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何丙胜
Person information
- unicode name: 何丙胜
- affiliation: National University of Singapore, Department of Computer Science, Singapore
- affiliation: Nanyang Technological University (NTU), School of Computer Engineering, Singapore
- affiliation: Microsoft Research at Asia (MSRA), Beijing, China
- affiliation (PhD): Hong Kong University of Science & Technology (HKUST), Hong Kong
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2020 – today
- 2023
[j172]Flora D. Salim, Bingsheng He, Ken-ichi Kawarabayashi:
Welcome. Commun. ACM 66(7): 36-38 (2023)- [j171]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) - [j170]Hongshi Tan, Xinyu Chen, Yao Chen, Bingsheng He, Weng-Fai Wong:
LightRW: FPGA Accelerated Graph Dynamic Random Walks. Proc. ACM Manag. Data 1(1): 90:1-90:27 (2023) - [j169]Zhaomin Wu, Junhui Zhu, Qinbin Li, Bingsheng He:
DeltaBoost: Gradient Boosting Decision Trees with Efficient Machine Unlearning. Proc. ACM Manag. Data 1(2): 168:1-168:26 (2023) - [j168]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): 1249-1263 (2023) - [j167]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): 3347-3366 (2023) - [j166]Yawen Chen, Zeyi Wen, Bingsheng He, Jian Chen:
Efficient Decomposition Selection for Multi-class Classification. IEEE Trans. Knowl. Data Eng. 35(4): 3751-3764 (2023) - [j165]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): 1982-1995 (2023) - [c184]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: 1193-1207 - [c183]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: 2976-2987 - [c182]Zeyi Wen, Mingyu Liang, Bingsheng He, Zexin Xia:
A High-Performance Index for Real-Time Matrix Retrieval (Extended Abstract). ICDE 2023: 3757-3758 - [c181]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: 3779-3780 - [c180]Yiqun Diao, Qinbin Li, Bingsheng He:
Towards Addressing Label Skews in One-Shot Federated Learning. ICLR 2023 - [c179]Qinbin Li, Bingsheng He, Dawn Song:
Adversarial Collaborative Learning on Non-IID Features. ICML 2023: 19504-19526 - [c178]Sixu Hu, Qinbin Li, Bingsheng He:
Communication-Efficient Generalized Neuron Matching for Federated Learning. ICPP 2023: 254-263 - [c177]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: 4308-4319 - [c176]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 - [i50]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) - [i49]Hongshi Tan, Xinyu Chen, Yao Chen, Bingsheng He, Weng-Fai Wong:
LightRW: FPGA Accelerated Graph Dynamic Random Walks. CoRR abs/2304.07004 (2023) - [i48]Zhaomin Wu, Junyi Hou, Bingsheng He:
VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks. CoRR abs/2307.02040 (2023) - [i47]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 abs/2308.13821 (2023) - [i46]Yiqun Diao, Yutong Yang, Qinbin Li, Bingsheng He, Mian Lu:
OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams. CoRR abs/2308.15059 (2023) - [i45]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) - [i44]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 abs/2309.01172 (2023) - 2022
- [j164]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): 220:1-220:34 (2022) - [j163]Yao Xiao, Amelie Chi Zhou, Xuan Yang, Bingsheng He:
Privacy-preserving workflow scheduling in geo-distributed data centers. Future Gener. Comput. Syst. 130: 46-58 (2022) - [j162]Bingsheng He, Shengjie Xu, Xiaoming Yuan:
On Convergence of the Arrow-Hurwicz Method for Saddle Point Problems. J. Math. Imaging Vis. 64(6): 662-671 (2022) - [j161]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: 102507 (2022) - [j160]Xibo Sun, Shixuan Sun, Qiong Luo, Bingsheng He:
An In-Depth Study of Continuous Subgraph Matching. Proc. VLDB Endow. 15(7): 1403-1416 (2022) - [j159]Shixuan Sun, Xibo Sun, Bingsheng He, Qiong Luo:
RapidFlow: An Efficient Approach to Continuous Subgraph Matching. Proc. VLDB Endow. 15(11): 2415-2427 (2022) - [j158]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): 2450-2462 (2022) - [j157]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): 461-469 (2022) - [j156]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): 1157-1183 (2022) - [j155]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): 318-331 (2022) - [j154]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): 1612-1625 (2022) - [j153]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): 63:1-63:32 (2022) - [j152]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): 71-91 (2022) - [j151]Zeyi Wen, Mingyu Liang, Bingsheng He, Zexin Xia:
A High-Performance Index for Real-Time Matrix Retrieval. IEEE Trans. Knowl. Data Eng. 34(7): 3044-3056 (2022) - [j150]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): 5896-5909 (2022) - [j149]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): 231-248 (2022) - [j148]Jiantong Jiang, Zeyi Wen, Ze-ke Wang, Bingsheng He, Jian Chen:
Parallel and Distributed Structured SVM Training. IEEE Trans. Parallel Distributed Syst. 33(5): 1084-1096 (2022) - [j147]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): 3558-3574 (2022) - [j146]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): 44:1-44:31 (2022) - [j145]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): 1035-1058 (2022) - [c175]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 - [c174]Siqi Wang, Jiashu Li, Mian Lu, Zhao Zheng, Yuqiang Chen, Bingsheng He:
A System for Time Series Feature Extraction in Federated Learning. CIKM 2022: 5024-5028 - [c173]Qinbin Li, Yiqun Diao, Quan Chen, Bingsheng He:
Federated Learning on Non-IID Data Silos: An Experimental Study. ICDE 2022: 965-978 - [c172]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: 2818-2830 - [c171]Zining Zhang, Bingsheng He, Zhenjie Zhang:
HARL: Hierarchical Adaptive Reinforcement Learning Based Auto Scheduler for Neural Networks. ICPP 2022: 77:1-77:13 - [c170]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: 116-129 - [c169]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: 4601-4611 - [c168]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: 1342-1358 - [c167]Zhaomin Wu, Qinbin Li, Bingsheng He:
A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning. NeurIPS 2022 - [i43]Ruofan Liang, Bingsheng He, Shengen Yan, Peng Sun:
A Simulation Platform for Multi-tenant Machine Learning Services on Thousands of GPUs. CoRR abs/2201.03175 (2022) - [i42]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 abs/2203.02676 (2022) - [i41]Xibo Sun, Shixuan Sun, Qiong Luo, Bingsheng He:
An In-Depth Study of Continuous Subgraph Matching (Complete Version). CoRR abs/2203.06913 (2022) - [i40]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) - [i39]Zhaomin Wu, Qinbin Li, Bingsheng He:
Practical Vertical Federated Learning with Unsupervised Representation Learning. CoRR abs/2208.10278 (2022) - [i38]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 abs/2211.06977 (2022) - [i37]Zining Zhang, Bingsheng He, Zhenjie Zhang:
HARL: Hierarchical Adaptive Reinforcement Learning Based Auto Scheduler for Neural Networks. CoRR abs/2211.11172 (2022) - 2021
