Novel object recognition based on hypothesis generation and verification. - Zhenfeng Zhu; Hanqing Lu; Zhenglong Li 001 (ICIG, 2004)

Car Detection Based on Multi-Cues Integration. - Zhenfeng Zhu; Hanqing Lu; James Hu; Keiichi Uchimura (ICPR (2), 2004)

A new robust circular Gabor based object matching by using weighted Hausdorff distance. - Zhenfeng Zhu; Ming Tang 001; Hanqing Lu (Pattern Recognit. Lett., 2004)

An Anamnestic Semantic Tree-Based Relevance Feedback Method in CBIR System. - Xiaoxia Xie; Yao Zhao 001; Zhenfeng Zhu (ICICIC (3), 2006)

Seeking User's Query Concept Dynamically Based on Region in Relevance Feedback. - Yufeng Zhao; Yao Zhao 001; Zhenfeng Zhu (ICICIC (2), 2006)

Multi-Scale Analysis of Odd Gabor Transform for Edge Detection. - Zhenfeng Zhu; Hanqing Lu; Yao Zhao 001 (ICICIC (2), 2006)

A Comprehensive Analysis for Relevance Feedback in CBIR System. - Xiaoxia Xie; Yao Zhao 001; Zhenfeng Zhu (SPPRA, 2006)

Relevance Feedback based on Query Refining and Feature Database Updating in CBIR System. - Yufeng Zhao; Yao Zhao 001; Zhenfeng Zhu (SPPRA, 2006)

BJTU TRECVID 2006 Video Retrieval System. - Shikui Wei; Yao Zhao 001; Zhenfeng Zhu; Nan Liu 007; Yufeng Zhao; Liang Zhang; Fang Wang (TRECVID, 2006)

Sequential Architecture for Efficient Car Detection. - Zhenfeng Zhu; Yao Zhao 001; Hanqing Lu (CVPR, 2007)

Robust Commercial Detection System. - Liang Zhang; Zhenfeng Zhu; Yao Zhao 001 (ICME, 2007)

BJTU TRECVID 2007 Video Search. - Shikui Wei; Yao Zhao 001; Zhenfeng Zhu; Nan Liu 007; Yufeng Zhao; Fang Wang; Xie Lin (TRECVID, 2007)

Scale multiplication in odd Gabor transform domain for edge detection. - Zhenfeng Zhu; Hanqing Lu; Yao Zhao 001 (J. Vis. Commun. Image Represent., 2007)

Strategy of combining random subspace and diversified active learning in CBIR. - Fang Wang; Zhenfeng Zhu; Yao Zhao 001 (ICIP, 2008)

MRS-MIL: Minimum reference set based multiple instance learning for automatic image annotation. - Yufeng Zhao; Yao Zhao 001; Zhenfeng Zhu; Jeng-Shyang Pan 001 (ICIP, 2008)

A Unified System for Web Personal Image Retrieval. - Lin Xie; Yao Zhao 001; Zhenfeng Zhu (IIH-MSP, 2008)

A Novel Image Annotation Scheme Based on Neural Network. - Yufeng Zhao; Yao Zhao 001; Zhenfeng Zhu; Jeng-Shyang Pan 001 (ISDA (3), 2008)

Ontology-Based Inter-concept Relation Fusion for Concept Detection. - Shikui Wei; Yao Zhao 001; Zhenfeng Zhu (PCM, 2008)

MR-MIL: Manifold Ranking Based Multiple-Instance Learning for Automatic Image Annotation. - Yufeng Zhao; Yao Zhao 001; Zhenfeng Zhu; Jeng-Shyang Pan 001 (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2008)

Co-training for search-based automatic image annotation. - Yufeng Zhao; Yao Zhao 001; Zhenfeng Zhu (J. Digit. Inf. Manag., 2008)

An Integrative Codebook for Natural Scene Categorization. - Guanghua Gu; Yao Zhao 001; Zhenfeng Zhu (IIH-MSP, 2009)

TSVM-HMM: Transductive SVM based hidden Markov model for automatic image annotation. - Yufeng Zhao; Yao Zhao 001; Zhenfeng Zhu (Expert Syst. Appl., 2009)

PM1 steganography in JPEG images using genetic algorithm. - Lifang Yu; Yao Zhao 001; Rongrong Ni; Zhenfeng Zhu (Soft Comput., 2009)

