A Novel Segmentation Algorithm of Fingerprint Images Based on Mean Shift. - Zhe Xue; Tong Zhao 004; Min Wu; Tiande Guo (ICIC (3), 2012)

Cross-media topic detection associated with hot search queries. - Zhe Xue; Shuqiang Jiang; Guorong Li; Qingming Huang; Weigang Zhang (ICIMCS, 2013)

Image classification by non-negative sparse coding, correlation constrained low-rank and sparse decomposition. - Chunjie Zhang; Jing Liu 001; Chao Liang 001; Zhe Xue; Junbiao Pang; Qingming Huang (Comput. Vis. Image Underst., 2014)

Topic detection in cross-media: a semi-supervised co-clustering approach. - Zhe Xue; Guorong Li; Weigang Zhang; Junbiao Pang; Qingming Huang (Int. J. Multim. Inf. Retr., 2014)

GOMES: A group-aware multi-view fusion approach towards real-world image clustering. - Zhe Xue; Guorong Li; Shuhui Wang; Chunjie Zhang; Weigang Zhang; Qingming Huang (ICME, 2015)

Joint Multi-View Representation Learning and Image Tagging. - Zhe Xue; Guorong Li; Qingming Huang (AAAI, 2016)

The Effect of Co-creation Claim on Brand Identification: The Moderating Effects of Self-construal and Product Involvement. - Changhui Ning; Zhe Xue; Nannan Xi (WHICEB, 2016)

Socio-mobile landmark recognition using local features with adaptive region selection. - Chunjie Zhang; Yifan Zhang 001; Xiaobin Zhu 001; Zhe Xue; Lei Qin; Qingming Huang; Qi Tian 001 (Neurocomputing, 2016)

Boosted random contextual semantic space based representation for visual recognition. - Chunjie Zhang; Zhe Xue; Xiaobin Zhu 001; Huanian Wang; Qingming Huang; Qi Tian 001 (Inf. Sci., 2016)

A Distributed Graph-Parallel Computing System with Lightweight Communication Overhead. - Yue Zhao 014; Kenji Yoshigoe; Jiang Bian 001; Mengjun Xie; Zhe Xue; Yong Feng (IEEE Trans. Big Data, 2016)

A high performance weak-GPS-signal-acquisition technique based on half-bit method. - Jianing Wang; Baowang Lian; Zhe Xue (ICSPCC, 2017)

Multi-label classification by exploiting local positive and negative pairwise label correlation. - Jun Huang 003; Guorong Li; Shuhui Wang; Zhe Xue; Qingming Huang (Neurocomputing, 2017)

A D-Band Amplifier in 65 nm Bulk CMOS for Short-Distance Data Center Communication. - Jiang Luo; Jin He 002; Guangyin Feng; Alit Apriyana; Ya Fang; Zhe Xue; Qijun Huang; Hao Yu 001 (IEEE Access, 2018)

Joint multi-view representation and image annotation via optimal predictive subspace learning. - Zhe Xue; Guorong Li; Qingming Huang (Inf. Sci., 2018)

PGG.Population: a database for understanding the genomic diversity and genetic ancestry of human populations. - Chao Zhang; Yang Gao; Jiaojiao Liu; Zhe Xue; Yan Lu; Lian Deng; Lei Tian 006; Qidi Feng; Shuhua Xu (Nucleic Acids Res., 2018)

Bilevel Multiview Latent Space Learning. - Zhe Xue; Guorong Li; Shuhui Wang; Weigang Zhang; Qingming Huang (IEEE Trans. Circuits Syst. Video Technol., 2018)

Deep Correlated Predictive Subspace Learning for Incomplete Multi-View Semi-Supervised Classification. - Zhe Xue; Junping Du 001; Dawei Du; Wenqi Ren; Siwei Lyu (IJCAI, 2019)

Fine-grained Cross-media Representation Learning with Deep Quantization Attention Network. - MeiYu Liang; Junping Du 001; Wu Liu; Zhe Xue; Yue Geng; Cong-Xian Yang (ACM Multimedia, 2019)

Label Correlation Guided Deep Multi-View Image Annotation. - Zhe Xue; Junping Du 001; Min Zuo; Guorong Li; Qingming Huang (IEEE Access, 2019)

