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Meizhi Wang
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2020 – today
- 2024
- [c17]Mengtian Yang, Yipeng Wang, Shanshan Xie, Chieh-Pu Lo, Meizhi Wang, Sirish Oruganti, Rishabh Sehgal, Jaydeep P. Kulkarni:
CILP: An Arbitrary-bit Precision All-digital Compute-in-memory Solver for Integer Linear Programming Problems. CICC 2024: 1-2 - [c16]Sumanth N. Karanth, Sirish Oruganti, Meizhi Wang, Jaydeep P. Kulkarni:
Randomization Approaches for Secure SAR ADC Design Resilient Against Power Side-Channel Attacks. HOST 2024: 282-292 - [c15]Sirish Oruganti, Meizhi Wang, Vishnuvardhan V. Iyer, Yipeng Wang, Mengtian Yang, Raghavan Kumar, Sanu K. Mathew, Jaydeep P. Kulkarni:
Power and EM Side-Channel-Attack-Resilient AES-128 Core with Round-Aligned Globally-Synchronous-Locally-Asynchronous Operation Based on Tunable Replica Circuits. ISSCC 2024: 308-310 - 2023
- [j5]Xiangxing Yang, Keren Zhu, Xiyuan Tang, Meizhi Wang, Mingtao Zhan, Nanshu Lu, Jaydeep P. Kulkarni, David Z. Pan, Yongpan Liu, Nan Sun:
An In-Memory-Computing Charge-Domain Ternary CNN Classifier. IEEE J. Solid State Circuits 58(5): 1450-1461 (2023) - [c14]Yipeng Wang, Shanshan Xie, Jacob N. Rohan, Meizhi Wang, Mengtian Yang, Sirish Oruganti, Jaydeep P. Kulkarni:
A GNN Computing-in-Memory Macro and Accelerator with Analog-Digital Hybrid Transformation and CAMenabled Search-reduce. CICC 2023: 1-2 - [c13]S. S. Teja Nibhanupudi, Sirish Oruganti, Rahul Mathur, Nishant Gupta, Meizhi Wang, Jaydeep P. Kulkarni:
Invited: Buried Power Rails and Back-side Power Grids: Prospects and Challenges. DAC 2023: 1-4 - [c12]Yipeng Wang, Mengtian Yang, Shanshan Xie, Meizhi Wang, Jaydeep P. Kulkarni:
CIMGN: An Energy-efficient All-digital Compute-in-memory Graph Neural Network Processor. ESSCIRC 2023: 477-480 - [c11]Shanshan Xie, Mengtian Yang, S. Andrew Lanham, Yipeng Wang, Meizhi Wang, Sirish Oruganti, Jaydeep P. Kulkarni:
Snap-SAT: A One-Shot Energy-Performance-Aware All-Digital Compute-in-Memory Solver for Large-Scale Hard Boolean Satisfiability Problems. ISSCC 2023: 420-421 - 2022
- [j4]Shanshan Xie, Siddhartha Raman Sundara Raman, Can Ni, Meizhi Wang, Mengtian Yang, Jaydeep P. Kulkarni:
Ising-CIM: A Reconfigurable and Scalable Compute Within Memory Analog Ising Accelerator for Solving Combinatorial Optimization Problems. IEEE J. Solid State Circuits 57(11): 3453-3465 (2022) - [c10]Meizhi Wang, Sirish Oruganti, Shanshan Xie, Raghavan Kumar, Sanu Mathew, Jaydeep P. Kulkarni:
Fine-Grained Electromagnetic Side-Channel Analysis Resilient Secure AES Core with Stacked Voltage Domains and Spatio-temporally Randomized Circuit Blocks. ESSCIRC 2022: 529-532 - 2021
- [c9]Meizhi Wang, Vishnuvardhan V. Iyer, Shanshan Xie, Ge Li, Sanu K. Mathew, Raghavan Kumar, Michael Orshansky, Ali E. Yilmaz, Jaydeep P. Kulkarni:
Physical Design Strategies for Mitigating Fine-Grained Electromagnetic Side-Channel Attacks. CICC 2021: 1-2 - [c8]Meizhi Wang, Shanshan Xie, Ping Na Li, Aseem Sayal, Ge Li, Vishnuvardhan V. Iyer, Aditya Thimmaiah, Michael Orshansky, Ali E. Yilmaz, Jaydeep P. Kulkarni:
Galvanically Isolated, Power and Electromagnetic Side-Channel Attack Resilient Secure AES Core with Integrated Charge Pump based Power Management. CICC 2021: 1-2 - [c7]Xiangxing Yang, Keren Zhu, Xiyuan Tang, Meizhi Wang, Mingtao Zhan, Nanshu Lu, Jaydeep P. Kulkarni, David Z. Pan, Yongpan Liu, Nan Sun:
An In-Memory-Computing Charge-Domain Ternary CNN Classifier. CICC 2021: 1-2 - [c6]Vishnuvardhan V. Iyer, Meizhi Wang, Jaydeep Kulkarni, Ali E. Yilmaz:
A Systematic Evaluation of EM and Power Side-Channel Analysis Attacks on AES Implementations. ISI 2021: 1-6
2010 – 2019
- 2018
- [j3]Caihui Liu, Witold Pedrycz, Feng Jiang, Meizhi Wang:
Decision-theoretic rough set approaches to multi-covering approximation spaces based on fuzzy probability measure. J. Intell. Fuzzy Syst. 34(3): 1917-1931 (2018) - [j2]Caihui Liu, Witold Pedrycz, Jin Qian, Meizhi Wang:
Covering-based multigranulation decision-theoretic rough set approaches with new strategies. J. Intell. Fuzzy Syst. 35(1): 1179-1191 (2018) - [c5]Caihui Liu, Jin Qian, Nan Zhang, Meizhi Wang:
Covering-Based Optimistic-Pessimistic Multigranulation Decision-Theoretic Rough Sets. IJCSR 2018: 137-147 - 2017
- [j1]Caihui Liu, Witold Pedrycz, Meizhi Wang:
Covering-based multigranulation decision-theoretic rough sets. J. Intell. Fuzzy Syst. 32(1): 749-765 (2017) - [c4]Caihui Liu, Meizhi Wang, Nan Zhang:
Covering-Based Optimistic Multigranulation Decision-Theoretic Rough Sets Based on Maximal Descriptors. IJCRS (2) 2017: 238-248 - 2016
- [c3]Caihui Liu, Meizhi Wang:
Optimistic Decision-Theoretic Rough Sets in Multi-covering Space. IJCRS 2016: 282-293 - 2015
- [c2]Caihui Liu, Meizhi Wang, Yanfei Dai, Yueli Luo:
A New Subsystem-Based Definition of Generalized Rough Set Model. RSFDGrC 2015: 82-89 - 2014
- [c1]Caihui Liu, Meizhi Wang, Yujiang Liu, Min Wang:
Multi-granulation Rough Sets Based on Central Sets. RSKT 2014: 59-68
Coauthor Index
aka: Jaydeep Kulkarni
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