彭成磊
信息电子学系 博士
彭成磊信息电子学系 博士 |
个人简历
研究方向
嵌入式智能系统,多光谱成像,计算机视觉算法,深度学习编译器,软硬件协同设计。 主要课程
专业核心课: 1. 《数字系统II》;2. 《操作系统与Linux程序设计》。 专业选修课: 3. 《人工智能工程基础》;4. 《人工智能基础与产业发展》。 暑期课程: 5. 《AIoT入门实践》。 代表成果
2022年 1. Zeyu Zhao, Zhihao Liu, Chenglei Peng*, AGFNet: Attention Guided Fusion Network for Camouflaged Object Detection, CICAI 2022 2. Jie Wang#, Chenglei Peng#, Ming Li, Yang Li*, Sidan Du*, The study of stereo matching optimization based on multi-baseline trinocular model, Multimedia Tools Applications 81, 12961-12972 (2022). 3. Xuejiao Hu, Jingzhao Dai, Ming Li, Chenglei Peng*, Yang Li, Sidan Du, Online human action detection and anticipation in videos: A survey, Neurocomputing 491, 395-413 (2022) 4. Zhaoxu Li, Sheng Liu, Jue Bai, Chenglei Peng*, Yang Li* and Sidan Du*, A Novel Skeleton-based Model with Spine for 3D Human Pose Estimation, 2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC), 2022, pp. 0501-0506 2021年 5. Mengyu An, Yuanyong Luo*, Muhan Zheng, Yuxuan Wang, Hongxi Dong, Zhongfeng Wang, Chenglei Peng*, and Hongbing Pan, Piecewise Parabolic Approximate Computation Based on an Error-Flattened Segmenter and a Novel Quantizer, Electronics 10, no. 21: 2704 (2021) 6. Jue Bai, Chenglei Peng*, Zhaoxu Li, Sidan Du*, Yang Li*, A Study of General Data Improvement for Large-Angle Head Pose Estimation, Computer Analysis of Images and Patterns, CAIP 2021, Lecture Notes in Computer Science, vol 13053. 7. Yifang Xu, Chenglei Peng*, Ming Li, Yang Li, and Sidan Du*, Pyramid Feature Attention Network for Monocular Depth Prediction, ICME 2021 8. Zhicheng Cai, Chenglei Peng*, and Sidan Du, Jitter: Random Jittering Loss Function, IJCNN 2021 9. Yifang Xu, Ming Li, Chenglei Peng*, Yang Li, and Sidan Du*, Dual Attention Feature Fusion Network for Monocular Depth Estimation, CICAI 2021 10. Haoran Geng#, Meng Cao#, Chengwen Guo, Chenglei Peng*, Sidan Du, and Jie Yuan, Global disassortative rewiring strategy for enhancing the robustness of scale-free networks against localized attack, Physical Review E 103, no. 2 (2021): 022313. 11. Zhicheng Cai, and Chenglei Peng*, A study on training fine-tuning of convolutional neural networks, In 2021 13th International Conference on Knowledge and Smart Technology (KST), pp. 84-89. IEEE, 2021. 12. Cao, Jingyi, Chenglei Peng*, Yang Li, and Sidan Du*, A Shadow Detection Method for Retaining Key Objects in Complex Scenes, In 2021 13th International Conference on Knowledge and Smart Technology (KST), pp. 90-95. IEEE, 2021. 13. Yuting Jiang#, Chenglei Peng#, Yunhao Zhu#, Xiang Ma, Guan Xu, Jie Yuan*, Xueding Wang, and Paul Carson*, Biomedical Photoacoustic Imaging with Unknown Spatially Distributed Ultrasound Sensor Array, IEEE Transactions on Biomedical Engineering (2021). 14. Dezheng Zhu, Chao Chen, Yan Zhao, Chenglei Peng*, and Zhikuang Cai, A 0.6 V high-swing gate-switching charge pump for PLL with current self-matching technique in 28nm CMOS, IEICE Electronics Express, Vol.18, 20200441, 2021 15. Han Fang#, Li Gong#, Yuan Xu, Yiyao Zhuo, Wentao Kong, Chenglei Peng*, and Jie Yuan, Reliable Thyroid Carcinoma Detection with Real-Time Intelligent Analysis of Ultrasound Images, Ultrasound in Medicine & Biology, Vol 47, Issue 3, pp. 590-602, 2021 2020年 16. Dezheng Zhu, Yuxuan Wang, Chenglei Peng*, Hongbing Pan, and Zhikuang Cai, A Low-Power 2.4-GHz Receiver Front-End with a Complementary Series Feedback LNA and a Current-reused Passive Down-converter based on Gm-boosted TIA for WSN Applications, IEICE Electronics Express, Vol.17, Issue 23, 20200353, 2020 17. Chenglei Peng*, Yanan Zhang, and Baoshan Zhang, MOF-derived jujube pit shaped C/Co composites with hierarchical structure for electromagnetic absorption, Journal of Alloys and Compounds, 826:154203, 2020 18. Xiang Ma, Chenglei Peng, Jie Yuan*, Qian Cheng, Guan Xu, Xueding Wang, and Paul L. Carson*, Multiple Delay and Sum with Enveloping Beamforming Algorithm for Photoacoustic Imaging, IEEE Transactions on Medical Imaging,Vol. 39, No. 6, 2020 19. Chenglei Peng*, Yang Li, Yao Yu, Yu Zhou, and Sidan Du, Multi-step-ahead Host Load Prediction with GRU Based Encoder-Decoder in Cloud Computing, IEEE 2018 10th International Conference on Knowledge and Smart Technology (KST), pp. 186-191, 2018 20. Qiangpeng Yang#, Chenglei Peng#, He Zhao, Yao Yu, Yu Zhou, Ziqiang Wang, and Sidan Du, A New Method Based on PSR and EA-GMDH for Host Load Prediction in Cloud Computing System, The Journal of Supercomputing, June 2014, Vol. 68, Issue 3, pp. 1402-1417, 2014 |
联系方式
电话:
邮件:pcl at nju.edu.cn 信箱: 办公地址:潘中来楼 340 |
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