Huifang Ma - RankMe

237 papers A* 4A 7B 23C 8Misc 5Journal 124Unranked 66

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Balanced poisoning: A stealthy backdoor attack for node classification in imbalanced graph data. Knowl. Based Syst. Haibin Tong, Huifang Ma, Hui Shen, Zhixin Li, Liang Chang
2026	J	`jnl`	Bias mitigation label and aware context for debiased visual question answering. Expert Syst. Appl. Runlin Cao, Zhixin Li, Zhenjun Tang, Huifang Ma
2026	J	`jnl`	DAWN: Dimension-aware graph contrastive learning for few-shot dissolved gas analysis. Expert Syst. Appl. Jiyuan Sun, Huifang Ma, Shuai Yang, Rui Bing, Zhixin Li
2026	J	`jnl`	Dual-channel hierarchical interactive learning for the prediction of Protein-Ligand binding affinity. Neural Networks Zheyu Wu, Huifang Ma, Bin Deng, Zhixin Li, Liang Chang
2026	J	`jnl`	Feature structure co-optimized augmented network for graph anomaly detection. Inf. Process. Manag. Yingyue Zhang, Huifang Ma, Rui Bing, Meihuizi Jia, Xiaofei Wang
2026	A*	`conf`	Topology-Enhanced and Label Correlation-Aware Model for Protein-Protein Interaction Prediction. AAAI Bin Deng, Huifang Ma, Ruijia Zhang, Meihuizi Jia, Rui Bing
2026	J	`jnl`	Twin contrastive interventional-cause hashing for unsupervised cross-modal retrieval. Neural Networks Bo Li, Zhixin Li, Shuni Jiang, Canlong Zhang, Huifang Ma
2026	J	`jnl`	Unsupervised contrastive domain adaptive rumor detection with test-time classifier adjustment. Inf. Process. Manag. Hongyan Ran, Di Zhang, Xiaohong Li, Huifang Ma, Caiyan Jia, Yaogong Feng
2025	J	`jnl`	A cross-modal collaborative guiding network for sarcasm explanation in multi-modal multi-party dialogues. Eng. Appl. Artif. Intell. Xingjie Zhuang, Zhixin Li, Canlong Zhang, Huifang Ma
2025	J	`jnl`	Assessing Large Multimodal Models for One-Shot Learning and Interpretability in Biomedical Image Classification. Adv. Intell. Syst. Wenpin Hou, Qi Liu, Huifang Ma, Yilong Qu, Zhicheng Ji
2025	J	`jnl`	Beyond Homophily: Class imbalance graph classification via Rewiring Graph of Graphs. Neural Networks Hui Shen, Huifang Ma, Jiyuan Sun, Yuwei Gao, Zhixin Li
2025	J	`jnl`	Criterion-guided polypharmacy side effects prediction with dual-view contrastive learning. Appl. Soft Comput. Yike Wang, Huifang Ma, Zihao Gao, Zhixin Li, Liang Chang
2025	J	`jnl`	Cross-Session Graph and Hypergraph Co-Guided Session-Based Recommendation. Symmetry Pingrong Li, Huifang Ma
2025	J	`jnl`	DAISY: Dual-Granularity Contrastive Learning for Disease Similarity Prediction. IEEE Trans. Comput. Biol. Bioinform. Zihao Gao, Huifang Ma, Yike Wang, Zhixin Li, Liang Chang
2025	J	`jnl`	Dual-Channel Graph Ranking Contrastive Learning for Dissolved Gas Analysis. IEEE Trans. Ind. Informatics Yingyue Zhang, Huifang Ma, Di Zhang, Ke Shu, Xiaolong Li
2025	J	`jnl`	Dual-Graph Knowledge Distillation Meets Multiscale CNN: A Novel Ensemble Approach for Few-Shot Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. Xiaolong Li, Huifang Ma, Shuheng Guo, Di Zhang, Zhixin Li
2025	J	`jnl`	Dual-view graph-of-graph representation learning with graph Transformer for graph-level anomaly detection. Neural Networks Wangyu Jin, Huifang Ma, Yingyue Zhang, Zhixin Li, Liang Chang
2025	J	`jnl`	DyCR-Net: A dynamic context-aware routing network for multi-modal sarcasm detection in conversation. Knowl. Based Syst. Xingjie Zhuang, Zhixin Li, Fengling Zhou, Jingliang Gu, Canlong Zhang, Huifang Ma
2025	J	`jnl`	Dynamic window sampling strategy for image captioning. Eng. Appl. Artif. Intell. Zhixin Li, Jiahui Wei, Tiantao Xian, Canlong Zhang, Huifang Ma
2025	J	`jnl`	Enhancing knowledge tracing with fine-grained session modeling. Int. J. Mach. Learn. Cybern. Jing Wang, Huifang Ma, Mengyuan Zhang, Zhixin Li, Liang Chang
2025	J	`jnl`	Enhancing robust VQA via contrastive and self-supervised learning. Pattern Recognit. Runlin Cao, Zhixin Li, Zhenjun Tang, Canlong Zhang, Huifang Ma
2025	J	`jnl`	Enhancing weakly supervised semantic segmentation with efficient and robust neighbor-attentive superpixel aggregation. Image Vis. Comput. Chen Wang, Huifang Ma, Di Zhang, Xiaolong Li, Zhixin Li
2025	J	`jnl`	Fusing grid and adaptive region features for image captioning. Image Vis. Comput. Jiahui Wei, Zhixin Li, Canlong Zhang, Huifang Ma
2025	J	`jnl`	Graph knowledge distillation-guided few-shot learning for hyperspectral image classification. J. Supercomput. Xiaolong Li, Huifang Ma, Shuheng Guo, Di Zhang, Zhixin Li
2025	J	`jnl`	Graph-enhanced fault hierarchical perception for Dissolved Gas Analysis in power transformer. Eng. Appl. Artif. Intell. Yingyue Zhang, Huifang Ma, Yuwei Gao, Shengjiang Peng, Ruijia Zhang
2025	J	`jnl`	Hierarchical-enhanced graph convolutional networks leveraging causal inference for aspect-based sentiment analysis. Appl. Intell. Fengling Zhou, Zhixin Li, Canlong Zhang, Huifang Ma
