Bing-Sheng He

Most-cited papers

Model-Contrastive Federated Learning
Qin-Bin Li, Bing-Sheng He, D. Song
2021Computer Vision and Pattern Recognition1,930 citations Open access
Semantic Scholar
Federated Learning on Non-IID Data Silos: An Experimental Study
Q. Li, Yi-Qun Diao, Quan Chen, Bing-Sheng He
2021IEEE International Conference on Data Engineering1,587 citations Open access
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A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
Q. Li, Zeyi Wen, Zhaomin Wu, Bing-Sheng He
2019IEEE Transactions on Knowledge and Data Engineering1,559 citations Open access
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Practical Federated Gradient Boosting Decision Trees
Q. Li, Zeyi Wen, Bing-Sheng He
2019AAAI Conference on Artificial Intelligence226 citations Open access
Semantic Scholar
The Serverless Computing Survey: A Technical Primer for Design Architecture
Zi-Jun Li, Lin-Song Guo, Jia-Gan Cheng, Quan Chen +2 more
2021ACM Computing Surveys222 citations Open access
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Practical One-Shot Federated Learning for Cross-Silo Setting
Qin-Bin Li, Bing-Sheng He, D. Song
2020International Joint Conference on Artificial Intelligence181 citations Open access
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RapidMatch: A Holistic Approach to Subgraph Query Processing
Shixuan Sun, Xibo Sun, Yulin Che, Qiong Luo +1 more
2020Proceedings of the VLDB Endowment116 citations
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ThunderGP: HLS-based Graph Processing Framework on FPGAs
Xinyu Chen, Hong-Shi Tan, Yao Chen, Bing-Sheng He +2 more
2021Symposium on Field Programmable Gate Arrays96 citations Open access
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A Survey on Graph Processing Accelerators: Challenges and Opportunities
Chuangyi Gui, Long Zheng, Bing-Sheng He, Cheng Liu +3 more
2019Journal of Computational Science and Technology84 citations Open access
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GPU-Accelerated Subgraph Enumeration on Partitioned Graphs
Wentian Guo, Yu-Chen Li, Mo Sha, Bing-Sheng He +2 more
2020SIGMOD Conference83 citations
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The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems
Sixu Hu, Yuan Li, Xu Liu, Q. Li +2 more
2020ACM Transactions on Intelligent Systems and Technology65 citations Open access
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Performance Modeling and Directives Optimization for High-Level Synthesis on FPGA
Jieru Zhao, Liang Feng, Sharad Sinha, Wei Zhang +2 more
2020IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems53 citations
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Exploiting GPUs for Efficient Gradient Boosting Decision Tree Training
Zeyi Wen, Jiashuai Shi, Bing-Sheng He, Jian Chen +2 more
2019IEEE Transactions on Parallel and Distributed Systems51 citations
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DiGraph: An Efficient Path-based Iterative Directed Graph Processing System on Multiple GPUs
Yu Zhang, Xiao-Fei Liao, Hai Jin, Bing-Sheng He +2 more
2019International Conference on Architectural Support for Programming Languages and Operating Systems47 citations
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Efficient Memory Management for GPU-based Deep Learning Systems
Junzhe Zhang, Sai-Ho Yeung, Yao Shu, Bing-Sheng He +1 more
2019arXiv.org45 citations
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FineStream: Fine-Grained Window-Based Stream Processing on CPU-GPU Integrated Architectures
Feng Zhang, Lin Yang, Shuhao Zhang, Bing-Sheng He +2 more
2020USENIX Annual Technical Conference41 citations
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RapidFlow: An Efficient Approach to Continuous Subgraph Matching
Shixuan Sun, Xibo Sun, Bing-Sheng He, Qiong Luo
2022Proceedings of the VLDB Endowment40 citations
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MG-Join: A Scalable Join for Massively Parallel Multi-GPU Architectures
Johns Paul, Shengliang Lu, Bing-Sheng He, C. Lau
2021SIGMOD Conference40 citations Open access
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A Survey of Non-Volatile Main Memory Technologies: State-of-the-Arts, Practices, and Future Directions
Hai-Kun Liu, Di Chen, Hai Jin, Xiao-Fei Liao +3 more
2020Journal of Computational Science and Technology40 citations Open access
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Privacy Regulation Aware Process Mapping in Geo-Distributed Cloud Data Centers
A. Zhou, Yao Xiao, Yifan Gong, Bing-Sheng He +2 more
2019IEEE Transactions on Parallel and Distributed Systems39 citations
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GraphM: An Efficient Storage System for High Throughput of Concurrent Graph Processing
Jin Zhao, Yu Zhang, Xiao-Fei Liao, Li-Gang He +4 more
2019International Conference for High Performance Computing, Networking, Storage and Analysis39 citations
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An In-Depth Study of Continuous Subgraph Matching
Xibo Sun, Shixuan Sun, Qiong Luo, Bing-Sheng He
2022Proceedings of the VLDB Endowment38 citations Open access
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Efficient Deep Learning Pipelines for Accurate Cost Estimations Over Large Scale Query Workload
Johan Kok Zhi Kang, Gaurav, S. Tan, Feng Cheng +2 more
2021SIGMOD Conference38 citations Open access
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Improving Execution Efficiency of Just-in-time Compilation based Query Processing on GPUs
Johns Paul, Bing-Sheng He, Shengliang Lu, C. Lau
2020Proceedings of the VLDB Endowment36 citations
Semantic Scholar
DepGraph: A Dependency-Driven Accelerator for Efficient Iterative Graph Processing
Yu Zhang, Xiao-Fei Liao, Hai Jin, Li-Gang He +3 more
2021International Symposium on High-Performance Computer Architecture35 citations
Semantic Scholar
Dynamic Job Ordering and Slot Configurations for MapReduce Workloads
Shanjian Tang, Bu-Sung Lee, Bing-Sheng He
2024IEEE Transactions on Services Computing34 citations
Semantic Scholar
ThunderRW: An In-Memory Graph Random Walk Engine
Shixuan Sun, Yuhang Chen, Shengliang Lu, Bing-Sheng He +1 more
2021Proceedings of the VLDB Endowment32 citations
Semantic Scholar
Periodic Weather-Aware LSTM With Event Mechanism for Parking Behavior Prediction
Feng Zhang, Yani Liu, Ningxuan Feng, Cheng Yang +6 more
2021IEEE Transactions on Knowledge and Data Engineering31 citations
Semantic Scholar
GPU-Accelerated Graph Label Propagation for Real-Time Fraud Detection
Chang Ye, Yu-Chen Li, Bing-Sheng He, Zhao Li +1 more
2021SIGMOD Conference29 citations Open access
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ThunderGBM: Fast GBDTs and Random Forests on GPUs
Zeyi Wen, Han-Feng Liu, Jiashuai Shi, Q. Li +2 more
2020Journal of machine learning research29 citations
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Accelerating Exact Constrained Shortest Paths on GPUs
Shengliang Lu, Bing-Sheng He, Yu-Chen Li, Hao Fu
2020Proceedings of the VLDB Endowment27 citations Open access
Semantic Scholar
Is FPGA Useful for Hash Joins?
