Geodesic distance based multi-document summarization. - Huifang Ma; Qing He 003; Zhongzhi Shi (NLPKE, 2008)

A Probabilistic Model for Automatic Image Annotation and Retrieval. - Zhixin Li 001; Huifang Ma; Zhiping Shi 002; Zhongzhi Shi (CIT (1), 2009)

IPHITS: An Incremental Latent Topic Model for Link Structure. - Huifang Ma; Weizhong Zhao; Zhixin Li 001; Zhongzhi Shi (AIRS, 2009)

Parallel K-Means Clustering Based on MapReduce. - Weizhong Zhao; Huifang Ma; Qing He 003 (CloudCom, 2009)

Active Learning of Instance-Level Constraints for Semi-supervised Document Clustering. - Weizhong Zhao; Qing He 003; Huifang Ma; Zhongzhi Shi (Web Intelligence, 2009)

Combining the Missing Link: An Incremental Topic Model of Document Content and Hyperlink. - Huifang Ma; Zhixin Li 001; Zhongzhi Shi (APWeb, 2010)

Orthogonal Nonnegative Matrix Tri-factorization for Semi-supervised Document Co-clustering. - Huifang Ma; Weizhong Zhao; Qing Tan; Zhongzhi Shi (PAKDD (2), 2010)

The improved non-negative Matrix Factorization algorithm for document clustering. - Weizhong Zhao; Huifang Ma; Qing He 003; Zhongzhi Shi (FSKD, 2011)

Hot topic extraction using time window. - Huifang Ma (ICMLC, 2011)

A new non-negative matrix factorization algorithm with sparseness constraints. - Weizhong Zhao; Huifang Ma; Ning Li (ICMLC, 2011)

A Novel Online Event Analysis Framework for Micro-blog Based on Incremental Topic Modeling. - Huifang Ma; Bo Wang; Ning Li (SNPD, 2012)

Effective semi-supervised document clustering via active learning with instance-level constraints. - Weizhong Zhao; Qing He 003; Huifang Ma; Zhongzhi Shi (Knowl. Inf. Syst., 2012)

Supervised-LDA: A probabilistic topic model for collaborative filtering. - Weizhong Zhao; Huifang Ma; Zmxin Li; Ning Li (ICMLC, 2013)

A nonnegative matrix factorization framework for semi-supervised document clustering with dual constraints. - Huifang Ma; Weizhong Zhao; Zhongzhi Shi (Knowl. Inf. Syst., 2013)

Semi-supervised Nonnegative Matrix Factorization for Microblog Clustering Based on Term Correlation. - Huifang Ma; Meihuizi Jia; YaKai Shi; Zhanjun Hao 001 (APWeb, 2014)

Chinese Textual Entailment Recognition Based on Syntactic Tree Clipping. - Zhichang Zhang; Dongren Yao; Songyi Chen; Huifang Ma (CCL, 2014)

Microblog hot topic detection based on topic model using term correlation matrix. - Huifang Ma; Yue-Xin Sun; Mei-Hui-Zi Jia; Zhichang Zhang (ICMLC, 2014)

An Efficient Microblog Hot Topic Detection Algorithm Based on Two Stage Clustering. - Yuexin Sun; Huifang Ma; Meihuizi Jia; Peiqing Wang (IIP, 2014)

A Microblog Recommendation Algorithm Based on Multi-tag Correlation. - Huifang Ma; Meihuizi Jia; Meng Xie; Xianghong Lin (KSEM, 2015)

Semi-supervised Microblog Clustering Method via Dual Constraints. - Huifang Ma; Meihuizi Jia; Weizhong Zhao; Xianghong Lin (KSEM, 2015)

An Improved Supervised Learning Algorithm Using Triplet-Based Spike-Timing-Dependent Plasticity. - Xianghong Lin; Guojun Chen; Xiangwen Wang; Huifang Ma (ICIC (3), 2016)

Effectively Classifying Short Texts via Improved Lexical Category and Semantic Features. - Huifang Ma; Runan Zhou; Fang Liu; Xiaoyong Lu (ICIC (1), 2016)

Supervised Learning Algorithm for Spiking Neurons Based on Nonlinear Inner Products of Spike Trains. - Xiangwen Wang; Xianghong Lin; Jichang Zhao; Huifang Ma (ICIC (2), 2016)

A Tag Probability Correlation Based Microblog Recommendation Method. - Di Zhang; Huifang Ma; Junjie Jia; Li Yu (ICONIP (2), 2016)

Combining Statistical Information and Semantic Similarity for Short Text Feature Extension. - Xiaohong Li 012; Yun Su; Huifang Ma; Lin Cao (IIP, 2016)

Short Text Feature Extension Based on Improved Frequent Term Sets. - Huifang Ma; Lei Di; Xiantao Zeng; Li Yan; Yuyi Ma (IIP, 2016)

Tag correlation and user social relation based microblog recommendation. - Huifang Ma; Meihuizi Jia; Xianghong Lin; Fuzhen Zhuang (IJCNN, 2016)

A Microblog Hot Topic Detection Algorithm Based on Discrete Particle Swarm Optimization. - Huifang Ma; Yugang Ji; Xiaohong Li 012; Runan Zhou (PRICAI, 2016)

Leveraging Term Co-occurrence Distance and Strong Classification Features for Short Text Feature Selection. - Huifang Ma; Yuying Xing; Shuang Wang; Miao Li (KSEM, 2017)

Single Multi-feature detector for Amodal 3D Object Detection in RGB-D Images. - Qianhui Luo; Huifang Ma; Yue Wang 020; Li Tang 006; Rong Xiong (CoRR, 2017)

Combining tag correlation and user social relation for microblog recommendation. - Huifang Ma; Meihuizi Jia; Di Zhang; Xianghong Lin (Inf. Sci., 2017)