2025	J	`jnl`	KDCS-PPI: Knowledge distillation with counterfactual sampling for Protein-Protein Interaction prediction. Expert Syst. Appl. Bin Deng, Huifang Ma, Ruijia Zhang, Zhixin Li, Liang Chang
2025	J	`jnl`	Multi-Granularity Ensemble Interaction Graph Modeling for Knowledge Tracing. Knowl. Based Syst. Jing Wang, Huifang Ma, Mengyuan Zhang, Lei Zhang, Liang Chang
2025	J	`jnl`	Multiscale session-enhanced long time series modeling for power transformer oil temperature prediction. J. Supercomput. Mengyuan Zhang, Huifang Ma, Yafei Yang, Yuwei Gao, Qibin Zhang
2025	J	`jnl`	Relevance-aware prompt-tuning method for multimodal social entity and relation extraction. Neurocomputing Zhenbin Chen, Zhixin Li, Mingqi Liu, Canlong Zhang, Huifang Ma
2025	J	`jnl`	The information needs of users in the metaverse communities: a grounded theory study. Libr. Hi Tech Yajun Guo, Huifang Ma, Jiahua Zhou, Yanchen Chen, Yiming Yuan
2024	J	`jnl`	A feature-based restoration dynamic interaction network for multimodal sentiment analysis. Eng. Appl. Artif. Intell. Yufei Zeng, Zhixin Li, Zhenbin Chen, Huifang Ma
2024	J	`jnl`	Adaptive fusion of structure and attribute guided polarized communities search. Frontiers Comput. Sci. Fanyi Yang, Huifang Ma, Wentao Wang, Zhixin Li, Liang Chang
2024	J	`jnl`	Attribute subspace-guided multi-scale community detection. Neural Comput. Appl. Cairui Yan, Huifang Ma, Yuechen Tang, Zhixin Li
2024	—	`conf`	Beyond Homophily: Attributed Graph Anomaly Detection via Heterophily-Aware Contrastive Learning Network. ICANN (5) Wangyu Jin, Huifang Ma, Yingyue Zhang, Zhixin Li, Liang Chang
2024	J	`jnl`	Co-guided Dual-channel Graph Neural Networks for the prediction of compound-protein interaction. Appl. Soft Comput. Zheyu Wu, Huifang Ma, Bin Deng, Zhixin Li, Liang Chang
2024	J	`jnl`	Crucial rather than random: Attacking crucial substructure for backdoor attacks on graph neural networks. Eng. Appl. Artif. Intell. Haibin Tong, Huifang Ma, Hui Shen, Zhixin Li, Liang Chang
2024	J	`jnl`	Dual graph neural network for overlapping community detection. J. Supercomput. Xiaohong Li, Qixuan Peng, Ruihong Li, Huifang Ma
2024	—	`conf`	Dual-Channel Dual-Scale Interactive Learning for the Prediction of Compound-Protein Interaction. DASFAA (7) Zheyu Wu, Huifang Ma, Bin Deng, Zhixin Li, Liang Chang
2024	J	`jnl`	Exploring refined dual visual features cross-combination for image captioning. Neural Networks Junbo Hu, Zhixin Li, Qiang Su, Zhenjun Tang, Huifang Ma
2024	J	`jnl`	GAP: A novel Generative context-Aware Prompt-tuning method for relation extraction. Expert Syst. Appl. Zhenbin Chen, Zhixin Li, Yufei Zeng, Canlong Zhang, Huifang Ma
2024	—	`conf`	GCS: A Graph-Augmented Semi-supervised Contrastive Learning Approach for Imbalanced Dissolved Gas Analysis in Power Transformers. ADMA (3) Ke Shu, Huifang Ma, Li Yu, Qibin Zhang
2024	—	`conf`	Graph Contrastive Learning for Dissolved Gas Analysis. ADMA (3) Yingyue Zhang, Huifang Ma, Di Zhang, Ke Shu, Xiaolong Li
2024	J	`jnl`	GraphSmin: Imbalanced dissolved gas analysis with contrastive dual-channel graph filters. Adv. Eng. Informatics Ke Shu, Huifang Ma, Jinpeng Yang, Di Zhang
2024	J	`jnl`	HCPM: Hierarchical Candidates Pruning for Efficient Detector-Free Matching. CoRR Ying Chen, Yong Liu, Kai Wu, Qiang Nie, Shang Xu, Huifang Ma, Bing Wang, Chengjie Wang
2024	J	`jnl`	Hypergraph-enhanced multi-interest learning for multi-behavior sequential recommendation. Expert Syst. Appl. Qingfeng Li, Huifang Ma, Wangyu Jin, Yugang Ji, Zhixin Li
2024	J	`jnl`	Incorporating metapath interaction on heterogeneous information network for social recommendation. Frontiers Comput. Sci. Yanbin Jiang, Huifang Ma, Xiaohui Zhang, Zhixin Li, Liang Chang
2024	—	`conf`	Key Substructure-Driven Backdoor Attacks on Graph Neural Networks. ICANN (5) Haibin Tong, Huifang Ma, Hui Shen, Zhixin Li, Liang Chang
2024	J	`jnl`	Mining core information by evaluating semantic importance for unpaired image captioning. Neural Networks Jiahui Wei, Zhixin Li, Canlong Zhang, Huifang Ma
2024	A	`conf`	Multi-Interest Network with Simple Diffusion for Multi-Behavior Sequential Recommendation. SDM Qingfeng Li, Huifang Ma, Wangyu Jin, Yugang Ji, Zhixin Li
2024	J	`jnl`	Multi-Source Remote Sensing Images Semantic Segmentation Based on Differential Feature Attention Fusion. Remote. Sens. Di Zhang, Peicheng Yue, Yuhang Yan, Qianqian Niu, Jiaqi Zhao, Huifang Ma
2024	J	`jnl`	Multi-view discriminative edge heterophily contrastive learning network for attributed graph anomaly detection. Expert Syst. Appl. Wangyu Jin, Huifang Ma, Yingyue Zhang, Zhixin Li, Liang Chang
2024	J	`jnl`	Multiresolution Local Spectral Attributed Community Search. ACM Trans. Web Qingqing Li, Huifang Ma, Zhixin Li, Liang Chang
2024	J	`jnl`	Object detection with a dynamic interactive network based on relational graph routing. Appl. Soft Comput. Xiwei Yang, Zhixin Li, Wenlan Kuang, Canlong Zhang, Huifang Ma
