Shanshan Xie

40 papers A* 1C 3Misc 1Journal 18Unranked 17
YearRankTypeTitle / Venue / Authors
2026 — conf
10.6 A Hybrid-Bonded 12.1Tops/mm
ISSCC
Phil C. Knag, Gregory K. Chen, Shanshan Xie, Satish Yada, Wei Wu, Yu-Shiang Lin, Alexander Kashirin, Xiemei Meng, Russell Criss, Ana Sonia Leon, Carlos Tokunaga, Ram K. Krishnamurthy, James W. Tschanz
2026 J jnl
Decoding nature's melody: significance and challenges of machine learning in assessing bird diversity via soundscape analysis.
Artif. Intell. Rev.
Jiangjian Xie, Shanshan Xie, Yang Liu, Xin Jing, Mengkun Zhu, Linlin Xie, Junguo Zhang, Kun Qian, Björn W. Schuller
2025 J jnl
A Review of Trajectory Planning and Tracking Methods for the Tractor-Trailer System.
IEEE Intell. Transp. Syst. Mag.
Yi Yang, Liang Gao, Daiwei Li, Bobo Jia, Zhexi Hu, Shanshan Xie, Mengyin Fu
2025 J jnl
A lightweight self-attention metric network for bird species recognition in intelligent bird repellent equipment.
Eng. Appl. Artif. Intell.
Jiangjian Xie, Shanshan Xie, Baican Li, Yujie Zhong, Chunhe Hu, Junguo Zhang, Björn W. Schuller
2025 — conf
Continuous Drifting Control Based on Maximal Safety Probability Learning with TD3 and Lagrangian.
ITSC
Haoyang Xi, Shanshan Xie, Yi Yang
2025 A* conf
Internal-Stably Energy-Saving Cooperative Control of Articulated Wheeled Robot with Distributed Drive Units.
ICRA
Yi Yang, Huishuai Peng, Zhexi Hu, Haoyu Li, Shanshan Xie
2025 J jnl
Unconventional Computing Using Ising Accelerators.
Computer
Jaydeep P. Kulkarni, Siddhartha Raman Sundara Raman, Shanshan Xie, Chieh-Pu Lo
2024 J jnl
A Cognition-Inspired Human-Like Decision-Making Method for Automated Vehicles.
IEEE Trans. Intell. Transp. Syst.
Shanshan Xie, Yi Yang, Mengyin Fu, Jingyue Zheng
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 J jnl
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
Shanshan Xie, Can Ni, Aseem Sayal, Pulkit Jain, Fatih Hamzaoglu, Jaydeep P. Kulkarni
2023 J jnl
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
Rishabh Sehgal, Tanmay Thareja, Shanshan Xie, Can Ni, 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
A new improved maximal relevance and minimal redundancy method based on feature subset.
J. Supercomput.
Shanshan Xie, Yan Zhang, Danjv Lv, Xu Chen, Jing Lu, Jiang Liu
2023 — conf
An Environmental and Behavioral-oriented Search-based Trajectory Planning Approach for Tractor-trailer System in Narrow Environment.
ITSC
Daiwei Li, Liang Gao, Bobo Jia, Yi Yang, Mengyin Fu, Shanshan Xie
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 — 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 J jnl
An Overview of Processing-in-Memory Circuits for Artificial Intelligence and Machine Learning.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Donghyuk Kim, Chengshuo Yu, Shanshan Xie, Yuzong Chen, Joo-Young Kim, Bongjin Kim, Jaydeep P. Kulkarni, Tony Tae-Hyoung Kim
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
From Human Driving to Automated Driving: What Do We Know About Drivers?
IEEE Trans. Intell. Transp. Syst.
Shanshan Xie, Shitao Chen, Jingyue Zheng, Masayoshi Tomizuka, Nanning Zheng, Jianqiang Wang
2022 — conf
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
Shanshan Xie, Can Ni, Pulkit Jain, Fatih Hamzaoglu, Jaydeep P. Kulkarni
2022 J jnl
Hybrid Feature Selection Method Based on Feature Subset and Factor Analysis.
