Zhiyu Chen
Ph.D. Student (started in 2018)
Rice University
Machine learning is fun; it is even more fun if we can turn the mathematics into tangible circuits. Currently I am interested in building novel circuits, architectures and algorithms for mixed-signal machine learning systems.
Awards
- Outstanding Graduate Thesis, Nanjing University, 2018
- Best Presenter in 17th IEEE International Conference on Communications Technology, 2017
- Merit Scholarship, Nanjing University, 2016
- Merit Scholarship, Nanjing University, 2015
Education
B.E. in Electrical Engineering, 2018
Nanjing University
Interests
- In-Memory Computing
- Machine Learning
Conference Papers
- CASA: An Energy-Efficient and High-Speed CAM-based SMEM Seeding Accelerator for Genome Alignment. Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023.
- A 36nW CMOS Temperature Sensor with <0.1K Inaccuracy and Uniform Resolution. 2023 IEEE Symposium on VLSI Circuits, 2023.
- Magnetoeletric Backscatter Communication for Millimeter-Sized Wireless Biomedical Implants. ACM GetMobile: Mobile Computing and Communications, 2023.
- Magnetoelectric Backscatter Communication for Millimeter-Sized Wireless Biomedical Implants. ACM International Conference On Mobile Computing And Networking (MobiCom), 2022.
- A Wireless Network of 8.8mm3 Bio-Implants Featuring Adaptive Magnetoelectric Power and Multi-Access Bidirectional Telemetry. 2022 IEEE Radio Frequency Integrated Circuits Symposium (RFIC), 2022.
- CAMA: Energy and Memory Efficient Automata Processing in Content-Addressable Memories. IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2022.
- DCT-RAM: A Driver-Free Process-In-Memory 8T SRAM Macro with Multi-Bit Charge-Domain Computation and Time-Domain Quantization. IEEE Custom Integrated Circuits Conference (CICC), 2022.
- MC2-RAM: An In-8T-SRAM Computing Macro Featuring Multi-Bit Charge-Domain Computing and ADC-Reduction Weight Encoding. 2021 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2021.