A multi-feature probabilistic graphical model for social network semantic search. - Feifei Kou; Junping Du 001; Cong-Xian Yang; Yan-Song Shi; MeiYu Liang; Zhe Xue; Haisheng Li 002 (Neurocomputing, 2019)

Deep low-rank subspace ensemble for multi-view clustering. - Zhe Xue; Junping Du 001; Dawei Du; Siwei Lyu (Inf. Sci., 2019)

Beyond global fusion: A group-aware fusion approach for multi-view image clustering. - Zhe Xue; Guorong Li; Shuhui Wang; Jun Huang 003; Weigang Zhang; Qingming Huang (Inf. Sci., 2019)

A 10-Gb/s inductorless optical receiver in 0.18-μm SiGe BiCMOS. - Zhe Xue; Jin He 002; Ya Fang; Hao Wang 046; Sheng Chang; Qijun Huang; Yinxia Zhu (Microelectron. J., 2019)

Deep Constrained Low-Rank Subspace Learning for Multi-View Semi-Supervised Classification. - Zhe Xue; Junping Du 001; Dawei Du; Guorong Li; Qingming Huang; Siwei Lyu (IEEE Signal Process. Lett., 2019)

Extended search method based on a semantic hashtag graph combining social and conceptual information. - Wanqiu Cui; Junping Du 001; Dawei Wang 009; Feifei Kou; MeiYu Liang; Zhe Xue; Nan Zhou (World Wide Web, 2019)

Prediction of Financial Big Data Stock Trends Based on Attention Mechanism. - Jiannan Chen; Junping Du 001; Zhe Xue; Feifei Kou (ICKG, 2020)

BERT-BIGRU-CRF: A Novel Entity Relationship Extraction Model. - Jianghai Lv; Junping Du 001; Nan Zhou; Zhe Xue (ICKG, 2020)

Cross-Modal Search for Social Networks via Adversarial Learning. - Nan Zhou; Junping Du 001; Zhe Xue; Chong Liu; Jinxuan Li (Comput. Intell. Neurosci., 2020)

A very deep two-stream network for crowd type recognition. - Xinlei Wei; Junping Du 001; Zhe Xue; MeiYu Liang; Yue Geng; Xin Xu; JangMyung Lee (Neurocomputing, 2020)

Security topics related microblogs search based on deep convolutional neural networks. - Nan Zhou; Junping Du 001; Zhe Xue; MeiYu Liang; Xu Yao; Wanqiu Cui (Neurocomputing, 2020)

Comprehensive high-speed reconciliation for continuous-variable quantum key distribution. - Dabo Guo; Chao He; Tianhao Guo; Zhe Xue; Qiang Feng; Jianjian Mu (Quantum Inf. Process., 2020)

Cross-Media Semantic Correlation Learning Based on Deep Hash Network and Semantic Expansion for Social Network Cross-Media Search. - MeiYu Liang; Junping Du 001; Cong-Xian Yang; Zhe Xue; Hai-Sheng Li 002; Feifei Kou; Yue Geng (IEEE Trans. Neural Networks Learn. Syst., 2020)

A content search method for security topics in microblog based on deep reinforcement learning. - Nan Zhou; Junping Du 001; Xu Yao; Wanqiu Cui; Zhe Xue; MeiYu Liang (World Wide Web, 2020)

Multi-Modal COVID-19 Discovery With Collaborative Federated Learning. - Xiaomeng Chen; Yingxia Shao; Zhe Xue; Ziqiang Yu (CCIS, 2021)

A Novel Topic Extraction Model for Science and Technology Demand Data. - Haiyan Cui; Zhe Xue; Junping Du 001; Xin Xu; Junqing Xi (CCIS, 2021)

Federated Graph Neural Network for Cross-graph Node Classification. - Zeli Guan; Yawen Li 001; Zhe Xue; Yuxin Liu; Hongrui Gao; Yingxia Shao (CCIS, 2021)

Urban Fatigue Driving Prediction With Federated Learning. - Yongqiang Ma; Yingxia Shao; Zhe Xue; Ziqiang Yu (CCIS, 2021)

Multi-view Relevance Matching Model of Scientific Papers Based on Graph Convolutional Network and Attention Mechanism. - Jie Song; Zhe Xue; Junping Du 001; Feifei Kou; MeiYu Liang; Mingying Xu (CICAI, 2021)

