A Novel Region-Based Image Retrieval Algorithm Using Selective Visual Attention Model. - Songhe Feng; De Xu; Xu Yang 001; Aimin Wu (ACIVS, 2005)

Locating Salient Edges for CBIR Based on Visual Attention Model. - Songhe Feng; De Xu (ICNC (1), 2006)

A Novel Graph Kernel Based SVM Algorithm for Image Semantic Retrieval. - Songhe Feng; De Xu; Xu Yang 001; Yuliang Geng (ISNN (2), 2006)

Two Important Action Scenes Detection Based on Probability Neural Networks. - Yuliang Geng; De Xu; Jia-Zheng Yuan; Songhe Feng (ISNN (2), 2006)

Perceptual Depth Estimation from a Single 2D Image Based on Visual Perception Theory. - Bing Li 001; De Xu; Songhe Feng; Aimin Wu; Xu Yang 001 (PCM, 2006)

Hierarchical Video Summarization Based on Video Structure and Highlight. - Yuliang Geng; De Xu; Songhe Feng (SSPR/SPR, 2006)

A Robust and Hierarchical Approach for Camera Motion Classification. - Yuliang Geng; De Xu; Songhe Feng; Jia-Zheng Yuan (SSPR/SPR, 2006)

Visual Perception Theory Guided Depth Motion Estimation. - Bing Li 001; De Xu; Songhe Feng; Fangshi Wang (MMM (1), 2007)

A Multi-Scale Adaptive Grey World Algorithm. - Bing Li 001; De Xu; Moon Ho Lee; Songhe Feng (IEICE Trans. Inf. Syst., 2007)

Combining Attention Model with Hierarchical Graph Representation for Region-Based Image Retrieval. - Songhe Feng; De Xu; Bing Li 001 (IEICE Trans. Inf. Syst., 2008)

Salient region extraction based on Intensity Mapping for image retrieval. - Congyan Lang; De Xu; Ning Li; Songhe Feng (SMC, 2009)

Beyond tag relevance: integrating visual attention model and multi-instance learning for tag saliency ranking. - Songhe Feng; Congyan Lang; De Xu (CIVR, 2010)

Transductive Multi-Instance Multi-Label learning algorithm with application to automatic image annotation. - Songhe Feng; De Xu (Expert Syst. Appl., 2010)

Discriminating Semantic Visual Words for Scene Classification. - Shuoyan Liu; De Xu; Songhe Feng (IEICE Trans. Inf. Syst., 2010)

Attention-driven salient edge(s) and region(s) extraction with application to CBIR. - Songhe Feng; De Xu; Xu Yang 001 (Signal Process., 2010)

Supervised Sparse Patch Coding towards Misalignment-Robust Face Recognition. - Congyan Lang; Bin Cheng; Songhe Feng; Xiao-Tong Yuan (ICIG, 2011)

Region Contextual Visual Words for scene categorization. - Shuoyan Liu; De Xu; Songhe Feng (Expert Syst. Appl., 2011)

A Novel Saliency-Based Graph Learning Framework with Application to CBIR. - Hong Bao; Songhe Feng; De Xu; Shuoyan Liu (IEICE Trans. Inf. Syst., 2011)

Scene Categorization with Classified Codebook Model. - Xu Yang 001; De Xu; Songhe Feng; Yingjun Tang; Shuoyan Liu (IEICE Trans. Inf. Syst., 2011)

Combining visual attention model with multi-instance learning for tag ranking. - Songhe Feng; Hong Bao; Congyan Lang; De Xu (Neurocomputing, 2011)

Towards relevance and saliency ranking of image tags. - Songhe Feng; Congyan Lang; Bing Li 001 (ACM Multimedia, 2012)

Scaring or pleasing: exploit emotional impact of an image. - Bing Li 001; Songhe Feng; Weihua Xiong; Weiming Hu 004 (ACM Multimedia, 2012)

A unified supervised codebook learning framework for classification. - Congyan Lang; Songhe Feng; Bing Cheng; Bingbing Ni; Shuicheng Yan (Neurocomputing, 2012)

Personalized image recommendation and retrieval via latent SVM based model. - Jie Sun; Songhe Feng; Wen Wang; Congyan Lang (ICIMCS, 2013)

