Chengzhong Xu
18 papers · 2021–2026 · 7 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (33) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver ⚡ Prolific Year · Prolific
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Century Club · Bronze
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Research topics
Artificial Intelligence
(11)
Core AI
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Machine Learning
(10)
Computer Vision
(7)
Deep Learning
(6)
Domain-Specific
(6)
Application Areas
(5)
Learning Types · Machine Learning
(5)
Natural Language Processing
(4)
Resources & Methods
(4)
Optimization & Theory
(3)
Techniques
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Analysis
(2)
Architectures
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Learning Types · Deep Learning
(2)
Keywords
autonomous driving
(6)
trajectory prediction
(4)
large language model
(3)
semantic segmentation
(2)
knowledge distillation
(2)
attention mechanism
(2)
domain adaptation
(2)
noise stability
(2)
autonomous vehicle
(2)
behavior modeling
(2)
adversarial learning
(1)
scene understanding
(1)
model-based learning
(1)
causal inference
(1)
robot navigation
(1)
representation learning
(1)
point cloud
(1)
adversarial robustness
(1)
depth estimation
(1)
chain-of-thought reasoning
(1)
Papers
E3AD: An Emotion-Aware Vision-Language-Action Model for Human-Centric End-to-End Autonomous Driving
CVPR 2026
NeuPAN: Direct Point Robot Navigation with End-to-End Model-Based Learning (Abstract Reprint)
AAAI 2026
Think Before You Drive: World Model-Inspired Multimodal Grounding
CVPR 2026
ALOcc: Adaptive Lifting-Based 3D Semantic Occupancy and Cost Volume-Based Flow Predictions
ICCV 2025
Beyond Patterns: Harnessing Causal Logic for Autonomous Driving Trajectory Prediction
IJCAI 2025
BHViT: Binarized Hybrid Vision Transformer
CVPR 2025
BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving
AAAI 2024
Deep Active Learning with Noise Stability
AAAI 2024
DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation
AAAI 2024
DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object Detection
AAAI 2024
HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
NeurIPS 2024
Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization
AAAI 2024
LightVLP: A Lightweight Vision-Language Pre-training via Gated Interactive Masked AutoEncoders
COLING 2024
MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving
IJCAI 2024
Physics-Informed Trajectory Prediction for Autonomous Driving under Missing Observation
IJCAI 2024
Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models through Intervention without Tuning
AAAI 2024
CrackFormer: Transformer Network for Fine-Grained Crack Detection
ICCV 2021
Noise Stability Regularization for Improving BERT Fine-tuning
NAACL 2021