A Hierarchical Multi-label Classification Algorithm for Scientific Papers Based on Graph Attention Networks. - Changwei Zheng; Zhe Xue; Junping Du 001; Feifei Kou; MeiYu Liang; Mingying Xu (CICAI, 2021)

Clustering-Induced Adaptive Structure Enhancing Network for Incomplete Multi-View Data. - Zhe Xue; Junping Du 001; Changwei Zheng; Jie Song; Wenqi Ren; MeiYu Liang (IJCAI, 2021)

NDPNet: A novel non-linear data projection network for few-shot fine-grained image classification. - Weichuan Zhang; Xuefang Liu; Zhe Xue; Yongsheng Gao 001; Changming Sun (CoRR, 2021)

Spatial and Temporal Characteristics of Urban Tourism Travel by Taxi - A Case Study of Shenzhen. - Bing He; Kang Liu 010; Zhe Xue; Jiajun Liu; Diping Yuan; Jiyao Yin; Guohua Wu 003 (ISPRS Int. J. Geo Inf., 2021)

A semi-supervised semantic-enhanced framework for scientific literature retrieval. - Mingying Xu; Junping Du 001; Zhe Xue; Feifei Kou; Xin Xu (Neurocomputing, 2021)

MVGAN: Multi-View Graph Attention Network for Social Event Detection. - Wanqiu Cui; Junping Du 001; Dawei Wang 009; Feifei Kou; Zhe Xue (ACM Trans. Intell. Syst. Technol., 2021)

Kernel Least Mean Square With Maximum Correntropy Criterion. - Yawen Li 001; Wenling Li; Zhe Xue; Ang Li 015 (CCIS, 2022)

Scientific Paper Classification Based on Graph Neural Network with Hypergraph Self-attention Mechanism. - Jiashun Liu; Zhe Xue; Ang Li 015 (CCIS, 2022)

Adversarial Guided Gradient Estimation Hashing for Cross-modal Retrieval. - Kangkang Lu 002; Meiyu Liang; Zhe Xue; Xiaowen Cao; Mengran Yin; Zehua Zhao (CCIS, 2022)

Scientific and Technological News Recommendation Based on Knowledge Graph with User Perception. - Yuyao Zeng; Junping Du 001; Zhe Xue; Ang Li 015 (CCIS, 2022)

Chinese Word Sense Embedding with SememeWSD and Synonym Set. - Yangxi Zhou; Junping Du 001; Zhe Xue; Ang Li 015; Zeli Guan (CICAI (3), 2022)

Inferential Visual Question Generation. - Chao Bi; Shuhui Wang; Zhe Xue; Shengbo Chen; Qingming Huang (ACM Multimedia, 2022)

Semantic Structure Enhanced Contrastive Adversarial Hash Network for Cross-media Representation Learning. - MeiYu Liang; Junping Du 001; Xiaowen Cao; Yang Yu; Kangkang Lu 002; Zhe Xue; Min Zhang (ACM Multimedia, 2022)

Synthesizing Counterfactual Samples for Effective Image-Text Matching. - Hao Wei; Shuhui Wang; Xinzhe Han; Zhe Xue; Bin Ma 028; Xiaoming Wei; Xiaolin Wei (ACM Multimedia, 2022)

Robust Diversified Graph Contrastive Network for Incomplete Multi-view Clustering. - Zhe Xue; Junping Du 001; Hai Zhu; Zhongchao Guan; Yunfei Long; Yu Zang; Meiyu Liang (ACM Multimedia, 2022)

Research topic trend prediction of scientific papers based on spatial enhancement and dynamic graph convolution network. - Changwei Zheng; Zhe Xue; MeiYu Liang; Feifei Kou (CoRR, 2022)

An unsupervised cluster-level based method for learning node representations of heterogeneous graphs in scientific papers. - Jie Song; MeiYu Liang; Zhe Xue; Junping Du 001; Feifei Kou (CoRR, 2022)

Accurate Portraits of Scientific Resources and Knowledge Service Components. - Yue Wang; Zhe Xue; Ang Li 015 (CoRR, 2022)

Knowledge Graph and Accurate Portrait Construction of Scientific and Technological Academic Conferences. - Runyu Yu; Zhe Xue; Ang Li 015 (CoRR, 2022)

