<?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 | Wenxi Li's Personal Page</title><link>https://liwenxi.github.io/publication-type/paper-conference/</link><atom:link href="https://liwenxi.github.io/publication-type/paper-conference/index.xml" rel="self" type="application/rss+xml"/><description>paper-conference</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 01 Jan 2026 00:00:00 +0000</lastBuildDate><image><url>https://liwenxi.github.io/media/icon_hu1d4110f592c674cb4c7228ceeb4bd0a4_223499_512x512_fill_lanczos_center_3.png</url><title>paper-conference</title><link>https://liwenxi.github.io/publication-type/paper-conference/</link></image><item><title>2D-CrossScan Mamba: Enhancing State Space Models with Spatially Consistent Multi-Path 2D Information Propagation</title><link>https://liwenxi.github.io/publication/2d-crossscan-mamba-2026/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://liwenxi.github.io/publication/2d-crossscan-mamba-2026/</guid><description/></item><item><title>AWP: Activation-based Window Pruning for Gigapixel Object Detection</title><link>https://liwenxi.github.io/publication/awp-2026/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://liwenxi.github.io/publication/awp-2026/</guid><description/></item><item><title>BiHashFormer: Hash-Driven Dual-Branch Transformer for Efficient Object Detection in HRW Shots</title><link>https://liwenxi.github.io/publication/bihashformer-2026/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://liwenxi.github.io/publication/bihashformer-2026/</guid><description/></item><item><title>ElasticFormer: Detecting Objects in HRW Shots via Elastic Computing Vision Transformer</title><link>https://liwenxi.github.io/publication/elasticformer-2026/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://liwenxi.github.io/publication/elasticformer-2026/</guid><description/></item><item><title>GigaMoE: Sparsity-Guided Mixture of Experts for Efficient Gigapixel Object Detection</title><link>https://liwenxi.github.io/publication/gigamoe-2026/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://liwenxi.github.io/publication/gigamoe-2026/</guid><description/></item><item><title>SpanFormer: Multi-Level Adaptive Sparsity for Object Detection in High-Resolution Wide Shots</title><link>https://liwenxi.github.io/publication/spanformer-2026/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://liwenxi.github.io/publication/spanformer-2026/</guid><description/></item><item><title>SparseFormer: Detecting Objects in HRW Shots via Sparse Vision Transformer</title><link>https://liwenxi.github.io/publication/li2024mm/</link><pubDate>Mon, 05 Aug 2024 00:00:00 +0000</pubDate><guid>https://liwenxi.github.io/publication/li2024mm/</guid><description>&lt;!--
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&lt;!-- Add the publication's **full text** or **supplementary notes** here. You can use rich formatting such as including [code, math, and images](https://docs.hugoblox.com/content/writing-markdown-latex/). --></description></item><item><title>SaccadeMOT: Enhancing Object Detection and Tracking in Gigapixel Images via Scale-Aware Density Estimation</title><link>https://liwenxi.github.io/publication/li2024ecai/</link><pubDate>Fri, 05 Jul 2024 00:00:00 +0000</pubDate><guid>https://liwenxi.github.io/publication/li2024ecai/</guid><description>&lt;!--
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&lt;!-- Add the publication's **full text** or **supplementary notes** here. You can use rich formatting such as including [code, math, and images](https://docs.hugoblox.com/content/writing-markdown-latex/). --></description></item><item><title>SaccadeDet: A Novel Dual-Stage Architecture for Rapid and Accurate Detection in Gigapixel Images</title><link>https://liwenxi.github.io/publication/li2024ecml/</link><pubDate>Thu, 30 May 2024 00:00:00 +0000</pubDate><guid>https://liwenxi.github.io/publication/li2024ecml/</guid><description>&lt;!--
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&lt;!-- Add the publication's **full text** or **supplementary notes** here. You can use rich formatting such as including [code, math, and images](https://docs.hugoblox.com/content/writing-markdown-latex/). --></description></item><item><title>Semantic Enrichment for Video Question Answering with Gated Graph Neural Networks</title><link>https://liwenxi.github.io/publication/lyu2024icassp/</link><pubDate>Sun, 14 Apr 2024 00:00:00 +0000</pubDate><guid>https://liwenxi.github.io/publication/lyu2024icassp/</guid><description>&lt;!--
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