Wantong Li

Wantong Li

Georgia Institute of Technology

H-index: 8

North America-United States

About Wantong Li

Wantong Li, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Georgia Institute of Technology, specializes in the field of In-Memory Computing, AI Hardware, Computer Architecture, Heterogeneous Integration.

His recent articles reflect a diverse array of research interests and contributions to the field:

Design and Thermal Analysis of 2.5D and 3D Integrated System of a CMOS Image Sensor and a Sparsity-Aware Accelerator for Autonomous Driving

NeuroSim V1.4: Extending Technology Support for Digital Compute-in-Memory Toward 1nm Node

Enabling Ultra-Low Power Ultrasound Imaging with Compute-in-Memory Sparse Reconstruction Accelerator

H3DAtten: Heterogeneous 3-D Integrated Hybrid Analog and Digital Compute-in-Memory Accelerator for Vision Transformer Self-Attention

A Reconfigurable Monolithic 3D Switched-Capacitor DC-DC Converter with Back-End-of-Line Oxide Channel Transistor

Efficient & Reliable RRAM-based Compute-in-Memory for Edge Intelligence

Optimization Strategies for Digital Compute-in-Memory from Comparative Analysis with Systolic Array

Enabling Long-Term Robustness in RRAM-based Compute-In-Memory Edge Devices

Wantong Li Information

University

Position

___

Citations(all)

210

Citations(since 2020)

210

Cited By

32

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Wantong Li Skills & Research Interests

In-Memory Computing

AI Hardware

Computer Architecture

Heterogeneous Integration

Top articles of Wantong Li

Design and Thermal Analysis of 2.5D and 3D Integrated System of a CMOS Image Sensor and a Sparsity-Aware Accelerator for Autonomous Driving

IEEE Journal of the Electron Devices Society (JEDS)

2024/1/17

NeuroSim V1.4: Extending Technology Support for Digital Compute-in-Memory Toward 1nm Node

IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I)

2024

Enabling Ultra-Low Power Ultrasound Imaging with Compute-in-Memory Sparse Reconstruction Accelerator

2023/10/19

H3DAtten: Heterogeneous 3-D Integrated Hybrid Analog and Digital Compute-in-Memory Accelerator for Vision Transformer Self-Attention

IEEE Transactions on Very Large Scale Integration (VLSI) Systems

2023/8/8

A Reconfigurable Monolithic 3D Switched-Capacitor DC-DC Converter with Back-End-of-Line Oxide Channel Transistor

2023/8/6

Wantong Li
Wantong Li

H-Index: 1

Shimeng Yu
Shimeng Yu

H-Index: 54

Efficient & Reliable RRAM-based Compute-in-Memory for Edge Intelligence

2023/7/9

Wantong Li
Wantong Li

H-Index: 1

Optimization Strategies for Digital Compute-in-Memory from Comparative Analysis with Systolic Array

2023/6/11

Enabling Long-Term Robustness in RRAM-based Compute-In-Memory Edge Devices

2023/5/21

Machine Learning Algorithm Co-Design for a 40 nm RRAM Analog Compute-in-Memory Accelerator

2023/4/23

RAWAtten: Reconfigurable Accelerator for Window Attention in Hierarchical Vision Transformers

2023/4/17

Temporal Frame Filtering for Autonomous Driving Using 3D-Stacked Global Shutter CIS With IWO Buffer Memory and Near-Pixel Compute

IEEE Transactions on Circuits and Systems I: Regular Papers

2023/3/10

Thermal Modeling of 2.5D Integrated Package of CMOS Image Sensor and FPGA for Autonomous Driving

2023/3/7

BEOL Compatible Oxide Power Transistors for On-Chip Voltage Conversion in Heterogenous 3D (H3D) Integrated Circuits

2023/12/9

MAC-ECC: In-Situ Error Correction and Its Design Methodology for Reliable NVM-Based Compute-in-Memory Inference Engine

IEEE Journal on Emerging and Selected Topics in Circuits and Systems

2022/11/17

ENNA: An Efficient Neural Network Accelerator Design Based on ADC-Free Compute-In-Memory Subarrays

IEEE Transactions on Circuits and Systems I: Regular Papers

2022/10/10

A 40nm RRAM Compute-in-Memory Macro with Parallelism-Preserving ECC for Iso-Accuracy Voltage Scaling

2022/9/19

A Method for Reverse Engineering Neural Network Parameters from Compute-in-Memory Accelerators

2022/7/4

Temporal Frame Filtering with Near-Pixel Compute for Autonomous Driving

2022/6/13

A 40nm Analog-Input ADC-Free Compute-in-Memory RRAM Macro with Pulse-Width Modulation between Sub-arrays

2022/6/12

A 40-nm MLC-RRAM Compute-in-Memory Macro With Sparsity Control, On-Chip Write-Verify, and Temperature-Independent ADC References

IEEE Journal of Solid-State Circuits

2022/4/12

See List of Professors in Wantong Li University(Georgia Institute of Technology)

Co-Authors

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