| Encoding, model, and architecture: Systematic optimization for spiking neural network in FPGAs H Fang, Z Mei, A Shrestha, Z Zhao, Y Li, Q Qiu Proceedings of the 39th International Conference on Computer-Aided Design, 1-9, 2020 | 73 | 2020 |
| Autonomous waypoint planning, optimal trajectory generation and nonlinear tracking control for multi-rotor uavs H Eslamiat, Y Li, N Wang, AK Sanyal, Q Qiu 2019 18th European control conference (ECC), 2695-2700, 2019 | 35 | 2019 |
| Autonomous waypoints planning and trajectory generation for multi-rotor UAVs Y Li, H Eslamiat, N Wang, Z Zhao, AK Sanyal, Q Qiu Proceedings of the Workshop on Design Automation for CPS and IoT, 31-40, 2019 | 26 | 2019 |
| An event-driven neuromorphic system with biologically plausible temporal dynamics H Fang, A Shrestha, Z Zhao, Y Li, Q Qiu 2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-8, 2019 | 23 | 2019 |
| Fast and accurate trajectory tracking for unmanned aerial vehicles based on deep reinforcement learning Y Li, H Li, Z Li, H Fang, AK Sanyal, Y Wang, Q Qiu 2019 IEEE 25th International Conference on Embedded and Real-Time Computing …, 2019 | 23 | 2019 |
| 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 | 12 | 2019 |
| Neural network pruning and fast training for DRL-based UAV trajectory planning Y Li, H Fang, M Li, Y Ma, Q Qiu 2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC), 574-579, 2022 | 10 | 2022 |
| Assisting fuzzy offline handwriting recognition using recurrent belief propagation Y Li, Z Li, Q Qiu 2016 IEEE symposium series on computational intelligence (SSCI), 1-8, 2016 | 10 | 2016 |
| 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 IEEE Transactions on Vehicular Technology, 2024 | 8 | 2024 |
| Time-aware and task-transferable adversarial attack for perception of autonomous vehicles Y Lu, H Ren, W Chai, S Velipasalar, Y Li Pattern Recognition Letters 178, 145-152, 2024 | 4 | 2024 |
| CrossPrune: Cooperative pruning for camera–LiDAR fused perception models of autonomous driving Y Lu, B Jiang, N Liu, Y Li, J Chen, Y Zhang, Z Wan Knowledge-Based Systems 289, 111522, 2024 | 3 | 2024 |
| Autonomous UAV with learned trajectory generation and control Y Li, M Li, A Sanyal, Y Wang, Q Qiu 2019 IEEE International Workshop on Signal Processing Systems (SiPS), 115-120, 2019 | 3 | 2019 |
| Improving robustness and efficiency of edge computing models Y Li, Y Lu, H Cui, S Velipasalar Wireless Networks 30 (6), 4699-4711, 2024 | 2 | 2024 |
| Single image reflection removal through multi‐scale gradient refinement K Cheng, J Du, J Li, Y Li, Y Li, J Li IET Image Processing 16 (13), 3579-3588, 2022 | 1 | 2022 |
| Categorical-Parallel Adversarial Defense for Perception Models on Single-Board Embedded Unmanned Vehicles Y Li, X Fan, S Sun, Y Lu, N Liu Drones 8 (9), 438, 2024 | | 2024 |
| Attentional Feature Erase: Towards task-wise transferable adversarial attack on cloud vision APIs B Cheng, Y Lu, Y Li, T You, P Zhang Displays 82, 102634, 2024 | | 2024 |
