Che-Kai Liu

According to our database, Che-Kai Liu authored at least 17 papers between 2022 and 2025.

Collaborative distances:

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

2025

A 28nm 1.80Mb/mm2 Digital/Analog Hybrid SRAM-CIM Macro Using 2D-Weighted Capacitor Array for Complex Number Mac Operations.

Shota Konno, Che-Kai Liu, Sigang Ryu, Samuel Spetalnick, Arijit Raychowdhury

CoRR, August, 2025

Cross-Layer Design of Vector-Symbolic Computing: Bridging Cognition and Brain-Inspired Hardware Acceleration.

Shuting Du, Mohamed Ibrahim, Zishen Wan, Luqi Zheng, Boheng Zhao, Zhenkun Fan, Che-Kai Liu, Tushar Krishna, Arijit Raychowdhury, Haitong Li

CoRR, August, 2025

HyDra: SOT-CAM Based Vector Symbolic Macro for Hyperdimensional Computing.

Md Mizanur Rahaman Nayan, Che-Kai Liu, Zishen Wan, Arijit Raychowdhury, Azad J. Naeemi

CoRR, April, 2025

Efficient Processing of Neuro-Symbolic AI: A Tutorial and Cross-Layer Co-Design Case Study.

Zishen Wan, Che-Kai Liu, Hanchen Yang, Ritik Raj, Arijit Raychowdhury, Tushar Krishna

Proceedings of the International Conference on Neuro-symbolic Systems, 2025

CogSys: Efficient and Scalable Neurosymbolic Cognition System via Algorithm-Hardware Co-Design.

Zishen Wan, Hanchen Yang, Ritik Raj, Che-Kai Liu, Ananda Samajdar, Arijit Raychowdhury, Tushar Krishna

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

2024

In-Memory Acceleration of Hyperdimensional Genome Matching on Unreliable Emerging Technologies.

Hamza Errahmouni Barkam, Sanggeon Yun, Paul R. Genssler, Che-Kai Liu, Zhuowen Zou, Hussam Amrouch, Mohsen Imani

IEEE Trans. Circuits Syst. I Regul. Pap., April, 2024

Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture.

Zishen Wan, Che-Kai Liu, Hanchen Yang, Ritik Raj, Chaojian Li, Haoran You, Yonggan Fu, Cheng Wan, Sixu Li, Youbin Kim, Ananda Samajdar, Yingyan Celine Lin, Mohamed Ibrahim, Jan M. Rabaey, Tushar Krishna, Arijit Raychowdhury

CoRR, 2024

Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic AI.

Zishen Wan, Che-Kai Liu, Hanchen Yang, Chaojian Li, Haoran You, Yonggan Fu, Cheng Wan, Tushar Krishna, Yingyan Lin, Arijit Raychowdhury

CoRR, 2024

Towards Cognitive AI Systems: Workload and Characterization of Neuro-Symbolic AI.

Zishen Wan, Che-Kai Liu, Hanchen Yang, Ritik Raj, Chaojian Li, Haoran You, Yonggan Fu, Cheng Wan, Ananda Samajdar, Yingyan Celine Lin, Tushar Krishna, Arijit Raychowdhury

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2024

TAP-CAM: A Tunable Approximate Matching Engine based on Ferroelectric Content Addressable Memory.

Chenyu Ni, Sijie Chen, Che-Kai Liu, Liu Liu, Mohsen Imani, Thomas Kämpfe, Kai Ni, Michael T. Niemier, Xiaobo Sharon Hu, Cheng Zhuo, Xunzhao Yin

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

FeReX: A Reconfigurable Design of Multi-Bit Ferroelectric Compute-in-Memory for Nearest Neighbor Search.

Zhicheng Xu, Che-Kai Liu, Chao Li, Ruibin Mao, Jianyi Yang, Thomas Kämpfe, Mohsen Imani, Can Li, Cheng Zhuo, Xunzhao Yin

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

H3DFact: Heterogeneous 3D Integrated CIM for Factorization with Holographic Perceptual Representations.

Zishen Wan, Che-Kai Liu, Mohamed Ibrahim, Hanchen Yang, Samuel Spetalnick, Tushar Krishna, Arijit Raychowdhury

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023

Towards Efficient Hyperdimensional Computing Using Photonics.

Farbin Fayza, Cansu Demirkiran, Hanning Chen, Che-Kai Liu, Avi Mohan, Hamza Errahmouni Barkam, Sanggeon Yun, Mohsen Imani, David Zhang, Darius Bunandar, Ajay Joshi

CoRR, 2023

SEE-MCAM: Scalable Multi-Bit FeFET Content Addressable Memories for Energy Efficient Associative Search.

Shengxi Shou, Che-Kai Liu, Sanggeon Yun, Zishen Wan, Kai Ni, Mohsen Imani, X. Sharon Hu, Jianyi Yang, Cheng Zhuo, Xunzhao Yin

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

HDGIM: Hyperdimensional Genome Sequence Matching on Unreliable highly scaled FeFET.

Hamza Errahmouni Barkam, Sanggeon Yun, Paul R. Genssler, Zhuowen Zou, Che-Kai Liu, Hussam Amrouch, Mohsen Imani

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

2022

COSIME: FeFET Based Associative Memory for In-Memory Cosine Similarity Search.

Che-Kai Liu, Haobang Chen, Mohsen Imani, Kai Ni, Arman Kazemi, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu, Liang Zhao, Cheng Zhuo, Xunzhao Yin

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

Blind Super Resolution with Reference Images and Implicit Degradation Representation.

Huu-Phu Do, Po-Chih Hu, Hao-Chien Hsueh, Che-Kai Liu, Vu-Hoang Tran, Ching-Chun Huang

Proceedings of the Computer Vision - ACCV 2024, 2022