<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Article-Journal | 刘均 | 西安交通大学</title><link>https://liujun-xjtu.github.io/zh/publication_types/article-journal/</link><atom:link href="https://liujun-xjtu.github.io/zh/publication_types/article-journal/index.xml" rel="self" type="application/rss+xml"/><description>Article-Journal</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>zh-Hans</language><lastBuildDate>Thu, 01 Jan 2026 00:00:00 +0000</lastBuildDate><image><url>https://liujun-xjtu.github.io/media/icon_hu_1c0e9cb08cfb822a.png</url><title>Article-Journal</title><link>https://liujun-xjtu.github.io/zh/publication_types/article-journal/</link></image><item><title>Explainable Visual Question Answering: A Survey on Methods, Datasets and Evaluation</title><link>https://liujun-xjtu.github.io/zh/publication/explainable-visual-question-answering-a-survey-on-methods-datasets-and-evaluation/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/explainable-visual-question-answering-a-survey-on-methods-datasets-and-evaluation/</guid><description/></item><item><title>GKG-LLM: A unified framework for generalized knowledge graph construction</title><link>https://liujun-xjtu.github.io/zh/publication/gkg-llm-a-unified-framework-for-generalized-knowledge-graph-construction/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/gkg-llm-a-unified-framework-for-generalized-knowledge-graph-construction/</guid><description/></item><item><title>Memory-Enriched Thought-by-Thought Framework for Complex Diagram Question Answering</title><link>https://liujun-xjtu.github.io/zh/publication/memory-enriched-thought-by-thought-framework-for-complex-diagram-question-answering/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/memory-enriched-thought-by-thought-framework-for-complex-diagram-question-answering/</guid><description/></item><item><title>Reasoning step by step via a neural-symbolic geometry problem solver</title><link>https://liujun-xjtu.github.io/zh/publication/reasoning-step-by-step-via-a-neural-symbolic-geometry-problem-solver/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/reasoning-step-by-step-via-a-neural-symbolic-geometry-problem-solver/</guid><description/></item><item><title>Spiking Neural P Systems Incorporating Winner-take-all Mechanism</title><link>https://liujun-xjtu.github.io/zh/publication/spiking-neural-p-systems-incorporating-winner-take-all-mechanism/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/spiking-neural-p-systems-incorporating-winner-take-all-mechanism/</guid><description/></item><item><title>Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement</title><link>https://liujun-xjtu.github.io/zh/publication/towards-efficient-and-robust-linguistic-emotion-diagnosis-for-mental-health-via-multi-agent-instruct/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/towards-efficient-and-robust-linguistic-emotion-diagnosis-for-mental-health-via-multi-agent-instruct/</guid><description/></item><item><title>A Unified Optimal Transport Framework for Cross-Modal Retrieval with Noisy Labels</title><link>https://liujun-xjtu.github.io/zh/publication/a-unified-optimal-transport-framework-for-cross-modal-retrieval-with-noisy-labels/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/a-unified-optimal-transport-framework-for-cross-modal-retrieval-with-noisy-labels/</guid><description/></item><item><title>Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond</title><link>https://liujun-xjtu.github.io/zh/publication/are-large-language-models-really-good-logical-reasoners-a-comprehensive-evaluation-and-beyond/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/are-large-language-models-really-good-logical-reasoners-a-comprehensive-evaluation-and-beyond/</guid><description/></item><item><title>B2BGAN: A Backbone-to-Branches GAN-based Oversampling Approach for Class-Imbalanced Tabular Data</title><link>https://liujun-xjtu.github.io/zh/publication/b2bgan-a-backbone-to-branches-gan-based-oversampling-approach-for-class-imbalanced-tabular-data/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/b2bgan-a-backbone-to-branches-gan-based-oversampling-approach-for-class-imbalanced-tabular-data/</guid><description/></item><item><title>GeoTree: A Dynamic Tree-based Geometry Problem Solver through LLM-Symbolic Reasoning</title><link>https://liujun-xjtu.github.io/zh/publication/geotree-a-dynamic-tree-based-geometry-problem-solver-through-llm-symbolic-reasoning/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/geotree-a-dynamic-tree-based-geometry-problem-solver-through-llm-symbolic-reasoning/</guid><description/></item><item><title>Hierarchy-Based Diagram-Sentence Matching on Dual-Modal Graphs</title><link>https://liujun-xjtu.github.io/zh/publication/hierarchy-based-diagram-sentence-matching-on-dual-modal-graphs/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/hierarchy-based-diagram-sentence-matching-on-dual-modal-graphs/</guid><description/></item><item><title>LFSRM: Few-Shot Diagram-Sentence Matching via Local-Feedback Self-Regulating Memory</title><link>https://liujun-xjtu.github.io/zh/publication/lfsrm-few-shot-diagram-sentence-matching-via-local-feedback-self-regulating-memory/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/lfsrm-few-shot-diagram-sentence-matching-via-local-feedback-self-regulating-memory/</guid><description/></item><item><title>Machine