Yong Luo

234 papers A* 54A 9B 1C 4Misc 2Journal 144Unranked 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
ACE-Brain-0: Spatial Intelligence as a Shared Scaffold for Universal Embodiments.
CoRR
Ziyang Gong, Zehang Luo, Anke Tang, Zhe Liu, Shi Fu, Zhi Hou, Ganlin Yang, Weiyun Wang, Xiaofeng Wang, Jianbo Liu, Gen Luo, Haolan Kang, Shuang Luo, Yue Zhou, Yong Luo, Li Shen, Xiaosong Jia, Yao Mu, Xue Yang, Chunxiao Liu, Junchi Yan, Hengshuang Zhao, Dacheng Tao, Xiaogang Wang
2026 J jnl
Adaptive Batch Size Time Evolving Stochastic Gradient Descent for Federated Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Xuming An, Li Shen, Yong Luo, Han Hu, Dacheng Tao
2026 J jnl
CtrlAttack: A Unified Attack on World-Model Control in Diffusion Models.
CoRR
Shuhan Xu, Siyuan Liang, Hongling Zheng, Yong Luo, Han Hu, Lefei Zhang, Dacheng Tao
2026 J jnl
DSA-SRGS: Super-Resolution Gaussian Splatting for Dynamic Sparse-View DSA Reconstruction.
CoRR
Shiyu Zhang, Zhicong Wu, Huangxuan Zhao, Zhentao Liu, Lei Chen, Yong Luo, Lefei Zhang, Zhiming Cui, Ziwen Ke, Bo Du
2026 J jnl
EEformer: Early Exiting for Transformer With Global-Local Exits and Progressive Fine-Tuning.
IEEE Trans. Multim.
Guanyu Xu, Jiawei Hao, Yong Luo, Li Shen, Han Hu, Dan Zeng
2026 J jnl
Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging.
IEEE Trans. Pattern Anal. Mach. Intell.
Li Shen, Anke Tang, Enneng Yang, Guibing Guo, Yong Luo, Lefei Zhang, Xiaochun Cao, Bo Du, Dacheng Tao
2026 J jnl
LightMoE: Reducing Mixture-of-Experts Redundancy through Expert Replacing.
CoRR
Jiawei Hao, Zhiwei Hao, Jianyuan Guo, Li Shen, Yong Luo, Han Hu, Dan Zeng
2026 J jnl
OACI: Object-aware contextual integration for image captioning.
Knowl. Based Syst.
Shuhan Xu, Mengya Han, Wei Yu, Zheng He, Xin Zhou, Yong Luo
2026 A* conf
Physics-Informed Multi-Task Learning for Battery State of Health Prediction with Uncertainty Quantification.
AAAI
Tianwen Zhu, Guangyu Wu, Zhiwei Cao, Ruihang Wang, Jimin Jia, Yong Luo, Yonggang Wen
2026 A* conf
Rethinking Visual Token Reduction in LVLMs Under Cross-Modal Misalignment.
AAAI
Rui Xu, Yunke Wang, Yong Luo, Bo Du
2026 A* conf
SRD: Reinforcement-Learned Semantic Perturbation for Backdoor Defense in VLMs.
AAAI
Shuhan Xu, Siyuan Liang, Hongling Zheng, Aishan Liu, Xinbiao Wang, Yong Luo, Fu Lin, Leszek Rutkowski, Dacheng Tao
2026 J jnl
SigGen: Signal Generation for Wireless Sensing Based on Disentangled Representation.
IEEE Trans. Wirel. Commun.
Hanxiang He, Xintao Huan, Yong Luo, Rongfei Fan, Jie Xu, Han Hu
2026 J jnl
Streaming-dLLM: Accelerating Diffusion LLMs via Suffix Pruning and Dynamic Decoding.
CoRR
Zhongyu Xiao, Zhiwei Hao, Jianyuan Guo, Yong Luo, Jia Liu, Jie Xu, Han Hu
2026 J jnl
Towards to real world vehicle privacy protection: A new dataset and benchmark.
Pattern Recognit.
Jiayi Lin, Chengming Zou, Long Lan, Yong Luo, Yue Yu, Yaowei Wang, Wei Zeng, Yonghong Tian
2026 J jnl
UniX: Unifying Autoregression and Diffusion for Chest X-Ray Understanding and Generation.
CoRR
Ruiheng Zhang, Jingfeng Yao, Huangxuan Zhao, Hao Yan, Xiao He, Lei Chen, Zhou Wei, Yong Luo, Zengmao Wang, Lefei Zhang, Dacheng Tao, Bo Du
2026 J jnl
Zero-Shot Sparse Mixture of Low-Rank Experts Construction From Pre-Trained Foundation Models.
IEEE Trans. Pattern Anal. Mach. Intell.
Anke Tang, Li Shen, Yong Luo, Shuai Xie, Han Hu, Lefei Zhang, Bo Du, Dacheng Tao
2025 A* conf
A Dual Stream Visual Tokenizer for LLM Image Generation.
IJCAI
Yongqian Li, Yong Luo, Xiantao Cai, Zheng He, Zhennan Meng, Nidong Wang, Yunlin Chen, Zhifei Li
2025 J jnl
A Multi-Language Object-Oriented Programming Benchmark for Large Language Models.
CoRR
Shuai Wang, Liang Ding, Li Shen, Yong Luo, Han Hu, Lefei Zhang, Fu Lin
2025 J jnl
ADEM-VL: Adaptive and Embedded Fusion for Efficient Vision-Language Tuning.
Int. J. Comput. Vis.
Zhiwei Hao, Jianyuan Guo, Li Shen, Yong Luo, Han Hu, Yonggang Wen
2025 J jnl
Aligning Text-to-Image Diffusion Models With Constrained Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Ziyi Zhang, Sen Zhang, Li Shen, Yibing Zhan, Yong Luo, Han Hu, Bo Du, Yonggang Wen, Dacheng Tao
2025 — conf
Anatomy-Conserving Unpaired CBCT-to-CT Translation via Schrödinger Bridge.
MICCAI (4)
Ke Shi, Song Ouyang, Gang Liu, Yong Luo, Kehua Su, Zhiwen Liang, Bo Du
2025 J jnl
AnesBench: Multi-Dimensional Evaluation of LLM Reasoning in Anesthesiology.
CoRR
Xiang Feng, Wentao Jiang, Zengmao Wang, Yong Luo, Pingbo Xu, Baosheng Yu, Hua Jin, Bo Du, Jing Zhang
2025 — conf
CLEST-IQA: Contrastive Learning-Enhanced Swin Transformer for Image Quality Assessment.
ICIG (3)
Jiacheng Zhang, Yongqian Li, Dixiao Tao, Yong Luo, Xin Zhou, Dehua Cao, Cheng Li, Yi Zhang
2025 J jnl
CoFormer: Collaborating With Heterogeneous Edge Devices for Scalable Transformer Inference.
IEEE Trans. Computers
Guanyu Xu, Zhiwei Hao, Li Shen, Yong Luo, Fuhui Sun, Xiaoyan Wang, Han Hu, Yonggang Wen
2025 J jnl
CoFormer: Collaborating with Heterogeneous Edge Devices for Scalable Transformer Inference.
