Cluster analysis based on attractor particle swarm optimization with boundary zoomed for working conditions classification of power plant pulverizing system. - Hui Cao 003; Wenquan Chen; Lixin Jia; Yanbin Zhang; Yantao Lu (Neurocomputing, 2013)

Robust footstep counting and traveled distance calculation by mobile phones incorporating camera geometry. - Yantao Lu; Senem Velipasalar (ICIP, 2016)

Human activity classification from wearable devices with cameras. - Yantao Lu; Senem Velipasalar (ACSSC, 2017)

Human Activity Classification Incorporating Egocentric Video and Inertial Measurement Unit Data. - Yantao Lu; Senem Velipasalar (GlobalSIP, 2018)

Autonomously and Simultaneously Refining Deep Neural Network Parameters by Generative Adversarial Networks. - Burak Kakillioglu; Yantao Lu; Senem Velipasalar (CoRR, 2018)

Autonomously and Simultaneously Refining Deep Neural Network Parameters by a Bi-Generative Adversarial Network Aided Genetic Algorithm. - Yantao Lu; Burak Kakillioglu; Senem Velipasalar (CoRR, 2018)

Efficient Human Activity Classification from Egocentric Videos Incorporating Actor-Critic Reinforcement Learning. - Yantao Lu; Yilan Li; Senem Velipasalar (ICIP, 2019)

Autonomous Choice of Deep Neural Network Parameters by a Modified Generative Adversarial Network. - Yantao Lu; Senem Velipasalar (ICIP, 2019)

Enhancing Cross-task Transferability of Adversarial Examples with Dispersion Reduction. - Yunhan Jia; Yantao Lu; Senem Velipasalar; Zhenyu Zhong; Tao Wei 002 (CoRR, 2019)

Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object Tracking. - Yunhan Jia; Yantao Lu; Junjie Shen 001; Qi Alfred Chen; Zhenyu Zhong; Tao Wei 002 (CoRR, 2019)

Autonomous Human Activity Classification from Ego-vision Camera and Accelerometer Data. - Yantao Lu; Senem Velipasalar (CoRR, 2019)

Enhancing Cross-Task Black-Box Transferability of Adversarial Examples With Dispersion Reduction. - Yantao Lu; Yunhan Jia; Jianyu Wang; Bai Li 001; Weiheng Chai; Lawrence Carin; Senem Velipasalar (CVPR, 2020)

Fooling Detection Alone is Not Enough: Adversarial Attack against Multiple Object Tracking. - Yunhan Jia; Yantao Lu; Junjie Shen 001; Qi Alfred Chen; Hao Chan; Zhenyu Zhong; Tao Wei 002 (ICLR, 2020)

Simultaneous and Spatiotemporal Detection of Different Levels of Activity in Multidimensional Data. - Natalie Sommer; Senem Velipasalar; Leanne M. Hirshfield; Yantao Lu; Burak Kakillioglu (IEEE Access, 2020)

An Effective Adversarial Attack on Person Re-Identification in Video Surveillance via Dispersion Reduction. - Yu Zheng 016; Yantao Lu; Senem Velipasalar (IEEE Access, 2020)

Towards Practical Lottery Ticket Hypothesis for Adversarial Training. - Bai Li 001; Shiqi Wang 002; Yunhan Jia; Yantao Lu; Zhenyu Zhong; Lawrence Carin; Suman Jana (CoRR, 2020)

Weighted Average Precision: Adversarial Example Detection for Visual Perception Of Autonomous Vehicles. - Weiheng Chai; Yantao Lu; Senem Velipasalar (ICIP, 2021)

Fabricate-Vanish: An Effective And Transferable Black-Box Adversarial Attack Incorporating Feature Distortion. - Yantao Lu; Xueying Du; Bingkun Sun; Haining Ren; Senem Velipasalar (ICIP, 2021)

Hermes Attack: Steal DNN Models with Lossless Inference Accuracy. - Yuankun Zhu; Yueqiang Cheng; Husheng Zhou; Yantao Lu (USENIX Security Symposium, 2021)

