 2024: 2282-2291 - [c49]Ting Zhe
Multi-Granularity Hand Action Detection. ACM Multimedia 2024: 5604-5613 - [i55]Shuai Wang, Liang Ding, Li Shen, Yong Luo, Bo Du, Dacheng Tao:
OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models. CoRR abs/2401.06628 (2024) - [i54]Wenbin Wang, Liang Ding, Li Shen, Yong Luo, Han Hu, Dacheng Tao:
WisdoM: Improving Multimodal Sentiment Analysis by Fusing Contextual World Knowledge. CoRR abs/2401.06659 (2024) - [i53]Anke Tang, Li Shen, Yong Luo, Nan Yin, Lefei Zhang, Dacheng Tao:
Merging Multi-Task Models via Weight-Ensembling Mixture of Experts. CoRR abs/2402.00433 (2024) - [i52]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 abs/2402.08552 (2024) - [i51]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 abs/2404.15598 (2024) - [i50]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 abs/2405.07226 (2024) - [i49]Anke Tang, Li Shen, Yong Luo, Han Hu, Bo Du, Dacheng Tao:
FusionBench: A Comprehensive Benchmark of Deep Model Fusion. CoRR abs/2406.03280 (2024) - [i48]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 abs/2406.09770 (2024) - [i47]Xingrun Yan, Shiyuan Zuo, Rongfei Fan, Han Hu, Li Shen, Puning Zhao, Yong Luo:
Sequential Federated Learning in Hierarchical Architecture on Non-IID Datasets. CoRR abs/2408.09762 (2024) - [i46]Anke Tang, Li Shen, Yong Luo, Shuai Xie, Han Hu, Lefei Zhang, Bo Du, Dacheng Tao:
SMILE: Zero-Shot Sparse Mixture of Low-Rank Experts Construction From Pre-Trained Foundation Models. CoRR abs/2408.10174 (2024) - [i45]Wenbin Wang, Liang Ding, Minyan Zeng, Xiabin Zhou, Li Shen, Yong Luo, Dacheng Tao:
Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models. CoRR abs/2408.15556 (2024) - [i44]Shuai Wang, Yibing Zhan, Yong Luo, Han Hu, Wei Yu, Yonggang Wen, Dacheng Tao:
Joint Input and Output Coordination for Class-Incremental Learning. CoRR abs/2409.05620 (2024) - [i43]Shuai Wang, Liang Ding, Li Shen, Yong Luo, Zheng He, Wei Yu, Dacheng Tao:
USCD: Improving Code Generation of LLMs by Uncertainty-Aware Selective Contrastive Decoding. CoRR abs/2409.05923 (2024) - [i42]Yang Qian, Xinbiao Wang, Yuxuan Du, Yong Luo, Dacheng Tao:
MG-Net: Learn to Customize QAOA with Circuit Depth Awareness. CoRR abs/2409.18692 (2024) - 2023
- [j28]Mengya Han
Region-adaptive Concept Aggregation for Few-shot Visual Recognition. Mach. Intell. Res. 20(4): 554-568 (2023) - [j27]Liping Xie
Graph Regularized Structured Output SVM for Early Expression Detection With Online Extension. IEEE Trans. Cybern. 53(3): 1419-1431 (2023) - [j26]Lanting Fang
A Knowledge-Enriched Ensemble Method for Word Embedding and Multi-Sense Embedding. IEEE Trans. Knowl. Data Eng. 35(6): 5534-5549 (2023) - [j25]Zhiwei Hao
Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Learning. IEEE Trans. Mob. Comput. 22(10): 6041-6055 (2023) - [j24]Xingyu Yang, Mengya Han, Yong Luo
Two-Stream Prototype Learning Network for Few-Shot Face Recognition Under Occlusions. IEEE Trans. Multim. 25: 1555-1563 (2023) - [j23]Dongjing Shan
DRRNets: Dynamic Recurrent Routing via Low-Rank Regularization in Recurrent Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 34(4): 2057-2067 (2023) - [c48]Dui Wang, Li Shen, Yong Luo, Han Hu, Kehua Su, Yonggang Wen, Dacheng Tao:
FedABC: Targeting Fair Competition in Personalized Federated Learning. AAAI 2023: 10095-10103 - [c47]Chang Liu, Yong Luo, Yongchao Xu, Bo Du:
FedARC: Federated Learning for Multi-Center Tuberculosis Chest X-ray Diagnosis with Adaptive Regularizing Contrastive Representation. BIBM 2023: 2125-2128 - [c46]Xinbiao Wang, Junyu Liu, Tongliang Liu, Yong Luo, Yuxuan Du, Dacheng Tao:
Symmetric Pruning in Quantum Neural Networks. ICLR 2023 - [c45]Yapeng Li
Audio-Visual Generalized Zero-Shot Learning Based on Variational Information Bottleneck. ICME 2023: 450-455 - [c44]Anke Tang
Improving Heterogeneous Model Reuse by Density Estimation. IJCAI 2023: 4244-4252 - [c43]Rui Xu
Rethinking the Localization in Weakly Supervised Object Localization. ACM Multimedia 2023: 5484-5494 - [c42]Guanyu Xu
LGViT: Dynamic Early Exiting for Accelerating Vision Transformer. ACM Multimedia 2023: 9103-9114 - [c41]Xuming An, Li Shen, Han Hu, Yong Luo:
Federated Learning with Manifold Regularization and Normalized Update Reaggregation. NeurIPS 2023 - [c40]Xiaowen Wei
CLNode: Curriculum Learning for Node Classification. WSDM 2023: 670-678 - [i41]Huaizheng Zhang
MIGPerf: A Comprehensive Benchmark for Deep Learning Training and Inference Workloads on Multi-Instance GPUs. CoRR abs/2301.00407 (2023) - [i40]Dui Wang, Li Shen, Yong Luo, Han Hu, Kehua Su, Yonggang Wen, Dacheng Tao:
FedABC: Targeting Fair Competition in Personalized Federated Learning. CoRR abs/2302.07450 (2023) - [i39]Rui Xu, Zhi Liu, Yong Luo, Han Hu, Li Shen, Bo Du, Kaiming Kuang, Jiancheng Yang:
SGDA: Towards 3D Universal Pulmonary Nodule Detection via Slice Grouped Domain Attention. CoRR abs/2303.03625 (2023) - [i38]Rui Xu, Yong Luo, Bo Du:
Unsupervised Cross-domain Pulmonary Nodule Detection without Source Data. CoRR abs/2304.01085 (2023) - [i37]Anke Tang
Improving Heterogeneous Model Reuse by Density Estimation. CoRR abs/2305.13871 (2023) - [i36]Xinbiao Wang, Yuxuan Du, Zhuozhuo Tu, Yong Luo, Xiao Yuan, Dacheng Tao:
Transition role of entangled data in quantum machine learning. CoRR abs/2306.03481 (2023) - [i35]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 abs/2306.10858 (2023) - [i34]Guanyu Xu, Jiawei Hao, Li Shen, Han Hu, Yong Luo, Hui Lin, Jialie Shen:
LGViT: Dynamic Early Exiting for Accelerating Vision Transformer. CoRR abs/2308.00255 (2023) - [i33]Rui Xu, Yong Luo, Han Hu, Bo Du, Jialie Shen, Yonggang Wen:
Rethinking the Localization in Weakly Supervised Object Localization. CoRR abs/2308.06161 (2023) - [i32]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 abs/2308.12757 (2023) - [i31]Guanyu Xu, Zhiwei Hao, Yong Luo, Han Hu, Jianping An, Shiwen Mao:
DeViT: Decomposing Vision Transformers for Collaborative Inference in Edge Devices. CoRR abs/2309.05015 (2023) - [i30]Xingyu Yang, Daqing Liu, Heng Zhang, Yong Luo, Chaoyue Wang, Jing Zhang:
Decompose Semantic Shifts for Composed Image Retrieval. CoRR abs/2309.09531 (2023) - [i29]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 abs/2310.04742 (2023) - [i28]Hongling Zheng, Li Shen, Anke Tang, Yong Luo, Han Hu, Bo Du, Dacheng Tao:
Learn From Model Beyond Fine-Tuning: A Survey. CoRR abs/2310.08184 (2023) - [i27]Kun Li, Yong Luo, Xiantao Cai, Wenbin Hu, Bo Du:
Zero-shot Learning of Drug Response Prediction for Preclinical Drug Screening. CoRR abs/2310.12996 (2023) - [i26]Xuming An, Li Shen, Han Hu, Yong Luo:
Federated Learning with Manifold Regularization and Normalized Update Reaggregation. CoRR abs/2311.05924 (2023) - [i25]Anke Tang, Li Shen, Yong Luo, Liang Ding, Han Hu, Bo Du, Dacheng Tao:
Concrete Subspace Learning based Interference Elimination for Multi-task Model Fusion. CoRR abs/2312.06173 (2023) - 2022
- [j22]Lin Zhang
Intrinsic Performance Influence-based Participant Contribution Estimation for Horizontal Federated Learning. ACM Trans. Intell. Syst. Technol. 13(6): 88:1-88:24 (2022) - [j21]Zhiwei Hao
CDFKD-MFS: Collaborative Data-Free Knowledge Distillation via Multi-Level Feature Sharing. IEEE Trans. Multim. 24: 4262-4274 (2022) - [c39]Chao Chen, Yibing Zhan, Baosheng Yu, Liu Liu, Yong Luo, Bo Du:
Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation. AAAI 2022: 212-220 - [c38]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: 260-271 - [c37]Rui Xu, Yong Luo, Bo Du, Kaiming Kuang, Jiancheng Yang
LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection. MICCAI (1) 2022: 664-674 - [c36]Mengya Han, Heliang Zheng, Chaoyue Wang, Yong Luo, Han Hu, Bo Du:
Leveraging GAN Priors for Few-Shot Part Segmentation. ACM Multimedia 2022: 1339-1347 - [c35]Mengya Han, Yibing Zhan, Baosheng Yu, Yong Luo, Bo Du, Dacheng Tao:
Knowledge Graph enhanced Multimodal Learning for Few-shot Visual Recognition. MMSP 2022: 1-6 - [c34]Yong Luo, Ling-Yu Duan, Yan Bai, Tongliang Liu
Nonlinear Multi-Model Reuse. MMSP 2022: 1-6 - [c33]Qiancheng Yang, Yong Luo, Han Hu, Xin Zhou, Bo Du, Dacheng Tao:
Robust Metric Boosts Transfer. MMSP 2022: 1-6 - [i24]Chao Chen, Yibing Zhan, Baosheng Yu, Liu Liu, Yong Luo, Bo Du:
Resistance Training using Prior Bias: toward Unbiased Scene Graph Generation. CoRR abs/2201.06794 (2022) - [i23]Yibing Zhan, Zhi Chen, Jun Yu, Baosheng Yu, Dacheng Tao, Yong Luo:
Hyper-relationship Learning Network for Scene Graph Generation. CoRR abs/2202.07271 (2022) - [i22]Zhiwei Hao, Yong Luo, Zhi Wang, Han Hu, Jianping An:
CDFKD-MFS: Collaborative Data-free Knowledge Distillation via Multi-level Feature Sharing. CoRR abs/2205.11845 (2022) - [i21]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 abs/2205.11854 (2022) - [i20]Mengya Han, Heliang Zheng, Chaoyue Wang, Yong Luo, Han Hu, Bo Du:
Leveraging GAN Priors for Few-Shot Part Segmentation. CoRR abs/2207.13428 (2022) - [i19]Rui Xu, Yong Luo, Bo Du, Kaiming Kuang, Jiancheng Yang:
LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection. CoRR abs/2208.02122 (2022) - [i18]Xinbiao Wang, Junyu Liu, Tongliang Liu
Symmetric Pruning in Quantum Neural Networks. CoRR abs/2208.14057 (2022) - [i17]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 abs/2209.03034 (2022) - 2021
- [j20]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): 56-63 (2021) - [j19]Xinbiao Wang
Towards understanding the power of quantum kernels in the NISQ era. Quantum 5: 531 (2021) - [j18]Weijiang Feng
Near-Online Multi-Pedestrian Tracking via Combining Multiple Consistent Appearance Cues. IEEE Trans. Circuits Syst. Video Technol. 31(4): 1540-1554 (2021) - [c32]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: 4400-4408 - [c31]Zhiwei Hao, Yong Luo, Zhi Wang, Han Hu, Jianping An:
Model Compression via Collaborative Data-Free Knowledge Distillation for Edge Intelligence. ICME 2021: 1-6 - [c30]Zhiwei Hao, Yong Luo, Han Hu, Jianping An, Yonggang Wen:
Data-Free Ensemble Knowledge Distillation for Privacy-conscious Multimedia Model Compression. ACM Multimedia 2021: 1803-1811 - [i16]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 abs/2102.03012 (2021) - [i15]Xinbiao Wang, Yuxuan Du, Yong Luo, Dacheng Tao:
Towards understanding the power of quantum kernels in the NISQ era. CoRR abs/2103.16774 (2021) - [i14]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 abs/2105.08275 (2021) - 2020
- [j17]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): 78-88 (2020) - [j16]Yong Luo
Transforming Device Fingerprinting for Wireless Security via Online Multitask Metric Learning. IEEE Internet Things J. 7(1): 208-219 (2020) - [j15]Yihang Lou, Ling-Yu Duan
Towards Efficient Front-End Visual Sensing for Digital Retina: A Model-Centric Paradigm. IEEE Trans. Multim. 22(11): 3002-3013 (2020) - [j14]Lu Liu, Han Hu, Yong Luo, Yonggang Wen:
When Wireless Video Streaming Meets AI: A Deep Learning Approach. IEEE Wirel. Commun. 27(2): 127-133 (2020) - [c29]Huaizheng Zhang
Look, Read and Feel: Benchmarking Ads Understanding with Multimodal Multitask Learning. ACM Multimedia 2020: 430-438 - [c28]Shikang Gan, Yong Luo, Yonggang Wen, Tongliang Liu
Deep Heterogeneous Multi-Task Metric Learning for Visual Recognition and Retrieval. ACM Multimedia 2020: 1837-1845 - [c27]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: 3377-3385 - [c26]Huaizheng Zhang
Hysia: Serving DNN-Based Video-to-Retail Applications in Cloud. ACM Multimedia 2020: 4457-4460 - [i13]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 abs/2006.05117 (2020)
2010 – 2019
- 2019
- [j13]Yong Luo
Transferring Knowledge Fragments for Learning Distance Metric from a Heterogeneous Domain. IEEE Trans. Pattern Anal. Mach. Intell. 41(4): 1013-1026 (2019) - [c25]Yong Luo, Huaizheng Zhang
ResumeGAN: An Optimized Deep Representation Learning Framework for Talent-Job Fit via Adversarial Learning. CIKM 2019: 1101-1110 - [c24]Yihang Lou, Ling-Yu Duan, Yong Luo, Ziqian Chen, Tongliang Liu
Towards Digital Retina in Smart Cities: A Model Generation, Utilization and Communication Paradigm. ICME 2019: 19-24 - [c23]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: 127-132 - [c22]Weizheng Hu, Yong Luo, Zongqing Lu, Yonggang Wen:
Heterogeneous Transfer Learning for Thermal Comfort Modeling. BuildSys@SenSys 2019: 61-70 - [c21]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: 1-4 - [c20]Lanting Fang
Knowledge-Enhanced Ensemble Learning for Word Embeddings. WWW 2019: 427-437 - [i12]Meng Liu, Chang Xu, Yong Luo, Chao Xu, Yonggang Wen, Dacheng Tao:
Cost-Sensitive Feature Selection by Optimizing F-Measures. CoRR abs/1904.02301 (2019) - [i11]Yong Luo, Tongliang Liu, Dacheng Tao, Chao Xu:
Decomposition-Based Transfer Distance Metric Learning for Image Classification. CoRR abs/1904.03846 (2019) - [i10]Yong Luo, Tongliang Liu, Dacheng Tao, Chao Xu:
Multi-View Matrix Completion for Multi-Label Image Classification. CoRR abs/1904.03901 (2019) - [i9]Yong Luo, Dacheng Tao, Chang Xu, Chao Xu, Hong Liu, Yonggang Wen:
Multi-view Vector-valued Manifold Regularization for Multi-label Image Classification. CoRR abs/1904.03921 (2019) - [i8]Yong Luo, Yonggang Wen, Tongliang Liu, Dacheng Tao:
Transferring Knowledge Fragments for Learning Distance Metric from A Heterogeneous Domain. CoRR abs/1904.04061 (2019) - [i7]Yong Luo, Yonggang Wen, Dacheng Tao:
Heterogeneous Multi-task Metric Learning across Multiple Domains. CoRR abs/1904.04081 (2019) - [i6]Yong Luo, Yonggang Wen, Dacheng Tao, Jie Gui, Chao Xu:
