Yantao Lu
Orcid: 0000-0002-3103-1067
According to our database1,
Yantao Lu
authored at least 27 papers
between 2013 and 2024.
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Bibliography
2024
Wirel. Networks, August, 2024
Global-and-Local Attention-Based Reinforcement Learning for Cooperative Behaviour Control of Multiple UAVs.
IEEE Trans. Veh. Technol., March, 2024
Time-aware and task-transferable adversarial attack for perception of autonomous vehicles.
Pattern Recognit. Lett., 2024
CrossPrune: Cooperative pruning for camera-LiDAR fused perception models of autonomous driving.
Knowl. Based Syst., 2024
Attentional Feature Erase: Towards task-wise transferable adversarial attack on cloud vision APIs.
Displays, 2024
2023
Work-in-Progress: Time-Aware Formation Control of Connected and Automated Vehicle Platoon Based on Weighted Graph Theory.
Proceedings of the IEEE Real-Time Systems Symposium, 2023
2022
BioKnowPrompt: Incorporating imprecise knowledge into prompt-tuning verbalizer with biomedical text for relation extraction.
Inf. Sci., 2022
2021
RAANet: Range-Aware Attention Network for LiDAR-based 3D Object Detection with Auxiliary Density Level Estimation.
CoRR, 2021
Proceedings of the 30th USENIX Security Symposium, 2021
Fabricate-Vanish: An Effective And Transferable Black-Box Adversarial Attack Incorporating Feature Distortion.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Weighted Average Precision: Adversarial Example Detection for Visual Perception Of Autonomous Vehicles.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
2020
An Effective Adversarial Attack on Person Re-Identification in Video Surveillance via Dispersion Reduction.
IEEE Access, 2020
Simultaneous and Spatiotemporal Detection of Different Levels of Activity in Multidimensional Data.
IEEE Access, 2020
Fooling Detection Alone is Not Enough: Adversarial Attack against Multiple Object Tracking.
Proceedings of the 8th International Conference on Learning Representations, 2020
Enhancing Cross-Task Black-Box Transferability of Adversarial Examples With Dispersion Reduction.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Autonomous Human Activity Classification from Ego-vision Camera and Accelerometer Data.
CoRR, 2019
Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object Tracking.
CoRR, 2019
Enhancing Cross-task Transferability of Adversarial Examples with Dispersion Reduction.
CoRR, 2019
Autonomous Choice of Deep Neural Network Parameters by a Modified Generative Adversarial Network.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Efficient Human Activity Classification from Egocentric Videos Incorporating Actor-Critic Reinforcement Learning.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
2018
Autonomously and Simultaneously Refining Deep Neural Network Parameters by a Bi-Generative Adversarial Network Aided Genetic Algorithm.
CoRR, 2018
Autonomously and Simultaneously Refining Deep Neural Network Parameters by Generative Adversarial Networks.
CoRR, 2018
Human Activity Classification Incorporating Egocentric Video and Inertial Measurement Unit Data.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018
2017
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017
2016
Robust footstep counting and traveled distance calculation by mobile phones incorporating camera geometry.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
2013
Cluster analysis based on attractor particle swarm optimization with boundary zoomed for working conditions classification of power plant pulverizing system.
Neurocomputing, 2013