👨💼 I'm now working at EDA R&D Center of Hisilicon Tech. Co., Ltd. , which is one of the most competitive fabless semiconductors company all over the world (Biggest IC Design House in China), leading a lithography modeling group.
👨🎓 I graduated from School of Electronic Science & Engineering, Southeast University (SEU) with a bachelor's degree (2018) and a master's degree (2021), advised by Prof. Tang Yongming (汤勇明). I also collaborate with Wang Chengcheng (王成诚) working at T-Head , Li He (李鹤) from University of Cambridge
, and Yu Feng (俞峰) from NUS
closely.
🎯 My research interests include reconfigurable computing (especially using FPGA), image & video super-resolution (ISR & VSR), resolution enhancement technology (RET) and electronic design automation. Now, my current research interest is computational lithography in Hisilicon, which is also known as OPC in the field of semiconductor design and manufacturing. I have published 10+ papers at the top international conferences such as ASAP, FCCM, ICCSS.
- Personal Pages: 🔗 thmen.github.io (Updated Recently 🔥)
- Google Scholar: 🎓 my profile (Welcome to CITE)
- CSDN Blog: 📚 THmen
- 2023.11: 🎖️ Our work EGVSR ⭐️800+ (Up to now)!
- 2023.02: 🏆 My google scholar citations have exceeded 50!
- 2021.09: 💼 I join Hisilicon's EDA Team
as an AI researcher in Shanghai!
- 2021.07: 📣 We release EGVSR on Github (Welcome to STAR and FORK)!
My full paper list is shown at my personal homepage or google scholar.
ASAP 2021, Real-time Super-resolution System of 4K-video Based on Deep Learning, Yanpeng Cao, C. Wang, C. Song, Y. Tang, H. Li. ||
More Papers ...
ASSC 2021, Dynamic Weight of Adaptive Information Density Network for Image Super-Resolution, C. Wang, Yanpeng Cao, F. Yu, Y. Tang.ICDT 2020, Deep Learning Based Video Super Resolution: A Survey, Yanpeng Cao, F. Yu, Y. Tang.
JSEU 2023, WinoNet: Reconfigurable Look-up Table-based Winograd Accelerator for Arbitrary Precision Convolutional Neural Network Inference, C. Wang, H. Li, Yanpeng Cao, C. Song, F. Yu, Y. Tang.ASSC 2021, Efficient LUT-based FPGA Accelerator Design for Universal Quantized CNN Inference, Yanpeng Cao, C. Song, Y. Tang.Access 2020, A Digital Watermarking Encryption Technique Based on FPGA Cloud Accelerator, Yanpeng Cao, F. Yu, Y. Tang. |FCCM 2020, Explore Efficient LUT-based Architecture for Quantized Convolutional Neural Networks on FPGA, Yanpeng Cao, C. Wang, Y. Tang.FCCM 2020, Realization of Quantized Neural Network for Super-resolution on PYNQ, F. Yu, Yanpeng Cao, Y. Tang.
ICDT 2020, An Adaptive Video Scaling System Implementation Based on FPGA, C. Wang, Yanpeng Cao, Y. Tang.ICCSS 2019, Development of Real-Time Style Transfer for Video System, Yanpeng Cao, Y. Tang.
TALE 2018, A Novel Augmented Reality Guidance System for Future Informatization Experimental Teaching, Yanpeng Cao, Y. Tang, Y. Xie.IDW 2018, Design of Machine Vision Aided Measurement System for Near-eye Display Devices, S. Hu, Q. Zhu, Yanpeng Cao, Y. Tang, Y. Zheng.
Please give me a Star⭐ if you like it~