Memory Intelligence: Inspired by Human Memory Mechanisms</title><link>https://liujun-xjtu.github.io/zh/publication/machine-memory-intelligence-inspired-by-human-memory-mechanisms/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/machine-memory-intelligence-inspired-by-human-memory-mechanisms/</guid><description/></item><item><title>When Multi-focus Image Fusion Meets Nonlinear Spiking Neural P Systems</title><link>https://liujun-xjtu.github.io/zh/publication/when-multi-focus-image-fusion-meets-nonlinear-spiking-neural-p-systems/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/when-multi-focus-image-fusion-meets-nonlinear-spiking-neural-p-systems/</guid><description/></item><item><title>Alignment Relation is What You Need for Diagram Parsing</title><link>https://liujun-xjtu.github.io/zh/publication/alignment-relation-is-what-you-need-for-diagram-parsing/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/alignment-relation-is-what-you-need-for-diagram-parsing/</guid><description/></item><item><title>Context-Aware Commonsense Knowledge Graph Reasoning with Path-Guided Explanations</title><link>https://liujun-xjtu.github.io/zh/publication/context-aware-commonsense-knowledge-graph-reasoning-with-path-guided-explanations/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/context-aware-commonsense-knowledge-graph-reasoning-with-path-guided-explanations/</guid><description/></item><item><title>FPrompt-PLM: Flexible-Prompt on Pretrained Language Model for Continual Few-Shot Relation Extraction</title><link>https://liujun-xjtu.github.io/zh/publication/fprompt-plm-flexible-prompt-on-pretrained-language-model-for-continual-few-shot-relation-extraction/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/fprompt-plm-flexible-prompt-on-pretrained-language-model-for-continual-few-shot-relation-extraction/</guid><description/></item><item><title>Interest-Driven Community Detection on Attributed Heterogeneous Information Networks</title><link>https://liujun-xjtu.github.io/zh/publication/interest-driven-community-detection-on-attributed-heterogeneous-information-networks/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/interest-driven-community-detection-on-attributed-heterogeneous-information-networks/</guid><description/></item><item><title>Knowledge Graph Representation Learning with Relation-guided Aggregation and Interaction</title><link>https://liujun-xjtu.github.io/zh/publication/knowledge-graph-representation-learning-with-relation-guided-aggregation-and-interaction/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/knowledge-graph-representation-learning-with-relation-guided-aggregation-and-interaction/</guid><description/></item><item><title>Learnable Convolutional Attention Network for Knowledge Graph Completion</title><link>https://liujun-xjtu.github.io/zh/publication/learnable-convolutional-attention-network-for-knowledge-graph-completion/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/learnable-convolutional-attention-network-for-knowledge-graph-completion/</guid><description/></item><item><title>Learning Path Recommendation with Multi-behavior User Modeling and Cascading Deep Q Networks</title><link>https://liujun-xjtu.github.io/zh/publication/learning-path-recommendation-with-multi-behavior-user-modeling-and-cascading-deep-q-networks/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/learning-path-recommendation-with-multi-behavior-user-modeling-and-cascading-deep-q-networks/</guid><description/></item><item><title>Multi-View Cognition with Path Search for One-Shot Part Labeling</title><link>https://liujun-xjtu.github.io/zh/publication/multi-view-cognition-with-path-search-for-one-shot-part-labeling/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/multi-view-cognition-with-path-search-for-one-shot-part-labeling/</guid><description/></item><item><title>Robust Visual Question Answering: Datasets, Methods, and Future Challenges</title><link>https://liujun-xjtu.github.io/zh/publication/robust-visual-question-answering-datasets-methods-and-future-challenges/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/robust-visual-question-answering-datasets-methods-and-future-challenges/</guid><description/></item><item><title>RTRL: Relation-aware Transformer with Reinforcement Learning for Deep Question Generation</title><link>https://liujun-xjtu.github.io/zh/publication/rtrl-relation-aware-transformer-with-reinforcement-learning-for-deep-question-generation/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/rtrl-relation-aware-transformer-with-reinforcement-learning-for-deep-question-generation/</guid><description/></item><item><title>TDGI: Translation-Guided Double-Graph Inference for Document-Level Relation Extraction</title><link>https://liujun-xjtu.github.io/zh/publication/tdgi-translation-guided-double-graph-inference-for-document-level-relation-extraction/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/tdgi-translation-guided-double-graph-inference-for-document-level-relation-extraction/</guid><description/></item><item><title>Diagram Perception Networks