Transfer incremental learning for pattern classification. - Zhenfeng Zhu; Xingquan Zhu 001; Yue-Fei Guo; Xiangyang Xue 001 (CIKM, 2010)

Multi-modal characteristics analysis and fusion for TV commercial detection. - Nan Liu 007; Yao Zhao 001; Zhenfeng Zhu; Hanqing Lu (ICME, 2010)

Kernel Canonical Correlation with Similarity Refinement for Automatic Image Tagging. - Yanhui Xiao; Yao Zhao 001; Zhenfeng Zhu (IIH-MSP, 2010)

Commercial Recognition in TV Streams Using Coarse-to-Fine Matching Strategy. - Nan Liu 007; Yao Zhao 001; Zhenfeng Zhu (PCM (1), 2010)

Commercial Shot Classification Based on Multiple Features Combination. - Nan Liu 007; Yao Zhao 001; Zhenfeng Zhu; Rongrong Ni (IEICE Trans. Inf. Syst., 2010)

Normalized dimensionality reduction using nonnegative matrix factorization. - Zhenfeng Zhu; Yue-Fei Guo; Xingquan Zhu 001; Xiangyang Xue 001 (Neurocomputing, 2010)

Multimodal Fusion for Video Search Reranking. - Shikui Wei; Yao Zhao 001; Zhenfeng Zhu; Nan Liu 007 (IEEE Trans. Knowl. Data Eng., 2010)

A Cooperative Learning Scheme for Interactive Video Search. - Shikui Wei; Yao Zhao 001; Zhenfeng Zhu; Nan Liu 007 (J. Signal Process. Syst., 2010)

Transfer active learning. - Zhenfeng Zhu; Xingquan Zhu 001; Yangdong Ye; Yue-Fei Guo; Xiangyang Xue 001 (CIKM, 2011)

Pruned multi-level successive elimination algorithm for TV commercial recognition. - Houde Yang; Nan Liu 007; Yao Zhao 001; Zhenfeng Zhu (ICIMCS, 2011)

Integrated image representation based natural scene classification. - Guanghua Gu; Yao Zhao 001; Zhenfeng Zhu (Expert Syst. Appl., 2011)

Frame Fusion for Video Copy Detection. - Shikui Wei; Yao Zhao 001; Ce Zhu; Changsheng Xu; Zhenfeng Zhu (IEEE Trans. Circuits Syst. Video Technol., 2011)

Exploiting Visual-Audio-Textual Characteristics for Automatic TV Commercial Block Detection and Segmentation. - Nan Liu 007; Yao Zhao 001; Zhenfeng Zhu; Hanqing Lu (IEEE Trans. Multim., 2011)

Parallel proximal support vector machine for high-dimensional pattern classification. - Zhenfeng Zhu; Xingquan Zhu 001; Yangdong Ye; Yue-Fei Guo; Xiangyang Xue 001 (CIKM, 2012)

Graph Regularized ICA for Over-Complete Feature Learning. - Yanhui Xiao; Zhenfeng Zhu; Yao Zhao 001 (CVM, 2012)

Incremental Shared Subspace Learning for Multi-label Classification. - Lei Zhang 116; Yao Zhao 001; Zhenfeng Zhu (CVM, 2012)

Correlation preserved dictionary learning for sparse representation. - Yanhui Xiao; Zhenfeng Zhu; Yao Zhao 001 (ICIMCS, 2012)

Knowledge Transferring for Image Classification. - Yunchao Wei; Yao Zhao 001; Zhenfeng Zhu; Yanhui Xiao (IIH-MSP, 2012)

Discriminative ICA model with reconstruction constraint for image classification. - Yanhui Xiao; Zhenfeng Zhu; Shikui Wei; Yao Zhao 001 (ACM Multimedia, 2012)

An Interactive Semi-supervised Approach for Automatic Image Annotation. - Yanhui Xiao; Zhenfeng Zhu; Nan Liu 007; Yao Zhao 001 (PCM, 2012)

Information Bottleneck with Local Consistency. - Zhengzheng Lou; Yangdong Ye; Zhenfeng Zhu (PRICAI, 2012)

RST transforms resistant image watermarking based on centroid and sector-shaped partition. - Yao Zhao 001; Rongrong Ni; Zhenfeng Zhu (Sci. China Inf. Sci., 2012)

