<?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 | Jiakang Yuan</title><link>https://jiakangyuan.github.io/publication_types/paper-conference/</link><atom:link href="https://jiakangyuan.github.io/publication_types/paper-conference/index.xml" rel="self" type="application/rss+xml"/><description>Paper-Conference</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Wed, 01 Jul 2026 00:00:00 +0000</lastBuildDate><image><url>https://jiakangyuan.github.io/media/icon_hu_9c4aa5876d5401cd.png</url><title>Paper-Conference</title><link>https://jiakangyuan.github.io/publication_types/paper-conference/</link></image><item><title>Trust Your Instincts: Confidence-Driven Test-Time RL for Vision-Language-Action Models</title><link>https://jiakangyuan.github.io/publications/t2vla/</link><pubDate>Wed, 01 Jul 2026 00:00:00 +0000</pubDate><guid>https://jiakangyuan.github.io/publications/t2vla/</guid><description/></item><item><title>Segment-Aligned Policy Optimization for Multi-Modal Reasoning</title><link>https://jiakangyuan.github.io/publications/sapo/</link><pubDate>Thu, 07 May 2026 00:00:00 +0000</pubDate><guid>https://jiakangyuan.github.io/publications/sapo/</guid><description/></item><item><title>FlowSearch: Advancing Deep Research with Dynamic Structured Knowledge Flow</title><link>https://jiakangyuan.github.io/publications/flowsearch/</link><pubDate>Sun, 11 Jan 2026 00:00:00 +0000</pubDate><guid>https://jiakangyuan.github.io/publications/flowsearch/</guid><description/></item><item><title>Controllable Memory Usage: Balancing Anchoring and Innovation in Long-Term Human-Agent Interaction</title><link>https://jiakangyuan.github.io/publications/controllable-memory-usage/</link><pubDate>Thu, 08 Jan 2026 00:00:00 +0000</pubDate><guid>https://jiakangyuan.github.io/publications/controllable-memory-usage/</guid><description/></item><item><title>Omniquality-R: Advanced Reward Models through All-Encompassing Quality Assessment</title><link>https://jiakangyuan.github.io/publications/omniquality-r/</link><pubDate>Sun, 12 Oct 2025 00:00:00 +0000</pubDate><guid>https://jiakangyuan.github.io/publications/omniquality-r/</guid><description/></item><item><title>Chimera: Improving Generalist Model with Domain-Specific Experts</title><link>https://jiakangyuan.github.io/publications/chimera/</link><pubDate>Sun, 01 Jun 2025 00:00:00 +0000</pubDate><guid>https://jiakangyuan.github.io/publications/chimera/</guid><description/></item><item><title>Lumina-Image 2.0: A Unified and Efficient Image Generative Framework</title><link>https://jiakangyuan.github.io/publications/lumina-image-2/</link><pubDate>Sun, 01 Jun 2025 00:00:00 +0000</pubDate><guid>https://jiakangyuan.github.io/publications/lumina-image-2/</guid><description/></item><item><title>MME-Reasoning: A Comprehensive Benchmark for Logical Reasoning in MLLMs</title><link>https://jiakangyuan.github.io/publications/mme-reasoning/</link><pubDate>Tue, 20 May 2025 00:00:00 +0000</pubDate><guid>https://jiakangyuan.github.io/publications/mme-reasoning/</guid><description/></item><item><title>Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and Feedback</title><link>https://jiakangyuan.github.io/publications/dolphin/</link><pubDate>Thu, 01 May 2025 00:00:00 +0000</pubDate><guid>https://jiakangyuan.github.io/publications/dolphin/</guid><description/></item><item><title>SurveyForge: On the Outline Heuristics, Memory-Driven Generation, and Multi-dimensional Evaluation for Automated Survey Writing</title><link>https://jiakangyuan.github.io/publications/surveyforge/</link><pubDate>Thu, 01 May 2025 00:00:00 +0000</pubDate><guid>https://jiakangyuan.github.io/publications/surveyforge/</guid><description/></item><item><title>Consistency-aware Self-Training for Iterative-based Stereo Matching</title><link>https://jiakangyuan.github.io/publications/cst-stereo/</link><pubDate>Sat, 01 Feb 2025 00:00:00 +0000</pubDate><guid>https://jiakangyuan.github.io/publications/cst-stereo/</guid><description/></item><item><title>All-in-One: Transferring Vision Foundation Models into Stereo Matching</title><link>https://jiakangyuan.github.io/publications/aiostereo/</link><pubDate>Sun, 01 Dec 2024 00:00:00 +0000</pubDate><guid>https://jiakangyuan.github.io/publications/aiostereo/</guid><description/></item><item><title>GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-training</title><link>https://jiakangyuan.github.io/publications/geox/</link><pubDate>Sun, 01 Dec 2024 00:00:00 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+0000</pubDate><guid>https://jiakangyuan.github.io/publications/reg-tta3d/</guid><description/></item><item><title>ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation</title><link>https://jiakangyuan.github.io/publications/resimad/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://jiakangyuan.github.io/publications/resimad/</guid><description/></item><item><title>AD-PT: Autonomous Driving Pre-Training with Large-scale Point Cloud Dataset</title><link>https://jiakangyuan.github.io/publications/ad-pt/</link><pubDate>Fri, 01 Sep 2023 00:00:00 +0000</pubDate><guid>https://jiakangyuan.github.io/publications/ad-pt/</guid><description/></item><item><title>Bi3D: Bi-domain Active Learning for Cross-domain 3D Object Detection</title><link>https://jiakangyuan.github.io/publications/bi3d/</link><pubDate>Wed, 01 Feb 2023 00:00:00 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