activity
20222025
most citedA Ferroelectric Compute-in-Memory Annealer for Combinatorial Optimization Problems

44 citations · 70 across the 6 of their papers we have counts for

collaborators

6 papers

cs.ET2025

A Full Spectrum of 3D Ferroelectric Memory Architectures Shaped by Polarization Sensing

Jiahui Duan, Asif Khan, Xiao Gong +2

Ferroelectric memories have attracted significant interest due to their non-volatile storage, energy efficiency, and fast operation, making them prime candidates for future memory…

cs.ET2025

An In-Situ Spatial-Temporal Sequence Detector for Neuromorphic Vision Sensor Empowered by High Density Vertical NAND Storage

Zijian Zhao, Varun Darshana Parekh, Po-Kai Hsu +17

Neuromorphic vision sensors require efficient real-time pattern recognition, yet conventional architectures struggle with energy and latency constraints. Here, we present a novel i…

cs.ET2023★ 44 cited

A Ferroelectric Compute-in-Memory Annealer for Combinatorial Optimization Problems

Xunzhao Yin, Yu Qian, Alptekin Vardar +11

Computationally hard combinatorial optimization problems (COPs) are ubiquitous in many applications, including logistical planning, resource allocation, chip design, drug explorati…

cs.ET2023

Embedding Security into Ferroelectric FET Array via In-Situ Memory Operation

Yixin Xu, Yi Xiao, Zijian Zhao +7

Non-volatile memories (NVMs) have the potential to reshape next-generation memory systems because of their promising properties of near-zero leakage power consumption, high density…

cs.ET2023★ 25 cited

Probabilistic-Bits based on Ferroelectric Field-Effect Transistors for Stochastic Computing

Sheng Luo, Yihan He, Baofang Cai +2

A probabilistic-bit (p-bit) is the fundamental building block in the circuit network of a stochastic computing, and it could produce a continuous random bit-stream with tunable pro…

cs.AR2022★ 1 cited

Ferroelectric FET based Context-Switching FPGA Enabling Dynamic Reconfiguration for Adaptive Deep Learning Machines

Yixin Xu, Zijian Zhao, Yi Xiao +16

Field Programmable Gate Array (FPGA) is widely used in acceleration of deep learning applications because of its reconfigurability, flexibility, and fast time-to-market. However, c…