Zilin Huang

Orcid: 0000-0003-3754-4821

According to our database1, Zilin Huang authored at least 33 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2025
EvaDrive: Evolutionary Adversarial Policy Optimization for End-to-End Autonomous Driving.
CoRR, August, 2025

SafePLUG: Empowering Multimodal LLMs with Pixel-Level Insight and Temporal Grounding for Traffic Accident Understanding.
CoRR, August, 2025

Iterative-Weighted Thresholding Method for Group-Sparsity-Constrained Optimization With Applications.
IEEE Trans. Neural Networks Learn. Syst., June, 2025

A Survey on Vision-Language-Action Models for Autonomous Driving.
CoRR, June, 2025

V2X-REALM: Vision-Language Model-Based Robust End-to-End Cooperative Autonomous Driving with Adaptive Long-Tail Modeling.
CoRR, June, 2025

VL-SAFE: Vision-Language Guided Safety-Aware Reinforcement Learning with World Models for Autonomous Driving.
CoRR, May, 2025

AgentThink: A Unified Framework for Tool-Augmented Chain-of-Thought Reasoning in Vision-Language Models for Autonomous Driving.
CoRR, May, 2025

IDU-Detector: A Synergistic Framework for Robust Masquerader Attack Detection.
IEEE Internet Things J., April, 2025

Sky-Drive: A Distributed Multi-Agent Simulation Platform for Socially-Aware and Human-AI Collaborative Future Transportation.
CoRR, April, 2025

FASIONAD++ : Integrating High-Level Instruction and Information Bottleneck in FAt-Slow fusION Systems for Enhanced Safety in Autonomous Driving with Adaptive Feedback.
CoRR, March, 2025

CurricuVLM: Towards Safe Autonomous Driving via Personalized Safety-Critical Curriculum Learning with Vision-Language Models.
CoRR, February, 2025

Personalizing Driver Agent Using Large Language Models for Driving Safety and Smarter Human-Machine Interactions.
IEEE Intell. Transp. Syst. Mag., 2025

Talk2Traffic: Interactive and Editable Traffic Scenario Generation for Autonomous Driving with Multimodal Large Language Model.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024
Exploring Driving Behavior for Autonomous Vehicles Based on Gramian Angular Field Vision Transformer.
IEEE Trans. Intell. Transp. Syst., November, 2024

Ego-planning-guided multi-graph convolutional network for heterogeneous agent trajectory prediction.
Comput. Aided Civ. Infrastructure Eng., November, 2024

Toward C-V2X Enabled Connected Transportation System: RSU-Based Cooperative Localization Framework for Autonomous Vehicles.
IEEE Trans. Intell. Transp. Syst., October, 2024

VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving.
CoRR, 2024

FollowGen: A Scaled Noise Conditional Diffusion Model for Car-Following Trajectory Prediction.
CoRR, 2024

Towards 3D Semantic Scene Completion for Autonomous Driving: A Meta-Learning Framework Empowered by Deformable Large-Kernel Attention and Mamba Model.
CoRR, 2024

TabSec: A Collaborative Framework for Novel Insider Threat Detection.
CoRR, 2024

Trustworthy Human-AI Collaboration: Reinforcement Learning with Human Feedback and Physics Knowledge for Safe Autonomous Driving.
CoRR, 2024

Traffic expertise meets residual RL: Knowledge-informed model-based residual reinforcement learning for CAV trajectory control.
CoRR, 2024

V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision-Language Models.
CoRR, 2024

Human as AI Mentor: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driving.
CoRR, 2024

TabSec: A Collaborative Framework for Novel Insider Threat Detection.
Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2024

2023
Dynamic adaptive generative adversarial networks with multi-view temporal factorizations for hybrid recovery of missing traffic data.
Neural Comput. Appl., April, 2023

CV2X-LOCA: Roadside Unit-Enabled Cooperative Localization Framework for Autonomous Vehicles.
CoRR, 2023

EPG-MGCN: Ego-Planning Guided Multi-Graph Convolutional Network for Heterogeneous Agent Trajectory Prediction.
CoRR, 2023

Understanding Avoidance Behaviors of Users for Conversational AI.
Proceedings of the Distributed, Ambient and Pervasive Interactions, 2023

2022
ST-CRMF: Compensated Residual Matrix Factorization with Spatial-Temporal Regularization for Graph-Based Time Series Forecasting.
Sensors, 2022

Deep spatial-temporal bi-directional residual optimisation based on tensor decomposition for traffic data imputation on urban road network.
Appl. Intell., 2022

2020
Multi-Stage Pedestrian Positioning Using Filtered WiFi Scanner Data in an Urban Road Environment.
Sensors, 2020

2019
Imputation Methods Used in Missing Traffic Data: A Literature Review.
Proceedings of the Artificial Intelligence Algorithms and Applications, 2019


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