Perception-Oriented Prominent Region Detection in Video Sequences Using Fuzzy Inference Neural Network. - Congyan Lang; De Xu; Xu Yang 001; Yiwei Jiang; Wengang Cheng (ISNN (2), 2005)

Information Theoretic Metrics in Shot Boundary Detection. - Wengang Cheng; De Xu; Yiwei Jiang; Congyan Lang (KES (3), 2005)

Shot Type Classification in Sports Video Using Fuzzy Information Granular. - Congyan Lang; De Xu; Wengang Cheng; Yiwei Jiang (KES (2), 2005)

3-DWT Based Motion Suppression for Video Shot Boundary Detection. - Xu Yang 001; De Xu; Guan Tengfei; Aimin Wu; Congyan Lang (KES (2), 2005)

Perception-Oriented Prominent Region Detection in Video Sequences. - Congyan Lang; De Xu; Xu Yang 001 (Informatica (Slovenia), 2005)

A Visual Inpainting Method Based on the Compressed Domain. - Yiwei Jiang; De Xu; Moon Ho Lee; Congyan Lang (IEICE Trans. Inf. Syst., 2007)

Modeling Bottom-Up Visual Attention for Color Images. - Congyan Lang; De Xu; Ning Li (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)

Moving Object Completion on the Compressed Domain. - Yiwei Jiang; De Xu; Na Liu; Congyan Lang (IEICE Trans. Inf. Syst., 2009)

Adaptive Non-linear Intensity Mapping Based Salient Region Extraction. - Congyan Lang; De Xu; Shuoyan Liu; Ning Li (IEICE Trans. Inf. Syst., 2009)

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

Visual Morphing Based on the Compressed Domain. - Yiwei Jiang; De Xu; Na Liu; Congyan Lang (J. Inf. Sci. Eng., 2010)

An Adaptive Tone Mapping Method for Displaying High Dynamic Range Images. - Jinhua Wang; De Xu; Congyan Lang; Bing Li 001 (J. Inf. Sci. Eng., 2010)

Video-Based Illumination Estimation. - Ning Wang; Brian V. Funt; Congyan Lang; De Xu (CCIW, 2011)

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

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

Exposure Fusino Based on Shift-Invariant Discrete Wavelet Transform. - Jinhua Wang; De Xu; Congyan Lang; Bing Li 001 (J. Inf. Sci. Eng., 2011)

Depth Matters: Influence of Depth Cues on Visual Saliency. - Congyan Lang; Tam V. Nguyen 002; Harish Katti; Karthik Yadati; Mohan S. Kankanhalli; Shuicheng Yan (ECCV (2), 2012)

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

Towards a universal detector by mining concepts with small semantic gaps. - Congyan Lang; Jiashi Feng; Yantao Zheng (Expert Syst. Appl., 2012)

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

Saliency Detection by Multitask Sparsity Pursuit. - Congyan Lang; Guangcan Liu; Jian Yu 001; Shuicheng Yan (IEEE Trans. Image Process., 2012)

Salient Object Detection via Low-Rank and Structured Sparse Matrix Decomposition. - Houwen Peng; Bing Li 001; Rongrong Ji; Weiming Hu; Weihua Xiong; Congyan Lang (AAAI, 2013)

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 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)

Improving Bottom-up Saliency Detection by Looking into Neighbors. - Congyan Lang; Jiashi Feng; Guangcan Liu; Jinhui Tang 001; Shuicheng Yan; Jiebo Luo 001 (IEEE Trans. Circuits Syst. Video Technol., 2013)

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)

Age Estimation Based on Convolutional Neural Network. - Chenjing Yan; Congyan Lang; Tao Wang 011; Xuetao Du; Chen Zhang (PCM, 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)

Touch Saliency: Characteristics and Prediction. - Bingbing Ni; Mengdi Xu; Tam V. Nguyen 002; Meng Wang 001; Congyan Lang; ZhongYang Huang; Shuicheng Yan (IEEE Trans. Multim., 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)

Branching Path Following for Graph Matching. - Tao Wang 011; Haibin Ling; Congyan Lang; Jun Wu 007 (ECCV (2), 2016)

A Novel Emotional Saliency Map to Model Emotional Attention Mechanism. - Xinmiao Ding; Lulu Huang; Bing Li 001; Congyan Lang; Zhen Hua; Yuling Wang (MMM (2), 2016)

Practical anonymity models on protecting private weighted graphs. - Yidong Li; Hong Shen 001; Congyan Lang; Hairong Dong 001 (Neurocomputing, 2016)

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)

显著区域检测技术研究 (Research on Salient Region Extraction Technology). - Ye Liang 003; Jian Yu 001; Congyan Lang; Hongzhe Liu (计算机科学, 2016)

Guest Editorial: Learning Multimedia for Real World Applications. - Bing-Kun Bao; Congyan Lang; Tao Mei 001; Alberto Del Bimbo (Multim. Tools Appl., 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)

