Biography
I obtained my B.E degree from School of Computer Science and Technology, Huazhong University of Science and Technology in Jun. 2020.
My research interests are database systems, graph algorithms, and high performance computing.
Education
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B.E. in Computer Science and Technology
GPA: 91.29/100 3.95/4
Rank: 2/312(CS)
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Ph.D. Candidate in School of Computer
Working Experience
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TokkaLabs (Quantitative Research Intern), Singapore
Jul. 2025 - Now
Developed and implemented several path-finding algorithms to maximize transaction output across DEX networks.
Engineered indexing and dynamic update optimizations to enhance the speed of the offline path-finding algorithm.
Conducted quantitative analysis on the leading performance indicators of various CEX exchanges.
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Ant Group (Research Intern), Hangzhou, China
Feb. 2025 - May 2025
Designed and deployed a high-performance distributed system for attributed community detection, capable of scaling to graphs with billions of nodes.
Proposed and implemented communication and computation-based optimizations that accelerated the distributed system's runtime by approximately 3-4X.
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Grab Taxi Holdings(Research Collaboration), Singapore
Aug. 2023 - Nov. 2024
Investigated and modeled burst behavior within fraud communities in Grab's transaction graph.
Implemented a real-time burst fraud detection system on Grab's graph, achieving a 1.3X improvement in accuracy.
Selected Publications
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RUSH: Real-time Burst Subgraph Detection in Dynamic Graphs
Yuhang Chen, Jiaxin Jiang, Shixuan Sun, Bingsheng He, Min Chen
International Conference on Very Large Data Bases (VLDB), 2024.
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BLITZ: A Flexible and Efficient Graph Mining System
Yuhang Chen, Shixuan Sun, Jiaxin Jiang, Bingsheng He, Yuchen Li
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2025.
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A Distributed Community Detection System for Industry-Scale Attributed Graphs
Yuhang Chen, Yunfei Liu, Peng Du, et, al
ACM SIGMOD International Conference on Management of Data (SIGMOD(Under Revision)), 2025.
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ThunderRW: An In-Memory Graph Random Walk Engine
Shixuan Sun, Yuhang Chen, Shengliang Lu, Bingsheng He, Yuchen Li
International Conference on Very Large Data Bases (VLDB), 2021.
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PathEnum: Towards Real-Time Hop-Constrained s-t Path Enumeration
Shixuan Sun, Yuhang Chen, Bingsheng He, Bryan Hooi
ACM SIGMOD International Conference on Management of Data (SIGMOD), 2021.
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RICH: Real-time Identification of negative Cycles for High-efficiency arbitrage
Bingqiao Luo, Jiaxin Jiang, Yuhang Chen, Bingsheng He, et al
International Conference on Very Large Data Bases (VLDB), 2025.
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Spade+: A Generic Real-Time Fraud Detection Framework on Dynamic Graphs
Jiaxin Jiang, Yuhang Chen, Bingsheng He, Min Chen, Jia Chen
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024.
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Community Detection in Heterogeneous Information Networks
Without Materialization
Jiaxin Jiang, Siyuan Yao, Yuhang Chen, Yudong Niu, Bingsheng He, Yuchen Li, Shixuan Sun, Yongchao Liu
ACM SIGMOD International Conference on Management of Data (SIGMOD), 2025.
Teaching Experiences
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Teaching Assistant, NUS, CS2030S(2021), CS1010E(2021), CS4225/5425(2022)
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Teaching Assistant, HUST, Data Structure(2018)
Selected Awards
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Research Achievement Award(5%), National University of Singapore
2024
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Outstanding Graduate award, Huazhong University of Science and Technology
2020
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University Scholarship (HUST Merit Student, Top 5%)
2018,2019
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China National Scholarship(Top 2%)
2018