Songhe Feng - RankMe

183 papers A* 37A 1B 3C 3Misc 1Journal 109Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive spatial-temporal graph ODE networks for traffic flow forecasting. Multim. Syst. Shixiang Han, Xu Wang, Yi Jin, Songhe Feng, Congyan Lang, Yidong Li
2026	A*	`conf`	Bridging Modalities via Progressive Re-alignment for Multimodal Test-Time Adaptation. AAAI Jiacheng Li, Songhe Feng
2026	A*	`conf`	Dual Graph Disambiguation for Multi-Instance Partial-Label Learning. AAAI Zhen Zhu, Kai Tang, Songhe Feng, Yixuan Tang, Haobo Wang, Gengyu Lyu, Cheng Peng, Yining Sun
2026	J	`jnl`	WARM-CAT: Warm-Started Test-Time Comprehensive Knowledge Accumulation for Compositional Zero-Shot Learning. CoRR Xudong Yan, Songhe Feng, Jiaxin Wang, Xin Su, Yi Jin
2025	A*	`conf`	AdaptCMVC: Robust Adaption to Incremental Views in Continual Multi-view Clustering. CVPR Jing Wang, Songhe Feng, Kristoffer Knutsen Wickstrøm, Michael C. Kampffmeyer
2025	A*	`conf`	Addressing Multi-Label Learning with Partial Labels: From Sample Selection to Label Selection. AAAI Gengyu Lyu, Bohang Sun, Xiang Deng, Songhe Feng
2025	A*	`conf`	Anchors Bring Stability and Efficiency: Fast Tensorial Multi-view Clustering on Shuffled Datasets. ACM Multimedia Jintian Ji, Songhe Feng
2025	J	`jnl`	Anchors Crash Tensor: Efficient and Scalable Tensorial Multi-View Subspace Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Jintian Ji, Songhe Feng
2025	J	`jnl`	Bridging Modalities via Progressive Re-alignment for Multimodal Test-Time Adaptation. CoRR Jiacheng Li, Songhe Feng
2025	J	`jnl`	Incomplete multi-view clustering via efficient anchor tensor recovery framework. Neural Networks Jintian Ji, Songhe Feng, Jie Huang, Taotao Wei, Xiang Feng, Peiwu Lv, Bing Li
2025	J	`jnl`	Integrating cross-graph consensus constraints for label disambiguation in multi-view partial multi-label learning. Appl. Intell. Yutong Wu, Zheming Xu, Congyan Lang, Songhe Feng
2025	A*	`conf`	KOALA: Kernel Coupling and Element Imputation Induced Multi-View Clustering. AAAI Tingting Wu, Zhendong Li, Zhibin Gu, Jiazheng Yuan, Songhe Feng
2025	J	`jnl`	L-VSM: Label-Driven View-Specific Fusion for Multiview Multilabel Classification. IEEE Trans. Neural Networks Learn. Syst. Gengyu Lyu, Zhen Yang, Xiang Deng, Songhe Feng
2025	A*	`conf`	Leveraging MLLM Embeddings and Attribute Smoothing for Compositional Zero-Shot Learning. IJCAI Xudong Yan, Songhe Feng, Yang Zhang, Jian Yang, Yueguan Lin, Haojun Fei
2025	J	`jnl`	Multi-view clustering with filtered bipartite graph. Appl. Intell. Jintian Ji, Hailei Peng, Songhe Feng
2025	J	`jnl`	Partition-level fusion induced multi-view Subspace Clustering with Tensorial Geman Rank. Neural Networks Jintian Ji, Songhe Feng
2025	J	`jnl`	TOMCAT: Test-time Comprehensive Knowledge Accumulation for Compositional Zero-Shot Learning. CoRR Xudong Yan, Songhe Feng
2024	J	`jnl`	Bridging the Gap: Multi-Level Cross-Modality Joint Alignment for Visible-Infrared Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. Tengfei Liang, Yi Jin, Wu Liu, Tao Wang, Songhe Feng, Yidong Li
2024	A*	`conf`	Common-Individual Semantic Fusion for Multi-View Multi-Label Learning. IJCAI Gengyu Lyu, Weiqi Kang, Haobo Wang, Zheng Li, Zhen Yang, Songhe Feng
2024	J	`jnl`	Consensus representation-driven structured graph learning for multi-view clustering. Appl. Intell. Zhibin Gu, Songhe Feng, Jiazheng Yuan, Ximing Li
2024	A*	`conf`	Continual Compositional Zero-Shot Learning. IJCAI Yang Zhang, Songhe Feng, Jiazheng Yuan
2024	A*	`conf`	Contrastive and View-Interaction Structure Learning for Multi-view Clustering. IJCAI Jing Wang, Songhe Feng