Contextualizing Tag Ranking and Saliency Detection for Social Images. - Wen Wang; Congyan Lang; Songhe Feng (MMM (2), 2013)

A Self-immunizing Manifold Ranking for Image Retrieval. - Jun Wu 007; Yidong Li; Songhe Feng; Hong Shen 001 (PAKDD (2), 2013)

A novel image tag saliency ranking algorithm based on sparse representation. - Caixia Wang; Zehai Song; Songhe Feng; Congyan Lang; Shuicheng Yan (VCIP, 2013)

Sample specific late fusion for saliency detection. - Jie Sun; Congyan Lang; Songhe Feng (WIAMIS, 2013)

Adaptive all-season image tag ranking by saliency-driven image pre-classification. - Songhe Feng; Congyan Lang; Hongzhe Liu; Xiankai Huang (J. Vis. Commun. Image Represent., 2013)

Supervised sparse patch coding towards misalignment-robust face recognition. - Congyan Lang; Songhe Feng; Bin Chen; Xiaotong Yuan (J. Vis. Commun. Image Represent., 2013)

Image Tag Completion by Noisy Matrix Recovery. - Zheyun Feng; Songhe Feng; Rong Jin 001; Anil K. Jain 001 (ECCV (7), 2014)

Depth Information Fused Salient Object Detection. - Fangfang Chen; Congyan Lang; Songhe Feng; Zehai Song (ICIMCS, 2014)

Joint Tree of Combinatorial Maps. - Tao Wang 011; Congyan Lang; Songhe Feng (PAKDD Workshops, 2014)

Hierarchical sparse representation based Multi-Instance Semi-Supervised Learning with application to image categorization. - Songhe Feng; Weihua Xiong; Bing Li 001; Congyan Lang; Xiankai Huang (Signal Process., 2014)

Vehicle detection and classification based on convolutional neural network. - Dongmei He; Congyan Lang; Songhe Feng; Xuetao Du; Chen Zhang (ICIMCS, 2015)

A general method for sensitive identification detection in the terrorist video. - Xiaoyuan Luo; Songhe Feng; Congyan Lang; Xuetao Du; Chen Zhang (ICIMCS, 2015)

Facial Age Estimation Based on Structured Low-rank Representation. - Chenjing Yan; Congyan Lang; Songhe Feng (ACM Multimedia, 2015)

An error-tolerant approximate matching algorithm for labeled combinatorial maps. - Tao Wang 011; Hua Yang; Congyan Lang; Songhe Feng (Neurocomputing, 2015)

互联网社群图像标签排序研究进展 (Advances in Tag Ranking for Internet Social Images). - Yanzhang Wu; Hongzhe Liu; Songhe Feng; Jiazheng Yuan; Jingyi Zhang (计算机科学, 2015)

Learning to Rank Image Tags With Limited Training Examples. - Songhe Feng; Zheyun Feng; Rong Jin 001 (IEEE Trans. Image Process., 2015)

From sample selection to model update: A robust online visual tracking algorithm against drifting. - Zhu Teng; Tao Wang 011; Feng Liu; Dong-Joong Kang; Congyan Lang; Songhe Feng (Neurocomputing, 2016)

Symmetry-aware graph matching. - Tao Wang 011; Haibin Ling; Congyan Lang; Songhe Feng (Pattern Recognit., 2016)

Dual Low-Rank Pursuit: Learning Salient Features for Saliency Detection. - Congyan Lang; Jiashi Feng; Songhe Feng; Jingdong Wang 001; Shuicheng Yan (IEEE Trans. Neural Networks Learn. Syst., 2016)

Robust Object Tracking Based on Temporal and Spatial Deep Networks. - Zhu Teng; Junliang Xing; Qiang Wang 051; Congyan Lang; Songhe Feng; Yi Jin 001 (ICCV, 2017)

Two Birds With One Stone: A Unified Approach to Saliency and Co-Saliency Detection via Multi-Instance Learning. - Honglin Quan; Songhe Feng; Baifan Chen (IEEE Access, 2017)

Human Facial Age Estimation by Cost-Sensitive Label Ranking and Trace Norm Regularization. - Songhe Feng; Congyan Lang; Jiashi Feng; Tao Wang 011; Jiebo Luo 001 (IEEE Trans. Multim., 2017)

