Distributed Graph Processing System and Processing-in-memory Architecture with Precise Loop-carried Dependency Guarantee. - Youwei Zhuo; Jingji Chen; Gengyu Rao; Qinyi Luo; Yanzhi Wang; Hailong Yang; Depei Qian; Xuehai Qian (ACM Trans. Comput. Syst., 2019)

SympleGraph: distributed graph processing with precise loop-carried dependency guarantee. - Youwei Zhuo; Jingji Chen; Qinyi Luo; Yanzhi Wang; Hailong Yang; Depei Qian; Xuehai Qian (PLDI, 2020)

DwarvesGraph: A High-Performance Graph Mining System with Pattern Decomposition. - Jingji Chen; Xuehai Qian (CoRR, 2020)

IntersectX: An Accelerator for Graph Mining. - Gengyu Rao; Jingji Chen; Xuehai Qian (CoRR, 2020)

Kudu: An Efficient and Scalable Distributed Graph Pattern Mining Engine. - Jingji Chen; Xuehai Qian (CoRR, 2021)

SparseCore: stream ISA and processor specialization for sparse computation. - Gengyu Rao; Jingji Chen; Jason Yik; Xuehai Qian (ASPLOS, 2022)

DecoMine: A Compilation-Based Graph Pattern Mining System with Pattern Decomposition. - Jingji Chen; Xuehai Qian (ASPLOS (1), 2023)

Khuzdul: Efficient and Scalable Distributed Graph Pattern Mining Engine. - Jingji Chen; Xuehai Qian (ASPLOS (2), 2023)

GNNPipe: Accelerating Distributed Full-Graph GNN Training with Pipelined Model Parallelism. - Jingji Chen; Zhuoming Chen; Xuehai Qian (CoRR, 2023)

Mithril: A Scalable System for Deep GNN Training. - Jingji Chen; Zhuoming Chen; Xuehai Qian (HPCA, 2025)

Seed1.5-VL Technical Report. - Dong Guo; Faming Wu; Feida Zhu 005; Fuxing Leng; Guang Shi; Haobin Chen; Haoqi Fan 001; Jian Wang; Jianyu Jiang; Jiawei Wang; Jingji Chen; Jingjia Huang; et al. (CoRR, 2025)