Bingsheng He

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 299

Top Venues

CoRR

IEEE Trans. Parallel Distributed Syst.

ICDE

Proc. VLDB Endow.

Julius Maximilians University Würzburg, Germany (PHD)

Education History

Julius Maximilians University Würzburg, Germany

PHD

Publications

Shuo Shang, Bingsheng He, Lizhe Wang
Introduction to distributed and parallel processing of big spatiotemporal data. Future Gener. Comput. Syst. 151 (2024)
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 (2023)
Jun Hu, Bryan Hooi, Bingsheng He
Efficient Heterogeneous Graph Learning via Random Projection. CoRR (2023)
Zeyi Wen, Mingyu Liang, Bingsheng He, Zexin Xia
A High-Performance Index for Real-Time Matrix Retrieval (Extended Abstract). ICDE (2023)
Zhaomin Wu, Junhui Zhu, Qinbin Li, Bingsheng He
DeltaBoost: Gradient Boosting Decision Trees with Efficient Machine Unlearning. Proc. ACM Manag. Data 1 (2) (2023)
Sixu Hu, Qinbin Li, Bingsheng He
Communication-Efficient Generalized Neuron Matching for Federated Learning. ICPP (2023)
Yiqun Diao, Yutong Yang, Qinbin Li, Bingsheng He, Mian Lu
OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams. CoRR (2023)
Qiange Wang, Yao Chen, Weng-Fai Wong, Bingsheng He
HongTu: Scalable Full-Graph GNN Training on Multiple GPUs (via communication-optimized CPU data offloading). CoRR (2023)
Flora D. Salim, Bingsheng He, Ken-ichi Kawarabayashi
Welcome. Commun. ACM 66 (7) (2023)
Zhaomin Wu, Junyi Hou, Bingsheng He
VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks. CoRR (2023)
Qinbin Li, Zeyi Wen, Zhaomin Wu, Sixu Hu, Naibo Wang, Yuan Li, Xu Liu, Bingsheng He
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Yiqun Diao, Qinbin Li, Bingsheng He
Towards Addressing Label Skews in One-Shot Federated Learning. ICLR (2023)
Johan Kok Zhi Kang, Sien Yi Tan, Bingsheng He, Zhen Zhang
Real Time Index and Search Across Large Quantities of GNN Experts for Low Latency Online Learning. KDD (2023)
Shanjiang Tang, Bingsheng He, Ce Yu, Yusen Li, Kun Li
A Survey on Spark Ecosystem: Big Data Processing Infrastructure, Machine Learning, and Applications (Extended abstract). ICDE (2023)
Sihao Hu, Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He, Ling Liu
BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection. CoRR (2023)
Hongshi Tan, Xinyu Chen, Yao Chen, Bingsheng He, Weng-Fai Wong
LightRW: FPGA Accelerated Graph Dynamic Random Walks. CoRR (2023)
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) (2023)
Qian Wang, Zhen Zhang, Zemin Liu, Shengliang Lu, Bingqiao Luo, Bingsheng He
ETGraph: A Pioneering Dataset Bridging Ethereum and Twitter. CoRR (2023)
Wentao Huang, Yunhong Ji, Xuan Zhou, Bingsheng He, Kian-Lee Tan
A Design Space Exploration and Evaluation for Main-Memory Hash Joins in Storage Class Memory. Proc. VLDB Endow. 16 (6) (2023)
Hongshi Tan, Xinyu Chen, Yao Chen, Bingsheng He, Weng-Fai Wong
LightRW: FPGA Accelerated Graph Dynamic Random Walks. Proc. ACM Manag. Data 1 (1) (2023)
Zemin Liu, Yuan Li, Nan Chen, Qian Wang, Bryan Hooi, Bingsheng He
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions. CoRR (2023)
Xuanhe Zhou, Cheng Chen, Kunyi Li, Bingsheng He, Mian Lu, Qiaosheng Liu, Wei Huang, Guoliang Li, Zhao Zheng, Yuqiang Chen
FEBench: A Benchmark for Real-Time Relational Data Feature Extraction. Proc. VLDB Endow. 16 (12) (2023)
Qinbin Li, Bingsheng He, Dawn Song