CoRR
Guanyu Xu, Zhiwei Hao, Li Shen, Yong Luo, Fuhui Sun, Xiaoyan Wang, Han Hu, Yonggang Wen
2025 J jnl
DM-PCL: Text-Driven Dual-Modal Prototype Consistency Learning for Weakly-Supervised Few-Shot Part Segmentation.
Int. J. Comput. Vis.
Mengya Han, Yong Luo, Han Hu, Zengmao Wang, Lefei Zhang, Bo Du, Ling-Yu Duan, Dacheng Tao
2025 J jnl
Data-Adaptive Weight-Ensembling for Multi-task Model Fusion.
Int. J. Comput. Vis.
Anke Tang, Li Shen, Yong Luo, Shiwei Liu, Han Hu, Bo Du, Dacheng Tao
2025 A* conf
Decision Mixer: Integrating Long-term and Local Dependencies via Dynamic Token Selection for Decision-Making.
ICML
Hongling Zheng, Li Shen, Yong Luo, Deheng Ye, Bo Du, Jialie Shen, Dacheng Tao
2025 J jnl
Demonstration of Efficient Predictive Surrogates for Large-scale Quantum Processors.
CoRR
Wei-You Liao, Yuxuan Du, Xinbiao Wang, Tian-Ci Tian, Yong Luo, Bo Du, Dacheng Tao, He-Liang Huang
2025 A* conf
Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models.
AAAI
Wenbin Wang, Liang Ding, Minyan Zeng, Xiabin Zhou, Li Shen, Yong Luo, Wei Yu, Dacheng Tao
2025 J jnl
DoseNet: Dose-adaptive prediction of the parotid glands deformation for radiotherapy planning.
Image Vis. Comput.
Bohan Yang, Yong Luo, Bo Du, Dongjing Shan, Chuan Cheng, Gang Liu, Jun Zhang, Jingnan Liu
2025 J jnl
Dual-Splitting Conformal Prediction for Multi-Step Time Series Forecasting.
CoRR
Qingdi Yu, Zhiwei Cao, Ruihang Wang, Zhen Yang, Lijun Deng, Min Hu, Yong Luo, Xin Zhou
2025 J jnl
Dual-splitting conformal prediction for multi-step time series forecasting.
Appl. Soft Comput.
Qingdi Yu, Zhiwei Cao, Ruihang Wang, Zhen Yang, Lijun Deng, Min Hu, Yong Luo, Xin Zhou
2025 — conf
ELBA-Bench: An Efficient Learning Backdoor Attacks Benchmark for Large Language Models.
ACL (1)
Xuxu Liu, Siyuan Liang, Mengya Han, Yong Luo, Aishan Liu, Xiantao Cai, Zheng He, Dacheng Tao
2025 J jnl
ELBA-Bench: An Efficient Learning Backdoor Attacks Benchmark for Large Language Models.
CoRR
Xuxu Liu, Siyuan Liang, Mengya Han, Yong Luo, Aishan Liu, Xiantao Cai, Zheng He, Dacheng Tao
2025 Misc conf
EgoNet: An Unified Egocentric Active Speaker Detection Framework for both Camera Wearer and Visible Candidates.
ICASSP
Yongqian Li, Xin Zhou, Zheng He, Wei Yu, Yong Luo
2025 A conf
Enhancing Multimodal Chain-of-Thought Reasoning with Tree-Searched Self-Training.
ICME
Yiwen Luo, Tao Wei, Yong Luo, Zengmao Wang
2025 A* conf
FIRING-Net: A filtered feature recycling network for speech enhancement.
ICLR
Xinmeng Xu, Yiqun Zhang, Jizhen Li, Yuhong Yang, Yong Luo, Weiping Tu
2025 J jnl
Federated Learning With Only Positive Labels by Exploring Label Correlations.
IEEE Trans. Neural Networks Learn. Syst.
Xuming An, Dui Wang, Li Shen, Yong Luo, Han Hu, Bo Du, Yonggang Wen, Dacheng Tao
2025 J jnl
FusionBench: A Unified Library and Comprehensive Benchmark for Deep Model Fusion.
J. Mach. Learn. Res.
Anke Tang, Li Shen, Yong Luo, Enneng Yang, Han Hu, Lefei Zhang, Bo Du, Dacheng Tao
2025 J jnl
Fuzzy-Assisted Contrastive Decoding Improving Code Generation of Large Language Models.
IEEE Trans. Fuzzy Syst.
Shuai Wang, Liang Ding, Yibing Zhan, Yong Luo, Shuai Liu, Weiping Ding
2025 J jnl
Learning from models beyond fine-tuning.
Nat. Mac. Intell.
Hongling Zheng, Li Shen, Anke Tang, Yong Luo, Han Hu, Bo Du, Yonggang Wen, Dacheng Tao
2025 J jnl
Leveraging Metamemory Mechanisms for Enhanced Data-Free Code Generation in LLMs.
CoRR
Shuai Wang, Liang Ding, Yibing Zhan, Yong Luo, Zheng He, Dapeng Tao
2025 J jnl
Low-Precision Training of Large Language Models: Methods, Challenges, and Opportunities.
CoRR
Zhiwei Hao, Jianyuan Guo, Li Shen, Yong Luo, Han Hu, Guoxia Wang, Dianhai Yu, Yonggang Wen, Dacheng Tao
2025 J jnl
M3Site: multiclass multimodal learning for protein active site identification and classification.
Briefings Bioinform.
Song Ouyang, Yong Luo, Huiyu Cai, Kehua Su, Fei Liao, Na Zhan, Huangxuan Zhao, Tailang Yin, Lin Zhao, Dongjing Shan
2025 J jnl
MHR: A Multi-Modal Hyperbolic Representation Framework for Fake News Detection.
IEEE Trans. Knowl. Data Eng.
Shanshan Feng, Guoxin Yu, Dawei Liu, Han Hu, Yong Luo, Hui Lin, Yew-Soon Ong
2025 A* conf
MTGA: Multi-View Temporal Granularity Aligned Aggregation for Event-Based Lip-Reading.
AAAI
Wenhao Zhang, Jun Wang, Yong Luo, Lei Yu, Wei Yu, Zheng He, Jialie Shen
2025 J jnl
MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification.
CoRR
Yapeng Li, Yong Luo, Lefei Zhang, Zengmao Wang, Bo Du
2025 — conf
Masked Diffusion Models for Unsupervised Anomaly Detection in Brain Images.
BIBM
Rui Xu, Yunke Wang, Lihua Zhang, Yong Luo, Shu Yang, Yihui Wang, Bo Du, Hao Chen
2025 J jnl
Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging.
CoRR
Anke Tang, Enneng Yang, Li Shen, Yong Luo, Han Hu, Bo Du, Dacheng Tao
2025 J jnl
Neural Discrete Representation Learning for Sparse-View CBCT Reconstruction: From Algorithm Design to Prospective Multicenter Clinical Evaluation.