2024	—	`conf`	Path-Aware Co-contrastive Learning for Signed Directed Network Embedding. DASFAA (6) Yuechen Tang, Huifang Ma, Ke Shu, Zhixin Li, Liang Chang
2024	J	`jnl`	Pre-training Question Embeddings for Improving Knowledge Tracing with Self-supervised Bi-graph Co-contrastive Learning. ACM Trans. Knowl. Discov. Data Wentao Wang, Huifang Ma, Yan Zhao, Zhixin Li
2024	J	`jnl`	Question-response representation with dual-level contrastive learning for improving knowledge tracing. Inf. Sci. Yan Zhao, Huifang Ma, Jing Wang, Xiangchun He, Liang Chang
2024	J	`jnl`	Sentence salience contrastive learning for abstractive text summarization. Neurocomputing Ying Huang, Zhixin Li, Zhenbin Chen, Canlong Zhang, Huifang Ma
2024	J	`jnl`	Similarity Graph-correlation Reconstruction Network for unsupervised cross-modal hashing. Expert Syst. Appl. Dan Yao, Zhixin Li, Bo Li, Canlong Zhang, Huifang Ma
2024	—	`conf`	Time-aware Session Modeling for Knowledge Tracing. DASFAA (4) Jing Wang, Huifang Ma, Mengyuan Zhang, Zhixin Li, Liang Chang
2024	J	`jnl`	Unsupervised cross-modal hashing retrieval via Dynamic Contrast and Optimization. Eng. Appl. Artif. Intell. Xiumin Xie, Zhixin Li, Bo Li, Canlong Zhang, Huifang Ma
2024	—	`conf`	Users' Preference-Aware Music Recommendation with Contrastive Learning. ICIC (12) Jian Wang, Huifang Ma
2024	—	`conf`	Weakly-Supervised Semantic Segmentation via Label Re-assignment in Dual-View Framework. ICANN (3) Chen Wang, Di Zhang, Xiaolong Li, Huifang Ma, Zhixin Li
2023	J	`jnl`	A multichannel location-aware interaction network for visual classification. Appl. Intell. Qiangxi Zhu, Zhixin Li, Wenlan Kuang, Huifang Ma
2023	J	`jnl`	Adaptive target community search with sample expansion. Knowl. Based Syst. Haijiao Liu, Huifang Ma, Zhixin Li, Liang Chang
2023	J	`jnl`	Aspect-level sentiment analysis based on semantic heterogeneous graph convolutional network. Frontiers Comput. Sci. Yufei Zeng, Zhixin Li, Zhenbin Chen, Huifang Ma
2023	J	`jnl`	Attributed multi-query community search via random walk similarity. Inf. Sci. Qingqing Li, Huifang Ma, Ju Li, Zhixin Li, Liang Chang
2023	—	`conf`	BACON: Boundary-guided Polypharmacy Side Effect Prediction via Integrating Molecular Structures and Biochemical Information. BIBM Yike Wang, Huifang Ma, Zihao Gao, Zhixin Li, Liang Chang
2023	—	`conf`	Candidate-Aware Attention Enhanced Graph Neural Network for News Recommendation. KSEM (3) Xiaohong Li, Ruihong Li, Qixuan Peng, Huifang Ma
2023	J	`jnl`	Causal-ViT: Robust Vision Transformer by causal intervention. Eng. Appl. Artif. Intell. Wei Li, Zhixin Li, Xiwei Yang, Huifang Ma
2023	A	`conf`	Co-guided Random Walk for Polarized Communities Search. CIKM Fanyi Yang, Huifang Ma, Cairui Yan, Zhixin Li, Liang Chang
2023	J	`jnl`	Dual graph attention networks for multi-behavior recommendation. Int. J. Mach. Learn. Cybern. Yunhe Wei, Huifang Ma, Yike Wang, Zhixin Li, Liang Chang
2023	—	`conf`	Dual-View Self-supervised Co-training for Knowledge Graph Recommendation. DASFAA (2) Ruoyi Zhang, Huifang Ma, Qingfeng Li, Yike Wang, Zhixin Li
2023	J	`jnl`	Dual-scale Contrastive Learning for multi-behavior recommendation. Appl. Soft Comput. Qingfeng Li, Huifang Ma, Ruoyi Zhang, Wangyu Jin, Zhixin Li
2023	J	`jnl`	Dual-view co-contrastive learning for multi-behavior recommendation. Appl. Intell. Qingfeng Li, Huifang Ma, Ruoyi Zhang, Wangyu Jin, Zhixin Li
2023	J	`jnl`	Efficient multi-scale community search method based on spectral graph wavelet. Frontiers Comput. Sci. Cairui Yan, Huifang Ma, Qingqing Li, Fanyi Yang, Zhixin Li
2023	J	`jnl`	Enhance understanding and reasoning ability for image captioning. Appl. Intell. Jiahui Wei, Zhixin Li, Jianwei Zhu, Huifang Ma
2023	J	`jnl`	Exploiting multiple question factors for knowledge tracing. Expert Syst. Appl. Yan Zhao, Huifang Ma, Wentao Wang, Weiwei Gao, Fanyi Yang, Xiangchun He
2023	J	`jnl`	FIRE: knowledge-enhanced recommendation with feature interaction and intent-aware attention networks. Appl. Intell. Ruoyi Zhang, Huifang Ma, Qingfeng Li, Yike Wang, Zhixin Li
2023	J	`jnl`	Heterogeneous graph convolution based on In-domain Self-supervision for Multimodal Sentiment Analysis. Expert Syst. Appl. Yufei Zeng, Zhixin Li, Zhenjun Tang, Zhenbin Chen, Huifang Ma
2023	J	`jnl`	Heterogeneous graph neural networks analysis: a survey of techniques, evaluations and applications. Artif. Intell. Rev. Rui Bing, Guan Yuan, Mu Zhu, Fanrong Meng, Huifang Ma, Shaojie Qiao
2023	B	`conf`	Improving Knowledge Tracing with Diverse Question Factors. IJCNN Yan Zhao, Huifang Ma, Wentao Wang, Weiwei Gao, Jing Wang, Xiangchun He
2023	—	`conf`	Intra- and Inter-behavior Contrastive Learning for Multi-behavior Recommendation. DASFAA (2) Qingfeng Li, Huifang Ma, Ruoyi Zhang, Wangyu Jin, Zhixin Li
2023	J	`jnl`	KGCL: A Knowledge-enhanced Graph Contrastive learning framework for session-based recommendation. Eng. Appl. Artif. Intell. Xiaohui Zhang, Huifang Ma, Fanyi Yang, Zhixin Li, Liang Chang
