Shengliang Lu

Orcid: 0000-0003-4775-4005

According to our database1, Shengliang Lu authored at least 22 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
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Links

On csauthors.net:

Bibliography

2024
A Survey on Concurrent Processing of Graph Analytical Queries: Systems and Algorithms.
IEEE Trans. Knowl. Data Eng., November, 2024

EX-Graph: A Pioneering Dataset Bridging Ethereum and X.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Sequence-Based Target Coin Prediction for Cryptocurrency Pump-and-Dump.
Proc. ACM Manag. Data, 2023

ETGraph: A Pioneering Dataset Bridging Ethereum and Twitter.
CoRR, 2023

AI-powered Fraud Detection in Decentralized Finance: A Project Life Cycle Perspective.
CoRR, 2023

BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection.
Proceedings of the ACM Web Conference 2023, 2023

Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Explicitly Modeling Stress Softening and Thermal Recovery for Rubber-like Materials.
Symmetry, 2022

Stock linkage prediction based on optimized LSTM model.
Multim. Tools Appl., 2022

2021
ThunderRW: An In-Memory Graph Random Walk Engine.
Proc. VLDB Endow., 2021

Database Systems on GPUs.
Found. Trends Databases, 2021

ThunderRW: An In-Memory Graph Random Walk Engine (Complete Version).
CoRR, 2021

Bond Default Prediction Based on Deep Learning and Knowledge Graph Technology.
IEEE Access, 2021

MG-Join: A Scalable Join for Massively Parallel Multi-GPU Architectures.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Cache-Efficient Fork-Processing Patterns on Large Graphs.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2020
Improving Execution Efficiency of Just-in-time Compilation based Query Processing on GPUs.
Proc. VLDB Endow., 2020

Accelerating Exact Constrained Shortest Paths on GPUs.
Proc. VLDB Endow., 2020

G3: When Graph Neural Networks Meet Parallel Graph Processing Systems on GPUs.
Proc. VLDB Endow., 2020

Revisiting hash join on graphics processors: a decade later.
Distributed Parallel Databases, 2020

Poet: an Interactive Spatial Query Processing System in Grab.
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

2019
Deploying Hash Tables on Die-Stacked High Bandwidth Memory.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Efficient Gradient Boosted Decision Tree Training on GPUs.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018


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