.

Author: faikit

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

@@ -157,7 +157,7 @@ export function Landing() {
                                                         landing.link.startsWith('https://mmlab.hk/research/MM-Hand') ? (
                                                             "Checkout at mmlab.hk/MM-Hand"
                                                         ) : (
-                                                            landing.link.startsWith('/SMASH/') ? (
+                                                            false ? (
                                                                 "Page"
                                                             ) : (
                                                                 "Paper"
@@ -168,7 +168,7 @@ export function Landing() {
                                             )
                                         }
                                         {
-                                            landing.icon.length != 0 && landing.icon[0].type != 'cite' && (
+                                            landing.icon.length != 0 && landing.icon[0].type != 'cite' && landing.link != '' && (
                                                 <span className="text-xs mr-3"> | </span>
                                             )
                                         }

app/(default)/(research)/AutonomousDriving/page.tsx

@@ -117,15 +117,17 @@ export default function Home() {
                                         >
                                             <Link href={publication.link} target={publication.link.startsWith('http') ? '_blank' : '_self'} className="animated-underline-gray mr-3 text-nowrap">
                                                 {
-                                                    publication.link.startsWith('http') ? (
-                                                        "Paper"
-                                                    ) : (
-                                                        "Blog"
+                                                    publication.link != '' && (
+                                                        publication.link.startsWith('http') ? (
+                                                            "Paper"
+                                                        ) : (
+                                                            "Blog"
+                                                        )
                                                     )
                                                 }
                                             </Link>
                                             {
-                                                publication.icon.length != 0 && publication.icon[0].type != 'cite' && (
+                                                publication.icon.length != 0 && publication.icon[0].type != 'cite' && publication.link != '' && (
                                                     <span className="text-xs mr-3"> | </span>
                                                 )
                                             }

components/redirect.tsx

@@ -147,6 +147,11 @@ export default function Redirect() {
     ) {
         redirect('/TAMEn/')
     }
+    if (
+        pathname.toLowerCase().startsWith('/worldengine')
+    ) {
+        redirect('/WorldEngine/')
+    }
 
     // kai
     if (

data/publications.tsx

@@ -65,6 +65,31 @@ export const publications: {
     time: string;
     timeline: string[];
 }[] = [
+    // {
+    //     title: "Towards the Era of Post-Training for Physical AI",
+    //     link: "",
+    //     image: "https://ik.imagekit.io/opendrivelab/publication/README_overall.jpg?updatedAt=1776279802611",
+    //     image_sliding: "https://ik.imagekit.io/opendrivelab/WE_sliding.jpg?updatedAt=1776279788833",
+    //     author: "Tianyu Li, Li Chen, Caojun Wang, Haochen Liu, Kashyap Chitta, Yuhang Lu, Naisheng Ye, Yufei Wang, Jiaxin Peng, Jin Pan, Zhaoyu Su, Andrei Bursuc, Shengbo Eben Li, Andreas Geiger, Honglin Bian, Hongyang Li, Peng Su",
+    //     note: "Preprint 2026",
+    //     noteoption: '',
+    //     star: "https://img.shields.io/github/stars/OpenDriveLab/WorldEngine?style=social",
+    //     starlink: "https://github.com/OpenDriveLab/WorldEngine",
+    //     icon: [
+    //         {
+    //             type: "page",
+    //             link: "/WorldEngine",
+    //         },
+    //         {
+    //             type: "github",
+    //             link: "https://github.com/OpenDriveLab/WorldEngine",
+    //         },
+    //     ],
+    //     description: "World Engine does not scale the dataset. It scales the difficulty.",
+    //     keys: ['end_to_end_ad', 'home_sliding'],
+    //     time: '2026.04.18',
+    //     timeline: ['te2e', 'highlight'],
+    // },
     {
         title: "TAMEn: Tactile-Aware Manipulation Engine for Closed-Loop Data Collection in Contact-Rich Tasks",
         link: "https://arxiv.org/abs/2604.07335",
@@ -89,7 +114,7 @@ export const publications: {
         time: '2026.04.08',
         timeline: ['tembodied'],
     },
-        {
+    {
         title: "SMASH: Mastering Scalable Whole-Body Skills for Humanoid Ping-Pong with Egocentric Vision",
         link: "https://arxiv.org/abs/2604.01158",
         image: "https://ik.imagekit.io/opendrivelab/SMASH.png",