2024	A*	`conf`	EDISON: Enhanced Dictionary-Induced Tensorized Incomplete Multi-View Clustering with Gaussian Error Rank Minimization. ICML Zhibin Gu, Zhendong Li, Songhe Feng
2024	B	`conf`	Enhancing Point Cloud Sampling Quality with Dual-Branch Fusion Networks. SMC Yi Jin, Xu Wang, Mengxia Hu, Hui Yu, Yidong Li, Tao Wang, Songhe Feng, Congyan Lang
2024	A*	`conf`	From Dictionary to Tensor: A Scalable Multi-View Subspace Clustering Framework with Triple Information Enhancement. NeurIPS Zhibin Gu, Songhe Feng
2024	J	`jnl`	GLAN: A graph-based linear assignment network. Pattern Recognit. He Liu, Tao Wang, Congyan Lang, Songhe Feng, Yi Jin, Yidong Li
2024	J	`jnl`	Leveraging MLLM Embeddings and Attribute Smoothing for Compositional Zero-Shot Learning. CoRR Xudong Yan, Songhe Feng, Yang Zhang, Jian Yang, Yueguan Lin, Haojun Fei
2024	J	`jnl`	Linkage-Based Object Re-Identification via Graph Learning. IEEE Trans. Intell. Transp. Syst. Lili Wei, Zhenxue Wang, Congyan Lang, Liqian Liang, Tao Wang, Songhe Feng, Yidong Li
2024	A*	`conf`	Low-Rank Kernel Tensor Learning for Incomplete Multi-View Clustering. AAAI Tingting Wu, Songhe Feng, Jiazheng Yuan
2024	J	`jnl`	NOODLE: Joint Cross-View Discrepancy Discovery and High-Order Correlation Detection for Multi-View Subspace Clustering. ACM Trans. Knowl. Discov. Data Zhibin Gu, Songhe Feng, Zhendong Li, Jiazheng Yuan, Jun Liu
2024	J	`jnl`	Neighborhood Pattern Is Crucial for Graph Convolutional Networks Performing Node Classification. IEEE Trans. Neural Networks Learn. Syst. Gongpei Zhao, Tao Wang, Yidong Li, Yi Jin, Congyan Lang, Songhe Feng
2024	J	`jnl`	OHD: An Online Category-Aware Framework for Learning With Noisy Labels Under Long-Tailed Distribution. IEEE Trans. Circuits Syst. Video Technol. Qihao Zhao, Fan Zhang, Wei Hu, Songhe Feng, Jun Liu
2024	J	`jnl`	One-step graph-based incomplete multi-view clustering. Multim. Syst. Baishun Zhou, Jintian Ji, Zhibin Gu, Zihao Zhou, Gangyi Ding, Songhe Feng
2024	A*	`conf`	SURER: Structure-Adaptive Unified Graph Neural Network for Multi-View Clustering. AAAI Jing Wang, Songhe Feng, Gengyu Lyu, Jiazheng Yuan
2024	A*	`conf`	Tensorized Unaligned Multi-view Clustering with Multi-scale Representation Learning. KDD Jintian Ji, Songhe Feng, Yidong Li
2024	A*	`conf`	Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization. AAAI Yanan Wu, Zhixiang Chi, Yang Wang, Konstantinos N. Plataniotis, Songhe Feng
2024	A*	`conf`	Topology-Driven Multi-View Clustering via Tensorial Refined Sigmoid Rank Minimization. KDD Zhibin Gu, Zhendong Li, Songhe Feng
2024	J	`jnl`	Transformer Driven Matching Selection Mechanism for Multi-Label Image Classification. IEEE Trans. Circuits Syst. Video Technol. Yanan Wu, Songhe Feng, Gongpei Zhao, Yi Jin
2023	J	`jnl`	A Unified Framework for Graph-Based Multi-View Partial Multi-Label Learning. IEEE Access Jiazheng Yuan, Wei Liu, Zhibin Gu, Songhe Feng
2023	A*	`conf`	Anchor Structure Regularization Induced Multi-view Subspace Clustering via Enhanced Tensor Rank Minimization. ICCV Jintian Ji, Songhe Feng
2023	J	`jnl`	Beyond Word Embeddings: Heterogeneous Prior Knowledge Driven Multi-Label Image Classification. IEEE Trans. Multim. Xiang Deng, Songhe Feng, Gengyu Lyu, Tao Wang, Congyan Lang
2023	J	`jnl`	Bridging the Gap: Multi-Level Cross-Modality Joint Alignment for Visible-Infrared Person Re-Identification. CoRR Tengfei Liang, Yi Jin, Wu Liu, Tao Wang, Songhe Feng, Yidong Li
2023	J	`jnl`	Clicking Matters: Towards Interactive Human Parsing. IEEE Trans. Multim. Yutong Gao, Liqian Liang, Congyan Lang, Songhe Feng, Yidong Li, Yunchao Wei
