<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>J. Liu | Jun Liu | XJTU</title><link>https://liujun-xjtu.github.io/en/authors/j.-liu/</link><atom:link href="https://liujun-xjtu.github.io/en/authors/j.-liu/index.xml" rel="self" type="application/rss+xml"/><description>J. Liu</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 01 Jan 2026 00:00:00 +0000</lastBuildDate><item><title>AGT^AO: Robust and Stabilized LLM Unlearning via Adversarial Gating Training with Adaptive Orthogonality</title><link>https://liujun-xjtu.github.io/en/publication/agtao-robust-and-stabilized-llm-unlearning-via-adversarial-gating-training-with-adaptive-orthogonali/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/agtao-robust-and-stabilized-llm-unlearning-via-adversarial-gating-training-with-adaptive-orthogonali/</guid><description/></item><item><title>Beyond Layer-Wise Merging: Chain-of-Merging for Vision-Language Models</title><link>https://liujun-xjtu.github.io/en/publication/beyond-layer-wise-merging-chain-of-merging-for-vision-language-models/</link><pubDate>Thu, 01 Jan 2026 00:00:00 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+0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/locomo-plus-beyond-factual-cognitive-memory-evaluation-framework-for-llm-agents/</guid><description/></item><item><title>MAPS: Multi-Agent Personality Shaping for Collaborative Reasoning</title><link>https://liujun-xjtu.github.io/en/publication/maps-multi-agent-personality-shaping-for-collaborative-reasoning/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/maps-multi-agent-personality-shaping-for-collaborative-reasoning/</guid><description/></item><item><title>MARS: Multi-Agent Adaptive Reasoning with Socratic Guidance for Automated Prompt Optimization</title><link>https://liujun-xjtu.github.io/en/publication/mars-multi-agent-adaptive-reasoning-with-socratic-guidance-for-automated-prompt-optimization/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/mars-multi-agent-adaptive-reasoning-with-socratic-guidance-for-automated-prompt-optimization/</guid><description/></item><item><title>MAXS: Meta-Adaptive Exploration with LLM Agents</title><link>https://liujun-xjtu.github.io/en/publication/maxs-meta-adaptive-exploration-with-llm-agents/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/maxs-meta-adaptive-exploration-with-llm-agents/</guid><description/></item><item><title>Memory-Enriched Thought-by-Thought Framework for Complex Diagram Question Answering</title><link>https://liujun-xjtu.github.io/en/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/en/publication/memory-enriched-thought-by-thought-framework-for-complex-diagram-question-answering/</guid><description/></item><item><title>MUR: Momentum Uncertainty guided Reasoning for Large Language Models</title><link>https://liujun-xjtu.github.io/en/publication/mur-momentum-uncertainty-guided-reasoning-for-large-language-models/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/mur-momentum-uncertainty-guided-reasoning-for-large-language-models/</guid><description/></item><item><title>Neurodynamics-Driven Coupled Neural P Systems for Multi-Focus Image Fusion</title><link>https://liujun-xjtu.github.io/en/publication/neurodynamics-driven-coupled-neural-p-systems-for-multi-focus-image-fusion/</link><pubDate>Thu, 01 Jan 2026 00:00:00 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Solution Exploration</title><link>https://liujun-xjtu.github.io/en/publication/causal-r-a-causal-reasoning-geometry-problem-solver-for-optimized-solution-exploration/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/causal-r-a-causal-reasoning-geometry-problem-solver-for-optimized-solution-exploration/</guid><description/></item><item><title>ChartSketcher: Reasoning with Multimodal Feedback and Reflection for Chart Understanding</title><link>https://liujun-xjtu.github.io/en/publication/chartsketcher-reasoning-with-multimodal-feedback-and-reflection-for-chart-understanding/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/chartsketcher-reasoning-with-multimodal-feedback-and-reflection-for-chart-understanding/</guid><description/></item><item><title>CoFFT: Chain of Foresight-Focus Thought for Visual Language Models</title><link>https://liujun-xjtu.github.io/en/publication/cofft-chain-of-foresight-focus-thought-for-visual-language-models/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/cofft-chain-of-foresight-focus-thought-for-visual-language-models/</guid><description/></item><item><title>Cognitive Predictive Coding Network: Rethinking the Generalization in Raven Progressive