2023	—	`conf`	Local Spectral for Polarized Communities Search in Attributed Signed Network. DASFAA (3) Fanyi Yang, Huifang Ma, Wentao Wang, Zhixin Li, Liang Chang
2023	J	`jnl`	Mining graph-based dynamic relationships for object detection. Eng. Appl. Artif. Intell. Xiwei Yang, Zhixin Li, Xinfang Zhong, Canlong Zhang, Huifang Ma
2023	—	`conf`	Modeling Portraits of Students and Exercises for Exercise Recommendation. ICIC (4) Weiwei Gao, Huifang Ma, Yan Zhao, Jing Wang, Quanhong Tian
2023	J	`jnl`	Modeling graph-structured contexts for image captioning. Image Vis. Comput. Zhixin Li, Jiahui Wei, Feicheng Huang, Huifang Ma
2023	—	`conf`	Multi-scale Community Detection in Subspace of Attribute. DASFAA (3) Cairui Yan, Huifang Ma, Yuechen Tang, Xiaohong Li, Zhixin Li
2023	J	`jnl`	Polarized Communities Search via Co-guided Random Walk in Attributed Signed Networks. ACM Trans. Internet Techn. Fanyi Yang, Huifang Ma, Cairui Yan, Zhixin Li, Liang Chang
2023	J	`jnl`	Similarity measures-based graph co-contrastive learning for drug-disease association prediction. Bioinform. Zihao Gao, Huifang Ma, Xiaohui Zhang, Yike Wang, Zheyu Wu
2023	A	`conf`	Synergistic Disease Similarity Measurement via Unifying Hierarchical Relation Perception and Association Capturing. CIKM Zihao Gao, Huifang Ma, Yike Wang, Zhixin Li, Liang Chang
2023	J	`jnl`	Unifying knowledge iterative dissemination and relational reconstruction network for image-text matching. Inf. Process. Manag. Xiumin Xie, Zhixin Li, Zhenjun Tang, Dan Yao, Huifang Ma
2022	B	`conf`	A Knowledge Graph Recommendation Model via High-order Feature Interaction and Intent Decomposition. IJCNN Ruoyi Zhang, Huifang Ma, Qingfeng Li, Zhixin Li, Yike Wang
2022	J	`jnl`	Adaptive Path Selection for Dynamic Image Captioning. IEEE Trans. Circuits Syst. Video Technol. Tiantao Xian, Zhixin Li, Zhenjun Tang, Huifang Ma
2022	B	`conf`	An Effective Two-way Metapath Encoder over Heterogeneous Information Network for Recommendation. ICMR Yanbin Jiang, Huifang Ma, Xiaohui Zhang, Zhixin Li, Liang Chang
2022	—	`conf`	Co-contrastive Learning for Multi-behavior Recommendation. PRICAI (3) Qingfeng Li, Huifang Ma, Ruoyi Zhang, Wangyu Jin, Zhixin Li
2022	—	`conf`	Co-contrastive Self-supervised Learning for Drug-Disease Association Prediction. PRICAI (1) Zihao Gao, Huifang Ma, Xiaohui Zhang, Zheyu Wu, Zhixin Li
2022	J	`jnl`	Community detection with attributed random walk via seed replacement. Frontiers Comput. Sci. Yang Chang, Huifang Ma, Liang Chang, Zhixin Li
2022	J	`jnl`	Community search over heterogeneous information networks via weighting strategy and query replacement. Frontiers Comput. Sci. Fanyi Yang, Huifang Ma, Weiwei Gao, Zhixin Li
2022	—	`conf`	Cross-View Contrastive Learning for Knowledge-Aware Session-Based Recommendation. PRICAI (3) Xiaohui Zhang, Huifang Ma, Fanyi Yang, Zhixin Li, Liang Chang
2022	B	`conf`	Drug Side Effects Prediction via Heterogeneous Multi-Relational Graph Convolutional Networks. ICTAI Yike Wang, Huifang Ma, Ruoyi Zhang, Zihao Gao
2022	J	`jnl`	Dual Global Enhanced Transformer for image captioning. Neural Networks Tiantao Xian, Zhixin Li, Canlong Zhang, Huifang Ma
2022	A	`conf`	Dynamic Transformer for Image Captioning. ICME Tiantao Xian, Zhixin Li, Tianyu Chen, Huifang Ma
2022	—	`conf`	Enhancing Session-Based Recommendation with Global Context Information and Knowledge Graph. DASFAA (2) Xiaohui Zhang, Huifang Ma, Zihao Gao, Zhixin Li, Liang Chang
2022	J	`jnl`	Exploiting cross-session information for knowledge-aware session-based recommendation via graph attention networks. Int. J. Intell. Syst. Xiaohui Zhang, Huifang Ma, Zihao Gao, Zhixin Li, Liang Chang
2022	Misc	`conf`	Exploring Dual Stream Global Information For Image Captioning. ICASSP Tiantao Xian, Zhixin Li, Tianyu Chen, Huifang Ma
2022	J	`jnl`	Fine-grained bidirectional attentional generation and knowledge-assisted networks for cross-modal retrieval. Image Vis. Comput. Jianwei Zhu, Zhixin Li, Jiahui Wei, Yufei Zeng, Huifang Ma
2022	A	`conf`	Flexible Image Captioning via Internal Understanding and External Reasoning. SDM Jiahui Wei, Zhixin Li, Jianwei Zhu, Huifang Ma
2022	J	`jnl`	Hierarchical attention network for attributed community detection of joint representation. Neural Comput. Appl. Qiqi Zhao, Huifang Ma, Lijun Guo, Zhixin Li
2022	A*	`conf`	Image-Text Matching with Fine-Grained Relational Dependency and Bidirectional Attention-Based Generative Networks. ACM Multimedia Jianwei Zhu, Zhixin Li, Yufei Zeng, Jiahui Wei, Huifang Ma
2022	J	`jnl`	Improving image captioning with Pyramid Attention and SC-GAN. Image Vis. Comput. Tianyu Chen, Zhixin Li, Jingli Wu, Huifang Ma, Bianping Su
2022	A	`conf`	Local Spectral for Multiresolution Community Search in Attributed Graph. ICME Qingqing Li, Huifang Ma, Zhixin Li, Liang Chang