2023	A*	`conf`	Deep Partial Multi-Label Learning with Graph Disambiguation. IJCAI Haobo Wang, Shisong Yang, Gengyu Lyu, Weiwei Liu, Tianlei Hu, Ke Chen, Songhe Feng, Gang Chen
2023	J	`jnl`	Deep Partial Multi-Label Learning with Graph Disambiguation. CoRR Haobo Wang, Shisong Yang, Gengyu Lyu, Weiwei Liu, Tianlei Hu, Ke Chen, Songhe Feng, Gang Chen
2023	J	`jnl`	Distance-Preserving Embedding Adaptive Bipartite Graph Multi-View Learning with Application to Multi-Label Classification. ACM Trans. Knowl. Discov. Data Xun Lu, Songhe Feng, Gengyu Lyu, Yi Jin, Congyan Lang
2023	J	`jnl`	Diversity-induced consensus and structured graph learning for multi-view clustering. Appl. Intell. Zhibin Gu, Hongzhe Liu, Songhe Feng
2023	A*	`conf`	Enhancing Domain-Invariant Parts for Generalized Zero-Shot Learning. ACM Multimedia Yang Zhang, Songhe Feng
2023	A*	`conf`	High-order Complementarity Induced Fast Multi-View Clustering with Enhanced Tensor Rank Minimization. ACM Multimedia Jintian Ji, Songhe Feng
2023	J	`jnl`	Individuality Meets Commonality: A Unified Graph Learning Framework for Multi-View Clustering. ACM Trans. Knowl. Discov. Data Zhibin Gu, Songhe Feng
2023	J	`jnl`	Label driven latent subspace learning for multi-view multi-label classification. Appl. Intell. Wei Liu, Jiazheng Yuan, Gengyu Lyu, Songhe Feng
2023	A*	`conf`	MetaGCD: Learning to Continually Learn in Generalized Category Discovery. ICCV Yanan Wu, Zhixiang Chi, Yang Wang, Songhe Feng
2023	J	`jnl`	MetaGCD: Learning to Continually Learn in Generalized Category Discovery. CoRR Yanan Wu, Zhixiang Chi, Yang Wang, Songhe Feng
2023	A*	`conf`	MetaZSCIL: A Meta-Learning Approach for Generalized Zero-Shot Class Incremental Learning. AAAI Yanan Wu, Tengfei Liang, Songhe Feng, Yi Jin, Gengyu Lyu, Haojun Fei, Yang Wang
2023	J	`jnl`	ONION: Joint Unsupervised Feature Selection and Robust Subspace Extraction for Graph-based Multi-View Clustering. ACM Trans. Knowl. Discov. Data Zhibin Gu, Songhe Feng, Ruiting Hu, Gengyu Lyu
2023	J	`jnl`	Prior Knowledge Constrained Adaptive Graph Framework for Partial Label Learning. ACM Trans. Intell. Syst. Technol. Gengyu Lyu, Songhe Feng, Shaokai Wang, Zhen Yang
2023	J	`jnl`	Prior Knowledge Regularized Self-Representation Model for Partial Multilabel Learning. IEEE Trans. Cybern. Gengyu Lyu, Songhe Feng, Yi Jin, Tao Wang, Congyan Lang, Yidong Li
2023	J	`jnl`	Ranking-Based Color Constancy With Limited Training Samples. IEEE Trans. Pattern Anal. Mach. Intell. Bing Li, Haina Qin, Weihua Xiong, Yangxi Li, Songhe Feng, Weiming Hu, Stephen J. Maybank
2023	J	`jnl`	Redundant Label Learning via Subspace Representation and Global Disambiguation. ACM Trans. Intell. Syst. Technol. Gengyu Lyu, Songhe Feng, Wei Liu, Shuoyan Liu, Congyan Lang
2023	J	`jnl`	SSR-Net: A Spatial Structural Relation Network for Vehicle Re-identification. ACM Trans. Multim. Comput. Commun. Appl. Zheming Xu, Lili Wei, Congyan Lang, Songhe Feng, Tao Wang, Adrian G. Bors, Hongzhe Liu
2023	J	`jnl`	Semantic-Aware Graph Matching Mechanism for Multi-Label Image Recognition. CoRR Yanan Wu, Songhe Feng, Yang Wang
2023	J	`jnl`	Semantic-Aware Graph Matching Mechanism for Multi-Label Image Recognition. IEEE Trans. Circuits Syst. Video Technol. Yanan Wu, Songhe Feng, Yang Wang
2023	J	`jnl`	Structure Diversity-Induced Anchor Graph Fusion for Multi-View Clustering. ACM Trans. Knowl. Discov. Data Xun Lu, Songhe Feng
2023	J	`jnl`	Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization. CoRR Yanan Wu, Zhixiang Chi, Yang Wang, Konstantinos N. Plataniotis, Songhe Feng
2023	A*	`conf`	Triple-Granularity Contrastive Learning for Deep Multi-View Subspace Clustering. ACM Multimedia Jing Wang, Songhe Feng, Gengyu Lyu, Zhibin Gu
