<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Tian Ye | Efficient AI</title><link>https://research.nvidia.com/labs/eai/author/tian-ye/</link><atom:link href="https://research.nvidia.com/labs/eai/author/tian-ye/index.xml" rel="self" type="application/rss+xml"/><description>Tian Ye</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Tue, 29 Sep 2026 00:00:00 +0000</lastBuildDate><image><url>https://research.nvidia.com/labs/eai/media/icon_hu_f6c58f2ed9051eb5.png</url><title>Tian Ye</title><link>https://research.nvidia.com/labs/eai/author/tian-ye/</link></image><item><title>SoL-Refiner: Speed-of-Light One-Step Refinement for High-Resolution Video</title><link>https://research.nvidia.com/labs/eai/publication/sol-refiner/</link><pubDate>Tue, 29 Sep 2026 00:00:00 +0000</pubDate><guid>https://research.nvidia.com/labs/eai/publication/sol-refiner/</guid><description>&lt;!-- Metadata: https://arxiv.org/abs/2609.37969v2
Featured image: https://arxiv.org/html/2609.37969v2/teaser_pipeline.png
Verified against the EAI publication list on 2026-11-10. --&gt;</description></item><item><title>SoL-Pi: Recursively Scaling Auto-Research Loops for Efficient Agent Harness</title><link>https://research.nvidia.com/labs/eai/publication/sol-pi/</link><pubDate>Thu, 17 Sep 2026 00:00:00 +0000</pubDate><guid>https://research.nvidia.com/labs/eai/publication/sol-pi/</guid><description>&lt;!-- Metadata: https://arxiv.org/abs/2609.20519v1
Featured image: https://arxiv.org/html/2609.20519v1/teaser-funnel-v10.png
Verified against the EAI publication list on 2026-11-10. --&gt;</description></item><item><title>Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification</title><link>https://research.nvidia.com/labs/eai/publication/sol-attn/</link><pubDate>Mon, 27 Jul 2026 00:00:00 +0000</pubDate><guid>https://research.nvidia.com/labs/eai/publication/sol-attn/</guid><description>&lt;!-- Metadata: https://arxiv.org/abs/2607.24027v1
Featured image: https://arxiv.org/html/2607.24027v1/pipeline6.png
Verified against the EAI publication list on 2026-11-10. --&gt;</description></item><item><title>SANA-Video 2.0: Hybrid Linear Attention with Attention Residuals for Efficient Video Generation</title><link>https://research.nvidia.com/labs/eai/publication/sana-video-2.0/</link><pubDate>Thu, 23 Jul 2026 00:00:00 +0000</pubDate><guid>https://research.nvidia.com/labs/eai/publication/sana-video-2.0/</guid><description>&lt;!-- Metadata: https://arxiv.org/abs/2607.21553v1
Featured image: https://arxiv.org/html/2607.21553v1/teaser.png
Verified against the EAI publication list on 2026-11-10. --&gt;</description></item><item><title>SANA-Streaming: Real-time Streaming Video Editing with Hybrid Diffusion Transformer</title><link>https://research.nvidia.com/labs/eai/publication/sana-streaming/</link><pubDate>Thu, 28 May 2026 00:00:00 +0000</pubDate><guid>https://research.nvidia.com/labs/eai/publication/sana-streaming/</guid><description>&lt;!-- Metadata: https://arxiv.org/abs/2605.30409v1
Featured image: https://arxiv.org/html/2605.30409v1/teaser.png
Verified against the EAI publication list on 2026-11-10. --&gt;</description></item><item><title>SANA-WM: Efficient Minute-Scale World Modeling with Hybrid Linear Diffusion Transformer</title><link>https://research.nvidia.com/labs/eai/publication/sana-wm/</link><pubDate>Thu, 14 May 2026 00:00:00 +0000</pubDate><guid>https://research.nvidia.com/labs/eai/publication/sana-wm/</guid><description>&lt;!-- Metadata: https://arxiv.org/abs/2605.15178v1
Featured image: https://arxiv.org/html/2605.15178v1/teaser.png
Verified against the EAI publication list on 2026-11-10. --&gt;</description></item></channel></rss>