2022	J	`jnl`	Modelling risk and return awareness for p2p lending recommendation with graph convolutional networks. Appl. Intell. Yuhang Liu, Huifang Ma, Yanbin Jiang, Zhixin Li
2022	—	`conf`	Movie Recommender System Based On Heterogeneous Graph Neural Networks. ICSAI Khalil Ur Rahman, Huifang Ma, Ali Arshad, Azad Khan Baheer
2022	—	`conf`	Multi-behavior Recommendation with Two-Level Graph Attentional Networks. DASFAA (2) Yunhe Wei, Huifang Ma, Yike Wang, Zhixin Li, Liang Chang
2022	J	`jnl`	Multi-granularity semantic alignment distillation learning for remote sensing image semantic segmentation. Frontiers Comput. Sci. Di Zhang, Yong Zhou, Jiaqi Zhao, Zhongyuan Yang, Hui Dong, Rui Yao, Huifang Ma
2022	J	`jnl`	Multigranularity semantics based vulnerability search method for cross-platform binary. Int. J. Intell. Syst. Hao Liu, Huifang Ma, Yongchao Zhang
2022	J	`jnl`	Multiple instance relation graph reasoning for cross-modal hash retrieval. Knowl. Based Syst. Chuanwen Hou, Zhixin Li, Zhenjun Tang, Xiumin Xie, Huifang Ma
2022	J	`jnl`	PBGN: Phased Bidirectional Generation Network in Text-to-Image Synthesis. Neural Process. Lett. Jianwei Zhu, Zhixin Li, Jiahui Wei, Huifang Ma
2022	—	`conf`	PERM: Pre-training Question Embeddings via Relation Map for Improving Knowledge Tracing. DASFAA (3) Wentao Wang, Huifang Ma, Yan Zhao, Fanyi Yang, Liang Chang
2022	J	`jnl`	SEEP: Semantic-enhanced question embeddings pre-training for improving knowledge tracing. Inf. Sci. Wentao Wang, Huifang Ma, Yan Zhao, Fanyi Yang, Liang Chang
2022	J	`jnl`	Searching Target Communities with Outliers in attributed graph. Knowl. Based Syst. Qingqing Li, Huifang Ma, Ju Li, Zhixin Li, Yanbin Jiang
2022	—	`conf`	Short text classification method with dual channel hypergraph convolution networks. ICSAI Liu Jin, Zhaochun Sun, Huifang Ma
2022	J	`jnl`	Tracking knowledge proficiency of students with calibrated Q-matrix. Expert Syst. Appl. Wentao Wang, Huifang Ma, Yan Zhao, Zhixin Li, Xiangchun He
2021	J	`jnl`	A Semi-supervised Learning Approach Based on Adaptive Weighted Fusion for Automatic Image Annotation. ACM Trans. Multim. Comput. Commun. Appl. Zhixin Li, Lan Lin, Canlong Zhang, Huifang Ma, Weizhong Zhao, Zhi-Ping Shi
2021	J	`jnl`	A novel joint biomedical event extraction framework via two-level modeling of documents. Inf. Sci. Weizhong Zhao, Jinyong Zhang, Jincai Yang, Tingting He, Huifang Ma, Zhixin Li
2021	B	`conf`	A two-stage community search method based on seed replacement and joint random walk. IJCNN Ju Li, Huifang Ma, Qingqing Li, Zhixin Li, Liang Chang
2021	—	`conf`	Adversarial Training for Image Captioning Incorporating Relation Attention. PRICAI (1) Tianyu Chen, Zhixin Li, Canlong Zhang, Huifang Ma
2021	B	`conf`	Attentional Social Recommendation System with Graph Convolutional Network. IJCNN Yanbin Jiang, Huifang Ma, Yuhang Liu, Zhixin Li
2021	J	`jnl`	Discriminative Feature Network Based on a Hierarchical Attention Mechanism for Semantic Hippocampus Segmentation. IEEE J. Biomed. Health Informatics Jiali Shi, Rong Zhang, Lijun Guo, Linlin Gao, Huifang Ma, Jianhua Wang
2021	J	`jnl`	Enhancing social recommendation via two-level graph attentional networks. Neurocomputing Yanbin Jiang, Huifang Ma, Yuhang Liu, Zhixin Li, Liang Chang
2021	—	`conf`	Exploring Implicit Relationships in Social Network for Recommendation Systems. PAKDD (2) Yunhe Wei, Huifang Ma, Ruoyi Zhang, Zhixin Li, Liang Chang
2021	J	`jnl`	Hierarchical high-order co-clustering algorithm by maximizing modularity. Int. J. Mach. Learn. Cybern. Jiahui Wei, Huifang Ma, Yuhang Liu, Zhixin Li, Ning Li
2021	J	`jnl`	Improve relation extraction with dual attention-guided graph convolutional networks. Neural Comput. Appl. Zhixin Li, Yaru Sun, Jianwei Zhu, Suqin Tang, Canlong Zhang, Huifang Ma
2021	B	`conf`	Incorporating User Preference into Multi-community and Outliers Search. IJCNN Qingqing Li, Huifang Ma, Ju Li, Zhixin Li, Yanbing Jiang
2021	J	`jnl`	Integrating Scene Semantic Knowledge into Image Captioning. ACM Trans. Multim. Comput. Commun. Appl. Haiyang Wei, Zhixin Li, Feicheng Huang, Canlong Zhang, Huifang Ma, Zhongzhi Shi
2021	J	`jnl`	Is the simple assignment enough? Exploring the interpretability for community detection. Int. J. Mach. Learn. Cybern. Qiqi Zhao, Huifang Ma, Xiaohong Li, Zhixin Li
2021	J	`jnl`	Joint deep separable convolution network and border regression reinforcement for object detection. Neural Comput. Appl. Yu Quan, Zhixin Li, Shengjia Chen, Canlong Zhang, Huifang Ma
2021	J	`jnl`	Learning to recommend via random walk with profile of loan and lender in P2P lending. Expert Syst. Appl. Yuhang Liu, Huifang Ma, Yanbin Jiang, Zhixin Li
2021	J	`jnl`	Matching images and texts with multi-head attention network for cross-media hashing retrieval. Eng. Appl. Artif. Intell. Zhixin Li, Xiumin Xie, Feng Ling, Huifang Ma, Zhongzhi Shi
2021	J	`jnl`	Multi-affect(ed): improving recommendation with similarity-enhanced user reliability and influence propagation. Frontiers Comput. Sci. Lele Huang, Huifang Ma, Xiangchun He, Liang Chang