RAANet: Range-Aware Attention Network for LiDAR-based 3D Object Detection with Auxiliary Density Level Estimation. - Yantao Lu; Xuetao Hao; Shiqi Sun; Weiheng Chai; Muchenxuan Tong; Senem Velipasalar (CoRR, 2021)

BioKnowPrompt: Incorporating imprecise knowledge into prompt-tuning verbalizer with biomedical text for relation extraction. - Qing Li 022; Yichen Wang; Tao You; Yantao Lu (Inf. Sci., 2022)

Work-in-Progress: Time-Aware Formation Control of Connected and Automated Vehicle Platoon Based on Weighted Graph Theory. - Ying Zhang 060; Tingyi Zhao; Yingjie Zhang; Tao You; Yantao Lu; Jinchao Chen (RTSS, 2023)

AlterMOMA: Fusion Redundancy Pruning for Camera-LiDAR Fusion Models with Alternative Modality Masking. - Shiqi Sun; Yantao Lu; Ning Liu 007; Bo Jiang; Jinchao Chen; Ying Zhang 060 (NeurIPS, 2024)

Work-in-Progress: Towards Real-time Collaborative 3D Object Detection Systems with Request-free Communication. - Shiqi Sun; Yantao Lu; Ning Liu 007; Bo Jiang; Jinchao Chen; Ying Zhang 060 (RTSS, 2024)

Attentional Feature Erase: Towards task-wise transferable adversarial attack on cloud vision APIs. - Bo Cheng; Yantao Lu; Yilan Li; Tao You; Peng Zhang (Displays, 2024)

CrossPrune: Cooperative pruning for camera-LiDAR fused perception models of autonomous driving. - Yantao Lu; Bo Jiang; Ning Liu 007; Yilan Li; Jinchao Chen; Ying Zhang 060; Zifu Wan (Knowl. Based Syst., 2024)

Time-aware and task-transferable adversarial attack for perception of autonomous vehicles. - Yantao Lu; Haining Ren; Weiheng Chai; Senem Velipasalar; Yilan Li (Pattern Recognit. Lett., 2024)

Global-and-Local Attention-Based Reinforcement Learning for Cooperative Behaviour Control of Multiple UAVs. - Jinchao Chen; Tingyang Li; Ying Zhang 060; Tao You; Yantao Lu; Prayag Tiwari; Neeraj Kumar 001 (IEEE Trans. Veh. Technol., 2024)

Improving robustness and efficiency of edge computing models. - Yilan Li; Yantao Lu; Helei Cui; Senem Velipasalar (Wirel. Networks, 2024)

LaTP: LiDAR-aided multimodal token pruning for efficient trajectory prediction of autonomous driving. - Yantao Lu; Shiqi Sun; Ning Liu 007; Bo Jiang; Yilan Li; Jinchao Chen; Ying Zhang 060; Yichen Zhu; Senem Velipasalar (Neural Networks, 2025)

Cross-task and time-aware adversarial attack framework for perception of autonomous driving. - Yantao Lu; Ning Liu 007; Yilan Li; Jinchao Chen; Senem Velipasalar (Pattern Recognit., 2025)

Range-Aware Attention Network for LiDAR-Based 3D Object Detection With Auxiliary Point Density Level Estimation. - Yantao Lu; Xuetao Hao; Yilan Li; Weiheng Chai; Shiqi Sun; Senem Velipasalar (IEEE Trans. Veh. Technol., 2025)

Non-Preemptive Scheduling of Periodic Tasks with Data Dependencies in Heterogeneous Multiprocessor Embedded Systems. - Jinchao Chen; Yang Wang; Ying Zhang 060; Yantao Lu; Qing Li 022; Qiuhao Shu (ACM Trans. Design Autom. Electr. Syst., 2025)

Vision-Based Geometric Model for Accurate and Fast Lane Recognition in Complex Conditions. - Ying Zhang 060; Haoran Qi; Shuaishuai Ge; Tingyi Zhao; Jinchao Chen; Tao You; Yantao Lu; Chenglie Du (IEEE Trans. Intell. Transp. Syst., 2025)