Matrices</title><link>https://liujun-xjtu.github.io/en/publication/cognitive-predictive-coding-network-rethinking-the-generalization-in-raven-progressive-matrices/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/cognitive-predictive-coding-network-rethinking-the-generalization-in-raven-progressive-matrices/</guid><description/></item><item><title>Debate on Graph: a Flexible and Reliable Reasoning Framework for Large Language Models</title><link>https://liujun-xjtu.github.io/en/publication/debate-on-graph-a-flexible-and-reliable-reasoning-framework-for-large-language-models/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/debate-on-graph-a-flexible-and-reliable-reasoning-framework-for-large-language-models/</guid><description/></item><item><title>Decoding: Adaptive Foresight Sampling for Balanced Inference-Time Exploration and Exploitation</title><link>https://liujun-xjtu.github.io/en/publication/decoding-adaptive-foresight-sampling-for-balanced-inference-time-exploration-and-exploitation/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/decoding-adaptive-foresight-sampling-for-balanced-inference-time-exploration-and-exploitation/</guid><description/></item><item><title>Deliberation on Priors: Trustworthy Reasoning of LLMs on Knowledge Graphs</title><link>https://liujun-xjtu.github.io/en/publication/deliberation-on-priors-trustworthy-reasoning-of-llms-on-knowledge-graphs/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/deliberation-on-priors-trustworthy-reasoning-of-llms-on-knowledge-graphs/</guid><description/></item><item><title>Diagram-driven course questions generation</title><link>https://liujun-xjtu.github.io/en/publication/diagram-driven-course-questions-generation/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/diagram-driven-course-questions-generation/</guid><description/></item><item><title>EvoChart: A Benchmark and a Self-Training Approach Towards Real-World Chart Understanding</title><link>https://liujun-xjtu.github.io/en/publication/evochart-a-benchmark-and-a-self-training-approach-towards-real-world-chart-understanding/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/evochart-a-benchmark-and-a-self-training-approach-towards-real-world-chart-understanding/</guid><description/></item><item><title>Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced Reasoning</title><link>https://liujun-xjtu.github.io/en/publication/genius-a-generalizable-and-purely-unsupervised-self-training-framework-for-advanced-reasoning/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/genius-a-generalizable-and-purely-unsupervised-self-training-framework-for-advanced-reasoning/</guid><description/></item><item><title>GeoTree: A Dynamic Tree-based Geometry Problem Solver through LLM-Symbolic Reasoning</title><link>https://liujun-xjtu.github.io/en/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/en/publication/geotree-a-dynamic-tree-based-geometry-problem-solver-through-llm-symbolic-reasoning/</guid><description/></item><item><title>GlFoMR: A Glance-then-Focus Multimodal Reasoning Framework for Diagram Question Answering</title><link>https://liujun-xjtu.github.io/en/publication/glfomr-a-glance-then-focus-multimodal-reasoning-framework-for-diagram-question-answering/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/glfomr-a-glance-then-focus-multimodal-reasoning-framework-for-diagram-question-answering/</guid><description/></item><item><title>Hierarchy-Based Diagram-Sentence Matching on Dual-Modal Graphs</title><link>https://liujun-xjtu.github.io/en/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/en/publication/hierarchy-based-diagram-sentence-matching-on-dual-modal-graphs/</guid><description/></item><item><title>Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models</title><link>https://liujun-xjtu.github.io/en/publication/interactive-evolution-a-neural-symbolic-self-training-framework-for-large-language-models/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/interactive-evolution-a-neural-symbolic-self-training-framework-for-large-language-models/</guid><description/></item><item><title>LFSRM: Few-Shot Diagram-Sentence Matching via Local-Feedback Self-Regulating Memory</title><link>https://liujun-xjtu.github.io/en/publication/lfsrm-few-shot-diagram-sentence-matching-via-local-feedback-self-regulating-memory/</link><pubDate>Wed, 01 Jan 2025 00:00:00 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+0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/machine-memory-intelligence-inspired-by-human-memory-mechanisms/</guid><description/></item><item><title>Metapath and Hypergraph Structure-based Multi-Channel Graph Contrastive Learning for Student Performance Prediction</title><link>https://liujun-xjtu.github.io/en/publication/metapath-and-hypergraph-structure-based-multi-channel-graph-contrastive-learning-for-student-perform/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/metapath-and-hypergraph-structure-based-multi-channel-graph-contrastive-learning-for-student-perform/</guid><description/></item><item><title>PhysReason: A Comprehensive Benchmark towards Physics-Based Reasoning</title><link>https://liujun-xjtu.github.io/en/publication/physreason-a-comprehensive-benchmark-towards-physics-based-reasoning/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/physreason-a-comprehensive-benchmark-towards-physics-based-reasoning/</guid><description/></item><item><title>ResoFilter: Fine-grained Synthetic Data Filtering for LLMs through Data-Parameter Resonance Analysis</title><link>https://liujun-xjtu.github.io/en/publication/resofilter-fine-grained-synthetic-data-filtering-for-llms-through-data-parameter-resonance-analysis/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/resofilter-fine-grained-synthetic-data-filtering-for-llms-through-data-parameter-resonance-analysis/</guid><description/></item><item><title>Rethinking Continual Knowledge Graph Embedding: Benchmarks and Analysis</title><link>https://liujun-xjtu.github.io/en/publication/rethinking-continual-knowledge-graph-embedding-benchmarks-and-analysis/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/rethinking-continual-knowledge-graph-embedding-benchmarks-and-analysis/</guid><description/></item><item><title>SAGE: Scale-Aware Gradual Evolution for Continual Knowledge Graph Embedding</title><link>https://liujun-xjtu.github.io/en/publication/sage-scale-aware-gradual-evolution-for-continual-knowledge-graph-embedding/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/sage-scale-aware-gradual-evolution-for-continual-knowledge-graph-embedding/</guid><description/></item><item><title>VProChart: Answering Chart Question through Visual Perception Alignment Agent and Programmatic Solution Reasoning</title><link>https://liujun-xjtu.github.io/en/publication/vprochart-answering-chart-question-through-visual-perception-alignment-agent-and-programmatic-soluti/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/vprochart-answering-chart-question-through-visual-perception-alignment-agent-and-programmatic-soluti/</guid><description/></item><item><title>When Multi-focus Image Fusion Meets Nonlinear Spiking Neural P Systems</title><link>https://liujun-xjtu.github.io/en/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/en/publication/when-multi-focus-image-fusion-meets-nonlinear-spiking-neural-p-systems/</guid><description/></item><item><title>A Semantic Mention Graph Augmented Model for Document-Level Event Argument Extraction</title><link>https://liujun-xjtu.github.io/en/publication/a-semantic-mention-graph-augmented-model-for-document-level-event-argument-extraction/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/a-semantic-mention-graph-augmented-model-for-document-level-event-argument-extraction/</guid><description/></item><item><title>A Symbolic Rule Integration Framework with Logic Transformer for Inductive Relation Prediction</title><link>https://liujun-xjtu.github.io/en/publication/a-symbolic-rule-integration-framework-with-logic-transformer-for-inductive-relation-prediction/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/a-symbolic-rule-integration-framework-with-logic-transformer-for-inductive-relation-prediction/</guid><description/></item><item><title>Alignment Relation is What You Need for Diagram Parsing</title><link>https://liujun-xjtu.github.io/en/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/en/publication/alignment-relation-is-what-you-need-for-diagram-parsing/</guid><description/></item><item><title>CoG-DQA: Chain-of-Guiding Learning with Large Language Models for Diagram Question Answering</title><link>https://liujun-xjtu.github.io/en/publication/cog-dqa-chain-of-guiding-learning-with-large-language-models-for-diagram-question-answering/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/cog-dqa-chain-of-guiding-learning-with-large-language-models-for-diagram-question-answering/</guid><description/></item><item><title>Context-Aware Commonsense Knowledge Graph Reasoning with Path-Guided Explanations</title><link>https://liujun-xjtu.github.io/en/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/en/publication/context-aware-commonsense-knowledge-graph-reasoning-with-path-guided-explanations/</guid><description/></item><item><title>E-GPS: Explainable Geometry Problem Solving via Top-Down Solver and Bottom-Up