Inverse matrix-free incremental proximal support vector machine. - Zhenfeng Zhu; Xingquan Zhu 001; Yue-Fei Guo; Yangdong Ye; Xiangyang Xue 001 (Decis. Support Syst., 2012)

TV Commercial Categorization Based on Sparse Visual Bag of Words. - Zhenfeng Zhu; Nan Liu 007; Yao Zhao 001 (ICIG, 2013)

Frame filtering and path verification for improving video copy detection. - Su Jiang; Yao Zhao 001; Shikui Wei; Rongrong Ni; Zhenfeng Zhu (ICIMCS, 2013)

Multiple PiPs detection in unbounded video stream. - Chengdong Cui; Yao Zhao 001; Shikui Wei; Zhenfeng Zhu (ICME Workshops, 2013)

Neighborhood reversibility verifying for image search. - Zhong Zheng; Yao Zhao 001; Shikui Wei; Zhenfeng Zhu (ICME, 2013)

Orthogonal graph-regularized matrix factorization and its application for recommendation. - Zhenfeng Zhu; Peilu Xin; Shikui Wei; Yao Zhao 001 (ICME, 2013)

Kernel Reconstruction ICA for Sparse Representation - Yanhui Xiao; Zhenfeng Zhu; Yao Zhao 001 (CoRR, 2013)

Class-Driven Non-Negative Matrix Factorization for Image Representation. - Yanhui Xiao; Zhenfeng Zhu; Yao Zhao 001; Yunchao Wei (J. Comput. Sci. Technol., 2013)

Dynamic threshold model based probabilistic latent semantic analysis. - Yiming Wang; Yangdong Ye; Zhenfeng Zhu (FSKD, 2014)

Learning a mid-level feature space for cross-media regularization. - Yunchao Wei; Yao Zhao 001; Zhenfeng Zhu; Yanhui Xiao; Shikui Wei (ICME, 2014)

Ensemble dictionary learning for saliency detection. - Zhenfeng Zhu; Qian Chen; Yao Zhao 001 (Image Vis. Comput., 2014)

Shared Subspace Learning for Latent Representation of Multi-View Data. - Zhenfeng Zhu; Linlin Du; Lei Zhang 116; Yao Zhao 001 (J. Inf. Hiding Multim. Signal Process., 2014)

Topographic NMF for Data Representation. - Yanhui Xiao; Zhenfeng Zhu; Yao Zhao 001; Yunchao Wei; Shikui Wei; Xuelong Li 001 (IEEE Trans. Cybern., 2014)

Salient Region Detection by Fusing Bottom-Up and Top-Down Features Extracted From a Single Image. - Huawei Tian; Yuming Fang; Yao Zhao 001; Weisi Lin; Rongrong Ni; Zhenfeng Zhu (IEEE Trans. Image Process., 2014)

Mining Semantically Consistent Patterns for Cross-View Data. - Lei Zhang 116; Yao Zhao 001; Zhenfeng Zhu; Shikui Wei; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 2014)

Extracting shared subspace incrementally for multi-label image classification. - Lei Zhang 116; Yao Zhao 001; Zhenfeng Zhu (Vis. Comput., 2014)

Light-Weight Spatial Distribution Embedding of Adjacent Features for Image Search. - Yan Zhang; Yao Zhao 001; Shikui Wei; Zhenfeng Zhu (CCCV (1), 2015)

Heterogeneous data alignment for cross-media computing. - Shikui Wei; Yunchao Wei; Lei Zhang 116; Zhenfeng Zhu; Yao Zhao 001 (ICIMCS, 2015)

Photo linker: a system for finding your old photos based on fragmentary memories. - Shikui Wei; Fan Yang; Tao Ruan; Ruoyu Liu; Zhenfeng Zhu; Yao Zhao 001 (ICIMCS, 2015)

Cross-media hashing with Centroid Approaching. - Ruoyu Liu; Yao Zhao 001; Shikui Wei; Zhenfeng Zhu (ICME, 2015)

When Personalization Meets Conformity: Collective Similarity based Multi-Domain Recommendation. - Xi Zhang 018; Jian Cheng 001; Shuang Qiu 002; Zhenfeng Zhu; Hanqing Lu (SIGIR, 2015)

Indexing of CNN Features for Large Scale Image Search. - Ruoyu Liu; Yao Zhao 001; Shikui Wei; Zhenfeng Zhu; Lixin Liao; Shuang Qiu (CoRR, 2015)