Towards Real World Human Parsing: Multiple-Human Parsing in the Wild. - Jianshu Li; Jian Zhao 006; Yunchao Wei; Congyan Lang; Yidong Li; Jiashi Feng (CoRR, 2017)

Salient object detection of social images based on semantic tag context. - Ye Liang 003; Congyan Lang; Jian Yu 001; Hongzhe Liu (Int. J. Sens. Networks, 2017)

Multi-task clustering ELM for VIS-NIR cross-modal feature learning. - Yi Jin 001; Jie Li; Congyan Lang; Qiuqi Ruan (Multidimens. Syst. Signal Process., 2017)

Multiple path exploration for graph matching. - Ran Chen; Congyan Lang; Tao Wang 011 (Mach. Vis. Appl., 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)

Stabilizing video facial landmark detection and tracking via global and local filtering. - Xingyan Guo; Yi Jin 001; Yidong Li; Junliang Xing; Congyan Lang (ICIMCS, 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)

Deep Age Estimation Model Stabilization from Images to Videos. - Zhipeng Ji; Congyan Lang; Kai Li 023; Junliang Xing (ICPR, 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)

Saliency Aggregation: Multifeature and Neighbor Based Salient Region Detection for Social Images. - Ye Liang 003; Congyan Lang; Jian Yu 001; Hongzhe Liu; Nan Ma (Appl. Comput. Intell. Soft Comput., 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)

Learning Structural Similarity with Evolutionary-GAN: A New Face De-identification Method. - Juan Song; Yi Jin 001; Yidong Li; Congyan Lang (BESC, 2019)

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

Unsupervised Person Re-identification Based on Clustering and Domain-Invariant Network. - Yangru Huang; Yi Jin 001; Peixi Peng; Congyan Lang; Yidong Li (ICIG (3), 2019)

Vehicle Re-Identification by Multi-Grain Learni. - Xiaoliang Yang; Congyan Lang; Peixi Peng; Junliang Xing (ICIP, 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)

Realtime Human Segmentation in Video. - Tairan Zhang; Congyan Lang; Junliang Xing (MMM (2), 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)

Joint Learning of Dictionary and Convolutional Network for Pedestrian Attribute Recognition. - Yan Sha; Congyan Lang; Peixi Peng; Junliang Xing; Danxia Li (VCIP, 2019)

Deep Reasoning with Multi-scale Context for Salient Object Detection. - Zun Li 001; Congyan Lang; Yunpeng Chen; Jun Hao Liew; Jiashi Feng (CoRR, 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)

Salient object detection with side information. - Qiuning Li; Yidong Li; Congyan Lang (Sci. China Inf. Sci., 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)

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

PST-NET: Point Cloud Sampling via Point-Based Transformer. - Xu Wang 053; Yi Jin 001; Yigang Cen; Congyan Lang; Yidong Li (ICIG (3), 2021)

MSO: Multi-Feature Space Joint Optimization Network for RGB-Infrared Person Re-Identification. - Yajun Gao; Tengfei Liang; Yi Jin 001; Xiaoyan Gu 001; Wu Liu; Yidong Li; Congyan Lang (ACM Multimedia, 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)

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)

Deep spatio-frequency saliency detection. - Zun Li 001; Congyan Lang; Tao Wang 011; Yidong Li; Jiashi Feng (Neurocomputing, 2021)

Entropy-aware self-training for graph convolutional networks. - Gongpei Zhao; Tao Wang 011; Yidong Li; Yi Jin 001; Congyan Lang (Neurocomputing, 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)

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)

Cross-Layer Feature Pyramid Network for Salient Object Detection. - Zun Li 001; Congyan Lang; Jun Hao Liew; Yidong Li; Qibin Hou; Jiashi Feng (IEEE Trans. Image Process., 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)

Multi-human Parsing with a Graph-based Generative Adversarial Model. - Jianshu Li; Jian Zhao 006; Congyan Lang; Yidong Li; Yunchao Wei; Guodong Guo; Terence Sim; Shuicheng Yan; Jiashi Feng (ACM Trans. Multim. Comput. Commun. Appl., 2021)

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

CMAN: Leaning Global Structure Correlation for Monocular 3D Object Detection. - Yuanzhouhan Cao; Hui Zhang 091; Yidong Li; Chao Ren 002; Congyan Lang (IEEE Trans. Intell. Transp. Syst., 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)

SMM: Self-supervised Multi-Illumination Color Constancy Model with Multiple Pretext Tasks. - Ziyu Feng; Zheming Xu; Haina Qin; Congyan Lang; Bing Li 001; Weihua Xiong (ACM Multimedia, 2023)

Depth guided feature selection for RGBD salient object detection. - Zun Li 001; Congyan Lang; Guanqin Li; Tao Wang 011; Yidong Li (Neurocomputing, 2023)

