Jiaxin JiangResearch Fellow
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Biography
Jiaxin Jiang is now a research fellow working with Prof. Bingsheng He in School of Computing, National University of Singapore. His research interests are mainly in distributed graph database systems, big data analytics and graph anomaly detection. Before that, he received his Ph.D. degree in Computer Science and Technology at Hong Kong Baptist University University, supervised by Prof. Byron Choi and Prof. Jianliang Xu in 2020 and B.E. degree in Computer Science from Taishan College, Shandong University in 2015 (Taishan College operates a 'pilot class' under the guidance of the MOE, selecting 15 students from an annual pool of 10,000 freshmen). He worked closely with Prof. Wenfei Fan and Dr. Jingbo Xu from 2015 to 2017.
Awards
Publications
# indicates corresponding author- Jiaxin Jiang, Siyuan Yao, Yuchen Li, Qiange Wang, Bingsheng He and Min Chen. Dupin: A Parallel Framework for Densest Subgraph Discovery in Fraud Detection on Massive Graphs. ACM SIGMOD/PODS International Conference on Management of Data. (SIGMOD 2025) [NEW!]
- Jiaxin Jiang, Siyuan Yao, Yuhang Chen, Bingsheng He, Yudong Niu, Yuchen Li, Shixuan Sun, and Yongchao Liu. Community Detection in Heterogeneous Information Networks Without Materialization. ACM SIGMOD/PODS International Conference on Management of Data. (SIGMOD 2025) [NEW!]
- Lyu Xu, Jiaxin Jiang#, Byron Choi, Jianliang Xu, and Bingsheng He. Bursting Flow Query on Large Temporal Flow Networks. ACM SIGMOD/PODS International Conference on Management of Data. (SIGMOD 2025) [NEW!]
- Jixian Su, Chiyu Hao, Shixuan Sun, Hao Zhang, Sen Gao, Jiaxin Jiang, Yao Chen, Chenyi Zhang, Bingsheng He, and Minyi Guo Revisiting the Design of In-Memory Dynamic Graph Storage. ACM SIGMOD/PODS International Conference on Management of Data. (SIGMOD 2025) [NEW!]
- Yudong Niu, Yuchen Li, Jiaxin Jiang, and Laks V.S. Lakshmanan. SANS: Efficient Densest Subgraph Discovery over Relational Graphs without Materialization. The Web Conference (WWW2025) [NEW!]
- Xuankun Liao, Qing Liu, Jiaxin Jiang, Byron Choi, Bingsheng He, and Jianliang Xu. Accelerating D-core Maintenance over Dynamic Directed Graphs. IEEE International Conference on Data Engineering. (ICDE 2025) [NEW!]
- Yuhang Chen, Jiaxin Jiang#, Shixuan Sun, Bingsheng He, and Min Chen. RUSH: Real-time Burst Subgraph Discovery in Dynamic Graphs International Conference on Very Large Data Bases (VLDB 2024)
- Jiaxin Jiang, Yuhang Chen, Bingsheng He, Min Chen, and Jia Chen. Spade+: A Generic Real-Time Fraud Detection Framework on Dynamic Graphs Transactions on Knowledge and Data Engineering (TKDE 2024)
- Jiaxin Jiang, Zhen Zhang, Bingqiao Luo, Bingsheng He, Min Chen, Wei Yang Wang and Jia Chen. Spade: A Real-Time Fraud Detection Framework [Poster] International Conference on Very Large Data Bases (VLDB Demo 2024)
- Jiaxin Jiang, Byron Choi, Xin Huang, Jianliang Xu, and Sourav S Bhowmick. DKWS: A Distributed System for Keyword Search on Massive Graphs (Extended Abstract). IEEE International Conference on Data Engineering (ICDE 2024)
- Siyuan Yao, Yuchen Li, Shixuan Sun, Jiaxin Jiang, Bingsheng He. uBlade: Efficient Batch Processing for Uncertainty Graph Queries ACM SIGMOD/PODS International Conference on Management of Data. (SIGMOD 2024)
- Jiaxin Jiang, Byron Choi, Xin Huang, Jianliang Xu, and Sourav S Bhowmick. DKWS: A Distributed System for Keyword Search on Massive Graphs Transactions on Knowledge and Data Engineering (TKDE 2023)
- Jiaxin Jiang, Yuan Li, Bingsheng He, Bryan Hooi, Jia Chen and Johan Kok Zhi Kang. Spade: A Real-Time Fraud Detection Framework on Evolving Graphs International Conference on Very Large Data Bases (VLDB 2023)
- Xuankun Liao, Qing Liu, Jiaxin Jiang, Xin Huang, Jianliang Xu, and Byron Choi. Distributed D-core Decomposition over Large Directed Graphs. International Conference on Very Large Data Bases (VLDB 2022)
- Jiaxin Jiang, Byron Choi, Jianliang Xu, and Sourav S Bhowmick. A Generic Ontology Framework for Indexing Keyword Search on Massive Graphs. (Extended Abstract). IEEE International Conference on Data Engineering (ICDE 2021)
- Lyu Xu, Jiaxin Jiang, Byron Choi, Jianliang Xu, and Sourav S Bhowmick. Privacy Preserving Strong Simulation Queries on Large Graphs. IEEE International Conference on Data Engineering (ICDE 2021)
- Xuliang Zhu, Xin Huang, Byron Choi, Jiaxin Jiang, Zhaonian Zou, and Jianliang Xu. Budget Constrained Interactive Search for Multiple Targets. International Conference on Very Large Data Bases (VLDB 2021)
- Jiaxin Jiang, Xin Huang, Byron Choi, Jianliang Xu, Sourav S Bhowmick, and Lyu Xu. PPKWS: An Efficient Framework for Keyword Search on Public-Private Networks. IEEE International Conference on Data Engineering (ICDE 2020)
- Jiaxin Jiang, Byron Choi, Jianliang Xu, and Sourav S Bhowmick. A Generic Ontology Framework for Indexing Keyword Search on Massive Graphs. Transactions on Knowledge and Data Engineering (TKDE 2019)
- Xin Huang, Jiaxin Jiang, Byron Choi, Jianliang Xu, Zhiwei Zhang, and Yunya Song. PP-DBLP: real-world datasets of public-private collaboration networks on DBLP. IEEE International Conference on Data Mining. (ICDM 2018)
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Wenfei Fan, Yinghui Wu, Jingbo Xu, Wenyuan Yu, Jiaxin Jiang, Zeyu Zheng, Bohan
Zhang, Yang Cao, and Chao Tian.
Parallelizing Sequential Graph Computations.
ACM SIGMOD/PODS International Conference on Management of Data. (SIGMOD 2017) -
Wenfei Fan, Jingbo Xu, Yinghui Wu, Wenyuan Yu, and Jiaxin Jiang.
GRAPE: Parallelizing Sequential Graph Computations.
International Conference on Very Large Data Bases (VLDB Demo 2017) -
Wenfei Fan, Yang Cao, Jingbo Xu, Wenyuan Yu, Yinghui Wu, Chao Tian, Jiaxin Jiang,
and Bohan Zhang.
From Think Parallel to Think Sequential.
SIGMOD Record, 2018. -
Jiaxin Jiang, Peipei Yi, Byron Choi, Zhiwei Zhang, and Xiaohui Yu.
Privacy-Preserving Reachability Query Services for Massive Networks.
The Conference on Information and Knowledge Management. (CIKM 2016)
Experiences
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