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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
- 2024
[j183]Shuo Shang, Bingsheng He, Lizhe Wang:
Introduction to distributed and parallel processing of big spatiotemporal data. Future Gener. Comput. Syst. 151: 98-99 (2024)- [j182]Siyuan Yao
, Yuchen Li, Shixuan Sun, Jiaxin Jiang, Bingsheng He:
uBlade: Efficient Batch Processing for Uncertainty Graph Queries. Proc. ACM Manag. Data 2(3): 179 (2024) - [j181]Yiqun Diao, Yutong Yang, Qinbin Li, Bingsheng He, Mian Lu:
OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams. Proc. VLDB Endow. 17(6): 1283-1296 (2024) - [j180]Junyi Mei, Shixuan Sun, Chao Li, Cheng Xu, Cheng Chen, Yibo Liu, Jing Wang, Cheng Zhao, Xiaofeng Hou, Minyi Guo, Bingsheng He, Xiaoliang Cong:
FlowWalker: A Memory-efficient and High-performance GPU-based Dynamic Graph Random Walk Framework. Proc. VLDB Endow. 17(8): 1788-1801 (2024) - [j179]Yifei Xia, Feng Zhang, Qingyu Xu, Mingde Zhang, Zhiming Yao, Lv Lu, Xiaoyong Du, Dong Deng, Bingsheng He, Siqi Ma:
GPU-based butterfly counting. VLDB J. 33(5): 1543-1567 (2024) - [c198]Yiqun Diao, Qinbin Li, Bingsheng He:
Exploiting Label Skews in Federated Learning with Model Concatenation. AAAI 2024: 11784-11792 - [c197]Yushi Liu, Shixuan Sun, Zijun Li, Quan Chen, Sen Gao, Bingsheng He, Chao Li, Minyi Guo:
FaaSGraph: Enabling Scalable, Efficient, and Cost-Effective Graph Processing with Serverless Computing. ASPLOS (2) 2024: 385-400 - [c196]Yunhong Ji, Wentao Huang, Xuan Zhou, Bingsheng He, Kian-Lee Tan:
TaC: An Anti-Caching Key-Value Store on Heterogeneous Memory Architectures. EDBT 2024: 474-487 - [c195]Nan Chen, Zemin Liu, Bryan Hooi, Bingsheng He, Rizal Fathony, Jun Hu, Jia Chen:
Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision. ICLR 2024 - [c194]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. ICLR 2024 - [c193]Qian Wang, Zhen Zhang, Zemin Liu, Shengliang Lu, Bingqiao Luo, Bingsheng He:
EX-Graph: A Pioneering Dataset Bridging Ethereum and X. ICLR 2024 - [c192]Zhaomin Wu, Junyi Hou, Bingsheng He:
VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks. ICLR 2024 - [c191]Wei Zhuo, Zemin Liu, Bryan Hooi, Bingsheng He, Guang Tan, Rizal Fathony, Jia Chen:
Partitioning Message Passing for Graph Fraud Detection. ICLR 2024 - [c190]Zhen Zhang, Meihan Liu, Anhui Wang, Hongyang Chen, Zhao Li, Jiajun Bu, Bingsheng He:
Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation. WWW 2024: 664-675 - [c189]Moming Duan, Qinbin Li, Bingsheng He:
ModelGo: A Practical Tool for Machine Learning License Analysis. WWW 2024: 1158-1169 - [i62]Qian Wang, Zemin Liu, Zhen Zhang, Bingsheng He:
BuffGraph: Enhancing Class-Imbalanced Node Classification via Buffer Nodes. CoRR abs/2402.13114 (2024) - [i61]Zhen Zhang, Meihan Liu, Anhui Wang, Hongyang Chen, Zhao Li, Jiajun Bu, Bingsheng He:
Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation. CoRR abs/2403.01467 (2024) - [i60]Junyi Mei, Shixuan Sun, Chao Li, Cheng Xu, Cheng Chen, Yibo Liu, Jing Wang, Cheng Zhao, Xiaofeng Hou, Minyi Guo, Bingsheng He, Xiaoliang Cong:
FlowWalker: A Memory-efficient and High-performance GPU-based Dynamic Graph Random Walk Framework. CoRR abs/2404.08364 (2024) - [i59]Yuan Li, Bingqiao Luo, Qian Wang, Nuo Chen, Xu Liu, Bingsheng He:
A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading. CoRR abs/2407.09546 (2024) - [i58]Meihan Liu, Zhen Zhang, Jiachen Tang, Jiajun Bu, Bingsheng He, Sheng Zhou:
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation. CoRR abs/2407.11052 (2024) - 2023
- [j178]Flora D. Salim, Bingsheng He, Ken-ichi Kawarabayashi:
Welcome. Commun. ACM 66(7): 36-38 (2023) - [j177]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): 1633-1663 (2023) - [j176]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) - [j175]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) - [j174]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) - [j173]Qiange Wang, Yao Chen, Weng-Fai Wong, Bingsheng He:
HongTu: Scalable Full-Graph GNN Training on Multiple GPUs. Proc. ACM Manag. Data 1(4): 246:1-246:27 (2023) - [j172]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) - [j171]Sen Gao, Hongchao Qin, Rong-Hua Li, Bingsheng He:
Parallel Colorful h-star Core Maintenance in Dynamic Graphs. Proc. VLDB Endow. 16(10): 2538-2550 (2023) - [j170]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): 3597-3609 (2023) - [j169]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): 37:1-37:24 (2023) - [j168]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): 53:1-53:26 (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) - [c188]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 - [c187]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 - [c186]Zeyi Wen, Mingyu Liang, Bingsheng He, Zexin Xia:
A High-Performance Index for Real-Time Matrix Retrieval (Extended Abstract). ICDE 2023: 3757-3758 - [c185]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 - [c184]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: 698-707 - [c183]Yiqun Diao, Qinbin Li, Bingsheng He:
Towards Addressing Label Skews in One-Shot Federated Learning. ICLR 2023 - [c182]Qinbin Li, Bingsheng He, Dawn Song:
Adversarial Collaborative Learning on Non-IID Features. ICML 2023: 19504-19526 - [c181]Sixu Hu, Qinbin Li, Bingsheng He:
Communication-Efficient Generalized Neuron Matching for Federated Learning. ICPP 2023: 254-263 - [c180]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 - [c179]Zining Zhang, Bingsheng He, Zhenjie Zhang:
Practical Edge Kernels for Integer-Only Vision Transformers Under Post-training Quantization. MLSys 2023 - [c178]Qinbin Li, Zhaomin Wu, Yanzheng Cai, Yuxuan Han, Ching Man Yung, Tianyuan Fu, Bingsheng He:
FedTree: A Federated Learning System For Trees. MLSys 2023 - [c177]Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He:
Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT. NeurIPS 2023 - [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 - [i57]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) - [i56]Hongshi Tan, Xinyu Chen, Yao Chen, Bingsheng He, Weng-Fai Wong:
LightRW: FPGA Accelerated Graph Dynamic Random Walks. CoRR abs/2304.07004 (2023) - [i55]Zhaomin Wu, Junyi Hou, Bingsheng He:
VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks. CoRR abs/2307.02040 (2023) - [i54]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) - [i53]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) - [i52]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) - [i51]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) - [i50]Qian Wang, Zhen Zhang, Zemin Liu, Shengliang Lu, Bingqiao Luo, Bingsheng He:
ETGraph: A Pioneering Dataset Bridging Ethereum and Twitter. CoRR abs/2310.01015 (2023) - [i49]Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He:
Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT. CoRR abs/2310.11709 (2023) - [i48]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 abs/2310.11865 (2023) - [i47]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 abs/2310.12670 (2023) - [i46]Jun Hu, Bryan Hooi, Bingsheng He:
Efficient Heterogeneous Graph Learning via Random Projection. CoRR abs/2310.14481 (2023) - [i45]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 abs/2311.14898 (2023) - [i44]Yiqun Diao, Qinbin Li, Bingsheng He:
Exploiting Label Skews in Federated Learning with Model Concatenation. CoRR abs/2312.06290 (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]