<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Chen Xia | NIULAB</title><link>https://souig.github.io/authors/chen-xia/</link><atom:link href="https://souig.github.io/authors/chen-xia/index.xml" rel="self" type="application/rss+xml"/><description>Chen Xia</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en</language><lastBuildDate>Thu, 01 Jan 2026 00:00:00 +0000</lastBuildDate><image><url>https://souig.github.io/authors/chen-xia/avatar_hu_d083ebf6c6f42db6.jpg</url><title>Chen Xia</title><link>https://souig.github.io/authors/chen-xia/</link></image><item><title>CoSTr: a Fully Sparse Transformer with Mutual Information for Pragmatic Collaborative Perception</title><link>https://souig.github.io/publication/costr-sparse-282/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://souig.github.io/publication/costr-sparse-282/</guid><description/></item><item><title>DH-VLM: Dual-Horizon Cooperative Latent Reasoning for Autonomous Driving</title><link>https://souig.github.io/publication/dh-vlm-293/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://souig.github.io/publication/dh-vlm-293/</guid><description/></item><item><title>SparseCoM: Fully Sparse Collaborative Perception via Mixture of BEV Experts</title><link>https://souig.github.io/publication/sparsecom-bev-292/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://souig.github.io/publication/sparsecom-bev-292/</guid><description/></item><item><title>UniMM-V2X: MoE-Enhanced Multi-Level Fusion for End-to-End Cooperative Autonomous Driving</title><link>https://souig.github.io/publication/unimm-v2x-281/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://souig.github.io/publication/unimm-v2x-281/</guid><description/></item></channel></rss>