CoRR
Haoshen Wang, Lei Chen, Wei-Hua Zhang, Linxia Wu, Yong Luo, Zengmao Wang, Yuan Xiong, Chengcheng Zhu, Wenjuan Tang, Xueyi Zhang, Wei Zhou, Xuhua Duan, Lefei Zhang, Gao-Jun Teng, Bo Du, Huangxuan Zhao
2025 A* conf
Open-Vocabulary Fine-Grained Hand Action Detection.
IJCAI
Ting Zhe, Mengya Han, Xiaoshuai Hao, Yong Luo, Zheng He, Xiantao Cai, Jing Zhang
2025 J jnl
P
IEEE Trans. Mob. Comput.
Hanxiang He, Xintao Huan, Jing Wang, Yong Luo, Han Hu, Jianping An
2025 J jnl
PartSeg: Few-shot part segmentation via part-aware prompt learning.
Pattern Recognit.
Mengya Han, Heliang Zheng, Chaoyue Wang, Yong Luo, Han Hu, Jing Zhang, Bo Du
2025 J jnl
REX-RAG: Reasoning Exploration with Policy Correction in Retrieval-Augmented Generation.
CoRR
Wentao Jiang, Xiang Feng, Zengmao Wang, Yong Luo, Pingbo Xu, Zhe Chen, Bo Du, Jing Zhang
2025 J jnl
Refining Few-Step Text-to-Multiview Diffusion via Reinforcement Learning.
CoRR
Ziyi Zhang, Li Shen, Deheng Ye, Yong Luo, Huangxuan Zhao, Lefei Zhang
2025 J jnl
Rethinking Visual Token Reduction in LVLMs under Cross-modal Misalignment.
CoRR
Rui Xu, Yunke Wang, Yong Luo, Bo Du
2025 J jnl
Retrieval-Augmented Perception: High-Resolution Image Perception Meets Visual RAG.
CoRR
Wenbin Wang, Yongcheng Jing, Liang Ding, Yingjie Wang, Li Shen, Yong Luo, Bo Du, Dacheng Tao
2025 A* conf
Retrieval-Augmented Perception: High-resolution Image Perception Meets Visual RAG.
ICML
Wenbin Wang, Yongcheng Jing, Liang Ding, Yingjie Wang, Li Shen, Yong Luo, Bo Du, Dacheng Tao
2025 — conf
Robust Active Speaker Detection in Challenging Environments Using GNN-Fused Multi-modal Cues and Body Language.
MMM (3)
Yongqian Li, Yong Luo, Xin Zhou
2025 J jnl
SRD: Reinforcement-Learned Semantic Perturbation for Backdoor Defense in VLMs.
CoRR
Shuhan Xu, Siyuan Liang, Hongling Zheng, Yong Luo, Aishan Liu, Dacheng Tao
2025 J jnl
Sequential Federated Learning in Hierarchical Architecture on Non-IID Datasets.
IEEE Trans. Mob. Comput.
Xingrun Yan, Shiyuan Zuo, Rongfei Fan, Han Hu, Li Shen, Puning Zhao, Yong Luo
2025 — conf
Successive Mouse Movement: Dual-Phase Adaptation with Pre-balancing and Test-Time Learning.
ICONIP (1)
Jingyi Feng, Yong Luo, Anke Tang, Xuxu Liu
2025 A* conf
Targeted Low-rank Refinement: Enhancing Sparse Language Models with Precision.
ICML
Li Shen, Anke Tang, Yong Luo, Tao Sun, Han Hu, Xiaochun Cao
2025 J jnl
Unsupervised deep learning model for fast energy layer pre-selection of delivery-efficient proton arc therapy plan optimization of nasopharyngeal carcinoma.
CoRR
Bohan Yang, Gang Liu, Rirao Dao, Yujia Qian, Ke Shi, Anke Tang, Yong Luo, Jingnan Liu
2025 J jnl
ViF-SD2E: a robust weakly-supervised framework for neural decoding.
Neural Comput. Appl.
Jingyi Feng, Yong Luo, Shuang Song, Han Hu
2024 J jnl
ADEM-VL: Adaptive and Embedded Fusion for Efficient Vision-Language Tuning.
CoRR
Zhiwei Hao, Jianyuan Guo, Li Shen, Yong Luo, Han Hu, Yonggang Wen
2024 J jnl
Aligning Few-Step Diffusion Models with Dense Reward Difference Learning.
CoRR
Ziyi Zhang, Li Shen, Sen Zhang, Deheng Ye, Yong Luo, Miaojing Shi, Bo Du, Dacheng Tao
2024 A* conf
Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases.
ICML
Ziyi Zhang, Sen Zhang, Yibing Zhan, Yong Luo, Yonggang Wen, Dacheng Tao
2024 J jnl
Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases.
CoRR
Ziyi Zhang, Sen Zhang, Yibing Zhan, Yong Luo, Yonggang Wen, Dacheng Tao
2024 A* conf
Cycle Self-Refinement for Multi-Source Domain Adaptation.
AAAI
Chaoyang Zhou, Zengmao Wang, Bo Du, Yong Luo
2024 J jnl
DeViT: Decomposing Vision Transformers for Collaborative Inference in Edge Devices.
IEEE Trans. Mob. Comput.
Guanyu Xu, Zhiwei Hao, Yong Luo, Han Hu, Jianping An, Shiwen Mao
2024 A* conf
Decomposed Prompt Decision Transformer for Efficient Unseen Task Generalization.
NeurIPS
Hongling Zheng, Li Shen, Yong Luo, Tongliang Liu, Jialie Shen, Dacheng Tao
2024 A* conf
Decomposing Semantic Shifts for Composed Image Retrieval.
AAAI
Xingyu Yang, Daqing Liu, Heng Zhang, Yong Luo, Chaoyue Wang, Jing Zhang
2024 — conf
Depression Diagnosis and Analysis via Multimodal Multi-order Factor Fusion.
ICANN (8)
Chengbo Yuan, Xuxu Liu, Qianhui Xu, Yongqian Li, Yong Luo, Xin Zhou
2024 J jnl
Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models.
CoRR
Wenbin Wang, Liang Ding, Minyan Zeng, Xiabin Zhou, Li Shen, Yong Luo, Dacheng Tao
2024 — conf
EDPS-SST: Enhanced Dynamic Path Stitching with Structural Similarity Thresholding for Large-Scale Medical Image Stitching Under Sparse Pixel Overlap.
ICANN (8)
Zhuan Han, Dixiao Tao, Bohan Yang, Yong Luo, Baochuan Pang, Dehua Cao, Cheng Li, Xin Zhou
2024 J jnl
Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging.
CoRR
Li Shen, Anke Tang, Enneng Yang, Guibing Guo, Yong Luo, Lefei Zhang, Xiaochun Cao, Bo Du, Dacheng Tao
2024 A* conf
Eliminating the Cross-Domain Misalignment in Text-guided Image Inpainting.
IJCAI
Muqi Huang, Chaoyue Wang, Yong Luo, Lefei Zhang
2024 J jnl
Federated Learning with Only Positive Labels by Exploring Label Correlations.
