| 2026 | AAAI | Topology-Enhanced and Label Correlation-Aware Model for Protein-Protein Interaction Prediction. | Bin Deng, Huifang Ma, Ruijia Zhang, Meihuizi Jia, Rui Bing |
| 2024 | ADMA | 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 |
| 2024 | ADMA | Graph Contrastive Learning for Dissolved Gas Analysis. | Yingyue Zhang, Huifang Ma, Di Zhang, Ke Shu, Xiaolong Li |
| 2024 | DASFAA | Path-Aware Co-contrastive Learning for Signed Directed Network Embedding. | Yuechen Tang, Huifang Ma, Ke Shu, Zhixin Li, Liang Chang |
| 2024 | DASFAA | Time-aware Session Modeling for Knowledge Tracing. | Jing Wang, Huifang Ma, Mengyuan Zhang, Zhixin Li, Liang Chang |
| 2024 | DASFAA | Dual-Channel Dual-Scale Interactive Learning for the Prediction of Compound-Protein Interaction. | Zheyu Wu, Huifang Ma, Bin Deng, Zhixin Li, Liang Chang |
| 2024 | ICANN | Beyond Homophily: Attributed Graph Anomaly Detection via Heterophily-Aware Contrastive Learning Network. | Wangyu Jin, Huifang Ma, Yingyue Zhang, Zhixin Li, Liang Chang |
| 2024 | ICANN | Key Substructure-Driven Backdoor Attacks on Graph Neural Networks. | Haibin Tong, Huifang Ma, Hui Shen, Zhixin Li, Liang Chang |
| 2024 | ICANN | Weakly-Supervised Semantic Segmentation via Label Re-assignment in Dual-View Framework. | Chen Wang, Di Zhang, Xiaolong Li, Huifang Ma, Zhixin Li |
| 2024 | SDM | Multi-Interest Network with Simple Diffusion for Multi-Behavior Sequential Recommendation. | Qingfeng Li, Huifang Ma, Wangyu Jin, Yugang Ji, Zhixin Li |
| 2023 | CIKM | Synergistic Disease Similarity Measurement via Unifying Hierarchical Relation Perception and Association Capturing. | Zihao Gao, Huifang Ma, Yike Wang, Zhixin Li, Liang Chang |
| 2023 | CIKM | Co-guided Random Walk for Polarized Communities Search. | Fanyi Yang, Huifang Ma, Cairui Yan, Zhixin Li, Liang Chang |
| 2023 | DASFAA | Intra- and Inter-behavior Contrastive Learning for Multi-behavior Recommendation. | Qingfeng Li, Huifang Ma, Ruoyi Zhang, Wangyu Jin, Zhixin Li |
| 2023 | DASFAA | Local Spectral for Polarized Communities Search in Attributed Signed Network. | Fanyi Yang, Huifang Ma, Wentao Wang, Zhixin Li, Liang Chang |
| 2023 | DASFAA | Multi-scale Community Detection in Subspace of Attribute. | Cairui Yan, Huifang Ma, Yuechen Tang, Xiaohong Li, Zhixin Li |
| 2023 | DASFAA | Dual-View Self-supervised Co-training for Knowledge Graph Recommendation. | Ruoyi Zhang, Huifang Ma, Qingfeng Li, Yike Wang, Zhixin Li |
| 2023 | IJCNN | Improving Knowledge Tracing with Diverse Question Factors. | Yan Zhao, Huifang Ma, Wentao Wang, Weiwei Gao, Jing Wang, Xiangchun He |
| 2023 | KSEM | Candidate-Aware Attention Enhanced Graph Neural Network for News Recommendation. | Xiaohong Li, Ruihong Li, Qixuan Peng, Huifang Ma |
| 2022 | DASFAA | PERM: Pre-training Question Embeddings via Relation Map for Improving Knowledge Tracing. | Wentao Wang, Huifang Ma, Yan Zhao, Fanyi Yang, Liang Chang |
