Collocated and simultaneous measurements of RF current and voltage on a trace in a noncontact manner C Luo, W Fang, Y Shen, H Qiu, W Shao, Z Hong, L Wang, Z He, Y En IEEE Transactions on Microwave Theory and Techniques 67 (6), 2406-2415, 2019 | 19 | 2019 |
Electromagnetic Pattern Extraction and Grouping for Near-Field Scanning of Integrated Circuits by PCA and K-Means Approaches Z Hong, W Fang, Y En, C Luo, W Shao, L Wang, Z He, E Shao IEEE Transactions on Electromagnetic Compatibility 61 (6), 1811-1822, 2019 | 14 | 2019 |
Efficient-Grad: Efficient Training Deep Convolutional Neural Networks on Edge Devices with Gradient Optimizations Z Hong, CP Yue ACM Transactions on Embedded Computing Systems (TECS) 21 (2), 1-24, 2022 | 12 | 2022 |
Cross-Dimensional Refined Learning for Real-Time 3D Visual Perception from Monocular Video Z Hong, CP Yue Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 8 | 2023 |
Efficient training convolutional neural networks on edge devices with gradient-pruned sign-symmetric feedback alignment Z Hong, CP Yue IT Convergence and Security: Proceedings of ICITCS 2021, 13-22, 2021 | 3 | 2021 |
Real-Time 3D Visual Perception by Cross-Dimensional Refined Learning Z Hong, CP Yue IEEE Transactions on Circuits and Systems for Video Technology, 2024 | 2 | 2024 |
Leveraging 360 Camera in 3D Reconstruction: A Vision-Based Approach HC Cheng, B Hussain, FZ Hong, CP Yue | 1* | |
Development of Multi-Agent-Based Indoor 3D Reconstruction. HC Cheng, FZ Hong, B Hussain, Y Wang, CP Yue Computers, Materials & Continua 81 (1), 2024 | | 2024 |
Towards Effective and Efficient 3D Visual Perception Z Hong PQDT-Global, 2024 | | 2024 |
Enabling technologies for multi-robot human collaboration CP Yue, HC Cheng, FZ Hong International Workshop on Signal Processing and Machine Learning (WSPML 2023 …, 2023 | | 2023 |
Supplementary Material for Cross-Dimensional Refined Learning for Real-Time 3D Visual Perception from Monocular Video FZ Hong, CP Yue Proceedings of the IEEE/CVF International Conference on Computer Vision …, 0 | | |