2022	J	`jnl`	A Self-Paced Regularization Framework for Partial-Label Learning. IEEE Trans. Cybern. Gengyu Lyu, Songhe Feng, Tao Wang, Congyan Lang
2022	A*	`conf`	Beyond Shared Subspace: A View-Specific Fusion for Multi-View Multi-Label Learning. AAAI Gengyu Lyu, Xiang Deng, Yanan Wu, Songhe Feng
2022	A*	`conf`	Deep Graph Matching for Partial Label Learning. IJCAI Gengyu Lyu, Yanan Wu, Songhe Feng
2022	J	`jnl`	Deep Probabilistic Graph Matching. CoRR He Liu, Tao Wang, Yidong Li, Congyan Lang, Songhe Feng, Haibin Ling
2022	J	`jnl`	Dense Attentive Feature Enhancement for Salient Object Detection. IEEE Trans. Circuits Syst. Video Technol. Zun Li, Congyan Lang, Liqian Liang, Jian Zhao, Songhe Feng, Qibin Hou, Jiashi Feng
2022	J	`jnl`	Dwarfism computer-aided diagnosis algorithm based on multimodal pyradiomics. Inf. Fusion Shi Qiu, Yi Jin, Songhe Feng, Tao Zhou, Yidong Li
2022	J	`jnl`	Fine-grained facial expression recognition via relational reasoning and hierarchical relation optimization. Pattern Recognit. Lett. Yichen Zhu, Lili Wei, Congyan Lang, Siyu Li, Songhe Feng, Yidong Li
2022	J	`jnl`	GLAN: A Graph-based Linear Assignment Network. CoRR He Liu, Tao Wang, Congyan Lang, Songhe Feng, Yi Jin, Yidong Li
2022	J	`jnl`	Global-Local Label Correlation for Partial Multi-Label Learning. IEEE Trans. Multim. Lijuan Sun, Songhe Feng, Jun Liu, Gengyu Lyu, Congyan Lang
2022	—	`conf`	Graph-based Multi-view Partial Multi-label Learning. PAAP Wei Liu, Songhe Feng, Hui Tian
2022	J	`jnl`	Incomplete multi-view partial multi-label learning. Appl. Intell. Xinyuan Liu, Lijuan Sun, Songhe Feng
2022	—	`conf`	Joint Original Space and Latent Space for Multi-view Spectral Clustering. PAAP Ruiting Hu, Zhibin Gu, Songhe Feng
2022	A*	`conf`	Keypoint-Guided Modality-Invariant Discriminative Learning for Visible-Infrared Person Re-identification. ACM Multimedia Tengfei Liang, Yi Jin, Wu Liu, Songhe Feng, Tao Wang, Yidong Li
2022	J	`jnl`	Linear neighborhood reconstruction constrained latent subspace discovery for incomplete multi-view clustering. Appl. Intell. Jianguo Zhao, Gengyu Lyu, Songhe Feng
2022	J	`jnl`	Object detection by crossing relational reasoning based on graph neural network. Mach. Vis. Appl. XiuTing You, He Liu, Tao Wang, Songhe Feng, Congyan Lang
2022	J	`jnl`	Partial label learning with noisy side information. Appl. Intell. Shaokai Wang, Mingxuan Xia, Zilong Wang, Gengyu Lyu, Songhe Feng
2022	J	`jnl`	Pedestrian attribute recognition based on attribute correlation. Multim. Syst. Ruijie Zhao, Congyan Lang, Zun Li, Liqian Liang, Lili Wei, Songhe Feng, Tao Wang
2022	J	`jnl`	Seeing Crucial Parts: Vehicle Model Verification via a Discriminative Representation Model. ACM Trans. Multim. Comput. Commun. Appl. Liqian Liang, Congyan Lang, Zun Li, Jian Zhao, Tao Wang, Songhe Feng
2022	C	`conf`	Task Adaptive Modeling for Few-shot Action Recognition. MMSP Jiayi Wang, Yi Jin, Songhe Feng, Yidong Li
2022	J	`jnl`	Weakly Supervised Video Object Segmentation via Dual-attention Cross-branch Fusion. ACM Trans. Intell. Syst. Technol. Lili Wei, Congyan Lang, Liqian Liang, Songhe Feng, Tao Wang, Shidi Chen
2021	J	`jnl`	A Universal Model for Cross Modality Mapping by Relational Reasoning. CoRR Zun Li, Congyan Lang, Liqian Liang, Tao Wang, Songhe Feng, Jun Wu, Yidong Li
2021	J	`jnl`	Beyond missing: weakly-supervised multi-label learning with incomplete and noisy labels. Appl. Intell. Lijuan Sun, Gengyu Lyu, Songhe Feng, Xiankai Huang
2021	J	`jnl`	CMTR: Cross-modality Transformer for Visible-infrared Person Re-identification. CoRR Tengfei Liang, Yi Jin, Yajun Gao, Wu Liu, Songhe Feng, Tao Wang, Yidong Li
