activity
20202024
most citedFISHING Net: Future Inference of Semantic Heatmaps In Grids

51 citations · 53 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AR2024

SynDCIM: A Performance-Aware Digital Computing-in-Memory Compiler with Multi-Spec-Oriented Subcircuit Synthesis

Kunming Shao, Fengshi Tian, Xiaomeng Wang +12

Digital Computing-in-Memory (DCIM) is an innovative technology that integrates multiply-accumulation (MAC) logic directly into memory arrays to enhance the performance of modern AI…

cs.AR2023

A 137.5 TOPS/W SRAM Compute-in-Memory Macro with 9-b Memory Cell-Embedded ADCs and Signal Margin Enhancement Techniques for AI Edge Applications

Xiaomeng Wang, Fengshi Tian, Xizi Chen +7

In this paper, we propose a high-precision SRAM-based CIM macro that can perform 4x4-bit MAC operations and yield 9-bit signed output. The inherent discharge branches of SRAM cells…

eess.SP20221 cited

A Compact Online-Learning Spiking Neuromorphic Biosignal Processor

Chaoming Fang, Ziyang Shen, Fengshi Tian +2

Real-time biosignal processing on wearable devices has attracted worldwide attention for its potential in healthcare applications. However, the requirement of low-area, low-power a…

eess.SP20221 cited

An Event-Driven Compressive Neuromorphic System for Cardiac Arrhythmia Detection

Jinbo Chen, Fengshi Tian, Jie Yang +1

Wearable electrocardiograph (ECG) recording and processing systems have been developed to detect cardiac arrhythmia to help prevent heart attacks. Conventional wearable systems, ho…

cs.CV202051 cited

FISHING Net: Future Inference of Semantic Heatmaps In Grids

Noureldin Hendy, Cooper Sloan, Feng Tian +5

For autonomous robots to navigate a complex environment, it is crucial to understand the surrounding scene both geometrically and semantically. Modern autonomous robots employ mult…