Chenglei Peng, Associate professor, Doctoral supervisor. Prof. Peng was a visiting professor of Stanford university and University of California, Santa cruz. He is currently engaged in theoretical and applied research in the fields of Embedded Intelligent systems, 3D Vision & Embodied Intelligence, CV Algorithms, Medical Image Processing, Deep Learning compilers, co-design of software and hardware, brain-like computing,  and so on. He has been awarded the China Computer Industry Development Achievement Award. He was awarded the First Prize of Higher Education Teaching Achievements in Jiangsu Province in 2017, the Charming Tutor Award of Nanjing University in 2019, the Outstanding Teacher Development Award of Nanjing University in 2020, and the YuJiaoRonghe Award of Nanjing University in 2022/2024. As the instructor, Dr. Peng guided students to win the national first prize of the Embedded Topic Invitational Competition of the 2022 College Students Electronic Design Competition and the highest award of the 2022 Intel Artificial Intelligence Global Impact Festival: Grand WInner.

Embedded AI Systems, Image Processing & Computer Vision, 3D Vision & Embodied Intelligence, Deep Learning Compiler, Software/Hardware Co-design

Core courses: Digital System II

Elective courses: Operating System and Linux Programming, Fundanmentals of Artificial Intelligence

1. Hongli Su, Yuchen Hong, Zhihao Liu, Chenglei Peng*, Hongbing Pan, RDIF: Infrared and Visible Image Fusion Based on Reverse Cross-Attention and Diffusion Model, ICANN 2025

2. Yan Yang, Dongdong Ren, Chenglei Peng*, Jing Huo, Wenbin Li*, Yang Gao, Dynamic Replay Training for Class-Incremental Learning, ICASSP 2024

3. Bing Li, Dongdong Ren, Hao Liu, Tinghao Yu, Chenglei Peng*, Yang Gao, Incremental Image Generation with Diffusion Models by Label Embedding Initialization and Fusion, ACM MM CL’24

4. Zhicheng Cai, Chenglei Peng*, Qiu Shen, Learn to Enhance the Negative Information in Convolutional Neural Network, ICIG 2023

5. Xinyue Wang, Zhicheng Cai, Chenglei Peng*, X-MLP: A Patch Embedding-Free MLP Architecture for Vision, IJCNN 2023

6. Zeyu Zhao, Zhihao Liu, Chenglei Peng*, AGFNet: Attention Guided Fusion Network for Camouflaged Object Detection, CICAI 2022

7. 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).

8. 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)

9. 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

10. 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)

11. 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.

12. Yifang Xu, Chenglei Peng*, Ming Li, Yang Li, and Sidan Du*, Pyramid Feature Attention Network for Monocular Depth Prediction, ICME 2021

13. Zhicheng Cai, Chenglei Peng*, and Sidan Du, Jitter: Random Jittering Loss Function, IJCNN 2021

14. Yifang Xu, Ming Li, Chenglei Peng*, Yang Li, and Sidan Du*, Dual Attention Feature Fusion Network for Monocular Depth Estimation, CICAI 2021

15. 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.

16. 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.

17. 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.

18. 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).

19. 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

20. 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

21. 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

22. 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

23. 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

24. 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