Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDXiaoguang Liu 0001
Person information
- affiliation: Nankai University, College of Computer and Control Engineering, Tianjin, China
Other persons with the same name
- Xiaoguang Liu — disambiguation page
- Xiaoguang Liu 0002
![[0000-0002-0935-3094]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-0935-3094")
— University of California at Davis, CA, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j35]Liping Yi, Xiaorong Shi, Nan Wang, Gang Wang, Xiaoguang Liu, Zhuan Shi, Han Yu:
pFedKT: Personalized federated learning with dual knowledge transfer. Knowl. Based Syst. 292: 111633 (2024)- [j34]Hao Zhou, Zhiheng Niu, Gang Wang, Xiaoguang Liu, Dongshi Liu, Bingnan Kang, Zheng Hu, Yong Zhang:
Proactive Drive Failure Prediction for Cloud Storage System Through Semi-Supervised Learning. IEEE Trans. Dependable Secur. Comput. 21(4): 1528-1543 (2024) - [c137]Hui Sun, Huidong Ma, Yingfeng Zheng, Haonan Xie, Meng Yan, Cheng Zhong, Xiaoguang Liu, Gang Wang:
LRCB: A Comprehensive Benchmark Evaluation of Reference-free Lossless Compression Tools for Genomics Sequencing Long Reads Data. DCC 2024: 584 - [c136]Tiannuo Yang, Wen Hu, Wangqi Peng, Yusen Li, Jianguo Li, Gang Wang, Xiaoguang Liu:
VDTuner: Automated Performance Tuning for Vector Data Management Systems. ICDE 2024: 4357-4369 - [c135]Mei Li, Xiaoguang Liu, Hua Ji, Shuangjia Zheng:
Causal Subgraph Learning for Generalizable Inductive Relation Prediction. KDD 2024: 1610-1620 - [c134]Nan Wang, Jiaqi Shi, Liping Yi, Gang Wang, Ming Su, Xiaoguang Liu:
APFL: Active-Passive Forgery Localization for Medical Images. PKDD (4) 2024: 181-193 - [i10]Liping Yi, Han Yu, Chao Ren, Heng Zhang, Gang Wang, Xiaoguang Liu, Xiaoxiao Li:
pFedMoE: Data-Level Personalization with Mixture of Experts for Model-Heterogeneous Personalized Federated Learning. CoRR abs/2402.01350 (2024) - [i9]Tiannuo Yang, Wen Hu, Wangqi Peng, Yusen Li, Jianguo Li, Gang Wang, Xiaoguang Liu:
VDTuner: Automated Performance Tuning for Vector Data Management Systems. CoRR abs/2404.10413 (2024) - [i8]Liping Yi, Han Yu, Chao Ren, Heng Zhang, Gang Wang, Xiaoguang Liu, Xiaoxiao Li:
pFedAFM: Adaptive Feature Mixture for Batch-Level Personalization in Heterogeneous Federated Learning. CoRR abs/2404.17847 (2024) - 2023
- [j33]Sinong Zhao, Zhaoyang Yu, Sifan Li, Xiaofei Wang, Trent G. Marbach, Gang Wang, Xiaoguang Liu:
Meta pseudo labels for anomaly detection via partially observed anomalies. Eng. Appl. Artif. Intell. 126: 106955 (2023) - [j32]Sinong Zhao, Zhaoyang Yu, Trent G. Marbach, Gang Wang, Airu Yin, Yatao Zhou, Xiaoguang Liu:
MDGAD: Meta domain generalization for distribution drift in anomaly detection. Neurocomputing 550: 126483 (2023) - [j31]Ruobing Chen, Haosen Shi, Jinping Wu, Yusen Li, Xiaoguang Liu, Gang Wang:
