Chen Lv

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
MoTVLA: A Vision-Language-Action Model with Unified Fast-Slow Reasoning.
CoRR, October, 2025

DecompGAIL: Learning Realistic Traffic Behaviors with Decomposed Multi-Agent Generative Adversarial Imitation Learning.
CoRR, October, 2025

Self-supervised Pretraining for Integrated Prediction and Planning of Automated Vehicles.
CoRR, July, 2025

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving.
CoRR, June, 2025

iPad: Iterative Proposal-centric End-to-End Autonomous Driving.
CoRR, May, 2025

Crafting Physical Adversarial Examples by Combining Differentiable and Physically Based Renders.
CoRR, May, 2025

POMATO: Marrying Pointmap Matching with Temporal Motion for Dynamic 3D Reconstruction.
CoRR, April, 2025

Amery Ice Shelf Grounding Line Datapoints Automated Extraction From Airborne Ice-Penetrating Radar.
IEEE Trans. Geosci. Remote. Sens., 2025

Automated Prediction of Gamburtsev Subglacial Lakes in East Antarctica With Optimized Stacking Ensemble Learning.
IEEE Trans. Geosci. Remote. Sens., 2025

Estimation of lower limb rehabilitation exoskeleton torque by combining dual-joint parameter identification and neural network.
Robotics Auton. Syst., 2025

4K-HAZE: A dehazing benchmark with 4K resolution hazy and haze-free images.
Neurocomputing, 2025

Unveiling a novel cancer hallmark by evaluation of neural infiltration in cancer.
Briefings Bioinform., 2025

Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-Tuning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025

2024
An Integrated LSTM-Rule-Based Fusion Method for the Localization of Intelligent Vehicles in a Complex Environment.
Sensors, June, 2024

Using full-scale feature fusion for self-supervised indoor depth estimation.
Multim. Tools Appl., March, 2024

Impact of user engagement on virtual reality behavioral response from the human-computer interaction perspective toward a service context: A hybrid statistics and machine learning approach.
Expert Syst. Appl., 2024

WiseAD: Knowledge Augmented End-to-End Autonomous Driving with Vision-Language Model.
CoRR, 2024

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles.
CoRR, 2024

Versatile Scene-Consistent Traffic Scenario Generation as Optimization with Diffusion.
CoRR, 2024

Strategic guidance of carbon emission reduction in industrial parks based on dynamic evolution game.
Comput. Electr. Eng., 2024

Model-Based Design of an Active Suspension for the Improvement of In-Wheel Motor Drive Electric Vehicle.
IEEE Access, 2024

Imitation Learning Control Strategy Based on Probabilistic Motor primitive for Upper Limb Rehabilitation Training.
Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 2024

Prediction of Lower Limb Exoskeleton Gait Trajectories Based on Plantar Pressure Information.
Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 2024

Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous Driving.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Multi-Modal Motion Prediction with Group-Wise Modal Assignment Transformer for Autonomous Driving.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
FPattNet: A Multi-Scale Feature Fusion Network with Occlusion Awareness for Depth Estimation of Light Field Images.
Sensors, September, 2023

Takeover quality prediction based on driver physiological state of different cognitive tasks in conditionally automated driving.
Adv. Eng. Informatics, August, 2023

Evolving Testing Scenario Generation Method and Intelligence Evaluation Framework for Automated Vehicles.
CoRR, 2023

KSRE-CNER: A Knowledge and Semantic Relation Enhancement Framework for Chinese NER.
Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023

Designing Human-machine Collaboration Interface Through Multimodal Combination Optimization to Improve Takeover Performance in Highly Automated Driving.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

Occupancy Prediction-Guided Neural Planner for Autonomous Driving.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

Multi-modal Hierarchical Transformer for Occupancy Flow Field Prediction in Autonomous Driving.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Novel Human-Machine Collaboration Approach for Autonomous Driving with Hand Gesture-based Guidance.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2023