Generator</title><link>https://liujun-xjtu.github.io/en/publication/e-gps-explainable-geometry-problem-solving-via-top-down-solver-and-bottom-up-generator/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/e-gps-explainable-geometry-problem-solving-via-top-down-solver-and-bottom-up-generator/</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/en/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/en/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/en/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/en/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/en/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/en/publication/knowledge-graph-representation-learning-with-relation-guided-aggregation-and-interaction/</guid><description/></item><item><title>LAFA: Multimodal Knowledge Graph Completion with Link Aware Fusion and Aggregation</title><link>https://liujun-xjtu.github.io/en/publication/lafa-multimodal-knowledge-graph-completion-with-link-aware-fusion-and-aggregation/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/lafa-multimodal-knowledge-graph-completion-with-link-aware-fusion-and-aggregation/</guid><description/></item><item><title>Learnable Convolutional Attention Network for Knowledge Graph Completion</title><link>https://liujun-xjtu.github.io/en/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/en/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/en/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/en/publication/learning-path-recommendation-with-multi-behavior-user-modeling-and-cascading-deep-q-networks/</guid><description/></item><item><title>Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering</title><link>https://liujun-xjtu.github.io/en/publication/look-listen-and-answer-overcoming-biases-for-audio-visual-question-answering/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/look-listen-and-answer-overcoming-biases-for-audio-visual-question-answering/</guid><description/></item><item><title>Mixed Geometry Message and Trainable Convolutional Attention Network for KG Completion</title><link>https://liujun-xjtu.github.io/en/publication/mixed-geometry-message-and-trainable-convolutional-attention-network-for-kg-completion/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/mixed-geometry-message-and-trainable-convolutional-attention-network-for-kg-completion/</guid><description/></item><item><title>Multi-View Cognition with Path Search for One-Shot Part Labeling</title><link>https://liujun-xjtu.github.io/en/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/en/publication/multi-view-cognition-with-path-search-for-one-shot-part-labeling/</guid><description/></item><item><title>PathReasoner: Modeling Reasoning Path with Equivalent Extension for Logical Question Answering</title><link>https://liujun-xjtu.github.io/en/publication/pathreasoner-modeling-reasoning-path-with-equivalent-extension-for-logical-question-answering/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/pathreasoner-modeling-reasoning-path-with-equivalent-extension-for-logical-question-answering/</guid><description/></item><item><title>QGEval: Benchmarking Multi-dimensional Evaluation for Question Generation</title><link>https://liujun-xjtu.github.io/en/publication/qgeval-benchmarking-multi-dimensional-evaluation-for-question-generation/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/qgeval-benchmarking-multi-dimensional-evaluation-for-question-generation/</guid><description/></item><item><title>Robust Visual Question Answering: Datasets, Methods, and Future Challenges</title><link>https://liujun-xjtu.github.io/en/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/en/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/en/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/en/publication/rtrl-relation-aware-transformer-with-reinforcement-learning-for-deep-question-generation/</guid><description/></item><item><title>Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models</title><link>https://liujun-xjtu.github.io/en/publication/symbol-llm-towards-foundational-symbol-centric-interface-for-large-language-models/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/symbol-llm-towards-foundational-symbol-centric-interface-for-large-language-models/</guid><description/></item><item><title>TDGI: Translation-Guided Double-Graph Inference for Document-Level Relation Extraction</title><link>https://liujun-xjtu.github.io/en/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/en/publication/tdgi-translation-guided-double-graph-inference-for-document-level-relation-extraction/</guid><description/></item><item><title>Untargeted Adversarial Attack on Knowledge Graph Embeddings</title><link>https://liujun-xjtu.github.io/en/publication/untargeted-adversarial-attack-on-knowledge-graph-embeddings/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/untargeted-adversarial-attack-on-knowledge-graph-embeddings/</guid><description/></item><item><title>When Phrases Meet Probabilities: Enabling Open Relation Extraction with Cooperating