<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>H. Yan | 刘均 | 西安交通大学</title><link>https://liujun-xjtu.github.io/zh/authors/h.-yan/</link><atom:link href="https://liujun-xjtu.github.io/zh/authors/h.-yan/index.xml" rel="self" type="application/rss+xml"/><description>H. Yan</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>zh-Hans</language><lastBuildDate>Thu, 01 Jan 2026 00:00:00 +0000</lastBuildDate><item><title>MUR: Momentum Uncertainty guided Reasoning for Large Language Models</title><link>https://liujun-xjtu.github.io/zh/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/zh/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/zh/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/zh/publication/neurodynamics-driven-coupled-neural-p-systems-for-multi-focus-image-fusion/</guid><description/></item><item><title>Decoding: Adaptive Foresight Sampling for Balanced Inference-Time Exploration and Exploitation</title><link>https://liujun-xjtu.github.io/zh/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/zh/publication/decoding-adaptive-foresight-sampling-for-balanced-inference-time-exploration-and-exploitation/</guid><description/></item><item><title>Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced Reasoning</title><link>https://liujun-xjtu.github.io/zh/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/zh/publication/genius-a-generalizable-and-purely-unsupervised-self-training-framework-for-advanced-reasoning/</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>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></channel></rss>