IEEE Access
Lizeng Gong, Shanshan Xie, Yan Zhang, Mengyao Wang, Xiaoyan Wang
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
2022 J jnl
Multi-view features fusion for birdsong classification.
Ecol. Informatics
Shanshan Xie, Jing Lu, Jiang Liu, Yan Zhang, Danjv Lv, Xu Chen, Youjie Zhao
2021 — conf
16.2 eDRAM-CIM: Compute-In-Memory Design with Reconfigurable Embedded-Dynamic-Memory Array Realizing Adaptive Data Converters and Charge-Domain Computing.
ISSCC
Shanshan Xie, Can Ni, Aseem Sayal, Pulkit Jain, Fatih Hamzaoglu, Jaydeep P. Kulkarni
2021 J jnl
An Early Stopping Bayesian Data Assimilation Approach for Mixed-Logit Estimation.
CoRR
Shanshan Xie, Tim Hillel, Ying Jin
2021 Misc conf
Bird Songs Recognition Based on Ensemble Extreme Learning Machine.
ICMLC
Shanshan Xie, Haifeng Xu, Jiang Liu, Yan Zhang, Danjv Lv
2021 C conf
Compute-in-eDRAM with Backend Integrated Indium Gallium Zinc Oxide Transistors.
ISCAS
Siddhartha Raman Sundara Raman, Shanshan Xie, Jaydeep P. Kulkarni
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
2021 — conf
Research on Yunnan Folk Music Classification Based on the Features of HHT-MFCC.
AIPR
Jiang Liu, Yan Zhang, Danjv Lv, Jing Lu, Haifeng Xu, Shanshan Xie, Xin Huang, Jie Zhao
2020 J jnl
A Shallow Convolutional Neural Network for Apple Classification.
IEEE Access
Jinquan Li, Shanshan Xie, Zhe Chen, Hongwen Liu, Jia Kang, Zixuan Fan, Wenjie Li
2020 — conf
Highly Reliable Autonomous Redundancy for Automatic Control on Ground Test and Launch Facilities in Launch Site.
CSAE
Mengyuan Li, Shanshan Xie, Nan Xiao, Litian Xiao
2020 C conf
Modeling Methodology of Driver-Vehicle-Environment System Dynamics in Mixed Driving Situation.
IV
Shanshan Xie, Shitao Chen, Nanning Zheng, Jianqiang Wang
2020 — conf
To Develop Human-like Automated Driving Strategy Based on Cognitive Construction: Appraisal and Perspective.
ITSC
Shanshan Xie, Shitao Chen, Masayoshi Tomizuka, Nanning Zheng, Jianqiang Wang
2019 J jnl
That's A Scientist Should Do - A Dialog with Tomas Lindahl.
Genom. Proteom. Bioinform.
Shanshan Xie, Yuxia Jiao
2018 — conf
A Predictive Model for Force-Sensing Resistor Nonlinearity for Pressure Measurement in a Wearable Wireless Sensor Patch.
MWSCAS
Shanshan Xie, Devdip Sen, John A. McNeill, Yitzhak Mendelson, Raymond Dunn, Kelli Hickle
2018 C conf
Time-Domain-Based Measurement Technique for Pressure Measurement in a Wearable Wireless Sensor Patch.
ISCAS
Devdip Sen, John A. McNeill, Shanshan Xie, Yitzhak Mendelson, Raymond Dunn, Kelli Hickle
2017 J jnl
Vulnerability of interaction-based supply chain network and its self-organised criticality.
Int. J. Comput. Sci. Math.
Renbin Xiao, Shanshan Xie, Tinggui Chen
2016 J jnl
A Distributed Deep Representation Learning Model for Big Image Data Classification.
CoRR
Le Dong, Na Lv, Qianni Zhang, Shanshan Xie, Ling He, Mengdie Mao
2014 — conf
Compact feature based clustering for large-scale image retrieval.
ICME Workshops
Yan Liang, Le Dong, Shanshan Xie, Na Lv, Zongyi Xu