Large Language Models</title><link>https://liujun-xjtu.github.io/en/publication/when-phrases-meet-probabilities-enabling-open-relation-extraction-with-cooperating-large-language-mo/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/when-phrases-meet-probabilities-enabling-open-relation-extraction-with-cooperating-large-language-mo/</guid><description/></item><item><title>B2-Sampling: Fusing Balanced and Biased Sampling for Graph Contrastive Learning</title><link>https://liujun-xjtu.github.io/en/publication/b2-sampling-fusing-balanced-and-biased-sampling-for-graph-contrastive-learning/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/b2-sampling-fusing-balanced-and-biased-sampling-for-graph-contrastive-learning/</guid><description/></item><item><title>Diagram Perception Networks for Textbook Question Answering via Joint Optimization</title><link>https://liujun-xjtu.github.io/en/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/en/publication/diagram-perception-networks-for-textbook-question-answering-via-joint-optimization/</guid><description/></item><item><title>Diagram Visual Grounding: Learning to See with Gestalt-Perceptual Attention</title><link>https://liujun-xjtu.github.io/en/publication/diagram-visual-grounding-learning-to-see-with-gestalt-perceptual-attention/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/diagram-visual-grounding-learning-to-see-with-gestalt-perceptual-attention/</guid><description/></item><item><title>DisAVR: Disentangled Adaptive Visual Reasoning Network for Diagram Question Answering</title><link>https://liujun-xjtu.github.io/en/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/en/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/en/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/en/publication/dynamic-dual-graph-networks-for-textbook-question-answering/</guid><description/></item><item><title>GBTTE: Graph Attention Network Based Bus Travel Time Estimation</title><link>https://liujun-xjtu.github.io/en/publication/gbtte-graph-attention-network-based-bus-travel-time-estimation/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/gbtte-graph-attention-network-based-bus-travel-time-estimation/</guid><description/></item><item><title>GPTR: Gestalt-Perception Transformer for Diagram Object Detection</title><link>https://liujun-xjtu.github.io/en/publication/gptr-gestalt-perception-transformer-for-diagram-object-detection/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/gptr-gestalt-perception-transformer-for-diagram-object-detection/</guid><description/></item><item><title>Incorporating Logic Rules with Textual Representations for Interpretable Knowledge Graph Reasoning</title><link>https://liujun-xjtu.github.io/en/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/en/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/en/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/en/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/en/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/en/publication/moca-incorporating-domain-pretraining-and-cross-attention-for-textbook-question-answering/</guid><description/></item><item><title>Relation-Aware Multi-Positive Contrastive Knowledge Graph Completion</title><link>https://liujun-xjtu.github.io/en/publication/relation-aware-multi-positive-contrastive-knowledge-graph-completion/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/relation-aware-multi-positive-contrastive-knowledge-graph-completion/</guid><description/></item><item><title>RPMG-FSS: Robust Prior Mask Guided Few-Shot Semantic Segmentation</title><link>https://liujun-xjtu.github.io/en/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/en/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/en/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/en/publication/socialsift-target-query-discovery-on-online-social-media-with-deep-reinforcement-learning/</guid><description/></item><item><title>Synthesize, Prompt and Transfer: Zero-shot Conversational Question Generation</title><link>https://liujun-xjtu.github.io/en/publication/synthesize-prompt-and-transfer-zero-shot-conversational-question-generation/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/synthesize-prompt-and-transfer-zero-shot-conversational-question-generation/</guid><description/></item><item><title>TECHS: Temporal Logical Graph Networks for Explainable Extrapolation Reasoning</title><link>https://liujun-xjtu.github.io/en/publication/techs-temporal-logical-graph-networks-for-explainable-extrapolation-reasoning/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/techs-temporal-logical-graph-networks-for-explainable-extrapolation-reasoning/</guid><description/></item><item><title>XTQA: Span-Level Explanations for