Hongyang Jia

Orcid: 0000-0001-8692-1860

According to our database1, Hongyang Jia authored at least 25 papers between 2012 and 2024.

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Bibliography

2024
A Heterogeneous Microprocessor for Intermittent AI Inference Using Nonvolatile-SRAM-Based Compute-In-Memory.
IEEE Trans. Circuits Syst. II Express Briefs, November, 2024

Cramming More Weight Data Onto Compute-in-Memory Macros for High Task-Level Energy Efficiency Using Custom ROM With 3984-kb/mm<sup>2</sup> Density in 65-nm CMOS.
IEEE J. Solid State Circuits, June, 2024

A 28nm 4.35TOPS/mm2 Transformer Accelerator with Basis-vector Based Ultra Storage Compression, Decomposed Computation and Unified LUT-Assisted Cores.
Proceedings of the IEEE Symposium on VLSI Technology and Circuits 2024, 2024

Exploring Approximation and Dataflow Co-Optimization for Scalable Transformer Inference Architecture on the Edge.
Proceedings of the 37th IEEE International System-on-Chip Conference, 2024

34.7 A 28nm 2.4Mb/mm<sup>2</sup> 6.9 - 16.3TOPS/mm<sup>2</sup> eDRAM-LUT-Based Digital-Computing-in-Memory Macro with In-Memory Encoding and Refreshing.
Proceedings of the IEEE International Solid-State Circuits Conference, 2024

ESC-NTT: An Elastic, Seamless and Compact Architecture for Multi-Parameter NTT Acceleration.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

Invited: Automatic Hardware/Software Design for High-Speed Autonomous Unmanned Aerial Vehicles Guided by a Flight Model.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

A 28nm 8928Kb/mm<sup>2</sup>-Weight-Density Hybrid SRAM/ROM Compute-in-Memory Architecture Reducing >95% Weight Loading from DRAM.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2024

2023
A Heterogeneous Microprocessor Based on All-Digital Compute-in-Memory for End-to-End AIoT Inference.
IEEE Trans. Circuits Syst. II Express Briefs, August, 2023

Data-Driven Security and Stability Rule in High Renewable Penetrated Power System Operation.
Proc. IEEE, July, 2023

An RRAM-Based Digital Computing-in-Memory Macro With Dynamic Voltage Sense Amplifier and Sparse-Aware Approximate Adder Tree.
IEEE Trans. Circuits Syst. II Express Briefs, February, 2023

A 28nm 38-to-102-TOPS/W 8b Multiply-Less Approximate Digital SRAM Compute-In-Memory Macro for Neural-Network Inference.
Proceedings of the IEEE International Solid- State Circuits Conference, 2023

2022
Scalable and Programmable Neural Network Inference Accelerator Based on In-Memory Computing.
IEEE J. Solid State Circuits, 2022

2021
Designing Computing Systems Based on Unconventional Technologies for Hardware Acceleration
PhD thesis, 2021

A Programmable Neural-Network Inference Accelerator Based on Scalable In-Memory Computing.
Proceedings of the IEEE International Solid-State Circuits Conference, 2021

2020
Reducing Energy of Approximate Feature Extraction in Heterogeneous Architectures for Sensor Inference via Energy-Aware Genetic Programming.
IEEE Trans. Circuits Syst. I Fundam. Theory Appl., 2020

A Programmable Heterogeneous Microprocessor Based on Bit-Scalable In-Memory Computing.
IEEE J. Solid State Circuits, 2020

2019
A Programmable Embedded Microprocessor for Bit-scalable In-memory Computing.
Proceedings of the 2019 IEEE Hot Chips 31 Symposium (HCS), 2019

2018
Genetic Programming for Energy-Efficient and Energy-Scalable Approximate Feature Computation in Embedded Inference Systems.
IEEE Trans. Computers, 2018

Exploiting Approximate Feature Extraction via Genetic Programming for Hardware Acceleration in a Heterogeneous Microprocessor.
IEEE J. Solid State Circuits, 2018

A Microprocessor implemented in 65nm CMOS with Configurable and Bit-scalable Accelerator for Programmable In-memory Computing.
CoRR, 2018

Artificial intelligence meets large-scale sensing: Using Large-Area Electronics (LAE) to enable intelligent spaces.
Proceedings of the 2018 IEEE Custom Integrated Circuits Conference, 2018

2014
Register allocation for hybrid register architecture in nonvolatile processors.
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

Personalizing Statistical Models for Asthma Prognosis and Therapeutics.
Proceedings of the AMIA 2014, 2014

2012
An energy harvesting nonvolatile sensor node and its application to distributed moving object detection.
Proceedings of the 11th International Conference on Information Processing in Sensor Networks (co-located with CPS Week 2012), 2012


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