| 2026 | AAAI | STEP-Nav: Spatial-Temporal Efficient Visual Token Pruning for Vision-and-Language Navigation with Large Language Models. | Yantao Lu, Shiqi Sun, Ning Liu, Bo Jiang, Ying Zhang, Jinchao Chen, Chenglie Du |
| 2024 | RTSS | Work-in-Progress: Towards Real-time Collaborative 3D Object Detection Systems with Request-free Communication. | Shiqi Sun, Yantao Lu, Ning Liu, Bo Jiang, Jinchao Chen, Ying Zhang |
| 2023 | RTSS | Work-in-Progress: Time-Aware Formation Control of Connected and Automated Vehicle Platoon Based on Weighted Graph Theory. | Ying Zhang, Tingyi Zhao, Yingjie Zhang, Tao You, Yantao Lu, Jinchao Chen |
| 2021 | ICIP | Weighted Average Precision: Adversarial Example Detection for Visual Perception Of Autonomous Vehicles. | Weiheng Chai, Yantao Lu, Senem Velipasalar |
| 2021 | ICIP | Fabricate-Vanish: An Effective And Transferable Black-Box Adversarial Attack Incorporating Feature Distortion. | Yantao Lu, Xueying Du, Bingkun Sun, Haining Ren, Senem Velipasalar |
| 2020 | CVPR | Enhancing Cross-Task Black-Box Transferability of Adversarial Examples With Dispersion Reduction. | Yantao Lu, Yunhan Jia, Jianyu Wang, Bai Li, Weiheng Chai, Lawrence Carin, Senem Velipasalar |
| 2020 | ICLR | Fooling Detection Alone is Not Enough: Adversarial Attack against Multiple Object Tracking. | Yunhan Jia, Yantao Lu, Junjie Shen, Qi Alfred Chen, Hao Chan, Zhenyu Zhong, Tao Wei |
| 2019 | ICIP | Efficient Human Activity Classification from Egocentric Videos Incorporating Actor-Critic Reinforcement Learning. | Yantao Lu, Yilan Li, Senem Velipasalar |
| 2019 | ICIP | Autonomous Choice of Deep Neural Network Parameters by a Modified Generative Adversarial Network. | Yantao Lu, Senem Velipasalar |
| 2017 | ACSSC | Human activity classification from wearable devices with cameras. | Yantao Lu, Senem Velipasalar |
| 2016 | ICIP | Robust footstep counting and traveled distance calculation by mobile phones incorporating camera geometry. | Yantao Lu, Senem Velipasalar |