Reasonably Assign Label Distributions to GAN Images in Person Re-Identification Baseline. - Kunhong Yu; Congyan Lang; Songhe Feng; Tao Wang 011 (BigMM, 2018)

Partial label learning via low rank representation and label propagation. - Wenying Huang; Songhe Feng; Lijuan Sun; Congyan Lang (ICIMCS, 2018)

A framework with a multi-task CNN model joint with a re-ranking method for vehicle re-identification. - Dongwu Xu; Congyan Lang; Songhe Feng; Tao Wang 011 (ICIMCS, 2018)

Constrained Confidence Matching for Planar Object Tracking. - Tao Wang 011; Haibin Ling; Congyan Lang; Songhe Feng; Yi Jin 001; Yidong Li (ICRA, 2018)

Hierarchical Discriminant Feature Learning for Heterogeneous Face Recognition. - Xiaolin Xu; Yidong Li; Yi Jin 001; Congyan Lang; Songhe Feng; Tao Wang 011 (VCIP, 2018)

A Self-paced Regularization Framework for Partial-Label Learning. - Gengyu Lyu; Songhe Feng; Congyan Lang (CoRR, 2018)

Graph-based visual odometry for VSLAM. - Shaoyan Xu; Tao Wang 011; Congyan Lang; Songhe Feng; Yi Jin 001 (Ind. Robot, 2018)

Saliency ranker: A new salient object detection method. - Zun Li 001; Congyan Lang; Songhe Feng; Tao Wang 011 (J. Vis. Commun. Image Represent., 2018)

A novel hypergraph matching algorithm based on tensor refining. - Jun Zhou; Tao Wang 011; Congyan Lang; Songhe Feng; Yi Jin 001 (J. Vis. Commun. Image Represent., 2018)

Graph regularized low-rank feature mapping for multi-label learning with application to image annotation. - Songhe Feng; Congyan Lang (Multidimens. Syst. Signal Process., 2018)

Graph Matching with Adaptive and Branching Path Following. - Tao Wang 011; Haibin Ling; Congyan Lang; Songhe Feng (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Partial Multi-Label Learning by Low-Rank and Sparse Decomposition. - Lijuan Sun; Songhe Feng; Tao Wang 011; Congyan Lang; Yi Jin 001 (AAAI, 2019)

Deformable Surface Tracking by Graph Matching. - Tao Wang 011; Haibin Ling; Congyan Lang; Songhe Feng; Xiaohui Hou (ICCV, 2019)

Deep Domain Adaptation for Asian Face Recognition via Ada-IBN. - Chen Qian; Yi Jin 001; Yidong Li; Congyan Lang; Songhe Feng; Tao Wang 011 (ICME Workshops, 2019)

Robust Semi-supervised Multi-label Learning by Triple Low-Rank Regularization. - Lijuan Sun; Songhe Feng; Gengyu Lyu; Congyan Lang (PAKDD (2), 2019)

MFAD: A Multi-modality Face Anti-spoofing Dataset. - Bingqian Geng; Congyan Lang; Junliang Xing; Songhe Feng; Jun Wu 007 (PRICAI (2), 2019)

Domain Adaptive Attention Model for Unsupervised Cross-Domain Person Re-Identification. - Yangru Huang; Peixi Peng; Yi Jin 001; Junliang Xing; Congyan Lang; Songhe Feng (CoRR, 2019)

General structured sparse learning for human facial age estimation. - Yanan Dong; Congyan Lang; Songhe Feng (Multim. Syst., 2019)

Semi-supervised dual low-rank feature mapping for multi-label image annotation. - Xiaoying Wang; Songhe Feng; Congyan Lang (Multim. Tools Appl., 2019)

Recurrent convolutional network for video-based smoke detection. - Mengxia Yin; Congyan Lang; Zun Li 001; Songhe Feng; Tao Wang 011 (Multim. Tools Appl., 2019)

Co-saliency Detection with Graph Matching. - Zun Li 001; Congyan Lang; Jiashi Feng; Yidong Li; Tao Wang 011; Songhe Feng (ACM Trans. Intell. Syst. Technol., 2019)