Leveraging Hypergraph Random Walk Tag Expansion and User Social Relation for Microblog Recommendation. - Huifang Ma; Di Zhang; Weizhong Zhao; Yanru Wang; Zhongzhi Shi (ICDM, 2018)

A Neuronal Morphology Classification Approach Based on Deep Residual Neural Networks. - Xianghong Lin; Jianyang Zheng; Xiangwen Wang; Huifang Ma (ICONIP (4), 2018)

Learning from Titles to Recommend Keywords for Academic Papers. - Huifang Ma; Fang Liu; Qin Xia; Li Yu (ICONIP (3), 2018)

Microblog Hot Event Detection Based on Restart Random Walk and Modularity. - Xiaohong Li 012; JiHeng Gong; Yuyin Ma; Huifang Ma; Na Qin (IIP, 2018)

Short Text Feature Extraction via Node Semantic Coupling and Graph Structures. - Huifang Ma; Xiaoqian Liu; Lan Ma; Yulin Hu (IIP, 2018)

A Texture Synthesis Steganography Scheme Based on Super-Pixel Structure and SVM. - Weiyi Wei; Chengfeng A; Lizhao Wang; Huifang Ma (IIP, 2018)

An Overlapping Microblog Community Detection Method Using New Partition Criterion. - Huifang Ma; Meng Xie; Jiahui Wei; Tingnian He (KSEM (2), 2018)

From Time to Space: Automatic Annotation of Unmarked Traffic Scene Based on Trajectory Data. - Huifang Ma; Yue Wang 020; Rong Xiong (ROBIO, 2018)

An evolutionary developmental approach for generation of 3D neuronal morphologies using gene regulatory networks. - Xianghong Lin; Zhiqiang Li; Huifang Ma; Xiangwen Wang (Neurocomputing, 2018)

Towards open-set semantic labeling in 3D point clouds : Analysis on the unknown class. - Huifang Ma; Rong Xiong; Yue Wang 020; Sarath Kodagoda; Lei Shi 013 (Neurocomputing, 2018)

SBRNE: An Improved Unified Framework for Social and Behavior Recommendations with Network Embedding. - Weizhong Zhao; Huifang Ma; Zhixin Li 001; Xiang Ao 001; Ning Li (DASFAA (2), 2019)

Sentence-Level Semantic Features Guided Adversarial Network for Zhuang Language Part-of-Speech Tagging. - Zhixin Li 001; Yaru Sun; Suqin Tang; Canlong Zhang; Huifang Ma (ICTAI, 2019)

Automatic Image Annotation based on Co-Training. - Zhixin Li 001; Lan Lin; Canlong Zhang; Huifang Ma; Weizhong Zhao (IJCNN, 2019)

Leveraging User Preferences for Community Search via Attribute Subspace. - Haijiao Liu; Huifang Ma; Yang Chang; Zhixin Li 001; Wenjuan Wu (KSEM (1), 2019)

Enhancing Graph-Based Keywords Extraction with Node Association. - Huifang Ma; Shuang Wang; Miao Li; Ning Li (KSEM (1), 2019)

Effectively Classify Short Texts with Sparse Representation Using Entropy Weighted Constraint. - Ting Tuo; Huifang Ma; Zhixin Li 001; Xianghong Lin (KSEM (2), 2019)

Collaborating CNN and SVM for Automatic Image Annotation. - Zhixin Li 001; Lan Lin; Canlong Zhang; Huifang Ma; Weizhong Zhao (ICMR, 2019)

Short Text Similarity Measurement Based on Coupled Semantic Relation and Strong Classification Features. - Huifang Ma; Wen Liu; Zhixin Li 001; Xianghong Lin (PAKDD (1), 2019)

Effectively Representing Short Text via the Improved Semantic Feature Space Mapping. - Ting Tuo; Huifang Ma; Haijiao Liu; Jiahui Wei (PAKDD (Workshops), 2019)

HcRPC: Highly Compact Reachability Preserving Graph Compression With Corrections. - Rui Bing; Huifang Ma; Xiangchun He; Zhixin Li 001; Lijun Guo (IEEE Access, 2019)

Target Community Detection With User's Preference and Attribute Subspace. - Haijiao Liu; Huifang Ma; Yang Chang; Zhixin Li 001; Wenjuan Wu (IEEE Access, 2019)

Object Detection Model Based on Deep Dilated Convolutional Networks by Fusing Transfer Learning. - Yu Quan; Zhixin Li 001; Canlong Zhang; Huifang Ma (IEEE Access, 2019)

Towards navigation without precise localization: Weakly supervised learning of goal-directed navigation cost map. - Huifang Ma; Yue Wang 020; Li Tang 006; Sarath Kodagoda; Rong Xiong (CoRR, 2019)

Weakly-Supervised Road Affordances Inference and Learning in Scenes without Traffic Signs. - Huifang Ma; Yue Wang 020; Rong Xiong; Sarath Kodagoda; Qianhui Luo (CoRR, 2019)

A term correlation based semi-supervised microblog clustering with dual constraints. - Huifang Ma; Di Zhang; Meihuizi Jia; Xianghong Lin (Int. J. Mach. Learn. Cybern., 2019)

Image Captioning with Internal and External Knowledge. - Feicheng Huang; Zhixin Li 001; Shengjia Chen; Canlong Zhang; Huifang Ma (CIKM, 2020)

Improving Object Detection with Relation Mining Network. - Shengjia Chen; Zhixin Li 001; Feicheng Huang; Canlong Zhang; Huifang Ma (ICDM, 2020)

Robust Adversarial Learning For Semi-Supervised Semantic Segmentation. - Jia Zhang; Zhixin Li 001; Canlong Zhang; Huifang Ma (ICIP, 2020)

An Overlapping Community Detection with Subspaces on Double-Views. - Yang Chang; Huifang Ma; Yun Su; Zhixin Li 001 (ICONIP (2), 2020)