Adversarial Collaborative Learning on Non-IID Features. ICML (2023)
Jin Zhao, Yu Zhang, Ligang He, Qikun Li, Xiang Zhang, Xinyu Jiang, Hui Yu, Xiaofei Liao, Hai Jin, Lin Gu, Haikun Liu, Bingsheng He, Ji Zhang, Xianzheng Song, Lin Wang, Jun Zhou
GraphTune: An Efficient Dependency-Aware Substrate to Alleviate Irregularity in Concurrent Graph Processing. ACM Trans. Archit. Code Optim. 20 (3) (2023)
Yuxin Wang, Shaohuai Shi, Xin He, Zhenheng Tang, Xinglin Pan, Yang Zheng, Xiaoyu Wu, Amelie Chi Zhou, Bingsheng He, Xiaowen Chu
Reliable and Efficient In-Memory Fault Tolerance of Large Language Model Pretraining. CoRR (2023)
Qiange Wang, Yao Chen, Weng-Fai Wong, Bingsheng He
HongTu: Scalable Full-Graph GNN Training on Multiple GPUs. Proc. ACM Manag. Data 1 (4) (2023)
Sihao Hu, Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He, Ling Liu
BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection. WWW (2023)
Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He
Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT. CoRR (2023)
Zhenheng Tang, Yuxin Wang, Xin He, Longteng Zhang, Xinglin Pan, Qiang Wang, Rongfei Zeng, Kaiyong Zhao, Shaohuai Shi, Bingsheng He, Xiaowen Chu
FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs. CoRR (2023)
Cheng Chen, Yilin Wang, Jun Yang, Yiming Liu, Mian Lu, Zhao Zheng, Bingsheng He, Weng-Fai Wong, Liang You, Penghao Sun, Yuping Zhao, Fenghua Hu, Andy Rudoff
OpenEmbedding: A Distributed Parameter Server for Deep Learning Recommendation Models using Persistent Memory. ICDE (2023)
Zining Zhang, Yao Chen, Bingsheng He, Zhenjie Zhang
NIOT: A Novel Inference Optimization of Transformers on Modern CPUs. IEEE Trans. Parallel Distributed Syst. 34 (6) (2023)
Yawen Chen, Zeyi Wen, Bingsheng He, Jian Chen
Efficient Decomposition Selection for Multi-class Classification. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Borui Xu, Zeyi Wen, Lifeng Yan, Zhan Zhao, Zekun Yin, Weiguo Liu, Bingsheng He
Leveraging Data Density and Sparsity for Efficient SVM Training on GPUs. ICDM (2023)
Hui Yu, Yu Zhang, Jin Zhao, Yujian Liao, Zhiying Huang, Donghao He, Lin Gu, Hai Jin, Xiaofei Liao, Haikun Liu, Bingsheng He, Jianhui Yue
RACE: An Efficient Redundancy-aware Accelerator for Dynamic Graph Neural Network. ACM Trans. Archit. Code Optim. 20 (4) (2023)
Chenyang Zhang, Feng Zhang, Kuangyu Chen, Mingjun Chen, Bingsheng He, Xiaoyong Du
EdgeNN: Efficient Neural Network Inference for CPU-GPU Integrated Edge Devices. ICDE (2023)
Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He
Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT. NeurIPS (2023)
Sen Gao, Hongchao Qin, Rong-Hua Li, Bingsheng He
Parallel Colorful h-star Core Maintenance in Dynamic Graphs. Proc. VLDB Endow. 16 (10) (2023)
Yiqun Diao, Qinbin Li, Bingsheng He
Exploiting Label Skews in Federated Learning with Model Concatenation. CoRR (2023)
Qinbin Li, Chulin Xie, Xiaojun Xu, Xiaoyuan Liu, Ce Zhang, Bo Li, Bingsheng He, Dawn Song
Effective and Efficient Federated Tree Learning on Hybrid Data. CoRR (2023)
Bingsheng He, Feng Ma, Shengjie Xu, Xiaoming Yuan
A rank-two relaxed parallel splitting version of the augmented Lagrangian method with step size in (0,2) for separable convex programming. Math. Comput. 92 (342) (2023)
Ruofan Liang, Bingsheng He, Shengen Yan, Peng Sun
