Study on food safety semantic retrieval system based on domain ontology. - Yuehua Yang; Junping Du 001; MeiYu Liang (CCIS, 2011)

Spatio-temporal super-resolution reconstruction based on robust optical flow and Zernike moment for dynamic image sequences. - MeiYu Liang; Junping Du 001; Xiaoyong Li 003; Liang Xu 002; Honggang Liu; Yawen Li 001 (ISIE, 2013)

High dynamic range motion image sequences reconstruction. - Shouxin Cao; Junping Du 001; MeiYu Liang (CCIS, 2014)

Self-adaptive spatial image denoising model based on scale correlation and SURE-LET in the nonsubsampled contourlet transform domain. - MeiYu Liang; Junping Du 001; Honggang Liu (Sci. China Inf. Sci., 2014)

Super-resolution reconstruction based on multisource bidirectional similarity and non-local similarity matching. - MeiYu Liang; Junping Du 001; Shouxin Cao; Linghui Li (IET Image Process., 2015)

Video super-resolution based on nonlinear mapping and patch similarity. - Linghui Li; Junping Du 001; MeiYu Liang; Jangmyung Lee; Luoming Meng (CCIS, 2016)

Video super-resolution reconstruction based on correlation learning and spatio-temporal nonlocal similarity. - MeiYu Liang; Junping Du 001; Linghui Li (Multim. Tools Appl., 2016)

Hashtag Recommendation Based on Multi-Features of Microblogs. - Fei-Fei Kou; Junping Du 001; Cong-Xian Yang; Yan-Song Shi; Wan-Qiu Cui; MeiYu Liang; Yue Geng (J. Comput. Sci. Technol., 2018)

A semantic modeling method for social network short text based on spatial and temporal characteristics. - Feifei Kou; Junping Du 001; Zijian Lin; MeiYu Liang; Haisheng Li 002; Lei Shi 030; Cong-Xian Yang (J. Comput. Sci., 2018)

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)

Improved face recognition with accelerated robust features improved by means of mean shift k-means clustering. - Jiao Ding; Minfeng Zhang; Tianfei Zhang; Haiyan Long; MeiYu Liang (Int. J. Comput. Appl. Technol., 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)

SRTM: A Sparse RNN-Topic Model for Discovering Bursty Topics in Big Data of Social Networks. - Lei Shi 030; Junping Du 001; MeiYu Liang; Fei-Fei Kou (J. Inf. Sci. Eng., 2019)

Dynamic topic modeling via self-aggregation for short text streams. - Lei Shi 030; Junping Du 001; MeiYu Liang; Feifei Kou (Peer-to-Peer Netw. Appl., 2019)

Boosting deep attribute learning via support vector regression for fast moving crowd counting. - Xinlei Wei; Junping Du 001; MeiYu Liang; Lingfei Ye (Pattern Recognit. 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)

Abnormal event detection in tourism video based on salient spatio-temporal features and sparse combination learning. - Yue Geng; Junping Du 001; MeiYu Liang (World Wide Web, 2019)

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)

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)

Intelligent Teaching Evaluation System Integrating Facial Expression and Behavior Recognition in Teaching Video. - Zheng Chen; MeiYu Liang; Wanying Yu; Yongkang Huang; Xiaoxiao Wang 006 (BigComp, 2021)

Dual-pathway Attention based Supervised Adversarial Hashing for Cross-modal Retrieval. - Xiaoxiao Wang 006; MeiYu Liang; Xiaowen Cao; Junping Du 001 (BigComp, 2021)

Federal Learning Based COVID-19 Fake News Detection With Deep Self-Attention Network. - Suyu Ouyang; Junping Du 001; Benzhi Wang; Bowen Yu; Yuhui Wang; MeiYu Liang (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)

Unsupervised Semantic Representation Learning of Scientific Literature Based on Graph Attention Mechanism and Maximum Mutual Information. - Hongrui Gao; Yawen Li 001; Meiyu Liang; Zeli Guan (CCIS, 2022)

Cross-modal Search Method of Technology Video based on Adversarial Learning and Feature Fusion. - Xiangbin Liu; Junping Du 001; Meiyu Liang; 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)

Embedding Representation of Academic Heterogeneous Information Networks Based on Federated Learning. - Junfu Wang; Yawen Li 001; Meiyu Liang; Ang Li 015 (CCIS, 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)

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)

Cross-Media Scientific Research Achievements Retrieval Based on Deep Language Model. - Benzhi Wang; MeiYu Liang; Feifei Kou; Mingying Xu (CoRR, 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)

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)

Cross-media Scientific Research Achievements Query based on Ranking Learning. - Benzhi Wang; MeiYu Liang; Ang Li 015 (CoRR, 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)

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)

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)

Federated Topic Model and Model Pruning Based on Variational Autoencoder. - Chengjie Ma; Yawen Li 001; Meiyu Liang; Ang Li 015 (CoRR, 2023)

Topic model based on co-occurrence word networks for unbalanced short text datasets. - Chengjie Ma; Junping Du 001; Meiyu Liang; Zeli Guan (CoRR, 2023)

Event-Aware Video Deraining via Multi-Patch Progressive Learning. - Shangquan Sun; Wenqi Ren; Jingzhi Li 002; Kaihao Zhang; Meiyu Liang; Xiaochun Cao (IEEE Trans. Image Process., 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)

Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction. - Kangkang Lu 002; Yanhua Yu; Hao Fei 001; Xuan Li; Zixuan Yang; Zirui Guo; Meiyu Liang; Mengran Yin; Tat-Seng Chua (AAAI, 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)

Addressing Heterogeneity and Heterophily in Graphs: A Heterogeneous Heterophilic Spectral Graph Neural Network. - Kangkang Lu 002; Yanhua Yu; Zhiyong Huang; Jia Li; Yuling Wang; Meiyu Liang; Xiting Qin; Yimeng Ren 001; Tat-Seng Chua; Xidian Wang (CoRR, 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)

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)

MFLCP: Personalized Multimodal Federated Learning via Collaborative Prompting with Missing Modalities. - Wenli Li; Meiyu Liang; Ruoyu Fan; Yuxuan Li (ICMR, 2025)

RFCSC: Communication efficient reinforcement federated learning with dynamic client selection and adaptive gradient compression. - Zhenhui Pan; Yawen Li 001; Zeli Guan; Meiyu Liang; Ang Li 015; Jia Wang; Feifei Kou (Neurocomputing, 2025)

A Lightweight Authenticated Encryption Algorithm Based on Compact CLEFIA Block Cipher. - Meiyu Liang; Tao Ji; Yin Yuan; Xin Cheng 001; Zhang Zhang 004; Lixiang Ma (J. Circuits Syst. Comput., 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)