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2020 – today
- 2024
[j6]Guancheng Chen
, Huabiao Qin, Linyi Huang:
Recursive noisy label learning paradigm based on confidence measurement for semi-supervised depth completion. Int. J. Mach. Learn. Cybern. 15(8): 3201-3219 (2024)- 2023
- [j5]Guancheng Chen, Junli Lin, Huabiao Qin:
UAMD-Net: A Unified Adaptive Multimodal Neural Network for Dense Depth Completion. IEEE Trans. Circuits Syst. Video Technol. 33(10): 5406-5419 (2023) - [c7]Yibo Zhou, Huabiao Qin, Guancheng Chen:
Intelligent Task Scheduling for Multi-Core Processors Based on Graph Neural Networks and Deep Reinforcement Learning. ICAICE 2023: 875-880 - [c6]Guancheng Chen, Xin Liu, Xing Xu, Yiu-Ming Cheung, Taihao Li:
Taking a Part for the Whole: An Archetype-agnostic Framework for Voice-Face Association. ACM Multimedia 2023: 7056-7064 - 2022
- [j4]Jing Liang, Guancheng Chen, Yan Wang, Huabiao Qin:
EGSANet: edge-guided sparse attention network for improving license plate detection in the wild. Appl. Intell. 52(4): 4458-4472 (2022) - [j3]Guofei Lian, Yan Wang, Huabiao Qin, Guancheng Chen:
Towards unified on-road object detection and depth estimation from a single image. Int. J. Mach. Learn. Cybern. 13(5): 1231-1241 (2022) - [j2]Guancheng Chen, Huabiao Qin:
Class-discriminative focal loss for extreme imbalanced multiclass object detection towards autonomous driving. Vis. Comput. 38(3): 1051-1063 (2022) - [c5]Haiyan Shao, Jihong Yang, Guancheng Chen, Yixiang Xie, Huabiao Qin, Linyi Huang:
High-quality rainy image generation method for autonomous driving based on few-shot learning. ACAI 2022: 18:1-18:7 - [i1]Guancheng Chen, Junli Lin, Huabiao Qin:
UAMD-Net: A Unified Adaptive Multimodal Neural Network for Dense Depth Completion. CoRR abs/2204.07791 (2022)
2010 – 2019
- 2016
- [j1]Minghua Li, Guancheng Chen, Qijun Wang, Yonghua Lin, H. Peter Hofstee, Per Stenström, Dian Zhou:
PATer: A Hardware Prefetching Automatic Tuner on IBM POWER8 Processor. IEEE Comput. Archit. Lett. 15(1): 37-40 (2016) - [c4]Zhen Jia, Chao Xue, Guancheng Chen, Jianfeng Zhan, Lixin Zhang, Yonghua Lin, H. Peter Hofstee:
Auto-tuning Spark Big Data Workloads on POWER8: Prediction-Based Dynamic SMT Threading. PACT 2016: 387-400 - 2013
- [c3]Qi Guo, Yan Li, Tao Liu, Kun Wang, Guancheng Chen, Xiaoming Bao, Wentao Tang:
Correlation-based performance analysis for full-system MapReduce optimization. IEEE BigData 2013: 753-761 - [c2]Yan Li, Kun Wang, Qi Guo, Xin Li, Xiaochen Zhang, Guancheng Chen, Tao Liu, Jian Li:
Breaking the boundary for whole-system performance optimization of big data. ISLPED 2013: 126-131 - 2012
- [c1]Guancheng Chen, Per Stenström:
Critical lock analysis: diagnosing critical section bottlenecks in multithreaded applications. SC 2012: 71
Coauthor Index
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