Jointly Optimizing Job Assignment and Resource Partitioning for Improving System Throughput in Cloud Datacenters. ACM Trans. Archit. Code Optim. 20(3): 34:1-34:24 (2023) - [j30]Ruobing Chen, Wangqi Peng, Yusen Li, Xiaoguang Liu, Gang Wang:
Orchid: An Online Learning Based Resource Partitioning Framework for Job Colocation With Multiple Objectives. IEEE Trans. Computers 72(12): 3443-3457 (2023) - [j29]Tongtong Su, Qiyu Liang, Jinsong Zhang, Zhaoyang Yu, Ziyue Xu, Gang Wang, Xiaoguang Liu:
Deep Cross-Layer Collaborative Learning Network for Online Knowledge Distillation. IEEE Trans. Circuits Syst. Video Technol. 33(5): 2075-2087 (2023) - [j28]Lixiao Cui, Kewen He, Yusen Li, Peng Li, Jiachen Zhang, Gang Wang, Xiaoguang Liu:
SwapKV: A Hotness Aware In-Memory Key-Value Store for Hybrid Memory Systems. IEEE Trans. Knowl. Data Eng. 35(1): 917-930 (2023) - [j27]Xinyu Liu, Yu Pan, Yusen Li, Gang Wang, Xiaoguang Liu:
An NVM SSD-Based High Performance Query Processing Framework for Search Engines. IEEE Trans. Knowl. Data Eng. 35(6): 5612-5625 (2023) - [j26]Yan Wang, Tongtong Su, Yusen Li, Jiuwen Cao, Gang Wang, Xiaoguang Liu:
DDistill-SR: Reparameterized Dynamic Distillation Network for Lightweight Image Super-Resolution. IEEE Trans. Multim. 25: 7222-7234 (2023) - [j25]Tongtong Su, Jinsong Zhang, Zhaoyang Yu, Gang Wang, Xiaoguang Liu:
STKD: Distilling Knowledge From Synchronous Teaching for Efficient Model Compression. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10051-10064 (2023) - [j24]Kewen He, Yujie An, Yijing Luo, Xiaoguang Liu, Gang Wang:
FlatLSM: Write-Optimized LSM-Tree for PM-Based KV Stores. ACM Trans. Storage 19(2): 19:1-19:26 (2023) - [c133]Xinyu Liu, Zijing Wei, Wenqing Yu, Shaozhi Liu, Gang Wang, Xiaoguang Liu, Yusen Li:
Khronos: A Real-Time Indexing Framework for Time Series Databases on Large-Scale Performance Monitoring Systems. CIKM 2023: 1607-1616 - [c132]Sinong Zhao, Zhaoyang Yu, Xiaofei Wang, Trent G. Marbach, Gang Wang, Xiaoguang Liu:
Meta Pseudo Labels for Anomaly Detection via Partially Observed Anomalies. DASFAA (4) 2023: 100-109 - [c131]Ruobing Chen, Haosen Shi, Yusen Li, Xiaoguang Liu, Gang Wang:
OLPart: Online Learning based Resource Partitioning for Colocating Multiple Latency-Critical Jobs on Commodity Computers. EuroSys 2023: 347-364 - [c130]Xiaorong Shi, Liping Yi, Xiaoguang Liu, Gang Wang:
FFEDCL: Fair Federated Learning with Contrastive Learning. ICASSP 2023: 1-5 - [c129]Lixiao Cui, Kedi Yang, Yusen Li, Gang Wang, Xiaoguang Liu:
DiffLex: A High-Performance, Memory-Efficient and NUMA-Aware Learned Index using Differentiated Management. ICPP 2023: 62-71 - [c128]Tiannuo Yang, Ruobing Chen, Yusen Li, Xiaoguang Liu, Gang Wang:
