Combining feature selectors in a product advertisement classification system. - Yong Luo 002; Yangxi Li; Chao Zhou; Chao Xu 006 (ACPR, 2011)

Shared feature extraction for semi-supervised image classification. - Yong Luo 002; Dacheng Tao; Bo Geng; Chao Xu 006; Stephen J. Maybank (ACM Multimedia, 2011)

Query Difficulty Guided Image Retrieval System. - Yangxi Li; Yong Luo 002; Dacheng Tao; Chao Xu 006 (MMM (2), 2011)

Vector-Valued Multi-View Semi-Supervsed Learning for Multi-Label Image Classification. - Yong Luo 002; Dacheng Tao; Chang Xu 002; Dongchen Li; Chao Xu 006 (AAAI, 2013)

FIM: A Real-Time Content Based Sample Image Matching System. - Yong Luo 002; Yangxi Li; Jinhui Tu; Chao Xu 006 (ICIG, 2013)

Manifold Regularized Multitask Learning for Semi-Supervised Multilabel Image Classification. - Yong Luo 002; Dacheng Tao; Bo Geng; Chao Xu 006; Stephen J. Maybank (IEEE Trans. Image Process., 2013)

Multiview Vector-Valued Manifold Regularization for Multilabel Image Classification. - Yong Luo 002; Dacheng Tao; Chang Xu 002; Chao Xu 006; Hong Liu 008; Yonggang Wen 001 (IEEE Trans. Neural Networks Learn. Syst., 2013)

Pre-Trained Multi-View Word Embedding Using Two-Side Neural Network. - Yong Luo 002; Jian Tang 005; Jun Yan 001; Chao Xu 006; Zheng Chen 001 (AAAI, 2014)

Multi-view Multi-task Feature Extraction for Web Image Classification. - Zhiqiang Zuo 001; Yong Luo 002; Dacheng Tao; Chao Xu 006 (ACM Multimedia, 2014)

Manifold Regularized Multi-view Feature Selection for Web Image Annotation. - Yangxi Li; Xin Shi; Lingling Tong; Yong Luo 002; Jinhui Tu; Xiaobo Zhu (PCM, 2014)

Group Sparse Multiview Patch Alignment Framework With View Consistency for Image Classification. - Jie Gui; Dacheng Tao; Zhenan Sun; Yong Luo 002; Xinge You; Yuan Yan Tang (IEEE Trans. Image Process., 2014)

Decomposition-Based Transfer Distance Metric Learning for Image Classification. - Yong Luo 002; Tongliang Liu; Dacheng Tao; Chao Xu 006 (IEEE Trans. Image Process., 2014)

Low-Rank Multi-View Learning in Matrix Completion for Multi-Label Image Classification. - Meng Liu 003; Yong Luo 002; Dacheng Tao; Chao Xu 006; Yonggang Wen 001 (AAAI, 2015)

Manifold Regularized Transfer Distance Metric Learning. - Haibo Shi; Yong Luo 002; Chao Xu 006; Yonggang Wen 001 (BMVC, 2015)

Multiview Matrix Completion for Multilabel Image Classification. - Yong Luo 002; Tongliang Liu; Dacheng Tao; Chao Xu 006 (IEEE Trans. Image Process., 2015)

Toward Effortless TV-to-Online (T2O) Experience: A Novel Metric Learning Approach. - Yong Luo 002; Yonggang Wen 001; Dacheng Tao; Qiang Fu 006 (GLOBECOM, 2016)

Tensor canonical correlation analysis for multi-view dimension reduction. - Yong Luo 002; Dacheng Tao; Kotagiri Ramamohanarao; Chao Xu 006; Yonggang Wen 001 (ICDE, 2016)

On Combining Side Information and Unlabeled Data for Heterogeneous Multi-Task Metric Learning. - Yong Luo 002; Yonggang Wen 001; Dacheng Tao (IJCAI, 2016)

Large Margin Multi-Modal Multi-Task Feature Extraction for Image Classification. - Yong Luo 002; Yonggang Wen 001; Dacheng Tao; Jie Gui; Chao Xu 006 (IEEE Trans. Image Process., 2016)

Cost-Sensitive Feature Selection via F-Measure Optimization Reduction. - Meng Liu 003; Chang Xu 002; Yong Luo 002; Chao Xu 006; Yonggang Wen 001; Dacheng Tao (AAAI, 2017)

Exploiting High-Order Information in Heterogeneous Multi-Task Feature Learning. - Yong Luo 002; Dacheng Tao; Yonggang Wen 001 (IJCAI, 2017)

General Heterogeneous Transfer Distance Metric Learning via Knowledge Fragments Transfer. - Yong Luo 002; Yonggang Wen 001; Tongliang Liu; Dacheng Tao (IJCAI, 2017)

ResumeNet: A Learning-Based Framework for Automatic Resume Quality Assessment. - Yong Luo 002; Huaizheng Zhang; Yongjie Wang; Yonggang Wen 001; Xinwen Zhang (ICDM, 2018)

