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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
- 2025
[j197]Bingqiao Luo
, Zhen Zhang, Qian Wang, Anli Ke, Shengliang Lu, Bingsheng He:
AI-powered Fraud Detection in Decentralized Finance: A Project Life Cycle Perspective. ACM Comput. Surv. 57(4): 96:1-96:38 (2025)- [j196]Lyu Xu, Jiaxin Jiang, Byron Choi, Jianliang Xu, Bingsheng He:
Bursting Flow Query on Large Temporal Flow Networks. Proc. ACM Manag. Data 3(1): 18:1-18:26 (2025) - [j195]Jixian Su, Chiyu Hao, Shixuan Sun, Hao Zhang, Sen Gao, Jiaxin Jiang, Yao Chen, Chenyi Zhang, Bingsheng He, Minyi Guo:
Revisiting the Design of In-Memory Dynamic Graph Storage. Proc. ACM Manag. Data 3(1): 70:1-70:27 (2025) - [c213]Jun Hu, Bryan Hooi, Bingsheng He, Yinwei Wei:
Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation. AAAI 2025: 11790-11798 - [c212]Hao Qi, Kang Luo, Ligang He, Yu Zhang, Minzhi Cai, Jingxin Dai, Bingsheng He, Hai Jin, Zhan Zhang, Jin Zhao, Hengshan Yue, Hui Yu, Xiaofei Liao:
OHMiner: An Overlap-centric System for Efficient Hypergraph Pattern Mining. EuroSys 2025: 621-636 - [c211]Jiaqi Zhai, Xuanhua Shi, Kaiyi Huang, Chencheng Ye, Weifang Hu, Bingsheng He, Hai Jin:
AccelES: Accelerating Top-K SpMV for Embedding Similarity via Low-bit Pruning. HPCA 2025: 977-990 - [c210]Yifei Sun, Zemin Liu, Bryan Hooi, Yang Yang, Rizal Fathony, Jia Chen, Bingsheng He:
Multi-Label Node Classification with Label Influence Propagation. ICLR 2025 - [c209]Nan Chen, Zemin Liu, Bryan Hooi, Bingsheng He, Jun Hu, Jia Chen:
NodeImport: Imbalanced Node Classification with Node Importance Assessment. KDD (1) 2025: 94-105 - [c208]Borui Xu, Zeyi Wen, Yao Chen, Weiguo Liu, Weng-Fai Wong, Bingsheng He:
ScalaGBM: Memory Efficient GBDT Training for High-Dimensional Data on GPU. KDD (1) 2025: 1669-1678 - [c207]Jie Sun, Zuocheng Shi, Li Su, Wenting Shen, Zeke Wang, Yong Li, Wenyuan Yu, Wei Lin, Fei Wu, Bingsheng He, Jingren Zhou:
Helios: Efficient Distributed Dynamic Graph Sampling for Online GNN Inference. PPoPP 2025: 2-15 - [c206]Zhen Zhang, Bingsheng He:
Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation. WWW 2025: 4420-4431 - [i90]Qian Wang, Jiaying Wu, Zhenheng Tang, Bingqiao Luo, Nuo Chen, Wei Chen, Bingsheng He:
What Limits LLM-based Human Simulation: LLMs or Our Design? CoRR abs/2501.08579 (2025) - [i89]Xuanhe Zhou, Wei Zhou, Liguo Qi, Hao Zhang, Dihao Chen, Bingsheng He, Mian Lu, Guoliang Li, Fan Wu, Yuqiang Chen:
OpenMLDB: A Real-Time Relational Data Feature Computation System for Online ML. CoRR abs/2501.08591 (2025) - [i88]Borui Xu, Yao Chen, Zeyi Wen, Weiguo Liu, Bingsheng He:
Evaluating Small Language Models for News Summarization: Implications and Factors Influencing Performance. CoRR abs/2502.00641 (2025) - [i87]Zhen Zhang, Bingsheng He:
Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation. CoRR abs/2502.03033 (2025) - [i86]Weihao Cui, Ji Zhang, Han Zhao, Chao Liu, Wenhao Zhang, Jian Sha, Quan Chen, Bingsheng He, Minyi Guo:
XPUTimer: Anomaly Diagnostics for Divergent LLM Training in GPU Clusters of Thousand-Plus Scale. CoRR abs/2502.05413 (2025) - [i85]Zhaomin Wu, Zhen Qin, Junyi Hou, Haodong Zhao, Qinbin Li, Bingsheng He, Lixin Fan:
Vertical Federated Learning in Practice: The Good, the Bad, and the Ugly. CoRR abs/2502.08160 (2025) - [i84]Zhaomin Wu, Shida Wang, Ziyang Wang, Bingsheng He:
Learning Relational Tabular Data without Shared Features. CoRR abs/2502.10125 (2025) - [i83]Jixian Su, Chiyu Hao, Shixuan Sun, Hao Zhang, Sen Gao, Jiaxin Jiang, Yao Chen, Chenyi Zhang, Bingsheng He, Minyi Guo:
Revisiting the Design of In-Memory Dynamic Graph Storage. CoRR abs/2502.10959 (2025) - [i82]Zhenheng Tang, Xiang Liu, Qian Wang, Peijie Dong, Bingsheng He, Xiaowen Chu, Bo Li:
The Lottery LLM Hypothesis, Rethinking What Abilities Should LLM Compression Preserve? CoRR abs/2502.17535 (2025) - [i81]Qian Wang, Zhenheng Tang, Bingsheng He:
From ChatGPT to DeepSeek: Can LLMs Simulate Humanity? CoRR abs/2502.18210 (2025) - [i80]Weihao Cui, Ziyi Xu, Han Zhao, Quan Chen, Zijun Li, Bingsheng He, Minyi Guo:
Efficient Function-as-a-Service for Large Language Models with TIDAL. CoRR abs/2503.06421 (2025) - [i79]Zeke Wang, Jie Zhang, Hongjing Huang, Yingtao Li, Xueying Zhu, Mo Sun, Zihan Yang, De Ma, Huajin Tang, Gang Pan, Fei Wu, Bingsheng He, Gustavo Alonso:
FpgaHub: Fpga-centric Hyper-heterogeneous Computing Platform for Big Data Analytics. CoRR abs/2503.09318 (2025) - [i78]Zhen Zhang, Meihan Liu, Bingsheng He:
PyGDA: A Python Library for Graph Domain Adaptation. CoRR abs/2503.10284 (2025) - [i77]Wenqi Pei, Hailing Xu, Hengyuan Zhao, Shizheng Hou, Han Chen, Zining Zhang, Pingyi Luo, Bingsheng He:
Feather-SQL: A Lightweight NL2SQL Framework with Dual-Model Collaboration Paradigm for Small Language Models. CoRR abs/2503.17811 (2025) - [i76]Yuan Li, Jun Hu, Jiaxin Jiang, Zemin Liu, Bryan Hooi, Bingsheng He:
RGL: A Graph-Centric, Modular Framework for Efficient Retrieval-Augmented Generation on Graphs. CoRR abs/2503.19314 (2025) - [i75]Han Chen, Zicong Jiang, Zining Zhang, Bingsheng He, Pingyi Luo, Mian Lu, Yuqiang Chen:
LogQuant: Log-Distributed 2-Bit Quantization of KV Cache with Superior Accuracy Preservation. CoRR abs/2503.19950 (2025) - 2024
- [j194]Shuo Shang, Bingsheng He, Lizhe Wang:
Introduction to distributed and parallel processing of big spatiotemporal data. Future Gener. Comput. Syst. 151: 98-99 (2024) - [j193]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) - [j192]Xilin Tang, Feng Zhang, Shuhao Zhang, Yani Liu, Bingsheng He, Xiaoyong Du:
Enabling Adaptive Sampling for Intra-Window Join: Simultaneously Optimizing Quantity and Quality. Proc. ACM Manag. Data 2(4): 198:1-198:31 (2024) - [j191]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) - [j190]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) - [j189]Qinbin Li, Junyuan Hong, Chulin Xie, Jeffrey Tan, Rachel Xin, Junyi Hou, Xavier Yin, Zhun Wang, Dan Hendrycks, Zhangyang Wang, Bo Li, Bingsheng He, Dawn Song:
LLM-PBE: Assessing Data Privacy in Large Language Models. Proc. VLDB Endow. 17(11): 3201-3214 (2024) - [j188]Yuhang Chen, Jiaxin Jiang, Shixuan Sun, Bingsheng He, Min Chen:
RUSH: Real-time Burst Subgraph Discovery in Dynamic Graphs. Proc. VLDB Endow. 17(11): 3657-3665 (2024) - [j187]Jiaxin Jiang, Zhen Zhang, Bingqiao Luo, Bingsheng He, Min Chen, Wei Yang Wang, Jia Chen:
Spade: A Real-Time Fraud Detection Framework. Proc. VLDB Endow. 17(12): 4253-4256 (2024) - [j186]Linshan Jiang, Moming Duan, Bingsheng He, Yulin Sun, Peishen Yan, Yang Hua, Tao Song:
OFL-W3: A One-shot Federated Learning System on Web 3.0. Proc. VLDB Endow. 17(12): 4461-4464 (2024) - [j185]Zhaomin Wu, Qinbin Li, Bingsheng He:
Practical Vertical Federated Learning With Unsupervised Representation Learning. IEEE Trans. Big Data 10(6): 864-878 (2024) - [j184]Chang Ye, Yuchen Li, Bingsheng He, Zhao Li, Jianling Sun:
Large-Scale Graph Label Propagation on GPUs. IEEE Trans. Knowl. Data Eng. 36(10): 5234-5248 (2024) - [j183]Yuchen Li, Shixuan Sun, Hanhua Xiao, Chang Ye, Shengliang Lu, Bingsheng He:
A Survey on Concurrent Processing of Graph Analytical Queries: Systems and Algorithms. IEEE Trans. Knowl. Data Eng. 36(11): 5508-5528 (2024) - [j182]Yujian Fu, Cheng Chen, Xiaohui Chen, Weng-Fai Wong, Bingsheng He:
Optimizing the Number of Clusters for Billion-Scale Quantization-Based Nearest Neighbor Search. IEEE Trans. Knowl. Data Eng. 36(11): 6786-6800 (2024) - [j181]Jiaxin Jiang, Yuhang Chen, Bingsheng He, Min Chen, Jia Chen:
Spade+: A Generic Real-Time Fraud Detection Framework on Dynamic Graphs. IEEE Trans. Knowl. Data Eng. 36(11): 7058-7073 (2024) - [j180]Jun Hu, Bryan Hooi, Bingsheng He:
Efficient Heterogeneous Graph Learning via Random Projection. IEEE Trans. Knowl. Data Eng. 36(12): 8093-8107 (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) - [c205]Yiqun Diao, Qinbin Li, Bingsheng He:
Exploiting Label Skews in Federated Learning with Model Concatenation. AAAI 2024: 11784-11792 - [c204]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 - [c203]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 - [c202]Yuan Li, Bingqiao Luo, Qian Wang, Nuo Chen, Xu Liu, Bingsheng He:
CryptoTrade: A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading. EMNLP 2024: 1094-1106 - [c201]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 - [c200]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 - [c199]Qian Wang, Zhen Zhang, Zemin Liu, Shengliang Lu, Bingqiao Luo, Bingsheng He:
EX-Graph: A Pioneering Dataset Bridging Ethereum and X. ICLR 2024 - [c198]Zhaomin Wu, Junyi Hou, Bingsheng He:
VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks. ICLR 2024 - [c197]Wei Zhuo, Zemin Liu, Bryan Hooi, Bingsheng He, Guang Tan, Rizal Fathony, Jia Chen:
Partitioning Message Passing for Graph Fraud Detection. ICLR 2024 - [c196]Sixu Hu, Linshan Jiang, Bingsheng He:
Practical Hybrid Gradient Compression for Federated Learning Systems. IJCAI 2024: 4147-4155 - [c195]Hui Yu, Yu Zhang, Ligang He, Yingqi Zhao, Xintao Li, Ruida Xin, Jin Zhao, Xiaofei Liao, Haikun Liu, Bingsheng He, Hai Jin:
RAHP: A Redundancy-aware Accelerator for High-performance Hypergraph Neural Network. MICRO 2024: 1264-1277 - [c194]Meihan Liu, Zhen Zhang, Jiachen Tang, Jiajun Bu, Bingsheng He, Sheng Zhou:
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation. NeurIPS 2024 - [c193]Bingqiao Luo, Zhen Zhang, Qian Wang, Bingsheng He:
Multi-Chain Graphs of Graphs: A New Approach to Analyzing Blockchain Datasets. NeurIPS 2024 - [c192]Zhaomin Wu, Junyi Hou, Yiqun Diao, Bingsheng He:
Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data. NeurIPS 2024 - [c191]Wentao Huang, Mo Sha, Mian Lu, Yuqiang Chen, Bingsheng He, Kian-Lee Tan:
Bandwidth Expansion via CXL: A Pathway to Accelerating In-Memory Analytical Processing. VLDB Workshops 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 - [i74]Qian Wang, Zemin Liu, Zhen Zhang, Bingsheng He:
BuffGraph: Enhancing Class-Imbalanced Node Classification via Buffer Nodes. CoRR abs/2402.13114 (2024) - [i73]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) - [i72]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) - [i71]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) - [i70]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) - [i69]Linshan Jiang, Moming Duan, Bingsheng He, Yulin Sun, Peishen Yan, Yang Hua, Tao Song:
OFL-W3: A One-shot Federated Learning System on Web 3.0. CoRR abs/2408.07096 (2024) - [i68]Qian Wang, Tianyu Wang, Qinbin Li, Jingsheng Liang, Bingsheng He:
MegaAgent: A Practical Framework for Autonomous Cooperation in Large-Scale LLM Agent Systems. CoRR abs/2408.09955 (2024) - [i67]Qinbin Li, Junyuan Hong, Chulin Xie, Jeffrey Tan, Rachel Xin, Junyi Hou, Xavier Yin, Zhun Wang, Dan Hendrycks, Zhangyang Wang, Bo Li, Bingsheng He, Dawn Song:
LLM-PBE: Assessing Data Privacy in Large Language Models. CoRR abs/2408.12787 (2024) - [i66]Zining Zhang, Yao Chen, Bingsheng He, Zhenjie Zhang:
Aggressive Post-Training Compression on Extremely Large Language Models. CoRR abs/2409.20094 (2024) - [i65]Zhaomin Wu, Jizhou Guo, Junyi Hou, Bingsheng He, Lixin Fan, Qiang Yang:
Model-Based Differentially Private Knowledge Transfer for Large Language Models. CoRR abs/2410.10481 (2024) - [i64]Zhen Qin, Zhaomin Wu, Bingsheng He, Shuiguang Deng:
Federated Data-Efficient Instruction Tuning for Large Language Models. CoRR abs/2410.10926 (2024) - [i63]Qian Wang, Yuchen Gao, Zhenheng Tang, Bingqiao Luo, Bingsheng He:
Enhancing LLM Trading Performance with Fact-Subjectivity Aware Reasoning. CoRR abs/2410.12464 (2024) - [i62]Zhenheng Tang, Xueze Kang, Yiming Yin, Xinglin Pan, Yuxin Wang, Xin He, Qiang Wang, Rongfei Zeng, Kaiyong Zhao, Shaohuai Shi, Amelie Chi Zhou, Bo Li, Bingsheng He, Xiaowen Chu:
FusionLLM: A Decentralized LLM Training System on Geo-distributed GPUs with Adaptive Compression. CoRR abs/2410.12707 (2024) - [i61]Zhaomin Wu, Junyi Hou, Yiqun Diao, Bingsheng He:
Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data. CoRR abs/2410.17986 (2024) - [i60]Wei Zhuo, Zemin Liu, Bryan Hooi, Bingsheng He, Guang Tan, Rizal Fathony, Jia Chen:
Partitioning Message Passing for Graph Fraud Detection. CoRR abs/2412.00020 (2024) - [i59]Moming Duan, Rui Zhao, Linshan Jiang, Nigel Shadbolt, Bingsheng He:
"They've Stolen My GPL-Licensed Model!": Toward Standardized and Transparent Model Licensing. CoRR abs/2412.11483 (2024) - [i58]Jun Hu, Bryan Hooi, Bingsheng He, Yinwei Wei:
Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation. CoRR abs/2412.13994 (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]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) - [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 ATC 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]Amelie Chi Zhou, Bingsheng He:
Big Data and Exascale Computing. Encyclopedia of Big Data Technologies 2019 - [i19]Chuangyi Gui, Long Zheng, Bingsheng He, Cheng Liu, Xinyu Chen, Xiaofei Liao, Hai Jin:
A Survey on Graph Processing Accelerators: Challenges and Opportunities. CoRR abs/1902.10130 (2019) - [i18]Junzhe Zhang, Sai-Ho Yeung, Yao Shu, Bingsheng He, Wei Wang:
Efficient Memory Management for GPU-based Deep Learning Systems. CoRR abs/1903.06631 (2019) - [i17]Shuhao Zhang, Jiong He, Amelie Chi Zhou, Bingsheng He:
BriskStream: Scaling Data Stream Processing on Shared-Memory Multicore Architectures. CoRR abs/1904.03604 (2019) - [i16]Shuhao Zhang, Yingjun Wu, Feng Zhang, Bingsheng He:
Scaling Stream Processing with Transactional State Management on Multicores. CoRR abs/1904.03800 (2019) - [i15]Qinbin Li, Zeyi Wen, Zhaomin Wu, Sixu Hu, Naibo Wang, Xu Liu, Bingsheng He:
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection. CoRR abs/1907.09693 (2019) - [i14]Qinbin Li, Zeyi Wen, Bingsheng He:
Adaptive Kernel Value Caching for SVM Training. CoRR abs/1911.03011 (2019) - [i13]Qinbin Li, Zeyi Wen, Bingsheng He:
Practical Federated Gradient Boosting Decision Trees. CoRR abs/1911.04206 (2019) - [i12]Qinbin Li, Zhaomin Wu, Zeyi Wen, Bingsheng He:
Privacy-Preserving Gradient Boosting Decision Trees. CoRR abs/1911.04209 (2019) - 2018
- [j107]Bingsheng He, Xiaoming Yuan:
A class of ADMM-based algorithms for three-block separable convex programming. Comput. Optim. Appl. 70(3): 791-826 (2018) - [j106]Zeyi Wen, Jiashuai Shi, Qinbin Li, Bingsheng He, Jian Chen:
ThunderSVM: A Fast SVM Library on GPUs and CPUs. J. Mach. Learn. Res. 19: 21:1-21:5 (2018) - [j105]Xuntao Cheng, Bingsheng He, Mian Lu, Chiew Tong Lau:
Many-core needs fine-grained scheduling: A case study of query processing on Intel Xeon Phi processors. J. Parallel Distributed Comput. 120: 395-404 (2018) - [j104]Hai Jin, Bo Liu, Wenbin Jiang, Yang Ma, Xuanhua Shi, Bingsheng He, Shaofeng Zhao:
Layer-Centric Memory Reuse and Data Migration for Extreme-Scale Deep Learning on Many-Core Architectures. ACM Trans. Archit. Code Optim. 15(3): 37:1-37:26 (2018) - [j103]Zhaojie Niu, Bingsheng He, Fangming Liu:
JouleMR: Towards Cost-Effective and Green-Aware Data Processing Frameworks. IEEE Trans. Big Data 4(2): 258-272 (2018) - [j102]Lei Wei, Chuan Heng Foh, Bingsheng He, Jianfei Cai:
Towards Efficient Resource Allocation for Heterogeneous Workloads in IaaS Clouds. IEEE Trans. Cloud Comput. 6(1): 264-275 (2018) - [j101]Xuanhua Shi, Xuan Luo, Junling Liang, Peng Zhao, Sheng Di, Bingsheng He, Hai Jin:
Frog: Asynchronous Graph Processing on GPU with Hybrid Coloring Model. IEEE Trans. Knowl. Data Eng. 30(1): 29-42 (2018) - [j100]Yu Zhang, Xiaofei Liao, Xiang Shi, Hai Jin, Bingsheng He:
Efficient Disk-Based Directed Graph Processing: A Strongly Connected Component Approach. IEEE Trans. Parallel Distributed Syst. 29(4): 830-842 (2018) - [j99]Shanjiang Tang, Zhaojie Niu, Bingsheng He, Bu-Sung Lee, Ce Yu:
Long-Term Multi-Resource Fairness for Pay-as-you Use Computing Systems. IEEE Trans. Parallel Distributed Syst. 29(5): 1147-1160 (2018) - [j98]Mochi Xue, Jiacheng Ma, Wentai Li, Kun Tian, Yaozu Dong, Jinyu Wu, Zhengwei Qi, Bingsheng He, Haibing Guan:
Scalable GPU Virtualization with Dynamic Sharing of Graphics Memory Space. IEEE Trans. Parallel Distributed Syst. 29(8): 1823-1836 (2018) - [j97]Shanjiang Tang, Bu-Sung Lee, Bingsheng He:
Fair Resource Allocation for Data-Intensive Computing in the Cloud. IEEE Trans. Serv. Comput. 11(1): 20-33 (2018) - [c120]Pengcheng Yao, Long Zheng, Xiaofei Liao, Hai Jin, Bingsheng He:
An efficient graph accelerator with parallel data conflict management. PACT 2018: 8:1-8:12 - [c119]Long Zheng, Xiaofei Liao, Hai Jin, Bingsheng He, Jingling Xue, Haikun Liu:
Towards concurrency race debugging: an integrated approach for constraint solving and dynamic slicing. PACT 2018: 26:1-26:13 - [c118]Jiashuai Shi, Zeyi Wen, Bingsheng He, Jian Chen:
Efficient Support Vector Machine Training Algorithm on GPUs. AAAI 2018: 8157-8158 - [c117]Dawen Xu, Kaijie Tu, Ying Wang, Cheng Liu, Bingsheng He, Huawei Li:
FCN-engine: accelerating deconvolutional layers in classic CNN processors. ICCAD 2018: 22 - [c116]Ze-ke Wang, Kai Zhang, Haihang Zhou, Xue Liu, Bingsheng He:
Hebe: An Order-Oblivious and High-Performance Execution Scheme for Conjunctive Predicates. ICDE 2018: 1260-1263 - [c115]Zeyi Wen, Xingyang Liu, Hongjian Cao, Bingsheng He:
RTSI: An Index Structure for Multi-Modal Real-Time Search on Live Audio Streaming Services. ICDE 2018: 1495-1506 - [c114]Johns Paul, Bingsheng He, Chiew Tong Lau:
Query Processing on OpenCL-Based FPGAs: Challenges and Opportunities. ICPADS 2018: 937-945 - [c113]Amelie Chi Zhou, Tien-Dat Phan, Shadi Ibrahim, Bingsheng He:
Energy-Efficient Speculative Execution using Advanced Reservation for Heterogeneous Clusters. ICPP 2018: 8:1-8:10 - [c112]Hao Fu, Shanjiang Tang, Bingsheng He, Ce Yu, Jizhou Sun:
GLP4NN: A Convergence-invariant and Network-agnostic Light-weight Parallelization Framework for Deep Neural Networks on Modern GPUs. ICPP 2018: 33:1-33:10 - [c111]Zeyi Wen, Bingsheng He, Ramamohanarao Kotagiri, Shengliang Lu, Jiashuai Shi:
Efficient Gradient Boosted Decision Tree Training on GPUs. IPDPS 2018: 234-243 - [c110]Kai Zhang, Bingsheng He, Jiayu Hu, Ze-ke Wang, Bei Hua, Jiayi Meng, Lishan Yang:
G-NET: Effective GPU Sharing in NFV Systems. NSDI 2018: 187-200 - [c109]Xiongchao Tang, Jidong Zhai, Xuehai Qian, Bingsheng He, Wei Xue, Wenguang Chen:
vSensor: leveraging fixed-workload snippets of programs for performance variance detection. PPoPP 2018: 124-136 - [c108]Yu Zhang, Xiaofei Liao, Hai Jin, Lin Gu, Ligang He, Bingsheng He, Haikun Liu:
CGraph: A Correlations-aware Approach for Efficient Concurrent Iterative Graph Processing. USENIX ATC 2018: 441-452 - [c107]Jiacheng Ma, Xiao Zheng, Yaozu Dong, Wentai Li, Zhengwei Qi, Bingsheng He, Haibing Guan:
gMig: Efficient GPU Live Migration Optimized by Software Dirty Page for Full Virtualization. VEE 2018: 31-44 - [i11]Shanjiang Tang, Bingsheng He, Ce Yu, Yusen Li, Kun Li:
A Survey on Spark Ecosystem for Big Data Processing. CoRR abs/1811.08834 (2018) - [i10]Peter A. Boncz, Goetz Graefe, Bingsheng He, Kai-Uwe Sattler:
Database Architectures for Modern Hardware (Dagstuhl Seminar 18251). Dagstuhl Reports 8(6): 63-76 (2018) - 2017
- [j96]Bingsheng He, Feng Ma, Xiaoming Yuan:
An Algorithmic Framework of Generalized Primal-Dual Hybrid Gradient Methods for Saddle Point Problems. J. Math. Imaging Vis. 58(2): 279-293 (2017) - [j95]Caihua Chen, Xiaoling Fu, Bingsheng He, Xiaoming Yuan:
On the Iteration Complexity of Some Projection Methods for Monotone Linear Variational Inequalities. J. Optim. Theory Appl. 172(3): 914-928 (2017) - [j94]Bingsheng He, Min Tao, Xiaoming Yuan:
Convergence Rate Analysis for the Alternating Direction Method of Multipliers with a Substitution Procedure for Separable Convex Programming. Math. Oper. Res. 42(3): 662-691 (2017) - [j93]Mo Sha, Yuchen Li, Bingsheng He, Kian-Lee Tan:
Accelerating Dynamic Graph Analytics on GPUs. Proc. VLDB Endow. 11(1): 107-120 (2017) - [j92]Yifan Gong, Bingsheng He, Dan Li:
Network Performance Aware Optimizations on IaaS Clouds. IEEE Trans. Computers 66(4): 672-687 (2017) - [j91]Tao Luo, Hao Liang, Wei Zhang, Bingsheng He, Douglas L. Maskell:
A Hybrid Logic Block Architecture in FPGA for Holistic Efficiency. IEEE Trans. Circuits Syst. II Express Briefs 64-II(1): 71-75 (2017) - [j90]Lei Wei, Jianfei Cai, Chuan Heng Foh, Bingsheng He:
QoS-Aware Resource Allocation for Video Transcoding in Clouds. IEEE Trans. Circuits Syst. Video Technol. 27(1): 49-61 (2017) - [j89]Lu Zhang, Xueyan Tang, Bingsheng He:
Analysis of Minimum Interaction Time for Continuous Distributed Interactive Computing. IEEE Trans. Parallel Distributed Syst. 28(2): 401-415 (2017) - [j88]Amelie Chi Zhou, Bingsheng He, Xuntao Cheng, Chiew Tong Lau:
A Declarative Optimization Engine for Resource Provisioning of Scientific Workflows in Geo-Distributed Clouds. IEEE Trans. Parallel Distributed Syst. 28(3): 647-661 (2017) - [j87]Feng Zhang, Jidong Zhai, Bingsheng He, Shuhao Zhang, Wenguang Chen:
Understanding Co-Running Behaviors on Integrated CPU/GPU Architectures. IEEE Trans. Parallel Distributed Syst. 28(3): 905-918 (2017) - [j86]Yinliang Yue, Bingsheng He, Yuzhe Li, Weiping Wang:
Building an Efficient Put-Intensive Key-Value Store with Skip-Tree. IEEE Trans. Parallel Distributed Syst. 28(4): 961-973 (2017) - [j85]Yingnan Cui, Wei Zhang, Bingsheng He:
A Variation-Aware Adaptive Fuzzy Control System for Thermal Management of Microprocessors. IEEE Trans. Very Large Scale Integr. Syst. 25(2): 683-695 (2017) - [j84]Ze-ke Wang, Johns Paul, Bingsheng He, Wei Zhang:
Multikernel Data Partitioning With Channel on OpenCL-Based FPGAs. IEEE Trans. Very Large Scale Integr. Syst. 25(6): 1906-1918 (2017) - [j83]Kai Zhang, Kaibo Wang, Yuan Yuan, Lei Guo, Rubao Li, Xiaodong Zhang, Bingsheng He, Jiayu Hu, Bei Hua:
A distributed in-memory key-value store system on heterogeneous CPU-GPU cluster. VLDB J. 26(5): 729-750 (2017) - [c106]Feng Zhang, Bo Wu, Jidong Zhai, Bingsheng He, Wenguang Chen:
FinePar: irregularity-aware fine-grained workload partitioning on integrated architectures. CGO 2017: 27-38 - [c105]Xuntao Cheng, Bingsheng He, Xiaoli Du, Chiew Tong Lau:
A Study of Main-Memory Hash Joins on Many-core Processor: A Case with Intel Knights Landing Architecture. CIKM 2017: 657-666 - [c104]Fubing Mao, Wei Zhang, Bingsheng He, SiewKei Lam:
Dynamic Module Partitioning for Library Based Placement on Heterogeneous FPGAs. FCCM 2017: 194 - [c103]Fubing Mao, Wei Zhang, Bingsheng He, SiewKei Lam:
Dynamic Partitioning for Library based Placement on Heterogeneous FPGAs (Abstract Only). FPGA 2017: 296 - [c102]Tao Luo, Bingsheng He, Wei Zhang, Douglas L. Maskell:
A novel two-stage modular multiplier based on racetrack memory for asymmetric cryptography. ICCAD 2017: 276-282 - [c101]Jieru Zhao, Liang Feng, Sharad Sinha, Wei Zhang, Yun Liang, Bingsheng He:
COMBA: A comprehensive model-based analysis framework for high level synthesis of real applications. ICCAD 2017: 430-437 - [c100]Amelie Chi Zhou, Shadi Ibrahim, Bingsheng He:
On Achieving Efficient Data Transfer for Graph Processing in Geo-Distributed Datacenters. ICDCS 2017: 1397-1407 - [c99]Shuhao Zhang, Bingsheng He, Daniel Dahlmeier, Amelie Chi Zhou, Thomas Heinze:
Revisiting the Design of Data Stream Processing Systems on Multi-Core Processors. ICDE 2017: 659-670 - [c98]Kai Zhang, Jiayu Hu, Bingsheng He, Bei Hua:
DIDO: Dynamic Pipelines for In-Memory Key-Value Stores on Coupled CPU-GPU Architectures. ICDE 2017: 671-682 - [c97]Shuhao Zhang, Hoang Tam Vo, Daniel Dahlmeier, Bingsheng He:
Multi-Query Optimization for Complex Event Processing in SAP ESP. ICDE 2017: 1213-1224 - [c96]Zujian Weng, Qi Guo, Chunkai Wang, Xiaofeng Meng, Bingsheng He:
AdaStorm: Resource Efficient Storm with Adaptive Configuration. ICDE 2017: 1363-1364 - [c95]Bingsheng He:
Data Management Systems on Future Hardware: Challenges and Opportunities. ICDE 2017: 1609 - [c94]Zhaojie Niu, Bingsheng He, Amelie Chi Zhou, Chiew Tong Lau:
Multi-objective Optimizations in Geo-Distributed Data Analytics Systems. ICPADS 2017: 519-528 - [c93]Haikun Liu, Yujie Chen, Xiaofei Liao, Hai Jin, Bingsheng He, Long Zheng, Rentong Guo:
Hardware/software cooperative caching for hybrid DRAM/NVM memory architectures. ICS 2017: 26:1-26:10 - [c92]Fubing Mao, Wei Zhang, Bingsheng He, SiewKei Lam:
Dynamic module partitioning for library based placement on heterogeneous FPGAs. RTCSA 2017: 1-6 - [c91]Amelie Chi Zhou, Yifan Gong, Bingsheng He, Jidong Zhai:
Efficient process mapping in geo-distributed cloud data centers. SC 2017: 16 - [i9]Mo Sha, Yuchen Li, Bingsheng He, Kian-Lee Tan:
Technical Report: Accelerating Dynamic Graph Analytics on GPUs. CoRR abs/1709.05061 (2017) - 2016
- [j82]Yingnan Cui, Wei Zhang, Vivek Chaturvedi, Weichen Liu, Bingsheng He:
Thermal-Aware Task Scheduling for 3D-Network-on-Chip: A Bottom to Top Scheme. J. Circuits Syst. Comput. 25(1): 1640003:1-1640003:20 (2016) - [j81]Bingsheng He, Hong-Kun Xu, Xiaoming Yuan:
On the Proximal Jacobian Decomposition of ALM for Multiple-Block Separable Convex Minimization Problems and Its Relationship to ADMM. J. Sci. Comput. 66(3): 1204-1217 (2016) - [j80]Caihua Chen, Bingsheng He, Yinyu Ye, Xiaoming Yuan:
The direct extension of ADMM for multi-block convex minimization problems is not necessarily convergent. Math. Program. 155(1-2): 57-79 (2016) - [j79]Bingsheng He, Feng Ma, Xiaoming Yuan:
Convergence Study on the Symmetric Version of ADMM with Larger Step Sizes. SIAM J. Imaging Sci. 9(3): 1467-1501 (2016) - [j78]Yanchao Lu, Donghong Wu, Bingsheng He, Xueyan Tang, Jianliang Xu, Minyi Guo:
Rank-Aware Dynamic Migrations and Adaptive Demotions for DRAM Power Management. IEEE Trans. Computers 65(1): 187-202 (2016) - [j77]Yinliang Yue, Bingsheng He, Lei Tian, Hong Jiang, Fang Wang, Dan Feng:
Rotated Logging Storage Architectures for Data Centers: Models and Optimizations. IEEE Trans. Computers 65(1): 203-215 (2016) - [j76]Jun Yang, Qingsong Wei, Chundong Wang, Cheng Chen, Khai Leong Yong, Bingsheng He:
NV-Tree: A Consistent and Workload-Adaptive Tree Structure for Non-Volatile Memory. IEEE Trans. Computers 65(7): 2169-2183 (2016) - [j75]Amelie Chi Zhou, Bingsheng He, Cheng Liu:
Monetary Cost Optimizations for Hosting Workflow-as-a-Service in IaaS Clouds. IEEE Trans. Cloud Comput. 4(1): 34-48 (2016) - [j74]Fubing Mao, Yi-Chung Chen, Wei Zhang, Hai (Helen) Li, Bingsheng He:
Library-Based Placement and Routing in FPGAs with Support of Partial Reconfiguration. ACM Trans. Design Autom. Electr. Syst. 21(4): 71:1-71:26 (2016) - [j73]Xiaofei Liao, Long Zheng, Bingsheng He, Song Wu, Hai Jin:
A Performance Debugging Framework for Unnecessary Lock Contentions with Record/Replay Techniques. IEEE Trans. Parallel Distributed Syst. 27(7): 1889-1901 (2016) - [j72]Haikun Liu, Bingsheng He:
F2C: Enabling Fair and Fine-Grained Resource Sharing in Multi-Tenant IaaS Clouds. IEEE Trans. Parallel Distributed Syst. 27(9): 2589-2602 (2016) - [j71]Ze-ke Wang, Shuhao Zhang, Bingsheng He, Wei Zhang:
Melia: A MapReduce Framework on OpenCL-Based FPGAs. IEEE Trans. Parallel Distributed Syst. 27(12): 3547-3560 (2016) - [j70]Shanjiang Tang, Bu-Sung Lee, Bingsheng He:
Dynamic Job Ordering and Slot Configurations for MapReduce Workloads. IEEE Trans. Serv. Comput. 9(1): 4-17 (2016) - [j69]Yingnan Cui, Wei Zhang, Vivek Chaturvedi, Bingsheng He:
Decentralized Thermal-Aware Task Scheduling for Large-Scale Many-Core Systems. IEEE Trans. Very Large Scale Integr. Syst. 24(6): 2075-2088 (2016) - [c90]Tao Luo, Wei Zhang, Bingsheng He, Douglas L. Maskell:
A racetrack memory based in-memory booth multiplier for cryptography application. ASP-DAC 2016: 286-291 - [c89]Yingnan Cui, Wei Zhang, Bingsheng He:
A discrete thermal controller for chip-multiprocessors. DATE 2016: 67-72 - [c88]Ze-ke Wang, Hui Yan Cheah, Johns Paul, Bingsheng He, Wei Zhang:
Accelerating Database Query Processing on OpenCL-based FPGAs (Abstract Only). FPGA 2016: 274 - [c87]Ze-ke Wang, Johns Paul, Hui Yan Cheah, Bingsheng He, Wei Zhang:
Relational query processing on OpenCL-based FPGAs. FPL 2016: 1-10 - [c86]Fubing Mao, Wei Zhang, Bo Feng, Bingsheng He, Yuchun Ma:
Modular Placement for Interposer based Multi-FPGA Systems. ACM Great Lakes Symposium on VLSI 2016: 93-98 - [c85]Ze-ke Wang, Bingsheng He, Wei Zhang, Shunning Jiang:
A performance analysis framework for optimizing OpenCL applications on FPGAs. HPCA 2016: 114-125 - [c84]Zhaojie Niu, Bingsheng He, Fangming Liu:
Not All Joules are Equal: Towards Energy-Efficient and Green-Aware Data Processing Frameworks. IC2E 2016: 2-11 - [c83]Zhaojie Niu, Bingsheng He:
A Study of Big Data Computing Platforms: Fairness and Energy Consumption. IC2E Workshops 2016: 207-209 - [c82]Yun Peng, Byron Choi, Bingsheng He, Shuigeng Zhou, Ruzhi Xu, Xiaohui Yu:
VColor: A practical vertex-cut based approach for coloring large graphs. ICDE 2016: 97-108 - [c81]Shanjiang Tang, Bingsheng He, Shuhao Zhang, Zhaojie Niu:
Elastic multi-resource fairness: balancing fairness and efficiency in coupled CPU-GPU architectures. SC 2016: 875-886 - [c80]Shuang Chen, Shunning Jiang, Bingsheng He, Xueyan Tang:
A Study of Sorting Algorithms on Approximate Memory. SIGMOD Conference 2016: 647-662 - [c79]Johns Paul, Jiong He, Bingsheng He:
GPL: A GPU-based Pipelined Query Processing Engine. SIGMOD Conference 2016: 1935-1950 - [c78]Xuntao Cheng, Bingsheng He, Mian Lu, Chiew Tong Lau, Huynh Phung Huynh, Rick Siow Mong Goh:
Efficient Query Processing on Many-core Architectures: A Case Study with Intel Xeon Phi Processor. SIGMOD Conference 2016: 2081-2084 - [c77]Mochi Xue, Kun Tian, Yaozu Dong, Jiacheng Ma, Jiajun Wang, Zhengwei Qi, Bingsheng He, Haibing Guan:
gScale: Scaling up GPU Virtualization with Dynamic Sharing of Graphics Memory Space. USENIX ATC 2016: 579-590 - 2015
- [j68]Bingsheng He, Xiaoming Yuan:
On the convergence rate of Douglas-Rachford operator splitting method. Math. Program. 153(2): 715-722 (2015) - [j67]Ethan X. Fang, Bingsheng He, Han Liu, Xiaoming Yuan:
Generalized alternating direction method of multipliers: new theoretical insights and applications. Math. Program. Comput. 7(2): 149-187 (2015) - [j66]Bingsheng He, Xiaoming Yuan:
On non-ergodic convergence rate of Douglas-Rachford alternating direction method of multipliers. Numerische Mathematik 130(3): 567-577 (2015) - [j65]Saurabh Jha, Bingsheng He, Mian Lu, Xuntao Cheng, Huynh Phung Huynh:
Improving Main Memory Hash Joins on Intel Xeon Phi Processors: An Experimental Approach. Proc. VLDB Endow. 8(6): 642-653 (2015) - [j64]Bingsheng He, Liusheng Hou, Xiaoming Yuan:
On Full Jacobian Decomposition of the Augmented Lagrangian Method for Separable Convex Programming. SIAM J. Optim. 25(4): 2274-2312 (2015) - [j63]Yanchao Lu, Bingsheng He, Xueyan Tang, Minyi Guo:
Synergy of Dynamic Frequency Scaling and Demotion on DRAM Power Management: Models and Optimizations. IEEE Trans. Computers 64(8): 2367-2381 (2015) - [j62]Bharadwaj Veeravalli, Bingsheng He:
Guest Editors' Introduction: Special Issue on Economics and Market Mechanisms for Cloud Computing. IEEE Trans. Cloud Comput. 3(3): 245-246 (2015) - [j61]Shen Gao, Jianliang Xu, Theo Härder, Bingsheng He, Byron Choi, Haibo Hu:
PCMLogging: Optimizing Transaction Logging and Recovery Performance with PCM. IEEE Trans. Knowl. Data Eng. 27(12): 3332-3346 (2015) - [j60]Wan Du, Zikun Xing, Mo Li, Bingsheng He, Lloyd Hock Chye Chua, Haiyan Miao:
Sensor Placement and Measurement of Wind for Water Quality Studies in Urban Reservoirs. ACM Trans. Sens. Networks 11(3): 41:1-41:27 (2015) - [j59]Bingsheng He, Jeffrey Xu Yu, Amelie Chi Zhou:
Improving Update-Intensive Workloads on Flash Disks through Exploiting Multi-Chip Parallelism. IEEE Trans. Parallel Distributed Syst. 26(1): 152-162 (2015) - [j58]Haikun Liu, Bingsheng He:
VMbuddies: Coordinating Live Migration of Multi-Tier Applications in Cloud Environments. IEEE Trans. Parallel Distributed Syst. 26(4): 1192-1205 (2015) - [j57]Haikun Liu, Hai Jin, Xiaofei Liao, Wei Deng, Bingsheng He, Cheng-Zhong Xu:
Hotplug or Ballooning: A Comparative Study on Dynamic Memory Management Techniques for Virtual Machines. IEEE Trans. Parallel Distributed Syst. 26(5): 1350-1363 (2015) - [j56]Dan Li, Yirong Yu, Wu He, Kai Zheng, Bingsheng He:
Willow: Saving Data Center Network Energy for Network-Limited Flows. IEEE Trans. Parallel Distributed Syst. 26(9): 2610-2620 (2015) - [j55]Mian Lu, Yun Liang, Huynh Phung Huynh, Zhongliang Ong, Bingsheng He, Rick Siow Mong Goh:
MrPhi: An Optimized MapReduce Framework on Intel Xeon Phi Coprocessors. IEEE Trans. Parallel Distributed Syst. 26(11): 3066-3078 (2015) - [j54]Yifan Gong, Bingsheng He, Jianlong Zhong:
Network Performance Aware MPI Collective Communication Operations in the Cloud. IEEE Trans. Parallel Distributed Syst. 26(11): 3079-3089 (2015) - [j53]Ze-ke Wang, Xue Liu, Bingsheng He, Feng Yu:
A Combined SDC-SDF Architecture for Normal I/O Pipelined Radix-2 FFT. IEEE Trans. Very Large Scale Integr. Syst. 23(5): 973-977 (2015) - [c76]Long Zheng, Xiaofei Liao, Bingsheng He, Song Wu, Hai Jin:
On performance debugging of unnecessary lock contentions on multicore processors: a replay-based approach. CGO 2015: 56-67 - [c75]Zhaojie Niu, Shanjiang Tang, Bingsheng He:
Gemini: An Adaptive Performance-Fairness Scheduler for Data-Intensive Cluster Computing. CloudCom 2015: 66-73 - [c74]Xuntao Cheng, Bingsheng He, Chiew Tong Lau:
Energy-Efficient Query Processing on Embedded CPU-GPU Architectures. DaMoN 2015: 10:1-10:7 - [c73]Ha Nguyen Tran, Jung-Jae Kim, Bingsheng He:
Fast Subgraph Matching on Large Graphs using Graphics Processors. DASFAA (1) 2015: 299-315 - [c72]Jun Yang, Qingsong Wei, Cheng Chen, Chundong Wang, Khai Leong Yong, Bingsheng He:
NV-Tree: Reducing Consistency Cost for NVM-based Single Level Systems. FAST 2015: 167-181 - [c71]Ze-ke Wang, Bingsheng He, Wei Zhang:
Improving Data Partitioning Performance on OpenCL-Based FPGAs. FCCM 2015: 34 - [c70]Ze-ke Wang, Bingsheng He, Wei Zhang:
A study of data partitioning on OpenCL-based FPGAs. FPL 2015: 1-8 - [c69]Amelie Chi Zhou, Bingsheng He, Xuntao Cheng, Chiew Tong Lau:
A Declarative Optimization Engine for Resource Provisioning of Scientific Workflows in IaaS Clouds. HPDC 2015: 223-234 - [c68]Shen Gao, Bingsheng He, Jianliang Xu:
Real-Time In-Memory Checkpointing for Future Hybrid Memory Systems. ICS 2015: 263-272 - [c67]Feng Zhang, Jidong Zhai, Wenguang Chen, Bingsheng He, Shuhao Zhang:
To Co-run, or Not to Co-run: A Performance Study on Integrated Architectures. MASCOTS 2015: 89-92 - [c66]Hao Liang, Yi-Chung Chen, Tao Luo, Wei Zhang, Hai Li, Bingsheng He:
Hierarchical Library Based Power Estimator for Versatile FPGAs. MCSoC 2015: 25-32 - [c65]Xuanhua Shi, Junling Liang, Sheng Di, Bingsheng He, Hai Jin, Lu Lu, Zhixiang Wang, Xuan Luo, Jianlong Zhong:
Optimization of asynchronous graph processing on GPU with hybrid coloring model. PPoPP 2015: 271-272 - [c64]Yifan Gong, Bingsheng He, Amelie Chi Zhou:
Monetary cost optimizations for MPI-based HPC applications on Amazon clouds: checkpoints and replicated execution. SC 2015: 32:1-32:12 - 2014
- [j52]Xingju Cai, Guoyong Gu, Bingsheng He:
On the O(1/t) convergence rate of the projection and contraction methods for variational inequalities with Lipschitz continuous monotone operators. Comput. Optim. Appl. 57(2): 339-363 (2014) - [j51]Guoyong Gu, Bingsheng He, Xiaoming Yuan:
Customized proximal point algorithms for linearly constrained convex minimization and saddle-point problems: a unified approach. Comput. Optim. Appl. 59(1-2): 135-161 (2014) - [j50]Dong Huang, Bingsheng He, Chunyan Miao:
A Survey of Resource Management in Multi-Tier Web Applications. IEEE Commun. Surv. Tutorials 16(3): 1574-1590 (2014) - [j49]Guoyong Gu, Bingsheng He, Junfeng Yang:
Inexact Alternating-Direction-Based Contraction Methods for Separable Linearly Constrained Convex Optimization. J. Optim. Theory Appl. 163(1): 105-129 (2014) - [j48]Bingsheng He:
When Data Management Systems Meet Approximate Hardware: Challenges and Opportunities. Proc. VLDB Endow. 7(10): 877-880 (2014) - [j47]Jiong He, Shuhao Zhang, Bingsheng He:
In-Cache Query Co-Processing on Coupled CPU-GPU Architectures. Proc. VLDB Endow. 8(4): 329-340 (2014) - [j46]Bingsheng He, Yanfei You, Xiaoming Yuan:
On the Convergence of Primal-Dual Hybrid Gradient Algorithm. SIAM J. Imaging Sci. 7(4): 2526-2537 (2014) - [j45]Bingsheng He, Han Liu, Zhaoran Wang, Xiaoming Yuan:
A Strictly Contractive Peaceman-Rachford Splitting Method for Convex Programming. SIAM J. Optim. 24(3): 1011-1040 (2014) - [j44]Jianlong Zhong, Bingsheng He:
Medusa: A Parallel Graph Processing System on Graphics Processors. SIGMOD Rec. 43(2): 35-40 (2014) - [j43]Sai Tung On, Shen Gao, Bingsheng He, Ming Wu, Qiong Luo, Jianliang Xu:
FD-Buffer: A Cost-Based Adaptive Buffer Replacement Algorithm for FlashMemory Devices. IEEE Trans. Computers 63(9): 2288-2301 (2014) - [j42]Amelie Chi Zhou, Bingsheng He:
Transformation-Based Monetary CostOptimizations for Workflows in the Cloud. IEEE Trans. Cloud Comput. 2(1): 85-98 (2014) - [j41]Shanjiang Tang, Bu-Sung Lee, Bingsheng He:
DynamicMR: A Dynamic Slot Allocation Optimization Framework for MapReduce Clusters. IEEE Trans. Cloud Comput. 2(3): 333-347 (2014) - [j40]Jianlong Zhong, Bingsheng He:
Kernelet: High-Throughput GPU Kernel Executions with Dynamic Slicing and Scheduling. IEEE Trans. Parallel Distributed Syst. 25(6): 1522-1532 (2014) - [j39]Jianlong Zhong, Bingsheng He:
Medusa: Simplified Graph Processing on GPUs. IEEE Trans. Parallel Distributed Syst. 25(6): 1543-1552 (2014) - [c63]Shanjiang Tang, Bu-Sung Lee, Bingsheng He:
Towards Economic Fairness for Big Data Processing in Pay-as-You-Go Cloud Computing. CloudCom 2014: 638-643 - [c62]Amelie Chi Zhou, Bingsheng He:
Simplified Resource Provisioning for Workflows in IaaS Clouds. CloudCom 2014: 650-655 - [c61]Fubing Mao, Wei Zhang, Bingsheng He:
Towards automatic partial reconfiguration in FPGAs. FPT 2014: 286-287 - [c60]Lei Wei, Bingsheng He, Chuan Heng Foh:
Towards multi-resource physical machine provisioning for IaaS clouds. ICC 2014: 3469-3472 - [c59]Tuo He, Maode Ma, Wenping Ma, Bingsheng He:
A novel authenticated multi-party key agreement for private cloud. ICC 2014: 3776-3781 - [c58]Shanjiang Tang, Bu-Sung Lee, Bingsheng He, Haikun Liu:
Long-term resource fairness: towards economic fairness on pay-as-you-use computing systems. ICS 2014: 251-260 - [c57]Zigang Zhang, Yinliang Yue, Bingsheng He, Jin Xiong, Mingyu Chen, Lixin Zhang, Ninghui Sun:
Pipelined Compaction for the LSM-Tree. IPDPS 2014: 777-786 - [c56]Wan Du, Zikun Xing, Mo Li, Bingsheng He, Lloyd Hock Chye Chua, Haiyan Miao:
Optimal sensor placement and measurement of wind for water quality studies in urban reservoirs. IPSN 2014: 167-178 - [c55]Yingnan Cui, Wei Zhang, Vivek Chaturvedi, Weichen Liu, Bingsheng He:
Thermal-aware task scheduling for 3D-network-on-chip: A Bottom-to-Top scheme. ISIC 2014: 224-227 - [c54]Haikun Liu, Bingsheng He:
Reciprocal Resource Fairness: Towards Cooperative Multiple-Resource Fair Sharing in IaaS Clouds. SC 2014: 970-981 - [c53]Yifan Gong, Bingsheng He, Dan Li:
Finding Constant from Change: Revisiting Network Performance Aware Optimizations on IaaS Clouds. SC 2014: 982-993 - [c52]Wan Du, Mo Li, Zikun Xing, Bingsheng He, Lloyd Hock Chye Chua, Zhenjiang Li, Yuanqiang Zheng, Pengfei Zhou:
Demo Abstract: Wind measurements for water quality studies in urban reservoirs. SECON 2014: 161-163 - [p2]Rishan Chen, Xuetian Weng, Bingsheng He, Byron Choi, Mao Yang:
Network Performance Aware Graph Partitioning for Large Graph Processing Systems in the Cloud. Large Scale and Big Data 2014: 229-254 - [p1]Baoxue Zhao, Jianlong Zhong, Bingsheng He, Qiong Luo, Wenbin Fang, Naga K. Govindaraju:
GPU-Accelerated Cloud Computing for Data-Intensive Applications. Cloud Computing for Data-Intensive Applications 2014: 105-129 - [i8]Amelie Chi Zhou, Bingsheng He, Shadi Ibrahim:
A Taxonomy and Survey on eScience as a Service in the Cloud. CoRR abs/1407.7360 (2014) - [i7]Yanchao Lu, Donghong Wu, Bingsheng He, Xueyan Tang, Jianliang Xu, Minyi Guo:
Rank-Aware Dynamic Migrations and Adaptive Demotions for DRAM Power Management. CoRR abs/1409.5567 (2014) - [i6]Long Zheng, Xiaofei Liao, Bingsheng He, Song Wu, Hai Jin:
On Performance Debugging of Unnecessary Lock Contentions on Multicore Processors: A Replay-based Approach. CoRR abs/1412.4480 (2014) - 2013
- [j38]Bingsheng He, Xiaoming Yuan, Wenxing Zhang:
A customized proximal point algorithm for convex minimization with linear constraints. Comput. Optim. Appl. 56(3): 559-572 (2013) - [j37]Bingsheng He, Xiaoming Yuan:
Forward-backward-based descent methods for composite variational inequalities. Optim. Methods Softw. 28(4): 706-724 (2013) - [j36]Shadi Ibrahim, Hai Jin, Lu Lu, Bingsheng He, Gabriel Antoniu, Song Wu:
Handling partitioning skew in MapReduce using LEEN. Peer-to-Peer Netw. Appl. 6(4): 409-424 (2013) - [j35]Jiong He, Mian Lu, Bingsheng He:
Revisiting Co-Processing for Hash Joins on the Coupled CPU-GPU Architecture. Proc. VLDB Endow. 6(10): 889-900 (2013) - [j34]Jianlong Zhong, Bingsheng He:
Parallel Graph Processing on Graphics Processors Made Easy. Proc. VLDB Endow. 6(12): 1270-1273 (2013) - [j33]Shuhao Zhang, Jiong He, Bingsheng He, Mian Lu:
OmniDB: Towards Portable and Efficient Query Processing on Parallel CPU/GPU Architectures. Proc. VLDB Endow. 6(12): 1374-1377 (2013) - [c51]Mian Lu, Lei Zhang, Huynh Phung Huynh, Zhongliang Ong, Yun Liang, Bingsheng He, Rick Siow Mong Goh, Richard Huynh:
Optimizing the MapReduce framework on Intel Xeon Phi coprocessor. IEEE BigData 2013: 125-130 - [c50]Cheng Chen, Bingsheng He, Xueyan Tang, Changbing Chen, Yubao Liu:
Green Databases Through Integration of Renewable Energy. CIDR 2013 - [c49]Jianlong Zhong, Bingsheng He:
Towards GPU-Accelerated Large-Scale Graph Processing in the Cloud. CloudCom (1) 2013: 9-16 - [c48]Shanjiang Tang, Bu-Sung Lee, Bingsheng He:
Dynamic slot allocation technique for MapReduce clusters. CLUSTER 2013: 1-8 - [c47]Jiangming Jin, Stephen John Turner, Bu-Sung Lee, Jianlong Zhong, Bingsheng He:
Simulation of Information Propagation over Complex Networks: Performance Studies on Multi-GPU. DS-RT 2013: 179-188 - [c46]Shanjiang Tang, Bu-Sung Lee, Bingsheng He:
MROrder: Flexible Job Ordering Optimization for Online MapReduce Workloads. Euro-Par 2013: 291-304 - [c45]Liyan Song, Yun Peng, Byron Choi, Jianliang Xu, Bingsheng He:
Spectral Decomposition for Optimal Graph Index Prediction. PAKDD (1) 2013: 187-200 - [c44]Lu Zhang, Xueyan Tang, Bingsheng He:
Brief announcement: on minimum interaction time for continuous distributed interactive computing. PODC 2013: 122-124 - [c43]Changbing Chen, Bingsheng He:
A Framework for Analyzing Monetary Cost of Database Systems in the Cloud. WAIM 2013: 118-129 - [c42]Jiangming Jin, Stephen John Turner, Bu-Sung Lee, Jianlong Zhong, Bingsheng He:
Simulation studies of viral advertisement diffusion on multi-GPU. WSC 2013: 1592-1603 - [i5]Jianlong Zhong, Bingsheng He:
Kernelet: High-Throughput GPU Kernel Executions with Dynamic Slicing and Scheduling. CoRR abs/1303.5164 (2013) - [i4]Amelie Chi Zhou, Bingsheng He, Cheng Liu:
Probabilistic Scheduling of Scientific Workflows in Dynamic Cloud Environments. CoRR abs/1306.6410 (2013) - [i3]Jiong He, Mian Lu, Bingsheng He:
Revisiting Co-Processing for Hash Joins on the Coupled CPU-GPU Architecture. CoRR abs/1307.1955 (2013) - [i2]Mian Lu, Lei Zhang, Huynh Phung Huynh, Zhongliang Ong, Yun Liang, Bingsheng He, Rick Siow Mong Goh, Richard Huynh:
Optimizing the MapReduce Framework on Intel Xeon Phi Coprocessor. CoRR abs/1309.0215 (2013) - 2012
- [j32]Bingsheng He, Li-Zhi Liao, Xiang Wang:
Proximal-like contraction methods for monotone variational inequalities in a unified framework I: Effective quadruplet and primary methods. Comput. Optim. Appl. 51(2): 649-679 (2012) - [j31]Bingsheng He, Li-Zhi Liao, Xiang Wang:
Proximal-like contraction methods for monotone variational inequalities in a unified framework II: general methods and numerical experiments. Comput. Optim. Appl. 51(2): 681-708 (2012) - [j30]Bingsheng He, Xiaoming Yuan:
An Accelerated Inexact Proximal Point Algorithm for Convex Minimization. J. Optim. Theory Appl. 154(2): 536-548 (2012) - [j29]Bingsheng He, Xiaoming Yuan:
Convergence Analysis of Primal-Dual Algorithms for a Saddle-Point Problem: From Contraction Perspective. SIAM J. Imaging Sci. 5(1): 119-149 (2012) - [j28]Bingsheng He, Min Tao, Xiaoming Yuan:
Alternating Direction Method with Gaussian Back Substitution for Separable Convex Programming. SIAM J. Optim. 22(2): 313-340 (2012) - [j27]Bingsheng He, Xiaoming Yuan:
On the O(1/n) Convergence Rate of the Douglas-Rachford Alternating Direction Method. SIAM J. Numer. Anal. 50(2): 700-709 (2012) - [j26]Sai Tung On, Jianliang Xu, Byron Choi, Haibo Hu, Bingsheng He:
Flag Commit: Supporting Efficient Transaction Recovery in Flash-Based DBMSs. IEEE Trans. Knowl. Data Eng. 24(9): 1624-1639 (2012) - [c41]Yu Shyang Tan, Bu-Sung Lee, Bingsheng He, Roy H. Campbell:
A Map-Reduce Based Framework for Heterogeneous Processing Element Cluster Environments. CCGRID 2012: 57-64 - [c40]Shadi Ibrahim, Hai Jin, Lu Lu, Bingsheng He, Gabriel Antoniu, Song Wu:
Maestro: Replica-Aware Map Scheduling for MapReduce. CCGRID 2012: 435-442 - [c39]Rishan Chen, Mao Yang, Xuetian Weng, Byron Choi, Bingsheng He, Xiaoming Li:
Improving large graph processing on partitioned graphs in the cloud. SoCC 2012: 3 - [c38]Changbing Chen, Bingsheng He, Xueyan Tang:
Green-aware workload scheduling in geographically distributed data centers. CloudCom 2012: 82-89 - [c37]Bingsheng He, Huynh Phung Huynh, Rick Siow Mong Goh:
GPGPU for Real-Time Data Analytics. ICPADS 2012: 945-946 - [c36]Shanjiang Tang, Bu-Sung Lee, Bingsheng He:
Speedup for Multi-Level Parallel Computing. IPDPS Workshops 2012: 537-546 - [c35]Jianlong Zhong, Bingsheng He:
An overview of Medusa: simplified graph processing on GPUs. PPoPP 2012: 283-284 - [c34]Yifan Gong, Bingsheng He, Jianlong Zhong:
An overview of CMPI: network performance aware MPI in the cloud. PPoPP 2012: 297-298 - [c33]Donghong Wu, Bingsheng He, Xueyan Tang, Jianliang Xu, Minyi Guo:
RAMZzz: rank-aware dram power management with dynamic migrations and demotions. SC 2012: 32 - [c32]Jiangming Jin, Stephen John Turner, Bu-Sung Lee, Jianlong Zhong, Bingsheng He:
HPC Simulations of Information Propagation Over Social Networks. ICCS 2012: 292-301 - 2011
- [j25]Bingsheng He, Jeffrey Xu Yu:
High-throughput transaction executions on graphics processors. Proc. VLDB Endow. 4(5): 314-325 (2011) - [j24]Bingsheng He, Minghua Xu, Xiaoming Yuan:
Solving Large-Scale Least Squares Semidefinite Programming by Alternating Direction Methods. SIAM J. Matrix Anal. Appl. 32(1): 136-152 (2011) - [j23]Wenbin Fang, Bingsheng He, Qiong Luo, Naga K. Govindaraju:
Mars: Accelerating MapReduce with Graphics Processors. IEEE Trans. Parallel Distributed Syst. 22(4): 608-620 (2011) - [c31]Shadi Ibrahim, Bingsheng He, Hai Jin:
Towards Pay-As-You-Consume Cloud Computing. IEEE SCC 2011: 370-377 - [c30]Shen Gao, Jianliang Xu, Bingsheng He, Byron Choi, Haibo Hu:
PCMLogging: reducing transaction logging overhead with PCM. CIKM 2011: 2401-2404 - [c29]Shadi Ibrahim, Hai Jin, Lu Lu, Bingsheng He, Song Wu:
Adaptive Disk I/O Scheduling for MapReduce in Virtualized Environment. ICPP 2011: 335-344 - [c28]Yanfei Lv, Bin Cui, Bingsheng He, Xuexuan Chen:
Operation-aware buffer management in flash-based systems. SIGMOD Conference 2011: 13-24 - [c27]Jianlong Zhong, Bingsheng He:
GViewer: GPU-Accelerated Graph Visualization and Mining. SocInfo 2011: 304-307 - [c26]Jianlong Zhong, Bingsheng He:
GPU-Assisted Buffer Management. ICCS 2011: 362-371 - [i1]Bingsheng He, Jeffrey Xu Yu:
High-Throughput Transaction Executions on Graphics Processors. CoRR abs/1103.3105 (2011) - 2010
- [j22]Bingsheng He, Xiaozheng He, Henry X. Liu:
Solving a class of constrained 'black-box' inverse variational inequalities. Eur. J. Oper. Res. 204(3): 391-401 (2010) - [j21]Xiang Wang, Bingsheng He, Li-Zhi Liao:
Steplengths in the extragradient type methods. J. Comput. Appl. Math. 233(11): 2925-2939 (2010) - [j20]Wenbin Fang, Bingsheng He, Qiong Luo:
Database Compression on Graphics Processors. Proc. VLDB Endow. 3(1): 670-680 (2010) - [j19]Yinan Li, Bingsheng He, Jun Yang, Qiong Luo, Ke Yi:
Tree Indexing on Solid State Drives. Proc. VLDB Endow. 3(1): 1195-1206 (2010) - [c25]Sai Tung On, Yinan Li, Bingsheng He, Ming Wu, Qiong Luo, Jianliang Xu:
FD-buffer: a buffer manager for databases on flash disks. CIKM 2010: 1297-1300 - [c24]Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, Bing Su, Wei Lin, Lidong Zhou:
Comet: batched stream processing for data intensive distributed computing. SoCC 2010: 63-74 - [c23]Shadi Ibrahim, Hai Jin, Lu Lu, Song Wu, Bingsheng He, Li Qi:
LEEN: Locality/Fairness-Aware Key Partitioning for MapReduce in the Cloud. CloudCom 2010: 17-24 - [c22]Mian Lu, Bingsheng He, Qiong Luo:
Supporting extended precision on graphics processors. DaMoN 2010: 19-26 - [c21]Hongyi Wang, Qingfeng Jing, Rishan Chen, Bingsheng He, Zhengping Qian, Lidong Zhou:
Distributed Systems Meet Economics: Pricing in the Cloud. HotCloud 2010 - [c20]Rishan Chen, Xuetian Weng, Bingsheng He, Mao Yang:
Large graph processing in the cloud. SIGMOD Conference 2010: 1123-1126
2000 – 2009
- 2009
- [j18]Bingsheng He:
Parallel splitting augmented Lagrangian methods for monotone structured variational inequalities. Comput. Optim. Appl. 42(2): 195-212 (2009) - [j17]Bingsheng He, Xiaozheng He, Henry X. Liu, Ting Wu:
Self-adaptive projection method for co-coercive variational inequalities. Eur. J. Oper. Res. 196(1): 43-48 (2009) - [j16]Bingsheng He, Mian Lu, Ke Yang, Rui Fang, Naga K. Govindaraju, Qiong Luo, Pedro V. Sander:
Relational query coprocessing on graphics processors. ACM Trans. Database Syst. 34(4): 21:1-21:39 (2009) - [c19]Wenbin Fang, Mian Lu, Xiangye Xiao, Bingsheng He, Qiong Luo:
Frequent itemset mining on graphics processors. DaMoN 2009: 34-42 - [c18]Linhong Zhu, Byron Choi, Bingsheng He, Jeffrey Xu Yu, Wee Keong Ng:
A Uniform Framework for Ad-Hoc Indexes to Answer Reachability Queries on Large Graphs. DASFAA 2009: 138-152 - [c17]Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, Wei Lin, Bing Su, Hongyi Wang, Lidong Zhou:
Wave Computing in the Cloud. HotOS 2009 - [c16]Yinan Li, Bingsheng He, Qiong Luo, Ke Yi:
Tree Indexing on Flash Disks. ICDE 2009: 1303-1306 - [c15]Ke Yang, Bingsheng He, Qiong Luo, Pedro V. Sander, Jiaoying Shi:
Stack-based parallel recursion on graphics processors. PPoPP 2009: 299-300 - 2008
- [j15]Bingsheng He, Qiong Luo:
Cache-oblivious databases: Limitations and opportunities. ACM Trans. Database Syst. 33(2): 8:1-8:42 (2008) - [c14]Bingsheng He, Wenbin Fang, Qiong Luo, Naga K. Govindaraju, Tuyong Wang:
Mars: a MapReduce framework on graphics processors. PACT 2008: 260-269 - [c13]Bingsheng He, Ke Yang, Rui Fang, Mian Lu, Naga K. Govindaraju, Qiong Luo, Pedro V. Sander:
Relational joins on graphics processors. SIGMOD Conference 2008: 511-524 - 2007
- [j14]Min Li, H. Shao, Bingsheng He:
An inexact logarithmic-quadratic proximal augmented Lagrangian method for a class of constrained variational inequalities. Math. Methods Oper. Res. 66(2): 183-201 (2007) - [j13]Bingsheng He, Qiong Luo, Byron Choi:
Adaptive Index Utilization in Memory-Resident Structural Joins. IEEE Trans. Knowl. Data Eng. 19(6): 772-788 (2007) - [c12]Bingsheng He, Qiong Luo:
Cache-Oblivious Query Processing. CIDR 2007: 44-55 - [c11]Bingsheng He, Yinan Li, Qiong Luo, Dongqing Yang:
A general framework for improving query processing performance on multi-level memory hierarchies. DaMoN 2007: 3 - [c10]Ke Yang, Bingsheng He, Rui Fang, Mian Lu, Naga K. Govindaraju, Qiong Luo, Pedro V. Sander, Jiaoying Shi:
In-memory grid files on graphics processors. DaMoN 2007: 5 - [c9]Bingsheng He, Naga K. Govindaraju, Qiong Luo, Burton Smith:
Efficient gather and scatter operations on graphics processors. SC 2007: 46 - [c8]Rui Fang, Bingsheng He, Mian Lu, Ke Yang, Naga K. Govindaraju, Qiong Luo, Pedro V. Sander:
GPUQP: query co-processing using graphics processors. SIGMOD Conference 2007: 1061-1063 - [c7]Bingsheng He, Yinan Li, Qiong Luo, Dongqing Yang:
EaseDB: a cache-oblivious in-memory query processor. SIGMOD Conference 2007: 1064-1066 - 2006
- [j12]Bingsheng He, Ya Xu, Xiao-Ming Yuan:
A Logarithmic-Quadratic Proximal Prediction-Correction Method for Structured Monotone Variational Inequalities. Comput. Optim. Appl. 35(1): 19-46 (2006) - [j11]Bingsheng He, Qiong Luo, Byron Choi:
Cache-Conscious Automata for XML Filtering. IEEE Trans. Knowl. Data Eng. 18(12): 1629-1644 (2006) - [c6]Bingsheng He, Qiong Luo:
Cache-oblivious nested-loop joins. CIKM 2006: 718-727 - [c5]Zi Lin, Bingsheng He, Byron Choi:
A Quantitative Summary of XML Structures. ER 2006: 228-240 - 2005
- [j10]Zhenhua Yang, Bingsheng He:
A Relaxed Approximate Proximal Point Algorithm. Ann. Oper. Res. 133(1-4): 119-125 (2005) - [c4]Bingsheng He, Qiong Luo, Byron Choi:
Cache-Conscious Automata for XML Filtering. ICDE 2005: 878-889 - 2004
- [j9]Bingsheng He, Xiaoming Yuan, Jason J. Z. Zhang:
Comparison of Two Kinds of Prediction-Correction Methods for Monotone Variational Inequalities. Comput. Optim. Appl. 27(3): 247-267 (2004) - [j8]Bingsheng He, Hai Yang, Chen-Song Zhang:
A modified augmented Lagrangian method for a class of monotone variational inequalities. Eur. J. Oper. Res. 159(1): 35-51 (2004) - [c3]Qiong Luo, Lionel M. Ni, Bingsheng He, Hejun Wu, Wenwei Xue:
MEADOWS: modeling, emulation, and analysis of data of wireless sensor networks. DMSN 2004: 58-67 - [c2]Wenwei Xue, Bingsheng He, Hejun Wu, Qiong Luo:
The HKUST Frog Pond - A Case Study of Sensory Data Analysis. NPC 2004: 551-558 - [c1]Hejun Wu, Qiong Luo, Pei Zheng, Bingsheng He, Lionel M. Ni:
Accurate Emulation of Wireless Sensor Networks. NPC 2004: 576-583 - 2003
- [j7]Bingsheng He, Li-Zhi Liao, Shengli Wang:
Self-adaptive operator splitting methods for monotone variational inequalities. Numerische Mathematik 94(4): 715-737 (2003) - 2002
- [j6]Bingsheng He, Li-Zhi Liao, Deren Han, Hai Yang:
A new inexact alternating directions method for monotone variational inequalities. Math. Program. 92(1): 103-118 (2002) - 2000
- [j5]Bingsheng He, Jing Zhou:
A modified alternating direction method for convex minimization problems. Appl. Math. Lett. 13(2): 123-130 (2000) - [j4]Bingsheng He, Hai Yang:
A neural network model for monotone linear asymmetric variational inequalities. IEEE Trans. Neural Networks Learn. Syst. 11(1): 3-16 (2000)
1990 – 1999
- 1999
- [j3]Bingsheng He:
Inexact implicit methods for monotone general variational inequalities. Math. Program. 86(1): 199-217 (1999) - 1998
- [j2]Bingsheng He, Hai Yang:
Some convergence properties of a method of multipliers for linearly constrained monotone variational inequalities. Oper. Res. Lett. 23(3-5): 151-161 (1998) - 1994
- [j1]Bingsheng He:
A new method for a class of linear variational inequalities. Math. Program. 66: 137-144 (1994)
1980 – 1989
- 1986
- [b1]Bingsheng He:
Grosse nichtlineare Optimierungsprobleme mit "Box-Constraints" und Gleichungsrestriktionen. Julius Maximilians University Würzburg, Germany, 1986, pp. 1-83
Coauthor Index
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