CoTuner: A Hierarchical Learning Framework for Coordinately Optimizing Resource Partitioning and Parameter Tuning. ICPP 2023: 317-326 - [c127]Nan Wang, Liping Yi, Gang Wang, Xiaoguang Liu:
MemAU-Net: Memory-Enhanced Attention U-Net for Medical Image Forgery Localization. IJCNN 2023: 1-7 - [c126]Liping Yi, Gang Wang, Xiaoguang Liu, Zhuan Shi, Han Yu:
FedGH: Heterogeneous Federated Learning with Generalized Global Header. ACM Multimedia 2023: 8686-8696 - [i7]Liping Yi, Gang Wang, Xiaoguang Liu, Zhuan Shi, Han Yu:
FedGH: Heterogeneous Federated Learning with Generalized Global Header. CoRR abs/2303.13137 (2023) - [i6]Liping Yi, Han Yu, Gang Wang, Xiaoguang Liu:
FedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning. CoRR abs/2310.13283 (2023) - 2022
- [j23]Yusen Li, Xiwei Wang, Haoyuan Liu, Lingjun Pu, Shanjiang Tang, Gang Wang, Xiaoguang Liu:
Reinforcement Learning-Based Resource Partitioning for Improving Responsiveness in Cloud Gaming. IEEE Trans. Computers 71(5): 1049-1062 (2022) - [c125]Lixiao Cui, Gang Wang, Yusen Li, Xiaoguang Liu:
HaCache: A Hybrid Adaptive Cache for Persistent Memory Based Key-Value Systems. APWeb/WAIM (1) 2022: 180-189 - [c124]Yuechen Pan, Yiwen Zhao, Xiaoguang Liu, Gang Wang, Ming Su:
FPLotto: A fair blockchain-based lottery scheme for privacy protection. Blockchain 2022: 21-28 - [c123]Ye Yuan, Yiwen Zhao, Ming Su, Gang Wang, Xiaoguang Liu:
A New PoW Consensus of Blockchain Based on Legendre Sequence. Blockchain 2022: 187-193 - [c122]Kaiyue Duan, Yusen Li, Gang Wang, Xiaoguang Liu:
Improving Server Re-Consolidation for Datacenters via Resource Exchange and Load Adjustment. CCGRID 2022: 635-644 - [c121]Wenwen Liu, Sinong Zhao, Zhaoyang Yu, Gang Wang, Xiaoguang Liu:
A Pareto-Efficient Task-Allocation Framework Based on Deep Reinforcement Learning Algorithm in MEC. CollaborateCom (2) 2022: 197-213 - [c120]Ruobing Chen, Haosen Shi, Jinping Wu, Yusen Li, Xiaoguang Liu, Gang Wang:
GCNPart: Interference-Aware Resource Partitioning Framework with Graph Convolutional Neural Networks and Deep Reinforcement Learning. ICA3PP 2022: 568-589 - [c119]Sinong Zhao, Zhaoyang Yu, Trent G. Marbach, Gang Wang, Xiaoguang Liu:
MSDN: A Multi-Subspace Deviation Net for Anomaly Detection. ICDM 2022: 1341-1346 - [c118]Liping Yi, Gang Wang, Xiaoguang Liu:
QSFL: A Two-Level Uplink Communication Optimization Framework for Federated Learning. ICML 2022: 25501-25513 - [c117]Zhaoyang Yu, Sinong Zhao, Tongtong Su, Wenwen Liu, Xiaoguang Liu, Gang Wang, Zehua Wang, Victor C. M. Leung:
DeepSCJD: An Online Deep Learning-Based Model for Secure Collaborative Job Dispatching in Edge Computing. ICSOC 2022: 481-497 - [c116]Bingzheng Ma, Ziqiang Zhang, Yusen Li, Wentong Cai, Gang Wang, Xiaoguang Liu:
SPIDER: An Effective, Efficient and Robust Load Scheduler for Real-time Split Frame Rendering. IPDPS 2022: 672-682 - [c115]Wenwen Liu, Yingjie Geng, Gang Wang, Xiaoguang Liu:
A Fault-Tolerant and Real-Time Framework for Efficient Resilience in Edge Inference Systems. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 121-128 - [c114]Wenwen Liu, Zhaoyang Yu, Gang Wang, Xiaoguang Liu:
Interference-Aware Task Allocation with QoS Guarantee on Edge. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 1144-1151 - [i5]Yan Wang, Yusen Li, Gang Wang, Xiaoguang Liu:
Multi-scale Attention Network for Single Image Super-Resolution. CoRR abs/2209.14145 (2022) - 2021
- [j22]Rui Zhang, Mingcong Song, Tao Li, Zhibin Yu, Yuting Dai, Xiaoguang Liu, Gang Wang:
Democratic learning: hardware/software co-design for lightweight blockchain-secured on-device machine learning. J. Syst. Archit. 118: 102205 (2021) - [j21]Jiachen Zhang, Lixiao Cui, Peng Li, Xiaoguang Liu, Gang Wang:
Toward Virtual Machine Image Management for Persistent Memory. ACM Trans. Storage 17(3): 20:1-20:24 (2021) - [j20]Yusen Li, Changjian Zhao, Xueyan Tang, Wentong Cai, Xiaoguang Liu, Gang Wang, Xiaoli Gong:
Towards Minimizing Resource Usage With QoS Guarantee in Cloud Gaming. IEEE Trans. Parallel Distributed Syst. 32(2): 426-440 (2021) - [c113]Rui Zhang, Pengyu Sun, Jiancong Tong, Ruirui Zang, Heng Qian, Yu Pan, Rebecca J. Stones, Gang Wang, Xiaoguang Liu, Yusen Li:
Three-level Compact Caching for Search Engines Based on Solid State Drives. HPCC/DSS/SmartCity/DependSys 2021: 16-25 - [c112]Yingjie Geng, Jinfei Luo, Gang Wang, Xiaoguang Liu:
ER-KV: High Performance Hybrid Fault-Tolerant Key-Value Store. HPCC/DSS/SmartCity/DependSys 2021: 179-188 - [c111]Ruobing Chen, Jinping Wu, Haosen Shi, Yusen Li, Xiaoguang Liu, Gang Wang:
DRLPart: A Deep Reinforcement Learning Framework for Optimally Efficient and Robust Resource Partitioning on Commodity Servers. HPDC 2021: 175-188 - [c110]Tongtong Su, Qiyu Liang, Jinsong Zhang, Zhaoyang Yu, Gang Wang, Xiaoguang Liu:
Attention-based Feature Interaction for Efficient Online Knowledge Distillation. ICDM 2021: 579-588 - [c109]Kaiyue Duan, Yusen Li, Trent G. Marbach, Gang Wang, Xiaoguang Liu:
Improving Load Balancing for Modern Data Centers Through Resource Equivalence Classes. ICSOC 2021: 548-562 - [c108]Ziyue Xu, Lixiao Cui, Gang Wang, Xiaoguang Liu:
Alter: Towards Optimizing Persistent Indexes in Hybrid Memory Systems. ISPA/BDCloud/SocialCom/SustainCom 2021: 308-315 - [c107]Zhaoyang Yu, Wenwen Liu, Xiaoguang Liu, Gang Wang:
Drag-JDEC: A Deep Reinforcement Learning and Graph Neural Network-based Job Dispatching Model in Edge Computing. IWQoS 2021: 1-10 - [c106]Hao Zhou, Zhiheng Niu, Gang Wang, Xiaoguang Liu, Dongshi Liu, Bingnan Kang, Hu Zheng, Yong Zhang:
A Proactive Failure Tolerant Mechanism for SSDs Storage Systems based on Unsupervised Learning. IWQoS 2021: 1-10 - [c105]Wenwen Liu, Zhaoyang Yu, Meng Yan, Gang Wang, Xiaoguang Liu:
A Novel Task-Allocation Framework Based on Decision-Tree Classification Algorithm in MEC. NPC 2021: 93-104 - 2020
- [j19]Jing Li, Peng Li, Rebecca J. Stones, Gang Wang, Zhongwei Li, Xiaoguang Liu:
Reliability Equations for Cloud Storage Systems with Proactive Fault Tolerance. IEEE Trans. Dependable Secur. Comput. 17(4): 782-794 (2020) - [c104]Ruobing Chen, Jinping Wu, Haosen Shi, Yusen Li, Haiyan Yin, Shanjiang Tang, Xiaoguang Liu, Gang Wang:
Deep Learning Assisted Resource Partitioning for Improving Performance on Commodity Servers. PACT 2020: 153-154 - [c103]Xinyu Liu, Yu Pan, Wenxiu Fang, Rebecca J. Stones, Gang Wang, Yusen Li, Xiaoguang Liu:
Pipelined Query Processing Using Non-volatile Memory SSDs. APWeb/WAIM (2) 2020: 457-472 - [c102]Xinyu Liu, Yu Pan, Yusen Li, Gang Wang, Xiaoguang Liu:
An NVM SSD-Optimized Query Processing Framework. CIKM 2020: 935-944 - [c101]Wenxiu Fang, Trent G. Marbach, Gang Wang, Xiaoguang Liu:
Hybrid Dynamic Pruning for Efficient and Effective Query Processing. CIKM 2020: 2013-2016 - [c100]Wenwen Cui, Zhaoyang Yu, Zhuangzhuang Liu, Gang Wang, Xiaoguang Liu:
Compressing Genomic Sequences by Using Deep Learning. ICANN (1) 2020: 92-104 - [c99]Zhuangzhuang Liu, Mingming Ren, Zhiheng Niu, Gang Wang, Xiaoguang Liu:
DeepED: A Deep Learning Framework for Estimating Evolutionary Distances. ICANN (1) 2020: 325-336 - [c98]Liping Yi, Jinsong Zhang, Rui Zhang, Jiaqi Shi, Gang Wang, Xiaoguang Liu:
SU-Net: An Efficient Encoder-Decoder Model of Federated Learning for Brain Tumor Segmentation. ICANN (1) 2020: 761-773 - [c97]Kaiyue Duan, Yusen Li, Trent G. Marbach, Gang Wang, Xiaoguang Liu:
Improving Load Balance via Resource Exchange in Large-Scale Search Engines. ICPP 2020: 65:1-65:11 - [c96]Mingming Ren, Yuyang Gao, Gang Wang, Xiaoguang Liu:
Discrete Sine and Cosine Transform and Helmholtz Equation Solver on GPU. ISPA/BDCloud/SocialCom/SustainCom 2020: 57-66 - [c95]Mingming Ren, Xiaomin Huang, Zhuofeng Wu, Rebecca J. Stones, Xiaoguang Liu, Gang Wang:
CuCodeML: GPU-Accelerated CodeML for the Branch-Site Model in Phylogenetics. ISPA/BDCloud/SocialCom/SustainCom 2020: 67-75 - [c94]Yusen Li, Jinping Wu, Bingzheng Ma, Gang Wang, Xiaoguang Liu:
Cost-Efficient Request Dispatching in Geo-distributed Cloud Gaming Infrastructure. ISPA/BDCloud/SocialCom/SustainCom 2020: 218-227 - [c93]Yichen Li, Kewen He, Gang Wang, Xiaoguang Liu:
Towards Optimizing Deduplication on Persistent Memory. NPC 2020: 465-477 - [c92]Meng Yan, Jiajia Xu, Trent G. Marbach, Haitao Li, Gang Wang, Xiaoguang Liu:
Audinet: A Decentralized Auditing System for Cloud Storage. SRDS 2020: 215-224
2010 – 2019
- 2019
- [j18]Meng Yan, Jiaqi Feng, Trent G. Marbach, Rebecca J. Stones, Gang Wang, Xiaoguang Liu:
Gecko: A Resilient Dispersal Scheme for Multi-Cloud Storage. IEEE Access 7: 77387-77397 (2019) - [j17]Bo Liu, Xi Huang, Xiaoguang Liu, Gang Wang, Ming Xu:
A universal compression strategy using sorting transformation. Int. J. Comput. Sci. Eng. 18(3): 211-216 (2019) - [j16]Yusen Li, Xueyan Tang, Wentong Cai, Jiancong Tong, Xiaoguang Liu, Gang Wang:
Resource-Efficient Index Shard Replication in Large Scale Search Engines. IEEE Trans. Parallel Distributed Syst. 30(12): 2820-2835 (2019) - [c91]Shuni Gao, Jipeng Liu, Xiaoguang Liu, Gang Wang:
A Lossy Compression Method on Positional Index for Efficient and Effective Retrieval. CIKM 2019: 2317-2320 - [c90]Yusen Li, Chuxu Shan, Ruobing Chen, Xueyan Tang, Wentong Cai, Shanjiang Tang, Xiaoguang Liu, Gang Wang, Xiaoli Gong, Ying Zhang:
GAugur: Quantifying Performance Interference of Colocated Games for Improving Resource Utilization in Cloud Gaming. HPDC 2019: 231-242 - [c89]Dongshi Liu, Bo Wang, Peng Li, Rebecca J. Stones, Trent G. Marbach, Gang Wang, Xiaoguang Liu, Zhongwei Li:
Predicting Hard Drive Failures for Cloud Storage Systems. ICA3PP (1) 2019: 373-388 - [c88]Wenxiu Fang, Rebecca J. Stones, Trent G. Marbach, Gang Wang, Xiaoguang Liu:
Towards a Latin-Square Search Engine. ISPA/BDCloud/SocialCom/SustainCom 2019: 727-735 - [c87]Mingming Ren, Xiaomin Huang, Yuyang Gao, Gang Wang, Xiaoguang Liu:
CuPhylo: A CUDA Based Application Program Interface and Library for Phylogenetic Analysis. ISPA/BDCloud/SocialCom/SustainCom 2019: 1386-1393 - [c86]Yusen Li, Haoyuan Liu, Xiwei Wang, Lingjun Pu, Trent G. Marbach, Shanjiang Tang, Gang Wang, Xiaoguang Liu:
Themis: Efficient and Adaptive Resource Partitioning for Reducing Response Delay in Cloud Gaming. ACM Multimedia 2019: 491-499 - [c85]Jiachen Zhang, Lixiao Cui, Peng Li, Xiaoguang Liu, Gang Wang:
Towards Virtual Machine Image Management for Persistent Memory. MSST 2019: 116-125 - [c84]Xinyu Liu, Zhaohua Zhang, Rebecca J. Stones, Yusen Li, Gang Wang, Xiaoguang Liu:
A Hybrid BitFunnel and Partitioned Elias-Fano Inverted Index. WWW 2019: 1153-1163 - 2018
- [j15]Jing Li, Rebecca J. Stones, Gang Wang, Zhongwei Li, Xiaoguang Liu, Jianli Ding:
New Metrics for Disk Failure Prediction That Go Beyond Prediction Accuracy. IEEE Access 6: 76627-76639 (2018) - [j14]Shizhao Sun, Xiaoguang Liu:
EC-DNN: A new method for parallel training of deep neural networks. Neurocomputing 287: 118-127 (2018) - [j13]Yusen Li, Yunhua Deng, Xueyan Tang, Wentong Cai, Xiaoguang Liu, Gang Wang:
