Zichao Yue

According to our database, Zichao Yue authored at least 9 papers between 2023 and 2026.

Collaborative distances:

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

2026

Revisiting Pre-Propagation GNNs: Robust Diffusion Operators and Hidden-State Re-Propagation.

Zichao Yue, Zhiru Zhang

CoRR, May, 2026

2025

Vesper: A Versatile Sparse Linear Algebra Accelerator With Configurable Compute Patterns.

Hanchen Jin, Zichao Yue, Zhongyuan Zhao, Yixiao Du, Chenhui Deng, Nitish Srivastava, Zhiru Zhang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., May, 2025

Understanding the Potential of FPGA-based Spatial Acceleration for Large Language Model Inference.

Hongzheng Chen, Jiahao Zhang, Yixiao Du, Shaojie Xiang, Zichao Yue, Niansong Zhang, Yaohui Cai, Zhiru Zhang

ACM Trans. Reconfigurable Technol. Syst., 2025

Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNs.

Zichao Yue, Chenhui Deng, Zhiru Zhang

Proceedings of the Eighth Conference on Machine Learning and Systems, 2025

2024

Scalable, Programmable and Dense: The HammerBlade Open-Source RISC-V Manycore.

Dai Cheol Jung, Max Ruttenberg, Paul Gao, Scott Davidson, Daniel Petrisko, Kangli Li, Aditya K. Kamath, Lin Cheng, Shaolin Xie, Peitian Pan, Zhongyuan Zhao, Zichao Yue, Bandhav Veluri, Sripathi Muralitharan, Adrian Sampson, Andrew Lumsdaine, Zhiru Zhang, Christopher Batten, Mark Oskin, Dustin Richmond, Michael Bedford Taylor

Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

Polynormer: Polynomial-Expressive Graph Transformer in Linear Time.

Chenhui Deng, Zichao Yue, Zhiru Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Comprehensive Evaluation of FPGA-Based Spatial Acceleration of LLMs.

Hongzheng Chen, Jiahao Zhang, Yixiao Du, Shaojie Xiang, Zichao Yue, Niansong Zhang, Yaohui Cai, Zhiru Zhang

Proceedings of the 2024 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2024

Less is More: Hop-Wise Graph Attention for Scalable and Generalizable Learning on Circuits.

Chenhui Deng, Zichao Yue, Cunxi Yu, Gokce Sarar, Ryan Carey, Rajeev Jain, Zhiru Zhang

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

Comprehensive Benchmarking of Binary Neural Networks on NVM Crossbar Architectures.

Ruirong Huang, Zichao Yue, Caroline Huang, Janarbek Matai, Zhiru Zhang

CoRR, 2023