Jin Zhao

37 papers A* 10A 6B 1Journal 18Unranked 2
YearRankTypeTitle / Venue / Authors
2026 B conf
DTMiner: A Data-Centric System for Efficient Temporal Motif Mining.
PPoPP
Yinbo Hou, Hao Qi, Ligang He, Jin Zhao, Yu Zhang, Hui Yu, Longlong Lin, Lin Gu, Wenbin Jiang, Xiaofei Liao, Hai Jin
2026 J jnl
NCSAC: Effective Neural Community Search via Attribute-Augmented Conductance.
IEEE Trans. Knowl. Data Eng.
Longlong Lin, Quanao Li, Miao Qiao, Zeli Wang, Jin Zhao, Rong-Hua Li, Xin Luo, Tao Jia
2026 A* conf
Scalable and Provable Biclique-Preserving Clustering: The Power of Counting-based Approaches.
WWW
Longlong Lin, Zeli Wang, Rong-Hua Li, Xiaohai Dai, Li Ni, Jin Zhao
2025 A* conf
A Data-Centric Hardware Accelerator for Efficient Adaptive Radix Tree.
DAC
Jin Zhao, Yu Zhang, Jun Huang, Weihang Yin, Hui Yu, Hao Qi, Zixiao Wang, Longlong Lin, Xiaofei Liao, Hai Jin
2025 — conf
Achieving Efficient Temporal Graph Transformation on the GPU.
APPT
Linchen Yu, Zihan Li, Jin Zhao, Longlong Lin, Hengshan Yue
2025 J jnl
An Efficient ReRAM-based Accelerator for Asynchronous Iterative Graph Processing.
ACM Trans. Archit. Code Optim.
Jin Zhao, Yu Zhang, Donghao He, Qikun Li, Weihang Yin, Hui Yu, Hao Qi, Xiaofei Liao, Hai Jin, Haikun Liu, Linchen Yu, Zhan Zhang
2025 J jnl
NCSAC: Effective Neural Community Search via Attribute-augmented Conductance.
CoRR
Longlong Lin, Quanao Li, Miao Qiao, Zeli Wang, Jin Zhao, Rong-Hua Li, Xin Luo, Tao Jia
2025 A conf
OHMiner: An Overlap-centric System for Efficient Hypergraph Pattern Mining.
EuroSys
Hao Qi, Kang Luo, Ligang He, Yu Zhang, Minzhi Cai, Jingxin Dai, Bingsheng He, Hai Jin, Zhan Zhang, Jin Zhao, Hengshan Yue, Hui Yu, Xiaofei Liao
2025 A* conf
PairGraph: An Efficient Search-space-aware Accelerator for High-performance Concurrent Pairwise Queries.
DAC
Yutao Fu, Zhongtian Long, Yu Zhang, Zirui He, Jin Zhao, Qiyuan Niu, Zixiao Wang, Hai Jin
2025 J jnl
Provable Higher-Order Graph Clustering: The Power of Peeling-Based Approaches.
IEEE Trans. Knowl. Data Eng.
Longlong Lin, Zeli Wang, Rong-Hua Li, Qiyu Liu, Hongchao Qin, Jin Zhao
2025 A conf
TaGNN: An Efficient Topology-aware Accelerator for High-performance Dynamic Graph Neural Network.
SC
Hui Yu, Yu Zhang, Ligang He, Bing Peng, Jin Zhao, Zixiao Wang, Hao Qi, Hai Jin
2025 — conf
TempGraph: An Efficient Chain-driven Temporal Graph Computing Framework on the GPU.
ASPLOS (3)
Jin Zhao, Qian Wang, Ligang He, Yu Zhang, Sheng Di, Bingsheng He, Xinlei Wang, Hui Yu, Hao Qi, Longlong Lin, Linchen Yu, Xiaofei Liao, Hai Jin
2024 A* conf
CDA-GNN: A Chain-driven Accelerator for Efficient Asynchronous Graph Neural Network.