Research on accurate stereo portrait generation algorithm of scientific research team. - Mingying Xu; MeiYu Liang; Zhe Xue; Ang Li 015 (CoRR, 2022)

Research on Domain Information Mining and Theme Evolution of Scientific Papers. - Changwei Zheng; Zhe Xue; MeiYu Liang; Feifei Kou; Zeli Guan (CoRR, 2022)

Mining and searching association relation of scientific papers based on deep learning. - Jie Song; MeiYu Liang; Zhe Xue; Feifei Kou; Ang Li 015 (CoRR, 2022)

Bi-convolution matrix factorization algorithm based on improved ConvMF. - Peiyu Liu; Junping Du 001; Zhe Xue; Ang Li 015 (CoRR, 2022)

Spatial-Temporal Adaptive Graph Convolution with Attention Network for Traffic Forecasting. - Weikang Chen; Yawen Li 001; Zhe Xue; Ang Li 015; Guobin Wu 001 (CoRR, 2022)

Aspect-Based Sentiment Analysis using Local Context Focus Mechanism with DeBERTa. - Tianyu Zhao; Junping Du 001; Zhe Xue; Ang Li 015; Zeli Guan (CoRR, 2022)

Few-shot node classification via local adaptive discriminant structure learning. - Zhe Xue; Junping Du 001; Xin Xu; Xiangbin Liu; Junfu Wang; Feifei Kou (Frontiers Comput. Sci., 2022)

A scientific research topic trend prediction model based on multi-LSTM and graph convolutional network. - Mingying Xu; Junping Du 001; Zhe Xue; Zeli Guan; Feifei Kou; Lei Shi 030 (Int. J. Intell. Syst., 2022)

Cross-media retrieval of scientific and technological information based on multi-feature fusion. - Yang Jiang; Junping Du 001; Zhe Xue; Ang Li 015 (Neurocomputing, 2022)

Hierarchical Density-Aware Dehazing Network. - Jingang Zhang; Wenqi Ren; Shengdong Zhang; He Zhang 004; Yunfeng Nie; Zhe Xue; Xiaochun Cao (IEEE Trans. Cybern., 2022)

Video Super-Resolution Reconstruction Based on Deep Learning and Spatio-Temporal Feature Self-Similarity. - MeiYu Liang; Junping Du 001; Linghui Li; Zhe Xue; Xiaoxiao Wang 006; Feifei Kou; Xu Wang (IEEE Trans. Knowl. Data Eng., 2022)

Federated learning with stochastic quantization. - Yawen Li; Wenling Li; Zhe Xue (Int. J. Intell. Syst., 2022)

Social Network Community Detection Based on Textual Content Similarity and Sentimental Tendency. - Jie Gao; Junping Du 001; Zhe Xue; Zeli Guan (CICAI (2), 2023)

Video Super-Resolution Reconstruction Based on Deep Learning and Spatio-Temporal Feature Self-similarity (Extended abstract). - Meiyu Liang; Junping Du 001; Linghui Li; Zhe Xue; Xiaoxiao Wang 006; Feifei Kou; Xu Wang (ICDE, 2023)

Deep Unsupervised Momentum Contrastive Hashing for Cross-modal Retrieval. - Kangkang Lu 002; Yanhua Yu; Meiyu Liang; Min Zhang; Xiaowen Cao; Zehua Zhao; Mengran Yin; Zhe Xue (ICME, 2023)

RTMC: A Rubost Trusted Multi-View Classification Framework. - Hai Zhou; Zhe Xue; Ying Liu; Boang Li; Junping Du 001; Meiyu Liang (ICME, 2023)

All in a Row: Compressed Convolution Networks for Graphs. - Junshu Sun; Shuhui Wang; Xinzhe Han; Zhe Xue; Qingming Huang (ICML, 2023)

FedPcf : An Integrated Federated Learning Framework with Multi-Level Prospective Correction Factor. - Yu Zang; Zhe Xue; Shilong Ou; Yunfei Long; Hai Zhou; Junping Du 001 (ICMR, 2023)

FedCD: A Classifier Debiased Federated Learning Framework for Non-IID Data. - Yunfei Long; Zhe Xue; Lingyang Chu; Tianlong Zhang; Junjiang Wu; Yu Zang; Junping Du 001 (ACM Multimedia, 2023)