2021	C	`conf`	Relation Also Need Attention: Integrating Relation Information Into Image Captioning. ACML Tianyu Chen, Zhixin Li, Tiantao Xian, Canlong Zhang, Huifang Ma
2021	—	`conf`	Relevance-Aware Q-matrix Calibration for Knowledge Tracing. ICANN (3) Wentao Wang, Huifang Ma, Yan Zhao, Zhixin Li, Xiangchun He
2021	J	`jnl`	Stable self-attention adversarial learning for semi-supervised semantic image segmentation. J. Vis. Commun. Image Represent. Jia Zhang, Zhixin Li, Canlong Zhang, Huifang Ma
2021	B	`conf`	TT2INet: Text to Photo-realistic Image Synthesis with Transformer as Text Encoder. IJCNN Jianwei Zhu, Zhixin Li, Huifang Ma
2020	J	`jnl`	3D-SSD: Learning hierarchical features from RGB-D images for amodal 3D object detection. Neurocomputing Qianhui Luo, Huifang Ma, Li Tang, Yue Wang, Rong Xiong
2020	—	`conf`	A Salient Object Detection Algorithm Based on Region Merging and Clustering. IIP Weiyi Wei, Yijing Yang, Wanru Wang, Xiufeng Zhao, Huifang Ma
2020	B	`conf`	Adaptive Graph Convolutional Networks with Attention Mechanism for Relation Extraction. IJCNN Zhixin Li, Yara Sun, Suqin Tang, Canlong Zhang, Huifang Ma
2020	—	`conf`	An Overlapping Community Detection with Subspaces on Double-Views. ICONIP (2) Yang Chang, Huifang Ma, Yun Su, Zhixin Li
2020	—	`conf`	Analysis of the Stability and Solitary Waves for the Car-Following Model on Two Lanes. IIP Wen-Huan Ai, Tao Xing, Yuhang Su, Da-Wei Liu, Huifang Ma
2020	J	`jnl`	Boost Image Captioning with Knowledge Reasoning. CoRR Feicheng Huang, Zhixin Li, Haiyang Wei, Canlong Zhang, Huifang Ma
2020	J	`jnl`	Boost image captioning with knowledge reasoning. Mach. Learn. Feicheng Huang, Zhixin Li, Haiyang Wei, Canlong Zhang, Huifang Ma
2020	J	`jnl`	Classify multi-label images via improved CNN model with adversarial network. Multim. Tools Appl. Tao Zhou, Zhixin Li, Canlong Zhang, Huifang Ma
2020	J	`jnl`	Combining Global and Local Similarity for Cross-Media Retrieval. IEEE Access Zhixin Li, Feng Ling, Canlong Zhang, Huifang Ma
2020	B	`conf`	Cross-media Hash Retrieval Using Multi-head Attention Network. ICPR Zhixin Li, Feng Ling, Chuansheng Xu, Canlong Zhang, Huifang Ma
2020	J	`jnl`	DeepGoal: Learning to drive with driving intention from human control demonstration. Robotics Auton. Syst. Huifang Ma, Yue Wang, Rong Xiong, Sarath Kodagoda, Li Tang
2020	J	`jnl`	Dual dense context-aware network for hippocampal segmentation. Biomed. Signal Process. Control. Jiali Shi, Rong Zhang, Lijun Guo, Linlin Gao, Yuqi Li, Huifang Ma, Jianhua Wang
2020	—	`conf`	Exploring User Trust and Reliability for Recommendation: A Hypergraph Ranking Approach. ICONIP (2) Yanbin Jiang, Huifang Ma, Yuhang Liu, Zhixin Li
2020	A	`conf`	Image Captioning with Internal and External Knowledge. CIKM Feicheng Huang, Zhixin Li, Shengjia Chen, Canlong Zhang, Huifang Ma
2020	A*	`conf`	Improving Object Detection with Relation Mining Network. ICDM Shengjia Chen, Zhixin Li, Feicheng Huang, Canlong Zhang, Huifang Ma
2020	J	`jnl`	Improving social and behavior recommendations via network embedding. Inf. Sci. Weizhong Zhao, Huifang Ma, Zhixin Li, Xiang Ao, Ning Li
2020	B	`conf`	Leveraging Multisource Information in Matrix Factorization for Social Collaborative Filtering. IJCNN Lele Huang, Huifang Ma, Xiangchun He, Liang Chang
2020	—	`conf`	Multi-label Classification of Short Text Based on Similarity Graph and Restart Random Walk Model. IIP Xiaohong Li, Fanyi Yang, Yuyin Ma, Huifang Ma
2020	B	`conf`	NotMle: Community Detection in an Inference Way. ICTAI Qiqi Zhao, Huifang Ma, Xiaohong Li, Zhixin Li
2020	B	`conf`	Object Detection Model Based on Scene-Level Region Proposal Self-Attention. ICPR Yu Quan, Zhixin Li, Canlong Zhang, Huifang Ma
2020	B	`conf`	Object Detection Using Dual Graph Network. ICPR Shengjia Chen, Zhixin Li, Feicheng Huang, Canlong Zhang, Huifang Ma
2020	B	`conf`	Object Detection by Integrating Scene-Level Semantic Information and Border Regression Reinforcement. IJCNN Yu Quan, Zhixin Li, Canlong Zhang, Huifang Ma
2020	—	`conf`	Overlapping Community Detection Combining Topological Potential and Trust Value of Nodes. IIP Xiaohong Li, Weiying Kong, Weiyi Wei, Enli Fu, Huifang Ma
2020	—	`conf`	Phase Plane Analysis of Traffic Flow Evolution Based on a Macroscopic Traffic Flow Model. IIP Wen-Huan Ai, Tao Xing, Yuhang Su, Da-Wei Liu, Huifang Ma
2020	—	`conf`	Phase Plane Analysis of Traffic Phenomena with Different Input and Output Conditions. IIP Wen-Huan Ai, Yuhang Su, Tao Xing, Da-Wei Liu, Huifang Ma
2020	B	`conf`	Reinforcement Learning with Dual Attention Guided Graph Convolution for Relation Extraction. ICPR Zhixin Li, Yaru Sun, Suqin Tang, Canlong Zhang, Huifang Ma
2020	B	`conf`	Robust Adversarial Learning For Semi-Supervised Semantic Segmentation. ICIP Jia Zhang, Zhixin Li, Canlong Zhang, Huifang Ma
