Zichao Yue

12 papers A* 3A 1Journal 7Unranked 1
YearRankTypeTitle / Venue / Authors
2025 — conf
Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNs.
MLSys
Zichao Yue, Chenhui Deng, Zhiru Zhang
2025 J jnl
Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNs.
CoRR
Zichao Yue, Chenhui Deng, Zhiru Zhang
2025 J jnl
Understanding the Potential of FPGA-based Spatial Acceleration for Large Language Model Inference.
ACM Trans. Reconfigurable Technol. Syst.
Hongzheng Chen, Jiahao Zhang, Yixiao Du, Shaojie Xiang, Zichao Yue, Niansong Zhang, Yaohui Cai, Zhiru Zhang
2025 J jnl
Vesper: A Versatile Sparse Linear Algebra Accelerator With Configurable Compute Patterns.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Hanchen Jin, Zichao Yue, Zhongyuan Zhao, Yixiao Du, Chenhui Deng, Nitish Srivastava, Zhiru Zhang
2024 A conf
A Comprehensive Evaluation of FPGA-Based Spatial Acceleration of LLMs.
FPGA
Hongzheng Chen, Jiahao Zhang, Yixiao Du, Shaojie Xiang, Zichao Yue, Niansong Zhang, Yaohui Cai, Zhiru Zhang
2024 A* conf
Less is More: Hop-Wise Graph Attention for Scalable and Generalizable Learning on Circuits.
DAC
Chenhui Deng, Zichao Yue, Cunxi Yu, Gokce Sarar, Ryan Carey, Rajeev Jain, Zhiru Zhang
2024 J jnl
Less is More: Hop-Wise Graph Attention for Scalable and Generalizable Learning on Circuits.
CoRR
Chenhui Deng, Zichao Yue, Cunxi Yu, Gokce Sarar, Ryan Carey, Rajeev Jain, Zhiru Zhang
2024 A* conf
Polynormer: Polynomial-Expressive Graph Transformer in Linear Time.
ICLR
Chenhui Deng, Zichao Yue, Zhiru Zhang
2024 J jnl
Polynormer: Polynomial-Expressive Graph Transformer in Linear Time.
CoRR
Chenhui Deng, Zichao Yue, Zhiru Zhang
2024 A* conf
Scalable, Programmable and Dense: The HammerBlade Open-Source RISC-V Manycore.
ISCA
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
2023 J jnl
Comprehensive Benchmarking of Binary Neural Networks on NVM Crossbar Architectures.
CoRR
Ruirong Huang, Zichao Yue, Caroline Huang, Janarbek Matai, Zhiru Zhang
2023 J jnl
Understanding the Potential of FPGA-Based Spatial Acceleration for Large Language Model Inference.
CoRR
Hongzheng Chen, Jiahao Zhang, Yixiao Du, Shaojie Xiang, Zichao Yue, Niansong Zhang, Yaohui Cai, Zhiru Zhang