CoRR
Xuming An, Dui Wang, Li Shen, Yong Luo, Han Hu, Bo Du, Yonggang Wen, Dacheng Tao
2024 J jnl
Foundation models matter: federated learning for multi-center tuberculosis diagnosis via adaptive regularization and model-contrastive learning.
World Wide Web (WWW)
Chang Liu, Yong Luo, Yongchao Xu, Bo Du
2024 J jnl
FusionBench: A Comprehensive Benchmark of Deep Model Fusion.
CoRR
Anke Tang, Li Shen, Yong Luo, Han Hu, Bo Du, Dacheng Tao
2024 J jnl
HPFL: hyper-network guided personalized federated learning for multi-center tuberculosis chest x-ray diagnosis.
Multim. Tools Appl.
Chang Liu, Yong Luo, Yongchao Xu, Bo Du
2024 A* conf
Improving Generalized Zero-Shot Learning by Exploring the Diverse Semantics from External Class Names.
CVPR
Yapeng Li, Yong Luo, Zengmao Wang, Bo Du
2024 A* conf
Joint Input and Output Coordination for Class-Incremental Learning.
IJCAI
Shuai Wang, Yibing Zhan, Yong Luo, Han Hu, Wei Yu, Yonggang Wen, Dacheng Tao
2024 J jnl
Joint Input and Output Coordination for Class-Incremental Learning.
CoRR
Shuai Wang, Yibing Zhan, Yong Luo, Han Hu, Wei Yu, Yonggang Wen, Dacheng Tao
2024 A* conf
MG-Net: Learn to Customize QAOA with Circuit Depth Awareness.
NeurIPS
Yang Qian, Xinbiao Wang, Yuxuan Du, Yong Luo, Dacheng Tao
2024 J jnl
MG-Net: Learn to Customize QAOA with Circuit Depth Awareness.
CoRR
Yang Qian, Xinbiao Wang, Yuxuan Du, Yong Luo, Dacheng Tao
2024 A* conf
MMSite: A Multi-modal Framework for the Identification of Active Sites in Proteins.
NeurIPS
Song Ouyang, Huiyu Cai, Yong Luo, Kehua Su, Lefei Zhang, Bo Du
2024 J jnl
MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Yapeng Li, Yong Luo, Lefei Zhang, Zengmao Wang, Bo Du
2024 A* conf
Merging Multi-Task Models via Weight-Ensembling Mixture of Experts.
ICML
Anke Tang, Li Shen, Yong Luo, Nan Yin, Lefei Zhang, Dacheng Tao
2024 J jnl
Merging Multi-Task Models via Weight-Ensembling Mixture of Experts.
CoRR
Anke Tang, Li Shen, Yong Luo, Nan Yin, Lefei Zhang, Dacheng Tao
2024 A* conf
Multi-Granularity Hand Action Detection.
ACM Multimedia
Ting Zhe, Jing Zhang, Yongqian Li, Yong Luo, Han Hu, Dacheng Tao
2024 J jnl
Not All Instances Contribute Equally: Instance-Adaptive Class Representation Learning for Few-Shot Visual Recognition.
IEEE Trans. Neural Networks Learn. Syst.
Mengya Han, Yibing Zhan, Yong Luo, Bo Du, Han Hu, Yonggang Wen, Dacheng Tao
2024 — conf
OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models.
ACL (Findings)
Shuai Wang, Liang Ding, Li Shen, Yong Luo, Bo Du, Dacheng Tao
2024 J jnl
OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models.
CoRR
Shuai Wang, Liang Ding, Li Shen, Yong Luo, Bo Du, Dacheng Tao
2024 A* conf
Parameter-Efficient Multi-Task Model Fusion with Partial Linearization.
ICLR
Anke Tang, Li Shen, Yong Luo, Yibing Zhan, Han Hu, Bo Du, Yixin Chen, Dacheng Tao
2024 A* conf
PrimKD: Primary Modality Guided Multimodal Fusion for RGB-D Semantic Segmentation.
ACM Multimedia
Zhiwei Hao, Zhongyu Xiao, Yong Luo, Jianyuan Guo, Jing Wang, Li Shen, Han Hu
2024 — conf
SCST: Spatial Consistent Swin Transformer for Multi-focus Biomedical Microscopic Image Fusion.
ICANN (8)
Dengpan Liu, Jiacheng Zhang, Bohan Yang, Yong Luo, Baochuan Pang, Dehua Cao, Cheng Li, Xin Zhou
2024 J jnl
SGDA: Towards 3-D Universal Pulmonary Nodule Detection via Slice Grouped Domain Attention.
IEEE Trans. Comput. Biol. Bioinform.
Rui Xu, Zhi Liu, Yong Luo, Han Hu, Li Shen, Bo Du, Kaiming Kuang, Jiancheng Yang
2024 J jnl
SMILE: Zero-Shot Sparse Mixture of Low-Rank Experts Construction From Pre-Trained Foundation Models.
CoRR
Anke Tang, Li Shen, Yong Luo, Shuai Xie, Han Hu, Lefei Zhang, Bo Du, Dacheng Tao
2024 J jnl
Separable Power of Classical and Quantum Learning Protocols Through the Lens of No-Free-Lunch Theorem.
CoRR
Xinbiao Wang, Yuxuan Du, Kecheng Liu, Yong Luo, Bo Du, Dacheng Tao
2024 J jnl
Sequential Federated Learning in Hierarchical Architecture on Non-IID Datasets.
CoRR
Xingrun Yan, Shiyuan Zuo, Rongfei Fan, Han Hu, Li Shen, Puning Zhao, Yong Luo
2024 J jnl
Textual Enhanced Adaptive Meta-Fusion for Few-Shot Visual Recognition.
IEEE Trans. Multim.
Mengya Han, Yibing Zhan, Yong Luo, Han Hu, Kehua Su, Bo Du
2024 J jnl
Towards Efficient Pareto Set Approximation via Mixture of Experts Based Model Fusion.
CoRR
Anke Tang, Li Shen, Yong Luo, Shiwei Liu, Han Hu, Bo Du
2024 A conf
Training-Free Robust Neural Network Search Via Pruning.
ICME
Qiancheng Yang, Yong Luo, Bo Du
2024 J jnl
USCD: Improving Code Generation of LLMs by Uncertainty-Aware Selective Contrastive Decoding.
CoRR
Shuai Wang, Liang Ding, Li Shen, Yong Luo, Zheng He, Wei Yu, Dacheng Tao
2024 J jnl
UVaT: Uncertainty Incorporated View-Aware Transformer for Robust Multi-View Classification.
IEEE Trans. Image Process.
Yapeng Li, Yong Luo, Bo Du
2024 A* conf
WisdoM: Improving Multimodal Sentiment Analysis by Fusing Contextual World Knowledge.
ACM Multimedia
Wenbin Wang, Liang Ding, Li Shen, Yong Luo, Han Hu, Dacheng Tao
2024 J jnl
WisdoM: Improving Multimodal Sentiment Analysis by Fusing Contextual World Knowledge.