2021	J	`jnl`	Class-Balanced Text to Image Synthesis With Attentive Generative Adversarial Network. IEEE Multim. Min Wang, Congyan Lang, Liqian Liang, Gengyu Lyu, Songhe Feng, Tao Wang
2021	J	`jnl`	Clicking Matters: Towards Interactive Human Parsing. CoRR Yutong Gao, Liqian Liang, Congyan Lang, Songhe Feng, Yidong Li, Yunchao Wei
2021	J	`jnl`	Fine-Grained Facial Expression Recognition in the Wild. IEEE Trans. Inf. Forensics Secur. Liqian Liang, Congyan Lang, Yidong Li, Songhe Feng, Jian Zhao
2021	J	`jnl`	Fine-Grained Semantic Image Synthesis with Object-Attention Generative Adversarial Network. ACM Trans. Intell. Syst. Technol. Min Wang, Congyan Lang, Liqian Liang, Songhe Feng, Tao Wang, Yutong Gao
2021	A*	`conf`	GM-MLIC: Graph Matching based Multi-Label Image Classification. IJCAI Yanan Wu, He Liu, Songhe Feng, Yi Jin, Gengyu Lyu, Zizhang Wu
2021	J	`jnl`	GM-MLIC: Graph Matching based Multi-Label Image Classification. CoRR Yanan Wu, He Liu, Songhe Feng, Yi Jin, Gengyu Lyu, Zizhang Wu
2021	J	`jnl`	GM-PLL: Graph Matching Based Partial Label Learning. IEEE Trans. Knowl. Data Eng. Gengyu Lyu, Songhe Feng, Tao Wang, Congyan Lang, Yidong Li
2021	J	`jnl`	L4Net: An anchor-free generic object detector with attention mechanism for autonomous driving. IET Comput. Vis. Yanan Wu, Songhe Feng, Xiankai Huang, Zizhang Wu
2021	—	`conf`	Multiple Semantic Embedding with Graph Convolutional Networks for Multi-Label Image Classification. PRCV (2) Tong Zhou, Songhe Feng
2021	J	`jnl`	Noisy label tolerance: A new perspective of Partial Multi-Label Learning. Inf. Sci. Gengyu Lyu, Songhe Feng, Yidong Li
2021	J	`jnl`	Partial multi-label learning with noisy side information. Knowl. Inf. Syst. Lijuan Sun, Songhe Feng, Gengyu Lyu, Hua Zhang, Guojun Dai
2021	J	`jnl`	Text to photo-realistic image synthesis via chained deep recurrent generative adversarial network. J. Vis. Commun. Image Represent. Min Wang, Congyan Lang, Songhe Feng, Tao Wang, Yi Jin, Yidong Li
2020	A	`conf`	Attentive Generative Adversarial Network To Bridge Multi-Domain Gap For Image Synthesis. ICME Min Wang, Congyan Lang, Liqian Liang, Gengyu Lyu, Songhe Feng, Tao Wang
2020	J	`jnl`	EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT Denoising. CoRR Tengfei Liang, Yi Jin, Yidong Li, Tao Wang, Songhe Feng, Congyan Lang
2020	J	`jnl`	End-to-End Text-to-Image Synthesis with Spatial Constrains. ACM Trans. Intell. Syst. Technol. Min Wang, Congyan Lang, Liqian Liang, Songhe Feng, Tao Wang, Yutong Gao
2020	J	`jnl`	HERA: Partial Label Learning by Combining Heterogeneous Loss with Sparse and Low-Rank Regularization. ACM Trans. Intell. Syst. Technol. Gengyu Lyu, Songhe Feng, Yidong Li, Yi Jin, Guojun Dai, Congyan Lang
2020	—	`conf`	HSS-GCN: A Hierarchical Spatial Structural Graph Convolutional Network for Vehicle Re-identification. ICPR Workshops (5) Zheming Xu, Lili Wei, Congyan Lang, Songhe Feng, Tao Wang, Adrian G. Bors
2020	J	`jnl`	Improving person re-identification via attribute-identity representation and visual attention mechanism. Multim. Tools Appl. Honglin Quan, Songhe Feng, Congyan Lang, Baifan Chen
2020	J	`jnl`	Learning part-alignment feature for person re-identification with spatial-temporal-based re-ranking method. World Wide Web Zhongyi Li, Yi Jin, Yidong Li, Congyan Lang, Songhe Feng, Tao Wang
2020	—	`conf`	Partial Label Learning via Self-Paced Curriculum Strategy. ECML/PKDD (2) Gengyu Lyu, Songhe Feng, Yi Jin, Yidong Li
2020	—	`conf`	Partial Label Learning via Subspace Representation and Global Disambiguation. ECML/PKDD (2) Yue Sun, Gengyu Lyu, Songhe Feng
2020	A*	`conf`	Partial Multi-Label Learning via Multi-Subspace Representation. IJCAI Ziwei Li, Gengyu Lyu, Songhe Feng