Exploring User Trust and Reliability for Recommendation: A Hypergraph Ranking Approach. - Yanbin Jiang; Huifang Ma; Yuhang Liu; Zhixin Li 001 (ICONIP (2), 2020)

Top-N Recommendation in P2P Lending: A Hybrid Graph Ranking Using Investor Profile. - Yuhang Liu; Huifang Ma; Yanbin Jiang; Zhixin Li 001 (ICONIP (2), 2020)

Object Detection Using Dual Graph Network. - Shengjia Chen; Zhixin Li 001; Feicheng Huang; Canlong Zhang; Huifang Ma (ICPR, 2020)

Cross-media Hash Retrieval Using Multi-head Attention Network. - Zhixin Li 001; Feng Ling; Chuansheng Xu; Canlong Zhang; Huifang Ma (ICPR, 2020)

Reinforcement Learning with Dual Attention Guided Graph Convolution for Relation Extraction. - Zhixin Li 001; Yaru Sun; Suqin Tang; Canlong Zhang; Huifang Ma (ICPR, 2020)

Object Detection Model Based on Scene-Level Region Proposal Self-Attention. - Yu Quan; Zhixin Li 001; Canlong Zhang; Huifang Ma (ICPR, 2020)

NotMle: Community Detection in an Inference Way. - Qiqi Zhao; Huifang Ma; Xiaohong Li 012; Zhixin Li 001 (ICTAI, 2020)

Overlapping Community Detection Combining Topological Potential and Trust Value of Nodes. - Xiaohong Li 012; Weiying Kong; Weiyi Wei; Enli Fu; Huifang Ma (IIP, 2020)

Multi-label Classification of Short Text Based on Similarity Graph and Restart Random Walk Model. - Xiaohong Li 012; Fanyi Yang; Yuyin Ma; Huifang Ma (IIP, 2020)

Phase Plane Analysis of Traffic Phenomena with Different Input and Output Conditions. - Wen-Huan Ai; YuHang Su; Tao Xing; Da-Wei Liu; Huifang Ma (IIP, 2020)

Phase Plane Analysis of Traffic Flow Evolution Based on a Macroscopic Traffic Flow Model. - Wen-Huan Ai; Tao Xing; YuHang Su; Da-Wei Liu; Huifang Ma (IIP, 2020)

Analysis of the Stability and Solitary Waves for the Car-Following Model on Two Lanes. - Wen-Huan Ai; Tao Xing; YuHang Su; Da-Wei Liu; Huifang Ma (IIP, 2020)

Scientific Paper Recommendation Using Author's Dual Role Citation Relationship. - Donglin Hu; Huifang Ma; Yuhang Liu; Xiangchun He (IIP, 2020)

A Salient Object Detection Algorithm Based on Region Merging and Clustering. - Weiyi Wei; Yijing Yang; Wanru Wang; Xiufeng Zhao; Huifang Ma (IIP, 2020)

Stochastic Blockmodels Meets Overlapping Community Detection. - Qiqi Zhao; Huifang Ma; Zhixin Li 001; Lijun Guo (IIP, 2020)

Leveraging Multisource Information in Matrix Factorization for Social Collaborative Filtering. - Lele Huang; Huifang Ma; Xiangchun He; Liang Chang 003 (IJCNN, 2020)

Adaptive Graph Convolutional Networks with Attention Mechanism for Relation Extraction. - Zhixin Li 001; Yara Sun; Suqin Tang; Canlong Zhang; Huifang Ma (IJCNN, 2020)

Object Detection by Integrating Scene-Level Semantic Information and Border Regression Reinforcement. - Yu Quan; Zhixin Li 001; Canlong Zhang; Huifang Ma (IJCNN, 2020)

Robust Semi-Supervised Semantic Segmentation Based on Self-Attention and Spectral Normalization. - Jia Zhang; Zhixin Li 001; Canlong Zhang; Huifang Ma (IJCNN, 2020)

Combining Global and Local Similarity for Cross-Media Retrieval. - Zhixin Li 001; Feng Ling; Canlong Zhang; Huifang Ma (IEEE Access, 2020)

Text Summarization Method Based on Double Attention Pointer Network. - Zhixin Li 001; Zhi Peng; Suqin Tang; Canlong Zhang; Huifang Ma (IEEE Access, 2020)

Dual dense context-aware network for hippocampal segmentation. - Jiali Shi; Rong Zhang 007; Lijun Guo; Linlin Gao; Yuqi Li; Huifang Ma; Jianhua Wang (Biomed. Signal Process. Control., 2020)

The synergy of double attention: Combine sentence-level and word-level attention for image captioning. - Haiyang Wei; Zhixin Li 001; Canlong Zhang; Huifang Ma (Comput. Vis. Image Underst., 2020)

3D-SSD: Learning hierarchical features from RGB-D images for amodal 3D object detection. - Qianhui Luo; Huifang Ma; Li Tang 006; Yue Wang 020; Rong Xiong (Neurocomputing, 2020)

Improving social and behavior recommendations via network embedding. - Weizhong Zhao; Huifang Ma; Zhixin Li 001; Xiang Ao 001; Ning Li (Inf. Sci., 2020)

Boost image captioning with knowledge reasoning. - Feicheng Huang; Zhixin Li 001; Haiyang Wei; Canlong Zhang; Huifang Ma (Mach. Learn., 2020)

Classify multi-label images via improved CNN model with adversarial network. - Tao Zhou; Zhixin Li 001; Canlong Zhang; Huifang Ma (Multim. Tools Appl., 2020)

DeepGoal: Learning to drive with driving intention from human control demonstration. - Huifang Ma; Yue Wang 020; Rong Xiong; Sarath Kodagoda; Li Tang 006 (Robotics Auton. Syst., 2020)

Relation Also Need Attention: Integrating Relation Information Into Image Captioning. - Tianyu Chen; Zhixin Li 001; Tiantao Xian; Canlong Zhang; Huifang Ma (ACML, 2021)