Redundancy filtering and fusion verification for video copy detection. - Shikui Wei; Su Jiang; Wenxian Jin; Yao Zhao 001; Rongrong Ni; Zhenfeng Zhu (Multim. Syst., 2015)

Accumulated reconstruction error vector (AREV): a semantic representation for cross-media retrieval. - Kai Liu; Shikui Wei; Yao Zhao 001; Zhenfeng Zhu; Yunchao Wei; Changsheng Xu (Multim. Tools Appl., 2015)

Sparsity Learning Formulations for Mining Time-Varying Data. - Rongjian Li; Wenlu Zhang; Yao Zhao 001; Zhenfeng Zhu; Shuiwang Ji (IEEE Trans. Knowl. Data Eng., 2015)

Kernel Reconstruction ICA for Sparse Representation. - Yanhui Xiao; Zhenfeng Zhu; Yao Zhao 001; Yunchao Wei; Shikui Wei (IEEE Trans. Neural Networks Learn. Syst., 2015)

LSSLP - Local structure sensitive label propagation. - Zhenfeng Zhu; Jian Cheng 001; Yao Zhao 001; Jieping Ye (Inf. Sci., 2016)

Text Detection Based On Discriminative Dictionary Learning. - Chong-Ming Zhao; Zhenfeng Zhu; Yao Zhao 001 (J. Inf. Hiding Multim. Signal Process., 2016)

Modality-Dependent Cross-Media Retrieval. - Yunchao Wei; Yao Zhao 001; Zhenfeng Zhu; Shikui Wei; Yanhui Xiao; Jiashi Feng; Shuicheng Yan (ACM Trans. Intell. Syst. Technol., 2016)

Unsupervised Multi-view Subspace Learning via Maximizing Dependence. - Meixiang Xu; Zhenfeng Zhu; Yao Zhao 001 (CCCV (2), 2017)

De-biased dart ensemble model for personalized recommendation. - Deqiang Kong; Jingyuan Tang; Zhenfeng Zhu; Jian Cheng 001; Yao Zhao 001 (ICME, 2017)

Cross-Modal Retrieval With CNN Visual Features: A New Baseline. - Yunchao Wei; Yao Zhao 001; Canyi Lu; Shikui Wei; Luoqi Liu; Zhenfeng Zhu; Shuicheng Yan (IEEE Trans. Cybern., 2017)

Self-Supervised Deep Low-Rank Assignment Model for Prototype Selection. - Xingxing Zhang 001; Zhenfeng Zhu; Yao Zhao 001; Deqiang Kong (IJCAI, 2018)

Multiview Cross-Media Hashing with Semantic Consistency. - Ruoyu Liu; Shikui Wei; Yao Zhao 001; Zhenfeng Zhu; Jingdong Wang 001 (IEEE Multim., 2018)

Subspace learning by kernel dependence maximization for cross-modal retrieval. - Meixiang Xu; Zhenfeng Zhu; Yao Zhao 001; Fuming Sun (Neurocomputing, 2018)

Sparsity induced prototype learning via ℓp, 1-norm grouping. - Xingxing Zhang 001; Zhenfeng Zhu; Yao Zhao 001 (J. Vis. Commun. Image Represent., 2018)

Learning a General Assignment Model for Video Analytics. - Xingxing Zhang 001; Zhenfeng Zhu; Yao Zhao 001; Dongxia Chang (IEEE Trans. Circuits Syst. Video Technol., 2018)

Multi-View Missing Data Completion. - Lei Zhang 116; Yao Zhao 001; Zhenfeng Zhu; Dinggang Shen; Shuiwang Ji (IEEE Trans. Knowl. Data Eng., 2018)

Learning Heterogeneous Spatial-Temporal Representation for Bike-Sharing Demand Prediction. - Youru Li; Zhenfeng Zhu; Deqiang Kong; Meixiang Xu; Yao Zhao 001 (AAAI, 2019)

ATZSL: Defensive Zero-Shot Recognition in the Presence of Adversaries. - Xingxing Zhang 001; Shupeng Gui; Zhenfeng Zhu; Yao Zhao 001; Ji Liu 002 (CoRR, 2019)

ProLFA: Representative Prototype Selection for Local Feature Aggregation. - Xingxing Zhang 001; Zhenfeng Zhu; Yao Zhao 001 (CoRR, 2019)