DAC
Hui Yu, Yu Zhang, Ligang He, Donghao He, Qikun Li, Jin Zhao, Xiaofei Liao, Hai Jin, Lin Gu, Haikun Liu
2024 J jnl
Computing Power Networking Meets Blockchain: A Reputation-Enhanced Trading Framework for Decentralized IoT Cloud Services.
IEEE Internet Things J.
Li Lin, Jiapeng Wu, Zhi Zhou, Jin Zhao, Peng Li, Jinbo Xiong
2024 A conf
LSGraph: A Locality-centric High-performance Streaming Graph Engine.
EuroSys
Hao Qi, Yiyang Wu, Ligang He, Yu Zhang, Kang Luo, Minzhi Cai, Hai Jin, Zhan Zhang, Jin Zhao
2024 A* conf
PSMC: Provable and Scalable Algorithms for Motif Conductance Based Graph Clustering.
KDD
Longlong Lin, Tao Jia, Zeli Wang, Jin Zhao, Rong-Hua Li
2024 J jnl
PSMC: Provable and Scalable Algorithms for Motif Conductance Based Graph Clustering.
CoRR
Longlong Lin, Tao Jia, Zeli Wang, Jin Zhao, Rong-Hua Li
2024 A conf
PSNE: Efficient Spectral Sparsification Algorithms for Scaling Network Embedding.
CIKM
Longlong Lin, Yunfeng Yu, Zihao Wang, Zeli Wang, Yuying Zhao, Jin Zhao, Tao Jia
2024 J jnl
PSNE: Efficient Spectral Sparsification Algorithms for Scaling Network Embedding.
CoRR
Longlong Lin, Yunfeng Yu, Zihao Wang, Zeli Wang, Yuying Zhao, Jin Zhao, Tao Jia
2024 A* conf
RAHP: A Redundancy-aware Accelerator for High-performance Hypergraph Neural Network.
MICRO
Hui Yu, Yu Zhang, Ligang He, Yingqi Zhao, Xintao Li, Ruida Xin, Jin Zhao, Xiaofei Liao, Haikun Liu, Bingsheng He, Hai Jin
2024 A* conf
RTGA: A Redundancy-free Accelerator for High-Performance Temporal Graph Neural Network Inference.
DAC
Hui Yu, Yu Zhang, Andong Tan, Chenze Lu, Jin Zhao, Xiaofei Liao, Hai Jin, Haikun Liu
2024 J jnl
Towards High-Performance Graph Processing: From a Hardware/Software Co-Design Perspective.
J. Comput. Sci. Technol.
Xiaofei Liao, Wenju Zhao, Hai Jin, Pengcheng Yao, Yu Huang, Qinggang Wang, Jin Zhao, Long Zheng, Yu Zhang, Zhiyuan Shao
2023 J jnl
Accelerating Graph Convolutional Networks Through a PIM-Accelerated Approach.
IEEE Trans. Computers
Hai Jin, Dan Chen, Long Zheng, Yu Huang, Pengcheng Yao, Jin Zhao, Xiaofei Liao, Wenbin Jiang
2023 J jnl
EGraph: Efficient Concurrent GPU-Based Dynamic Graph Processing.
IEEE Trans. Knowl. Data Eng.
Yu Zhang, Yuxuan Liang, Jin Zhao, Fubing Mao, Lin Gu, Xiaofei Liao, Hai Jin, Haikun Liu, Song Guo, Yangqing Zeng, Hang Hu, Chen Li, Ji Zhang, Biao Wang
2023 J jnl
Graph for Science: From API based Programming to Graph Engine based Programming for HPC.
CoRR
Yu Zhang, Zixiao Wang, Jin Zhao, Yuluo Guo, Hai Jin, Hui Yu, Zhiying Huang, Xuanhua Shi, Xiaofei Liao
2023 J jnl
GraphTune: An Efficient Dependency-Aware Substrate to Alleviate Irregularity in Concurrent Graph Processing.