Large Margin Multi-modal Multi-task Feature Extraction for Image Classification. CoRR abs/1904.04088 (2019) - [i5]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 abs/1907.13368 (2019) - [i4]Huaizheng Zhang, Yong Luo, Qiming Ai, Nana Hou, Yonggang Wen:
Look, Read and Feel: Benchmarking Ads Understanding with Multimodal Multitask Learning. CoRR abs/1912.10248 (2019) - 2018
- [j12]Han Hu
How to Find a Perfect Data Scientist: A Distance-Metric Learning Approach. IEEE Access 6: 60380-60395 (2018) - [j11]Meng Liu
Cost-Sensitive Feature Selection by Optimizing F-Measures. IEEE Trans. Image Process. 27(3): 1323-1335 (2018) - [j10]Qiang Fu
Toward Intelligent Product Retrieval for TV-to-Online (T2O) Application: A Transfer Metric Learning Approach. IEEE Trans. Multim. 20(8): 2114-2125 (2018) - [j9]Feng Gao, Xinfeng Zhang
Data-Driven Lightweight Interest Point Selection for Large-Scale Visual Search. IEEE Trans. Multim. 20(10): 2774-2787 (2018) - [j8]Yong Luo
Heterogeneous Multitask Metric Learning Across Multiple Domains. IEEE Trans. Neural Networks Learn. Syst. 29(9): 4051-4064 (2018) - [c19]Yong Luo, Huaizheng Zhang
ResumeNet: A Learning-Based Framework for Automatic Resume Quality Assessment. ICDM 2018: 307-316 - [c18]Yong Luo, Tongliang Liu
Online Heterogeneous Transfer Metric Learning. IJCAI 2018: 2525-2531 - [c17]Xiaobo Shen, Weiwei Liu, Yong Luo, Yew-Soon Ong, Ivor W. Tsang
Deep Discrete Prototype Multilabel Learning. IJCAI 2018: 2675-2681 - [i3]Yong Luo, Huaizheng Zhang, Yongjie Wang, Yonggang Wen, Xinwen Zhang:
ResumeNet: A Learning-based Framework for Automatic Resume Quality Assessment. CoRR abs/1810.02832 (2018) - [i2]Yong Luo, Yonggang Wen, Ling-Yu Duan, Dacheng Tao:
Transfer Metric Learning: Algorithms, Applications and Outlooks. CoRR abs/1810.03944 (2018) - 2017
- [c16]Meng Liu, Chang Xu, Yong Luo, Chao Xu, Yonggang Wen, Dacheng Tao:
Cost-Sensitive Feature Selection via F-Measure Optimization Reduction. AAAI 2017: 2252-2258 - [c15]Yong Luo, Dacheng Tao, Yonggang Wen:
Exploiting High-Order Information in Heterogeneous Multi-Task Feature Learning. IJCAI 2017: 2443-2449 - [c14]Yong Luo, Yonggang Wen, Tongliang Liu
General Heterogeneous Transfer Distance Metric Learning via Knowledge Fragments Transfer. IJCAI 2017: 2450-2456 - 2016
- [j7]Yong Luo
Large Margin Multi-Modal Multi-Task Feature Extraction for Image Classification. IEEE Trans. Image Process. 25(1): 414-427 (2016) - [c13]Yong Luo
Toward Effortless TV-to-Online (T2O) Experience: A Novel Metric Learning Approach. GLOBECOM 2016: 1-7 - [c12]Yong Luo, Dacheng Tao, Kotagiri Ramamohanarao, Chao Xu, Yonggang Wen
Tensor canonical correlation analysis for multi-view dimension reduction. ICDE 2016: 1460-1461 - [c11]Yong Luo, Yonggang Wen, Dacheng Tao:
On Combining Side Information and Unlabeled Data for Heterogeneous Multi-Task Metric Learning. IJCAI 2016: 1809-1815 - 2015
- [j6]Yong Luo, Tongliang Liu
Multiview Matrix Completion for Multilabel Image Classification. IEEE Trans. Image Process. 24(8): 2355-2368 (2015) - [j5]Yong Luo, Dacheng Tao, Kotagiri Ramamohanarao
Tensor Canonical Correlation Analysis for Multi-View Dimension Reduction. IEEE Trans. Knowl. Data Eng. 27(11): 3111-3124 (2015) - [c10]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: 2778-2784 - [c9]Haibo Shi, Yong Luo, Chao Xu, Yonggang Wen:
Manifold Regularized Transfer Distance Metric Learning. BMVC 2015: 158.1-158.11 - [i1]Yong Luo, Dacheng Tao, Yonggang Wen, Kotagiri Ramamohanarao, Chao Xu:
Tensor Canonical Correlation Analysis for Multi-view Dimension Reduction. CoRR abs/1502.02330 (2015) - 2014
- [j4]Jie Gui, Dacheng Tao, Zhenan Sun, Yong Luo, Xinge You, Yuan Yan Tang:
Group Sparse Multiview Patch Alignment Framework With View Consistency for Image Classification. IEEE Trans. Image Process. 23(7): 3126-3137 (2014) - [j3]Yong Luo, Tongliang Liu
Decomposition-Based Transfer Distance Metric Learning for Image Classification. IEEE Trans. Image Process. 23(9): 3789-3801 (2014) - [c8]Yong Luo, Jian Tang, Jun Yan, Chao Xu, Zheng Chen:
Pre-Trained Multi-View Word Embedding Using Two-Side Neural Network. AAAI 2014: 1982-1988 - [c7]Zhiqiang Zuo, Yong Luo, Dacheng Tao, Chao Xu:
Multi-view Multi-task Feature Extraction for Web Image Classification. ACM Multimedia 2014: 1137-1140 - [c6]Yangxi Li, Xin Shi, Lingling Tong, Yong Luo, Jinhui Tu, Xiaobo Zhu:
Manifold Regularized Multi-view Feature Selection for Web Image Annotation. PCM 2014: 103-112 - 2013
- [j2]Yong Luo, Dacheng Tao, Bo Geng, Chao Xu, Stephen J. Maybank:
Manifold Regularized Multitask Learning for Semi-Supervised Multilabel Image Classification. IEEE Trans. Image Process. 22(2): 523-536 (2013) - [j1]Yong Luo, Dacheng Tao, Chang Xu
Multiview Vector-Valued Manifold Regularization for Multilabel Image Classification. IEEE Trans. Neural Networks Learn. Syst. 24(5): 709-722 (2013) - [c5]Yong Luo, Dacheng Tao, Chang Xu, Dongchen Li, Chao Xu:
Vector-Valued Multi-View Semi-Supervsed Learning for Multi-Label Image Classification. AAAI 2013: 647-653 - [c4]Yong Luo, Yangxi Li, Jinhui Tu, Chao Xu:
FIM: A Real-Time Content Based Sample Image Matching System. ICIG 2013: 551-555 - 2011
- [c3]Yong Luo, Yangxi Li, Chao Zhou, Chao Xu:
Combining feature selectors in a product advertisement classification system. ACPR 2011: 184-188 - [c2]Yong Luo, Dacheng Tao, Bo Geng, Chao Xu, Stephen J. Maybank:
Shared feature extraction for semi-supervised image classification. ACM Multimedia 2011: 1165-1168 - [c1]Yangxi Li, Yong Luo, Dacheng Tao, Chao Xu:
Query Difficulty Guided Image Retrieval System. MMM (2) 2011: 479-482
Coauthor Index
[j32] [j31] [j30] [c58] [c52] [c51] [c50] [c49] [i54] [i51] [i49] [i48] [i47] [i46] [i44] [j28] [j25] [j24] [c48] [c44] [c43] [c42] [c41] [i40] [i39] [i37] [i35] [i34] [i33] [i32] [i31] [i29] [i28] [i26] [i25] [j21] [c36] [c33] [i22] [i21] [i20] [i17] [c31] [c30] [j17] [j16] [j14] [c29] [c28] [c27] [j12]
[j30] [c60] [c58] [c56] [c55] [c52] [c50] [c49] [i55] [i54] [i53] [i52] [i51] [i50] [i49] [i46] [i45] [i44] [i43] [i42] [j28] [c48] [c46] [c44] [i40] [i37] [i36] [i35] [i29] [i28] [i25] [c35] [c33] [i23] [i18] [i17] [j19] [i15] [j17] [j16] [j13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [j11] [j10] [j8] [c18] [i2] [c16] [c15] [c14] [j7] [c13] [c12] [c11] [j6] [j5] [c10] [i1] [j4] [j3] [c7] [j2] [j1] [c5] [c2] [c1]
[j30] [c55] [c52] [i52] [i51] [i44] [j28] [j24] [c48] [c43] [i40] [i35] [i33] [i32] [c38] [c34] [i17] [j20] [c30] [i16] [i14] [j17] [j16] [j14] [c29] [c28] [c27] [c26] [i13] [j13] [c25] [c23] [c22] [c21] [i12] [i9] [i8] [i7] [i6] [i4] [j12] [j11] [j10] [j8] [c19] [c18] [i3] [i2] [c16] [c15] [c14] [j7] [c13] [c12] [c11] [j5] [c10] [c9] [i1] [j1]
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