Diffusion induced graph representation learning. - Fuzhen Li; Zhenfeng Zhu; Xingxing Zhang 001; Jian Cheng 001; Yao Zhao 001 (Neurocomputing, 2019)

EA-LSTM: Evolutionary attention-based LSTM for time series prediction. - Youru Li; Zhenfeng Zhu; Deqiang Kong; Hua Han 001; Yao Zhao 001 (Knowl. Based Syst., 2019)

Towards learning a semantic-consistent subspace for cross-modal retrieval. - Meixiang Xu; Zhenfeng Zhu; Yao Zhao 001 (Multim. Tools Appl., 2019)

From Night to Day: GANs Based Low Quality Image Enhancement. - Yingying Meng; Deqiang Kong; Zhenfeng Zhu; Yao Zhao 001 (Neural Process. Lett., 2019)

Edge Heuristic GAN for Non-Uniform Blind Deblurring. - Shuai Zheng 005; Zhenfeng Zhu; Jian Cheng 001; Yandong Guo; Yao Zhao 001 (IEEE Signal Process. Lett., 2019)

Seeing All From a Few: ℓ1-Norm-Induced Discriminative Prototype Selection. - Xingxing Zhang 001; Zhenfeng Zhu; Yao Zhao 001; Dongxia Chang; Ji Liu 002 (IEEE Trans. Neural Networks Learn. Syst., 2019)

SWE: a novel method with semantic-weighted edge for measuring gene functional similarity. - Zhen Tian; Haichuan Fang; Yangdong Ye; Zhenfeng Zhu (BIBM, 2020)

Distribution-Induced Bidirectional Generative Adversarial Network for Graph Representation Learning. - Shuai Zheng 005; Zhenfeng Zhu; Xingxing Zhang 001; Zhizhe Liu; Jian Cheng 001; Yao Zhao 001 (CVPR, 2020)

CCAE: Cross-field categorical attributes embedding for cancer clinical endpoint prediction. - Youru Li; Zhenfeng Zhu; Haiyan Wu; Silu Ding; Yao Zhao 001 (Artif. Intell. Medicine, 2020)

From Anchor Generation to Distribution Alignment: Learning a Discriminative Embedding Space for Zero-Shot Recognition. - Fuzhen Li; Zhenfeng Zhu; Xingxing Zhang 001; Jian Cheng 001; Yao Zhao 001 (CoRR, 2020)

Taking Modality-free Human Identification as Zero-shot Learning. - Zhizhe Liu; Xingxing Zhang 001; Zhenfeng Zhu; Shuai Zheng 005; Yao Zhao 001; Jian Cheng 001 (CoRR, 2020)

ProLFA: Representative prototype selection for local feature aggregation. - Xingxing Zhang 001; Zhenfeng Zhu; Yao Zhao 001; Yawei Zhao (Neurocomputing, 2020)

DKEN: Deep knowledge-enhanced network for recommender systems. - Xiaobo Guo; Wenfang Lin; Youru Li; Zhongyi Liu; Lin Yang; Shuliang Zhao; Zhenfeng Zhu (Inf. Sci., 2020)

Convolutional prototype learning for zero-shot recognition. - Zhizhe Liu; Xingxing Zhang 001; Zhenfeng Zhu; Shuai Zheng 005; Yao Zhao 001; Jian Cheng 001 (Image Vis. Comput., 2020)

Canonical Correlation Analysis With L2, 1-Norm for Multiview Data Representation. - Meixiang Xu; Zhenfeng Zhu; Xingxing Zhang 001; Yao Zhao 001; Xuelong Li 001 (IEEE Trans. Cybern., 2020)

Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study. - Wenhan Yang; Ye Yuan 012; Wenqi Ren; Jiaying Liu 001; Walter J. Scheirer; Zhangyang Wang; Taiheng Zhang; Qiaoyong Zhong; Di Xie; Shiliang Pu; Yuqiang Zheng; Yanyun Qu; et al. (IEEE Trans. Image Process., 2020)

Hierarchical Prototype Learning for Zero-Shot Recognition. - Xingxing Zhang 001; Shupeng Gui; Zhenfeng Zhu; Yao Zhao 001; Ji Liu 002 (IEEE Trans. Multim., 2020)

