Meizhi Wang - RankMe

21 papers A* 1C 1Journal 3Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Cancer type and survival prediction based on transcriptomic feature map. Comput. Biol. Medicine Ming Yan, Zirou Dong, Zhaopo Zhu, Chengliang Qiao, Meizhi Wang, Zhixia Teng, Yongqiang Xing, Guojun Liu, Guoqing Liu, Lu Cai, Hu Meng
2025	—	`conf`	Photonic Side-Channel Analyzer: Enabling Security-Aware Physical Design Methodology. ISPD Meizhi Wang, Yi-Ru Chen, S. S. Teja Nibhanupudi, Elham Amini, Antonio Saavedra, Yinan Wang, Daniel Wasserman, Jean-Pierre Seifert, Jaydeep P. Kulkarni
2024	—	`conf`	CILP: An Arbitrary-bit Precision All-digital Compute-in-memory Solver for Integer Linear Programming Problems. CICC Mengtian Yang, Yipeng Wang, Shanshan Xie, Chieh-Pu Lo, Meizhi Wang, Sirish Oruganti, Rishabh Sehgal, Jaydeep P. Kulkarni
2024	—	`conf`	Power and EM Side-Channel-Attack-Resilient AES-128 Core with Round-Aligned Globally-Synchronous-Locally-Asynchronous Operation Based on Tunable Replica Circuits. ISSCC Sirish Oruganti, Meizhi Wang, Vishnuvardhan V. Iyer, Yipeng Wang, Mengtian Yang, Raghavan Kumar, Sanu K. Mathew, Jaydeep P. Kulkarni
2024	—	`conf`	Randomization Approaches for Secure SAR ADC Design Resilient Against Power Side-Channel Attacks. HOST Sumanth N. Karanth, Sirish Oruganti, Meizhi Wang, Jaydeep P. Kulkarni
2023	—	`conf`	A GNN Computing-in-Memory Macro and Accelerator with Analog-Digital Hybrid Transformation and CAMenabled Search-reduce. CICC Yipeng Wang, Shanshan Xie, Jacob N. Rohan, Meizhi Wang, Mengtian Yang, Sirish Oruganti, Jaydeep P. Kulkarni
2023	J	`jnl`	An In-Memory-Computing Charge-Domain Ternary CNN Classifier. IEEE J. Solid State Circuits Xiangxing Yang, Keren Zhu, Xiyuan Tang, Meizhi Wang, Mingtao Zhan, Nanshu Lu, Jaydeep P. Kulkarni, David Z. Pan, Yongpan Liu, Nan Sun
2023	—	`conf`	CIMGN: An Energy-efficient All-digital Compute-in-memory Graph Neural Network Processor. ESSCIRC Yipeng Wang, Mengtian Yang, Shanshan Xie, Meizhi Wang, Jaydeep P. Kulkarni
2023	A*	`conf`	Invited: Buried Power Rails and Back-side Power Grids: Prospects and Challenges. DAC S. S. Teja Nibhanupudi, Sirish Oruganti, Rahul Mathur, Nishant Gupta, Meizhi Wang, Jaydeep P. Kulkarni
2023	—	`conf`	Snap-SAT: A One-Shot Energy-Performance-Aware All-Digital Compute-in-Memory Solver for Large-Scale Hard Boolean Satisfiability Problems. ISSCC Shanshan Xie, Mengtian Yang, S. Andrew Lanham, Yipeng Wang, Meizhi Wang, Sirish Oruganti, Jaydeep P. Kulkarni
2022	—	`conf`	Fine-Grained Electromagnetic Side-Channel Analysis Resilient Secure AES Core with Stacked Voltage Domains and Spatio-temporally Randomized Circuit Blocks. ESSCIRC Meizhi Wang, Sirish Oruganti, Shanshan Xie, Raghavan Kumar, Sanu Mathew, Jaydeep P. Kulkarni
2022	J	`jnl`	Ising-CIM: A Reconfigurable and Scalable Compute Within Memory Analog Ising Accelerator for Solving Combinatorial Optimization Problems. IEEE J. Solid State Circuits Shanshan Xie, Siddhartha Raman Sundara Raman, Can Ni, Meizhi Wang, Mengtian Yang, Jaydeep P. Kulkarni
2021	C	`conf`	A Systematic Evaluation of EM and Power Side-Channel Analysis Attacks on AES Implementations. ISI Vishnuvardhan V. Iyer, Meizhi Wang, Jaydeep P. Kulkarni, Ali E. Yilmaz
2021	—	`conf`	An In-Memory-Computing Charge-Domain Ternary CNN Classifier. CICC Xiangxing Yang, Keren Zhu, Xiyuan Tang, Meizhi Wang, Mingtao Zhan, Nanshu Lu, Jaydeep P. Kulkarni, David Z. Pan, Yongpan Liu, Nan Sun
2021	—	`conf`	Galvanically Isolated, Power and Electromagnetic Side-Channel Attack Resilient Secure AES Core with Integrated Charge Pump based Power Management. CICC Meizhi Wang, Shanshan Xie, Ping Na Li, Aseem Sayal, Ge Li, Vishnuvardhan V. Iyer, Aditya Thimmaiah, Michael Orshansky, Ali E. Yilmaz, Jaydeep P. Kulkarni
2021	—	`conf`	Physical Design Strategies for Mitigating Fine-Grained Electromagnetic Side-Channel Attacks. CICC Meizhi Wang, Vishnuvardhan V. Iyer, Shanshan Xie, Ge Li, Sanu K. Mathew, Raghavan Kumar, Michael Orshansky, Ali E. Yilmaz, Jaydeep P. Kulkarni
2018	—	`conf`	Covering-Based Optimistic-Pessimistic Multigranulation Decision-Theoretic Rough Sets. IJCSR Caihui Liu, Jin Qian, Nan Zhang, Meizhi Wang
2017	—	`conf`	Covering-Based Optimistic Multigranulation Decision-Theoretic Rough Sets Based on Maximal Descriptors. IJCRS (2) Caihui Liu, Meizhi Wang, Nan Zhang
2016	—	`conf`	Optimistic Decision-Theoretic Rough Sets in Multi-covering Space. IJCRS Caihui Liu, Meizhi Wang
2015	—	`conf`	A New Subsystem-Based Definition of Generalized Rough Set Model. RSFDGrC Caihui Liu, Meizhi Wang, Yanfei Dai, Yueli Luo
2014	—	`conf`	Multi-granulation Rough Sets Based on Central Sets. RSKT Caihui Liu, Meizhi Wang, Yujiang Liu, Min Wang