Zhenning Li
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Known people with the same name:
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
Beyond Patterns: Harnessing Causal Logic for Autonomous Driving Trajectory Prediction.
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
CoRR, April, 2025
Secure Observer-Based Collision-Free Control for Autonomous Vehicles Under Non-Gaussian Noises.
IEEE Trans. Ind. Informatics, March, 2025
CoRR, March, 2025
CoT-Drive: Efficient Motion Forecasting for Autonomous Driving with LLMs and Chain-of-Thought Prompting.
CoRR, March, 2025
Toward Human-Like Trajectory Prediction for Autonomous Driving: A Behavior-Centric Approach.
Transp. Sci., 2025
A novel reinforcement learning agent for rotating machinery fault diagnosis with data augmentation.
Reliab. Eng. Syst. Saf., 2025
Inf. Fusion, 2025
DEMO: A Dynamics-Enhanced Learning Model for multi-horizon trajectory prediction in autonomous vehicles.
Inf. Fusion, 2025
A convolutional-transformer reinforcement learning agent for rotating machinery fault diagnosis.
Expert Syst. Appl., 2025
Alternating interaction fusion of Image-Point cloud for Multi-Modal 3D object detection.
Adv. Eng. Informatics, 2025
Spatio-Temporal Reinforcement Learning for Aero-Engine Remaining Useful Life Prediction.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2025
Proceedings of the IEEE International Conference on Prognostics and Health Management, 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 Broadband Information Metasurface-Assisted Target Jamming System for Synthetic Aperture Radar.
Remote. Sens., May, 2024
IEEE Trans. Intell. Veh., April, 2024
A Novel Chaotic-NLFM Signal under Low Oversampling Factors for Deception Jamming Suppression.
Remote. Sens., January, 2024
Context-aware trajectory prediction for autonomous driving in heterogeneous environments.
Comput. Aided Civ. Infrastructure Eng., January, 2024
DRIVE: Dependable Robust Interpretable Visionary Ensemble Framework in Autonomous Driving.
CoRR, 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
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
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
A Kind of Broadband Target Jammer of Syntheic Aperture Radar Based on Information Metasurface.
Proceedings of the IGARSS 2024, 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
A Study on the Construction of Hierarchical Multi-Label Datasets in Middle School Mathematics.
Proceedings of the 2024 4th International Conference on Big Data, 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
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
A Phase-Shift-Modulated Resonant Two-Switch Boosting Switched-Capacitor Converter and Its Modulation Map.
IEEE Trans. Ind. Electron., August, 2023
Lane Change Strategies for Autonomous Vehicles: A Deep Reinforcement Learning Approach Based on Transformer.
IEEE Trans. Intell. Veh., March, 2023
CoRR, 2023
GPT-4 Enhanced Multimodal Grounding for Autonomous Driving: Leveraging Cross-Modal Attention with Large Language Models.
CoRR, 2023
Fault diagnosis of rolling bearing using a transfer ensemble deep reinforcement learning method.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2023
2022
An Intelligent Train Operation Method Based on Event-Driven Deep Reinforcement Learning.
IEEE Trans. Ind. Informatics, 2022
An integrated deep multiscale feature fusion network for aeroengine remaining useful life prediction with multisensor data.
Knowl. Based Syst., 2022
Artif. Intell. Rev., 2022
Proceedings of the 2022 IEEE International Conference on Prognostics and Health Management, 2022
2021
A Comparison of Supervised and Unsupervised Deep Learning Methods for Anomaly Detection in Images.
CoRR, 2021
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
Analysis and Design of a Modified Triple-mode Resonant Switched-capacitor Converter with Hybrid Modulation Scheme.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020
Ladder Multi-resonant Switched-capacitor Converters with Extended Voltage Gain Range.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020
2019
Taxi-Based Mobility Demand Formulation and Prediction Using Conditional Generative Adversarial Network-Driven Learning Approaches.
IEEE Trans. Intell. Transp. Syst., 2019
Tube-fin Heat Exchanger Circuitry Optimization For Improved Performance Under Frosting Conditions.
Proceedings of the 13th International Modelica Conference, Regensburg, Germany, 2019
2011
Local Shape Context Based Real-time Endpoint Body Part Detection and Identification from Depth Images.
Proceedings of the Canadian Conference on Computer and Robot Vision, 2011
2010
A stereo camera based full body human motion capture system using a partitioned particle filter.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010
Proceedings of the 11th International Conference on Control, 2010
2008
Proceedings of the MSN 2008, 2008