activity
20212025
most citedBlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant Weight Matrices

3 citations · 4 across the 8 of their papers we have counts for

collaborators

9 papers

cs.DC2025

Agent.xpu: Efficient Scheduling of Agentic LLM Workloads on Heterogeneous SoC

Xinming Wei, Jiahao Zhang, Haoran Li +6

Personal LLM agents increasingly combine foreground reactive interactions with background proactive monitoring, forming long-lived, stateful LLM flows that interleave prefill and t…

math.OC2024

Floorplanning with I/O assignment via feasibility-seeking and superiorization methods

Shan Yu, Yair Censor, Guojie Luo

The feasibility-seeking approach offers a systematic framework for managing and resolving intricate constraints in continuous problems, making it a promising avenue to explore in t…

cs.AR2023

MEC: An Open-source Fine-grained Mapping Equivalence Checking Tool for FPGA

Liwei Ni, Zonglin Yang, Jiaxi Zhang +6

Technology mapping is an essential step in EDA flow. However, the function of the circuit may be changed after technology mapping, and equivalence checking (EC) based verification…

cs.LG2023

Fast Exact NPN Classification with Influence-aided Canonical Form

Yonghe Zhang, Liwei Ni, Jiaxi Zhang +3

NPN classification has many applications in the synthesis and verification of digital circuits. The canonical-form-based method is the most common approach, designing a canonical f…

cs.AR2023★ 1 cited

OpenPARF: An Open-Source Placement and Routing Framework for Large-Scale Heterogeneous FPGAs with Deep Learning Toolkit

Jing Mai, Jiarui Wang, Zhixiong Di +3

This paper proposes OpenPARF, an open-source placement and routing framework for large-scale FPGA designs. OpenPARF is implemented with the deep learning toolkit PyTorch and suppor…

math.OC2023

Per-RMAP: Feasibility-Seeking and Superiorization Methods for Floorplanning with I/O Assignment

Shan Yu, Yair Censor, Ming Jiang +1

The feasibility-seeking approach provides a systematic scheme to manage and solve complex constraints for continuous problems, and we explore it for the floorplanning problems with…

cs.CC2023

Rethinking NPN Classification from Face and Point Characteristics of Boolean Functions

Jiaxi Zhang, Shenggen Zheng, Liwei Ni +2

NPN classification is an essential problem in the design and verification of digital circuits. Most existing works explored variable symmetries and cofactor signatures to develop t…

cs.CC2021

Enhanced Fast Boolean Matching based on Sensitivity Signatures Pruning

Jiaxi Zhang, Liwei Ni, Shenggen Zheng +4

Boolean matching is significant to digital integrated circuits design. An exhaustive method for Boolean matching is computationally expensive even for functions with only a few var…

cs.AI2021★ 3 cited

BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant Weight Matrices

Zhe Zhou, Bizhao Shi, Zhe Zhang +3

In recent years, Graph Neural Networks (GNNs) appear to be state-of-the-art algorithms for analyzing non-euclidean graph data. By applying deep-learning to extract high-level repre…