GraphM: an efficient storage system for high throughput of concurrent graph processing. - Jin Zhao 003; Yu Zhang 027; Xiaofei Liao; Ligang He; Bingsheng He; Hai Jin 001; Haikun Liu; Yicheng Chen (SC, 2019)

CGraph: A Distributed Storage and Processing System for Concurrent Iterative Graph Analysis Jobs. - Yu Zhang 027; Jin Zhao 003; Xiaofei Liao; Hai Jin 001; Lin Gu 002; Haikun Liu; Bingsheng He; Ligang He (ACM Trans. Storage, 2019)

LCCG: a locality-centric hardware accelerator for high throughput of concurrent graph processing. - Jin Zhao 003; Yu Zhang 027; Xiaofei Liao; Ligang He; Bingsheng He; Hai Jin 001; Haikun Liu (SC, 2021)

TDGraph: a topology-driven accelerator for high-performance streaming graph processing. - Jin Zhao 003; Yun Yang 001; Yu Zhang 027; Xiaofei Liao; Lin Gu 002; Ligang He; Bingsheng He; Hai Jin 001; Haikun Liu; Xinyu Jiang; Hui Yu (ISCA, 2022)

GIDN: A Lightweight Graph Inception Diffusion Network for High-efficient Link Prediction. - Zixiao Wang 005; Yuluo Guo; Jin Zhao 003; Yu Zhang 027; Hui Yu; Xiaofei Liao; Hai Jin 001; Biao Wang; Ting Yu (CoRR, 2022)

Toward High-Performance Delta-Based Iterative Processing with a Group-Based Approach. - Hui Yu; Xinyu Jiang; Jin Zhao 003; Hao Qi 004; Yu Zhang 027; Xiaofei Liao; Haikun Liu; Fubing Mao; Hai Jin 001 (J. Comput. Sci. Technol., 2022)

GGraph: An Efficient Structure-Aware Approach for Iterative Graph Processing. - Beibei Si; Yuxuan Liang; Jin Zhao 003; Yu Zhang 027; Xiaofei Liao; Hai Jin 001; Haikun Liu; Lin Gu 002 (IEEE Trans. Big Data, 2022)

A Structure-Aware Storage Optimization for Out-of-Core Concurrent Graph Processing. - Xiaofei Liao; Jin Zhao 003; Yu Zhang 027; Bingsheng He; Ligang He; Hai Jin 001; Lin Gu 002 (IEEE Trans. Computers, 2022)

PSMiner: A Pattern-Aware Accelerator for High-Performance Streaming Graph Pattern Mining. - Hao Qi 004; Yu Zhang 027; Ligang He; Kang Luo; Jun Huang; Haoyu Lu; Jin Zhao 003; Hai Jin 001 (DAC, 2023)

SaGraph: A Similarity-aware Hardware Accelerator for Temporal Graph Processing. - Jin Zhao 003; Yu Zhang 027; Jian Cheng; Yiyang Wu; Chuyue Ye; Hui Yu; Zhiying Huang; Hai Jin 001; Xiaofei Liao; Lin Gu 002; Haikun Liu (DAC, 2023)

Graph for Science: From API based Programming to Graph Engine based Programming for HPC. - Yu Zhang 027; Zixiao Wang 005; Jin Zhao 003; Yuluo Guo; Hai Jin 001; Hui Yu; Zhiying Huang; Xuanhua Shi; Xiaofei Liao (CoRR, 2023)

EGraph: Efficient Concurrent GPU-Based Dynamic Graph Processing. - Yu Zhang 027; Yuxuan Liang; Jin Zhao 003; Fubing Mao; Lin Gu 002; Xiaofei Liao; Hai Jin 001; Haikun Liu; Song Guo 001; Yangqing Zeng; Hang Hu 018; Chen Li; et al. (IEEE Trans. Knowl. Data Eng., 2023)

GraphTune: An Efficient Dependency-Aware Substrate to Alleviate Irregularity in Concurrent Graph Processing. - Jin Zhao 003; Yu Zhang 027; Ligang He; Qikun Li; Xiang Zhang; Xinyu Jiang; Hui Yu; Xiaofei Liao; Hai Jin 001; Lin Gu 002; Haikun Liu; Bingsheng He; et al. (ACM Trans. Archit. Code Optim., 2023)

