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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
- 2022
[j149]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)- [j148]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) - [j147]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) - [j146]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) - [j145]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) - [i40]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) - [i39]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) - [i38]Xibo Sun, Shixuan Sun, Qiong Luo, Bingsheng He:
An In-Depth Study of Continuous Subgraph Matching (Complete Version). CoRR abs/2203.06913 (2022) - [i37]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) - 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: 45:1-45:14 - [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:
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) - [j123]Haikun Liu, Renshan Liu, Xiaofei Liao, Hai Jin, Bingsheng He, Yu Zhang:
Object-Level Memory Allocation and Migration in Hybrid Memory Systems. IEEE Trans. Computers 69(9): 1401-1413 (2020) - [j122]Jieru Zhao, Liang Feng, Sharad Sinha, Wei Zhang, Yun Liang, Bingsheng He:
Performance Modeling and Directives Optimization for High-Level Synthesis on FPGA. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(7): 1428-1441 (2020) - [j121]Qinbin Li, Zeyi Wen, Bingsheng He:
Adaptive Kernel Value Caching for SVM Training. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2376-2386 (2020) - [j120]Qiumin Lu, Xiao Zheng, Jiacheng Ma, Yaozu Dong, Zhengwei Qi, Jianguo Yao, Bingsheng He, Haibing Guan:
gMig: Efficient vGPU Live Migration with Overlapped Software-Based Dirty Page Verification. IEEE Trans. Parallel Distributed Syst. 31(5): 1209-1222 (2020) - [j119]Amelie Chi Zhou, Bingkun Shen, Yao Xiao, Shadi Ibrahim, Bingsheng He:
Cost-Aware Partitioning for Efficient Large Graph Processing in Geo-Distributed Datacenters. IEEE Trans. Parallel Distributed Syst. 31(7): 1707-1723 (2020) - [c147]Qinbin Li, Zhaomin Wu, Zeyi Wen, Bingsheng He:
Privacy-Preserving Gradient Boosting Decision Trees. AAAI 2020: 784-791 - [c146]Qinbin Li, Zeyi Wen, Bingsheng He:
Practical Federated Gradient Boosting Decision Trees. AAAI 2020: 4642-4649 - [c145]Xinyu Chen, Yao Chen, Ronak Bajaj, Jiong He, Bingsheng He, Weng-Fai Wong, Deming Chen:
Is FPGA Useful for Hash Joins? CIDR 2020 - [c144]Xuanhua Shi, Zezhao Feng, Kaixi Li, Yongluan Zhou, Hai Jin, Yan Jiang, Bingsheng He, Zhijun Ling, Xin Li:
ByteSeries: an in-memory time series database for large-scale monitoring systems. SoCC 2020: 60-73 - [c143]Johns Paul, Jie Liang Ang, Tianyuan Fu, Bingsheng He, Shengliang Lu, Sien Yi Tan, Feng Cheng:
Poet: an Interactive Spatial Query Processing System in Grab. SIGSPATIAL/GIS 2020: 477-486 - [c142]Bo Liu, Wenbin Jiang, Shaofeng Zhao, Hai Jin, Bingsheng He:
GradSA: Gradient Sparsification and Accumulation for Communication-Efficient Distributed Deep Learning. GPC 2020: 77-91 - [c141]Tao Luo, Wei Zhang, Bingsheng He, Cheng Liu, Douglas L. Maskell:
Energy Efficient In-memory Integer Multiplication Based on Racetrack Memory. ICDCS 2020: 1409-1414 - [c140]Li Wang, Zining Zhang, Bingsheng He, Zhenjie Zhang:
PA-Tree: Polled-Mode Asynchronous B+ Tree for NVMe. ICDE 2020: 553-564 - [c139]Shuhao Zhang, Yingjun Wu, Feng Zhang, Bingsheng He:
Towards Concurrent Stateful Stream Processing on Multicore Processors. ICDE 2020: 1537-1548 - [c138]Xuanhua Shi, Yipeng Zhang, Hong Huang, Zhenyu Hu, Hai Jin, Huan Shen, Yongluan Zhou, Bingsheng He, Ruibo Li, Keyong Zhou:
Maxson: Reduce Duplicate Parsing Overhead on Raw Data. ICDE 2020: 1621-1632 - [c137]Jiya Su, Feng Zhang, Weifeng Liu, Bingsheng He, Ruofan Wu, Xiaoyong Du, Rujia Wang:
CapelliniSpTRSV: A Thread-Level Synchronization-Free Sparse Triangular Solve on GPUs. ICPP 2020: 2:1-2:11 - [c136]Feng Zhang, Ningxuan Feng, Yani Liu, Cheng Yang, Jidong Zhai, Shuhao Zhang, Bingsheng He, Jiazao Lin, Xiaoyong Du:
PewLSTM: Periodic LSTM with Weather-Aware Gating Mechanism for Parking Behavior Prediction. IJCAI 2020: 4424-4430 - [c135]Zining Zhang, Bingsheng He, Zhenjie Zhang:
GAZEV: GAN-Based Zero-Shot Voice Conversion Over Non-Parallel Speech Corpus. INTERSPEECH 2020: 791-795 - [c134]Zining Zhang, Bingsheng He, Zhenjie Zhang:
X-TaSNet: Robust and Accurate Time-Domain Speaker Extraction Network. INTERSPEECH 2020: 1421-1425 - [c133]Wentian Guo, Yuchen Li, Mo Sha, Bingsheng He, Xiaokui Xiao, Kian-Lee Tan:
GPU-Accelerated Subgraph Enumeration on Partitioned Graphs. SIGMOD Conference 2020: 1067-1082 - [c132]Feng Zhang, Lin Yang, Shuhao Zhang, Bingsheng He, Wei Lu, Xiaoyong Du:
FineStream: Fine-Grained Window-Based Stream Processing on CPU-GPU Integrated Architectures. USENIX Annual Technical Conference 2020: 633-647 - [e1]Bingsheng He, Berthold Reinwald, Yingjun Wu:
AIDB@VLDB 2020, 2nd International Workshop on Applied AI for Database Systems and Applications, Held with VLDB 2020, Monday, August 31, 2020, Online Event / Tokyo, Japan. 2020 [contents] - [i24]Shuhao Zhang, Feng Zhang, Yingjun Wu, Bingsheng He, Paul Johns:
Hardware-Conscious Stream Processing: A Survey. CoRR abs/2001.05667 (2020) - [i23]Sixu Hu, Yuan Li, Xu Liu, Qinbin Li, Zhaomin Wu, Bingsheng He:
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems. CoRR abs/2006.07856 (2020) - [i22]Qinbin Li, Bingsheng He, Dawn Song:
Model-Agnostic Round-Optimal Federated Learning via Knowledge Transfer. CoRR abs/2010.01017 (2020) - [i21]Haikun Liu, Di Chen, Hai Jin, Xiaofei Liao, Bingsheng He, Kan Hu, Yu Zhang:
A Survey of Non-Volatile Main Memory Technologies: State-of-the-Arts, Practices, and Future Directions. CoRR abs/2010.04406 (2020) - [i20]Zining Zhang, Bingsheng He, Zhenjie Zhang:
GAZEV: GAN-Based Zero-Shot Voice Conversion over Non-parallel Speech Corpus. CoRR abs/2010.12788 (2020)
2010 – 2019
- 2019
- [j118]Chuangyi Gui, Long Zheng, Bingsheng He, Cheng Liu, Xinyu Chen, Xiaofei Liao, Hai Jin:
A Survey on Graph Processing Accelerators: Challenges and Opportunities. J. Comput. Sci. Technol. 34(2): 339-371 (2019) - [j117]Shuhao Zhang, Feng Zhang, Yingjun Wu, Bingsheng He, Paul Johns:
Hardware-Conscious Stream Processing: A Survey. SIGMOD Rec. 48(4): 18-29 (2019) - [j116]Xiaoyuan Wang, Haikun Liu, Xiaofei Liao, Ji Chen, Hai Jin, Yu Zhang, Long Zheng, Bingsheng He, Song Jiang:
Supporting Superpages and Lightweight Page Migration in Hybrid Memory Systems. ACM Trans. Archit. Code Optim. 16(2): 11:1-11:26 (2019) - [j115]Bingsheng He, Yunji Chen, Jingren Zhou:
Guest Editors' Introduction: Special Issue on Big Data Systems on Emerging Architectures. IEEE Trans. Big Data 5(1): 2-3 (2019) - [j114]Haikun Liu, Bingsheng He, Xiaofei Liao, Hai Jin:
Towards Declarative and Data-Centric Virtual Machine Image Management in IaaS Clouds. IEEE Trans. Cloud Comput. 7(4): 1124-1138 (2019) - [j113]Zeyi Wen, Jiashuai Shi, Bingsheng He, Jian Chen, Yawen Chen:
Efficient Multi-Class Probabilistic SVMs on GPUs. IEEE Trans. Knowl. Data Eng. 31(9): 1693-1706 (2019) - [j112]Yu Zhang, Jin Zhao, Xiaofei Liao, Hai Jin, Lin Gu, Haikun Liu, Bingsheng He, Ligang He:
CGraph: A Distributed Storage and Processing System for Concurrent Iterative Graph Analysis Jobs. ACM Trans. Storage 15(2): 10:1-10:26 (2019) - [j111]Amelie Chi Zhou, Yao Xiao, Yifan Gong, Bingsheng He, Jidong Zhai, Rui Mao:
Privacy Regulation Aware Process Mapping in Geo-Distributed Cloud Data Centers. IEEE Trans. Parallel Distributed Syst. 30(8): 1872-1888 (2019) - [j110]Zeyi Wen, Jiashuai Shi, Bingsheng He, Jian Chen, Kotagiri Ramamohanarao, Qinbin Li:
Exploiting GPUs for Efficient Gradient Boosting Decision Tree Training. IEEE Trans. Parallel Distributed Syst. 30(12): 2706-2717 (2019) - [j109]Qiumin Lu, Jianguo Yao, Zhengwei Qi, Bingsheng He, Haibing Guan:
Fairness-Efficiency Allocation of CPU-GPU Heterogeneous Resources. IEEE Trans. Serv. Comput. 12(3): 474-488 (2019) - [j108]Zhaojie Niu, Shanjiang Tang, Bingsheng He:
An Adaptive Efficiency-Fairness Meta-Scheduler for Data-Intensive Computing. IEEE Trans. Serv. Comput. 12(6): 865-879 (2019) - [c131]Yu Zhang, Xiaofei Liao, Hai Jin, Bingsheng He, Haikun Liu, Lin Gu:
DiGraph: An Efficient Path-based Iterative Directed Graph Processing System on Multiple GPUs. ASPLOS 2019: 601-614 - [c130]Jieliang Ang, Tianyuan Fu, Johns Paul, Shuhao Zhang, Bingsheng He, Teddy Sison David Wenceslao, Sien Yi Tan:
TraV: An Interactive Exploration System for Massive Trajectory Data. BigMM 2019: 309-313 - [c129]Xuntao Cheng, Bingsheng He, Eric Lo, Wei Wang, Shengliang Lu, Xinyu Chen:
Deploying Hash Tables on Die-Stacked High Bandwidth Memory. CIKM 2019: 239-248 - [c128]Xinyu Chen, Ronak Bajaj, Yao Chen, Jiong He, Bingsheng He, Weng-Fai Wong, Deming Chen:
On-The-Fly Parallel Data Shuffling for Graph Processing on OpenCL-Based FPGAs. FPL 2019: 67-73 - [c127]Johns Paul, Bingsheng He, Shengliang Lu, Chiew Tong Lau:
Revisiting Hash Join on Graphics Processors: A Decade Later. ICDE Workshops 2019: 294-299 - [c126]Zeyi Wen, Mingyu Liang, Bingsheng He, Zexin Xia, Bo Li:
Aucher: Multi-modal Queries on Live Audio Streams in Real-Time. ICDE 2019: 1960-1963 - [c125]Zeyi Wen, Jiashuai Shi, Bingsheng He, Jian Chen, Yawen Chen:
Efficient Multi-Class Probabilistic SVMs on GPUs. ICDE 2019: 2119-2120 - [c124]Cheng Liu, Xinyu Chen, Bingsheng He, Xiaofei Liao, Ying Wang, Lei Zhang:
OBFS: OpenCL Based BFS Optimizations on Software Programmable FPGAs. FPT 2019: 315-318 - [c123]Amelie Chi Zhou, Yao Xiao, Bingsheng He, Shadi Ibrahim, Reynold Cheng:
Incorporating Probabilistic Optimizations for Resource Provisioning of Data Processing Workflows. ICPP 2019: 6:1-6:10 - [c122]Jin Zhao, Yu Zhang, Xiaofei Liao, Ligang He, Bingsheng He, Hai Jin, Haikun Liu, Yicheng Chen:
GraphM: an efficient storage system for high throughput of concurrent graph processing. SC 2019: 3:1-3:14 - [c121]Shuhao Zhang, Jiong He, Amelie Chi Zhou, Bingsheng He:
BriskStream: Scaling Data Stream Processing on Shared-Memory Multicore Architectures. SIGMOD Conference 2019: 705-722 - [r5]Xuntao Cheng, Cheng Liu, Bingsheng He:
Emerging Hardware Technologies. Encyclopedia of Big Data Technologies 2019 - [r4]Zhaojie Niu, Bingsheng He:
Storage Technologies for Big Data. Encyclopedia of Big Data Technologies 2019 - [r3]Johns Paul, Bingsheng He, Chiew Tong Lau:
GPU-Based Hardware Platforms. Encyclopedia of Big Data Technologies 2019 - [r2]Johns Paul, Bingsheng He, Chiew Tong Lau:
Search and Query Accelerators. Encyclopedia of Big Data Technologies 2019 - [r1]