tasl-lab
diff --git a/‎_cite/.cache/cache.db
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diff --git a/‎_data/citations.yaml
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diff --git a/‎_data/research.yaml
+117-57 b/‎_data/research.yaml
+117-57
diff --git a/‎_data/sources.yaml
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diff --git a/‎index.md
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diff --git a/‎publications/index.md
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diff --git a/‎research_images/context_relation.png
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diff --git a/‎research_images/continual_learning.png
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diff --git a/‎research_images/human_motion.png
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@@ -492,6 +492,7 @@
   tags:
   - Autonomous Driving
   - Semi-Supervised Learning
+  - Relational Reasoning
   plugin: sources.py
   file: sources.yaml
 - title: 'Grouptron: Dynamic Multi-Scale Graph Convolutional Networks for Group-Aware
@@ -514,6 +515,7 @@
   tags:
   - Graph Neural Networks
   - Trajectory Prediction
+  - Relational Reasoning
   plugin: sources.py
   file: sources.yaml
 - title: Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments
@@ -596,6 +598,7 @@
   tags:
   - Trajectory Prediction
   - Reinforcement Learning
+  - Relational Reasoning
   plugin: sources.py
   file: sources.yaml
 - title: 'LOKI: Long Term and Key Intentions for Trajectory Prediction'
@@ -664,6 +667,7 @@
   - Multi-Agent/Robot Systems
   - Trajectory Prediction
   - Multi-Object Tracking
+  - Relational Reasoning
   plugin: sources.py
   file: sources.yaml
 - title: Continual Multi-agent Interaction Behavior Prediction with Conditional Generative
@@ -732,6 +736,7 @@
   tags:
   - Graph Neural Networks
   - Trajectory Prediction
+  - Relational Reasoning
   plugin: sources.py
   file: sources.yaml
 - title: Multi-agent Driving Behavior Prediction across Different Scenarios with Self-supervised
@@ -755,6 +760,7 @@
   - Trajectory Prediction
   - Generalization
   - Multi-Agent/Robot Systems
+  - Relational Reasoning
   plugin: sources.py
   file: sources.yaml
 - title: 'Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art,
 
@@ -475,6 +475,7 @@
   tags:
     - Autonomous Driving
     - Semi-Supervised Learning
+    - Relational Reasoning
 
 - title: "Grouptron: Dynamic Multi-Scale Graph Convolutional Networks for Group-Aware Dense Crowd Trajectory Forecasting"
   authors:
@@ -496,6 +497,7 @@
   tags:
     - Graph Neural Networks
     - Trajectory Prediction
+    - Relational Reasoning
 
 - title: "Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments"
   authors:
@@ -578,6 +580,7 @@
   tags:
     - Trajectory Prediction
     - Reinforcement Learning
+    - Relational Reasoning
 
 - title: "LOKI: Long Term and Key Intentions for Trajectory Prediction"
   authors:
@@ -644,6 +647,7 @@
     - Multi-Agent/Robot Systems
     - Trajectory Prediction
     - Multi-Object Tracking
+    - Relational Reasoning
 
 - title: "Continual Multi-agent Interaction Behavior Prediction with Conditional Generative Memory"
   authors:
@@ -710,6 +714,7 @@
   tags:
     - Graph Neural Networks
     - Trajectory Prediction
+    - Relational Reasoning
 
 - title: "Multi-agent Driving Behavior Prediction across Different Scenarios with Self-supervised Domain Knowledge"
   authors:
@@ -732,6 +737,7 @@
     - Trajectory Prediction
     - Generalization
     - Multi-Agent/Robot Systems
+    - Relational Reasoning
 
 
 - title: "Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlooks"
 
@@ -11,7 +11,7 @@ The ultimate goal of our research is to build **trustworthy**, **interactive**,
 {%
   include button.html
   link="research"
-  text="See our research projects"
+  text="See our featured topics"
   icon="fa-solid fa-arrow-right"
   flip=true
   style="bare"
 
@@ -6,7 +6,7 @@ nav:
 
 # {% include icon.html icon="fa-solid fa-pen-fancy" %}Publications
 
-Please refer to Prof. Jiachen Li's [Google Scholar](https://scholar.google.com/citations?user=1_f79vUAAAAJ&hl) for a complete list of publications.
+**Please refer to Prof. Jiachen Li's [Google Scholar](https://scholar.google.com/citations?user=1_f79vUAAAAJ&hl) for a complete list of publications.**
 
 {% include tags.html tags="Social Navigation, Autonomous Driving, Human-Robot Interaction/Collaboration, Embodied AI, Foundation Models, Vision-Language, Multi-Agent/Robot Systems, Reinforcement Learning, Graph Neural Networks, Generative Models, Relational Reasoning, Safety, Generalization/Robustness, Uncertainty Quantification, Explainability/Interpretability, Meta Learning, Trajectory Prediction, Occupancy Prediction, Human Intention/Motion Prediction, Multi-Object Tracking" %}