Relevance-Aware Q-matrix Calibration for Knowledge Tracing. - Wentao Wang; Huifang Ma; Yan Zhao; Zhixin Li 001; Xiangchun He (ICANN (3), 2021)

Attentional Social Recommendation System with Graph Convolutional Network. - Yanbin Jiang; Huifang Ma; Yuhang Liu; Zhixin Li 001 (IJCNN, 2021)

A two-stage community search method based on seed replacement and joint random walk. - Ju Li 004; Huifang Ma; Qingqing Li; Zhixin Li 001; Liang Chang 003 (IJCNN, 2021)

Incorporating User Preference into Multi-community and Outliers Search. - Qingqing Li; Huifang Ma; Ju Li 004; Zhixin Li 001; Yanbing Jiang (IJCNN, 2021)

TT2INet: Text to Photo-realistic Image Synthesis with Transformer as Text Encoder. - Jianwei Zhu; Zhixin Li 001; Huifang Ma (IJCNN, 2021)

Exploring Implicit Relationships in Social Network for Recommendation Systems. - Yunhe Wei; Huifang Ma; Ruoyi Zhang; Zhixin Li 001; Liang Chang 003 (PAKDD (2), 2021)

Adversarial Training for Image Captioning Incorporating Relation Attention. - Tianyu Chen; Zhixin Li 001; Canlong Zhang; Huifang Ma (PRICAI (1), 2021)

Matching images and texts with multi-head attention network for cross-media hashing retrieval. - Zhixin Li 001; Xiumin Xie; Feng Ling; Huifang Ma; Zhongzhi Shi (Eng. Appl. Artif. Intell., 2021)

Learning to recommend via random walk with profile of loan and lender in P2P lending. - Yuhang Liu; Huifang Ma; Yanbin Jiang; Zhixin Li 001 (Expert Syst. Appl., 2021)

Multi-affect(ed): improving recommendation with similarity-enhanced user reliability and influence propagation. - Lele Huang; Huifang Ma; Xiangchun He; Liang Chang 003 (Frontiers Comput. Sci., 2021)

Enhancing social recommendation via two-level graph attentional networks. - Yanbin Jiang; Huifang Ma; Yuhang Liu; Zhixin Li 001; Liang Chang 003 (Neurocomputing, 2021)

A novel joint biomedical event extraction framework via two-level modeling of documents. - Weizhong Zhao; Jinyong Zhang; Jincai Yang; Tingting He; Huifang Ma; Zhixin Li 001 (Inf. Sci., 2021)

Stable self-attention adversarial learning for semi-supervised semantic image segmentation. - Jia Zhang; Zhixin Li 001; Canlong Zhang; Huifang Ma (J. Vis. Commun. Image Represent., 2021)

Hierarchical high-order co-clustering algorithm by maximizing modularity. - Jiahui Wei; Huifang Ma; Yuhang Liu; Zhixin Li 001; Ning Li (Int. J. Mach. Learn. Cybern., 2021)

Is the simple assignment enough? Exploring the interpretability for community detection. - Qiqi Zhao; Huifang Ma; Xiaohong Li 012; Zhixin Li 001 (Int. J. Mach. Learn. Cybern., 2021)

Improve relation extraction with dual attention-guided graph convolutional networks. - Zhixin Li 001; Yaru Sun; Jianwei Zhu; Suqin Tang; Canlong Zhang; Huifang Ma (Neural Comput. Appl., 2021)

Joint deep separable convolution network and border regression reinforcement for object detection. - Yu Quan; Zhixin Li 001; Shengjia Chen; Canlong Zhang; Huifang Ma (Neural Comput. Appl., 2021)

Discriminative Feature Network Based on a Hierarchical Attention Mechanism for Semantic Hippocampus Segmentation. - Jiali Shi; Rong Zhang 007; Lijun Guo; Linlin Gao; Huifang Ma; Jianhua Wang (IEEE J. Biomed. Health Informatics, 2021)

A Semi-supervised Learning Approach Based on Adaptive Weighted Fusion for Automatic Image Annotation. - Zhixin Li 001; Lan Lin; Canlong Zhang; Huifang Ma; Weizhong Zhao; Zhi-Ping Shi 002 (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Integrating Scene Semantic Knowledge into Image Captioning. - Haiyang Wei; Zhixin Li 001; Feicheng Huang; Canlong Zhang; Huifang Ma; Zhongzhi Shi (ACM Trans. Multim. Comput. Commun. Appl., 2021)

PERM: Pre-training Question Embeddings via Relation Map for Improving Knowledge Tracing. - Wentao Wang; Huifang Ma; Yan Zhao; Fanyi Yang; Liang Chang 003 (DASFAA (3), 2022)

Multi-behavior Recommendation with Two-Level Graph Attentional Networks. - Yunhe Wei; Huifang Ma; Yike Wang 001; Zhixin Li 001; Liang Chang 003 (DASFAA (2), 2022)

Enhancing Session-Based Recommendation with Global Context Information and Knowledge Graph. - Xiaohui Zhang 020; Huifang Ma; Zihao Gao; Zhixin Li 001; Liang Chang 003 (DASFAA (2), 2022)

Exploring Dual Stream Global Information For Image Captioning. - Tiantao Xian; Zhixin Li 001; Tianyu Chen; Huifang Ma (ICASSP, 2022)

Local Spectral for Multiresolution Community Search in Attributed Graph. - Qingqing Li; Huifang Ma; Zhixin Li 001; Liang Chang 003 (ICME, 2022)

Dynamic Transformer for Image Captioning. - Tiantao Xian; Zhixin Li 001; Tianyu Chen; Huifang Ma (ICME, 2022)

Short text classification method with dual channel hypergraph convolution networks. - Liu Jin; Zhaochun Sun; Huifang Ma (ICSAI, 2022)