2020	A*	`conf`	Partial Multi-Label Learning via Probabilistic Graph Matching Mechanism. KDD Gengyu Lyu, Songhe Feng, Yidong Li
2020	J	`jnl`	Partial label learning via low-rank representation and label propagation. Soft Comput. Gengyu Lyu, Songhe Feng, Wenying Huang, Guojun Dai, Hua Zhang, Baifan Chen
2020	J	`jnl`	Subgraph and object context-masked network for scene graph generation. IET Comput. Vis. ZhenXing Zheng, Zhendong Li, Gaoyun An, Songhe Feng
2020	J	`jnl`	Weakly-supervised multi-label learning with noisy features and incomplete labels. Neurocomputing Lijuan Sun, Ping Ye, Gengyu Lyu, Songhe Feng, Guojun Dai, Hua Zhang
2019	J	`jnl`	Co-saliency Detection with Graph Matching. ACM Trans. Intell. Syst. Technol. Zun Li, Congyan Lang, Jiashi Feng, Yidong Li, Tao Wang, Songhe Feng
2019	—	`conf`	Deep Domain Adaptation for Asian Face Recognition via Ada-IBN. ICME Workshops Chen Qian, Yi Jin, Yidong Li, Congyan Lang, Songhe Feng, Tao Wang
2019	A*	`conf`	Deformable Surface Tracking by Graph Matching. ICCV Tao Wang, Haibin Ling, Congyan Lang, Songhe Feng, Xiaohui Hou
2019	J	`jnl`	Domain Adaptive Attention Model for Unsupervised Cross-Domain Person Re-Identification. CoRR Yangru Huang, Peixi Peng, Yi Jin, Junliang Xing, Congyan Lang, Songhe Feng
2019	J	`jnl`	GM-PLL: Graph Matching based Partial Label Learning. CoRR Gengyu Lyu, Songhe Feng, Tao Wang, Congyan Lang, Yidong Li
2019	J	`jnl`	General structured sparse learning for human facial age estimation. Multim. Syst. Yanan Dong, Congyan Lang, Songhe Feng
2019	J	`jnl`	HERA: Partial Label Learning by Combining Heterogeneous Loss with Sparse and Low-Rank Regularization. CoRR Gengyu Lyu, Songhe Feng, Yi Jin, Guojun Dai, Congyan Lang, Yidong Li
2019	—	`conf`	MFAD: A Multi-modality Face Anti-spoofing Dataset. PRICAI (2) Bingqian Geng, Congyan Lang, Junliang Xing, Songhe Feng, Jun Wu
2019	A*	`conf`	Partial Multi-Label Learning by Low-Rank and Sparse Decomposition. AAAI Lijuan Sun, Songhe Feng, Tao Wang, Congyan Lang, Yi Jin
2019	J	`jnl`	Recurrent convolutional network for video-based smoke detection. Multim. Tools Appl. Mengxia Yin, Congyan Lang, Zun Li, Songhe Feng, Tao Wang
2019	—	`conf`	Robust Semi-supervised Multi-label Learning by Triple Low-Rank Regularization. PAKDD (2) Lijuan Sun, Songhe Feng, Gengyu Lyu, Congyan Lang
2019	J	`jnl`	Semi-supervised dual low-rank feature mapping for multi-label image annotation. Multim. Tools Appl. Xiaoying Wang, Songhe Feng, Congyan Lang
2018	J	`jnl`	A Self-paced Regularization Framework for Partial-Label Learning. CoRR Gengyu Lyu, Songhe Feng, Congyan Lang
2018	—	`conf`	A framework with a multi-task CNN model joint with a re-ranking method for vehicle re-identification. ICIMCS Dongwu Xu, Congyan Lang, Songhe Feng, Tao Wang
2018	J	`jnl`	A novel hypergraph matching algorithm based on tensor refining. J. Vis. Commun. Image Represent. Jun Zhou, Tao Wang, Congyan Lang, Songhe Feng, Yi Jin
2018	A*	`conf`	Constrained Confidence Matching for Planar Object Tracking. ICRA Tao Wang, Haibin Ling, Congyan Lang, Songhe Feng, Yi Jin, Yidong Li
2018	J	`jnl`	Graph Matching with Adaptive and Branching Path Following. IEEE Trans. Pattern Anal. Mach. Intell. Tao Wang, Haibin Ling, Congyan Lang, Songhe Feng
2018	J	`jnl`	Graph regularized low-rank feature mapping for multi-label learning with application to image annotation. Multidimens. Syst. Signal Process. Songhe Feng, Congyan Lang
2018	J	`jnl`	Graph-based visual odometry for VSLAM. Ind. Robot Shaoyan Xu, Tao Wang, Congyan Lang, Songhe Feng, Yi Jin
2018	C	`conf`	Hierarchical Discriminant Feature Learning for Heterogeneous Face Recognition. VCIP Xiaolin Xu, Yidong Li, Yi Jin, Congyan Lang, Songhe Feng, Tao Wang
