Bingsheng He, 何丙胜
National University of Singapore
H-index: 61
Asia-Singapore
Top articles of Bingsheng He, 何丙胜
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation | arXiv preprint arXiv:2403.01467 | Zhen Zhang Meihan Liu Anhui Wang Hongyang Chen Zhao Li | 2024/3/3 |
BuffGraph: Enhancing Class-Imbalanced Node Classification via Buffer Nodes | arXiv preprint arXiv:2402.13114 | Qian Wang Zemin Liu Zhen Zhang Bingsheng He | 2024/2/20 |
FaaSGraph: Enabling Scalable, Efficient, and Cost-Effective Graph Processing with Serverless Computing | Yushi Liu Shixuan Sun Zijun Li Quan Chen Sen Gao | 2024/4/27 | |
Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT | Advances in Neural Information Processing Systems | Zhen Zhang Bingqiao Luo Shengliang Lu Bingsheng He | 2024/2/13 |
A Survey on Concurrent Processing of Graph Analytical Queries: Systems and Algorithms | Yuchen Li Shixuan Sun Hanhua Xiao Chang Ye Shengliang Lu | 2024/4/26 | |
TaC: An Anti-Caching Key-Value Store on Heterogeneous Memory Architectures | Yunhong Ji Wentao Huang Xuan Zhou Bingsheng He Kian-Lee Tan | 2024 | |
FlowWalker: A Memory-efficient and High-performance GPU-based Dynamic Graph Random Walk Framework | arXiv preprint arXiv:2404.08364 | Junyi Mei Shixuan Sun Chao Li Cheng Xu Cheng Chen | 2024/4/12 |
Exploiting Label Skews in Federated Learning with Model Concatenation | Yiqun Diao Qinbin Li Bingsheng He | 2024 | |
LightRW: FPGA Accelerated Graph Dynamic Random Walks | Proceedings of the ACM on Management of Data | Hongshi Tan Xinyu Chen Yao Chen Bingsheng He Weng-Fai Wong | 2023/5/30 |
FEBench: A Benchmark for Real-Time Relational Data Feature Extraction | Proceedings of the VLDB Endowment | Xuanhe Zhou Cheng Chen Kunyi Li Bingsheng He Mian Lu | 2023/8/1 |
Effective and Efficient Federated Tree Learning on Hybrid Data | International Conference on Learning Representations (ICLR 2024) | Qinbin Li Chulin Xie Xiaojun Xu Xiaoyuan Liu Ce Zhang | 2024 |
AI-powered Fraud Detection in Decentralized Finance: A Project Life Cycle Perspective | arXiv preprint arXiv:2308.15992 | Bingqiao Luo Zhen Zhang Qian Wang Anli Ke Shengliang Lu | 2023/8/30 |
HongTu: Scalable Full-Graph GNN Training on Multiple GPUs | Proceedings of the ACM on Management of Data | Qiange Wang Yao Chen Weng-Fai Wong Bingsheng He | 2023/12/12 |
OpenEmbedding: A Distributed Parameter Server for Deep Learning Recommendation Models using Persistent Memory | Cheng Chen Yilin Wang Jun Yang Yiming Liu Mian Lu | 2023/4/3 | |
Sequence-based target coin prediction for cryptocurrency pump-and-dump | Proceedings of the ACM on Management of Data | Sihao Hu Zhen Zhang Shengliang Lu Bingsheng He Zhao Li | 2023/5/30 |
GraphTune: An Efficient Dependency-Aware Substrate to Alleviate Irregularity in Concurrent Graph Processing | ACM Transactions on Architecture and Code Optimization | Jin Zhao Yu Zhang Ligang He Qikun Li Xiang Zhang | 2023 |
Partitioning Message Passing for Graph Fraud Detection | Wei Zhuo Zemin Liu Bryan Hooi Bingsheng He Guang Tan | 2023/10/13 | |
OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams | Yiqun Diao Yutong Yang Qinbin Li Bingsheng He Mian Lu | 2024 | |
Leveraging Data Density and Sparsity for Efficient SVM Training on GPUs | Borui Xu Zeyi Wen Lifeng Yan Zhan Zhao Zekun Yin | 2023/12/1 | |
BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection | Sihao Hu Zhen Zhang Bingqiao Luo Shengliang Lu Bingsheng He | 2023/4/30 |
Co-Authors
