Efficient Gradient Boosted Decision Tree Training on GPUs. - Zeyi Wen; Bingsheng He; Ramamohanarao Kotagiri; Shengliang Lu; Jiashuai Shi (IPDPS, 2018)

Deploying Hash Tables on Die-Stacked High Bandwidth Memory. - Xuntao Cheng; Bingsheng He; Eric Lo 001; Wei Wang 059; Shengliang Lu; Xinyu Chen 001 (CIKM, 2019)

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 (SIGSPATIAL/GIS, 2020)

Revisiting hash join on graphics processors: a decade later. - Johns Paul; Bingsheng He; Shengliang Lu; Chiew Tong Lau (Distributed Parallel Databases, 2020)

G3: When Graph Neural Networks Meet Parallel Graph Processing Systems on GPUs. - Husong Liu; Shengliang Lu; Xinyu Chen 001; Bingsheng He (Proc. VLDB Endow., 2020)

Accelerating Exact Constrained Shortest Paths on GPUs. - Shengliang Lu; Bingsheng He; Yuchen Li 001; Hao Fu (Proc. VLDB Endow., 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)

Cache-Efficient Fork-Processing Patterns on Large Graphs. - Shengliang Lu; Shixuan Sun; Johns Paul; Yuchen Li 001; Bingsheng He (SIGMOD Conference, 2021)

MG-Join: A Scalable Join for Massively Parallel Multi-GPU Architectures. - Johns Paul; Shengliang Lu; Bingsheng He; Chiew Tong Lau (SIGMOD Conference, 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)

ThunderRW: An In-Memory Graph Random Walk Engine (Complete Version). - Shixuan Sun; Yuhang Chen; Shengliang Lu; Bingsheng He; Yuchen Li 001 (CoRR, 2021)

Database Systems on GPUs. - Johns Paul; Shengliang Lu; Bingsheng He (Found. Trends Databases, 2021)

ThunderRW: An In-Memory Graph Random Walk Engine. - Shixuan Sun; Yuhang Chen; Shengliang Lu; Bingsheng He; Yuchen Li 001 (Proc. VLDB Endow., 2021)

Stock linkage prediction based on optimized LSTM model. - Chi Ma; Yan Liang; Shaofan Wang; Shengliang Lu (Multim. Tools Appl., 2022)

Explicitly Modeling Stress Softening and Thermal Recovery for Rubber-like Materials. - Xiaoming Wang; Heng Xiao; Shengliang Lu (Symmetry, 2022)

Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT. - Zhen Zhang 023; Bingqiao Luo; Shengliang Lu; Bingsheng He (NeurIPS, 2023)

BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection. - Sihao Hu; Zhen Zhang 023; Bingqiao Luo; Shengliang Lu; Bingsheng He; Ling Liu 001 (WWW, 2023)

ETGraph: A Pioneering Dataset Bridging Ethereum and Twitter. - Qian Wang 002; Zhen Zhang 023; Zemin Liu; Shengliang Lu; Bingqiao Luo; Bingsheng He (CoRR, 2023)

Sequence-Based Target Coin Prediction for Cryptocurrency Pump-and-Dump. - Sihao Hu; Zhen Zhang 023; Shengliang Lu; Bingsheng He; Zhao Li 007 (Proc. ACM Manag. Data, 2023)

EX-Graph: A Pioneering Dataset Bridging Ethereum and X. - Qian Wang 002; Zhen Zhang 023; Zemin Liu; Shengliang Lu; Bingqiao Luo; Bingsheng He (ICLR, 2024)

A Survey on Concurrent Processing of Graph Analytical Queries: Systems and Algorithms. - Yuchen Li 001; Shixuan Sun; Hanhua Xiao; Chang Ye; Shengliang Lu; Bingsheng He (IEEE Trans. Knowl. Data Eng., 2024)

An Efficient Memoization Engine for Concurrent Graph Query Processing. - Sen Gao; Shengliang Lu; Shixuan Sun; Yuchen Li 001; Bingsheng He (ICDE, 2025)

AI-powered Fraud Detection in Decentralized Finance: A Project Life Cycle Perspective. - Bingqiao Luo; Zhen Zhang 023; Qian Wang 002; Anli Ke; Shengliang Lu; Bingsheng He (ACM Comput. Surv., 2025)