for Textbook Question Answering via Joint Optimization</title><link>https://liujun-xjtu.github.io/zh/publication/diagram-perception-networks-for-textbook-question-answering-via-joint-optimization/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/diagram-perception-networks-for-textbook-question-answering-via-joint-optimization/</guid><description/></item><item><title>DisAVR: Disentangled Adaptive Visual Reasoning Network for Diagram Question Answering</title><link>https://liujun-xjtu.github.io/zh/publication/disavr-disentangled-adaptive-visual-reasoning-network-for-diagram-question-answering/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/disavr-disentangled-adaptive-visual-reasoning-network-for-diagram-question-answering/</guid><description/></item><item><title>Dynamic Dual Graph Networks for Textbook Question Answering</title><link>https://liujun-xjtu.github.io/zh/publication/dynamic-dual-graph-networks-for-textbook-question-answering/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/dynamic-dual-graph-networks-for-textbook-question-answering/</guid><description/></item><item><title>Incorporating Logic Rules with Textual Representations for Interpretable Knowledge Graph Reasoning</title><link>https://liujun-xjtu.github.io/zh/publication/incorporating-logic-rules-with-textual-representations-for-interpretable-knowledge-graph-reasoning/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/incorporating-logic-rules-with-textual-representations-for-interpretable-knowledge-graph-reasoning/</guid><description/></item><item><title>Mind Reasoning Manners: Enhancing Type Perception for Generalized Zero-shot Logical Reasoning over Text</title><link>https://liujun-xjtu.github.io/zh/publication/mind-reasoning-manners-enhancing-type-perception-for-generalized-zero-shot-logical-reasoning-over-te/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/mind-reasoning-manners-enhancing-type-perception-for-generalized-zero-shot-logical-reasoning-over-te/</guid><description/></item><item><title>MoCA: Incorporating Domain Pretraining and Cross Attention for Textbook Question Answering</title><link>https://liujun-xjtu.github.io/zh/publication/moca-incorporating-domain-pretraining-and-cross-attention-for-textbook-question-answering/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/moca-incorporating-domain-pretraining-and-cross-attention-for-textbook-question-answering/</guid><description/></item><item><title>RPMG-FSS: Robust Prior Mask Guided Few-Shot Semantic Segmentation</title><link>https://liujun-xjtu.github.io/zh/publication/rpmg-fss-robust-prior-mask-guided-few-shot-semantic-segmentation/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/rpmg-fss-robust-prior-mask-guided-few-shot-semantic-segmentation/</guid><description/></item><item><title>SocialSift: Target Query Discovery on Online Social Media With Deep Reinforcement Learning</title><link>https://liujun-xjtu.github.io/zh/publication/socialsift-target-query-discovery-on-online-social-media-with-deep-reinforcement-learning/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/socialsift-target-query-discovery-on-online-social-media-with-deep-reinforcement-learning/</guid><description/></item><item><title>XTQA: Span-Level Explanations for Textbook Question Answering</title><link>https://liujun-xjtu.github.io/zh/publication/xtqa-span-level-explanations-for-textbook-question-answering/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/xtqa-span-level-explanations-for-textbook-question-answering/</guid><description/></item><item><title>Answering Knowledge-based Visual Questions via the Exploration of Question Purpose</title><link>https://liujun-xjtu.github.io/zh/publication/answering-knowledge-based-visual-questions-via-the-exploration-of-question-purpose/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/answering-knowledge-based-visual-questions-via-the-exploration-of-question-purpose/</guid><description/></item><item><title>Du-Bus: A Realtime Bus Waiting Time Estimation System Based On Multi-source Data</title><link>https://liujun-xjtu.github.io/zh/publication/du-bus-a-realtime-bus-waiting-time-estimation-system-based-on-multi-source-data/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/du-bus-a-realtime-bus-waiting-time-estimation-system-based-on-multi-source-data/</guid><description/></item><item><title>Fusing Topology Contexts and Logical Rules in Language Models for KG Completion</title><link>https://liujun-xjtu.github.io/zh/publication/fusing-topology-contexts-and-logical-rules-in-language-models-for-kg-completion/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/fusing-topology-contexts-and-logical-rules-in-language-models-for-kg-completion/</guid><description/></item><item><title>Generating Relevant and Informative Questions for Open-domain Conversations</title><link>https://liujun-xjtu.github.io/zh/publication/generating-relevant-and-informative-questions-for-open-domain-conversations/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/generating-relevant-and-informative-questions-for-open-domain-conversations/</guid><description/></item><item><title>MuL-GRN: Multi-Level Graph Relation Network for Few-Shot Node