Hanchen Yang

According to our database, Hanchen Yang authored at least 12 papers between 2024 and 2026.

Collaborative distances:

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

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, Muhammed Ahosan Ul Karim, Harsono Simka, Shimeng Yu

IEEE Micro, 2026

Towards System-2 AI: Workloads and Characterizations of Energy-Based Models.

Hanchen Yang, Jiayi Qian, Zishen Wan, Jingtian Dang, Ziwei Li, Yilun Du, Tushar Krishna

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2026

REASON: Accelerating Probabilistic Logical Reasoning for Scalable Neuro-Symbolic Intelligence.

Zishen Wan, Che-Kai Liu, Jiayi Qian, Hanchen Yang, Arijit Raychowdhury, Tushar Krishna

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2026

Compositional AI Beyond LLMs: System Implications of Neuro-Symbolic-Probabilistic Architectures.

Zishen Wan, Hanchen Yang, Jiayi Qian, Ritik Raj, Joongun Park, Chenyu Wang, Arijit Raychowdhury, Tushar Krishna

Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

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, Muhammed Ahosan Ul Karim, Harsono Simka, Shimeng Yu

CoRR, August, 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

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI.

Hanchen Yang, Zishen Wan, Ritik Raj, Joongun Park, Ziwei Li, Ananda Samajdar, Arijit Raychowdhury, Tushar Krishna

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

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 Lin, Mohamed Ibrahim, Jan M. Rabaey, Tushar Krishna, Arijit Raychowdhury

IEEE Trans. Circuits Syst. Artif. Intell., September, 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

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