<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>1 | Xingtong Yu</title><link>https://xingtongyu.netlify.app/publication-type/1/</link><atom:link href="https://xingtongyu.netlify.app/publication-type/1/index.xml" rel="self" type="application/rss+xml"/><description>1</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><lastBuildDate>Fri, 30 May 2025 07:41:21 +0000</lastBuildDate><image><url>https://xingtongyu.netlify.app/media/icon_hu0b7a4cb9992c9ac0e91bd28ffd38dd00_9727_512x512_fill_lanczos_center_3.png</url><title>1</title><link>https://xingtongyu.netlify.app/publication-type/1/</link></image><item><title>Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity</title><link>https://xingtongyu.netlify.app/publication/taming-recommendation-bias-with-causal-intervention-on-evolving-personal-popularity/</link><pubDate>Fri, 30 May 2025 07:41:21 +0000</pubDate><guid>https://xingtongyu.netlify.app/publication/taming-recommendation-bias-with-causal-intervention-on-evolving-personal-popularity/</guid><description/></item><item><title>GCoT: Chain-of-Thought Prompt Learning for Graphs</title><link>https://xingtongyu.netlify.app/2025-publication/gcot-chain-of-thought-prompt-learning-for-graphs/</link><pubDate>Wed, 14 May 2025 05:10:07 +0000</pubDate><guid>https://xingtongyu.netlify.app/2025-publication/gcot-chain-of-thought-prompt-learning-for-graphs/</guid><description/></item><item><title>Node-Time Conditional Prompt Learning In Dynamic Graphs</title><link>https://xingtongyu.netlify.app/2025-publication/dygprompt-learning-feature-and-time-prompts-on-dynamic-graphs/</link><pubDate>Sat, 22 Mar 2025 01:48:40 +0000</pubDate><guid>https://xingtongyu.netlify.app/2025-publication/dygprompt-learning-feature-and-time-prompts-on-dynamic-graphs/</guid><description/></item><item><title>Non-homophilic graph pre-training and prompt learning</title><link>https://xingtongyu.netlify.app/2025-publication/non-homophilic-graph-pre-training-and-prompt-learning/</link><pubDate>Thu, 20 Mar 2025 07:25:32 +0000</pubDate><guid>https://xingtongyu.netlify.app/2025-publication/non-homophilic-graph-pre-training-and-prompt-learning/</guid><description/></item><item><title>SAMGPT: Text-free Graph Foundation Model for Multi-domain Pre-training and Cross-domain Adaptation</title><link>https://xingtongyu.netlify.app/2025-publication/samgpt-text-free-graph-foundation-model-for-multi-domain-pre-training-and-cross-domain-adaptation/</link><pubDate>Fri, 14 Mar 2025 05:03:29 +0000</pubDate><guid>https://xingtongyu.netlify.app/2025-publication/samgpt-text-free-graph-foundation-model-for-multi-domain-pre-training-and-cross-domain-adaptation/</guid><description/></item><item><title>GCoT: Chain-of-Thought Prompt Learning for Graphs</title><link>https://xingtongyu.netlify.app/publication/gcot-chain-of-thought-prompt-learning-for-graphs/</link><pubDate>Fri, 14 Feb 2025 05:10:07 +0000</pubDate><guid>https://xingtongyu.netlify.app/publication/gcot-chain-of-thought-prompt-learning-for-graphs/</guid><description/></item><item><title>Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity</title><link>https://xingtongyu.netlify.app/2025-publication/taming-recommendation-bias-with-causal-intervention-on-evolving-personal-popularity/</link><pubDate>Thu, 30 Jan 2025 07:41:21 +0000</pubDate><guid>https://xingtongyu.netlify.app/2025-publication/taming-recommendation-bias-with-causal-intervention-on-evolving-personal-popularity/</guid><description/></item><item><title>HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding</title><link>https://xingtongyu.netlify.app/2025-publication/hgclip-exploring-vision-language-models-with-graph-representations-for-hierarchical-understanding/</link><pubDate>Wed, 