Xiaosong Jia
17 papers · 2021–2026 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (24) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Deep Specialist
(12)
π€
Dynamic Duo
(13)
π
Keyword Champion
(6)
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
ποΈ
Keyword Collector
(75)
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Century Club Β· Bronze
Top co-authors
Research topics
Artificial Intelligence
(15)
Core AI
(15)
Computer Vision
(12)
Domain-Specific
(11)
Deep Learning
(8)
Machine Learning
(5)
Architectures
(3)
Learning Types Β· Machine Learning
(3)
Analysis
(2)
Application Areas
(2)
Core Methods
(2)
Learning Types Β· Deep Learning
(2)
Models
(2)
Interdisciplinary
(1)
Science
(1)
Keywords
autonomous driving
(8)
end-to-end autonomous driving
(6)
trajectory prediction
(5)
end-to-end learning
(3)
trajectory planning
(3)
feature alignment
(2)
vision-language model
(2)
encoder-decoder architecture
(2)
scene understanding
(1)
autoregressive generation
(1)
domain adaptation
(1)
motion planning
(1)
data augmentation
(1)
motion forecasting
(1)
self-supervised learning
(1)
domain generalization
(1)
distribution shift
(1)
behavior cloning
(1)
3d object detection
(1)
object detection
(1)
Papers
ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving
CVPR 2026
DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving
CVPR 2026
Percept-WAM: Perception-Enhanced World-Awareness-Action Model for Robust End-to-End Autonomous Driving
CVPR 2026
PointAlign: Feature-Level Alignment Regularization for 3D Vision-Language Models
CVPR 2026
Spatial Retrieval Augmented Autonomous Driving
CVPR 2026
DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving
ICLR 2025
Trajectory-LLM: A Language-based Data Generator for Trajectory Prediction in Autonomous Driving
ICLR 2025
Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving
NeurIPS 2024
Think2Drive: Efficient Reinforcement Learning by Thinking with Latent World Model for Autonomous Driving (in CARLA-v2)
ECCV 2024
DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving
ICCV 2023
Planning-Oriented Autonomous Driving
CVPR 2023
Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling
ICLR 2023
Think Twice Before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving
CVPR 2023
Learning Substructure Invariance for Out-of-Distribution Molecular Representations
NeurIPS 2022
Towards Capturing the Temporal Dynamics for Trajectory Prediction: a Coarse-to-Fine Approach
CoRL 2022
Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline
NeurIPS 2022
Multi-Agent Trajectory Prediction by Combining Egocentric and Allocentric Views
CoRL 2021