Deep Discrete Prototype Multilabel Learning. - Xiaobo Shen 001; Weiwei Liu 003; Yong Luo 002; Yew-Soon Ong; Ivor W. Tsang (IJCAI, 2018)

Online Heterogeneous Transfer Metric Learning. - Yong Luo 002; Tongliang Liu; Yonggang Wen 001; Dacheng Tao (IJCAI, 2018)

How to Find a Perfect Data Scientist: A Distance-Metric Learning Approach. - Han Hu 003; Yong Luo 002; Yonggang Wen 001; Yew-Soon Ong; Xinwen Zhang (IEEE Access, 2018)

Transfer Metric Learning: Algorithms, Applications and Outlooks. - Yong Luo 002; Yonggang Wen 001; Ling-Yu Duan; Dacheng Tao (CoRR, 2018)

Cost-Sensitive Feature Selection by Optimizing F-Measures. - Meng Liu 003; Chang Xu 002; Yong Luo 002; Chao Xu 006; Yonggang Wen 001; Dacheng Tao (IEEE Trans. Image Process., 2018)

Toward Intelligent Product Retrieval for TV-to-Online (T2O) Application: A Transfer Metric Learning Approach. - Qiang Fu 006; Yong Luo 002; Yonggang Wen 001; Dacheng Tao; Ying Li 012; Ling-Yu Duan (IEEE Trans. Multim., 2018)

Data-Driven Lightweight Interest Point Selection for Large-Scale Visual Search. - Feng Gao 014; Xinfeng Zhang 001; Yicheng Huang; Yong Luo 002; Xiaoming Li 001; Ling-Yu Duan (IEEE Trans. Multim., 2018)

Heterogeneous Multitask Metric Learning Across Multiple Domains. - Yong Luo 002; Yonggang Wen 001; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2018)

ResumeGAN: An Optimized Deep Representation Learning Framework for Talent-Job Fit via Adversarial Learning. - Yong Luo 002; Huaizheng Zhang; Yonggang Wen 001; Xinwen Zhang (CIKM, 2019)

Incorporating Category Taxonomy in Deep Reinforcement Learning Based Image Hashing. - Qiang Fu 006; Linsen Dong; Ziyuan Liu; Yong Luo 002; Yonggang Wen 001; Ying Li 012; Ling-Yu Duan (ICME, 2019)

Towards Digital Retina in Smart Cities: A Model Generation, Utilization and Communication Paradigm. - Yihang Lou; Ling-Yu Duan; Yong Luo 002; Ziqian Chen; Tongliang Liu; Shiqi Wang 001; Wen Gao 001 (ICME, 2019)

Heterogeneous Transfer Learning for Thermal Comfort Modeling. - Weizheng Hu; Yong Luo 002; Zongqing Lu 002; Yonggang Wen 001 (BuildSys, 2019)

Toward Intelligent Visual Sensing and Low-cost Analysis: A Collaborative Computing Approach. - Yan Bai; Ling-Yu Duan; Yong Luo 002; Shiqi Wang 001; Yonggang Wen 001; Wen Gao 001 (VCIP, 2019)

Knowledge-Enhanced Ensemble Learning for Word Embeddings. - Lanting Fang; Yong Luo 002; Kaiyu Feng; Kaiqi Zhao 001; Aiqun Hu (WWW, 2019)

Multi-View Matrix Completion for Multi-Label Image Classification. - Yong Luo 002; Tongliang Liu; Dacheng Tao; Chao Xu 006 (CoRR, 2019)

Multi-view Vector-valued Manifold Regularization for Multi-label Image Classification. - Yong Luo 002; Dacheng Tao; Chang Xu 002; Chao Xu 006; Hong Liu 008; Yonggang Wen 001 (CoRR, 2019)

Heterogeneous Multi-task Metric Learning across Multiple Domains. - Yong Luo 002; Yonggang Wen 001; Dacheng Tao (CoRR, 2019)

Look, Read and Feel: Benchmarking Ads Understanding with Multimodal Multitask Learning. - Huaizheng Zhang; Yong Luo 002; Qiming Ai; Nana Hou; Yonggang Wen 001 (CoRR, 2019)

Transferring Knowledge Fragments for Learning Distance Metric from a Heterogeneous Domain. - Yong Luo 002; Yonggang Wen 001; Tongliang Liu; Dacheng Tao (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Deep Heterogeneous Multi-Task Metric Learning for Visual Recognition and Retrieval. - Shikang Gan; Yong Luo 002; Yonggang Wen 001; Tongliang Liu; Han Hu 003 (ACM Multimedia, 2020)

Semi-supervised Online Multi-Task Metric Learning for Visual Recognition and Retrieval. - Yangxi Li; Han Hu 003; Jin Li 014; Yong Luo 002; Yonggang Wen 001 (ACM Multimedia, 2020)