| 2022 | DASFAA | Multi-behavior Recommendation with Two-Level Graph Attentional Networks. | Yunhe Wei, Huifang Ma, Yike Wang, Zhixin Li, Liang Chang |
| 2022 | DASFAA | Enhancing Session-Based Recommendation with Global Context Information and Knowledge Graph. | Xiaohui Zhang, Huifang Ma, Zihao Gao, Zhixin Li, Liang Chang |
| 2022 | ICASSP | Exploring Dual Stream Global Information For Image Captioning. | Tiantao Xian, Zhixin Li, Tianyu Chen, Huifang Ma |
| 2022 | IJCNN | A Knowledge Graph Recommendation Model via High-order Feature Interaction and Intent Decomposition. | Ruoyi Zhang, Huifang Ma, Qingfeng Li, Zhixin Li, Yike Wang |
| 2022 | ICTAI | Drug Side Effects Prediction via Heterogeneous Multi-Relational Graph Convolutional Networks. | Yike Wang, Huifang Ma, Ruoyi Zhang, Zihao Gao |
| 2022 | PRICAI | Co-contrastive Self-supervised Learning for Drug-Disease Association Prediction. | Zihao Gao, Huifang Ma, Xiaohui Zhang, Zheyu Wu, Zhixin Li |
| 2022 | PRICAI | Co-contrastive Learning for Multi-behavior Recommendation. | Qingfeng Li, Huifang Ma, Ruoyi Zhang, Wangyu Jin, Zhixin Li |
| 2022 | PRICAI | Cross-View Contrastive Learning for Knowledge-Aware Session-Based Recommendation. | Xiaohui Zhang, Huifang Ma, Fanyi Yang, Zhixin Li, Liang Chang |
| 2022 | SDM | Flexible Image Captioning via Internal Understanding and External Reasoning. | Jiahui Wei, Zhixin Li, Jianwei Zhu, Huifang Ma |
| 2021 | ACML | Relation Also Need Attention: Integrating Relation Information Into Image Captioning. | Tianyu Chen, Zhixin Li, Tiantao Xian, Canlong Zhang, Huifang Ma |
| 2021 | ICANN | Relevance-Aware Q-matrix Calibration for Knowledge Tracing. | Wentao Wang, Huifang Ma, Yan Zhao, Zhixin Li, Xiangchun He |
| 2021 | IJCNN | Attentional Social Recommendation System with Graph Convolutional Network. | Yanbin Jiang, Huifang Ma, Yuhang Liu, Zhixin Li |
| 2021 | IJCNN | A two-stage community search method based on seed replacement and joint random walk. | Ju Li, Huifang Ma, Qingqing Li, Zhixin Li, Liang Chang |
| 2021 | IJCNN | Incorporating User Preference into Multi-community and Outliers Search. | Qingqing Li, Huifang Ma, Ju Li, Zhixin Li, Yanbing Jiang |
| 2021 | IJCNN | TT2INet: Text to Photo-realistic Image Synthesis with Transformer as Text Encoder. | Jianwei Zhu, Zhixin Li, Huifang Ma |
| 2021 | PAKDD | Exploring Implicit Relationships in Social Network for Recommendation Systems. | Yunhe Wei, Huifang Ma, Ruoyi Zhang, Zhixin Li, Liang Chang |
| 2021 | PRICAI | Adversarial Training for Image Captioning Incorporating Relation Attention. | Tianyu Chen, Zhixin Li, Canlong Zhang, Huifang Ma |
| 2020 | CIKM | Image Captioning with Internal and External Knowledge. | Feicheng Huang, Zhixin Li, Shengjia Chen, Canlong Zhang, Huifang Ma |
| 2020 | ICDM | Improving Object Detection with Relation Mining Network. | Shengjia Chen, Zhixin Li, Feicheng Huang, Canlong Zhang, Huifang Ma |
