Cheng Wang

According to our database, Cheng Wang authored at least 14 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

CRAM-ER: Error-Resilient Spintronic Computational Random Access Memory for Scalable In-Memory Computation.

Sohan Salahuddin Mugdho, Md. Shahedul Hasan, Brahmdutta Dixit, Yang Lv, Jian-Ping Wang, Cheng Wang

Proceedings of the Great Lakes Symposium on VLSI 2026, 2026

2025

FairXbar: Improving the Fairness of Deep Neural Networks with Non-Ideal in-Memory Computing Hardware.

Sohan Salahuddin Mugdho, Yuanbo Guo, Ethan G. Rogers, Weiwei Zhao, Yiyu Shi, Cheng Wang

Proceedings of the Design, Automation & Test in Europe Conference, 2025

Area-Efficient Heterogeneous MRAM for High-Performing AI Acceleration.

Sohan Salahuddin Mugdho, Kshemal Kshemendra Gupte, Md. Shahedul Hasan, Cheng Wang

Proceedings of the 2025 Cross-Disciplinary Conference on Memory-Centric Computing (CCMCC), 2025

2024

StoX-Net: Stochastic Processing of Partial Sums for Efficient In-Memory Computing DNN Accelerators.

Ethan G. Rogers, Sohan Salahuddin Mugdho, Kshemal Kshemendra Gupte, Cheng Wang

Proceedings of the IEEE International Conference on Rebooting Computing, 2024

Scalable Spintronic Synapses for Analog In-Memory Computing Based on Exchange-Coupled Nanostructures.

Kshemal Kshemendra Gupte, Sohan Salahuddin Mugdho, Cheng Wang

Proceedings of the IEEE International Conference on Rebooting Computing, 2024

2023

SAMBA: Sparsity Aware In-Memory Computing Based Machine Learning Accelerator.

Dong Eun Kim, Aayush Ankit, Cheng Wang, Kaushik Roy

IEEE Trans. Computers, September, 2023

Evaluation of STT-MRAM as a Scratchpad for Training in ML Accelerators.

Sourjya Roy, Cheng Wang, Anand Raghunathan

CoRR, 2023

2022

A Co-design view of Compute in-Memory with Non-Volatile Elements for Neural Networks.

Wilfried Haensch, Anand Raghunathan, Kaushik Roy, Bhaswar Chakrabarti, Charudatta M. Phatak, Cheng Wang, Supratik Guha

CoRR, 2022

Design Space and Memory Technology Co-Exploration for In-Memory Computing Based Machine Learning Accelerators.

Kang He, Indranil Chakraborty, Cheng Wang, Kaushik Roy

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

A cross-layer approach to cognitive computing: invited.

Gobinda Saha, Cheng Wang, Anand Raghunathan, Kaushik Roy

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Oscillatory Fourier Neural Network: A Compact and Efficient Architecture for Sequential Processing.

Bing Han, Cheng Wang, Kaushik Roy

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Magnetoresistive Circuits and Systems: Embedded Non-Volatile Memory to Crossbar Arrays.

Amogh Agrawal, Cheng Wang, Tanvi Sharma, Kaushik Roy

IEEE Trans. Circuits Syst. I Regul. Pap., 2021

Enabling Robust SOT-MTJ Crossbars for Machine Learning using Sparsity-Aware Device-Circuit Co-design.

Tanvi Sharma, Cheng Wang, Amogh Agrawal, Kaushik Roy

Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2021

Brain-Inspired Computing: Adventure from Beyond CMOS Technologies to Beyond von Neumann Architectures ICCAD Special Session Paper.

Hussam Amrouch, Jian-Jia Chen, Kaushik Roy, Yuan Xie, Indranil Chakraborty, Wenqin Huangfu, Ling Liang, Fengbin Tu, Cheng Wang, Mikail Yayla

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021