Look, Read and Feel: Benchmarking Ads Understanding with Multimodal Multitask Learning. - Huaizheng Zhang; Yong Luo 002; Qiming Ai; Yonggang Wen 001; Han Hu 003 (ACM Multimedia, 2020)

Hysia: Serving DNN-Based Video-to-Retail Applications in Cloud. - Huaizheng Zhang; Yuanming Li; Qiming Ai; Yong Luo 002; Yonggang Wen 001; Yichao Jin; Ta Nguyen Binh Duong (ACM Multimedia, 2020)

xTML: A Unified Heterogeneous Transfer Metric Learning Framework for Multimedia Applications [Application Notes]. - Lu Liu; Yong Luo 002; Han Hu 003; Yonggang Wen 001; Dacheng Tao; Xin Yao 001 (IEEE Comput. Intell. Mag., 2020)

Transforming Device Fingerprinting for Wireless Security via Online Multitask Metric Learning. - Yong Luo 002; Han Hu 003; Yonggang Wen 001; Dacheng Tao (IEEE Internet Things J., 2020)

Towards Efficient Front-End Visual Sensing for Digital Retina: A Model-Centric Paradigm. - Yihang Lou; Ling-Yu Duan; Yong Luo 002; Ziqian Chen; Tongliang Liu; Shiqi Wang 001; Wen Gao 001 (IEEE Trans. Multim., 2020)

When Wireless Video Streaming Meets AI: A Deep Learning Approach. - Lu Liu; Han Hu 003; Yong Luo 002; Yonggang Wen 001 (IEEE Wirel. Commun., 2020)

Federated Learning for Non-IID Data via Unified Feature Learning and Optimization Objective Alignment. - Lin Zhang 014; Yong Luo 002; Yan Bai; Bo Du 001; Ling-Yu Duan (ICCV, 2021)

Model Compression via Collaborative Data-Free Knowledge Distillation for Edge Intelligence. - Zhiwei Hao 001; Yong Luo 002; Zhi Wang 001; Han Hu 003; Jianping An (ICME, 2021)

Data-Free Ensemble Knowledge Distillation for Privacy-conscious Multimedia Model Compression. - Zhiwei Hao 001; Yong Luo 002; Han Hu 003; Jianping An; Yonggang Wen 001 (ACM Multimedia, 2021)

A Serverless Cloud-Fog Platform for DNN-Based Video Analytics with Incremental Learning. - Huaizheng Zhang; Meng Shen 002; Yizheng Huang 001; Yonggang Wen 001; Yong Luo 002; Guanyu Gao; Kyle Guan (CoRR, 2021)

ModelPS: An Interactive and Collaborative Platform for Editing Pre-trained Models at Scale. - Yuanming Li; Huaizheng Zhang; Shanshan Jiang; Fan Yang; Yonggang Wen 001; Yong Luo 002 (CoRR, 2021)

Toward a Wearable Crowdsource System to Monitor Respiratory Symptoms for Pandemic Early Warning. - Wei Zhang 082; Jie Li 043; Yonggang Wen 001; Yong Luo 002 (IEEE Netw., 2021)

Towards understanding the power of quantum kernels in the NISQ era. - Xinbiao Wang; Yuxuan Du; Yong Luo 002; Dacheng Tao (Quantum, 2021)

Near-Online Multi-Pedestrian Tracking via Combining Multiple Consistent Appearance Cues. - Weijiang Feng; Long Lan; Yong Luo 002; Yue Yu 001; Xiang Zhang 008; Zhigang Luo (IEEE Trans. Circuits Syst. Video Technol., 2021)

Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation. - Chao Chen; Yibing Zhan; Baosheng Yu; Liu Liu 014; Yong Luo 002; Bo Du 001 (AAAI, 2022)

CycleResume: A Cycle Learning Framework with Hybrid Attention for Fine-Grained Talent-Job Fit. - Zichen Zhang 013; Yong Luo 002; Yonggang Wen 001; Xinwen Zhang (CICAI (3), 2022)

LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection. - Rui Xu 031; Yong Luo 002; Bo Du 001; Kaiming Kuang; Jiancheng Yang (MICCAI (1), 2022)

Leveraging GAN Priors for Few-Shot Part Segmentation. - Mengya Han; Heliang Zheng; Chaoyue Wang; Yong Luo 002; Han Hu 003; Bo Du 001 (ACM Multimedia, 2022)

Knowledge Graph enhanced Multimodal Learning for Few-shot Visual Recognition. - Mengya Han; Yibing Zhan; Baosheng Yu; Yong Luo 002; Bo Du 001; Dacheng Tao (MMSP, 2022)

Nonlinear Multi-Model Reuse. - Yong Luo 002; Ling-Yu Duan; Yan Bai; Tongliang Liu; Yihang Lou; Yonggang Wen 001 (MMSP, 2022)

Robust Metric Boosts Transfer. - Qiancheng Yang; Yong Luo 002; Han Hu 003; Xin Zhou 003; Bo Du 001; Dacheng Tao (MMSP, 2022)