CoRR
Wenbin Wang, Liang Ding, Li Shen, Yong Luo, Han Hu, Dacheng Tao
2024 A* conf
Zero-shot Learning for Preclinical Drug Screening.
IJCAI
Kun Li, Weiwei Liu, Yong Luo, Xiantao Cai, Jia Wu, Wenbin Hu
2023 J jnl
A Knowledge-Enriched Ensemble Method for Word Embedding and Multi-Sense Embedding.
IEEE Trans. Knowl. Data Eng.
Lanting Fang, Yong Luo, Kaiyu Feng, Kaiqi Zhao, Aiqun Hu
2023 A conf
Audio-Visual Generalized Zero-Shot Learning Based on Variational Information Bottleneck.
ICME
Yapeng Li, Yong Luo, Bo Du
2023 A conf
CLNode: Curriculum Learning for Node Classification.
WSDM
Xiaowen Wei, Xiuwen Gong, Yibing Zhan, Bo Du, Yong Luo, Wenbin Hu
2023 J jnl
Concrete Subspace Learning based Interference Elimination for Multi-task Model Fusion.
CoRR
Anke Tang, Li Shen, Yong Luo, Liang Ding, Han Hu, Bo Du, Dacheng Tao
2023 J jnl
DRRNets: Dynamic Recurrent Routing via Low-Rank Regularization in Recurrent Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Dongjing Shan, Yong Luo, Xiongwei Zhang, Chao Zhang
2023 J jnl
DeViT: Decomposing Vision Transformers for Collaborative Inference in Edge Devices.
CoRR
Guanyu Xu, Zhiwei Hao, Yong Luo, Han Hu, Jianping An, Shiwen Mao
2023 J jnl
Decompose Semantic Shifts for Composed Image Retrieval.
CoRR
Xingyu Yang, Daqing Liu, Heng Zhang, Yong Luo, Chaoyue Wang, Jing Zhang
2023 J jnl
FHA-Kitchens: A Novel Dataset for Fine-Grained Hand Action Recognition in Kitchen Scenes.
CoRR
Ting Zhe, Yongqian Li, Jing Zhang, Yong Luo, Han Hu, Bo Du, Yonggang Wen, Dacheng Tao
2023 A* conf
FedABC: Targeting Fair Competition in Personalized Federated Learning.
AAAI
Dui Wang, Li Shen, Yong Luo, Han Hu, Kehua Su, Yonggang Wen, Dacheng Tao
2023 J jnl
FedABC: Targeting Fair Competition in Personalized Federated Learning.
CoRR
Dui Wang, Li Shen, Yong Luo, Han Hu, Kehua Su, Yonggang Wen, Dacheng Tao
2023 — conf
FedARC: Federated Learning for Multi-Center Tuberculosis Chest X-ray Diagnosis with Adaptive Regularizing Contrastive Representation.
BIBM
Chang Liu, Yong Luo, Yongchao Xu, Bo Du
2023 A* conf
Federated Learning with Manifold Regularization and Normalized Update Reaggregation.
NeurIPS
Xuming An, Li Shen, Han Hu, Yong Luo
2023 J jnl
Federated Learning with Manifold Regularization and Normalized Update Reaggregation.
CoRR
Xuming An, Li Shen, Han Hu, Yong Luo
2023 J jnl
Graph Regularized Structured Output SVM for Early Expression Detection With Online Extension.
IEEE Trans. Cybern.
Liping Xie, Yong Luo, Shun-Feng Su, Haikun Wei
2023 A* conf
Improving Heterogeneous Model Reuse by Density Estimation.
IJCAI
Anke Tang, Yong Luo, Han Hu, Fengxiang He, Kehua Su, Bo Du, Yixin Chen, Dacheng Tao
2023 J jnl
Improving Heterogeneous Model Reuse by Density Estimation.
CoRR
Anke Tang, Yong Luo, Han Hu, Fengxiang He, Kehua Su, Bo Du, Yixin Chen, Dacheng Tao
2023 A* conf
LGViT: Dynamic Early Exiting for Accelerating Vision Transformer.
ACM Multimedia
Guanyu Xu, Jiawei Hao, Li Shen, Han Hu, Yong Luo, Hui Lin, Jialie Shen
2023 J jnl
LGViT: Dynamic Early Exiting for Accelerating Vision Transformer.
CoRR
Guanyu Xu, Jiawei Hao, Li Shen, Han Hu, Yong Luo, Hui Lin, Jialie Shen
2023 J jnl
Learn From Model Beyond Fine-Tuning: A Survey.
CoRR
Hongling Zheng, Li Shen, Anke Tang, Yong Luo, Han Hu, Bo Du, Dacheng Tao
2023 — conf
MBMS-GAN: Multi-Band Multi-Scale Adversarial Learning for Enhancement of Coded Speech at Very Low Rate.
ICANN (7)
Qianhui Xu, Weiping Tu, Yong Luo, Xin Zhou, Li Xiao, Youqiang Zheng
2023 — conf
MFT: Multi-scale Fusion Transformer for Infrared and Visible Image Fusion.
ICANN (6)
Chen-Ming Zhang, Chengbo Yuan, Yong Luo, Xin Zhou
2023 J jnl
MIGPerf: A Comprehensive Benchmark for Deep Learning Training and Inference Workloads on Multi-Instance GPUs.
CoRR
Huaizheng Zhang, Yuanming Li, Wencong Xiao, Yizheng Huang, Xing Di, Jianxiong Yin, Simon See, Yong Luo, Chiew Tong Lau, Yang You
2023 J jnl
Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Learning.
IEEE Trans. Mob. Comput.
Zhiwei Hao, Guanyu Xu, Yong Luo, Han Hu, Jianping An, Shiwen Mao
2023 J jnl
Parameter Efficient Multi-task Model Fusion with Partial Linearization.
CoRR
Anke Tang, Li Shen, Yong Luo, Yibing Zhan, Han Hu, Bo Du, Yixin Chen, Dacheng Tao
2023 J jnl
PartSeg: Few-shot Part Segmentation via Part-aware Prompt Learning.
CoRR
Mengya Han, Heliang Zheng, Chaoyue Wang, Yong Luo, Han Hu, Jing Zhang, Yonggang Wen
2023 J jnl
Region-adaptive Concept Aggregation for Few-shot Visual Recognition.
Mach. Intell. Res.
Mengya Han, Yibing Zhan, Baosheng Yu, Yong Luo, Han Hu, Bo Du, Yonggang Wen, Dacheng Tao
2023 A* conf
Rethinking the Localization in Weakly Supervised Object Localization.
ACM Multimedia
Rui Xu, Yong Luo, Han Hu, Bo Du, Jialie Shen, Yonggang Wen
2023 J jnl
Rethinking the Localization in Weakly Supervised Object Localization.
CoRR
Rui Xu, Yong Luo, Han Hu, Bo Du, Jialie Shen, Yonggang Wen
2023 J jnl
SGDA: Towards 3D Universal Pulmonary Nodule Detection via Slice Grouped Domain Attention.
