Publications

Conferences

• Jixian Su, Chiyu Hao, Shixuan Sun^, Hao Zhang, Sen Gao, Jiaxin Jiang, Yao Chen, Chenyi Zhang, Bingsheng He, Minyi Guo. “Revisiting the Design of In-Memory Dynamic Graph Storage.” ACM SIGMOD International Conference on Management of Data (SIGMOD). 2025. [Paper][Code]

• Sen Gao, Jianwen Zhao, Hao Zhang^, Shixuan Sun^, Chen Liang, Gongye Chen, Wenliang Zhang, Bo Ren, Chao Liu, Chengyi Zhang, Quan Chen, Chao Li, Jingwen Leng, Minyi Guo. “GES: High-Performance Graph Processing Engine and Service in Huawei.” ACM SIGMOD International Conference on Management of Data (SIGMOD). 2025. [To appear]

• Jiaxin Jiang, Siyuan Yao, Yuhang Chen, Bingsheng He, Yudong Niu, Yuchen Li, Shixuan Sun, Yongchao Liu. “Community Detection in Heterogeneous Information Networks Without Materialization.” ACM SIGMOD International Conference on Management of Data (SIGMOD). 2025. [To appear]

• Sen Gao, Shengliang Lu, Shixuan Sun, Yuchen Li, Bingsheng He. “An Efficient Memoization Engine for Concurrent Graph Query Processing.” International Conference on Data Engineering (ICDE). 2025. [To appear]

• Junyi Mei, Shixuan Sun^, Chao Li^, Cheng Xu, Cheng Chen, Yibo Liu, Jing Wang, Cheng Zhao, Xiaofeng Hou, Minyi Guo, Bingsheng He, Xiaoliang Cong. “FlowWalker: A Memory-efficient and High-performance GPU-based Dynamic Graph Random Walk Framework.” International Conference on Very Large Data Bases (VLDB). 2024. [Paper]

• Siyuan Yao, Yuchen Li, Shixuan Sun, Jiaxin Jiang, Bingsheng He. “uBlade: Efficient Batch Processing for Uncertainty Graph Queries.” ACM SIGMOD International Conference on Management of Data (SIGMOD). 2024. [Paper]

• Chang Ye, Yuchen Li, Shixuan Sun, Wentian Guo. “gSWORD: GPU-accelerated Sampling for Subgraph Counting.” ACM SIGMOD International Conference on Management of Data (SIGMOD). 2024. [Paper]

• Yushi Liu#, Shixuan Sun#, Zijun Li, Quan Chen, Sen Gao, Chao Li, Bingsheng He, Minyi Guo. “FaaSGraph: Enabling Scalable, Efficient, and Cost-Effective Graph Processing with Serverless Computing.” ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS). 2024. [Paper][Code]

• Cheng Xu, Chao Li, Pengyu Wang, Xiaofeng Hou, Jing Wang, Shixuan Sun, Minyi Guo, Hanqing Wu, Dongbai Chen, Xiangwen Liu. “High-Throughput GPU Random Walk with Fine-tuned Concurrent Query Processing (Poster).” Principles and Practice of Parallel Programming (PPoPP). 2023. [Poster]

• Pu Pang, Gang Deng, Kaihao Bai, Quan Chen, Shixuan Sun, Bo Liu, Yu Xu, Hongbo Yao, Zhengheng Wang, Xiyu Wang, Zheng Liu, Zhuo Song, Yong Yang, Tao Ma, Minyi Guo. “Async-fork: Mitigating Query Latency Spikes Incurred by the Fork-based Snapshot Mechanism from the OS Level.” International Conference on Very Large Data Bases (VLDB). 2023. [Paper]

• Shixuan Sun, Xibo Sun, Bingsheng He, Qiong Luo. “RapidFlow: An Efficient Approach to Continuous Subgraph Matching.” International Conference on Very Large Data Bases (VLDB). 2022. [Paper][Report][Code]

• Xibo Sun, Shixuan Sun^, Qiong Luo, Bingsheng He. “An In-Depth Study of Continuous Subgraph Matching.” International Conference on Very Large Data Bases (VLDB). 2022. [Paper][Report][Code]

• Shixuan Sun, Yuhang Chen, Shengliang Lu, Bingsheng He, Yuchen Li. “ThunderRW: An In-Memory Graph Random Walk Engine.” International Conference on Very Large Data Bases (VLDB). 2021. [Paper][Report][Code]

• Shixuan Sun, Yuhang Chen, Bingsheng He, Bryan Hooi. “PathEnum: Towards Real-Time Hop-Constrained s-t Path Enumeration.” ACM SIGMOD International Conference on Management of Data (SIGMOD). 2021. [Paper][Report][Code]

• Shengliang Lu, Shixuan Sun, Johns Paul, Yuchen Li, Bingsheng He. “Cache-Efficient Fork-Processing Patterns on Large Graphs.” ACM SIGMOD International Conference on Management of Data (SIGMOD). 2021. [Paper][Report][Code]

• Johan Kok, Gaurav, Sienyi Tan, Feng Cheng, Shixuan Sun, Bingsheng He. “Efficient Deep Learning Pipelines for Accurate Cost Estimation over Large Scale Analytics Workload.” ACM SIGMOD International Conference on Management of Data (SIGMOD), Data Science and Engineering Track. 2021. [Paper][Report][Code]

• Shixuan Sun, Xibo Sun, Yulin Che, Qiong Luo, Bingsheng He. “RapidMatch: A Holistic Approach to Subgraph Query Processing.” International Conference on Very Large Data Bases (VLDB). 2021. [Paper][Code]

• Shixuan Sun, Qiong Luo. “In-Memory Subgraph Matching: An In-depth Study.” ACM SIGMOD International Conference on Management of Data (SIGMOD). 2020. [Paper][Code][Slides]

• Yulin Che, Zhuohang Lai, Shixuan Sun, Yue Wang, Qiong Luo. “Accelerating Truss Decomposition on Heterogeneous Processors.” International Conference on Very Large Data Bases (VLDB). 2020. [Paper][Code]

• Shixuan Sun, Yulin Che, Lipeng Wang, Qiong Luo. “Efficient Parallel Subgraph Enumeration on A Single Machine.” 2019 IEEE 35th International Conference on Data Engineering (ICDE). 2019. [Paper][Code][Slides]

• Shixuan Sun, Qiong Luo. “Scaling Up Subgraph Query Processing with Efficient Subgraph Matching.” 2019 IEEE 35th International Conference on Data Engineering (ICDE). 2019. [Paper][Code][Slides]

• Yulin Che, Zhuohang Lai, Shixuan Sun, Qiong Luo. “Accelerating All-Edge Common Neighbor Counting on Three Processors.” Proceedings of the 48th International Conference on Parallel Processing (ICPP). 2019. [Paper][Code][Slides]

• Yulin Che, Shixuan Sun, and Qiong Luo. “Parallelizing Pruning-based Graph Structural Clustering.” Proceedings of the 47th International Conference on Parallel Processing (ICPP). 2018. [Paper][Code][Slides]

• Shixuan Sun, Qiong Luo. “Parallelizing Recursive Backtracking Based Subgraph Matching on a Single Machine.” 2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS). 2018. [Paper][Slides]

Journals

• Shixuan Sun, Qiong Luo. “Subgraph Matching with Effective Matching Order and Indexing.” IEEE Transactions on Knowledge and Data Engineering (TKDE). 2020. [Paper]