Attentive Generative Adversarial Network To Bridge Multi-Domain Gap For Image Synthesis. - Min Wang; Congyan Lang; Liqian Liang; Gengyu Lyu; Songhe Feng; Tao Wang 011 (ICME, 2020)

HSS-GCN: A Hierarchical Spatial Structural Graph Convolutional Network for Vehicle Re-identification. - Zheming Xu; Lili Wei; Congyan Lang; Songhe Feng; Tao Wang 011; Adrian G. Bors (ICPR Workshops (5), 2020)

Partial Multi-Label Learning via Multi-Subspace Representation. - Ziwei Li; Gengyu Lyu; Songhe Feng (IJCAI, 2020)

Partial Multi-Label Learning via Probabilistic Graph Matching Mechanism. - Gengyu Lyu; Songhe Feng; Yidong Li (KDD, 2020)

Partial Label Learning via Self-Paced Curriculum Strategy. - Gengyu Lyu; Songhe Feng; Yi Jin 001; Yidong Li (ECML/PKDD (2), 2020)

Partial Label Learning via Subspace Representation and Global Disambiguation. - Yue Sun; Gengyu Lyu; Songhe Feng (ECML/PKDD (2), 2020)

EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT Denoising. - Tengfei Liang; Yi Jin 001; Yidong Li; Tao Wang 011; Songhe Feng; Congyan Lang (CoRR, 2020)

Subgraph and object context-masked network for scene graph generation. - ZhenXing Zheng; Zhendong Li; Gaoyun An; Songhe Feng (IET Comput. Vis., 2020)

Weakly-supervised multi-label learning with noisy features and incomplete labels. - Lijuan Sun; Ping Ye; Gengyu Lyu; Songhe Feng; Guojun Dai; Hua Zhang (Neurocomputing, 2020)

Improving person re-identification via attribute-identity representation and visual attention mechanism. - Honglin Quan; Songhe Feng; Congyan Lang; Baifan Chen (Multim. Tools Appl., 2020)

Partial label learning via low-rank representation and label propagation. - Gengyu Lyu; Songhe Feng; Wenying Huang; Guojun Dai; Hua Zhang; Baifan Chen (Soft Comput., 2020)

HERA: Partial Label Learning by Combining Heterogeneous Loss with Sparse and Low-Rank Regularization. - Gengyu Lyu; Songhe Feng; Yidong Li; Yi Jin 001; Guojun Dai; Congyan Lang (ACM Trans. Intell. Syst. Technol., 2020)

End-to-End Text-to-Image Synthesis with Spatial Constrains. - Min Wang; Congyan Lang; Liqian Liang; Songhe Feng; Tao Wang 011; Yutong Gao 001 (ACM Trans. Intell. Syst. Technol., 2020)

Learning part-alignment feature for person re-identification with spatial-temporal-based re-ranking method. - Zhongyi Li; Yi Jin 001; Yidong Li; Congyan Lang; Songhe Feng; Tao Wang 011 (World Wide Web, 2020)

GM-MLIC: Graph Matching based Multi-Label Image Classification. - Yanan Wu; He Liu; Songhe Feng; Yi Jin 001; Gengyu Lyu; Zizhang Wu (IJCAI, 2021)

Multiple Semantic Embedding with Graph Convolutional Networks for Multi-Label Image Classification. - Tong Zhou; Songhe Feng (PRCV (2), 2021)

Beyond missing: weakly-supervised multi-label learning with incomplete and noisy labels. - Lijuan Sun; Gengyu Lyu; Songhe Feng; Xiankai Huang (Appl. Intell., 2021)

A Universal Model for Cross Modality Mapping by Relational Reasoning. - Zun Li 001; Congyan Lang; Liqian Liang; Tao Wang 011; Songhe Feng; Jun Wu 007; Yidong Li (CoRR, 2021)

CMTR: Cross-modality Transformer for Visible-infrared Person Re-identification. - Tengfei Liang; Yi Jin 001; Yajun Gao; Wu Liu; Songhe Feng; Tao Wang 011; Yidong Li (CoRR, 2021)