Hyper-relationship Learning Network for Scene Graph Generation. - Yibing Zhan; Zhi Chen 010; Jun Yu 002; Baosheng Yu; Dacheng Tao; Yong Luo 002 (CoRR, 2022)

Covered Style Mining via Generative Adversarial Networks for Face Anti-spoofing. - Yiqiang Wu; Dapeng Tao; Yong Luo 002; Jun Cheng 002; Xuelong Li 001 (Pattern Recognit., 2022)

Intrinsic Performance Influence-based Participant Contribution Estimation for Horizontal Federated Learning. - Lin Zhang 014; Lixin Fan; Yong Luo 002; Ling-Yu Duan (ACM Trans. Intell. Syst. Technol., 2022)

CDFKD-MFS: Collaborative Data-Free Knowledge Distillation via Multi-Level Feature Sharing. - Zhiwei Hao 001; Yong Luo 002; Zhi Wang 001; Han Hu 003; Jianping An (IEEE Trans. Multim., 2022)

FedABC: Targeting Fair Competition in Personalized Federated Learning. - Dui Wang; Li Shen 008; Yong Luo 002; Han Hu 003; Kehua Su; Yonggang Wen 001; Dacheng Tao (AAAI, 2023)

FedARC: Federated Learning for Multi-Center Tuberculosis Chest X-ray Diagnosis with Adaptive Regularizing Contrastive Representation. - Chang Liu 046; Yong Luo 002; Yongchao Xu; Bo Du 001 (BIBM, 2023)

Symmetric Pruning in Quantum Neural Networks. - Xinbiao Wang; Junyu Liu; Tongliang Liu; Yong Luo 002; Yuxuan Du; Dacheng Tao (ICLR, 2023)

Audio-Visual Generalized Zero-Shot Learning Based on Variational Information Bottleneck. - Yapeng Li; Yong Luo 002; Bo Du 001 (ICME, 2023)

Improving Heterogeneous Model Reuse by Density Estimation. - Anke Tang; Yong Luo 002; Han Hu 003; Fengxiang He; Kehua Su; Bo Du 001; Yixin Chen 001; Dacheng Tao (IJCAI, 2023)

Rethinking the Localization in Weakly Supervised Object Localization. - Rui Xu 031; Yong Luo 002; Han Hu 003; Bo Du 001; Jialie Shen 001; Yonggang Wen 001 (ACM Multimedia, 2023)

LGViT: Dynamic Early Exiting for Accelerating Vision Transformer. - Guanyu Xu; Jiawei Hao; Li Shen 008; Han Hu 003; Yong Luo 002; Hui Lin; Jialie Shen 001 (ACM Multimedia, 2023)

Federated Learning with Manifold Regularization and Normalized Update Reaggregation. - Xuming An; Li Shen 008; Han Hu 003; Yong Luo 002 (NeurIPS, 2023)

CLNode: Curriculum Learning for Node Classification. - Xiaowen Wei; Xiuwen Gong; Yibing Zhan; Bo Du 001; Yong Luo 002; Wenbin Hu 001 (WSDM, 2023)

MIGPerf: A Comprehensive Benchmark for Deep Learning Training and Inference Workloads on Multi-Instance GPUs. - Huaizheng Zhang; Yuanming Li; Wencong Xiao; Yizheng Huang 001; Xing Di; Jianxiong Yin; Simon See; Yong Luo 002; Chiew Tong Lau; Yang You (CoRR, 2023)

SGDA: Towards 3D Universal Pulmonary Nodule Detection via Slice Grouped Domain Attention. - Rui Xu 031; Zhi Liu 002; Yong Luo 002; Han Hu 003; Li Shen 008; Bo Du 001; Kaiming Kuang; Jiancheng Yang (CoRR, 2023)

Unsupervised Cross-domain Pulmonary Nodule Detection without Source Data. - Rui Xu 031; Yong Luo 002; Bo Du 001 (CoRR, 2023)

Transition role of entangled data in quantum machine learning. - Xinbiao Wang; Yuxuan Du; Zhuozhuo Tu; Yong Luo 002; Xiao Yuan 002; Dacheng Tao (CoRR, 2023)

FHA-Kitchens: A Novel Dataset for Fine-Grained Hand Action Recognition in Kitchen Scenes. - Ting Zhe; Yongqian Li; Jing Zhang 037; Yong Luo 002; Han Hu 003; Bo Du 001; Yonggang Wen 001; Dacheng Tao (CoRR, 2023)

PartSeg: Few-shot Part Segmentation via Part-aware Prompt Learning. - Mengya Han; Heliang Zheng; Chaoyue Wang; Yong Luo 002; Han Hu 003; Jing Zhang 037; Yonggang Wen 001 (CoRR, 2023)

Decompose Semantic Shifts for Composed Image Retrieval. - Xingyu Yang; Daqing Liu; Heng Zhang; Yong Luo 002; Chaoyue Wang; Jing Zhang 037 (CoRR, 2023)