Collaborative Perception in Autonomous Driving: Methods, Datasets, and Challenges. - Yushan Han; Hui Zhang 091; Huifang Li; Yi Jin 001; Congyan Lang; Yidong Li (IEEE Intell. Transp. Syst. Mag., 2023)

Joint Graph Learning and Matching for Semantic Feature Correspondence. - He Liu; Tao Wang 011; Yidong Li; Congyan Lang; Yi Jin 001; Haibin Ling (Pattern Recognit., 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)

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

Integrating topology beyond descriptions for zero-shot learning. - Ziyi Chen; Yutong Gao 001; Congyan Lang; Lili Wei; Yidong Li; Hongzhe Liu; Fayao Liu (Pattern Recognit., 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)

RL-SeqISP: Reinforcement Learning-Based Sequential Optimization for Image Signal Processing. - Xinyu Sun; Zhikun Zhao; Lili Wei; Congyan Lang; Mingxuan Cai; Longfei Han; Juan Wang 012; Bing Li 001; Yuxuan Guo (AAAI, 2024)

Enhancing Multimedia Applications by Removing Dynamic Objects in Neural Radiance Fields. - XianBen Yang; Tao Wang 011; He Liu; Yi Jin 001; Congyan Lang; Yidong Li (ACCV (10), 2024)

Joint Homophily and Heterophily Relational Knowledge Distillation for Efficient and Compact 3D Object Detection. - Shidi Chen; Lili Wei; Liqian Liang; Congyan Lang (ACM Multimedia, 2024)

Generated and Pseudo Content guided Prototype Refinement for Few-shot Point Cloud Segmentation. - Lili Wei; Congyan Lang; Ziyi Chen; Tao Wang 011; Yidong Li; Jun Liu 036 (NeurIPS, 2024)

DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment. - Gongpei Zhao; Tao Wang 011; Congyan Lang; Yi Jin 001; Yidong Li; Haibin Ling (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)

GrassNet: State Space Model Meets Graph Neural Network. - Gongpei Zhao; Tao Wang 011; Yi Jin 001; Congyan Lang; Yidong Li; Haibin Ling (CoRR, 2024)

Knowledge Transfer and Domain Adaptation for Fine-Grained Remote Sensing Image Segmentation. - Shun Zhang; Xuechao Zou; Kai Li 023; Congyan Lang; Shiying Wang; Pin Tao; Tengfei Cao (CoRR, 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)

Dynamic Interaction Dilation for Interactive Human Parsing. - Yutong Gao 001; Congyan Lang; Fayao Liu; Yuanzhouhan Cao; Lijuan Sun; Yunchao Wei (IEEE Trans. Multim., 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)

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)

A Hubness Perspective on Representation Learning for Graph-Based Multi-View Clustering. - Zheming Xu; He Liu; Congyan Lang; Tao Wang 011; Yidong Li; Michael C. Kampffmeyer (CVPR, 2025)

UNAGI: Unified neighbor-aware graph neural network for multi-view clustering. - Zheming Xu; Congyan Lang; Lili Wei; Liqian Liang; Tao Wang 011; Yidong Li; Michael C. Kampffmeyer (Neural Networks, 2025)

The Cascaded Forward algorithm for neural network training. - Gongpei Zhao; Tao Wang 011; Yi Jin 001; Congyan Lang; Yidong Li; Haibin Ling (Pattern Recognit., 2025)

Adapting Vision Foundation Models for Robust Cloud Segmentation in Remote Sensing Images. - Xuechao Zou; Shun Zhang; Kai Li 023; Shiying Wang; Junliang Xing; Lei Jin 003; Congyan Lang; Pin Tao (IEEE Trans. Geosci. Remote. Sens., 2025)

Few-Shot 3D Point Cloud Segmentation via Relation Consistency-Guided Heterogeneous Prototypes. - Lili Wei; Congyan Lang; Zheming Xu; Liqian Liang; Jun Liu 036 (IEEE Trans. Multim., 2025)

Dynamic Dictionary Learning for Remote Sensing Image Segmentation. - Xuechao Zou; Yue Li; Shun Zhang; Kai Li 023; Shiying Wang; Pin Tao; Junliang Xing; Congyan Lang (CoRR, 2025)

Mining Semantic Correlations Between Mispredictions and Corrections for Interactive Semantic Segmentation. - Yutong Gao 001; Congyan Lang; Fayao Liu; Chuan-Sheng Foo; Yuanzhouhan Cao; Lijuan Sun; Yunchao Wei (IEEE Trans. Neural Networks Learn. Syst., 2025)

Deep Probabilistic Graph Matching. - He Liu; Tao Wang 011; Congyan Lang; Yidong Li; Haibin Ling (IEEE Trans. Knowl. Data Eng., 2025)