Cost-Efficient Server Provisioning for Cloud Gaming. ACM Trans. Multim. Comput. Commun. Appl. 14(3s): 55:1-55:22 (2018) - [c83]Yan Fan, Xinyu Liu, Shuni Gao, Zhaohua Zhang, Xiaoguang Liu, Gang Wang:
Efficient Grammar Generation for Inverted Indexes. APWeb/WAIM (1) 2018: 253-267 - [c82]Shizhao Sun, Wei Chen, Jiang Bian, Xiaoguang Liu, Tie-Yan Liu:
Slim-DP: A Multi-Agent System for Communication-Efficient Distributed Deep Learning. AAMAS 2018: 721-729 - [c81]Rui Cao, Zhaoyang Yu, Trent G. Marbach, Jing Li, Gang Wang, Xiaoguang Liu:
Load Prediction for Data Centers Based on Database Service. COMPSAC (1) 2018: 728-737 - [c80]Wenwen Liu, Rebecca J. Stones, Gang Wang, Xiaoguang Liu:
An Energy-Efficient Objective Optimization Model for Dynamic Management of Reliability and Delay in WSNs. ICA3PP (2) 2018: 238-247 - [c79]Bing Yan, Ming Su, Gang Wang, Xiaoguang Liu, Mingming Ren:
A New Enhanced Reversible Data Hiding Using Topology Preserved Chains. ICME Workshops 2018: 1-6 - [c78]Jiachen Zhang, Peng Li, Bo Liu, Trent G. Marbach, Xiaoguang Liu, Gang Wang:
Performance Analysis of 3D XPoint SSDs in Virtualized and Non-Virtualized Environments. ICPADS 2018: 51-60 - [c77]Shuaibing Zhao, Lu Shen, Yusen Li, Rebecca J. Stones, Gang Wang, Xiaoguang Liu:
An Efficient Fault Tolerance Framework for Distributed In-Memory Caching Systems. ICPADS 2018: 553-560 - [c76]Zhaoyang Yu, Xiaoguang Liu, Gang Wang:
A Survey of Consensus and Incentive Mechanism in Blockchain Derived from P2P. ICPADS 2018: 1010-1015 - [c75]Yusen Li, Xueyan Tang, Wentong Cai, Jiancong Tong, Xiaoguang Liu, Gang Wang, Chuansong Gao, Xuan Cao, Guanhui Geng, Minghui Li:
Index Shard Replication Strategies for Improving Resource Utilization in Large Scale Search Engines. ICPP 2018: 84:1-84:10 - [c74]Zhaohua Zhang, Naiyong Ao, Gang Wang, Xiaoguang Liu:
An Extensible Search Engine Platform for Efficiency Research. ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018: 676-683 - [c73]Xinyu Liu, Zhaohua Zhang, Boran Hou, Rebecca J. Stones, Gang Wang, Xiaoguang Liu:
Index Compression for BitFunnel Query Processing. SIGIR 2018: 921-924 - 2017
- [j12]Xingtong Jin, Peng Li, Gang Wang, Xiaoguang Liu, Zhongwei Li:
基于异或的隐私保护码优化研究 (Optimizing Small XOR-based Non-systematic Erasure Codes). 计算机科学 44(6): 36-42 (2017) - [j11]Jing Li, Rebecca J. Stones, Gang Wang, Xiaoguang Liu, Zhongwei Li, Ming Xu:
Hard drive failure prediction using Decision Trees. Reliab. Eng. Syst. Saf. 164: 55-65 (2017) - [j10]Jingwei Ma, Rebecca J. Stones, Yuxiang Ma, Jingui Wang, Junjie Ren, Gang Wang, Xiaoguang Liu:
Lazy Exact Deduplication. ACM Trans. Storage 13(2): 11:1-11:26 (2017) - [c72]Haibing Huang, Mingming Ren, Yue Zhao, Rebecca J. Stones, Rui Zhang, Gang Wang, Xiaoguang Liu:
GPU-Accelerated Block-Max Query Processing. ICA3PP 2017: 225-238 - [c71]Dongdong Wang, Wenqing Yu, Rebecca J. Stones, Junjie Ren, Gang Wang, Xiaoguang Liu, Mingming Ren:
Efficient GPU-Based Query Processing with Pruned List Caching in Search Engines. ICPADS 2017: 215-224 - [c70]Mingjie Zhao, Qiang Ren, Yilin Wang, Ruikang Deng, Mingming Ren, Gang Wang, Xiaoguang Liu:
A Three-Level Parallel Algorithm for MrBayes 3.2. ISPA/IUCC 2017: 1246-1250 - [c69]Yusen Li, Yunhua Deng, Xueyan Tang, Wentong Cai, Xiaoguang Liu, Gang Wang:
On Server Provisioning for Cloud Gaming. ACM Multimedia 2017: 492-500 - [c68]Shizhao Sun, Wei Chen, Jiang Bian, Xiaoguang Liu, Tie-Yan Liu:
Ensemble-Compression: A New Method for Parallel Training of Deep Neural Networks. ECML/PKDD (1) 2017: 187-202 - [c67]Jiahui Jiao, Benjun Ye, Yue Zhao, Rebecca J. Stones, Gang Wang, Xiaoguang Liu, Shaoyan Wang, Guangjun Xie:
Detecting TCP-Based DDoS Attacks in Baidu Cloud Computing Data Centers. SRDS 2017: 256-258 - [c66]Peng Li, Jiaxiang Dong, Xueda Liu, Gang Wang, Zhongwei Li, Xiaoguang Liu:
PITR: An Efficient Single-Failure Recovery Scheme for PIT-Coded Cloud Storage Systems. SRDS 2017: 259-261 - [i4]Shizhao Sun, Wei Chen, Jiang Bian, Xiaoguang Liu, Tie-Yan Liu:
Slim-DP: A Light Communication Data Parallelism for DNN. CoRR abs/1709.09393 (2017) - 2016
- [j9]Rebecca J. Stones, Ming Su, Xiaoguang Liu, Gang Wang, Sheng Lin:
A Latin square autotopism secret sharing scheme. Des. Codes Cryptogr. 80(3): 635-650 (2016) - [j8]Rebecca J. Stones, Sheng Lin, Xiaoguang Liu, Gang Wang:
On Computing the Number of Latin Rectangles. Graphs Comb. 32(3): 1187-1202 (2016) - [j7]Lu Shen, Shifang Feng, Jinjin Sun, Zhongwei Li, Ming Su, Gang Wang, Xiaoguang Liu:
CloudS: A Multi-Cloud Storage System with Multi-Level Security. IEICE Trans. Inf. Syst. 99-D(8): 2036-2043 (2016) - [j6]Chang Xu, Gang Wang, Xiaoguang Liu, Dongdong Guo, Tie-Yan Liu:
Health Status Assessment and Failure Prediction for Hard Drives with Recurrent Neural Networks. IEEE Trans. Computers 65(11): 3502-3508 (2016) - [c65]Shizhao Sun, Wei Chen, Liwei Wang, Xiaoguang Liu, Tie-Yan Liu:
On the Depth of Deep Neural Networks: A Theoretical View. AAAI 2016: 2066-2072 - [c64]Shuai Pang, Yuhan Jia, Rebecca J. Stones, Gang Wang, Xiaoguang Liu:
A combined Bayesian network method for predicting drive failure times from SMART attributes. IJCNN 2016: 4850-4856 - [c63]Jingwei Ma, Rebecca J. Stones, Yuxiang Ma, Jingui Wang, Junjie Ren, Gang Wang, Xiaoguang Liu:
Lazy exact deduplication. MSST 2016: 1-10 - [c62]Zhaohua Zhang, Jiancong Tong, Haibing Huang, Jin Liang, Tianlong Li, Rebecca J. Stones, Gang Wang, Xiaoguang Liu:
Leveraging Context-Free Grammar for Efficient Inverted Index Compression. SIGIR 2016: 275-284 - [c61]