ACM Trans. Archit. Code Optim.
Jin Zhao, Yu Zhang, Ligang He, Qikun Li, Xiang Zhang, Xinyu Jiang, Hui Yu, Xiaofei Liao, Hai Jin, Lin Gu, Haikun Liu, Bingsheng He, Ji Zhang, Xianzheng Song, Lin Wang, Jun Zhou
2023 A* conf
PSMiner: A Pattern-Aware Accelerator for High-Performance Streaming Graph Pattern Mining.
DAC
Hao Qi, Yu Zhang, Ligang He, Kang Luo, Jun Huang, Haoyu Lu, Jin Zhao, Hai Jin
2023 J jnl
RACE: An Efficient Redundancy-aware Accelerator for Dynamic Graph Neural Network.
ACM Trans. Archit. Code Optim.
Hui Yu, Yu Zhang, Jin Zhao, Yujian Liao, Zhiying Huang, Donghao He, Lin Gu, Hai Jin, Xiaofei Liao, Haikun Liu, Bingsheng He, Jianhui Yue
2023 A* conf
SaGraph: A Similarity-aware Hardware Accelerator for Temporal Graph Processing.
DAC
Jin Zhao, Yu Zhang, Jian Cheng, Yiyang Wu, Chuyue Ye, Hui Yu, Zhiying Huang, Hai Jin, Xiaofei Liao, Lin Gu, Haikun Liu
2022 J jnl
A Structure-Aware Storage Optimization for Out-of-Core Concurrent Graph Processing.
IEEE Trans. Computers
Xiaofei Liao, Jin Zhao, Yu Zhang, Bingsheng He, Ligang He, Hai Jin, Lin Gu
2022 J jnl
GGraph: An Efficient Structure-Aware Approach for Iterative Graph Processing.
IEEE Trans. Big Data
Beibei Si, Yuxuan Liang, Jin Zhao, Yu Zhang, Xiaofei Liao, Hai Jin, Haikun Liu, Lin Gu
2022 J jnl
GIDN: A Lightweight Graph Inception Diffusion Network for High-efficient Link Prediction.
CoRR
Zixiao Wang, Yuluo Guo, Jin Zhao, Yu Zhang, Hui Yu, Xiaofei Liao, Hai Jin, Biao Wang, Ting Yu
2022 A* conf
TDGraph: a topology-driven accelerator for high-performance streaming graph processing.
ISCA
Jin Zhao, Yun Yang, Yu Zhang, Xiaofei Liao, Lin Gu, Ligang He, Bingsheng He, Hai Jin, Haikun Liu, Xinyu Jiang, Hui Yu
2022 J jnl
Toward High-Performance Delta-Based Iterative Processing with a Group-Based Approach.
J. Comput. Sci. Technol.
Hui Yu, Xinyu Jiang, Jin Zhao, Hao Qi, Yu Zhang, Xiaofei Liao, Haikun Liu, Fubing Mao, Hai Jin
2021 A conf
LCCG: a locality-centric hardware accelerator for high throughput of concurrent graph processing.
SC
Jin Zhao, Yu Zhang, Xiaofei Liao, Ligang He, Bingsheng He, Hai Jin, Haikun Liu
2019 J jnl
CGraph: A Distributed Storage and Processing System for Concurrent Iterative Graph Analysis Jobs.
ACM Trans. Storage
Yu Zhang, Jin Zhao, Xiaofei Liao, Hai Jin, Lin Gu, Haikun Liu, Bingsheng He, Ligang He
2019 A conf
GraphM: an efficient storage system for high throughput of concurrent graph processing.
SC
Jin Zhao, Yu Zhang, Xiaofei Liao, Ligang He, Bingsheng He, Hai Jin, Haikun Liu, Yicheng Chen