Movie Recommender System Based On Heterogeneous Graph Neural Networks. - Khalil Ur Rahman; Huifang Ma; Ali Arshad; Azad Khan Baheer (ICSAI, 2022)

Drug Side Effects Prediction via Heterogeneous Multi-Relational Graph Convolutional Networks. - Yike Wang 001; Huifang Ma; Ruoyi Zhang; Zihao Gao (ICTAI, 2022)

A Knowledge Graph Recommendation Model via High-order Feature Interaction and Intent Decomposition. - Ruoyi Zhang; Huifang Ma; Qingfeng Li 001; Zhixin Li 001; Yike Wang 001 (IJCNN, 2022)

An Effective Two-way Metapath Encoder over Heterogeneous Information Network for Recommendation. - Yanbin Jiang; Huifang Ma; Xiaohui Zhang 020; Zhixin Li 001; Liang Chang 003 (ICMR, 2022)

Image-Text Matching with Fine-Grained Relational Dependency and Bidirectional Attention-Based Generative Networks. - Jianwei Zhu; Zhixin Li 001; Yufei Zeng; Jiahui Wei; Huifang Ma (ACM Multimedia, 2022)

Co-contrastive Self-supervised Learning for Drug-Disease Association Prediction. - Zihao Gao; Huifang Ma; Xiaohui Zhang 020; Zheyu Wu; Zhixin Li 001 (PRICAI (1), 2022)

Co-contrastive Learning for Multi-behavior Recommendation. - Qingfeng Li 001; Huifang Ma; Ruoyi Zhang; Wangyu Jin; Zhixin Li 001 (PRICAI (3), 2022)

Cross-View Contrastive Learning for Knowledge-Aware Session-Based Recommendation. - Xiaohui Zhang 020; Huifang Ma; Fanyi Yang; Zhixin Li 001; Liang Chang 003 (PRICAI (3), 2022)

Flexible Image Captioning via Internal Understanding and External Reasoning. - Jiahui Wei; Zhixin Li 001; Jianwei Zhu; Huifang Ma (SDM, 2022)

Modelling risk and return awareness for p2p lending recommendation with graph convolutional networks. - Yuhang Liu; Huifang Ma; Yanbin Jiang; Zhixin Li 001 (Appl. Intell., 2022)

Tracking knowledge proficiency of students with calibrated Q-matrix. - Wentao Wang; Huifang Ma; Yan Zhao; Zhixin Li 001; Xiangchun He (Expert Syst. Appl., 2022)

Community search over heterogeneous information networks via weighting strategy and query replacement. - Fanyi Yang; Huifang Ma; Weiwei Gao; Zhixin Li 001 (Frontiers Comput. Sci., 2022)

Multi-granularity semantic alignment distillation learning for remote sensing image semantic segmentation. - Di Zhang; Yong Zhou 003; Jiaqi Zhao 001; Zhongyuan Yang; Hui Dong; Rui Yao; Huifang Ma (Frontiers Comput. Sci., 2022)

Exploiting cross-session information for knowledge-aware session-based recommendation via graph attention networks. - Xiaohui Zhang 020; Huifang Ma; Zihao Gao; Zhixin Li 001; Liang Chang 003 (Int. J. Intell. Syst., 2022)

SEEP: Semantic-enhanced question embeddings pre-training for improving knowledge tracing. - Wentao Wang; Huifang Ma; Yan Zhao; Fanyi Yang; Liang Chang 003 (Inf. Sci., 2022)

Improving image captioning with Pyramid Attention and SC-GAN. - Tianyu Chen; Zhixin Li 001; Jingli Wu; Huifang Ma; Bianping Su (Image Vis. Comput., 2022)

Fine-grained bidirectional attentional generation and knowledge-assisted networks for cross-modal retrieval. - Jianwei Zhu; Zhixin Li 001; Jiahui Wei; Yufei Zeng; Huifang Ma (Image Vis. Comput., 2022)

Multiple instance relation graph reasoning for cross-modal hash retrieval. - Chuanwen Hou; Zhixin Li 001; Zhenjun Tang; Xiumin Xie; Huifang Ma (Knowl. Based Syst., 2022)

Searching Target Communities with Outliers in attributed graph. - Qingqing Li; Huifang Ma; Ju Li 004; Zhixin Li 001; Yanbin Jiang (Knowl. Based Syst., 2022)

Hierarchical attention network for attributed community detection of joint representation. - Qiqi Zhao; Huifang Ma; Lijun Guo; Zhixin Li 001 (Neural Comput. Appl., 2022)

Dual Global Enhanced Transformer for image captioning. - Tiantao Xian; Zhixin Li 001; Canlong Zhang; Huifang Ma (Neural Networks, 2022)

PBGN: Phased Bidirectional Generation Network in Text-to-Image Synthesis. - Jianwei Zhu; Zhixin Li 001; Jiahui Wei; Huifang Ma (Neural Process. Lett., 2022)

Adaptive Path Selection for Dynamic Image Captioning. - Tiantao Xian; Zhixin Li 001; Zhenjun Tang; Huifang Ma (IEEE Trans. Circuits Syst. Video Technol., 2022)

Community detection with attributed random walk via seed replacement. - Yang Chang; Huifang Ma; Liang Chang 003; Zhixin Li 001 (Frontiers Comput. Sci., 2022)

Multigranularity semantics based vulnerability search method for cross-platform binary. - Hao Liu; Huifang Ma; Yongchao Zhang (Int. J. Intell. Syst., 2022)

BACON: Boundary-guided Polypharmacy Side Effect Prediction via Integrating Molecular Structures and Biochemical Information. - Yike Wang 001; Huifang Ma; Zihao Gao; Zhixin Li 001; Liang Chang 003 (BIBM, 2023)

