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 (ACCV (4), 2022)

COSIME: FeFET Based Associative Memory for In-Memory Cosine Similarity Search. - Che-Kai Liu; Haobang Chen; Mohsen Imani; Kai Ni 004; Arman Kazemi; Ann Franchesca Laguna; Michael T. Niemier; Xiaobo Sharon Hu; Liang Zhao; Cheng Zhuo; Xunzhao Yin (ICCAD, 2022)

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 (DATE, 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 004; Mohsen Imani; X. Sharon Hu; Jianyi Yang 003; Cheng Zhuo; Xunzhao Yin (ICCAD, 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)

H3DFact: Heterogeneous 3D Integrated CIM for Factorization with Holographic Perceptual Representations. - Zishen Wan; Che-Kai Liu; Mohamed Ibrahim 002; Hanchen Yang; Samuel Spetalnick; Tushar Krishna; Arijit Raychowdhury (DATE, 2024)

FeReX: A Reconfigurable Design of Multi-Bit Ferroelectric Compute-in-Memory for Nearest Neighbor Search. - Zhicheng Xu; Che-Kai Liu; Chao Li 065; Ruibin Mao; Jianyi Yang 003; Thomas Kämpfe; Mohsen Imani; Can Li; Cheng Zhuo; Xunzhao Yin (DATE, 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 004; Michael T. Niemier; Xiaobo Sharon Hu; Cheng Zhuo; Xunzhao Yin (ICCAD, 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 005; Ananda Samajdar; Yingyan Celine Lin; Tushar Krishna; Arijit Raychowdhury (ISPASS, 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 005; Tushar Krishna; Yingyan Lin; Arijit Raychowdhury (CoRR, 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 005; Sixu Li; Youbin Kim; Ananda Samajdar; Yingyan Celine Lin; et al. (CoRR, 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., 2024)

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 (HPCA, 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 (NeuS, 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, 2025)

Cross-Layer Design of Vector-Symbolic Computing: Bridging Cognition and Brain-Inspired Hardware Acceleration. - Shuting Du; Mohamed Ibrahim 002; Zishen Wan; Luqi Zheng; Boheng Zhao; Zhenkun Fan; Che-Kai Liu; Tushar Krishna; Arijit Raychowdhury; Haitong Li (CoRR, 2025)