2018	—	`conf`	Partial label learning via low rank representation and label propagation. ICIMCS Wenying Huang, Songhe Feng, Lijuan Sun, Congyan Lang
2018	—	`conf`	Reasonably Assign Label Distributions to GAN Images in Person Re-Identification Baseline. BigMM Kunhong Yu, Congyan Lang, Songhe Feng, Tao Wang
2018	J	`jnl`	Saliency ranker: A new salient object detection method. J. Vis. Commun. Image Represent. Zun Li, Congyan Lang, Songhe Feng, Tao Wang
2017	J	`jnl`	Human Facial Age Estimation by Cost-Sensitive Label Ranking and Trace Norm Regularization. IEEE Trans. Multim. Songhe Feng, Congyan Lang, Jiashi Feng, Tao Wang, Jiebo Luo
2017	A*	`conf`	Robust Object Tracking Based on Temporal and Spatial Deep Networks. ICCV Zhu Teng, Junliang Xing, Qiang Wang, Congyan Lang, Songhe Feng, Yi Jin
2017	J	`jnl`	Two Birds With One Stone: A Unified Approach to Saliency and Co-Saliency Detection via Multi-Instance Learning. IEEE Access Honglin Quan, Songhe Feng, Baifan Chen
2016	J	`jnl`	Dual Low-Rank Pursuit: Learning Salient Features for Saliency Detection. IEEE Trans. Neural Networks Learn. Syst. Congyan Lang, Jiashi Feng, Songhe Feng, Jingdong Wang, Shuicheng Yan
2016	J	`jnl`	From sample selection to model update: A robust online visual tracking algorithm against drifting. Neurocomputing Zhu Teng, Tao Wang, Feng Liu, Dong-Joong Kang, Congyan Lang, Songhe Feng
2016	J	`jnl`	Symmetry-aware graph matching. Pattern Recognit. Tao Wang, Haibin Ling, Congyan Lang, Songhe Feng
2015	—	`conf`	A general method for sensitive identification detection in the terrorist video. ICIMCS Xiaoyuan Luo, Songhe Feng, Congyan Lang, Xuetao Du, Chen Zhang
2015	J	`jnl`	An error-tolerant approximate matching algorithm for labeled combinatorial maps. Neurocomputing Tao Wang, Hua Yang, Congyan Lang, Songhe Feng
2015	A*	`conf`	Facial Age Estimation Based on Structured Low-rank Representation. ACM Multimedia Chenjing Yan, Congyan Lang, Songhe Feng
2015	J	`jnl`	Learning to Rank Image Tags With Limited Training Examples. IEEE Trans. Image Process. Songhe Feng, Zheyun Feng, Rong Jin
2015	—	`conf`	Vehicle detection and classification based on convolutional neural network. ICIMCS Dongmei He, Congyan Lang, Songhe Feng, Xuetao Du, Chen Zhang
2015	J	`jnl`	互联网社群图像标签排序研究进展 (Advances in Tag Ranking for Internet Social Images). 计算机科学 Yanzhang Wu, Hongzhe Liu, Songhe Feng, Jiazheng Yuan, Jingyi Zhang
2014	—	`conf`	Depth Information Fused Salient Object Detection. ICIMCS Fangfang Chen, Congyan Lang, Songhe Feng, Zehai Song
2014	J	`jnl`	Hierarchical sparse representation based Multi-Instance Semi-Supervised Learning with application to image categorization. Signal Process. Songhe Feng, Weihua Xiong, Bing Li, Congyan Lang, Xiankai Huang
2014	—	`conf`	Image Tag Completion by Noisy Matrix Recovery. ECCV (7) Zheyun Feng, Songhe Feng, Rong Jin, Anil K. Jain
2014	—	`conf`	Joint Tree of Combinatorial Maps. PAKDD Workshops Tao Wang, Congyan Lang, Songhe Feng
2013	—	`conf`	A Self-immunizing Manifold Ranking for Image Retrieval. PAKDD (2) Jun Wu, Yidong Li, Songhe Feng, Hong Shen
2013	C	`conf`	A novel image tag saliency ranking algorithm based on sparse representation. VCIP Caixia Wang, Zehai Song, Songhe Feng, Congyan Lang, Shuicheng Yan
2013	J	`jnl`	Adaptive all-season image tag ranking by saliency-driven image pre-classification. J. Vis. Commun. Image Represent. Songhe Feng, Congyan Lang, Hongzhe Liu, Xiankai Huang
2013	—	`conf`	Contextualizing Tag Ranking and Saliency Detection for Social Images. MMM (2) Wen Wang, Congyan Lang, Songhe Feng