Synergistic Disease Similarity Measurement via Unifying Hierarchical Relation Perception and Association Capturing. - Zihao Gao; Huifang Ma; Yike Wang 001; Zhixin Li 001; Liang Chang 003 (CIKM, 2023)

Co-guided Random Walk for Polarized Communities Search. - Fanyi Yang; Huifang Ma; Cairui Yan; Zhixin Li 001; Liang Chang 003 (CIKM, 2023)

Intra- and Inter-behavior Contrastive Learning for Multi-behavior Recommendation. - Qingfeng Li 001; Huifang Ma; Ruoyi Zhang; Wangyu Jin; Zhixin Li 001 (DASFAA (2), 2023)

Multi-scale Community Detection in Subspace of Attribute. - Cairui Yan; Huifang Ma; Yuechen Tang; Xiaohong Li 012; Zhixin Li 001 (DASFAA (3), 2023)

Local Spectral for Polarized Communities Search in Attributed Signed Network. - Fanyi Yang; Huifang Ma; Wentao Wang; Zhixin Li 001; Liang Chang 003 (DASFAA (3), 2023)

Dual-View Self-supervised Co-training for Knowledge Graph Recommendation. - Ruoyi Zhang; Huifang Ma; Qingfeng Li 001; Yike Wang 001; Zhixin Li 001 (DASFAA (2), 2023)

Modeling Portraits of Students and Exercises for Exercise Recommendation. - Weiwei Gao; Huifang Ma; Yan Zhao; Jing Wang; Quanhong Tian (ICIC (4), 2023)

Improving Knowledge Tracing with Diverse Question Factors. - Yan Zhao; Huifang Ma; Wentao Wang; Weiwei Gao; Jing Wang; Xiangchun He (IJCNN, 2023)

Candidate-Aware Attention Enhanced Graph Neural Network for News Recommendation. - Xiaohong Li 012; Ruihong Li; Qixuan Peng; Huifang Ma (KSEM (3), 2023)

Heterogeneous graph neural networks analysis: a survey of techniques, evaluations and applications. - Rui Bing; Guan Yuan; Mu Zhu; Fanrong Meng; Huifang Ma; Shaojie Qiao (Artif. Intell. Rev., 2023)

Enhance understanding and reasoning ability for image captioning. - Jiahui Wei; Zhixin Li 001; Jianwei Zhu; Huifang Ma (Appl. Intell., 2023)

KGCL: A Knowledge-enhanced Graph Contrastive learning framework for session-based recommendation. - Xiaohui Zhang 020; Huifang Ma; Fanyi Yang; Zhixin Li 001; Liang Chang 003 (Eng. Appl. Artif. Intell., 2023)

Heterogeneous graph convolution based on In-domain Self-supervision for Multimodal Sentiment Analysis. - Yufei Zeng; Zhixin Li 001; Zhenjun Tang; Zhenbin Chen; Huifang Ma (Expert Syst. Appl., 2023)

Unifying knowledge iterative dissemination and relational reconstruction network for image-text matching. - Xiumin Xie; Zhixin Li 001; Zhenjun Tang; Dan Yao; Huifang Ma (Inf. Process. Manag., 2023)

Attributed multi-query community search via random walk similarity. - Qingqing Li; Huifang Ma; Ju Li 004; Zhixin Li 001; Liang Chang 003 (Inf. Sci., 2023)

Modeling graph-structured contexts for image captioning. - Zhixin Li 001; Jiahui Wei; Feicheng Huang; Huifang Ma (Image Vis. Comput., 2023)

Adaptive target community search with sample expansion. - Haijiao Liu; Huifang Ma; Zhixin Li 001; Liang Chang 003 (Knowl. Based Syst., 2023)

Dual graph attention networks for multi-behavior recommendation. - Yunhe Wei; Huifang Ma; Yike Wang 001; Zhixin Li 001; Liang Chang 003 (Int. J. Mach. Learn. Cybern., 2023)

FIRE: knowledge-enhanced recommendation with feature interaction and intent-aware attention networks. - Ruoyi Zhang; Huifang Ma; Qingfeng Li 001; Yike Wang 001; Zhixin Li 001 (Appl. Intell., 2023)

Exploiting multiple question factors for knowledge tracing. - Yan Zhao; Huifang Ma; Wentao Wang; Weiwei Gao; Fanyi Yang; Xiangchun He (Expert Syst. Appl., 2023)

Dual-view co-contrastive learning for multi-behavior recommendation. - Qingfeng Li 001; Huifang Ma; Ruoyi Zhang; Wangyu Jin; Zhixin Li 001 (Appl. Intell., 2023)

Dual-scale Contrastive Learning for multi-behavior recommendation. - Qingfeng Li 001; Huifang Ma; Ruoyi Zhang; Wangyu Jin; Zhixin Li 001 (Appl. Soft Comput., 2023)

A multichannel location-aware interaction network for visual classification. - Qiangxi Zhu; Zhixin Li 001; Wenlan Kuang; Huifang Ma (Appl. Intell., 2023)

Efficient multi-scale community search method based on spectral graph wavelet. - Cairui Yan; Huifang Ma; Qingqing Li; Fanyi Yang; Zhixin Li 001 (Frontiers Comput. Sci., 2023)

Causal-ViT: Robust Vision Transformer by causal intervention. - Wei Li 233; Zhixin Li 001; Xiwei Yang; Huifang Ma (Eng. Appl. Artif. Intell., 2023)

Mining graph-based dynamic relationships for object detection. - Xiwei Yang; Zhixin Li 001; Xinfang Zhong; Canlong Zhang; Huifang Ma (Eng. Appl. Artif. Intell., 2023)

Polarized Communities Search via Co-guided Random Walk in Attributed Signed Networks. - Fanyi Yang; Huifang Ma; Cairui Yan; Zhixin Li 001; Liang Chang 003 (ACM Trans. Internet Techn., 2023)