| 2020 | ICIP | Robust Adversarial Learning For Semi-Supervised Semantic Segmentation. | Jia Zhang, Zhixin Li, Canlong Zhang, Huifang Ma |
| 2020 | ICONIP | An Overlapping Community Detection with Subspaces on Double-Views. | Yang Chang, Huifang Ma, Yun Su, Zhixin Li |
| 2020 | ICONIP | Exploring User Trust and Reliability for Recommendation: A Hypergraph Ranking Approach. | Yanbin Jiang, Huifang Ma, Yuhang Liu, Zhixin Li |
| 2020 | ICONIP | Top-N Recommendation in P2P Lending: A Hybrid Graph Ranking Using Investor Profile. | Yuhang Liu, Huifang Ma, Yanbin Jiang, Zhixin Li |
| 2020 | ICPR | Object Detection Using Dual Graph Network. | Shengjia Chen, Zhixin Li, Feicheng Huang, Canlong Zhang, Huifang Ma |
| 2020 | ICPR | Cross-media Hash Retrieval Using Multi-head Attention Network. | Zhixin Li, Feng Ling, Chuansheng Xu, Canlong Zhang, Huifang Ma |
| 2020 | ICPR | Reinforcement Learning with Dual Attention Guided Graph Convolution for Relation Extraction. | Zhixin Li, Yaru Sun, Suqin Tang, Canlong Zhang, Huifang Ma |
| 2020 | ICPR | Object Detection Model Based on Scene-Level Region Proposal Self-Attention. | Yu Quan, Zhixin Li, Canlong Zhang, Huifang Ma |
| 2020 | IJCNN | Leveraging Multisource Information in Matrix Factorization for Social Collaborative Filtering. | Lele Huang, Huifang Ma, Xiangchun He, Liang Chang |
| 2020 | IJCNN | Adaptive Graph Convolutional Networks with Attention Mechanism for Relation Extraction. | Zhixin Li, Yara Sun, Suqin Tang, Canlong Zhang, Huifang Ma |
| 2020 | IJCNN | Object Detection by Integrating Scene-Level Semantic Information and Border Regression Reinforcement. | Yu Quan, Zhixin Li, Canlong Zhang, Huifang Ma |
| 2020 | IJCNN | Robust Semi-Supervised Semantic Segmentation Based on Self-Attention and Spectral Normalization. | Jia Zhang, Zhixin Li, Canlong Zhang, Huifang Ma |
| 2020 | ICTAI | NotMle: Community Detection in an Inference Way. | Qiqi Zhao, Huifang Ma, Xiaohong Li, Zhixin Li |
| 2019 | DASFAA | SBRNE: An Improved Unified Framework for Social and Behavior Recommendations with Network Embedding. | Weizhong Zhao, Huifang Ma, Zhixin Li, Xiang Ao, Ning Li |
| 2019 | IJCNN | Automatic Image Annotation based on Co-Training. | Zhixin Li, Lan Lin, Canlong Zhang, Huifang Ma, Weizhong Zhao |
| 2019 | ICTAI | Sentence-Level Semantic Features Guided Adversarial Network for Zhuang Language Part-of-Speech Tagging. | Zhixin Li, Yaru Sun, Suqin Tang, Canlong Zhang, Huifang Ma |
| 2019 | KSEM | Leveraging User Preferences for Community Search via Attribute Subspace. | Haijiao Liu, Huifang Ma, Yang Chang, Zhixin Li, Wenjuan Wu |
| 2019 | KSEM | Enhancing Graph-Based Keywords Extraction with Node Association. | Huifang Ma, Shuang Wang, Miao Li, Ning Li |
| 2019 | KSEM | Effectively Classify Short Texts with Sparse Representation Using Entropy Weighted Constraint. | Ting Tuo, Huifang Ma, Zhixin Li, Xianghong Lin |
| 2019 | PAKDD | Short Text Similarity Measurement Based on Coupled Semantic Relation and Strong Classification Features. | Huifang Ma, Wen Liu, Zhixin Li, Xianghong Lin |