Class-Balanced Text to Image Synthesis With Attentive Generative Adversarial Network. - Min Wang; Congyan Lang; Liqian Liang; Gengyu Lyu; Songhe Feng; Tao Wang 011 (IEEE Multim., 2021)

L4Net: An anchor-free generic object detector with attention mechanism for autonomous driving. - Yanan Wu; Songhe Feng; Xiankai Huang; Zizhang Wu (IET Comput. Vis., 2021)

Noisy label tolerance: A new perspective of Partial Multi-Label Learning. - Gengyu Lyu; Songhe Feng; Yidong Li (Inf. Sci., 2021)

Text to photo-realistic image synthesis via chained deep recurrent generative adversarial network. - Min Wang; Congyan Lang; Songhe Feng; Tao Wang 011; Yi Jin 001; Yidong Li (J. Vis. Commun. Image Represent., 2021)

Partial multi-label learning with noisy side information. - Lijuan Sun; Songhe Feng; Gengyu Lyu; Hua Zhang; Guojun Dai (Knowl. Inf. Syst., 2021)

Fine-Grained Facial Expression Recognition in the Wild. - Liqian Liang; Congyan Lang; Yidong Li; Songhe Feng; Jian Zhao 006 (IEEE Trans. Inf. Forensics Secur., 2021)

Fine-Grained Semantic Image Synthesis with Object-Attention Generative Adversarial Network. - Min Wang; Congyan Lang; Liqian Liang; Songhe Feng; Tao Wang 011; Yutong Gao 001 (ACM Trans. Intell. Syst. Technol., 2021)

GM-PLL: Graph Matching Based Partial Label Learning. - Gengyu Lyu; Songhe Feng; Tao Wang 011; Congyan Lang; Yidong Li (IEEE Trans. Knowl. Data Eng., 2021)

Beyond Shared Subspace: A View-Specific Fusion for Multi-View Multi-Label Learning. - Gengyu Lyu; Xiang Deng; Yanan Wu; Songhe Feng (AAAI, 2022)

Deep Graph Matching for Partial Label Learning. - Gengyu Lyu; Yanan Wu; Songhe Feng (IJCAI, 2022)

Keypoint-Guided Modality-Invariant Discriminative Learning for Visible-Infrared Person Re-identification. - Tengfei Liang; Yi Jin 001; Wu Liu; Songhe Feng; Tao Wang 011; Yidong Li (ACM Multimedia, 2022)

Task Adaptive Modeling for Few-shot Action Recognition. - Jiayi Wang; Yi Jin 001; Songhe Feng; Yidong Li (MMSP, 2022)

Joint Original Space and Latent Space for Multi-view Spectral Clustering. - Ruiting Hu; Zhibin Gu; Songhe Feng (PAAP, 2022)

Graph-based Multi-view Partial Multi-label Learning. - Wei Liu 207; Songhe Feng; Hui Tian (PAAP, 2022)

Incomplete multi-view partial multi-label learning. - Xinyuan Liu; Lijuan Sun; Songhe Feng (Appl. Intell., 2022)

Partial label learning with noisy side information. - Shaokai Wang; Mingxuan Xia; Zilong Wang; Gengyu Lyu; Songhe Feng (Appl. Intell., 2022)

Linear neighborhood reconstruction constrained latent subspace discovery for incomplete multi-view clustering. - Jianguo Zhao; Gengyu Lyu; Songhe Feng (Appl. Intell., 2022)

Deep Probabilistic Graph Matching. - He Liu; Tao Wang 011; Yidong Li; Congyan Lang; Songhe Feng; Haibin Ling (CoRR, 2022)

Dwarfism computer-aided diagnosis algorithm based on multimodal pyradiomics. - Shi Qiu 002; Yi Jin 001; Songhe Feng; Tao Zhou 009; Yidong Li (Inf. Fusion, 2022)

Pedestrian attribute recognition based on attribute correlation. - Ruijie Zhao 007; Congyan Lang; Zun Li 001; Liqian Liang; Lili Wei; Songhe Feng; Tao Wang 011 (Multim. Syst., 2022)

Object detection by crossing relational reasoning based on graph neural network. - XiuTing You; He Liu; Tao Wang 011; Songhe Feng; Congyan Lang (Mach. Vis. Appl., 2022)