Textbook Question Answering</title><link>https://liujun-xjtu.github.io/en/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/en/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/en/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/en/publication/answering-knowledge-based-visual-questions-via-the-exploration-of-question-purpose/</guid><description/></item><item><title>BusWTE: Realtime Bus Waiting Time Estimation of GPS Missing via Multi-Task Learning</title><link>https://liujun-xjtu.github.io/en/publication/buswte-realtime-bus-waiting-time-estimation-of-gps-missing-via-multi-task-learning/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/buswte-realtime-bus-waiting-time-estimation-of-gps-missing-via-multi-task-learning/</guid><description/></item><item><title>Computer Science Diagram Understanding with Topology Parsing</title><link>https://liujun-xjtu.github.io/en/publication/computer-science-diagram-understanding-with-topology-parsing/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/computer-science-diagram-understanding-with-topology-parsing/</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/en/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/en/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/en/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/en/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/en/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/en/publication/generating-relevant-and-informative-questions-for-open-domain-conversations/</guid><description/></item><item><title>Incorporating Context Graph with Logical Reasoning for Inductive Relation Prediction</title><link>https://liujun-xjtu.github.io/en/publication/incorporating-context-graph-with-logical-reasoning-for-inductive-relation-prediction/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/incorporating-context-graph-with-logical-reasoning-for-inductive-relation-prediction/</guid><description/></item><item><title>Incorporating Prior Type Information for Few-shot Knowledge Graph Completion</title><link>https://liujun-xjtu.github.io/en/publication/incorporating-prior-type-information-for-few-shot-knowledge-graph-completion/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/incorporating-prior-type-information-for-few-shot-knowledge-graph-completion/</guid><description/></item><item><title>Inductive Relation Prediction with Logical Reasoning Using Contrastive Representations</title><link>https://liujun-xjtu.github.io/en/publication/inductive-relation-prediction-with-logical-reasoning-using-contrastive-representations/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/inductive-relation-prediction-with-logical-reasoning-using-contrastive-representations/</guid><description/></item><item><title>Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning</title><link>https://liujun-xjtu.github.io/en/publication/logiformer-a-two-branch-graph-transformer-network-for-interpretable-logical-reasoning/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/logiformer-a-two-branch-graph-transformer-network-for-interpretable-logical-reasoning/</guid><description/></item><item><title>MatchPrompt: Prompt-based Open Relation Extraction with Semantic Consistency Guided Clustering</title><link>https://liujun-xjtu.github.io/en/publication/matchprompt-prompt-based-open-relation-extraction-with-semantic-consistency-guided-clustering/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/matchprompt-prompt-based-open-relation-extraction-with-semantic-consistency-guided-clustering/</guid><description/></item><item><title>MuL-GRN: Multi-Level Graph Relation Network for Few-Shot Node Classification</title><link>https://liujun-xjtu.github.io/en/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/en/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/en/publication/multistructure-contrastive-learning-for-event-representation/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/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/en/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/en/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/en/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/en/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/en/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/en/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/en/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/en/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/en/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/en/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/en/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/en/publication/contrastive-graph-representations-for-logical-formulas-embedding/</guid><description/></item><item><title>CSDQA: Diagram Question Answering in Computer Science</title><link>https://liujun-xjtu.github.io/en/publication/csdqa-diagram-question-answering-in-computer-science/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/csdqa-diagram-question-answering-in-computer-science/</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/en/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/en/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/en/publication/keep-and-select-improving-hierarchical-context-modeling-for-multi-turn-response-generation/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/keep-and-select-improving-hierarchical-context-modeling-for-multi-turn-response-generation/</guid><description/></item><item><title>Multi-Task Learning for Visual Question Answering</title><link>https://liujun-xjtu.github.io/en/publication/multi-task-learning-for-visual-question-answering/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/multi-task-learning-for-visual-question-answering/</guid><description/></item><item><title>Relation-aware Fine-grained Reasoning Network for Textbook Question Answering</title><link>https://liujun-xjtu.github.io/en/publication/relation-aware-fine-grained-reasoning-network-for-textbook-question-answering/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/relation-aware-fine-grained-reasoning-network-for-textbook-question-answering/</guid><description/></item><item><title>Reliable Recommendation with Review-level Explanations</title><link>https://liujun-xjtu.github.io/en/publication/reliable-recommendation-with-review-level-explanations/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/reliable-recommendation-with-review-level-explanations/</guid><description/></item><item><title>Rule-Enhanced Iterative Complementation for Knowledge Graph Reasoning</title><link>https://liujun-xjtu.github.io/en/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/en/publication/rule-enhanced-iterative-complementation-for-knowledge-graph-reasoning/</guid><description/></item><item><title>Faceted Text Segmentation via Multi-Task Learning</title><link>https://liujun-xjtu.github.io/en/publication/faceted-text-segmentation-via-multi-task-learning/</link><pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/faceted-text-segmentation-via-multi-task-learning/</guid><description/></item><item><title>Few-Shot Activity Recognition with Cross-Modal Memory Network</title><link>https://liujun-xjtu.github.io/en/publication/few-shot-activity-recognition-with-cross-modal-memory-network/</link><pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/few-shot-activity-recognition-with-cross-modal-memory-network/</guid><description/></item><item><title>Fine-grained 3D-Attention Prototypes for Few-Shot Learning</title><link>https://liujun-xjtu.github.io/en/publication/fine-grained-3d-attention-prototypes-for-few-shot-learning/</link><pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/fine-grained-3d-attention-prototypes-for-few-shot-learning/</guid><description/></item><item><title>Weakly Supervised Group Mask Network for Object Detection</title><link>https://liujun-xjtu.github.io/en/publication/weakly-supervised-group-mask-network-for-object-detection/</link><pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/weakly-supervised-group-mask-network-for-object-detection/</guid><description/></item><item><title>ZSTAD: Zero-Shot Temporal Activity Detection</title><link>https://liujun-xjtu.github.io/en/publication/zstad-zero-shot-temporal-activity-detection/</link><pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/zstad-zero-shot-temporal-activity-detection/</guid><description/></item><item><title>AHNG: Representation Learning on Attributed Heterogeneous Network</title><link>https://liujun-xjtu.github.io/en/publication/ahng-representation-learning-on-attributed-heterogeneous-network/</link><pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/ahng-representation-learning-on-attributed-heterogeneous-network/</guid><description/></item><item><title>Deep Top-k Ranking for Image-Sentence Matching</title><link>https://liujun-xjtu.github.io/en/publication/deep-top-k-ranking-for-image-sentence-matching/</link><pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/deep-top-k-ranking-for-image-sentence-matching/</guid><description/></item><item><title>Jointly Optimized Neural Coreference Resolution with Mutual Attention</title><link>https://liujun-xjtu.github.io/en/publication/jointly-optimized-neural-coreference-resolution-with-mutual-attention/</link><pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/jointly-optimized-neural-coreference-resolution-with-mutual-attention/</guid><description/></item><item><title>Knowledge Forest: A Novel Model to Organize