| Fooling detection alone is not enough: Adversarial attack against multiple object tracking YJ Jia, Y Lu, J Shen, QA Chen, H Chen, Z Zhong, TW Wei International Conference on Learning Representations (ICLR'20), 2020 | 131* | 2020 |
| Hermes attack: Steal {DNN} models with lossless inference accuracy Y Zhu, Y Cheng, H Zhou, Y Lu 30th USENIX Security Symposium (USENIX Security 21), 2021 | 103 | 2021 |
| Enhancing cross-task black-box transferability of adversarial examples with dispersion reduction Y Lu, Y Jia, J Wang, B Li, W Chai, L Carin, S Velipasalar Proceedings of the IEEE/CVF conference on Computer Vision and Pattern …, 2020 | 71 | 2020 |
| Global-and-local attention-based reinforcement learning for cooperative behaviour control of multiple UAVs J Chen, T Li, Y Zhang, T You, Y Lu, P Tiwari, N Kumar IEEE Transactions on Vehicular Technology, 2023 | 35 | 2023 |
| Autonomous footstep counting and traveled distance calculation by mobile devices incorporating camera and accelerometer data Y Lu, S Velipasalar IEEE Sensors Journal 17 (21), 7157-7166, 2017 | 24 | 2017 |
| Autonomous human activity classification from wearable multi-modal sensors Y Lu, S Velipasalar IEEE Sensors Journal 19 (23), 11403-11412, 2019 | 17 | 2019 |
| Towards practical lottery ticket hypothesis for adversarial training B Li, S Wang, Y Jia, Y Lu, Z Zhong, L Carin, S Jana arXiv preprint arXiv:2003.05733, 2020 | 14 | 2020 |
| An effective adversarial attack on person re-identification in video surveillance via dispersion reduction Y Zheng, Y Lu, S Velipasalar IEEE Access 8, 183891-183902, 2020 | 12 | 2020 |
| Efficient human activity classification from egocentric videos incorporating actor-critic reinforcement learning Y Lu, Y Li, S Velipasalar 2019 IEEE International Conference on Image Processing (ICIP), 564-568, 2019 | 11 | 2019 |
| BioKnowPrompt: Incorporating imprecise knowledge into prompt-tuning verbalizer with biomedical text for relation extraction Q Li, Y Wang, T You, Y Lu Information Sciences 617, 346-358, 2022 | 10 | 2022 |
| Human activity classification incorporating egocentric video and inertial measurement unit data Y Lu, S Velipasalar 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018 | 10 | 2018 |
| Cluster analysis based on attractor particle swarm optimization with boundary zoomed for working conditions classification of power plant pulverizing system H Cao, W Chen, L Jia, Y Zhang, Y Lu Neurocomputing 117, 54-63, 2013 | 9 | 2013 |
| Enhancing cross-task transferability of adversarial examples with dispersion reduction Y Jia, Y Lu, S Velipasalar, Z Zhong, T Wei arXiv preprint arXiv:1905.03333, 2019 | 8 | 2019 |
| Range-aware attention network for lidar-based 3d object detection with auxiliary point density level estimation Y Lu, X Hao, Y Li, W Chai, S Sun, S Velipasalar arXiv preprint arXiv:2111.09515, 2021 | 7 | 2021 |
| Autonomously and simultaneously refining deep neural network parameters by a bi-generative adversarial network aided genetic algorithm Y Lu, B Kakillioglu, S Velipasalar arXiv preprint arXiv:1809.10244, 2018 | 7 | 2018 |
| Simultaneous and spatiotemporal detection of different levels of activity in multidimensional data NM Sommer, S Velipasalar, L Hirshfield, Y Lu, B Kakillioglu IEEE Access 8, 118205-118218, 2020 | 6 | 2020 |
| Weighted average precision: Adversarial example detection for visual perception of autonomous vehicles W Chai, Y Lu, S Velipasalar 2021 IEEE International Conference on Image Processing (ICIP), 804-808, 2021 | 4 | 2021 |
| Human activity classification from wearable devices with cameras Y Lu, S Velipasalar 2017 51st Asilomar Conference on Signals, Systems, and Computers, 183-187, 2017 | 4 | 2017 |
| Autonomous choice of deep neural network parameters by a modified generative adversarial network Y Lu, S Velipasalar 2019 IEEE International Conference on Image Processing (ICIP), 3846-3850, 2019 | 3 | 2019 |
| Robust footstep counting and traveled distance calculation by mobile phones incorporating camera geometry Y Lu, S Velipasalar 2016 IEEE International Conference on Image Processing (ICIP), 464-468, 2016 | 3 | 2016 |