Learn From Model Beyond Fine-Tuning: A Survey. - Hongling Zheng; Li Shen 008; Anke Tang; Yong Luo 002; Han Hu 003; Bo Du 001; Dacheng Tao (CoRR, 2023)

Zero-shot Learning of Drug Response Prediction for Preclinical Drug Screening. - Kun Li 009; Yong Luo 002; Xiantao Cai; Wenbin Hu 001; Bo Du 001 (CoRR, 2023)

Concrete Subspace Learning based Interference Elimination for Multi-task Model Fusion. - Anke Tang; Li Shen 008; Yong Luo 002; Liang Ding 006; Han Hu 003; Bo Du 001; Dacheng Tao (CoRR, 2023)

Two-Stream Prototype Learning Network for Few-Shot Face Recognition Under Occlusions. - Xingyu Yang; Mengya Han; Yong Luo 002; Han Hu 003; Yonggang Wen 001 (IEEE Trans. Multim., 2023)

Unpaired Image Captioning by Image-Level Weakly-Supervised Visual Concept Recognition. - Peipei Zhu; Xiao Wang 014; Yong Luo 002; Zhenglong Sun 001; Wei-Shi Zheng 001; Yaowei Wang 001; Changwen Chen (IEEE Trans. Multim., 2023)

Graph Regularized Structured Output SVM for Early Expression Detection With Online Extension. - Liping Xie; Yong Luo 002; Shun-Feng Su; Haikun Wei (IEEE Trans. Cybern., 2023)

DRRNets: Dynamic Recurrent Routing via Low-Rank Regularization in Recurrent Neural Networks. - Dongjing Shan; Yong Luo 002; Xiongwei Zhang; Chao Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

A Knowledge-Enriched Ensemble Method for Word Embedding and Multi-Sense Embedding. - Lanting Fang; Yong Luo 002; Kaiyu Feng; Kaiqi Zhao 001; Aiqun Hu (IEEE Trans. Knowl. Data Eng., 2023)

Region-adaptive Concept Aggregation for Few-shot Visual Recognition. - Mengya Han; Yibing Zhan; Baosheng Yu; Yong Luo 002; Han Hu 003; Bo Du 001; Yonggang Wen 001; Dacheng Tao (Mach. Intell. Res., 2023)

Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Learning. - Zhiwei Hao 001; Guanyu Xu; Yong Luo 002; Han Hu 003; Jianping An; Shiwen Mao (IEEE Trans. Mob. Comput., 2023)

Decomposing Semantic Shifts for Composed Image Retrieval. - Xingyu Yang; Daqing Liu; Heng Zhang; Yong Luo 002; Chaoyue Wang; Jing Zhang 037 (AAAI, 2024)

Cycle Self-Refinement for Multi-Source Domain Adaptation. - Chaoyang Zhou; Zengmao Wang; Bo Du 001; Yong Luo 002 (AAAI, 2024)

OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models. - Shuai Wang 011; Liang Ding 006; Li Shen 008; Yong Luo 002; Bo Du 001; Dacheng Tao (ACL (Findings), 2024)

Improving Generalized Zero-Shot Learning by Exploring the Diverse Semantics from External Class Names. - Yapeng Li; Yong Luo 002; Zengmao Wang; Bo Du 001 (CVPR, 2024)

Parameter-Efficient Multi-Task Model Fusion with Partial Linearization. - Anke Tang; Li Shen 008; Yong Luo 002; Yibing Zhan; Han Hu 003; Bo Du 001; Yixin Chen 001; Dacheng Tao (ICLR, 2024)

Training-Free Robust Neural Network Search Via Pruning. - Qiancheng Yang; Yong Luo 002; Bo Du 001 (ICME, 2024)

Merging Multi-Task Models via Weight-Ensembling Mixture of Experts. - Anke Tang; Li Shen 008; Yong Luo 002; Nan Yin; Lefei Zhang; Dacheng Tao (ICML, 2024)

Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases. - Ziyi Zhang 001; Sen Zhang 006; Yibing Zhan; Yong Luo 002; Yonggang Wen 001; Dacheng Tao (ICML, 2024)

Eliminating the Cross-Domain Misalignment in Text-guided Image Inpainting. - Muqi Huang; Chaoyue Wang; Yong Luo 002; Lefei Zhang (IJCAI, 2024)

Zero-shot Learning for Preclinical Drug Screening. - Kun Li 009; Weiwei Liu 003; Yong Luo 002; Xiantao Cai; Jia Wu 001; Wenbin Hu 001 (IJCAI, 2024)

Joint Input and Output Coordination for Class-Incremental Learning. - Shuai Wang 011; Yibing Zhan; Yong Luo 002; Han Hu 003; Wei Yu 004; Yonggang Wen 001; Dacheng Tao (IJCAI, 2024)