Accelerating Graph Convolutional Networks Through a PIM-Accelerated Approach. - Hai Jin 001; Dan Chen 006; Long Zheng 003; Yu Huang 013; Pengcheng Yao; Jin Zhao 003; Xiaofei Liao; Wenbin Jiang 001 (IEEE Trans. Computers, 2023)

RACE: An Efficient Redundancy-aware Accelerator for Dynamic Graph Neural Network. - Hui Yu; Yu Zhang 027; Jin Zhao 003; Yujian Liao; Zhiying Huang; Donghao He; Lin Gu 002; Hai Jin 001; Xiaofei Liao; Haikun Liu; Bingsheng He; Jianhui Yue (ACM Trans. Archit. Code Optim., 2023)

PSNE: Efficient Spectral Sparsification Algorithms for Scaling Network Embedding. - Longlong Lin; Yunfeng Yu; Zihao Wang; Zeli Wang; Yuying Zhao; Jin Zhao 003; Tao Jia 001 (CIKM, 2024)

CDA-GNN: A Chain-driven Accelerator for Efficient Asynchronous Graph Neural Network. - Hui Yu; Yu Zhang 027; Ligang He; Donghao He; Qikun Li; Jin Zhao 003; Xiaofei Liao; Hai Jin 001; Lin Gu 002; Haikun Liu (DAC, 2024)

RTGA: A Redundancy-free Accelerator for High-Performance Temporal Graph Neural Network Inference. - Hui Yu; Yu Zhang 027; Andong Tan; Chenze Lu; Jin Zhao 003; Xiaofei Liao; Hai Jin 001; Haikun Liu (DAC, 2024)

LSGraph: A Locality-centric High-performance Streaming Graph Engine. - Hao Qi 004; Yiyang Wu; Ligang He; Yu Zhang 027; Kang Luo; Minzhi Cai; Hai Jin 001; Zhan Zhang; Jin Zhao 003 (EuroSys, 2024)

PSMC: Provable and Scalable Algorithms for Motif Conductance Based Graph Clustering. - Longlong Lin; Tao Jia 001; Zeli Wang; Jin Zhao 003; Rong-Hua Li (KDD, 2024)

RAHP: A Redundancy-aware Accelerator for High-performance Hypergraph Neural Network. - Hui Yu; Yu Zhang 027; Ligang He; Yingqi Zhao; Xintao Li; Ruida Xin; Jin Zhao 003; Xiaofei Liao; Haikun Liu; Bingsheng He; Hai Jin 001 (MICRO, 2024)

Towards High-Performance Graph Processing: From a Hardware/Software Co-Design Perspective. - Xiaofei Liao; Wenju Zhao; Hai Jin 001; Pengcheng Yao; Yu Huang 013; Qinggang Wang; Jin Zhao 003; Long Zheng 003; Yu Zhang 027; Zhiyuan Shao (J. Comput. Sci. Technol., 2024)

Computing Power Networking Meets Blockchain: A Reputation-Enhanced Trading Framework for Decentralized IoT Cloud Services. - Li Lin 001; Jiapeng Wu; Zhi Zhou 006; Jin Zhao 003; Peng Li 017; Jinbo Xiong (IEEE Internet Things J., 2024)

OHMiner: An Overlap-centric System for Efficient Hypergraph Pattern Mining. - Hao Qi 004; Kang Luo; Ligang He; Yu Zhang 027; Minzhi Cai; Jingxin Dai; Bingsheng He; Hai Jin 001; Zhan Zhang; Jin Zhao 003; Hengshan Yue; Hui Yu; et al. (EuroSys, 2025)

An Efficient ReRAM-based Accelerator for Asynchronous Iterative Graph Processing. - Jin Zhao 003; Yu Zhang 027; Donghao He; Qikun Li; Weihang Yin; Hui Yu; Hao Qi 004; Xiaofei Liao; Hai Jin 001; Haikun Liu; Linchen Yu; Zhan Zhang (ACM Trans. Archit. Code Optim., 2025)

Provable Higher-Order Graph Clustering: The Power of Peeling-Based Approaches. - Longlong Lin; Zeli Wang; Rong-Hua Li; Qiyu Liu; Hongchao Qin; Jin Zhao 003 (IEEE Trans. Knowl. Data Eng., 2025)