-
Abstract
+
Abstract
In recent years, multimodal large models and World Models have witnessed rapid advancements. Among them, World Models—with their ability to infer physical laws and predict dynamic environments—are widely regarded as a critical technological pathway toward Physical AI and embodied intelligence.
@@ -589,15 +589,15 @@
Program Schedule
| 16:00 - 16:30 |
- Coming soon |
+ Ping Luo (The University of Hong Kong) |
| 16:35 - 17:05 |
- Liwei Wang (The Chinese University of Hong Kong) |
+ Long Chen (The Hong Kong University of Science and Technology) |
| 17:10 - 18:00 |
- Coming soon |
+ Liwei Wang (The Chinese University of Hong Kong) |
| 18:00 - 18:15 |
From e6fca7b28d21989a2c48e13dc0b6b7e93fb69edb Mon Sep 17 00:00:00 2001
From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com>
Date: Sat, 1 Aug 2026 01:18:34 +0000
Subject: [PATCH 2/2] Update symposium2026 August 16 afternoon speakers
---
symposium2026/index.html | 76 ++++++++++++++++++++--------------------
1 file changed, 38 insertions(+), 38 deletions(-)
diff --git a/symposium2026/index.html b/symposium2026/index.html
index 087bdd5..50db81d 100755
--- a/symposium2026/index.html
+++ b/symposium2026/index.html
@@ -65,7 +65,7 @@
}
.hero-panel {
- background-color: rgba(0, 0, 0, 0);
+ background-color: rgba(0, 0, 0, 0);
border-radius: 8px;
}
@@ -189,7 +189,7 @@
max-width: 560px;
margin: 0 auto;
padding: 22px 16px;
- background-color: rgba(0, 0, 0, 0.15);
+ background-color: rgba(0, 0, 0, 0.15);
box-shadow: 0 8px 28px rgba(0, 0, 0, 0.28);
}
@@ -324,36 +324,36 @@
font-size: 27px;
}
}
- .registration-button {
- display: inline-block;
- padding: 10px 20px;
- border-radius: 5px;
- background-color: #28a745;
- color: #fff;
- font-weight: 700;
- line-height: 1.2;
- text-decoration: none;
- transition: background-color 0.2s ease;
- }
-
- .registration-button:hover,
- .registration-button:focus {
- background-color: #1e7e34;
- color: #fff;
- text-decoration: none;
- }
-
- .registration-cta-row {
- margin-top: 18px;
- text-align: left;
- }
-
- @media (max-width: 767px) {
- .registration-cta-row .registration-button {
- padding: 8px 12px;
- font-size: 14px;
- }
- }
+ .registration-button {
+ display: inline-block;
+ padding: 10px 20px;
+ border-radius: 5px;
+ background-color: #28a745;
+ color: #fff;
+ font-weight: 700;
+ line-height: 1.2;
+ text-decoration: none;
+ transition: background-color 0.2s ease;
+ }
+
+ .registration-button:hover,
+ .registration-button:focus {
+ background-color: #1e7e34;
+ color: #fff;
+ text-decoration: none;
+ }
+
+ .registration-cta-row {
+ margin-top: 18px;
+ text-align: left;
+ }
+
+ @media (max-width: 767px) {
+ .registration-cta-row .registration-button {
+ padding: 8px 12px;
+ font-size: 14px;
+ }
+ }
@@ -411,7 +411,7 @@
- Registration
+ Registration
@@ -436,10 +436,10 @@ Multi-Modal and World Model Symposium 2026
Hosted by LaVi Lab, Department of Computer Science and Engineering, The Chinese University of Hong Kong (CUHK), the two-day symposium will feature multiple keynote talks, invited presentations, and panel discussions from a distinguished lineup of internationally recognized scholars spanning computer vision, machine learning, multimodal AI, and embodied intelligence. By bringing together experts from diverse yet closely connected research areas, the symposium aims to provide a high-impact platform for exploring cutting-edge developments and emerging trends in next-generation AI.
Join us at CUHK to gain insights from world-class researchers and engage with the latest progress shaping the future of multimodal intelligence and World Models.
-
-
+
+
@@ -452,7 +452,7 @@ Multi-Modal and World Model Symposium 2026
-
Abstract
+
Abstract
In recent years, multimodal large models and World Models have witnessed rapid advancements. Among them, World Models—with their ability to infer physical laws and predict dynamic environments—are widely regarded as a critical technological pathway toward Physical AI and embodied intelligence.