Conversational Composed Retrieval with Iterative Sequence Refinement. - Hao Wei; Shuhui Wang; Zhe Xue; Shengbo Chen; Qingming Huang (ACM Multimedia, 2023)

CALM: An Enhanced Encoding and Confidence Evaluating Framework for Trustworthy Multi-view Learning. - Hai Zhou; Zhe Xue; Ying Liu; Boang Li; Junping Du 001; Meiyu Liang; Yuankai Qi (ACM Multimedia, 2023)

Semantic Representation Learning of Scientific Literature based on Adaptive Feature and Graph Neural Network. - Hongrui Gao; Yawen Li 001; Meiyu Liang; Zeli Guan; Zhe Xue (CoRR, 2023)

Entity Alignment Method of Science and Technology Patent based on Graph Convolution Network and Information Fusion. - Runze Fang; Yawen Li 001; Yingxia Shao; Zeli Guan; Zhe Xue (CoRR, 2023)

Research Team Identification Based on Representation Learning of Academic Heterogeneous Information Network. - Junfu Wang; Yawen Li 001; Zhe Xue; Ang Li 015 (CoRR, 2023)

Epidemic Decision-making System Based Federated Reinforcement Learning. - Yangxi Zhou; Junping Du 001; Zhe Xue; Zhenhui Pan; Weikang Chen (CoRR, 2023)

Multi-level self-adaptive prototypical networks for few-shot node classification on attributed networks. - Xin Xu; Junping Du 001; Zhe Xue (Neural Comput. Appl., 2023)

Cluster-aware multiplex InfoMax for unsupervised graph representation learning. - Xin Xu; Junping Du 001; Jie Song; Zhe Xue; Ang Li 015; Zeli Guan (Neurocomputing, 2023)

STRAN: Student expression recognition based on spatio-temporal residual attention network in classroom teaching videos. - Zheng Chen; Meiyu Liang; Zhe Xue; Wanying Yu (Appl. Intell., 2023)

Self-Supervised Multi-Modal Knowledge Graph Contrastive Hashing for Cross-Modal Search. - Meiyu Liang; Junping Du 001; Zhengyang Liang; Yongwang Xing; Wei Huang; Zhe Xue (AAAI, 2024)

Efficient Asynchronous Federated Learning with Prospective Momentum Aggregation and Fine-Grained Correction. - Yu Zang; Zhe Xue; Shilong Ou; Lingyang Chu; Junping Du 001; Yunfei Long (AAAI, 2024)

Byzantine-Robust Aggregation for Federated Learning with Reinforcement Learning. - Sizheng Yan; Junping Du 001; Zhe Xue; Ang Li 015 (APWeb/WAIM (4), 2024)

Public Safety Event Detection Based on Reinforcement Federated Client Selection. - Zeli Guan; Junping Du 001; Zhe Xue (BigComp, 2024)

Learning Hierarchy-Aware Federated Graph Embedding for Link Prediction. - Ang Li 015; Yawen Li 001; Zhe Xue; Zeli Guan; Mengyu Zhuang (BigComp, 2024)

Multimodal Knowledge Graph-Guided Cross-Modal Graph Network for Image-Text Retrieval. - Juncheng Zheng; Meiyu Liang; Yang Yu; Junping Du 001; Zhe Xue (BigComp, 2024)

View-Category Interactive Sharing Transformer for Incomplete Multi-View Multi-Label Learning. - Shilong Ou; Zhe Xue; Yawen Li 001; Meiyu Liang; Yuanqiang Cai; Junjiang Wu (CVPR, 2024)

Unsupervised Multimodal Graph Contrastive Semantic Anchor Space Dynamic Knowledge Distillation Network for Cross-Media Hash Retrieval. - Yang Yu; Meiyu Liang; Mengran Yin; Kangkang Lu 002; Junping Du 001; Zhe Xue (ICDE, 2024)

Knowledge Graph Enhanced Multimodal Transformer for Image-Text Retrieval. - Juncheng Zheng; Meiyu Liang; Yang Yu; Yawen Li 001; Zhe Xue (ICDE, 2024)

A Multi-View Double Alignment Hashing Network with Weighted Contrastive Learning. - Tianlong Zhang; Zhe Xue; Yuchen Dong; Junping Du 001; Meiyu Liang (ICME, 2024)

