Shengliang Lu

According to our database, Shengliang Lu authored at least 20 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Sequence-Based Target Coin Prediction for Cryptocurrency Pump-and-Dump.

Sihao Hu, Zhen Zhang, Shengliang Lu, Bingsheng He, Zhao Li

Proc. ACM Manag. Data, 2023

ETGraph: A Pioneering Dataset Bridging Ethereum and Twitter.

Qian Wang, Zhen Zhang, Zemin Liu, Shengliang Lu, Bingqiao Luo, Bingsheng He

CoRR, 2023

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

Bingqiao Luo, Zhen Zhang, Qian Wang, Anli Ke, Shengliang Lu, Bingsheng He

CoRR, 2023

BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection.

Sihao Hu, Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He, Ling Liu

Proceedings of the ACM Web Conference 2023, 2023

Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT.

Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He

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.

Xiaoming Wang, Heng Xiao, Shengliang Lu

Symmetry, 2022

Stock linkage prediction based on optimized LSTM model.

Chi Ma, Yan Liang, Shaofan Wang, Shengliang Lu

Multim. Tools Appl., 2022

2021

ThunderRW: An In-Memory Graph Random Walk Engine.

Shixuan Sun, Yuhang Chen, Shengliang Lu, Bingsheng He, Yuchen Li

Proc. VLDB Endow., 2021

Database Systems on GPUs.

Johns Paul, Shengliang Lu, Bingsheng He

Found. Trends Databases, 2021

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

Shixuan Sun, Yuhang Chen, Shengliang Lu, Bingsheng He, Yuchen Li

CoRR, 2021

Bond Default Prediction Based on Deep Learning and Knowledge Graph Technology.

Chi Ma, Hongyan Sun, Shaofan Wang, Shengliang Lu, Jingyan Li

IEEE Access, 2021

MG-Join: A Scalable Join for Massively Parallel Multi-GPU Architectures.

Johns Paul, Shengliang Lu, Bingsheng He, Chiew Tong Lau

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Cache-Efficient Fork-Processing Patterns on Large Graphs.

Shengliang Lu, Shixuan Sun, Johns Paul, Yuchen Li, Bingsheng He

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.

Johns Paul, Bingsheng He, Shengliang Lu, Chiew Tong Lau

Proc. VLDB Endow., 2020

Accelerating Exact Constrained Shortest Paths on GPUs.

Shengliang Lu, Bingsheng He, Yuchen Li, Hao Fu

Proc. VLDB Endow., 2020

G3: When Graph Neural Networks Meet Parallel Graph Processing Systems on GPUs.

Husong Liu, Shengliang Lu, Xinyu Chen, Bingsheng He

Proc. VLDB Endow., 2020

Revisiting hash join on graphics processors: a decade later.

Johns Paul, Bingsheng He, Shengliang Lu, Chiew Tong Lau

Distributed Parallel Databases, 2020

Poet: an Interactive Spatial Query Processing System in Grab.

Johns Paul, Jie Liang Ang, Tianyuan Fu, Bingsheng He, Shengliang Lu, Sien Yi Tan, Feng Cheng

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.

Xuntao Cheng, Bingsheng He, Eric Lo, Wei Wang, Shengliang Lu, Xinyu Chen

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Efficient Gradient Boosted Decision Tree Training on GPUs.

Zeyi Wen, Bingsheng He, Ramamohanarao Kotagiri, Shengliang Lu, Jiashuai Shi

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018