2013	—	`conf`	Personalized image recommendation and retrieval via latent SVM based model. ICIMCS Jie Sun, Songhe Feng, Wen Wang, Congyan Lang
2013	—	`conf`	Sample specific late fusion for saliency detection. WIAMIS Jie Sun, Congyan Lang, Songhe Feng
2013	J	`jnl`	Supervised sparse patch coding towards misalignment-robust face recognition. J. Vis. Commun. Image Represent. Congyan Lang, Songhe Feng, Bin Chen, Xiaotong Yuan
2012	J	`jnl`	A unified supervised codebook learning framework for classification. Neurocomputing Congyan Lang, Songhe Feng, Bing Cheng, Bingbing Ni, Shuicheng Yan
2012	A*	`conf`	Scaring or pleasing: exploit emotional impact of an image. ACM Multimedia Bing Li, Songhe Feng, Weihua Xiong, Weiming Hu
2012	A*	`conf`	Towards relevance and saliency ranking of image tags. ACM Multimedia Songhe Feng, Congyan Lang, Bing Li
2011	J	`jnl`	A Novel Saliency-Based Graph Learning Framework with Application to CBIR. IEICE Trans. Inf. Syst. Hong Bao, Songhe Feng, De Xu, Shuoyan Liu
2011	J	`jnl`	Combining visual attention model with multi-instance learning for tag ranking. Neurocomputing Songhe Feng, Hong Bao, Congyan Lang, De Xu
2011	J	`jnl`	Region Contextual Visual Words for scene categorization. Expert Syst. Appl. Shuoyan Liu, De Xu, Songhe Feng
2011	J	`jnl`	Scene Categorization with Classified Codebook Model. IEICE Trans. Inf. Syst. Xu Yang, De Xu, Songhe Feng, Yingjun Tang, Shuoyan Liu
2011	Misc	`conf`	Supervised Sparse Patch Coding towards Misalignment-Robust Face Recognition. ICIG Congyan Lang, Bin Cheng, Songhe Feng, Xiao-Tong Yuan
2010	J	`jnl`	Attention-driven salient edge(s) and region(s) extraction with application to CBIR. Signal Process. Songhe Feng, De Xu, Xu Yang
2010	—	`conf`	Beyond tag relevance: integrating visual attention model and multi-instance learning for tag saliency ranking. CIVR Songhe Feng, Congyan Lang, De Xu
2010	J	`jnl`	Discriminating Semantic Visual Words for Scene Classification. IEICE Trans. Inf. Syst. Shuoyan Liu, De Xu, Songhe Feng
2010	J	`jnl`	Transductive Multi-Instance Multi-Label learning algorithm with application to automatic image annotation. Expert Syst. Appl. Songhe Feng, De Xu
2009	B	`conf`	Salient region extraction based on Intensity Mapping for image retrieval. SMC Congyan Lang, De Xu, Ning Li, Songhe Feng
2008	J	`jnl`	Combining Attention Model with Hierarchical Graph Representation for Region-Based Image Retrieval. IEICE Trans. Inf. Syst. Songhe Feng, De Xu, Bing Li
2007	J	`jnl`	A Multi-Scale Adaptive Grey World Algorithm. IEICE Trans. Inf. Syst. Bing Li, De Xu, Moon Ho Lee, Songhe Feng
2007	—	`conf`	Visual Perception Theory Guided Depth Motion Estimation. MMM (1) Bing Li, De Xu, Songhe Feng, Fangshi Wang
2006	—	`conf`	A Novel Graph Kernel Based SVM Algorithm for Image Semantic Retrieval. ISNN (2) Songhe Feng, De Xu, Xu Yang, Yuliang Geng
2006	—	`conf`	A Robust and Hierarchical Approach for Camera Motion Classification. SSPR/SPR Yuliang Geng, De Xu, Songhe Feng, Jia-Zheng Yuan
2006	—	`conf`	Hierarchical Video Summarization Based on Video Structure and Highlight. SSPR/SPR Yuliang Geng, De Xu, Songhe Feng
2006	—	`conf`	Locating Salient Edges for CBIR Based on Visual Attention Model. ICNC (1) Songhe Feng, De Xu
2006	—	`conf`	Perceptual Depth Estimation from a Single 2D Image Based on Visual Perception Theory. PCM Bing Li, De Xu, Songhe Feng, Aimin Wu, Xu Yang
2006	—	`conf`	Two Important Action Scenes Detection Based on Probability Neural Networks. ISNN (2) Yuliang Geng, De Xu, Jia-Zheng Yuan, Songhe Feng
2005	B	`conf`	A Novel Region-Based Image Retrieval Algorithm Using Selective Visual Attention Model. ACIVS Songhe Feng, De Xu, Xu Yang, Aimin Wu