Fine-grained facial expression recognition via relational reasoning and hierarchical relation optimization. - Yichen Zhu; Lili Wei; Congyan Lang; Siyu Li; Songhe Feng; Yidong Li (Pattern Recognit. Lett., 2022)

Dense Attentive Feature Enhancement for Salient Object Detection. - Zun Li 001; Congyan Lang; Liqian Liang; Jian Zhao 006; Songhe Feng; Qibin Hou; Jiashi Feng (IEEE Trans. Circuits Syst. Video Technol., 2022)

A Self-Paced Regularization Framework for Partial-Label Learning. - Gengyu Lyu; Songhe Feng; Tao Wang 011; Congyan Lang (IEEE Trans. Cybern., 2022)

Weakly Supervised Video Object Segmentation via Dual-attention Cross-branch Fusion. - Lili Wei; Congyan Lang; Liqian Liang; Songhe Feng; Tao Wang 011; Shidi Chen (ACM Trans. Intell. Syst. Technol., 2022)

Global-Local Label Correlation for Partial Multi-Label Learning. - Lijuan Sun; Songhe Feng; Jun Liu 036; Gengyu Lyu; Congyan Lang (IEEE Trans. Multim., 2022)

Seeing Crucial Parts: Vehicle Model Verification via a Discriminative Representation Model. - Liqian Liang; Congyan Lang; Zun Li 001; Jian Zhao 006; Tao Wang 011; Songhe Feng (ACM Trans. Multim. Comput. Commun. Appl., 2022)

MetaZSCIL: A Meta-Learning Approach for Generalized Zero-Shot Class Incremental Learning. - Yanan Wu; Tengfei Liang; Songhe Feng; Yi Jin 001; Gengyu Lyu; Haojun Fei; Yang Wang 003 (AAAI, 2023)

Anchor Structure Regularization Induced Multi-view Subspace Clustering via Enhanced Tensor Rank Minimization. - Jintian Ji; Songhe Feng (ICCV, 2023)

MetaGCD: Learning to Continually Learn in Generalized Category Discovery. - Yanan Wu; Zhixiang Chi; Yang Wang 003; Songhe Feng (ICCV, 2023)

Deep Partial Multi-Label Learning with Graph Disambiguation. - Haobo Wang 001; Shisong Yang; Gengyu Lyu; Weiwei Liu 003; Tianlei Hu; Ke Chen 005; Songhe Feng; Gang Chen 001 (IJCAI, 2023)

High-order Complementarity Induced Fast Multi-View Clustering with Enhanced Tensor Rank Minimization. - Jintian Ji; Songhe Feng (ACM Multimedia, 2023)

Triple-Granularity Contrastive Learning for Deep Multi-View Subspace Clustering. - Jing Wang 116; Songhe Feng; Gengyu Lyu; Zhibin Gu (ACM Multimedia, 2023)

Enhancing Domain-Invariant Parts for Generalized Zero-Shot Learning. - Yang Zhang; Songhe Feng (ACM Multimedia, 2023)

A Unified Framework for Graph-Based Multi-View Partial Multi-Label Learning. - Jiazheng Yuan; Wei Liu 207; Zhibin Gu; Songhe Feng (IEEE Access, 2023)

Beyond Word Embeddings: Heterogeneous Prior Knowledge Driven Multi-Label Image Classification. - Xiang Deng; Songhe Feng; Gengyu Lyu; Tao Wang 011; Congyan Lang (IEEE Trans. Multim., 2023)

Clicking Matters: Towards Interactive Human Parsing. - Yutong Gao 001; Liqian Liang; Congyan Lang; Songhe Feng; Yidong Li; Yunchao Wei (IEEE Trans. Multim., 2023)

Individuality Meets Commonality: A Unified Graph Learning Framework for Multi-View Clustering. - Zhibin Gu; Songhe Feng (ACM Trans. Knowl. Discov. Data, 2023)

Label driven latent subspace learning for multi-view multi-label classification. - Wei Liu 207; Jiazheng Yuan; Gengyu Lyu; Songhe Feng (Appl. Intell., 2023)

Redundant Label Learning via Subspace Representation and Global Disambiguation. - Gengyu Lyu; Songhe Feng; Wei Liu 207; Shuoyan Liu; Congyan Lang (ACM Trans. Intell. Syst. Technol., 2023)

