H3DFact: Heterogeneous 3D Integrated CIM for Factorization with Holographic Perceptual Representations. - Zishen Wan; Che-Kai Liu; Mohamed Ibrahim 002; Hanchen Yang 001; Samuel Spetalnick; Tushar Krishna; Arijit Raychowdhury (DATE, 2024)

Towards Cognitive AI Systems: Workload and Characterization of Neuro-Symbolic AI. - Zishen Wan; Che-Kai Liu; Hanchen Yang 001; 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 001; Chaojian Li; Haoran You; Yonggan Fu; Cheng Wan 005; Tushar Krishna; Yingyan Lin 001; Arijit Raychowdhury (CoRR, 2024)

Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture. - Zishen Wan; Che-Kai Liu; Hanchen Yang 001; Ritik Raj; Chaojian Li; Haoran You; Yonggan Fu; Cheng Wan 005; Sixu Li; Youbin Kim; Ananda Samajdar; Yingyan Lin 001; et al. (IEEE Trans. Circuits Syst. Artif. Intell., 2024)

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI. - Hanchen Yang 001; Zishen Wan; Ritik Raj; Joongun Park; Ziwei Li; Ananda Samajdar; Arijit Raychowdhury; Tushar Krishna (DAC, 2025)

CogSys: Efficient and Scalable Neurosymbolic Cognition System via Algorithm-Hardware Co-Design. - Zishen Wan; Hanchen Yang 001; 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 001; Ritik Raj; Arijit Raychowdhury; Tushar Krishna (NeuS, 2025)

Architecting Long-Context LLM Acceleration with Packing-Prefetch Scheduler and Ultra-Large Capacity On-Chip Memories. - Ming-Yen Lee; Faaiq G. Waqar; Hanchen Yang 001; Muhammed Ahosan Ul Karim; Harsono Simka; Shimeng Yu (CoRR, 2025)

Compositional AI Beyond LLMs: System Implications of Neuro-Symbolic-Probabilistic Architectures. - Zishen Wan; Hanchen Yang 001; Jiayi Qian; Ritik Raj; Joongun Park; Chenyu Wang; Arijit Raychowdhury; Tushar Krishna (ASPLOS (1), 2026)

REASON: Accelerating Probabilistic Logical Reasoning for Scalable Neuro-Symbolic Intelligence. - Zishen Wan; Che-Kai Liu; Jiayi Qian; Hanchen Yang 001; Arijit Raychowdhury; Tushar Krishna (HPCA, 2026)

Towards System-2 AI: Workloads and Characterizations of Energy-Based Models. - Hanchen Yang 001; Jiayi Qian; Zishen Wan; Jingtian Dang; Ziwei Li; Yilun Du; Tushar Krishna (ISPASS, 2026)

Architecting Long-Context Large Language Model Acceleration With Packing-Prefetch Scheduler and Ultralarge Capacity On-Chip Memories. - Ming-Yen Lee; Faaiq G. Waqar; Hanchen Yang 001; Muhammed Ahosan Ul Karim; Harsono Simka; Shimeng Yu (IEEE Micro, 2026)