- [j144]Shengjie Xu, Bingsheng He:
A parallel splitting ALM-based algorithm for separable convex programming. Comput. Optim. Appl. 80(3): 831-851 (2021) - [j143]Yun Peng, Xin Lin, Byron Choi, Bingsheng He:
VColor*: a practical approach for coloring large graphs. Frontiers Comput. Sci. 15(4): 154610 (2021) - [j142]Johns Paul, Shengliang Lu, Bingsheng He:
Database Systems on GPUs. Found. Trends Databases 11(1): 1-108 (2021) - [j141]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): 799-812 (2021) - [j140]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) - [j139]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): 58:1-58:24 (2021) - [j138]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): 12741-12770 (2021) - [j137]Feng Zhang, Jidong Zhai, Bo Wu, Bingsheng He, Wenguang Chen, Xiaoyong Du:
Automatic Irregularity-Aware Fine-Grained Workload Partitioning on Integrated Architectures. IEEE Trans. Knowl. Data Eng. 33(3): 867-881 (2021) - [j136]Ze-ke Wang, Xue Liu, Kai Zhang, Haihang Zhou, Bingsheng He:
Understanding and Optimizing Conjunctive Predicates Under Memory-Efficient Storage Layouts. IEEE Trans. Knowl. Data Eng. 33(6): 2803-2817 (2021) - [j135]Chenyang Zhang, Feng Zhang, Xiaoguang Guo, Bingsheng He, Xiao Zhang, Xiaoyong Du:
iMLBench: A Machine Learning Benchmark Suite for CPU-GPU Integrated Architectures. IEEE Trans. Parallel Distributed Syst. 32(7): 1740-1752 (2021) - [j134]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): 2303-2320 (2021) - [j133]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): 2321-2337 (2021) - [c166]Zhao Li, Pengcheng Zou, Xia Chen, Shichang Hu, Peng Zhang, Yumou Zhang, Bingsheng He, Yuchen Li, Xing Tang:
From Community Search to Community Understanding: A Multimodal Community Query Engine. CIKM 2021: 4749-4753 - [c165]Qinbin Li, Bingsheng He, Dawn Song:
Model-Contrastive Federated Learning. CVPR 2021: 10713-10722 - [c164]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. DAC 2021: 937-942 - [c163]Qiuyi Lyu, Yuchen Li, Bingsheng He, Bin Gong:
DBL: Efficient Reachability Queries on Dynamic Graphs. DASFAA (2) 2021: 761-777 - [c162]Xinyu Chen, Hongshi Tan, Yao Chen, Bingsheng He, Weng-Fai Wong, Deming Chen:
ThunderGP: HLS-based Graph Processing Framework on FPGAs. FPGA 2021: 69-80 - [c161]Yu Zhang, Xiaofei Liao, Hai Jin, Ligang He, Bingsheng He, Haikun Liu, Lin Gu:
DepGraph: A Dependency-Driven Accelerator for Efficient Iterative Graph Processing. HPCA 2021: 371-384 - [c160]Zining Zhang, Bingsheng He, Zhenjie Zhang:
TransMask: A Compact and Fast Speech Separation Model Based on Transformer. ICASSP 2021: 5764-5768 - [c159]Zhuohui Duan, Haikun Liu, Haodi Lu, Xiaofei Liao, Hai Jin, Yu Zhang, Bingsheng He:
Gengar: An RDMA-based Distributed Hybrid Memory Pool. ICDCS 2021: 92-103 - [c158]Hongshi Tan, Xinyu Chen, Yao Chen, Bingsheng He, Weng-Fai Wong:
ThundeRiNG: generating multiple independent random number sequences on FPGAs. ICS 2021: 115-126 - [c157]Qinbin Li, Bingsheng He, Dawn Song:
Practical One-Shot Federated Learning for Cross-Silo Setting. IJCAI 2021: 1484-1490 - [c156]Zeyi Wen, Qinbin Li, Bingsheng He, Bin Cui:
Challenges and Opportunities of Building Fast GBDT Systems. IJCAI 2021: 4661-4668 - [c155]Zeyi Wen, Zhishang Zhou, Hanfeng Liu, Bingsheng He, Xia Li, Jian Chen:
Enhancing SVMs with Problem Context Aware Pipeline. KDD 2021: 1821-1829 - [c154]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: 45 - [c153]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: 1014-1022 - [c152]Shengliang Lu, Shixuan Sun, Johns Paul, Yuchen Li, Bingsheng He:
Cache-Efficient Fork-Processing Patterns on Large Graphs. SIGMOD Conference 2021: 1208-1221 - [c151]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 - [c150]Shixuan Sun, Yuhang Chen, Bingsheng He, Bryan Hooi:
PathEnum: Towards Real-Time Hop-Constrained s-t Path Enumeration. SIGMOD Conference 2021: 1758-1770 - [c149]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: 2089-2101 - [c148]Chang Ye, Yuchen Li, Bingsheng He, Zhao Li, Jianling Sun:
GPU-Accelerated Graph Label Propagation for Real-Time Fraud Detection. SIGMOD Conference 2021: 2348-2356 - [i36]Qiuyi Lyu, Yuchen Li, Bingsheng He, Bin Gong:
DBL: Efficient Reachability Queries on Dynamic Graphs (Complete Version). CoRR abs/2101.09441 (2021) - [i35]Qinbin Li, Yiqun Diao, Quan Chen, Bingsheng He:
Federated Learning on Non-IID Data Silos: An Experimental Study. CoRR abs/2102.02079 (2021) - [i34]Zining Zhang, Bingsheng He, Zhenjie Zhang:
TransMask: A Compact and Fast Speech Separation Model Based on Transformer. CoRR abs/2102.09978 (2021) - [i33]Shixuan Sun, Yuhang Chen, Bingsheng He, Bryan Hooi:
PathEnum: Towards Real-Time Hop-Constrained s-t Path Enumeration. CoRR abs/2103.11137 (2021) - [i32]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 abs/2103.12465 (2021) - [i31]Shengliang Lu, Shixuan Sun, Johns Paul, Yuchen Li, Bingsheng He:
Cache-Efficient Fork-Processing Patterns on Large Graphs. CoRR abs/2103.14915 (2021) - [i30]Qinbin Li, Bingsheng He, Dawn Song:
Model-Contrastive Federated Learning. CoRR abs/2103.16257 (2021) - [i29]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 abs/2105.04151 (2021) - [i28]Hongshi Tan, Xinyu Chen, Yao Chen, Bingsheng He, Weng-Fai Wong:
ThundeRiNG: Generating Multiple Independent Random Number Sequences on FPGAs. CoRR abs/2105.09578 (2021) - [i27]Zhaomin Wu, Qinbin Li, Bingsheng He:
A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning. CoRR abs/2106.06312 (2021) - [i26]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) - [i25]Zijun Li, Linsong Guo, Jiagan Cheng, Quan Chen, Bingsheng He, Minyi Guo:
The Serverless Computing Survey: A Technical Primer for Design Architecture. CoRR abs/2112.12921 (2021) - 2020
- [j132]Bingsheng He, Feng Ma, Xiaoming Yuan:
Optimally linearizing the alternating direction method of multipliers for convex programming. Comput. Optim. Appl. 75(2): 361-388 (2020) - [j131]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) - [j130]Zeyi Wen, Hanfeng Liu, Jiashuai Shi, Qinbin Li, Bingsheng He, Jian Chen:
ThunderGBM: Fast GBDTs and Random Forests on GPUs. J. Mach. Learn. Res. 21: 108:1-108:5 (2020) - [j129]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) - [j128]Shixuan Sun, Xibo Sun, Yulin Che, Qiong Luo, Bingsheng He:
RapidMatch: A Holistic Approach to Subgraph Query Processing. Proc. VLDB Endow. 14(2): 176-188 (2020) - [j127]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) - [j126]Shengliang Lu, Bingsheng He, Yuchen Li, Hao Fu:
Accelerating Exact Constrained Shortest Paths on GPUs. Proc. VLDB Endow. 14(4): 547-559 (2020) - [j125]Yu Zhang, Xiaofei Liao, Lin Gu, Hai Jin, Kan Hu, Haikun Liu, Bingsheng He:
AsynGraph: Maximizing Data Parallelism for Efficient Iterative Graph Processing on GPUs. ACM Trans. Archit. Code Optim. 17(4): 29:1-29:21 (2020) - [j124]Dawen Xu, Cheng Liu, Ying Wang, Kaijie Tu, Bingsheng He, Lei Zhang:
Accelerating Generative Neural Networks on Unmodified Deep Learning Processors - A Software Approach. IEEE Trans. Computers 69(8): 1172-1184 (2020)