2020	B	`conf`	Robust Semi-Supervised Semantic Segmentation Based on Self-Attention and Spectral Normalization. IJCNN Jia Zhang, Zhixin Li, Canlong Zhang, Huifang Ma
2020	—	`conf`	Scientific Paper Recommendation Using Author's Dual Role Citation Relationship. IIP Donglin Hu, Huifang Ma, Yuhang Liu, Xiangchun He
2020	—	`conf`	Stochastic Blockmodels Meets Overlapping Community Detection. IIP Qiqi Zhao, Huifang Ma, Zhixin Li, Lijun Guo
2020	J	`jnl`	Text Summarization Method Based on Double Attention Pointer Network. IEEE Access Zhixin Li, Zhi Peng, Suqin Tang, Canlong Zhang, Huifang Ma
2020	J	`jnl`	The synergy of double attention: Combine sentence-level and word-level attention for image captioning. Comput. Vis. Image Underst. Haiyang Wei, Zhixin Li, Canlong Zhang, Huifang Ma
2020	—	`conf`	Top-N Recommendation in P2P Lending: A Hybrid Graph Ranking Using Investor Profile. ICONIP (2) Yuhang Liu, Huifang Ma, Yanbin Jiang, Zhixin Li
2019	J	`jnl`	A term correlation based semi-supervised microblog clustering with dual constraints. Int. J. Mach. Learn. Cybern. Huifang Ma, Di Zhang, Meihuizi Jia, Xianghong Lin
2019	B	`conf`	Automatic Image Annotation based on Co-Training. IJCNN Zhixin Li, Lan Lin, Canlong Zhang, Huifang Ma, Weizhong Zhao
2019	B	`conf`	Collaborating CNN and SVM for Automatic Image Annotation. ICMR Zhixin Li, Lan Lin, Canlong Zhang, Huifang Ma, Weizhong Zhao
2019	J	`jnl`	DeepGoal: Learning to Drive with driving intention from Human Control Demonstration. CoRR Huifang Ma, Yue Wang, Rong Xiong, Sarath Kodagoda, Li Tang
2019	—	`conf`	Effectively Classify Short Texts with Sparse Representation Using Entropy Weighted Constraint. KSEM (2) Ting Tuo, Huifang Ma, Zhixin Li, Xianghong Lin
2019	—	`conf`	Effectively Representing Short Text via the Improved Semantic Feature Space Mapping. PAKDD (Workshops) Ting Tuo, Huifang Ma, Haijiao Liu, Jiahui Wei
2019	—	`conf`	Enhancing Graph-Based Keywords Extraction with Node Association. KSEM (1) Huifang Ma, Shuang Wang, Miao Li, Ning Li
2019	J	`jnl`	HcRPC: Highly Compact Reachability Preserving Graph Compression With Corrections. IEEE Access Rui Bing, Huifang Ma, Xiangchun He, Zhixin Li, Lijun Guo
2019	—	`conf`	Leveraging User Preferences for Community Search via Attribute Subspace. KSEM (1) Haijiao Liu, Huifang Ma, Yang Chang, Zhixin Li, Wenjuan Wu
2019	J	`jnl`	Object Detection Model Based on Deep Dilated Convolutional Networks by Fusing Transfer Learning. IEEE Access Yu Quan, Zhixin Li, Canlong Zhang, Huifang Ma
2019	—	`conf`	SBRNE: An Improved Unified Framework for Social and Behavior Recommendations with Network Embedding. DASFAA (2) Weizhong Zhao, Huifang Ma, Zhixin Li, Xiang Ao, Ning Li
2019	B	`conf`	Sentence-Level Semantic Features Guided Adversarial Network for Zhuang Language Part-of-Speech Tagging. ICTAI Zhixin Li, Yaru Sun, Suqin Tang, Canlong Zhang, Huifang Ma
2019	—	`conf`	Short Text Similarity Measurement Based on Coupled Semantic Relation and Strong Classification Features. PAKDD (1) Huifang Ma, Wen Liu, Zhixin Li, Xianghong Lin
2019	J	`jnl`	Target Community Detection With User's Preference and Attribute Subspace. IEEE Access Haijiao Liu, Huifang Ma, Yang Chang, Zhixin Li, Wenjuan Wu
2019	J	`jnl`	Towards navigation without precise localization: Weakly supervised learning of goal-directed navigation cost map. CoRR Huifang Ma, Yue Wang, Li Tang, Sarath Kodagoda, Rong Xiong
2019	J	`jnl`	Weakly-Supervised Road Affordances Inference and Learning in Scenes without Traffic Signs. CoRR Huifang Ma, Yue Wang, Rong Xiong, Sarath Kodagoda, Qianhui Luo
2018	—	`conf`	A Neuronal Morphology Classification Approach Based on Deep Residual Neural Networks. ICONIP (4) Xianghong Lin, Jianyang Zheng, Xiangwen Wang, Huifang Ma
2018	—	`conf`	A Texture Synthesis Steganography Scheme Based on Super-Pixel Structure and SVM. IIP Weiyi Wei, Chengfeng A, Lizhao Wang, Huifang Ma
2018	—	`conf`	An Overlapping Microblog Community Detection Method Using New Partition Criterion. KSEM (2) Huifang Ma, Meng Xie, Jiahui Wei, Tingnian He
2018	J	`jnl`	An evolutionary developmental approach for generation of 3D neuronal morphologies using gene regulatory networks. Neurocomputing Xianghong Lin, Zhiqiang Li, Huifang Ma, Xiangwen Wang
2018	—	`conf`	From Time to Space: Automatic Annotation of Unmarked Traffic Scene Based on Trajectory Data. ROBIO Huifang Ma, Yue Wang, Rong Xiong
2018	—	`conf`	Learning from Titles to Recommend Keywords for Academic Papers. ICONIP (3) Huifang Ma, Fang Liu, Qin Xia, Li Yu
2018	A*	`conf`	Leveraging Hypergraph Random Walk Tag Expansion and User Social Relation for Microblog Recommendation. ICDM Huifang Ma, Di Zhang, Weizhong Zhao, Yanru Wang, Zhongzhi Shi
2018	—	`conf`	Microblog Hot Event Detection Based on Restart Random Walk and Modularity. IIP Xiaohong Li, JiHeng Gong, Yuyin Ma, Huifang Ma, Na Qin
2018	—	`conf`	Short Text Feature Extraction via Node Semantic Coupling and Graph Structures. IIP Huifang Ma, Xiaoqian Liu, Lan Ma, Yulin Hu