CoRR
Rui Xu, Zhi Liu, Yong Luo, Han Hu, Li Shen, Bo Du, Kaiming Kuang, Jiancheng Yang
2023 — conf
Spatially Invariant and Frequency-Aware CycleGAN for Unsupervised MR-to-CT Synthesis.
ICANN (9)
Shuang Song, Jun Zhang, Wenbin Hu, Yong Luo, Xin Zhou
2023 A* conf
Symmetric Pruning in Quantum Neural Networks.
ICLR
Xinbiao Wang, Junyu Liu, Tongliang Liu, Yong Luo, Yuxuan Du, Dacheng Tao
2023 J jnl
Transition role of entangled data in quantum machine learning.
CoRR
Xinbiao Wang, Yuxuan Du, Zhuozhuo Tu, Yong Luo, Xiao Yuan, Dacheng Tao
2023 J jnl
Two-Stream Prototype Learning Network for Few-Shot Face Recognition Under Occlusions.
IEEE Trans. Multim.
Xingyu Yang, Mengya Han, Yong Luo, Han Hu, Yonggang Wen
2023 J jnl
Unpaired Image Captioning by Image-Level Weakly-Supervised Visual Concept Recognition.
IEEE Trans. Multim.
Peipei Zhu, Xiao Wang, Yong Luo, Zhenglong Sun, Wei-Shi Zheng, Yaowei Wang, Changwen Chen
2023 J jnl
Unsupervised Cross-domain Pulmonary Nodule Detection without Source Data.
CoRR
Rui Xu, Yong Luo, Bo Du
2023 J jnl
Zero-shot Learning of Drug Response Prediction for Preclinical Drug Screening.
CoRR
Kun Li, Yong Luo, Xiantao Cai, Wenbin Hu, Bo Du
2022 J jnl
CDFKD-MFS: Collaborative Data-Free Knowledge Distillation via Multi-Level Feature Sharing.
IEEE Trans. Multim.
Zhiwei Hao, Yong Luo, Zhi Wang, Han Hu, Jianping An
2022 J jnl
CDFKD-MFS: Collaborative Data-free Knowledge Distillation via Multi-level Feature Sharing.
CoRR
Zhiwei Hao, Yong Luo, Zhi Wang, Han Hu, Jianping An
2022 J jnl
Covered Style Mining via Generative Adversarial Networks for Face Anti-spoofing.
Pattern Recognit.
Yiqiang Wu, Dapeng Tao, Yong Luo, Jun Cheng, Xuelong Li
2022 — conf
CycleResume: A Cycle Learning Framework with Hybrid Attention for Fine-Grained Talent-Job Fit.
CICAI (3)
Zichen Zhang, Yong Luo, Yonggang Wen, Xinwen Zhang
2022 J jnl
Hyper-relationship Learning Network for Scene Graph Generation.
CoRR
Yibing Zhan, Zhi Chen, Jun Yu, Baosheng Yu, Dacheng Tao, Yong Luo
2022 J jnl
Intrinsic Performance Influence-based Participant Contribution Estimation for Horizontal Federated Learning.
ACM Trans. Intell. Syst. Technol.
Lin Zhang, Lixin Fan, Yong Luo, Ling-Yu Duan
2022 C conf
Knowledge Graph enhanced Multimodal Learning for Few-shot Visual Recognition.
MMSP
Mengya Han, Yibing Zhan, Baosheng Yu, Yong Luo, Bo Du, Dacheng Tao
2022 — conf
LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection.
MICCAI (1)
Rui Xu, Yong Luo, Bo Du, Kaiming Kuang, Jiancheng Yang
2022 J jnl
LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection.
CoRR
Rui Xu, Yong Luo, Bo Du, Kaiming Kuang, Jiancheng Yang
2022 A* conf
Leveraging GAN Priors for Few-Shot Part Segmentation.
ACM Multimedia
Mengya Han, Heliang Zheng, Chaoyue Wang, Yong Luo, Han Hu, Bo Du
2022 J jnl
Leveraging GAN Priors for Few-Shot Part Segmentation.
CoRR
Mengya Han, Heliang Zheng, Chaoyue Wang, Yong Luo, Han Hu, Bo Du
2022 J jnl
Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Learning.
CoRR
Zhiwei Hao, Guanyu Xu, Yong Luo, Han Hu, Jianping An, Shiwen Mao
2022 C conf
Nonlinear Multi-Model Reuse.
MMSP
Yong Luo, Ling-Yu Duan, Yan Bai, Tongliang Liu, Yihang Lou, Yonggang Wen
2022 J jnl
Not All Instances Contribute Equally: Instance-adaptive Class Representation Learning for Few-Shot Visual Recognition.
CoRR
Mengya Han, Yibing Zhan, Yong Luo, Bo Du, Han Hu, Yonggang Wen, Dacheng Tao
2022 A* conf
Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation.
AAAI
Chao Chen, Yibing Zhan, Baosheng Yu, Liu Liu, Yong Luo, Bo Du
2022 J jnl
Resistance Training using Prior Bias: toward Unbiased Scene Graph Generation.
CoRR
Chao Chen, Yibing Zhan, Baosheng Yu, Liu Liu, Yong Luo, Bo Du
2022 C conf
Robust Metric Boosts Transfer.
MMSP
Qiancheng Yang, Yong Luo, Han Hu, Xin Zhou, Bo Du, Dacheng Tao
2022 J jnl
Symmetric Pruning in Quantum Neural Networks.
CoRR
Xinbiao Wang, Junyu Liu, Tongliang Liu, Yong Luo, Yuxuan Du, Dacheng Tao
2022 J jnl
Unpaired Image Captioning by Image-level Weakly-Supervised Visual Concept Recognition.
CoRR
Peipei Zhu, Xiao Wang, Yong Luo, Zhenglong Sun, Wei-Shi Zheng, Yaowei Wang, Changwen Chen
2021 J jnl
A Serverless Cloud-Fog Platform for DNN-Based Video Analytics with Incremental Learning.
CoRR
Huaizheng Zhang, Meng Shen, Yizheng Huang, Yonggang Wen, Yong Luo, Guanyu Gao, Kyle Guan
2021 A* conf
Data-Free Ensemble Knowledge Distillation for Privacy-conscious Multimedia Model Compression.
ACM Multimedia
Zhiwei Hao, Yong Luo, Han Hu, Jianping An, Yonggang Wen
2021 A* conf
Federated Learning for Non-IID Data via Unified Feature Learning and Optimization Objective Alignment.
ICCV
Lin Zhang, Yong Luo, Yan Bai, Bo Du, Ling-Yu Duan
2021 A conf
Model Compression via Collaborative Data-Free Knowledge Distillation for Edge Intelligence.
ICME
Zhiwei Hao, Yong Luo, Zhi Wang, Han Hu, Jianping An
2021 J jnl
ModelPS: An Interactive and Collaborative Platform for Editing Pre-trained Models at Scale.
