Hi! This is my resume
pdf version available here
Education
- Ph.D. in Electrical and Computer Engineering, Duke University, 2023 - Now
- M.S. in Computer Science and Information Engineering, National Cheng Kung University, 2022
- B.E. in Computer Engineering, University of Hong Kong, 2018
Research experiences
Publications
Teaching
Honors & Awards
- 2022: IEEE Tainan Section Best Master Thesis Award
- Thesis Title: A Dual-Addressing Graph Processing Accelerator with Vertex Coalescing
- 2014 - 2018: HKU Foundation Scholarship for International Students (240k HKD in total)
- 2016 - 2017: Reaching Out Award scholarship from HKSAR gov.
- 2018: IEEE (Hong Kong) Final Year Project Merit Award
- Project Title: The performance optimization on TensorFlow framework on Mobile GPU devices using OpenCL
Projects
- A complete SW/HW co-design system for mask detection SoC
- SoC consists of: pipelined RV32I core, I-cache/D-cache, AXI bus, DMA, DRAM/ROM controller, Interrupt manager, and CNN acceleration unit.
- Apply network compression and quantization on mask detection NN model.
- Inference the compressed model on a SoC with HW acceleration.
- SoC handles the booting sequence, data movements, the control of acceleration unit, and system interrupts.
- Github: https://github.com/WeiCheng14159/VSD_CNN_accelerator
- Contribute to ria-jit (an open source RISC-V to x86 binary translator)
- Contribute to srv32 (an open source 3-stage pipeline RV32IM core)
Other Experiences
- Cell-based Digital IC tapeout, Taiwan Semiconductor Research Institute
- Participate in the design, tapeout, and verification of an UMC 0.18 um process digital IC
- Service as the class representative for CE major students in academic year 2015-2016, 2017-2018
Skills
- Programming: Python, C++/C, Verilog/SystemVerilog
- AI Frameworks: Pytorch, TensorFlow
- EDA tools: NC Verilog, Design Compiler, IC Compiler/Innovus
- Miscellaneous: Linux, Shell, Latex, Markdown, Git
- Other Skills: Qi-gong (A Chinese system of physical exercises and breathing control)
Languages
- Native Mandarian, Taiwanese
- Fluent English, Cantonese