Merge branch 'master' of github.com:OpenPerceptionX/OpenPerceptionX.github.io

Author: lzpyx

app/(default)/(home)/page.tsx

@@ -261,7 +261,7 @@ export default function Home() {
 
                             {
                                 publication.description && (
-                                    <i className="text-sm text-o-gray">
+                                    <i className="text-sm text-o-gray whitespace-pre-line">
                                         {publication.description}
                                     </i>
                                 )

app/(default)/(page)/publications/page.tsx

@@ -93,26 +93,29 @@ export default function Home() {
                                             </div>
                                             <span className="text-sm flex flex-wrap">
                                                 {
-                                                    publication.author.split(', ').map((author, index) => (
-                                                        <div key={author}>
-                                                            {
-                                                                author in scholar ? (
-                                                                    <Link className="text-o-dark-blue animated-underline-gray" href={scholar[author]} target={scholar[author].startsWith('http') ? '_blank' : '_self'}>
-                                                                        {author}
-                                                                    </Link>
-                                                                ) : (
-                                                                    <span>
-                                                                        {author}
-                                                                    </span>
-                                                                )
-                                                            }
-                                                            {
-                                                                index < publication.author.split(', ').length - 1 && (
-                                                                    <span>,&nbsp;</span>
-                                                                )
-                                                            }
-                                                        </div>
-                                                    ))
+                                                    publication.author.split(', ').map((author, index) => {
+                                                        const trimmedAuthor = author.trim();
+                                                        return (
+                                                            <div key={author}>
+                                                                {
+                                                                    trimmedAuthor in scholar ? (
+                                                                        <Link className="text-o-dark-blue animated-underline-gray" href={scholar[trimmedAuthor]} target={scholar[trimmedAuthor].startsWith('http') ? '_blank' : '_self'}>
+                                                                            {trimmedAuthor}
+                                                                        </Link>
+                                                                    ) : (
+                                                                        <span>
+                                                                            {trimmedAuthor}
+                                                                        </span>
+                                                                    )
+                                                                }
+                                                                {
+                                                                    index < publication.author.split(', ').length - 1 && (
+                                                                        <span>,&nbsp;</span>
+                                                                    )
+                                                                }
+                                                            </div>
+                                                        );
+                                                    })
                                                 }
                                             </span>
                                         </div>
@@ -161,7 +164,7 @@ export default function Home() {
 
                                         {
                                             publication.description && (
-                                                <i className="text-sm text-o-gray">
+                                                <i className="text-sm text-o-gray whitespace-pre-line">
                                                     {publication.description}
                                                 </i>
                                             )

data/publications.tsx

@@ -105,6 +105,28 @@ export const publications: {
         description: "DetAny3D is a promptable 3D detection foundation model that leverages 2D foundation knowledge to enable zero-shot 3D object detection from monocular images across novel categories and camera settings.",
         keys: ['cv_at_scale'],
     },
+    {
+        title: "SimScale: Learning to Drive via Real-World Simulation at Scale",
+        link: "https://arxiv.org/pdf/2511.23369",
+        image: "/assets/publication/SimScale.png",
+        author: "Haochen Tian, Tianyu Li, Haochen Liu, Jiazhi Yang, Yihang Qiu, Guang Li, Junli Wang, Yinfeng Gao, Zhang Zhang, Liang Wang, Hangjun Ye, Tieniu Tan, Long Chen, Hongyang Li",
+        note: "arXiv 2025",
+        noteoption: '',
+        star: "https://img.shields.io/github/stars/OpenDriveLab/SimScale?style=social",
+        starlink: "https://github.com/OpenDriveLab/SimScale",
+        icon: [
+            {
+                type: "page",
+                link: "https://opendrivelab.com/SimScale/",
+            },
+            {
+                type: "github",
+                link: "https://github.com/OpenDriveLab/SimScale",
+            },
+        ],
+        description: `🏗️ A scalable simulation pipeline that synthesizes diverse and high-fidelity reactive driving scenarios with pseudo-expert.\n🚀 An effective sim-real co-training strategy that improves robustness and generalization across end-to-end planners.\n🔬 A comprehensive recipe that reveals crucial insights into the underlying scaling properties of sim-real learning systems.`,
+        keys: ['end_to_end_ad'],
+    },
     {
         title: "Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving",
         link: "https://arxiv.org/abs/2506.09800",