Yantao Lu

Orcid: 0000-0002-3103-1067

According to our database1, Yantao Lu authored at least 23 papers between 2013 and 2024.

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

Timeline

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Bibliography

2024
Global-and-Local Attention-Based Reinforcement Learning for Cooperative Behaviour Control of Multiple UAVs.
IEEE Trans. Veh. Technol., March, 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

Hermes Attack: Steal DNN Models with Lossless Inference Accuracy.
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
Towards Practical Lottery Ticket Hypothesis for Adversarial Training.
CoRR, 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
Human activity classification from wearable devices with cameras.
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


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