I am currently a PhD candidate student in the Electronic and Computer Engineering department of Hong Kong University of Science and Technology, AI Chip Center for Emerging Smart Systems, and a member of Vision and System Design Lab (VSDL) under the supervision of Prof. Kwang-Ting CHENG. If you are interested, here is my CV.
In terms of my undergraduate study, I was at School of Microelectronics , Southern University of Science and Technology (南方科技大学深港微电子学院), advised by Fengwei An (安丰伟).
My research interest includes software/hardware co-design, model compression, and 3d processing.
🔥 News
- 2025.02: 🎉🎉 One paper is accepted by DAC 2025!
- 2024.10: 🎉🎉 One paper is accepted by ISSCC 2025!
- 2024.02: 🎉🎉 One paper and one poster are accepted by DAC 2024!
- 2022.08: 🎉🎉 Our second paper of the SLAM accelerator project is accepted by Sensors!
- 2022.08: 🎉🎉 Our first paper of the SLAM accelerator project (my first paper) is accepted by TCAS-II!
- 2021.12: 🎉🎉 Our team won the first prize of 2021 National College Students FPGA Innovation Design Competition!
- 2021.10: 🎉🎉 Our team won the first prize of 2021 International Competition of Autonomous Running Robots!
📝 Publications
Pingcheng Dong*, Yonghao Tan*, Xuejiao Liu, Peng Luo, Yu Liu, Luhong Liang, Yitong Zhou, Di Pang, Manto Yung, Dong Zhang, Xijie Huang, Shih-Yang Liu, Yongkun Wu, Fengshi Tian, Chi-Ying Tsui, Fengbin Tu, Kwang-Ting Cheng
*Equally Credited Authors (ECAs)
Genetic Quantization-Aware Approximation for Non-Linear Operations in Transformers
Pingcheng Dong*, Yonghao Tan*, Dong Zhang, Tianwei Ni, Xuejiao Liu, Yu Liu, Peng Luo, Luhong Liang, Shih-Yang Liu, Xijie Huang, Huaiyu Zhu, Yun Pan, Fengwei An, Kwang-Ting Cheng
*Equally Credited Authors (ECAs)
A Reconfigurable Coprocessor for Simultaneous Localization and Mapping Algorithms in FPGA
Yonghao Tan*, Huanshihong Deng*, Mengying Sun, Minghao Zhou, Yifei Chen, Lei Chen, Chao Wang, Fengwei An
*Equally Credited Authors (ECAs)
Yonghao Tan*, Mengying Sun*, Huanshihong Deng, Haihan Wu, Minghao Zhou, Yifei Chen, Zhuo Yu, Qinghan Zeng, Ping Li, Lei Chen, Fengwei An
*Equally Credited Authors (ECAs)
🎖 Honors and Awards
- 2023.05 Outstanding graduates at the school level of SUSTech
- 2022.09 Highest Score in First-class Outstanding Students Scholarship
- 2022.04 Undergraduate Innovation and Entrepreneurship Training Programs
- 2021.12 Shenzhen Longsys Electronics Company Award (Top 2% in School of Microelectronics)
- 2021.12 The First Prize of 2021 National College Students FPGA innovation design competition (Top 22 in 1341 teams)
- 2021.10 The First Prize of 2021 International Competition of Autonomous Running Robots (Top 1 of 34 teams in final match)
- 2021.09 Second-class Outstanding Students Scholarship
- 2021.07 Guangdong College Students’ Scientific and Technological Innovation
- 2020.09 Second-class Outstanding Students Scholarship
📖 Educations
- 2023.09 - present, Doctor of Philosophy, Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China.
- 2019.09 - present, Undergraduate, Microelectronics, Experimental Class, School of Microelectronics, Southern University of Science and Technology, Shenzhen, China. GPA: 3.77.
- 2016.09 - 2019.06, Shimen Middle School, Foshan, China.
📚 Research Projects
- Hybrid Bonding based co-design AI accelerator (AC-RHB)
- Co-design optimization for LLMs
- Implement the AI-core and RERAM with 55nm die-on-wafer stacking via bumping process
- Transformer based co-design AI accelerator (AC-Transformer)
- Hardware/Software collaborative optimization of Transformer-based architecture
- Implement an energy-efficient Transformer-based accelerator for semantic segmentation with 28nm ASIC process
- ASIC design of SLAM accelerator in 28nm CMOS technology
- Propose a reconfigurable visual-inertial odometry accelerator and implemented it on FPGA platform which can process data from image sensor and inertial measurement unit for trajectory output in real-time at 160MHz and 110fps
- Optimize the hardware architecture and perform back-end design for ASIC development
😀 Teaching Assistant
- ELEC2350: Introduction to Computer Organization and Design (2025 Fall)
- ELEC3400: Introduction to Integrated Circuits and Systems (2024 Spring)
- ELEC6910H: Advanced AI Chip and System (2024 Fall)