Aspect-level sentiment analysis based on semantic heterogeneous graph convolutional network. - Yufei Zeng; Zhixin Li 001; Zhenbin Chen; Huifang Ma (Frontiers Comput. Sci., 2023)

GCS: A Graph-Augmented Semi-supervised Contrastive Learning Approach for Imbalanced Dissolved Gas Analysis in Power Transformers. - Ke Shu; Huifang Ma; Li Yu; Qibin Zhang (ADMA (3), 2024)

Graph Contrastive Learning for Dissolved Gas Analysis. - Yingyue Zhang; Huifang Ma; Di Zhang; Ke Shu; Xiaolong Li (ADMA (3), 2024)

Path-Aware Co-contrastive Learning for Signed Directed Network Embedding. - Yuechen Tang; Huifang Ma; Ke Shu; Zhixin Li 001; Liang Chang 003 (DASFAA (6), 2024)

Time-aware Session Modeling for Knowledge Tracing. - Jing Wang; Huifang Ma; Mengyuan Zhang; Zhixin Li 001; Liang Chang 003 (DASFAA (4), 2024)

Dual-Channel Dual-Scale Interactive Learning for the Prediction of Compound-Protein Interaction. - Zheyu Wu; Huifang Ma; Bin Deng; Zhixin Li 001; Liang Chang 003 (DASFAA (7), 2024)

Beyond Homophily: Attributed Graph Anomaly Detection via Heterophily-Aware Contrastive Learning Network. - Wangyu Jin; Huifang Ma; Yingyue Zhang; Zhixin Li; Liang Chang (ICANN (5), 2024)

Key Substructure-Driven Backdoor Attacks on Graph Neural Networks. - Haibin Tong; Huifang Ma; Hui Shen; Zhixin Li 001; Liang Chang 003 (ICANN (5), 2024)

Weakly-Supervised Semantic Segmentation via Label Re-assignment in Dual-View Framework. - Chen Wang; Di Zhang; Xiaolong Li; Huifang Ma; Zhixin Li (ICANN (3), 2024)

Users' Preference-Aware Music Recommendation with Contrastive Learning. - Jian Wang; Huifang Ma (ICIC (12), 2024)

Multi-Interest Network with Simple Diffusion for Multi-Behavior Sequential Recommendation. - Qingfeng Li 001; Huifang Ma; Wangyu Jin; Yugang Ji; Zhixin Li 001 (SDM, 2024)

GraphSmin: Imbalanced dissolved gas analysis with contrastive dual-channel graph filters. - Ke Shu; Huifang Ma; Jinpeng Yang; Di Zhang (Adv. Eng. Informatics, 2024)

Co-guided Dual-channel Graph Neural Networks for the prediction of compound-protein interaction. - Zheyu Wu; Huifang Ma; Bin Deng; Zhixin Li 001; Liang Chang 003 (Appl. Soft Comput., 2024)

Object detection with a dynamic interactive network based on relational graph routing. - Xiwei Yang; Zhixin Li 001; Wenlan Kuang; Canlong Zhang; Huifang Ma (Appl. Soft Comput., 2024)

HCPM: Hierarchical Candidates Pruning for Efficient Detector-Free Matching. - Ying Chen; Yong Liu 032; Kai Wu; Qiang Nie; Shang Xu; Huifang Ma; Bing Wang 013; Chengjie Wang (CoRR, 2024)

Crucial rather than random: Attacking crucial substructure for backdoor attacks on graph neural networks. - Haibin Tong; Huifang Ma; Hui Shen; Zhixin Li 001; Liang Chang 003 (Eng. Appl. Artif. Intell., 2024)

Unsupervised cross-modal hashing retrieval via Dynamic Contrast and Optimization. - Xiumin Xie; Zhixin Li 001; Bo Li 144; Canlong Zhang; Huifang Ma (Eng. Appl. Artif. Intell., 2024)

GAP: A novel Generative context-Aware Prompt-tuning method for relation extraction. - Zhenbin Chen; Zhixin Li 001; Yufei Zeng; Canlong Zhang; Huifang Ma (Expert Syst. Appl., 2024)

Multi-view discriminative edge heterophily contrastive learning network for attributed graph anomaly detection. - Wangyu Jin; Huifang Ma; Yingyue Zhang; Zhixin Li 001; Liang Chang 003 (Expert Syst. Appl., 2024)

Hypergraph-enhanced multi-interest learning for multi-behavior sequential recommendation. - Qingfeng Li 001; Huifang Ma; Wangyu Jin; Yugang Ji; Zhixin Li 001 (Expert Syst. Appl., 2024)

Sentence salience contrastive learning for abstractive text summarization. - Ying Huang; Zhixin Li 001; Zhenbin Chen; Canlong Zhang; Huifang Ma (Neurocomputing, 2024)

Exploring refined dual visual features cross-combination for image captioning. - Junbo Hu; Zhixin Li 001; Qiang Su; Zhenjun Tang; Huifang Ma (Neural Networks, 2024)

Mining core information by evaluating semantic importance for unpaired image captioning. - Jiahui Wei; Zhixin Li 001; Canlong Zhang; Huifang Ma (Neural Networks, 2024)

Multi-Source Remote Sensing Images Semantic Segmentation Based on Differential Feature Attention Fusion. - Di Zhang; Peicheng Yue; Yuhang Yan; Qianqian Niu; Jiaqi Zhao 001; Huifang Ma (Remote. Sens., 2024)

A feature-based restoration dynamic interaction network for multimodal sentiment analysis. - Yufei Zeng; Zhixin Li 001; Zhenbin Chen; Huifang Ma (Eng. Appl. Artif. Intell., 2024)

Dual graph neural network for overlapping community detection. - Xiaohong Li 012; Qixuan Peng; Ruihong Li; Huifang Ma (J. Supercomput., 2024)

