<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Publication on Maojiang Su</title><link>https://maojiangsu.github.io/tags/publication/</link><description>Recent content in Publication on Maojiang Su</description><generator>Hugo -- 0.147.2</generator><language>en</language><lastBuildDate>Thu, 01 Jan 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://maojiangsu.github.io/tags/publication/index.xml" rel="self" type="application/rss+xml"/><item><title>Discrete flow matching policy optimization</title><link>https://maojiangsu.github.io/papers/scholar-ulom3-a8wrac/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://maojiangsu.github.io/papers/scholar-ulom3-a8wrac/</guid><description>arXiv preprint arXiv:2604.06491, 2026.</description></item><item><title>In-Context Universal Approximation, Compositional Generalization, and Algorithm Emulation</title><link>https://maojiangsu.github.io/papers/scholar-yowf2qjgphmc/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://maojiangsu.github.io/papers/scholar-yowf2qjgphmc/</guid><description>International Conference on Machine Learning (ICML) 2026, 2026.</description></item><item><title>Learning Manifold Data with Flow Matching</title><link>https://maojiangsu.github.io/papers/scholar-kc-bzdyksqc/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://maojiangsu.github.io/papers/scholar-kc-bzdyksqc/</guid><description>International Conference on Machine Learning (ICML) 2026, 2026.</description></item><item><title>MagicSim: A Unified Infrastructure for Executable Embodied Interaction</title><link>https://maojiangsu.github.io/papers/scholar-4topqqg69kyc/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://maojiangsu.github.io/papers/scholar-4topqqg69kyc/</guid><description>arXiv preprint arXiv:2606.17511, 2026.</description></item><item><title>Phys4D: Fine-Grained Physics-Consistent 4D Modeling from Video Diffusion</title><link>https://maojiangsu.github.io/papers/scholar-klatu1dfn6uc/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://maojiangsu.github.io/papers/scholar-klatu1dfn6uc/</guid><description>arXiv preprint arXiv:2603.03485, 2026.</description></item><item><title>SPARQ: Outlier-free SpeechLM with Fast Adaptation and Robust Quantization</title><link>https://maojiangsu.github.io/papers/scholar-zph67rfs4hoc/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://maojiangsu.github.io/papers/scholar-zph67rfs4hoc/</guid><description>Listed on Google Scholar in 2026.</description></item><item><title>A theoretical analysis of discrete flow matching generative models</title><link>https://maojiangsu.github.io/papers/scholar-lkgwnxomwfcc/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://maojiangsu.github.io/papers/scholar-lkgwnxomwfcc/</guid><description>arXiv preprint arXiv:2509.22623, 2025.</description></item><item><title>Minimalist Softmax Attention Provably Learns Constrained Boolean Functions</title><link>https://maojiangsu.github.io/papers/scholar-eqolee2rzwmc/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://maojiangsu.github.io/papers/scholar-eqolee2rzwmc/</guid><description>arXiv preprint arXiv:2505.19531, 2025.</description></item><item><title>On Flow Matching KL Divergence</title><link>https://maojiangsu.github.io/papers/scholar-0enyyjriufmc/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://maojiangsu.github.io/papers/scholar-0enyyjriufmc/</guid><description>arXiv preprint arXiv:2511.05480, 2025.</description></item></channel></rss>