A Simulation Platform for Multi-tenant Machine Learning Services on Thousands of GPUs. CoRR (2022)
Jin Zhao, Yun Yang, Yu Zhang, Xiaofei Liao, Lin Gu, Ligang He, Bingsheng He, Hai Jin, Haikun Liu, Xinyu Jiang, Hui Yu
TDGraph: a topology-driven accelerator for high-performance streaming graph processing. ISCA (2022)
Jiaxin Jiang, Yuan Li, Bingsheng He, Bryan Hooi, Jia Chen, Johan Kok Zhi Kang
Spade: A Real-Time Fraud Detection Framework on Evolving Graphs (Complete Version). CoRR (2022)
Sihao Hu, Zhen Zhang, Shengliang Lu, Bingsheng He, Zhao Li
Sequence-Based Target Coin Prediction for Cryptocurrency Pump-and-Dump. CoRR (2022)
Shanjiang Tang, Bingsheng He, Ce Yu, Yusen Li, Kun Li
A Survey on Spark Ecosystem: Big Data Processing Infrastructure, Machine Learning, and Applications. IEEE Trans. Knowl. Data Eng. 34 (1) (2022)
Zeyi Wen, Mingyu Liang, Bingsheng He, Zexin Xia
A High-Performance Index for Real-Time Matrix Retrieval. IEEE Trans. Knowl. Data Eng. 34 (7) (2022)
Jiaxin Jiang, Yuan Li, Bingsheng He, Bryan Hooi, Jia Chen, Johan Kok Zhi Kang
Spade: A Real-Time Fraud Detection Framework on Evolving Graphs. Proc. VLDB Endow. 16 (3) (2022)
Xibo Sun, Shixuan Sun, Qiong Luo, Bingsheng He
An In-Depth Study of Continuous Subgraph Matching (Complete Version). CoRR (2022)
Jidong Zhai, Liyan Zheng, Jinghan Sun, Feng Zhang, Xiongchao Tang, Xuehai Qian, Bingsheng He, Wei Xue, Wenguang Chen, Weimin Zheng
Leveraging Code Snippets to Detect Variations in the Performance of HPC Systems. IEEE Trans. Parallel Distributed Syst. 33 (12) (2022)
Zining Zhang, Bingsheng He, Zhenjie Zhang
HARL: Hierarchical Adaptive Reinforcement Learning Based Auto Scheduler for Neural Networks. CoRR (2022)
Siqi Wang, Jiashu Li, Mian Lu, Zhao Zheng, Yuqiang Chen, Bingsheng He
A System for Time Series Feature Extraction in Federated Learning. CIKM (2022)
Amelie Chi Zhou, Juanyun Luo, Ruibo Qiu, Haobin Tan, Bingsheng He, Rui Mao
Adaptive Partitioning for Large-Scale Graph Analytics in Geo-Distributed Data Centers. ICDE (2022)
Xinyu Chen, Feng Cheng, Hongshi Tan, Yao Chen, Bingsheng He, Weng-Fai Wong, Deming Chen
ThunderGP: Resource-Efficient Graph Processing Framework on FPGAs with HLS. ACM Trans. Reconfigurable Technol. Syst. 15 (4) (2022)
Feng Zhang, Yani Liu, Ningxuan Feng, Cheng Yang, Jidong Zhai, Shuhao Zhang, Bingsheng He, Jiazao Lin, Xiao Zhang, Xiaoyong Du
Periodic Weather-Aware LSTM With Event Mechanism for Parking Behavior Prediction. IEEE Trans. Knowl. Data Eng. 34 (12) (2022)
Sixu Hu, Yuan Li, Xu Liu, Qinbin Li, Zhaomin Wu, Bingsheng He
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems. ACM Trans. Intell. Syst. Technol. 13 (4) (2022)
Xinyu Chen, Yao Chen, Feng Cheng, Hongshi Tan, Bingsheng He, Weng-Fai Wong
ReGraph: Scaling Graph Processing on HBM-enabled FPGAs with Heterogeneous Pipelines. MICRO (2022)
Qingyu Xu, Feng Zhang, Mingde Zhang, Jidong Zhai, Bingsheng He, Cheng Yang, Shuhao Zhang, Jiazao Lin, Haidi Liu, Xiaoyong Du
Payment behavior prediction on shared parking lots with TR-GCN. VLDB J. 31 (5) (2022)
Bingsheng He, Feng Ma, Shengjie Xu, Xiaoming Yuan
A Generalized Primal-Dual Algorithm with Improved Convergence Condition for Saddle Point Problems. SIAM J. Imaging Sci. 15 (3) (2022)
Zhifei Pang, Sai Wu, Gang Chen, Lidan Shou, Ke Chen, Bingsheng He
A Stack-Centric Processing Model for Iterative Processing. IEEE Trans. Big Data 8 (2) (2022)