2018	J	`jnl`	Towards open-set semantic labeling in 3D point clouds : Analysis on the unknown class. Neurocomputing Huifang Ma, Rong Xiong, Yue Wang, Sarath Kodagoda, Lei Shi
2017	J	`jnl`	Combining tag correlation and user social relation for microblog recommendation. Inf. Sci. Huifang Ma, Meihuizi Jia, Di Zhang, Xianghong Lin
2017	C	`conf`	Leveraging Term Co-occurrence Distance and Strong Classification Features for Short Text Feature Selection. KSEM Huifang Ma, Yuying Xing, Shuang Wang, Miao Li
2017	J	`jnl`	Single Multi-feature detector for Amodal 3D Object Detection in RGB-D Images. CoRR Qianhui Luo, Huifang Ma, Yue Wang, Li Tang, Rong Xiong
2016	B	`conf`	A Microblog Hot Topic Detection Algorithm Based on Discrete Particle Swarm Optimization. PRICAI Huifang Ma, Yugang Ji, Xiaohong Li, Runan Zhou
2016	—	`conf`	A Tag Probability Correlation Based Microblog Recommendation Method. ICONIP (2) Di Zhang, Huifang Ma, Junjie Jia, Li Yu
2016	—	`conf`	An Improved Supervised Learning Algorithm Using Triplet-Based Spike-Timing-Dependent Plasticity. ICIC (3) Xianghong Lin, Guojun Chen, Xiangwen Wang, Huifang Ma
2016	—	`conf`	Combining Statistical Information and Semantic Similarity for Short Text Feature Extension. IIP Xiaohong Li, Yun Su, Huifang Ma, Lin Cao
2016	—	`conf`	Effectively Classifying Short Texts via Improved Lexical Category and Semantic Features. ICIC (1) Huifang Ma, Runan Zhou, Fang Liu, Xiaoyong Lu
2016	—	`conf`	Short Text Feature Extension Based on Improved Frequent Term Sets. IIP Huifang Ma, Lei Di, Xiantao Zeng, Li Yan, Yuyi Ma
2016	—	`conf`	Supervised Learning Algorithm for Spiking Neurons Based on Nonlinear Inner Products of Spike Trains. ICIC (2) Xiangwen Wang, Xianghong Lin, Jichang Zhao, Huifang Ma
2016	B	`conf`	Tag correlation and user social relation based microblog recommendation. IJCNN Huifang Ma, Meihuizi Jia, Xianghong Lin, Fuzhen Zhuang
2015	C	`conf`	A Microblog Recommendation Algorithm Based on Multi-tag Correlation. KSEM Huifang Ma, Meihuizi Jia, Meng Xie, Xianghong Lin
2015	C	`conf`	Semi-supervised Microblog Clustering Method via Dual Constraints. KSEM Huifang Ma, Meihuizi Jia, Weizhong Zhao, Xianghong Lin
2014	—	`conf`	An Efficient Microblog Hot Topic Detection Algorithm Based on Two Stage Clustering. IIP Yuexin Sun, Huifang Ma, Meihuizi Jia, Peiqing Wang
2014	—	`conf`	Chinese Textual Entailment Recognition Based on Syntactic Tree Clipping. CCL Zhichang Zhang, Dongren Yao, Songyi Chen, Huifang Ma
2014	Misc	`conf`	Microblog hot topic detection based on topic model using term correlation matrix. ICMLC Huifang Ma, Yue-Xin Sun, Mei-Hui-Zi Jia, Zhichang Zhang
2014	C	`conf`	Semi-supervised Nonnegative Matrix Factorization for Microblog Clustering Based on Term Correlation. APWeb Huifang Ma, Meihuizi Jia, YaKai Shi, Zhanjun Hao
2013	J	`jnl`	A nonnegative matrix factorization framework for semi-supervised document clustering with dual constraints. Knowl. Inf. Syst. Huifang Ma, Weizhong Zhao, Zhongzhi Shi
2013	Misc	`conf`	Supervised-LDA: A probabilistic topic model for collaborative filtering. ICMLC Weizhong Zhao, Huifang Ma, Zmxin Li, Ning Li
2012	C	`conf`	A Novel Online Event Analysis Framework for Micro-blog Based on Incremental Topic Modeling. SNPD Huifang Ma, Bo Wang, Ning Li
2012	J	`jnl`	Effective semi-supervised document clustering via active learning with instance-level constraints. Knowl. Inf. Syst. Weizhong Zhao, Qing He, Huifang Ma, Zhongzhi Shi
2011	Misc	`conf`	A new non-negative matrix factorization algorithm with sparseness constraints. ICMLC Weizhong Zhao, Huifang Ma, Ning Li
2011	Misc	`conf`	Hot topic extraction using time window. ICMLC Huifang Ma
2011	—	`conf`	The improved non-negative Matrix Factorization algorithm for document clustering. FSKD Weizhong Zhao, Huifang Ma, Qing He, Zhongzhi Shi
2010	C	`conf`	Combining the Missing Link: An Incremental Topic Model of Document Content and Hyperlink. APWeb Huifang Ma, Zhixin Li, Zhongzhi Shi
2010	—	`conf`	Combining the Missing Link: An Incremental Topic Model of Document Content and Hyperlink. IIP Huifang Ma, Zhixin Li, Zhongzhi Shi
2010	—	`conf`	Orthogonal Nonnegative Matrix Tri-factorization for Semi-supervised Document Co-clustering. PAKDD (2) Huifang Ma, Weizhong Zhao, Qing Tan, Zhongzhi Shi
2009	—	`conf`	A Probabilistic Model for Automatic Image Annotation and Retrieval. CIT (1) Zhixin Li, Huifang Ma, Zhiping Shi, Zhongzhi Shi
2009	—	`conf`	Active Learning of Instance-Level Constraints for Semi-supervised Document Clustering. Web Intelligence Weizhong Zhao, Qing He, Huifang Ma, Zhongzhi Shi
2009	—	`conf`	IPHITS: An Incremental Latent Topic Model for Link Structure. AIRS Huifang Ma, Weizhong Zhao, Zhixin Li, Zhongzhi Shi
2009	C	`conf`	Parallel CloudCom Weizhong Zhao, Huifang Ma, Qing He
2008	—	`conf`	Geodesic distance based multi-document summarization. NLPKE Huifang Ma, Qing He, Zhongzhi Shi