CoRR
Yuanming Li, Huaizheng Zhang, Shanshan Jiang, Fan Yang, Yonggang Wen, Yong Luo
2021 J jnl
Near-Online Multi-Pedestrian Tracking via Combining Multiple Consistent Appearance Cues.
IEEE Trans. Circuits Syst. Video Technol.
Weijiang Feng, Long Lan, Yong Luo, Yue Yu, Xiang Zhang, Zhigang Luo
2021 J jnl
Toward a Wearable Crowdsource System to Monitor Respiratory Symptoms for Pandemic Early Warning.
IEEE Netw.
Wei Zhang, Jie Li, Yonggang Wen, Yong Luo
2021 J jnl
Towards understanding the power of quantum kernels in the NISQ era.
CoRR
Xinbiao Wang, Yuxuan Du, Yong Luo, Dacheng Tao
2021 J jnl
Towards understanding the power of quantum kernels in the NISQ era.
Quantum
Xinbiao Wang, Yuxuan Du, Yong Luo, Dacheng Tao
2020 A* conf
Deep Heterogeneous Multi-Task Metric Learning for Visual Recognition and Retrieval.
ACM Multimedia
Shikang Gan, Yong Luo, Yonggang Wen, Tongliang Liu, Han Hu
2020 A* conf
Hysia: Serving DNN-Based Video-to-Retail Applications in Cloud.
ACM Multimedia
Huaizheng Zhang, Yuanming Li, Qiming Ai, Yong Luo, Yonggang Wen, Yichao Jin, Ta Nguyen Binh Duong
2020 J jnl
Hysia: Serving DNN-Based Video-to-Retail Applications in Cloud.
CoRR
Huaizheng Zhang, Yuanming Li, Qiming Ai, Yong Luo, Yonggang Wen, Yichao Jin, Duong Nguyen Binh Ta
2020 A* conf
Look, Read and Feel: Benchmarking Ads Understanding with Multimodal Multitask Learning.
ACM Multimedia
Huaizheng Zhang, Yong Luo, Qiming Ai, Yonggang Wen, Han Hu
2020 A* conf
Semi-supervised Online Multi-Task Metric Learning for Visual Recognition and Retrieval.
ACM Multimedia
Yangxi Li, Han Hu, Jin Li, Yong Luo, Yonggang Wen
2020 J jnl
Towards Efficient Front-End Visual Sensing for Digital Retina: A Model-Centric Paradigm.
IEEE Trans. Multim.
Yihang Lou, Ling-Yu Duan, Yong Luo, Ziqian Chen, Tongliang Liu, Shiqi Wang, Wen Gao
2020 J jnl
Transforming Device Fingerprinting for Wireless Security via Online Multitask Metric Learning.
IEEE Internet Things J.
Yong Luo, Han Hu, Yonggang Wen, Dacheng Tao
2020 J jnl
When Wireless Video Streaming Meets AI: A Deep Learning Approach.
IEEE Wirel. Commun.
Lu Liu, Han Hu, Yong Luo, Yonggang Wen
2020 J jnl
xTML: A Unified Heterogeneous Transfer Metric Learning Framework for Multimedia Applications [Application Notes].
IEEE Comput. Intell. Mag.
Lu Liu, Yong Luo, Han Hu, Yonggang Wen, Dacheng Tao, Xin Yao
2019 J jnl
Cost-Sensitive Feature Selection by Optimizing F-Measures.
CoRR
Meng Liu, Chang Xu, Yong Luo, Chao Xu, Yonggang Wen, Dacheng Tao
2019 J jnl
Decomposition-Based Transfer Distance Metric Learning for Image Classification.
CoRR
Yong Luo, Tongliang Liu, Dacheng Tao, Chao Xu
2019 J jnl
Heterogeneous Multi-task Metric Learning across Multiple Domains.
CoRR
Yong Luo, Yonggang Wen, Dacheng Tao
2019 — conf
Heterogeneous Transfer Learning for Thermal Comfort Modeling.
BuildSys
Weizheng Hu, Yong Luo, Zongqing Lu, Yonggang Wen
2019 A conf
Incorporating Category Taxonomy in Deep Reinforcement Learning Based Image Hashing.
ICME
Qiang Fu, Linsen Dong, Ziyuan Liu, Yong Luo, Yonggang Wen, Ying Li, Ling-Yu Duan
2019 A* conf
Knowledge-Enhanced Ensemble Learning for Word Embeddings.
WWW
Lanting Fang, Yong Luo, Kaiyu Feng, Kaiqi Zhao, Aiqun Hu
2019 J jnl
Large Margin Multi-modal Multi-task Feature Extraction for Image Classification.
CoRR
Yong Luo, Yonggang Wen, Dacheng Tao, Jie Gui, Chao Xu
2019 J jnl
Look, Read and Feel: Benchmarking Ads Understanding with Multimodal Multitask Learning.
CoRR
Huaizheng Zhang, Yong Luo, Qiming Ai, Nana Hou, Yonggang Wen
2019 J jnl
Multi-View Matrix Completion for Multi-Label Image Classification.
CoRR
Yong Luo, Tongliang Liu, Dacheng Tao, Chao Xu
2019 J jnl
Multi-view Vector-valued Manifold Regularization for Multi-label Image Classification.
CoRR
Yong Luo, Dacheng Tao, Chang Xu, Chao Xu, Hong Liu, Yonggang Wen
2019 A conf
ResumeGAN: An Optimized Deep Representation Learning Framework for Talent-Job Fit via Adversarial Learning.
CIKM
Yong Luo, Huaizheng Zhang, Yonggang Wen, Xinwen Zhang
2019 C conf
Toward Intelligent Visual Sensing and Low-cost Analysis: A Collaborative Computing Approach.
VCIP
Yan Bai, Ling-Yu Duan, Yong Luo, Shiqi Wang, Yonggang Wen, Wen Gao
2019 A conf
Towards Digital Retina in Smart Cities: A Model Generation, Utilization and Communication Paradigm.
ICME
Yihang Lou, Ling-Yu Duan, Yong Luo, Ziqian Chen, Tongliang Liu, Shiqi Wang, Wen Gao
2019 J jnl
Towards Digital Retina in Smart Cities: A Model Generation, Utilization and Communication Paradigm.
CoRR
Yihang Lou, Ling-Yu Duan, Yong Luo, Ziqian Chen, Tongliang Liu, Shiqi Wang, Wen Gao
2019 J jnl
Transferring Knowledge Fragments for Learning Distance Metric from A Heterogeneous Domain.
CoRR
Yong Luo, Yonggang Wen, Tongliang Liu, Dacheng Tao
2019 J jnl
Transferring Knowledge Fragments for Learning Distance Metric from a Heterogeneous Domain.
IEEE Trans. Pattern Anal. Mach. Intell.
Yong Luo, Yonggang Wen, Tongliang Liu, Dacheng Tao
2018 J jnl
Cost-Sensitive Feature Selection by Optimizing F-Measures.
IEEE Trans. Image Process.
Meng Liu, Chang Xu, Yong Luo, Chao Xu, Yonggang Wen, Dacheng Tao
2018 J jnl
Data-Driven Lightweight Interest Point Selection for Large-Scale Visual Search.