Xinyu Chen, Yao Chen, Ronak Bajaj, Jiong He +3 more
2020Conference on Innovative Data Systems Research27 citations
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CapelliniSpTRSV: A Thread-Level Synchronization-Free Sparse Triangular Solve on GPUs
Jiya Su, Feng Zhang, Wei-Feng Liu, Bing-Sheng He +3 more
2020International Conference on Parallel Processing27 citations
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A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning
Zhaomin Wu, Qin-Bin Li, Bing-Sheng He
2021Neural Information Processing Systems26 citations Open access
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Object-Level Memory Allocation and Migration in Hybrid Memory Systems
Hai-Kun Liu, Ren-Quan Liu, Xiao-Fei Liao, Hai Jin +2 more
2020IEEE transactions on computers26 citations Open access
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PathEnum: Towards Real-Time Hop-Constrained s-t Path Enumeration
Shixuan Sun, Yuhang Chen, Bing-Sheng He, Bryan Hooi
2021SIGMOD Conference25 citations Open access
Semantic Scholar
On-The-Fly Parallel Data Shuffling for Graph Processing on OpenCL-Based FPGAs
Xinyu Chen, Ronak Bajaj, Yao Chen, Jiong He +3 more
2019International Conference on Field-Programmable Logic and Applications25 citations
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Towards Concurrent Stateful Stream Processing on Multicore Processors
Shuhao Zhang, Yingjun Wu, Feng Zhang, Bing-Sheng He
2019IEEE International Conference on Data Engineering25 citations Open access
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Parallelizing Intra-Window Join on Multicores: An Experimental Study
Shuhao Zhang, Yan-Can Mao, Jiong He, Philipp M. Grulich +4 more
2021SIGMOD Conference24 citations
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Fine-Grained Multi-Query Stream Processing on Integrated Architectures
Feng Zhang, Chenyang Zhang, Lin Yang, Shu-Hao Zhang +3 more
2021IEEE Transactions on Parallel and Distributed Systems24 citations
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iMLBench: A Machine Learning Benchmark Suite for CPU-GPU Integrated Architectures
Chenyang Zhang, Feng Zhang, Xiaoguang Guo, Bing-Sheng He +2 more
2021IEEE Transactions on Parallel and Distributed Systems24 citations
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Cost-Aware Partitioning for Efficient Large Graph Processing in Geo-Distributed Datacenters
A. Zhou, Bing-Kun Shen, Yao Xiao, Shadi Ibrahim +1 more
2020IEEE Transactions on Parallel and Distributed Systems22 citations
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Revisiting hash join on graphics processors: a decade later
Johns Paul, Bing-Sheng He, Shengliang Lu, C. Lau
2019Distributed and parallel databases21 citations
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Optimizing An In-memory Database System For AI-powered On-line Decision Augmentation Using Persistent Memory
Cheng Chen, Jun Yang, Mian Lu, Tai-Ze Wang +8 more
2021Proceedings of the VLDB Endowment20 citations
Semantic Scholar
Automatic Irregularity-Aware Fine-Grained Workload Partitioning on Integrated Architectures
Feng Zhang, Ji-Dong Zhai, Bo Wu, Bing-Sheng He +2 more
2021IEEE Transactions on Knowledge and Data Engineering20 citations Open access
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LargeGraph
Yu Zhang, Da Peng, Xiao-Fei Liao, Hai Jin +3 more
2021ACM Transactions on Architecture and Code Optimization (TACO)18 citations Open access
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Fairness-Efficiency Allocation of CPU-GPU Heterogeneous Resources
Q. Lu, Jian-Guo Yao, Zheng-Wei Qi, Bing-Sheng He +1 more
2019IEEE Transactions on Services Computing17 citations
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Cache-Efficient Fork-Processing Patterns on Large Graphs
Shengliang Lu, Shixuan Sun, Johns Paul, Yu-Chen Li +1 more
2021SIGMOD Conference16 citations Open access
Semantic Scholar
Model-Agnostic Round-Optimal Federated Learning via Knowledge Transfer
Q. Li, Bing-Sheng He, D. Song
2020arXiv.org16 citations
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Parallel and Distributed Structured SVM Training
Jiantong Jiang, Zeyi Wen, Ze-ke Wang, Bing-Sheng He +1 more
2022IEEE Transactions on Parallel and Distributed Systems15 citations
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