| 2019 | PAKDD | Effectively Representing Short Text via the Improved Semantic Feature Space Mapping. | Ting Tuo, Huifang Ma, Haijiao Liu, Jiahui Wei |
| 2018 | ICDM | Leveraging Hypergraph Random Walk Tag Expansion and User Social Relation for Microblog Recommendation. | Huifang Ma, Di Zhang, Weizhong Zhao, Yanru Wang, Zhongzhi Shi |
| 2018 | ICONIP | A Neuronal Morphology Classification Approach Based on Deep Residual Neural Networks. | Xianghong Lin, Jianyang Zheng, Xiangwen Wang, Huifang Ma |
| 2018 | ICONIP | Learning from Titles to Recommend Keywords for Academic Papers. | Huifang Ma, Fang Liu, Qin Xia, Li Yu |
| 2018 | KSEM | An Overlapping Microblog Community Detection Method Using New Partition Criterion. | Huifang Ma, Meng Xie, Jiahui Wei, Tingnian He |
| 2017 | KSEM | Leveraging Term Co-occurrence Distance and Strong Classification Features for Short Text Feature Selection. | Huifang Ma, Yuying Xing, Shuang Wang, Miao Li |
| 2016 | ICONIP | A Tag Probability Correlation Based Microblog Recommendation Method. | Di Zhang, Huifang Ma, Junjie Jia, Li Yu |
| 2016 | IJCNN | Tag correlation and user social relation based microblog recommendation. | Huifang Ma, Meihuizi Jia, Xianghong Lin, Fuzhen Zhuang |
| 2016 | PRICAI | A Microblog Hot Topic Detection Algorithm Based on Discrete Particle Swarm Optimization. | Huifang Ma, Yugang Ji, Xiaohong Li, Runan Zhou |
| 2015 | KSEM | A Microblog Recommendation Algorithm Based on Multi-tag Correlation. | Huifang Ma, Meihuizi Jia, Meng Xie, Xianghong Lin |
| 2015 | KSEM | Semi-supervised Microblog Clustering Method via Dual Constraints. | Huifang Ma, Meihuizi Jia, Weizhong Zhao, Xianghong Lin |
| 2014 | APWEB | Semi-supervised Nonnegative Matrix Factorization for Microblog Clustering Based on Term Correlation. | Huifang Ma, Meihuizi Jia, YaKai Shi, Zhanjun Hao |
| 2014 | ICMLC | Microblog hot topic detection based on topic model using term correlation matrix. | Huifang Ma, Yue-Xin Sun, Mei-Hui-Zi Jia, Zhichang Zhang |
| 2013 | ICMLC | Supervised-LDA: A probabilistic topic model for collaborative filtering. | Weizhong Zhao, Huifang Ma, Zmxin Li, Ning Li |
| 2012 | SNPD | A Novel Online Event Analysis Framework for Micro-blog Based on Incremental Topic Modeling. | Huifang Ma, Bo Wang, Ning Li |
| 2011 | ICMLC | Hot topic extraction using time window. | Huifang Ma |
| 2011 | ICMLC | A new non-negative matrix factorization algorithm with sparseness constraints. | Weizhong Zhao, Huifang Ma, Ning Li |
| 2010 | APWEB | Combining the Missing Link: An Incremental Topic Model of Document Content and Hyperlink. | Huifang Ma, Zhixin Li, Zhongzhi Shi |
| 2010 | PAKDD | Orthogonal Nonnegative Matrix Tri-factorization for Semi-supervised Document Co-clustering. | Huifang Ma, Weizhong Zhao, Qing Tan, Zhongzhi Shi |
| 2009 | CloudCom | Parallel | Weizhong Zhao, Huifang Ma, Qing He |