Incorporating metapath interaction on heterogeneous information network for social recommendation. - Yanbin Jiang; Huifang Ma; Xiaohui Zhang 020; Zhixin Li 001; Liang Chang 003 (Frontiers Comput. Sci., 2024)

Adaptive fusion of structure and attribute guided polarized communities search. - Fanyi Yang; Huifang Ma; Wentao Wang; Zhixin Li 001; Liang Chang 003 (Frontiers Comput. Sci., 2024)

Question-response representation with dual-level contrastive learning for improving knowledge tracing. - Yan Zhao; Huifang Ma; Jing Wang; Xiangchun He; Liang Chang 003 (Inf. Sci., 2024)

Multiresolution Local Spectral Attributed Community Search. - Qingqing Li; Huifang Ma; Zhixin Li 001; Liang Chang 003 (ACM Trans. Web, 2024)

Similarity Graph-correlation Reconstruction Network for unsupervised cross-modal hashing. - Dan Yao; Zhixin Li 001; Bo Li 144; Canlong Zhang; Huifang Ma (Expert Syst. Appl., 2024)

Pre-training Question Embeddings for Improving Knowledge Tracing with Self-supervised Bi-graph Co-contrastive Learning. - Wentao Wang; Huifang Ma; Yan Zhao; Zhixin Li 001 (ACM Trans. Knowl. Discov. Data, 2024)

Attribute subspace-guided multi-scale community detection. - Cairui Yan; Huifang Ma; Yuechen Tang; Zhixin Li 001 (Neural Comput. Appl., 2024)

Criterion-guided polypharmacy side effects prediction with dual-view contrastive learning. - Yike Wang 001; Huifang Ma; Zihao Gao; Zhixin Li 001; Liang Chang 003 (Appl. Soft Comput., 2025)

Dynamic window sampling strategy for image captioning. - Zhixin Li 001; Jiahui Wei; Tiantao Xian; Canlong Zhang; Huifang Ma (Eng. Appl. Artif. Intell., 2025)

A cross-modal collaborative guiding network for sarcasm explanation in multi-modal multi-party dialogues. - Xingjie Zhuang; Zhixin Li 001; Canlong Zhang; Huifang Ma (Eng. Appl. Artif. Intell., 2025)

KDCS-PPI: Knowledge distillation with counterfactual sampling for Protein-Protein Interaction prediction. - Bin Deng; Huifang Ma; Ruijia Zhang; Zhixin Li 001; Liang Chang 003 (Expert Syst. Appl., 2025)

Relevance-aware prompt-tuning method for multimodal social entity and relation extraction. - Zhenbin Chen; Zhixin Li 001; Mingqi Liu; Canlong Zhang; Huifang Ma (Neurocomputing, 2025)

Enhancing weakly supervised semantic segmentation with efficient and robust neighbor-attentive superpixel aggregation. - Chen Wang; Huifang Ma; Di Zhang; Xiaolong Li; Zhixin Li (Image Vis. Comput., 2025)

Fusing grid and adaptive region features for image captioning. - Jiahui Wei; Zhixin Li 001; Canlong Zhang; Huifang Ma (Image Vis. Comput., 2025)

Multi-Granularity Ensemble Interaction Graph Modeling for Knowledge Tracing. - Jing Wang; Huifang Ma; Mengyuan Zhang; Lei Zhang; Liang Chang (Knowl. Based Syst., 2025)

DyCR-Net: A dynamic context-aware routing network for multi-modal sarcasm detection in conversation. - Xingjie Zhuang; Zhixin Li 001; Fengling Zhou; Jingliang Gu; Canlong Zhang; Huifang Ma (Knowl. Based Syst., 2025)

The information needs of users in the metaverse communities: a grounded theory study. - Yajun Guo; Huifang Ma; Jiahua Zhou; Yanchen Chen; Yiming Yuan (Libr. Hi Tech, 2025)

Dual-view graph-of-graph representation learning with graph Transformer for graph-level anomaly detection. - Wangyu Jin; Huifang Ma; Yingyue Zhang; Zhixin Li 001; Liang Chang 003 (Neural Networks, 2025)

Beyond Homophily: Class imbalance graph classification via Rewiring Graph of Graphs. - Hui Shen; Huifang Ma; Jiyuan Sun; Yuwei Gao; Zhixin Li 001 (Neural Networks, 2025)

Enhancing robust VQA via contrastive and self-supervised learning. - Runlin Cao; Zhixin Li 001; Zhenjun Tang; Canlong Zhang; Huifang Ma (Pattern Recognit., 2025)

Hierarchical-enhanced graph convolutional networks leveraging causal inference for aspect-based sentiment analysis. - Fengling Zhou; Zhixin Li 001; Canlong Zhang; Huifang Ma (Appl. Intell., 2025)

Multiscale session-enhanced long time series modeling for power transformer oil temperature prediction. - Mengyuan Zhang; Huifang Ma; Yafei Yang; Yuwei Gao; Qibin Zhang (J. Supercomput., 2025)

Graph knowledge distillation-guided few-shot learning for hyperspectral image classification. - Xiaolong Li; Huifang Ma; Shuheng Guo; Di Zhang; Zhixin Li (J. Supercomput., 2025)

Enhancing knowledge tracing with fine-grained session modeling. - Jing Wang; Huifang Ma; Mengyuan Zhang; Zhixin Li 001; Liang Chang 003 (Int. J. Mach. Learn. Cybern., 2025)

Dual-Channel Graph Ranking Contrastive Learning for Dissolved Gas Analysis. - Yingyue Zhang; Huifang Ma; Di Zhang; Ke Shu; Xiaolong Li (IEEE Trans. Ind. Informatics, 2025)

Unsupervised contrastive domain adaptive rumor detection with test-time classifier adjustment. - Hongyan Ran; Di Zhang; Xiaohong Li; Huifang Ma; Caiyan Jia; Yaogong Feng (Inf. Process. Manag., 2026)