PrimKD: Primary Modality Guided Multimodal Fusion for RGB-D Semantic Segmentation. - Zhiwei Hao 001; Zhongyu Xiao; Yong Luo 002; Jianyuan Guo; Jing Wang 055; Li Shen 008; Han Hu 003 (ACM Multimedia, 2024)

WisdoM: Improving Multimodal Sentiment Analysis by Fusing Contextual World Knowledge. - Wenbin Wang; Liang Ding 006; Li Shen 008; Yong Luo 002; Han Hu 003; Dacheng Tao (ACM Multimedia, 2024)

Multi-Granularity Hand Action Detection. - Ting Zhe; Jing Zhang 037; Yongqian Li; Yong Luo 002; Han Hu 003; Dacheng Tao (ACM Multimedia, 2024)

MMSite: A Multi-modal Framework for the Identification of Active Sites in Proteins. - Song Ouyang; Huiyu Cai; Yong Luo 002; Kehua Su; Lefei Zhang; Bo Du 001 (NeurIPS, 2024)

MG-Net: Learn to Customize QAOA with Circuit Depth Awareness. - Yang Qian; Xinbiao Wang; Yuxuan Du; Yong Luo 002; Dacheng Tao (NeurIPS, 2024)

Decomposed Prompt Decision Transformer for Efficient Unseen Task Generalization. - Hongling Zheng; Li Shen 008; Yong Luo 002; Tongliang Liu; Jialie Shen 001; Dacheng Tao (NeurIPS, 2024)

Separable Power of Classical and Quantum Learning Protocols Through the Lens of No-Free-Lunch Theorem. - Xinbiao Wang; Yuxuan Du; Kecheng Liu; Yong Luo 002; Bo Du 001; Dacheng Tao (CoRR, 2024)

FusionBench: A Comprehensive Benchmark of Deep Model Fusion. - Anke Tang; Li Shen 008; Yong Luo 002; Han Hu 003; Bo Du 001; Dacheng Tao (CoRR, 2024)

Towards Efficient Pareto Set Approximation via Mixture of Experts Based Model Fusion. - Anke Tang; Li Shen 008; Yong Luo 002; Shiwei Liu 003; Han Hu 003; Bo Du 001 (CoRR, 2024)

SMILE: Zero-Shot Sparse Mixture of Low-Rank Experts Construction From Pre-Trained Foundation Models. - Anke Tang; Li Shen 008; Yong Luo 002; Shuai Xie; Han Hu 003; Lefei Zhang; Bo Du 001; Dacheng Tao (CoRR, 2024)

Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models. - Wenbin Wang; Liang Ding 006; Minyan Zeng; Xiabin Zhou; Li Shen 008; Yong Luo 002; Dacheng Tao (CoRR, 2024)

USCD: Improving Code Generation of LLMs by Uncertainty-Aware Selective Contrastive Decoding. - Shuai Wang 011; Liang Ding 006; Li Shen 008; Yong Luo 002; Zheng He; Wei Yu 004; Dacheng Tao (CoRR, 2024)

Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging. - Li Shen 008; Anke Tang; Enneng Yang; Guibing Guo; Yong Luo 002; Lefei Zhang; Xiaochun Cao; Bo Du 001; Dacheng Tao (CoRR, 2024)

Aligning Few-Step Diffusion Models with Dense Reward Difference Learning. - Ziyi Zhang 001; Li Shen 008; Sen Zhang 006; Deheng Ye; Yong Luo 002; Miaojing Shi; Bo Du 001; Dacheng Tao (CoRR, 2024)

MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification. - Yapeng Li; Yong Luo 002; Lefei Zhang; Zengmao Wang; Bo Du 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

UVaT: Uncertainty Incorporated View-Aware Transformer for Robust Multi-View Classification. - Yapeng Li; Yong Luo 002; Bo Du 001 (IEEE Trans. Image Process., 2024)

Textual Enhanced Adaptive Meta-Fusion for Few-Shot Visual Recognition. - Mengya Han; Yibing Zhan; Yong Luo 002; Han Hu 003; Kehua Su; Bo Du 001 (IEEE Trans. Multim., 2024)

Not All Instances Contribute Equally: Instance-Adaptive Class Representation Learning for Few-Shot Visual Recognition. - Mengya Han; Yibing Zhan; Yong Luo 002; Bo Du 001; Han Hu 003; Yonggang Wen 001; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2024)

DeViT: Decomposing Vision Transformers for Collaborative Inference in Edge Devices. - Guanyu Xu; Zhiwei Hao 001; Yong Luo 002; Han Hu 003; Jianping An; Shiwen Mao (IEEE Trans. Mob. Comput., 2024)

Foundation models matter: federated learning for multi-center tuberculosis diagnosis via adaptive regularization and model-contrastive learning. - Chang Liu 046; Yong Luo 002; Yongchao Xu; Bo Du 001 (World Wide Web (WWW), 2024)