2022
Vision-Based Human Activity Recognition - Artificial Intelligence, Multiagent Systems, and Cognitive Robotics
Springer Briefs in Intelligent Systems, Springer, ISBN: 978-981-19-2289-3, 2022

Grid-based lane identification with roadside LiDAR data.
Int. J. Sens. Networks, 2022

Human-Machine Telecollaboration Accelerates the Safe Deployment of Large-Scale Autonomous Robots During the COVID-19 Pandemic.
Frontiers Robotics AI, 2022

Conditional Predictive Behavior Planning with Inverse Reinforcement Learning for Human-like Autonomous Driving.
CoRR, 2022

Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving.
CoRR, 2022

STrajNet: Occupancy Flow Prediction via Multi-modal Swin Transformer.
CoRR, 2022

Differentiable Integrated Motion Prediction and Planning with Learnable Cost Function for Autonomous Driving.
CoRR, 2022

Single UHD Image Dehazing via Interpretable Pyramid Network.
CoRR, 2022

Improved Deep Reinforcement Learning with Expert Demonstrations for Urban Autonomous Driving.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Stochastic Multimodal Interaction Prediction for Urban Driving.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

ReCoAt: A Deep Learning-based Framework for Multi-Modal Motion Prediction in Autonomous Driving Application.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

LA-vIOMMU: An Efficient Hardware-Software Co-design of IOMMU Virtualization.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2022

Multi-modal Motion Prediction with Transformer-based Neural Network for Autonomous Driving.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Uncertainty-Aware Model-Based Reinforcement Learning with Application to Autonomous Driving.
CoRR, 2021

Efficient Deep Reinforcement Learning with Imitative Expert Priors for Autonomous Driving.
CoRR, 2021

A Secure Sensor Fusion Framework for Connected and Automated Vehicles under Sensor Attacks.
CoRR, 2021

Secure Estimation and Attack Isolation for Connected and Automated Driving in the Presence of Malicious Vehicles.
CoRR, 2021

Improved Deep Reinforcement Learning with Expert Demonstrations for Urban Autonomous Driving.
CoRR, 2021

2020
Modeling Human Driving Behavior in Highway Scenario using Inverse Reinforcement Learning.
CoRR, 2020

Interaction-Aware Trajectory Prediction of Connected Vehicles using CNN-LSTM Networks.
CoRR, 2020

Multi-modal Sensor Fusion-Based Deep Neural Network for End-to-end Autonomous Driving with Scene Understanding.
CoRR, 2020

Movable-Type Transfer and Stacking of van der Waals Heterostructures for Spintronics.
IEEE Access, 2020

2019
A Declarative Service-Based Method for Adaptive Aggregation of Sensor Streams.
IEEE Access, 2019

Sparse Feature Learning With Label Information for Alzheimer's Disease Classification Based on Magnetic Resonance Imaging.
IEEE Access, 2019

2018
Efficient Dynamic Evolution of Service Composition.
IEEE Trans. Serv. Comput., 2018

Nonuniformity Correction of Single Infrared Images Based on Deep Filter Neural Network.
Symmetry, 2018

2017
Multi-resolution modelling method based on time-state-machine in complex distribution network.
IET Cyper-Phys. Syst.: Theory & Appl., 2017

2016
Swarm Intelligence-based Power Allocation and Relay Selection Algorithm for wireless cooperative network.
KSII Trans. Internet Inf. Syst., 2016

2014
APISynth: a new graph-based API recommender system.
Proceedings of the 36th International Conference on Software Engineering, 2014

2013
The WHUTE System in NTCIR-10 RITE Task.
Proceedings of the 10th NTCIR Conference on Evaluation of Information Access Technologies, 2013

2012
Building a Chinese Semantic Resource Based on Feature Structure.
Int. J. Comput. Process. Orient. Lang., 2012

Semantic Labeling of Chinese Serial Verb Sentences Based on Feature Structure.
Proceedings of the Chinese Lexical Semantics - 13th Workshop, 2012

2011
The WHUTE System in NTCIR-9 RITE Task.
Proceedings of the 9th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, 2011


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