<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Paper-Conference | Jun Liu | XJTU</title><link>https://liujun-xjtu.github.io/en/publication_types/paper-conference/</link><atom:link href="https://liujun-xjtu.github.io/en/publication_types/paper-conference/index.xml" rel="self" type="application/rss+xml"/><description>Paper-Conference</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</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>Paper-Conference</title><link>https://liujun-xjtu.github.io/en/publication_types/paper-conference/</link></image><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 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/beyond-layer-wise-merging-chain-of-merging-for-vision-language-models/</guid><description/></item><item><title>Dual-Cluster Memory Agent: Resolving Multi-Paradigm Ambiguity in Optimization Problem Solving</title><link>https://liujun-xjtu.github.io/en/publication/dual-cluster-memory-agent-resolving-multi-paradigm-ambiguity-in-optimization-problem-solving/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/dual-cluster-memory-agent-resolving-multi-paradigm-ambiguity-in-optimization-problem-solving/</guid><description/></item><item><title>Exploring Knowledge Conflicts for Faithful LLM Reasoning: Benchmark and Method</title><link>https://liujun-xjtu.github.io/en/publication/exploring-knowledge-conflicts-for-faithful-llm-reasoning-benchmark-and-method/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/exploring-knowledge-conflicts-for-faithful-llm-reasoning-benchmark-and-method/</guid><description/></item><item><title>GeoLaux: A Benchmark for Evaluating MLLMs Geometry Performance on Long-Step Problems Requiring Auxiliary Lines</title><link>https://liujun-xjtu.github.io/en/publication/geolaux-a-benchmark-for-evaluating-mllms-geometry-performance-on-long-step-problems-requiring-auxili/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/geolaux-a-benchmark-for-evaluating-mllms-geometry-performance-on-long-step-problems-requiring-auxili/</guid><description/></item><item><title>Locomo-Plus: Beyond-Factual Cognitive Memory Evaluation Framework for LLM Agents</title><link>https://liujun-xjtu.github.io/en/publication/locomo-plus-beyond-factual-cognitive-memory-evaluation-framework-for-llm-agents/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +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>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 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/neurodynamics-driven-coupled-neural-p-systems-for-multi-focus-image-fusion/</guid><description/></item><item><title>OptiVerse: A Comprehensive Benchmark towards Optimization Problem Solving</title><link>https://liujun-xjtu.github.io/en/publication/optiverse-a-comprehensive-benchmark-towards-optimization-problem-solving/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/optiverse-a-comprehensive-benchmark-towards-optimization-problem-solving/</guid><description/></item><item><title>PhysPRM: A Generative Process Reward Model with Fine-grained Diagnosis for Physics Problem Solving</title><link>https://liujun-xjtu.github.io/en/publication/physprm-a-generative-process-reward-model-with-fine-grained-diagnosis-for-physics-problem-solving/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/physprm-a-generative-process-reward-model-with-fine-grained-diagnosis-for-physics-problem-solving/</guid><description/></item><item><title>SketchVL: Policy Optimization via Fine-Grained Credit Assignment for Chart Understanding and More</title><link>https://liujun-xjtu.github.io/en/publication/sketchvl-policy-optimization-via-fine-grained-credit-assignment-for-chart-understanding-and-more/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/sketchvl-policy-optimization-via-fine-grained-credit-assignment-for-chart-understanding-and-more/</guid><description/></item><item><title>Causal-R: A Causal-Reasoning Geometry Problem Solver for Optimized 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>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>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>Logic-Aware Knowledge Graph Reasoning for Structural Sparsity under LLM Supervision</title><link>https://liujun-xjtu.github.io/en/publication/logic-aware-knowledge-graph-reasoning-for-structural-sparsity-under-llm-supervision/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/logic-aware-knowledge-graph-reasoning-for-structural-sparsity-under-llm-supervision/</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>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>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>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>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>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>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>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>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 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>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>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>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>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>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>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>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>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>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>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>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>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 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/dft-extractor-a-system-to-extract-domain-specific-faceted-taxonomies-from-wikipedia/</guid><description/></item><item><title>Faceted Exploring for Domain Knowledge over Linked Open Data</title><link>https://liujun-xjtu.github.io/en/publication/faceted-exploring-for-domain-knowledge-over-linked-open-data/</link><pubDate>Fri, 01 Jan 2016 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/faceted-exploring-for-domain-knowledge-over-linked-open-data/</guid><description/></item><item><title>Frequent Subgraph based Familial Classification of Android Malware</title><link>https://liujun-xjtu.github.io/en/publication/frequent-subgraph-based-familial-classification-of-android-malware/</link><pubDate>Fri, 01 Jan 2016 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/frequent-subgraph-based-familial-classification-of-android-malware/</guid><description/></item></channel></rss>