Knowledge Fragments</title><link>https://liujun-xjtu.github.io/en/publication/knowledge-forest-a-novel-model-to-organize-knowledge-fragments/</link><pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/knowledge-forest-a-novel-model-to-organize-knowledge-fragments/</guid><description/></item><item><title>Scheduled Sampling for One-Shot Learning via Matching Network</title><link>https://liujun-xjtu.github.io/en/publication/scheduled-sampling-for-one-shot-learning-via-matching-network/</link><pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/scheduled-sampling-for-one-shot-learning-via-matching-network/</guid><description/></item><item><title>A Deep Multi-Modal CNN for Multi-Instance Multi-Label Image Classification</title><link>https://liujun-xjtu.github.io/en/publication/a-deep-multi-modal-cnn-for-multi-instance-multi-label-image-classification/</link><pubDate>Mon, 01 Jan 2018 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/a-deep-multi-modal-cnn-for-multi-instance-multi-label-image-classification/</guid><description/></item><item><title>Android Malware Familial Classification via Frequent Subgraph Analysis</title><link>https://liujun-xjtu.github.io/en/publication/android-malware-familial-classification-via-frequent-subgraph-analysis/</link><pubDate>Mon, 01 Jan 2018 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/android-malware-familial-classification-via-frequent-subgraph-analysis/</guid><description/></item><item><title>CTDroid: Leveraging a Corpus of Technical Blogs for Android Malware Analysis</title><link>https://liujun-xjtu.github.io/en/publication/ctdroid-leveraging-a-corpus-of-technical-blogs-for-android-malware-analysis/</link><pubDate>Mon, 01 Jan 2018 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/ctdroid-leveraging-a-corpus-of-technical-blogs-for-android-malware-analysis/</guid><description/></item><item><title>Facet Annotation by Extending CNN with a Matching Strategy</title><link>https://liujun-xjtu.github.io/en/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/en/publication/facet-annotation-by-extending-cnn-with-a-matching-strategy/</guid><description/></item><item><title>Graph Embedding based Familial Analysis of Android Malware</title><link>https://liujun-xjtu.github.io/en/publication/graph-embedding-based-familial-analysis-of-android-malware/</link><pubDate>Mon, 01 Jan 2018 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/graph-embedding-based-familial-analysis-of-android-malware/</guid><description/></item><item><title>Graph Embedding based Query Construction over Knowledge Graphs</title><link>https://liujun-xjtu.github.io/en/publication/graph-embedding-based-query-construction-over-knowledge-graphs/</link><pubDate>Mon, 01 Jan 2018 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/graph-embedding-based-query-construction-over-knowledge-graphs/</guid><description/></item><item><title>Towards Empty Answers in SPARQL: Approximating Querying with RDF Embedding</title><link>https://liujun-xjtu.github.io/en/publication/towards-empty-answers-in-sparql-approximating-querying-with-rdf-embedding/</link><pubDate>Mon, 01 Jan 2018 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/towards-empty-answers-in-sparql-approximating-querying-with-rdf-embedding/</guid><description/></item><item><title>DAPASA: Detecting Android Piggybacked Apps through Sensitive Subgraph Analysis</title><link>https://liujun-xjtu.github.io/en/publication/dapasa-detecting-android-piggybacked-apps-through-sensitive-subgraph-analysis/</link><pubDate>Sun, 01 Jan 2017 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/dapasa-detecting-android-piggybacked-apps-through-sensitive-subgraph-analysis/</guid><description/></item><item><title>Internet Traffic Classification Based on Expanding Vector of Flow</title><link>https://liujun-xjtu.github.io/en/publication/internet-traffic-classification-based-on-expanding-vector-of-flow/</link><pubDate>Sun, 01 Jan 2017 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/internet-traffic-classification-based-on-expanding-vector-of-flow/</guid><description/></item><item><title>Knowledge Engineering with Big Data (BigKE)</title><link>https://liujun-xjtu.github.io/en/publication/knowledge-engineering-with-big-data-bigke/</link><pubDate>Sun, 01 Jan 2017 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/knowledge-engineering-with-big-data-bigke/</guid><description/></item><item><title>DFT-extractor: A System to Extract Domain-specific Faceted Taxonomies from Wikipedia</title><link>https://liujun-xjtu.github.io/en/publication/dft-extractor-a-system-to-extract-domain-specific-faceted-taxonomies-from-wikipedia/</link><pubDate>Fri, 01 Jan 2016 00:00:00 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