<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>M. Huang | 刘均 | 西安交通大学</title><link>https://liujun-xjtu.github.io/zh/authors/m.-huang/</link><atom:link href="https://liujun-xjtu.github.io/zh/authors/m.-huang/index.xml" rel="self" type="application/rss+xml"/><description>M. Huang</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>zh-Hans</language><lastBuildDate>Thu, 01 Jan 2026 00:00:00 +0000</lastBuildDate><item><title>Locomo-Plus: Beyond-Factual Cognitive Memory Evaluation Framework for LLM Agents</title><link>https://liujun-xjtu.github.io/zh/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/zh/publication/locomo-plus-beyond-factual-cognitive-memory-evaluation-framework-for-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/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>SketchVL: Policy Optimization via Fine-Grained Credit Assignment for Chart Understanding and More</title><link>https://liujun-xjtu.github.io/zh/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/zh/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/zh/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/zh/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/zh/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/zh/publication/chartsketcher-reasoning-with-multimodal-feedback-and-reflection-for-chart-understanding/</guid><description/></item><item><title>Cognitive Predictive Coding Network: Rethinking the Generalization in Raven Progressive Matrices</title><link>https://liujun-xjtu.github.io/zh/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/zh/publication/cognitive-predictive-coding-network-rethinking-the-generalization-in-raven-progressive-matrices/</guid><description/></item><item><title>Diagram-driven course questions generation</title><link>https://liujun-xjtu.github.io/zh/publication/diagram-driven-course-questions-generation/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/zh/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/zh/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/zh/publication/evochart-a-benchmark-and-a-self-training-approach-towards-real-world-chart-understanding/</guid><description/></item><item><title>SAGE: Scale-Aware Gradual Evolution for Continual Knowledge Graph Embedding</title><link>https://liujun-xjtu.github.io/zh/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/zh/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/zh/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/zh/publication/vprochart-answering-chart-question-through-visual-perception-alignment-agent-and-programmatic-soluti/</guid><description/></item></channel></rss>