HPFL: hyper-network guided personalized federated learning for multi-center tuberculosis chest x-ray diagnosis. - Chang Liu 046; Yong Luo 002; Yongchao Xu; Bo Du 001 (Multim. Tools Appl., 2024)

Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models. - Wenbin Wang; Liang Ding 006; Minyan Zeng; Xiabin Zhou; Li Shen 008; Yong Luo 002; Wei Yu 004; Dacheng Tao (AAAI, 2025)

MTGA: Multi-View Temporal Granularity Aligned Aggregation for Event-Based Lip-Reading. - Wenhao Zhang; Jun Wang; Yong Luo 002; Lei Yu; Wei Yu 004; Zheng He; Jialie Shen 001 (AAAI, 2025)

ELBA-Bench: An Efficient Learning Backdoor Attacks Benchmark for Large Language Models. - Xuxu Liu; Siyuan Liang; Mengya Han; Yong Luo 002; Aishan Liu; Xiantao Cai; Zheng He; Dacheng Tao (ACL (1), 2025)

Enhancing Multimodal Chain-of-Thought Reasoning with Tree-Searched Self-Training. - Yiwen Luo; Tao Wei; Yong Luo 002; Zengmao Wang (ICME, 2025)

Open-Vocabulary Fine-Grained Hand Action Detection. - Ting Zhe; Mengya Han; Xiaoshuai Hao; Yong Luo 002; Zheng He; Xiantao Cai; Jing Zhang 037 (IJCAI, 2025)

Anatomy-Conserving Unpaired CBCT-to-CT Translation via Schrödinger Bridge. - Ke Shi; Song Ouyang; Gang Liu; Yong Luo 002; Kehua Su; Zhiwen Liang; Bo Du 001 (MICCAI (4), 2025)

Dual-splitting conformal prediction for multi-step time series forecasting. - Qingdi Yu; Zhiwei Cao; Ruihang Wang; Zhen Yang 012; Lijun Deng; Min Hu; Yong Luo 002; Xin Zhou 003 (Appl. Soft Comput., 2025)

M3Site: multiclass multimodal learning for protein active site identification and classification. - Song Ouyang; Yong Luo 002; Huiyu Cai; Kehua Su; Fei Liao; Na Zhan; Huangxuan Zhao; Tailang Yin; Lin Zhao; Dongjing Shan (Briefings Bioinform., 2025)

DoseNet: Dose-adaptive prediction of the parotid glands deformation for radiotherapy planning. - Bohan Yang 008; Yong Luo 002; Bo Du 001; Dongjing Shan; Chuan Cheng; Gang Liu; Jun Zhang; Jingnan Liu (Image Vis. Comput., 2025)

Learning from models beyond fine-tuning. - Hongling Zheng; Li Shen 008; Anke Tang; Yong Luo 002; Han Hu 003; Bo Du 001; Yonggang Wen 001; Dacheng Tao (Nat. Mac. Intell., 2025)

PartSeg: Few-shot part segmentation via part-aware prompt learning. - Mengya Han; Heliang Zheng; Chaoyue Wang; Yong Luo 002; Han Hu 003; Jing Zhang 037; Bo Du 001 (Pattern Recognit., 2025)

Leveraging Metamemory Mechanisms for Enhanced Data-Free Code Generation in LLMs. - Shuai Wang 011; Liang Ding 006; Yibing Zhan; Yong Luo 002; Zheng He; Dapeng Tao (CoRR, 2025)

Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging. - Anke Tang; Enneng Yang; Li Shen 008; Yong Luo 002; Han Hu 003; Bo Du 001; Dacheng Tao (CoRR, 2025)

P3ID: A Privacy-Preserving Person Identification Framework Towards Multi-Environments Based on Transfer Learning. - Hanxiang He; Xintao Huan; Jing Wang 055; Yong Luo 002; Han Hu 003; Jianping An (IEEE Trans. Mob. Comput., 2025)

Retrieval-Augmented Perception: High-Resolution Image Perception Meets Visual RAG. - Wenbin Wang; Yongcheng Jing; Liang Ding 006; Yingjie Wang; Li Shen 008; Yong Luo 002; Bo Du 001; Dacheng Tao (CoRR, 2025)

ViF-SD2E: a robust weakly-supervised framework for neural decoding. - Jingyi Feng; Yong Luo 002; Shuang Song; Han Hu 003 (Neural Comput. Appl., 2025)

AnesBench: Multi-Dimensional Evaluation of LLM Reasoning in Anesthesiology. - Xiang Feng; Wentao Jiang; Zengmao Wang; Yong Luo 002; Pingbo Xu; Baosheng Yu; Hua Jin; Bo Du 001; Jing Zhang 037 (CoRR, 2025)

MHR: A Multi-Modal Hyperbolic Representation Framework for Fake News Detection. - Shanshan Feng 001; Guoxin Yu; Dawei Liu; Han Hu 003; Yong Luo 002; Hui Lin; Yew-Soon Ong (IEEE Trans. Knowl. Data Eng., 2025)