Classification</title><link>https://liujun-xjtu.github.io/zh/publication/mul-grn-multi-level-graph-relation-network-for-few-shot-node-classification/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/mul-grn-multi-level-graph-relation-network-for-few-shot-node-classification/</guid><description/></item><item><title>Multistructure Contrastive Learning for Event Representation</title><link>https://liujun-xjtu.github.io/zh/publication/multistructure-contrastive-learning-for-event-representation/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/multistructure-contrastive-learning-for-event-representation/</guid><description/></item><item><title>Spatial-Semantic Collaborative Graph Network for Textbook Question Answering</title><link>https://liujun-xjtu.github.io/zh/publication/spatial-semantic-collaborative-graph-network-for-textbook-question-answering/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/spatial-semantic-collaborative-graph-network-for-textbook-question-answering/</guid><description/></item><item><title>TGIN: Translation-Based Graph Inference Network for Few-Shot Relational Triplet Extraction</title><link>https://liujun-xjtu.github.io/zh/publication/tgin-translation-based-graph-inference-network-for-few-shot-relational-triplet-extraction/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/tgin-translation-based-graph-inference-network-for-few-shot-relational-triplet-extraction/</guid><description/></item><item><title>TN-ZSTAD: Transferable Network for Zero-Shot Temporal Activity Detection</title><link>https://liujun-xjtu.github.io/zh/publication/tn-zstad-transferable-network-for-zero-shot-temporal-activity-detection/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/tn-zstad-transferable-network-for-zero-shot-temporal-activity-detection/</guid><description/></item><item><title>Weakly Supervised Learning for Textbook Question Answering</title><link>https://liujun-xjtu.github.io/zh/publication/weakly-supervised-learning-for-textbook-question-answering/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/weakly-supervised-learning-for-textbook-question-answering/</guid><description/></item><item><title>Auto-FSL: Searching the Attribute Consistent Network for Few-Shot Learning</title><link>https://liujun-xjtu.github.io/zh/publication/auto-fsl-searching-the-attribute-consistent-network-for-few-shot-learning/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/auto-fsl-searching-the-attribute-consistent-network-for-few-shot-learning/</guid><description/></item><item><title>Contrastive Graph Representations for Logical Formulas Embedding</title><link>https://liujun-xjtu.github.io/zh/publication/contrastive-graph-representations-for-logical-formulas-embedding/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/contrastive-graph-representations-for-logical-formulas-embedding/</guid><description/></item><item><title>Fs-DSM: Few-Shot Diagram-Sentence Matching via Cross-Modal Attention Graph Model</title><link>https://liujun-xjtu.github.io/zh/publication/fs-dsm-few-shot-diagram-sentence-matching-via-cross-modal-attention-graph-model/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/fs-dsm-few-shot-diagram-sentence-matching-via-cross-modal-attention-graph-model/</guid><description/></item><item><title>Keep and Select: Improving Hierarchical Context Modeling for Multi-turn Response Generation</title><link>https://liujun-xjtu.github.io/zh/publication/keep-and-select-improving-hierarchical-context-modeling-for-multi-turn-response-generation/</link><pubDate>Fri, 01 Jan 2021 00:00:00 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+0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/relation-aware-fine-grained-reasoning-network-for-textbook-question-answering/</guid><description/></item><item><title>Rule-Enhanced Iterative Complementation for Knowledge Graph Reasoning</title><link>https://liujun-xjtu.github.io/zh/publication/rule-enhanced-iterative-complementation-for-knowledge-graph-reasoning/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/rule-enhanced-iterative-complementation-for-knowledge-graph-reasoning/</guid><description/></item><item><title>知识森林：理论、方法与实践</title><link>https://liujun-xjtu.github.io/zh/publication/%E7%9F%A5%E8%AF%86%E6%A3%AE%E6%9E%97%E7%90%86%E8%AE%BA%E6%96%B9%E6%B3%95%E4%B8%8E%E5%AE%9E%E8%B7%B5/</link><pubDate>Fri, 01 Jan 2021 00:00:00 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2018 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/android-malware-familial-classification-via-frequent-subgraph-analysis/</guid><description/></item><item><title>Facet Annotation by Extending CNN with a Matching Strategy</title><link>https://liujun-xjtu.github.io/zh/publication/facet-annotation-by-extending-cnn-with-a-matching-strategy/</link><pubDate>Mon, 01 Jan 2018 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/publication/facet-annotation-by-extending-cnn-with-a-matching-strategy/</guid><description/></item><item><title>DAPASA: Detecting Android Piggybacked Apps through Sensitive Subgraph Analysis</title><link>https://liujun-xjtu.github.io/zh/publication/dapasa-detecting-android-piggybacked-apps-through-sensitive-subgraph-analysis/</link><pubDate>Sun, 01 Jan 2017 00:00:00 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