Meizhi Wang

According to our database, Meizhi Wang authored at least 21 papers between 2014 and 2024.

Collaborative distances:

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

2024

Power and EM Side-Channel-Attack-Resilient AES-128 Core with Round-Aligned Globally-Synchronous-Locally-Asynchronous Operation Based on Tunable Replica Circuits.

Sirish Oruganti, Meizhi Wang, Vishnuvardhan V. Iyer, Yipeng Wang, Mengtian Yang, Raghavan Kumar, Sanu K. Mathew, Jaydeep P. Kulkarni

Proceedings of the IEEE International Solid-State Circuits Conference, 2024

Randomization Approaches for Secure SAR ADC Design Resilient Against Power Side-Channel Attacks.

Sumanth N. Karanth, Sirish Oruganti, Meizhi Wang, Jaydeep P. Kulkarni

Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2024

CILP: An Arbitrary-bit Precision All-digital Compute-in-memory Solver for Integer Linear Programming Problems.

Mengtian Yang, Yipeng Wang, Shanshan Xie, Chieh-Pu Lo, Meizhi Wang, Sirish Oruganti, Rishabh Sehgal, Jaydeep P. Kulkarni

Proceedings of the IEEE Custom Integrated Circuits Conference, 2024

2023

An In-Memory-Computing Charge-Domain Ternary CNN Classifier.

Xiangxing Yang, Keren Zhu, Xiyuan Tang, Meizhi Wang, Mingtao Zhan, Nanshu Lu, Jaydeep P. Kulkarni, David Z. Pan, Yongpan Liu, Nan Sun

IEEE J. Solid State Circuits, May, 2023

Snap-SAT: A One-Shot Energy-Performance-Aware All-Digital Compute-in-Memory Solver for Large-Scale Hard Boolean Satisfiability Problems.

Shanshan Xie, Mengtian Yang, S. Andrew Lanham, Yipeng Wang, Meizhi Wang, Sirish Oruganti, Jaydeep P. Kulkarni

Proceedings of the IEEE International Solid- State Circuits Conference, 2023

CIMGN: An Energy-efficient All-digital Compute-in-memory Graph Neural Network Processor.

Yipeng Wang, Mengtian Yang, Shanshan Xie, Meizhi Wang, Jaydeep P. Kulkarni

Proceedings of the 49th IEEE European Solid State Circuits Conference, 2023

Invited: Buried Power Rails and Back-side Power Grids: Prospects and Challenges.

S. S. Teja Nibhanupudi, Sirish Oruganti, Rahul Mathur, Nishant Gupta, Meizhi Wang, Jaydeep P. Kulkarni

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

A GNN Computing-in-Memory Macro and Accelerator with Analog-Digital Hybrid Transformation and CAMenabled Search-reduce.

Yipeng Wang, Shanshan Xie, Jacob N. Rohan, Meizhi Wang, Mengtian Yang, Sirish Oruganti, Jaydeep P. Kulkarni

Proceedings of the IEEE Custom Integrated Circuits Conference, 2023

2022

Ising-CIM: A Reconfigurable and Scalable Compute Within Memory Analog Ising Accelerator for Solving Combinatorial Optimization Problems.

Shanshan Xie, Siddhartha Raman Sundara Raman, Can Ni, Meizhi Wang, Mengtian Yang, Jaydeep P. Kulkarni

IEEE J. Solid State Circuits, 2022

Fine-Grained Electromagnetic Side-Channel Analysis Resilient Secure AES Core with Stacked Voltage Domains and Spatio-temporally Randomized Circuit Blocks.

Meizhi Wang, Sirish Oruganti, Shanshan Xie, Raghavan Kumar, Sanu Mathew, Jaydeep P. Kulkarni

Proceedings of the 48th IEEE European Solid State Circuits Conference, 2022

2021

A Systematic Evaluation of EM and Power Side-Channel Analysis Attacks on AES Implementations.

Vishnuvardhan V. Iyer, Meizhi Wang, Jaydeep Kulkarni, Ali E. Yilmaz

Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2021

Galvanically Isolated, Power and Electromagnetic Side-Channel Attack Resilient Secure AES Core with Integrated Charge Pump based Power Management.

Meizhi Wang, Shanshan Xie, Ping Na Li, Aseem Sayal, Ge Li, Vishnuvardhan V. Iyer, Aditya Thimmaiah, Michael Orshansky, Ali E. Yilmaz, Jaydeep P. Kulkarni

Proceedings of the IEEE Custom Integrated Circuits Conference, 2021

Physical Design Strategies for Mitigating Fine-Grained Electromagnetic Side-Channel Attacks.

Meizhi Wang, Vishnuvardhan V. Iyer, Shanshan Xie, Ge Li, Sanu K. Mathew, Raghavan Kumar, Michael Orshansky, Ali E. Yilmaz, Jaydeep P. Kulkarni

Proceedings of the IEEE Custom Integrated Circuits Conference, 2021

2018

Covering-based multigranulation decision-theoretic rough set approaches with new strategies.

Caihui Liu, Witold Pedrycz, Jin Qian, Meizhi Wang

J. Intell. Fuzzy Syst., 2018

Decision-theoretic rough set approaches to multi-covering approximation spaces based on fuzzy probability measure.

Caihui Liu, Witold Pedrycz, Feng Jiang, Meizhi Wang

J. Intell. Fuzzy Syst., 2018

Covering-Based Optimistic-Pessimistic Multigranulation Decision-Theoretic Rough Sets.

Caihui Liu, Jin Qian, Nan Zhang, Meizhi Wang

Proceedings of the Rough Sets - International Joint Conference, 2018

2017

Covering-based multigranulation decision-theoretic rough sets.

Caihui Liu, Witold Pedrycz, Meizhi Wang

J. Intell. Fuzzy Syst., 2017

Covering-Based Optimistic Multigranulation Decision-Theoretic Rough Sets Based on Maximal Descriptors.

Caihui Liu, Meizhi Wang, Nan Zhang

Proceedings of the Rough Sets - International Joint Conference, 2017

2016

Optimistic Decision-Theoretic Rough Sets in Multi-covering Space.

Caihui Liu, Meizhi Wang

Proceedings of the Rough Sets - International Joint Conference, 2016

2015

A New Subsystem-Based Definition of Generalized Rough Set Model.

Caihui Liu, Meizhi Wang, Yanfei Dai, Yueli Luo

Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015

2014

Multi-granulation Rough Sets Based on Central Sets.

Caihui Liu, Meizhi Wang, Yujiang Liu, Min Wang

Proceedings of the Rough Sets and Knowledge Technology - 9th International Conference, 2014