Zhenning Li

Orcid: 0000-0002-0877-6829

According to our database1, Zhenning Li authored at least 57 papers between 2019 and 2025.

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

Timeline

Legend:

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Bibliography

2025
MapKD: Unlocking Prior Knowledge with Cross-Modal Distillation for Efficient Online HD Map Construction.
CoRR, August, 2025

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving.
CoRR, July, 2025

Domain-Enhanced Dual-Branch Model for Efficient and Interpretable Accident Anticipation.
CoRR, July, 2025

Eyes on the Road, Mind Beyond Vision: Context-Aware Multi-modal Enhanced Risk Anticipation.
CoRR, July, 2025

AMD: Adaptive Momentum and Decoupled Contrastive Learning Framework for Robust Long-Tail Trajectory Prediction.
CoRR, July, 2025

Minds on the Move: Decoding Trajectory Prediction in Autonomous Driving With Cognitive Insights.
IEEE Trans. Intell. Transp. Syst., May, 2025

SAH-Drive: A Scenario-Aware Hybrid Planner for Closed-Loop Vehicle Trajectory Generation.
CoRR, May, 2025

Towards Human-Like Trajectory Prediction for Autonomous Driving: A Behavior-Centric Approach.
CoRR, May, 2025

WAKE: Towards Robust and Physically Feasible Trajectory Prediction for Autonomous Vehicles With WAvelet and KinEmatics Synergy.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2025

LATTE: Lightweight Attention-based Traffic Accident Anticipation Engine.
CoRR, April, 2025

Secure Observer-Based Collision-Free Control for Autonomous Vehicles Under Non-Gaussian Noises.
IEEE Trans. Ind. Informatics, March, 2025

SafeCast: Risk-Responsive Motion Forecasting for Autonomous Vehicles.
CoRR, March, 2025

CoT-Drive: Efficient Motion Forecasting for Autonomous Driving with LLMs and Chain-of-Thought Prompting.
CoRR, March, 2025

SA-TP$^{2}$: A Safety-Aware Trajectory Prediction and Planning Model for Autonomous Driving.
IEEE Trans. Robotics, 2025

Toward Human-Like Trajectory Prediction for Autonomous Driving: A Behavior-Centric Approach.
Transp. Sci., 2025

LATTE: A Real-time Lightweight Attention-based Traffic Accident Anticipation Engine.
Inf. Fusion, 2025

DEMO: A Dynamics-Enhanced Learning Model for multi-horizon trajectory prediction in autonomous vehicles.
Inf. Fusion, 2025

SafeCast: Risk-responsive motion forecasting for autonomous vehicles.
AI Open, 2025

Alternating interaction fusion of Image-Point cloud for Multi-Modal 3D object detection.
Adv. Eng. Informatics, 2025

Beyond Patterns: Harnessing Causal Logic for Autonomous Driving Trajectory Prediction.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

DRIVE: Dependable Robust Interpretable Visionary Ensemble Framework in Autonomous Driving.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025

NEST: A Neuromodulated Small-world Hypergraph Trajectory Prediction Model for Autonomous Driving.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
L-TLA: A Lightweight Driver Distraction Detection Method Based on Three-Level Attention Mechanisms.
IEEE Trans. Reliab., December, 2024

A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving.
IEEE Trans. Intell. Veh., April, 2024

Context-aware trajectory prediction for autonomous driving in heterogeneous environments.
Comput. Aided Civ. Infrastructure Eng., January, 2024

Real-time Accident Anticipation for Autonomous Driving Through Monocular Depth-Enhanced 3D Modeling.
CoRR, 2024

Multi-level Traffic-Responsive Tilt Camera Surveillance through Predictive Correlated Online Learning.
CoRR, 2024

When, Where, and What? A Novel Benchmark for Accident Anticipation and Localization with Large Language Models.
CoRR, 2024

Digital Twin-based Driver Risk-Aware Intelligent Mobility Analytics for Urban Transportation Management.
CoRR, 2024

Human-Machine Shared Control Approach for the Takeover of Cooperative Adaptive Cruise Control.
CoRR, 2024

Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction.
CoRR, 2024

Traffic Prediction considering Multiple Levels of Spatial-temporal Information: A Multi-scale Graph Wavelet-based Approach.
CoRR, 2024

Space Domain based Ecological Cooperative and Adaptive Cruise Control on Rolling Terrain.
CoRR, 2024

Accelerating the Evolution of Personalized Automated Lane Change through Lesson Learning.
CoRR, 2024

Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving.
CoRR, 2024

A Cognitive-Driven Trajectory Prediction Model for Autonomous Driving in Mixed Autonomy Environment.
CoRR, 2024

World Models for Autonomous Driving: An Initial Survey.
CoRR, 2024

Trajectory Prediction for Autonomous Driving Using a Transformer Network.
CoRR, 2024

CRASH: Crash Recognition and Anticipation System Harnessing with Context-Aware and Temporal Focus Attentions.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

When, Where, and What? A Benchmark for Accident Anticipation and Localization with Large Language Models.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Informed Along the Road: Roadway Capacity Driven Graph Convolution Network for Network-Wide Traffic Prediction.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

Physics-Informed Trajectory Prediction for Autonomous Driving under Missing Observation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

A Cognitive-Driven Trajectory Prediction Model for Autonomous Driving in Mixed Autonomy Environments.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

CDSTraj: Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Human Observation-Inspired Trajectory Prediction for Autonomous Driving in Mixed-Autonomy Traffic Environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Lane Change Strategies for Autonomous Vehicles: A Deep Reinforcement Learning Approach Based on Transformer.
IEEE Trans. Intell. Veh., March, 2023

BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving.
CoRR, 2023

GPT-4 Enhanced Multimodal Grounding for Autonomous Driving: Leveraging Cross-Modal Attention with Large Language Models.
CoRR, 2023

2022
An Intelligent Train Operation Method Based on Event-Driven Deep Reinforcement Learning.
IEEE Trans. Ind. Informatics, 2022

Sparse online kernelized actor-critic Learning in reproducing kernel Hilbert space.
Artif. Intell. Rev., 2022

2021
A Deep Reinforcement Learning Approach for Traffic Signal Control Optimization.
CoRR, 2021

Network-wide traffic signal control optimization using a multi-agent deep reinforcement learning.
CoRR, 2021

2020
Extracting and Predicting Taxi Hotspots in Spatiotemporal Dimensions Using Conditional Generative Adversarial Neural Networks.
IEEE Trans. Veh. Technol., 2020

2019
Taxi-Based Mobility Demand Formulation and Prediction Using Conditional Generative Adversarial Network-Driven Learning Approaches.
IEEE Trans. Intell. Transp. Syst., 2019


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