Structure Diversity-Induced Anchor Graph Fusion for Multi-View Clustering. - Xun Lu; Songhe Feng (ACM Trans. Knowl. Discov. Data, 2023)

Distance-Preserving Embedding Adaptive Bipartite Graph Multi-View Learning with Application to Multi-Label Classification. - Xun Lu; Songhe Feng; Gengyu Lyu; Yi Jin 001; Congyan Lang (ACM Trans. Knowl. Discov. Data, 2023)

Prior Knowledge Regularized Self-Representation Model for Partial Multilabel Learning. - Gengyu Lyu; Songhe Feng; Yi Jin 001; Tao Wang 011; Congyan Lang; Yidong Li (IEEE Trans. Cybern., 2023)

Prior Knowledge Constrained Adaptive Graph Framework for Partial Label Learning. - Gengyu Lyu; Songhe Feng; Shaokai Wang; Zhen Yang 004 (ACM Trans. Intell. Syst. Technol., 2023)

Diversity-induced consensus and structured graph learning for multi-view clustering. - Zhibin Gu; Hongzhe Liu; Songhe Feng (Appl. Intell., 2023)

ONION: Joint Unsupervised Feature Selection and Robust Subspace Extraction for Graph-based Multi-View Clustering. - Zhibin Gu; Songhe Feng; Ruiting Hu; Gengyu Lyu (ACM Trans. Knowl. Discov. Data, 2023)

Ranking-Based Color Constancy With Limited Training Samples. - Bing Li 001; Haina Qin; Weihua Xiong; Yangxi Li; Songhe Feng; Weiming Hu 004; Stephen J. Maybank (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Semantic-Aware Graph Matching Mechanism for Multi-Label Image Recognition. - Yanan Wu; Songhe Feng; Yang Wang 003 (IEEE Trans. Circuits Syst. Video Technol., 2023)

SSR-Net: A Spatial Structural Relation Network for Vehicle Re-identification. - Zheming Xu; Lili Wei; Congyan Lang; Songhe Feng; Tao Wang 011; Adrian G. Bors; Hongzhe Liu (ACM Trans. Multim. Comput. Commun. Appl., 2023)

SURER: Structure-Adaptive Unified Graph Neural Network for Multi-View Clustering. - Jing Wang 116; Songhe Feng; Gengyu Lyu; Jiazheng Yuan (AAAI, 2024)

Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization. - Yanan Wu; Zhixiang Chi; Yang Wang 003; Konstantinos N. Plataniotis; Songhe Feng (AAAI, 2024)

Low-Rank Kernel Tensor Learning for Incomplete Multi-View Clustering. - Tingting Wu; Songhe Feng; Jiazheng Yuan (AAAI, 2024)

EDISON: Enhanced Dictionary-Induced Tensorized Incomplete Multi-View Clustering with Gaussian Error Rank Minimization. - Zhibin Gu; Zhendong Li; Songhe Feng (ICML, 2024)

Common-Individual Semantic Fusion for Multi-View Multi-Label Learning. - Gengyu Lyu; Weiqi Kang; Haobo Wang 001; Zheng Li; Zhen Yang 004; Songhe Feng (IJCAI, 2024)

Contrastive and View-Interaction Structure Learning for Multi-view Clustering. - Jing Wang 116; Songhe Feng (IJCAI, 2024)

Continual Compositional Zero-Shot Learning. - Yang Zhang; Songhe Feng; Jiazheng Yuan (IJCAI, 2024)

Topology-Driven Multi-View Clustering via Tensorial Refined Sigmoid Rank Minimization. - Zhibin Gu; Zhendong Li; Songhe Feng (KDD, 2024)

Tensorized Unaligned Multi-view Clustering with Multi-scale Representation Learning. - Jintian Ji; Songhe Feng; Yidong Li (KDD, 2024)

From Dictionary to Tensor: A Scalable Multi-View Subspace Clustering Framework with Triple Information Enhancement. - Zhibin Gu; Songhe Feng (NeurIPS, 2024)