Dynamic Self-adaptive Multiscale Distillation from Pre-trained Multimodal Large Model for Efficient Cross-modal Representation Learning. - Zhengyang Liang; Meiyu Liang; Wei Huang; Yawen Li 001; Zhe Xue (CoRR, 2024)

WPFed: Web-based Personalized Federation for Decentralized Systems. - Guanhua Ye; Jifeng He 003; Weiqing Wang; Zhe Xue; Feifei Kou; Yawen Li 001 (CoRR, 2024)

RFDG: Reinforcement Federated Domain Generalization. - Zeli Guan; Yawen Li 001; Zhenhui Pan; Yuxin Liu; Zhe Xue (IEEE Trans. Knowl. Data Eng., 2024)

Structures Aware Fine-Grained Contrastive Adversarial Hashing for Cross-Media Retrieval. - Meiyu Liang; Yawen Li 001; Yang Yu; Xiaowen Cao; Zhe Xue; Ang Li 015; Kangkang Lu 002 (IEEE Trans. Knowl. Data Eng., 2024)

Incomplete Multi-View Multi-Label Classification via Diffusion-Guided Redundancy Removal. - Shilong Ou; Zhe Xue; Lixiong Qin; Yawen Li 001; Meiyu Liang; Junjiang Wu; Xuyun Zhang; Amin Beheshti; Yuankai Qi (AAAI, 2025)

Reinforcement Active Client Selection for Federated Heterogeneous Graph Learning. - Jia Wang; Yawen Li 001; Yingxia Shao; Zhe Xue; Zeli Guan; Ang Li 015; Guanhua Ye (AAAI, 2025)

Generating Synthetic Data for Unsupervised Federated Learning of Cross-Modal Retrieval. - Tianlong Zhang; Zhe Xue; Adnan Mahmood; Junping Du 001; Yuchen Dong; Shilong Ou; Lang Feng 006; Ming-Hsuan Yang 001; Yuankai Qi (AAAI, 2025)

Dynamic Computing First Network Multi-dimensional Resource Collaborative Allocation Based on Federated Segmentation Learning. - Yi Liu; Junping Du; Zhe Xue; Zeli Guan (BigComp, 2025)

Time Sensitive Multiple POIs Route Planning on Bus Networks. - Simu Liu; Kailin Jiao; Junping Du 001; Yawen Li 001; Zhe Xue; Xiaoyang Sean Wang; Ziqiang Yu; Yunchuan Shi (BigComp, 2025)

Big Data Time Series Prediction Based on Feature-Enhanced Transformer Model. - Runqing Tang; Yawen Li 001; Zhe Xue; Junping Du 001; Guanhua Ye (BigComp, 2025)

Medusa: A Multi-Scale High-order Contrastive Dual-Diffusion Approach for Multi-View Clustering. - Liang Chen; Zhe Xue; Yawen Li 001; Meiyu Liang; Yan Wang; Anton van den Hengel; Yuankai Qi (CVPR, 2025)

Hierarchical Prompt-Guided Alignment for Multi-view Clustering. - Shifeng Bao; Zhe Xue; Shilong Ou; Amin Beheshti; Yuankai Qi (ICIC (12), 2025)

Fine-Grained Annotation and Multi-objective Optimization Based RLHF. - Junjiang Wu; Zhe Xue; Yawen Li 001; Yudian Ma; Mingzhao Li; Junping Du 001 (ICIC (13), 2025)

Horizontal Federated Heterogeneous Graph Learning: A Multi-Scale Adaptive Solution to Data Distribution Challenges. - Jia Wang; Yawen Li 001; Zhe Xue; Yingxia Shao; Zeli Guan; Wenling Li (WWW, 2025)

Robust Multi-Graph Contrastive Network for Incomplete Multi-View Clustering. - Zhe Xue; Yawen Li 001; Zhongchao Guan; Wenling Li; Meiyu Liang; Hai Zhou (IEEE Trans. Multim., 2025)

DiffusionCom: Structure-Aware Multimodal Diffusion Model for Multimodal Knowledge Graph Completion. - Wei Huang; Meiyu Liang; Peining Li; Xu Hou; Yawen Li 001; Junping Du 001; Zhe Xue; Zeli Guan (CoRR, 2025)