Coarse-to-Fine Learning Framework for Semi-supervised Multimodal MRI Synthesis. - Kun Yan; Zhizhe Liu; Shuai Zheng 005; Zhenyu Guo; Zhenfeng Zhu; Yao Zhao 001 (ACPR (2), 2021)

CETransformer: Casual Effect Estimation via Transformer Based Representation Learning. - Zhenyu Guo; Shuai Zheng 005; Zhizhe Liu; Kun Yan; Zhenfeng Zhu (PRCV (4), 2021)

Deep learning based torsional nystagmus detection for dizziness and vertigo diagnosis. - Wanlu Zhang; Haiyan Wu; Yang Liu 235; Shuai Zheng 005; Zhizhe Liu; Youru Li; Yao Zhao 001; Zhenfeng Zhu (Biomed. Signal Process. Control., 2021)

Adversarial Graph Disentanglement. - Shuai Zheng 005; Zhenfeng Zhu; Zhizhe Liu; Shuiwang Ji; Yao Zhao 001 (CoRR, 2021)

Multi-modal Graph Learning for Disease Prediction. - Shuai Zheng 005; Zhenfeng Zhu; Zhizhe Liu; Zhenyu Guo; Yang Liu 235; Yao Zhao 001 (CoRR, 2021)

To See in the Dark: N2DGAN for Background Modeling in Nighttime Scene. - Zhenfeng Zhu; Yingying Meng; Deqiang Kong; Xingxing Zhang 001; Yandong Guo; Yao Zhao 001 (IEEE Trans. Circuits Syst. Video Technol., 2021)

HistoSegResT: A Weakly Supervised Learning Method for Histopathology Image Segmentation. - Wen Gu; Shenghui Wang 003; Shuaihua Zhao; Lili Wan; Zhenfeng Zhu (ICIGP, 2022)

SGT: Scene Graph-Guided Transformer for Surgical Report Generation. - Chen Lin; Shuai Zheng 005; Zhizhe Liu; Youru Li; Zhenfeng Zhu; Yao Zhao 001 (MICCAI (8), 2022)

Attention-Enhanced Disentangled Representation Learning for Unsupervised Domain Adaptation in Cardiac Segmentation. - Xiaoyi Sun; Zhizhe Liu; Shuai Zheng 005; Chen Lin; Zhenfeng Zhu; Yao Zhao 001 (MICCAI (8), 2022)

A novel gene functional similarity calculation model by utilizing the specificity of terms and relationships in gene ontology. - Zhen Tian; Haichuan Fang; Yangdong Ye; Zhenfeng Zhu (BMC Bioinform., 2022)

In progress. - Zongyu Li; Zhenfeng Zhu; Zhenyu Guo (CoRR, 2022)

Semi-Supervised Heterogeneous Graph Learning with Multi-level Data Augmentation. - Ying Chen; Siwei Qiang; Mingming Ha; Xiaolei Liu; Shaoshuai Li; Lingfeng Yuan; Xiaobo Guo; Zhenfeng Zhu (CoRR, 2022)

MFHI: Taking Modality-Free Human Identification as Zero-Shot Learning. - Zhizhe Liu; Xingxing Zhang 001; Zhenfeng Zhu; Shuai Zheng 005; Yao Zhao 001; Jian Cheng 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Margin Preserving Self-Paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation. - Zhizhe Liu; Zhenfeng Zhu; Shuai Zheng 005; Yang Liu 235; Jiayu Zhou; Yao Zhao 001 (IEEE J. Biomed. Health Informatics, 2022)

Multi-Modal Graph Learning for Disease Prediction. - Shuai Zheng 005; Zhenfeng Zhu; Zhizhe Liu; Zhenyu Guo; Yang Liu 235; Yuchen Yang; Yao Zhao 001 (IEEE Trans. Medical Imaging, 2022)

MHSCNET: A Multimodal Hierarchical Shot-Aware Convolutional Network for Video Summarization. - Wujiang Xu; Runzhong Wang; Xiaobo Guo; Shaoshuai Li; Qiongxu Ma; Yunan Zhao; Sheng Guo 005; Zhenfeng Zhu; Junchi Yan (ICASSP, 2023)

Neural Node Matching for Multi-Target Cross Domain Recommendation. - Wujiang Xu; Shaoshuai Li; Mingming Ha; Xiaobo Guo; Qiongxu Ma; Xiaolei Liu; Linxun Chen; Zhenfeng Zhu (ICDE, 2023)

