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ORCIDShanshan Xie
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j12]Shanshan Xie
, Can Ni, Aseem Sayal, Pulkit Jain, Fatih Hamzaoglu, Jaydeep P. Kulkarni:
eDRAM-CIM: Reconfigurable Charge Domain Compute-In-Memory Design With Embedded Dynamic Random Access Memory Array Realizing Adaptive Data Converters. IEEE J. Solid State Circuits 59(6): 1950-1961 (2024)- [j11]Shanshan Xie, Yi Yang, Mengyin Fu, Jingyue Zheng:
A Cognition-Inspired Human-Like Decision-Making Method for Automated Vehicles. IEEE Trans. Intell. Transp. Syst. 25(8): 9852-9862 (2024) - [c19]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 - 2023
- [j10]Rishabh Sehgal, Tanmay Thareja, Shanshan Xie, Can Ni, Jaydeep P. Kulkarni:
A Bit-Serial, Compute-in-SRAM Design Featuring Hybrid-Integrating ADCs and Input Dependent Binary Scaled Precharge Eliminating DACs for Energy-Efficient DNN Inference. IEEE J. Solid State Circuits 58(7): 2109-2124 (2023) - [j9]Shanshan Xie, Yan Zhang, Danjv Lv, Xu Chen, Jing Lu, Jiang Liu:
A new improved maximal relevance and minimal redundancy method based on feature subset. J. Supercomput. 79(3): 3157-3180 (2023) - [c18]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 - [c17]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 - [c16]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 - [c15]Daiwei Li, Liang Gao, Bobo Jia, Yi Yang, Mengyin Fu, Shanshan Xie:
An Environmental and Behavioral-oriented Search-based Trajectory Planning Approach for Tractor-trailer System in Narrow Environment. ITSC 2023: 3825-3830 - 2022
- [j8]Lizeng Gong, Shanshan Xie, Yan Zhang, Mengyao Wang, Xiaoyan Wang:
Hybrid Feature Selection Method Based on Feature Subset and Factor Analysis. IEEE Access 10: 120792-120803 (2022) - [j7]Shanshan Xie, Jing Lu, Jiang Liu, Yan Zhang, Danjv Lv, Xu Chen, Youjie Zhao:
Multi-view features fusion for birdsong classification. Ecol. Informatics 72: 101893 (2022) - [j6]Donghyuk Kim, Chengshuo Yu, Shanshan Xie, Yuzong Chen, Joo-Young Kim, Bongjin Kim, Jaydeep P. Kulkarni, Tony Tae-Hyoung Kim:
An Overview of Processing-in-Memory Circuits for Artificial Intelligence and Machine Learning. IEEE J. Emerg. Sel. Topics Circuits Syst. 12(2): 338-353 (2022) - [j5]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) - [j4]Shanshan Xie, Shitao Chen, Jingyue Zheng, Masayoshi Tomizuka, Nanning Zheng, Jianqiang Wang:
From Human Driving to Automated Driving: What Do We Know About Drivers? IEEE Trans. Intell. Transp. Syst. 23(7): 6189-6205 (2022) - [c14]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 - [c13]Shanshan Xie, Can Ni, Pulkit Jain, Fatih Hamzaoglu, Jaydeep P. Kulkarni:
Gain-Cell CIM: Leakage and Bitline Swing Aware 2T1C Gain-Cell eDRAM Compute in Memory Design with Bitline Precharge DACs and Compact Schmitt Trigger ADCs. VLSI Technology and Circuits 2022: 112-113 - 2021
- [c12]Jiang Liu, Yan Zhang, Danjv Lv, Jing Lu, Haifeng Xu, Shanshan Xie, Xin Huang, Jie Zhao:
Research on Yunnan Folk Music Classification Based on the Features of HHT-MFCC. AIPR 2021: 393-398 - [c11]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 - [c10]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 - [c9]Shanshan Xie, Haifeng Xu, Jiang Liu, Yan Zhang, Danjv Lv:
Bird Songs Recognition Based on Ensemble Extreme Learning Machine. ICMLC 2021: 444-449 - [c8]Siddhartha Raman Sundara Raman, Shanshan Xie, Jaydeep P. Kulkarni:
Compute-in-eDRAM with Backend Integrated Indium Gallium Zinc Oxide Transistors. ISCAS 2021: 1-5 - [c7]Shanshan Xie, Can Ni, Aseem Sayal, Pulkit Jain, Fatih Hamzaoglu, Jaydeep P. Kulkarni:
16.2 eDRAM-CIM: Compute-In-Memory Design with Reconfigurable Embedded-Dynamic-Memory Array Realizing Adaptive Data Converters and Charge-Domain Computing. ISSCC 2021: 248-250 - [i2]Shanshan Xie, Tim Hillel, Ying Jin:
An Early Stopping Bayesian Data Assimilation Approach for Mixed-Logit Estimation. CoRR abs/2101.11159 (2021) - 2020
- [j3]Jinquan Li, Shanshan Xie, Zhe Chen, Hongwen Liu, Jia Kang, Zixuan Fan, Wenjie Li:
A Shallow Convolutional Neural Network for Apple Classification. IEEE Access 8: 111683-111692 (2020) - [c6]Mengyuan Li, Shanshan Xie, Nan Xiao, Litian Xiao:
Highly Reliable Autonomous Redundancy for Automatic Control on Ground Test and Launch Facilities in Launch Site. CSAE 2020: 79:1-79:6 - [c5]Shanshan Xie, Shitao Chen, Masayoshi Tomizuka, Nanning Zheng, Jianqiang Wang:
To Develop Human-like Automated Driving Strategy Based on Cognitive Construction: Appraisal and Perspective. ITSC 2020: 1-8 - [c4]Shanshan Xie, Shitao Chen, Nanning Zheng, Jianqiang Wang:
Modeling Methodology of Driver-Vehicle-Environment System Dynamics in Mixed Driving Situation. IV 2020: 1984-1991
2010 – 2019
- 2019
- [j2]Shanshan Xie, Yuxia Jiao:
That's A Scientist Should Do - A Dialog with Tomas Lindahl. Genom. Proteom. Bioinform. 17(3): 223-225 (2019) - 2018
- [c3]Devdip Sen, John A. McNeill, Shanshan Xie, Yitzhak Mendelson, Raymond Dunn, Kelli Hickle:
Time-Domain-Based Measurement Technique for Pressure Measurement in a Wearable Wireless Sensor Patch. ISCAS 2018: 1-5 - [c2]Shanshan Xie, Devdip Sen, John A. McNeill, Yitzhak Mendelson, Raymond Dunn, Kelli Hickle:
A Predictive Model for Force-Sensing Resistor Nonlinearity for Pressure Measurement in a Wearable Wireless Sensor Patch. MWSCAS 2018: 476-479 - 2017
- [j1]Renbin Xiao, Shanshan Xie, Tinggui Chen:
Vulnerability of interaction-based supply chain network and its self-organised criticality. Int. J. Comput. Sci. Math. 8(4): 324-341 (2017) - 2016
- [i1]Le Dong, Na Lv, Qianni Zhang, Shanshan Xie, Ling He, Mengdie Mao:
A Distributed Deep Representation Learning Model for Big Image Data Classification. CoRR abs/1607.00501 (2016) - 2014
- [c1]Yan Liang, Le Dong, Shanshan Xie, Na Lv, Zongyi Xu:
Compact feature based clustering for large-scale image retrieval. ICME Workshops 2014: 1-6
Coauthor Index
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last updated on 2024-10-07 21:15 CEST by the dblp team
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