Enhancing Point Cloud Sampling Quality with Dual-Branch Fusion Networks. - Yi Jin 001; Xu Wang 053; Mengxia Hu; Hui Yu 001; Yidong Li; Tao Wang 011; Songhe Feng; Congyan Lang (SMC, 2024)

GLAN: A graph-based linear assignment network. - He Liu; Tao Wang 011; Congyan Lang; Songhe Feng; Yi Jin 001; Yidong Li (Pattern Recognit., 2024)

One-step graph-based incomplete multi-view clustering. - Baishun Zhou; Jintian Ji; Zhibin Gu; Zihao Zhou; Gangyi Ding; Songhe Feng (Multim. Syst., 2024)

Transformer Driven Matching Selection Mechanism for Multi-Label Image Classification. - Yanan Wu; Songhe Feng; Gongpei Zhao; Yi Jin 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

OHD: An Online Category-Aware Framework for Learning With Noisy Labels Under Long-Tailed Distribution. - Qihao Zhao; Fan Zhang 007; Wei Hu 004; Songhe Feng; Jun Liu 036 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Neighborhood Pattern Is Crucial for Graph Convolutional Networks Performing Node Classification. - Gongpei Zhao; Tao Wang 011; Yidong Li; Yi Jin 001; Congyan Lang; Songhe Feng (IEEE Trans. Neural Networks Learn. Syst., 2024)

NOODLE: Joint Cross-View Discrepancy Discovery and High-Order Correlation Detection for Multi-View Subspace Clustering. - Zhibin Gu; Songhe Feng; Zhendong Li; Jiazheng Yuan; Jun Liu 036 (ACM Trans. Knowl. Discov. Data, 2024)

Bridging the Gap: Multi-Level Cross-Modality Joint Alignment for Visible-Infrared Person Re-Identification. - Tengfei Liang; Yi Jin 001; Wu Liu; Tao Wang 011; Songhe Feng; Yidong Li (IEEE Trans. Circuits Syst. Video Technol., 2024)

Consensus representation-driven structured graph learning for multi-view clustering. - Zhibin Gu; Songhe Feng; Jiazheng Yuan; Ximing Li (Appl. Intell., 2024)

Linkage-Based Object Re-Identification via Graph Learning. - Lili Wei; Zhenxue Wang; Congyan Lang; Liqian Liang; Tao Wang 011; Songhe Feng; Yidong Li (IEEE Trans. Intell. Transp. Syst., 2024)

Addressing Multi-Label Learning with Partial Labels: From Sample Selection to Label Selection. - Gengyu Lyu; Bohang Sun; Xiang Deng; Songhe Feng (AAAI, 2025)

KOALA: Kernel Coupling and Element Imputation Induced Multi-View Clustering. - Tingting Wu; Zhendong Li; Zhibin Gu; Jiazheng Yuan; Songhe Feng (AAAI, 2025)

AdaptCMVC: Robust Adaption to Incremental Views in Continual Multi-view Clustering. - Jing Wang 116; Songhe Feng; Kristoffer Knutsen Wickstrøm; Michael C. Kampffmeyer (CVPR, 2025)

Leveraging MLLM Embeddings and Attribute Smoothing for Compositional Zero-Shot Learning. - Xudong Yan; Songhe Feng; Yang Zhang; Jian Yang; Yueguan Lin; Haojun Fei (IJCAI, 2025)

Partition-level fusion induced multi-view Subspace Clustering with Tensorial Geman Rank. - Jintian Ji; Songhe Feng (Neural Networks, 2025)

Incomplete multi-view clustering via efficient anchor tensor recovery framework. - Jintian Ji; Songhe Feng; Jie Huang; Taotao Wei; Xiang Feng; Peiwu Lv; Bing Li 001 (Neural Networks, 2025)

Anchors Crash Tensor: Efficient and Scalable Tensorial Multi-View Subspace Clustering. - Jintian Ji; Songhe Feng (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

L-VSM: Label-Driven View-Specific Fusion for Multiview Multilabel Classification. - Gengyu Lyu; Zhen Yang 004; Xiang Deng; Songhe Feng (IEEE Trans. Neural Networks Learn. Syst., 2025)

Multi-view clustering with filtered bipartite graph. - Jintian Ji; Hailei Peng; Songhe Feng (Appl. Intell., 2025)