Learning Joint Relational Co-evolution in Spatial-Temporal Knowledge Graph for SMEs Supply Chain Prediction. - Youru Li; Zhenfeng Zhu; Xiaobo Guo; Linxun Chen; Zhouyin Wang; Yinmeng Wang; Bing Han 023; Yao Zhao 001 (KDD, 2023)

Disentangled Multi-factor Graph Neural Network for Non-coding RNA-Drug Resistance Association Prediction. - Hui Li; Miaomiao Sun; Kuisheng Chen; Zhenfeng Zhu (KSEM (2), 2023)

Unleashing the potential of GNNs via Bi-directional Knowledge Transfer. - Shuai Zheng 005; Zhizhe Liu; Zhenfeng Zhu; Xingxing Zhang 001; Jianxin Li 002; Yao Zhao 001 (CoRR, 2023)

Multi-view graph neural network with cascaded attention for lncRNA-miRNA interaction prediction. - Hui Li; Bin Wu 019; Miaomiao Sun; Yangdong Ye; Zhenfeng Zhu; Kuisheng Chen (Knowl. Based Syst., 2023)

CoI2A: Collaborative Inter-domain and Intra-domain Alignments for Multisource Domain Adaptation. - Chen Lin; Zhenfeng Zhu; Shenghui Wang 003; Zhenwei Shi; Yao Zhao 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Self-Supervised Surface Defect Localization via Joint De-Anomaly Reconstruction and Saliency-Guided Segmentation. - Hanyue Yang; Zhenfeng Zhu; Chen Lin; Wenjun Hui; Shenghui Wang 003; Yao Zhao 001 (IEEE Trans. Instrum. Meas., 2023)

Learning Dynamic User Interest Sequence in Knowledge Graphs for Click-Through Rate Prediction. - Youru Li; Xiaobo Guo; Wenfang Lin; Mingjie Zhong; Qunwei Li; Zhongyi Liu; Wenliang Zhong; Zhenfeng Zhu (IEEE Trans. Knowl. Data Eng., 2023)

CED: A case-level explainable paramedical diagnosis via AdaGBDT. - Zhenyu Guo; Muhao Xu; Yuchen Yang; Youru Li; Haiyan Wu; Zhenfeng Zhu; Yao Zhao 001 (Comput. Biol. Medicine, 2023)

Cooperative dual medical ontology representation learning for clinical assisted decision-making. - Muhao Xu; Zhenfeng Zhu; Youru Li; Shuai Zheng 005; Linfeng Li; Haiyan Wu; Yao Zhao 001 (Comput. Biol. Medicine, 2023)

Sylvester Equation Induced Collaborative Representation Learning for Recommendation. - Xingyuan Li 002; Zhenfeng Zhu; Shuai Zheng 005; Zhizhe Liu; Youru Li; Xiaobo Guo; Deqiang Kong; Yao Zhao 001 (IEEE Trans. Knowl. Data Eng., 2023)

DMAED: Dynamic Matte Aware Encoder-Decoder for Shadow Removal. - Yadong Zhou; Zhenfeng Zhu (CSAIDE, 2024)

Endow SAM with Keen Eyes: Temporal-Spatial Prompt Learning for Video Camouflaged Object Detection. - Wenjun Hui; Zhenfeng Zhu; Shuai Zheng 005; Yao Zhao 001 (CVPR, 2024)

FlexCare: Leveraging Cross-Task Synergy for Flexible Multimodal Healthcare Prediction. - Muhao Xu; Zhenfeng Zhu; Youru Li; Shuai Zheng 005; Yawei Zhao; Kunlun He; Yao Zhao 001 (KDD, 2024)

Cross-domain contrastive graph neural network for lncRNA-protein interaction prediction. - Hui Li; Bin Wu 019; Miaomiao Sun; Zhenfeng Zhu; Kuisheng Chen; Hong Ge (Knowl. Based Syst., 2024)

RedCDR: Dual Relation Distillation for Cancer Drug Response Prediction. - Muhao Xu; Zhenfeng Zhu; Yawei Zhao; Kunlun He; Qinghua Huang; Yao Zhao 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

The Devil Is in the Boundary: Boundary-Enhanced Polyp Segmentation. - Zhizhe Liu; Shuai Zheng 005; Xiaoyi Sun; Zhenfeng Zhu; Yawei Zhao; Xuebing Yang; Yao Zhao 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Implicit-Explicit Motion Learning for Video Camouflaged Object Detection. - Wenjun Hui; Zhenfeng Zhu; Guanghua Gu; Meiqin Liu 002; Yao Zhao 001 (IEEE Trans. Multim., 2024)