Zining Zhang, Bingsheng He, Zhenjie Zhang
HARL: Hierarchical Adaptive Reinforcement Learning Based Auto Scheduler for Neural Networks. ICPP (2022)
Xinyu Chen, Yao Chen, Feng Cheng, Hongshi Tan, Bingsheng He, Weng-Fai Wong
ReGraph: Scaling Graph Processing on HBM-enabled FPGAs with Heterogeneous Pipelines. CoRR (2022)
Jiantong Jiang, Zeyi Wen, Ze-ke Wang, Bingsheng He, Jian Chen
Parallel and Distributed Structured SVM Training. IEEE Trans. Parallel Distributed Syst. 33 (5) (2022)
Xiaofei Liao, Jin Zhao, Yu Zhang, Bingsheng He, Ligang He, Hai Jin, Lin Gu
A Structure-Aware Storage Optimization for Out-of-Core Concurrent Graph Processing. IEEE Trans. Computers 71 (7) (2022)
Qingyu Xu, Feng Zhang, Zhiming Yao, Lv Lu, Xiaoyong Du, Dong Deng, Bingsheng He
Efficient Load-Balanced Butterfly Counting on GPU. Proc. VLDB Endow. 15 (11) (2022)
Xibo Sun, Shixuan Sun, Qiong Luo, Bingsheng He
An In-Depth Study of Continuous Subgraph Matching. Proc. VLDB Endow. 15 (7) (2022)
Bingsheng He, Shengjie Xu, Xiaoming Yuan
On Convergence of the Arrow-Hurwicz Method for Saddle Point Problems. J. Math. Imaging Vis. 64 (6) (2022)
Johan Kok Zhi Kang, Suwei Yang, Suriya Venkatesan, Sien Yi Tan, Feng Cheng, Bingsheng He
Dynamic Graph Segmentation for Deep Graph Neural Networks. KDD (2022)
Shixuan Sun, Xibo Sun, Bingsheng He, Qiong Luo
RapidFlow: An Efficient Approach to Continuous Subgraph Matching. Proc. VLDB Endow. 15 (11) (2022)
Amelie Chi Zhou, Weilin Xue, Yao Xiao, Bingsheng He, Shadi Ibrahim, Reynold Cheng
Taming System Dynamics on Resource Optimization for Data Processing Workflows: A Probabilistic Approach. IEEE Trans. Parallel Distributed Syst. 33 (1) (2022)
Yao Xiao, Amelie Chi Zhou, Xuan Yang, Bingsheng He
Privacy-preserving workflow scheduling in geo-distributed data centers. Future Gener. Comput. Syst. 130 (2022)
Zijun Li, Linsong Guo, Jiagan Cheng, Quan Chen, Bingsheng He, Minyi Guo
The Serverless Computing Survey: A Technical Primer for Design Architecture. ACM Comput. Surv. 54 (10s) (2022)
Zhaomin Wu, Qinbin Li, Bingsheng He
Practical Vertical Federated Learning with Unsupervised Representation Learning. CoRR (2022)
Jie Liang Ang, Jefferson Chu, Hieu Le Trung, Jiajun Liu, Jiong He, Qian Lin, Bingsheng He
Micro-architectural Analysis of OLAP Systems on Persistent Memory. CIDR (2022)
Zhaomin Wu, Qinbin Li, Bingsheng He
A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning. NeurIPS (2022)
Qinbin Li, Yiqun Diao, Quan Chen, Bingsheng He
Federated Learning on Non-IID Data Silos: An Experimental Study. ICDE (2022)
Benjamin Chen Ming Choong, Tao Luo, Cheng Liu, Bingsheng He, Wei Zhang, Joey Tianyi Zhou
Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems. J. Syst. Archit. 128 (2022)
Qinbin Li, Yiqun Diao, Quan Chen, Bingsheng He
Federated Learning on Non-IID Data Silos: An Experimental Study. CoRR (2021)
Feng Zhang, Chenyang Zhang, Lin Yang, Shuhao Zhang, Bingsheng He, Wei Lu, Xiaoyong Du
Fine-Grained Multi-Query Stream Processing on Integrated Architectures. IEEE Trans. Parallel Distributed Syst. 32 (9) (2021)
Shuhao Zhang, Yancan Mao, Jiong He, Philipp M. Grulich, Steffen Zeuch, Bingsheng He, Richard T. B. Ma, Volker Markl
Parallelizing Intra-Window Join on Multicores: An Experimental Study. SIGMOD Conference (2021)
Hao Fu, Shanjiang Tang, Bingsheng He, Ce Yu, Jizhou Sun