Federated Learning With Only Positive Labels by Exploring Label Correlations. - Xuming An; Dui Wang; Li Shen 008; Yong Luo 002; Han Hu 003; Bo Du 001; Yonggang Wen 001; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2025)

Low-Precision Training of Large Language Models: Methods, Challenges, and Opportunities. - Zhiwei Hao 001; Jianyuan Guo; Li Shen 008; Yong Luo 002; Han Hu 003; Guoxia Wang; Dianhai Yu; Yonggang Wen 001; Dacheng Tao (CoRR, 2025)

Refining Few-Step Text-to-Multiview Diffusion via Reinforcement Learning. - Ziyi Zhang 001; Li Shen 008; Deheng Ye; Yong Luo 002; Huangxuan Zhao; Lefei Zhang (CoRR, 2025)

SRD: Reinforcement-Learned Semantic Perturbation for Backdoor Defense in VLMs. - Shuhan Xu; Siyuan Liang; Hongling Zheng; Yong Luo 002; Aishan Liu; Dacheng Tao (CoRR, 2025)

Unsupervised deep learning model for fast energy layer pre-selection of delivery-efficient proton arc therapy plan optimization of nasopharyngeal carcinoma. - Bohan Yang 008; Gang Liu; Rirao Dao; Yujia Qian; Ke Shi; Anke Tang; Yong Luo 002; Jingnan Liu (CoRR, 2025)

Rethinking Visual Token Reduction in LVLMs under Cross-modal Misalignment. - Rui Xu 031; Yunke Wang; Yong Luo 002; Bo Du 001 (CoRR, 2025)

Demonstration of Efficient Predictive Surrogates for Large-scale Quantum Processors. - Wei-You Liao; Yuxuan Du; Xinbiao Wang; Tian-Ci Tian; Yong Luo 002; Bo Du 001; Dacheng Tao; He-Liang Huang (CoRR, 2025)

REX-RAG: Reasoning Exploration with Policy Correction in Retrieval-Augmented Generation. - Wentao Jiang; Xiang Feng; Zengmao Wang; Yong Luo 002; Pingbo Xu; Zhe Chen 013; Bo Du 001; Jing Zhang 037 (CoRR, 2025)

ADEM-VL: Adaptive and Embedded Fusion for Efficient Vision-Language Tuning. - Zhiwei Hao 001; Jianyuan Guo; Li Shen 008; Yong Luo 002; Han Hu 003; Yonggang Wen 001 (Int. J. Comput. Vis., 2025)

Data-Adaptive Weight-Ensembling for Multi-task Model Fusion. - Anke Tang; Li Shen 008; Yong Luo 002; Shiwei Liu 003; Han Hu 003; Bo Du 001; Dacheng Tao (Int. J. Comput. Vis., 2025)

Fuzzy-Assisted Contrastive Decoding Improving Code Generation of Large Language Models. - Shuai Wang 011; Liang Ding 006; Yibing Zhan; Yong Luo 002; Shuai Liu 002; Weiping Ding 001 (IEEE Trans. Fuzzy Syst., 2025)

A Multi-Language Object-Oriented Programming Benchmark for Large Language Models. - Shuai Wang 011; Liang Ding 006; Li Shen 008; Yong Luo 002; Han Hu 003; Lefei Zhang; Fu Lin (CoRR, 2025)

Sequential Federated Learning in Hierarchical Architecture on Non-IID Datasets. - Xingrun Yan; Shiyuan Zuo; Rongfei Fan; Han Hu 003; Li Shen 008; Puning Zhao; Yong Luo 002 (IEEE Trans. Mob. Comput., 2025)

DM-PCL: Text-Driven Dual-Modal Prototype Consistency Learning for Weakly-Supervised Few-Shot Part Segmentation. - Mengya Han; Yong Luo 002; Han Hu 003; Zengmao Wang; Lefei Zhang; Bo Du 001; Ling-Yu Duan; Dacheng Tao (Int. J. Comput. Vis., 2025)

Aligning Text-to-Image Diffusion Models With Constrained Reinforcement Learning. - Ziyi Zhang 001; Sen Zhang 006; Li Shen 008; Yibing Zhan; Yong Luo 002; Han Hu 003; Bo Du 001; Yonggang Wen 001; Dacheng Tao (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

CoFormer: Collaborating With Heterogeneous Edge Devices for Scalable Transformer Inference. - Guanyu Xu; Zhiwei Hao 001; Li Shen 008; Yong Luo 002; Fuhui Sun; Xiaoyan Wang; Han Hu 003; Yonggang Wen 001 (IEEE Trans. Computers, 2025)

Towards to real world vehicle privacy protection: A new dataset and benchmark. - Jiayi Lin 010; Chengming Zou; Long Lan; Yong Luo 002; Yue Yu 001; Yaowei Wang 001; Wei Zeng 006; Yonghong Tian 001 (Pattern Recognit., 2026)