From Observation to Concept: A Flexible Multi-View Paradigm for Medical Report Generation. - Zhizhe Liu; Zhenfeng Zhu; Shuai Zheng 005; Yawei Zhao; Kunlun He; Yao Zhao 001 (IEEE Trans. Multim., 2024)

ATZSL: Defensive Zero-Shot Recognition in the Presence of Adversaries. - Xingxing Zhang 001; Shupeng Gui; Jian Jin; Zhenfeng Zhu; Yao Zhao 001 (IEEE Trans. Multim., 2024)

Node-Oriented Spectral Filtering for Graph Neural Networks. - Shuai Zheng 005; Zhenfeng Zhu; Zhizhe Liu; Youru Li; Yao Zhao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

HGV4Risk: Hierarchical Global View-guided Sequence Representation Learning for Risk Prediction. - Youru Li; Zhenfeng Zhu; Xiaobo Guo; Shaoshuai Li; Yuchen Yang; Yao Zhao 001 (ACM Trans. Knowl. Discov. Data, 2024)

Semi-Supervised Heterogeneous Graph Learning with Multi-Level Data Augmentation. - Ying Chen; Siwei Qiang; Mingming Ha; Xiaolei Liu; Shaoshuai Li; Jiabi Tong; Lingfeng Yuan; Xiaobo Guo; Zhenfeng Zhu (ACM Trans. Knowl. Discov. Data, 2024)

Graph meets probabilistic generation model: A new perspective for graph disentanglement. - Zouzhang Peng; Shuai Zheng 005; Zhenfeng Zhu; Zhizhe Liu; Jian Cheng 001; Honghui Dong; Yao Zhao 001 (Pattern Recognit., 2024)

SGT++: Improved Scene Graph-Guided Transformer for Surgical Report Generation. - Chen Lin; Zhenfeng Zhu; Yawei Zhao; Ying Zhang 015; Kunlun He; Yao Zhao 001 (IEEE Trans. Medical Imaging, 2024)

Adversarial Graph Disentanglement With Component-Specific Aggregation. - Shuai Zheng 005; Zhenfeng Zhu; Zhizhe Liu; Jian Cheng 001; Yao Zhao 001 (IEEE Trans. Artif. Intell., 2024)

Exploring Large-Scale Financial Knowledge Graph for SMEs Supply Chain Mining. - Youru Li; Zhenfeng Zhu; Linxun Chen; Bin Yang; Yaxi Wu; Xiaobo Guo; Bing Han 023; Yao Zhao 001 (IEEE Trans. Knowl. Data Eng., 2024)

Multi-Task Learning with Sequential Dependence Toward Industrial Applications: A Systematic Formulation. - Xiaobo Guo; Mingming Ha; Xuewen Tao; Shaoshuai Li; Youru Li; Zhenfeng Zhu; Zhiyong Shen; Li Ma (ACM Trans. Knowl. Discov. Data, 2024)

HKA: A Hierarchical Knowledge Alignment Framework for Multimodal Knowledge Graph Completion. - Yunhui Xu; Youru Li; Muhao Xu; Zhenfeng Zhu; Yao Zhao 001 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Few-Shot Object Counting with frequency attention and multi-perception head. - Gaoxin Ma; Xingquan Zhu 001; Zhen Tian; Yangdong Ye; Zhenfeng Zhu (Neurocomputing, 2025)

SiGNN: A spike-induced graph neural network for dynamic graph representation learning. - Dong Chen; Shuai Zheng 005; Muhao Xu; Zhenfeng Zhu; Yao Zhao 001 (Pattern Recognit., 2025)

Dynamic Graph Condensation. - Dong Chen; Shuai Zheng 005; Yeyu Yan; Muhao Xu; Zhenfeng Zhu; Yao Zhao 001; Kunlun He (CoRR, 2025)

Edge-guided conditional diffusion model for multi-contrast MRI super-resolution. - Guoning Chen; Zhenfeng Zhu; Zhizhe Liu; Chen Lin; Shuai Zheng 005; Hongli Xu; Yao Zhao 001; Kunlun He (Inf. Fusion, 2026)