HGP4CNN: an efficient parallelization framework for training convolutional neural networks on modern GPUs. J. Supercomput. 77 (11) (2021)
Zining Zhang, Bingsheng He, Zhenjie Zhang
TransMask: A Compact and Fast Speech Separation Model Based on Transformer. ICASSP (2021)
Johns Paul, Shengliang Lu, Bingsheng He
Database Systems on GPUs. Found. Trends Databases 11 (1) (2021)
Johns Paul, Shengliang Lu, Bingsheng He, Chiew Tong Lau
MG-Join: A Scalable Join for Massively Parallel Multi-GPU Architectures. SIGMOD Conference (2021)
Yu Zhang, Da Peng, Xiaofei Liao, Hai Jin, Haikun Liu, Lin Gu, Bingsheng He
LargeGraph: An Efficient Dependency-Aware GPU-Accelerated Large-Scale Graph Processing. ACM Trans. Archit. Code Optim. 18 (4) (2021)
Shengliang Lu, Shixuan Sun, Johns Paul, Yuchen Li, Bingsheng He
Cache-Efficient Fork-Processing Patterns on Large Graphs. CoRR (2021)
Johan Kok Zhi Kang, Gaurav, Sien Yi Tan, Feng Cheng, Shixuan Sun, Bingsheng He
Efficient Deep Learning Pipelines for Accurate Cost Estimations Over Large Scale Query Workload. SIGMOD Conference (2021)
Xinyu Chen, Hongshi Tan, Yao Chen, Bingsheng He, Weng-Fai Wong, Deming Chen
Skew-Oblivious Data Routing for Data-Intensive Applications on FPGAs with HLS. CoRR (2021)
Qinbin Li, Bingsheng He, Dawn Song
Model-Contrastive Federated Learning. CVPR (2021)
Feng Zhang, Jiya Su, Weifeng Liu, Bingsheng He, Ruofan Wu, Xiaoyong Du, Rujia Wang
YuenyeungSpTRSV: A Thread-Level and Warp-Level Fusion Synchronization-Free Sparse Triangular Solve. IEEE Trans. Parallel Distributed Syst. 32 (9) (2021)
Shengjie Xu, Bingsheng He
A parallel splitting ALM-based algorithm for separable convex programming. Comput. Optim. Appl. 80 (3) (2021)
Shixuan Sun, Yuhang Chen, Shengliang Lu, Bingsheng He, Yuchen Li
ThunderRW: An In-Memory Graph Random Walk Engine. Proc. VLDB Endow. 14 (11) (2021)
Shixuan Sun, Yuhang Chen, Shengliang Lu, Bingsheng He, Yuchen Li
ThunderRW: An In-Memory Graph Random Walk Engine (Complete Version). CoRR (2021)
Cheng Chen, Jun Yang, Mian Lu, Taize Wang, Zhao Zheng, Yuqiang Chen, Wenyuan Dai, Bingsheng He, Weng-Fai Wong, Guoan Wu, Yuping Zhao, Andy Rudoff
Optimizing An In-memory Database System For AI-powered On-line Decision Augmentation Using Persistent Memory. Proc. VLDB Endow. 14 (5) (2021)
Johan Kok Zhi Kang, Gaurav, Sien Yi Tan, Feng Cheng, Shixuan Sun, Bingsheng He
Efficient Deep Learning Pipelines for Accurate Cost Estimations Over Large Scale Query Workload. CoRR (2021)
Zijun Li, Linsong Guo, Jiagan Cheng, Quan Chen, Bingsheng He, Minyi Guo
The Serverless Computing Survey: A Technical Primer for Design Architecture. CoRR (2021)
Shixuan Sun, Yuhang Chen, Bingsheng He, Bryan Hooi
PathEnum: Towards Real-Time Hop-Constrained s-t Path Enumeration. SIGMOD Conference (2021)
Shengliang Lu, Shixuan Sun, Johns Paul, Yuchen Li, Bingsheng He
Cache-Efficient Fork-Processing Patterns on Large Graphs. SIGMOD Conference (2021)
Jin Zhao, Yu Zhang, Xiaofei Liao, Ligang He, Bingsheng He, Hai Jin, Haikun Liu
LCCG: a locality-centric hardware accelerator for high throughput of concurrent graph processing. SC (2021)
Qinbin Li, Bingsheng He, Dawn Song
Model-Contrastive Federated Learning. CoRR (2021)
Hongshi Tan, Xinyu Chen, Yao Chen, Bingsheng He, Weng-Fai Wong
ThundeRiNG: generating multiple independent random number sequences on FPGAs. ICS (2021)

Bingsheng He.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Bingsheng He