IEEE Trans. Multim.
Feng Gao, Xinfeng Zhang, Yicheng Huang, Yong Luo, Xiaoming Li, Ling-Yu Duan
2018 A* conf
Deep Discrete Prototype Multilabel Learning.
IJCAI
Xiaobo Shen, Weiwei Liu, Yong Luo, Yew-Soon Ong, Ivor W. Tsang
2018 J jnl
Heterogeneous Multitask Metric Learning Across Multiple Domains.
IEEE Trans. Neural Networks Learn. Syst.
Yong Luo, Yonggang Wen, Dacheng Tao
2018 J jnl
How to Find a Perfect Data Scientist: A Distance-Metric Learning Approach.
IEEE Access
Han Hu, Yong Luo, Yonggang Wen, Yew-Soon Ong, Xinwen Zhang
2018 A* conf
Online Heterogeneous Transfer Metric Learning.
IJCAI
Yong Luo, Tongliang Liu, Yonggang Wen, Dacheng Tao
2018 A* conf
ResumeNet: A Learning-Based Framework for Automatic Resume Quality Assessment.
ICDM
Yong Luo, Huaizheng Zhang, Yongjie Wang, Yonggang Wen, Xinwen Zhang
2018 J jnl
ResumeNet: A Learning-based Framework for Automatic Resume Quality Assessment.
CoRR
Yong Luo, Huaizheng Zhang, Yongjie Wang, Yonggang Wen, Xinwen Zhang
2018 J jnl
Toward Intelligent Product Retrieval for TV-to-Online (T2O) Application: A Transfer Metric Learning Approach.
IEEE Trans. Multim.
Qiang Fu, Yong Luo, Yonggang Wen, Dacheng Tao, Ying Li, Ling-Yu Duan
2018 J jnl
Transfer Metric Learning: Algorithms, Applications and Outlooks.
CoRR
Yong Luo, Yonggang Wen, Ling-Yu Duan, Dacheng Tao
2017 A* conf
Cost-Sensitive Feature Selection via F-Measure Optimization Reduction.
AAAI
Meng Liu, Chang Xu, Yong Luo, Chao Xu, Yonggang Wen, Dacheng Tao
2017 A* conf
Exploiting High-Order Information in Heterogeneous Multi-Task Feature Learning.
IJCAI
Yong Luo, Dacheng Tao, Yonggang Wen
2017 A* conf
General Heterogeneous Transfer Distance Metric Learning via Knowledge Fragments Transfer.
IJCAI
Yong Luo, Yonggang Wen, Tongliang Liu, Dacheng Tao
2016 J jnl
Large Margin Multi-Modal Multi-Task Feature Extraction for Image Classification.
IEEE Trans. Image Process.
Yong Luo, Yonggang Wen, Dacheng Tao, Jie Gui, Chao Xu
2016 A* conf
On Combining Side Information and Unlabeled Data for Heterogeneous Multi-Task Metric Learning.
IJCAI
Yong Luo, Yonggang Wen, Dacheng Tao
2016 A* conf
Tensor canonical correlation analysis for multi-view dimension reduction.
ICDE
Yong Luo, Dacheng Tao, Kotagiri Ramamohanarao, Chao Xu, Yonggang Wen
2016 B conf
Toward Effortless TV-to-Online (T2O) Experience: A Novel Metric Learning Approach.
GLOBECOM
Yong Luo, Yonggang Wen, Dacheng Tao, Qiang Fu
2015 A* conf
Low-Rank Multi-View Learning in Matrix Completion for Multi-Label Image Classification.
AAAI
Meng Liu, Yong Luo, Dacheng Tao, Chao Xu, Yonggang Wen
2015 A conf
Manifold Regularized Transfer Distance Metric Learning.
BMVC
Haibo Shi, Yong Luo, Chao Xu, Yonggang Wen
2015 J jnl
Multiview Matrix Completion for Multilabel Image Classification.
IEEE Trans. Image Process.
Yong Luo, Tongliang Liu, Dacheng Tao, Chao Xu
2015 J jnl
Tensor Canonical Correlation Analysis for Multi-View Dimension Reduction.
IEEE Trans. Knowl. Data Eng.
Yong Luo, Dacheng Tao, Kotagiri Ramamohanarao, Chao Xu, Yonggang Wen
2015 J jnl
Tensor Canonical Correlation Analysis for Multi-view Dimension Reduction.
CoRR
Yong Luo, Dacheng Tao, Yonggang Wen, Kotagiri Ramamohanarao, Chao Xu
2014 J jnl
Decomposition-Based Transfer Distance Metric Learning for Image Classification.
IEEE Trans. Image Process.
Yong Luo, Tongliang Liu, Dacheng Tao, Chao Xu
2014 J jnl
Group Sparse Multiview Patch Alignment Framework With View Consistency for Image Classification.
IEEE Trans. Image Process.
Jie Gui, Dacheng Tao, Zhenan Sun, Yong Luo, Xinge You, Yuan Yan Tang
2014 — conf
Manifold Regularized Multi-view Feature Selection for Web Image Annotation.
PCM
Yangxi Li, Xin Shi, Lingling Tong, Yong Luo, Jinhui Tu, Xiaobo Zhu
2014 A* conf
Multi-view Multi-task Feature Extraction for Web Image Classification.
ACM Multimedia
Zhiqiang Zuo, Yong Luo, Dacheng Tao, Chao Xu
2014 A* conf
Pre-Trained Multi-View Word Embedding Using Two-Side Neural Network.
AAAI
Yong Luo, Jian Tang, Jun Yan, Chao Xu, Zheng Chen
2013 Misc conf
FIM: A Real-Time Content Based Sample Image Matching System.
ICIG
Yong Luo, Yangxi Li, Jinhui Tu, Chao Xu
2013 J jnl
Manifold Regularized Multitask Learning for Semi-Supervised Multilabel Image Classification.
IEEE Trans. Image Process.
Yong Luo, Dacheng Tao, Bo Geng, Chao Xu, Stephen J. Maybank
2013 J jnl
Multiview Vector-Valued Manifold Regularization for Multilabel Image Classification.
IEEE Trans. Neural Networks Learn. Syst.
Yong Luo, Dacheng Tao, Chang Xu, Chao Xu, Hong Liu, Yonggang Wen
2013 A* conf
Vector-Valued Multi-View Semi-Supervsed Learning for Multi-Label Image Classification.
AAAI
Yong Luo, Dacheng Tao, Chang Xu, Dongchen Li, Chao Xu
2011 — conf
Combining feature selectors in a product advertisement classification system.
ACPR
Yong Luo, Yangxi Li, Chao Zhou, Chao Xu
2011 — conf
Query Difficulty Guided Image Retrieval System.
MMM (2)
Yangxi Li, Yong Luo, Dacheng Tao, Chao Xu
2011 A* conf
Shared feature extraction for semi-supervised image classification.
ACM Multimedia
Yong Luo, Dacheng Tao, Bo Geng, Chao Xu, Stephen J. Maybank