Shengliang Lu

29 papers A* 4A 2Journal 19Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
AI-powered Fraud Detection in Decentralized Finance: A Project Life Cycle Perspective.
ACM Comput. Surv.
Bingqiao Luo, Zhen Zhang, Qian Wang, Anli Ke, Shengliang Lu, Bingsheng He
2025 A* conf
An Efficient Memoization Engine for Concurrent Graph Query Processing.
ICDE
Sen Gao, Shengliang Lu, Shixuan Sun, Yuchen Li, Bingsheng He
2024 J jnl
A Survey on Concurrent Processing of Graph Analytical Queries: Systems and Algorithms.
IEEE Trans. Knowl. Data Eng.
Yuchen Li, Shixuan Sun, Hanhua Xiao, Chang Ye, Shengliang Lu, Bingsheng He
2024 A* conf
EX-Graph: A Pioneering Dataset Bridging Ethereum and X.
ICLR
Qian Wang, Zhen Zhang, Zemin Liu, Shengliang Lu, Bingqiao Luo, Bingsheng He
2023 J jnl
AI-powered Fraud Detection in Decentralized Finance: A Project Life Cycle Perspective.
CoRR
Bingqiao Luo, Zhen Zhang, Qian Wang, Anli Ke, Shengliang Lu, Bingsheng He
2023 A* conf
BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection.
WWW
Sihao Hu, Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He, Ling Liu
2023 J jnl
BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection.
CoRR
Sihao Hu, Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He, Ling Liu
2023 J jnl
ETGraph: A Pioneering Dataset Bridging Ethereum and Twitter.
CoRR
Qian Wang, Zhen Zhang, Zemin Liu, Shengliang Lu, Bingqiao Luo, Bingsheng He
2023 A* conf
Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT.
NeurIPS
Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He
2023 J jnl
Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT.
CoRR
Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He
2023 J jnl
Sequence-Based Target Coin Prediction for Cryptocurrency Pump-and-Dump.
Proc. ACM Manag. Data
Sihao Hu, Zhen Zhang, Shengliang Lu, Bingsheng He, Zhao Li
2022 J jnl
Explicitly Modeling Stress Softening and Thermal Recovery for Rubber-like Materials.
Symmetry
Xiaoming Wang, Heng Xiao, Shengliang Lu
2022 J jnl
Sequence-Based Target Coin Prediction for Cryptocurrency Pump-and-Dump.
CoRR
Sihao Hu, Zhen Zhang, Shengliang Lu, Bingsheng He, Zhao Li
2022 J jnl
Stock linkage prediction based on optimized LSTM model.
Multim. Tools Appl.
Chi Ma, Yan Liang, Shaofan Wang, Shengliang Lu
2021 J jnl
Bond Default Prediction Based on Deep Learning and Knowledge Graph Technology.
IEEE Access
Chi Ma, Hongyan Sun, Shaofan Wang, Shengliang Lu, Jingyan Li
2021 — conf
Cache-Efficient Fork-Processing Patterns on Large Graphs.
SIGMOD Conference
Shengliang Lu, Shixuan Sun, Johns Paul, Yuchen Li, Bingsheng He
2021 J jnl
Cache-Efficient Fork-Processing Patterns on Large Graphs.
CoRR
Shengliang Lu, Shixuan Sun, Johns Paul, Yuchen Li, Bingsheng He
2021 J jnl
Database Systems on GPUs.
Found. Trends Databases
Johns Paul, Shengliang Lu, Bingsheng He
2021 — conf
MG-Join: A Scalable Join for Massively Parallel Multi-GPU Architectures.
SIGMOD Conference
Johns Paul, Shengliang Lu, Bingsheng He, Chiew Tong Lau
2021 J jnl
ThunderRW: An In-Memory Graph Random Walk Engine (Complete Version).
CoRR
Shixuan Sun, Yuhang Chen, Shengliang Lu, Bingsheng He, Yuchen Li
2021 J jnl
ThunderRW: An In-Memory Graph Random Walk Engine.
Proc. VLDB Endow.
Shixuan Sun, Yuhang Chen, Shengliang Lu, Bingsheng He, Yuchen Li
2020 J jnl
Accelerating Exact Constrained Shortest Paths on GPUs.
Proc. VLDB Endow.
Shengliang Lu, Bingsheng He, Yuchen Li, Hao Fu
2020 J jnl
G3: When Graph Neural Networks Meet Parallel Graph Processing Systems on GPUs.
Proc. VLDB Endow.
Husong Liu, Shengliang Lu, Xinyu Chen, Bingsheng He
2020 J jnl
Improving Execution Efficiency of Just-in-time Compilation based Query Processing on GPUs.
Proc. VLDB Endow.
Johns Paul, Bingsheng He, Shengliang Lu, Chiew Tong Lau
2020 — conf
Poet: an Interactive Spatial Query Processing System in Grab.
SIGSPATIAL/GIS
Johns Paul, Jie Liang Ang, Tianyuan Fu, Bingsheng He, Shengliang Lu, Sien Yi Tan, Feng Cheng
2020 J jnl
Revisiting hash join on graphics processors: a decade later.
Distributed Parallel Databases
Johns Paul, Bingsheng He, Shengliang Lu, Chiew Tong Lau
2019 A conf
Deploying Hash Tables on Die-Stacked High Bandwidth Memory.
CIKM
Xuntao Cheng, Bingsheng He, Eric Lo, Wei Wang, Shengliang Lu, Xinyu Chen
2019 — conf
Revisiting Hash Join on Graphics Processors: A Decade Later.
ICDE Workshops
Johns Paul, Bingsheng He, Shengliang Lu, Chiew Tong Lau
2018 A conf
Efficient Gradient Boosted Decision Tree Training on GPUs.
IPDPS
Zeyi Wen, Bingsheng He, Ramamohanarao Kotagiri, Shengliang Lu, Jiashuai Shi