22 Jan 2025 01:48:40 +0000</pubDate><guid>https://xingtongyu.netlify.app/2025-publication/hgclip-exploring-vision-language-models-with-graph-representations-for-hierarchical-understanding/</guid><description/></item><item><title>Learnable Game-Theoretic Policy Optimization for Data-Centric Self-Explanation Rationalization</title><link>https://xingtongyu.netlify.app/2025-publication/learnable-game-theoretic-policy-optimization-for-data-centric-self-explanation-rationalization/</link><pubDate>Wed, 22 Jan 2025 01:48:40 +0000</pubDate><guid>https://xingtongyu.netlify.app/2025-publication/learnable-game-theoretic-policy-optimization-for-data-centric-self-explanation-rationalization/</guid><description/></item><item><title>MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs</title><link>https://xingtongyu.netlify.app/2024-publication/multigprompt-for-multi-task-pre-training-and-prompting-on-graphs/</link><pubDate>Sat, 13 Apr 2024 09:55:39 +0000</pubDate><guid>https://xingtongyu.netlify.app/2024-publication/multigprompt-for-multi-task-pre-training-and-prompting-on-graphs/</guid><description/></item><item><title>HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-shot Prompt Learning</title><link>https://xingtongyu.netlify.app/2024-publication/hgprompt-bridging-homogeneous-and-heterogeneous-graphs-for-few-shot-prompt-learning/</link><pubDate>Tue, 06 Feb 2024 09:00:51 +0000</pubDate><guid>https://xingtongyu.netlify.app/2024-publication/hgprompt-bridging-homogeneous-and-heterogeneous-graphs-for-few-shot-prompt-learning/</guid><description/></item><item><title>GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks</title><link>https://xingtongyu.netlify.app/2023-publication/journal-article/</link><pubDate>Wed, 19 Apr 2023 15:26:00 +0000</pubDate><guid>https://xingtongyu.netlify.app/2023-publication/journal-article/</guid><description/></item><item><title>GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks</title><link>https://xingtongyu.netlify.app/publication/journal-article/</link><pubDate>Wed, 19 Apr 2023 15:26:00 +0000</pubDate><guid>https://xingtongyu.netlify.app/publication/journal-article/</guid><description/></item><item><title>Learning to Count Isomorphisms with Graph Neural Networks</title><link>https://xingtongyu.netlify.app/2023-publication/learning-to-count-isomorphisms-with-graph-neural-networks/</link><pubDate>Sun, 19 Feb 2023 14:50:02 +0000</pubDate><guid>https://xingtongyu.netlify.app/2023-publication/learning-to-count-isomorphisms-with-graph-neural-networks/</guid><description/></item><item><title>Pixel Adapter: A Graph-Based Post-Processing Approach for Scene Text Image Super-Resolution</title><link>https://xingtongyu.netlify.app/2023-publication/pixel-adapter-a-graph-based-post-processing-approach-for-scene-text-image-super-resolution/</link><pubDate>Sun, 01 Jan 2023 02:38:03 +0000</pubDate><guid>https://xingtongyu.netlify.app/2023-publication/pixel-adapter-a-graph-based-post-processing-approach-for-scene-text-image-super-resolution/</guid><description>&lt;p>B﻿ibTeX Citation:&lt;/p>
&lt;blockquote>
&lt;p>@inproceedings{zhang2023pixel,
title={Pixel Adapter: A Graph-Based Post-Processing Approach for Scene Text Image Super-Resolution},
author={Zhang, Wenyu and Deng, Xin and Jia, Baojun and Yu, Xingtong and Chen, Yifan and Ma, Jin and Ding, Qing and Zhang, Xinming},
booktitle={Proceedings of the 31st ACM International Conference on Multimedia},
pages={2168&amp;ndash;2179},
year={2023}
}&lt;/p>
&lt;/blockquote></description></item></channel></rss>