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2020 – today
- 2024
[j11]Yuchen Li
, Shixuan Sun, Hanhua Xiao, Chang Ye, Shengliang Lu, Bingsheng He:
A Survey on Concurrent Processing of Graph Analytical Queries: Systems and Algorithms. IEEE Trans. Knowl. Data Eng. 36(11): 5508-5528 (2024)- [c9]Qian Wang, Zhen Zhang, Zemin Liu, Shengliang Lu, Bingqiao Luo, Bingsheng He:
EX-Graph: A Pioneering Dataset Bridging Ethereum and X. ICLR 2024 - 2023
- [j10]Sihao Hu, Zhen Zhang, Shengliang Lu, Bingsheng He, Zhao Li:
Sequence-Based Target Coin Prediction for Cryptocurrency Pump-and-Dump. Proc. ACM Manag. Data 1(1): 6:1-6:19 (2023) - [c8]Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He:
Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT. NeurIPS 2023 - [c7]Sihao Hu, Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He, Ling Liu:
BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection. WWW 2023: 2189-2197 - [i7]Sihao Hu, Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He, Ling Liu:
BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection. CoRR abs/2303.18138 (2023) - [i6]Bingqiao Luo, Zhen Zhang, Qian Wang, Anli Ke, Shengliang Lu, Bingsheng He:
AI-powered Fraud Detection in Decentralized Finance: A Project Life Cycle Perspective. CoRR abs/2308.15992 (2023) - [i5]Qian Wang, Zhen Zhang, Zemin Liu, Shengliang Lu, Bingqiao Luo, Bingsheng He:
ETGraph: A Pioneering Dataset Bridging Ethereum and Twitter. CoRR abs/2310.01015 (2023) - [i4]Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He:
Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT. CoRR abs/2310.11709 (2023) - 2022
- [j9]Chi Ma, Yan Liang, Shaofan Wang, Shengliang Lu:
Stock linkage prediction based on optimized LSTM model. Multim. Tools Appl. 81(9): 12599-12617 (2022) - [j8]Xiaoming Wang, Heng Xiao, Shengliang Lu:
Explicitly Modeling Stress Softening and Thermal Recovery for Rubber-like Materials. Symmetry 14(12): 2663 (2022) - [i3]Sihao Hu, Zhen Zhang, Shengliang Lu, Bingsheng He, Zhao Li:
Sequence-Based Target Coin Prediction for Cryptocurrency Pump-and-Dump. CoRR abs/2204.12929 (2022) - 2021
- [j7]Chi Ma, Hongyan Sun, Shaofan Wang, Shengliang Lu, Jingyan Li:
Bond Default Prediction Based on Deep Learning and Knowledge Graph Technology. IEEE Access 9: 12750-12761 (2021) - [j6]Johns Paul, Shengliang Lu, Bingsheng He:
Database Systems on GPUs. Found. Trends Databases 11(1): 1-108 (2021) - [j5]Shixuan Sun, Yuhang Chen, Shengliang Lu, Bingsheng He, Yuchen Li:
ThunderRW: An In-Memory Graph Random Walk Engine. Proc. VLDB Endow. 14(11): 1992-2005 (2021) - [c6]Shengliang Lu, Shixuan Sun, Johns Paul, Yuchen Li, Bingsheng He:
Cache-Efficient Fork-Processing Patterns on Large Graphs. SIGMOD Conference 2021: 1208-1221 - [c5]Johns Paul, Shengliang Lu, Bingsheng He, Chiew Tong Lau:
MG-Join: A Scalable Join for Massively Parallel Multi-GPU Architectures. SIGMOD Conference 2021: 1413-1425 - [i2]Shengliang Lu, Shixuan Sun, Johns Paul, Yuchen Li, Bingsheng He:
Cache-Efficient Fork-Processing Patterns on Large Graphs. CoRR abs/2103.14915 (2021) - [i1]Shixuan Sun, Yuhang Chen, Shengliang Lu, Bingsheng He, Yuchen Li:
ThunderRW: An In-Memory Graph Random Walk Engine (Complete Version). CoRR abs/2107.11983 (2021) - 2020
- [j4]Johns Paul, Bingsheng He, Shengliang Lu, Chiew Tong Lau:
Revisiting hash join on graphics processors: a decade later. Distributed Parallel Databases 38(4): 771-793 (2020) - [j3]Husong Liu, Shengliang Lu, Xinyu Chen, Bingsheng He:
G3: When Graph Neural Networks Meet Parallel Graph Processing Systems on GPUs. Proc. VLDB Endow. 13(12): 2813-2816 (2020) - [j2]Johns Paul, Bingsheng He, Shengliang Lu, Chiew Tong Lau:
Improving Execution Efficiency of Just-in-time Compilation based Query Processing on GPUs. Proc. VLDB Endow. 14(2): 202-214 (2020) - [j1]Shengliang Lu, Bingsheng He, Yuchen Li, Hao Fu:
Accelerating Exact Constrained Shortest Paths on GPUs. Proc. VLDB Endow. 14(4): 547-559 (2020) - [c4]Johns Paul, Jie Liang Ang, Tianyuan Fu, Bingsheng He, Shengliang Lu, Sien Yi Tan, Feng Cheng:
Poet: an Interactive Spatial Query Processing System in Grab. SIGSPATIAL/GIS 2020: 477-486
2010 – 2019
- 2019
- [c3]Xuntao Cheng, Bingsheng He, Eric Lo, Wei Wang, Shengliang Lu, Xinyu Chen:
Deploying Hash Tables on Die-Stacked High Bandwidth Memory. CIKM 2019: 239-248 - [c2]Johns Paul, Bingsheng He, Shengliang Lu, Chiew Tong Lau:
Revisiting Hash Join on Graphics Processors: A Decade Later. ICDE Workshops 2019: 294-299 - 2018
- [c1]Zeyi Wen, Bingsheng He, Ramamohanarao Kotagiri, Shengliang Lu, Jiashuai Shi:
Efficient Gradient Boosted Decision Tree Training on GPUs. IPDPS 2018: 234-243
Coauthor Index
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last updated on 2024-10-23 20:32 CEST by the dblp team
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