<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Xiao-Qian Liu</title><description>Academic portfolio of Xiao-Qian Liu, postdoctoral fellow at Shandong University.</description><link>https://lxq0204.github.io/</link><item><title>[Publication] RISEN: Incremental Multilingual Text Recognition by Sharing and Fusing Cross-language Knowledge</title><link>https://lxq0204.github.io/publications/pattern-risen/</link><guid isPermaLink="true">https://lxq0204.github.io/publications/pattern-risen/</guid><description>Incremental multilingual text recognition through sharing and fusing cross-language knowledge.</description><pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate></item><item><title>[Publication] Self-Supervised Discovery of Cross-Lingual Shared Knowledge for Continual Text Recognition</title><link>https://lxq0204.github.io/publications/tip-cross-lingual/</link><guid isPermaLink="true">https://lxq0204.github.io/publications/tip-cross-lingual/</guid><description>Continual multilingual text recognition through structured discovery and transfer of shared cross-lingual knowledge.</description><pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate></item><item><title>[Publication] Hierarchical Multi-label Learning for Incremental Multilingual Text Recognition</title><link>https://lxq0204.github.io/publications/acmmm-multilabel/</link><guid isPermaLink="true">https://lxq0204.github.io/publications/acmmm-multilabel/</guid><description>Hierarchical multi-label learning for incremental multilingual text recognition.</description><pubDate>Mon, 01 Jan 2024 00:00:00 GMT</pubDate></item><item><title>[Publication] Noisy-Aware Unsupervised Domain Adaptation for Scene Text Recognition</title><link>https://lxq0204.github.io/publications/tip-noisy-aware/</link><guid isPermaLink="true">https://lxq0204.github.io/publications/tip-noisy-aware/</guid><description>Unsupervised adaptation for scene text recognition with learning mechanisms that suppress unreliable pseudo-label supervision.</description><pubDate>Mon, 01 Jan 2024 00:00:00 GMT</pubDate></item><item><title>[Publication] ProtoUDA: Prototype-Based Unsupervised Adaptation for Cross-Domain Text Recognition</title><link>https://lxq0204.github.io/publications/tkde-protouda/</link><guid isPermaLink="true">https://lxq0204.github.io/publications/tkde-protouda/</guid><description>Prototype-based unsupervised adaptation for robust text recognition across domains.</description><pubDate>Mon, 01 Jan 2024 00:00:00 GMT</pubDate></item><item><title>[Publication] TextAdapter: Self-Supervised Domain Adaptation for Cross-Domain Text Recognition</title><link>https://lxq0204.github.io/publications/tmm-textadapter/</link><guid isPermaLink="true">https://lxq0204.github.io/publications/tmm-textadapter/</guid><description>Self-supervised representation adaptation for cross-domain scene text recognition.</description><pubDate>Mon, 01 Jan 2024 00:00:00 GMT</pubDate></item><item><title>[Publication] Unsupervised Domain Adaptation via Class Aggregation for Text Recognition</title><link>https://lxq0204.github.io/publications/tcsvt-class-aggregation/</link><guid isPermaLink="true">https://lxq0204.github.io/publications/tcsvt-class-aggregation/</guid><description>Class-level aggregation for unsupervised domain adaptation in text recognition.</description><pubDate>Sun, 01 Jan 2023 00:00:00 GMT</pubDate></item><item><title>[Publication] Meta-Learning Based Prototype-Relation Network for Few-Shot Classification</title><link>https://lxq0204.github.io/publications/neurocomputing-meta-learning/</link><guid isPermaLink="true">https://lxq0204.github.io/publications/neurocomputing-meta-learning/</guid><description>A prototype-relation network based on meta-learning for few-shot classification.</description><pubDate>Wed, 01 Jan 2020 00:00:00 GMT</pubDate></item></channel></rss>