Xiaoguang Liu

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 111

Top Venues

SRDS

CIKM

ISPA/BDCloud/SocialCom/SustainCom

CoRR

Publications

Nan Wang, Jiaqi Shi, Liping Yi, Gang Wang, Ming Su, Xiaoguang Liu
APFL: Active-Passive Forgery Localization for Medical Images. PKDD (4) (2024)
Tiannuo Yang, Wen Hu, Wangqi Peng, Yusen Li, Jianguo Li, Gang Wang, Xiaoguang Liu
VDTuner: Automated Performance Tuning for Vector Data Management Systems. CoRR (2024)
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)
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) (2024)
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 (2024)
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)
Mei Li, Xiaoguang Liu, Hua Ji, Shuangjia Zheng
Causal Subgraph Learning for Generalizable Inductive Relation Prediction. KDD (2024)
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)
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 (2023)
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) (2023)
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)
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) (2023)
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) (2023)
Nan Wang, Liping Yi, Gang Wang, Xiaoguang Liu
MemAU-Net: Memory-Enhanced Attention U-Net for Medical Image Forgery Localization. IJCNN (2023)
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)
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 (2023)
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)
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)
Xiaorong Shi, Liping Yi, Xiaoguang Liu, Gang Wang
FFEDCL: Fair Federated Learning with Contrastive Learning. ICASSP (2023)
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) (2023)
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) (2023)
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) (2023)
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 (2023)
Yuechen Pan, Yiwen Zhao, Xiaoguang Liu, Gang Wang, Ming Su
FPLotto: A fair blockchain-based lottery scheme for privacy protection. Blockchain (2022)
Ye Yuan, Yiwen Zhao, Ming Su, Gang Wang, Xiaoguang Liu
A New PoW Consensus of Blockchain Based on Legendre Sequence. Blockchain (2022)
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)
Kaiyue Duan, Yusen Li, Gang Wang, Xiaoguang Liu
Improving Server Re-Consolidation for Datacenters via Resource Exchange and Load Adjustment. CCGRID (2022)
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)
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)
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)
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) (2022)
Liping Yi, Gang Wang, Xiaoguang Liu
QSFL: A Two-Level Uplink Communication Optimization Framework for Federated Learning. ICML (2022)
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)
Lixiao Cui, Gang Wang, Yusen Li, Xiaoguang Liu
HaCache: A Hybrid Adaptive Cache for Persistent Memory Based Key-Value Systems. APWeb/WAIM (1) (2022)
Wenwen Liu, Zhaoyang Yu, Gang Wang, Xiaoguang Liu
Interference-Aware Task Allocation with QoS Guarantee on Edge. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta (2022)
Yan Wang, Yusen Li, Gang Wang, Xiaoguang Liu
Multi-scale Attention Network for Single Image Super-Resolution. CoRR (2022)
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) (2021)
Tongtong Su, Qiyu Liang, Jinsong Zhang, Zhaoyang Yu, Gang Wang, Xiaoguang Liu
Attention-based Feature Interaction for Efficient Online Knowledge Distillation. ICDM (2021)
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)
Jiachen Zhang, Lixiao Cui, Peng Li, Xiaoguang Liu, Gang Wang
Toward Virtual Machine Image Management for Persistent Memory. ACM Trans. Storage 17 (3) (2021)
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)
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 (2021)
Yingjie Geng, Jinfei Luo, Gang Wang, Xiaoguang Liu
ER-KV: High Performance Hybrid Fault-Tolerant Key-Value Store. HPCC/DSS/SmartCity/DependSys (2021)
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)
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)
Xinyu Liu, Yu Pan, Yusen Li, Gang Wang, Xiaoguang Liu
An NVM SSD-Optimized Query Processing Framework. CIKM (2020)
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)
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)
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)
Mingming Ren, Yuyang Gao, Gang Wang, Xiaoguang Liu
Discrete Sine and Cosine Transform and Helmholtz Equation Solver on GPU. ISPA/BDCloud/SocialCom/SustainCom (2020)
Meng Yan, Jiajia Xu, Trent G. Marbach, Haitao Li, Gang Wang, Xiaoguang Liu
Audinet: A Decentralized Auditing System for Cloud Storage. SRDS (2020)
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) (2020)
Kaiyue Duan, Yusen Li, Trent G. Marbach, Gang Wang, Xiaoguang Liu
Improving Load Balance via Resource Exchange in Large-Scale Search Engines. ICPP (2020)
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)
Zhuangzhuang Liu, Mingming Ren, Zhiheng Niu, Gang Wang, Xiaoguang Liu
DeepED: A Deep Learning Framework for Estimating Evolutionary Distances. ICANN (1) (2020)
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)
Wenxiu Fang, Trent G. Marbach, Gang Wang, Xiaoguang Liu
Hybrid Dynamic Pruning for Efficient and Effective Query Processing. CIKM (2020)
Wenwen Cui, Zhaoyang Yu, Zhuangzhuang Liu, Gang Wang, Xiaoguang Liu
Compressing Genomic Sequences by Using Deep Learning. ICANN (1) (2020)
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)
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)
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 (2019)
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)
Shuni Gao, Jipeng Liu, Xiaoguang Liu, Gang Wang
A Lossy Compression Method on Positional Index for Efficient and Effective Retrieval. CIKM (2019)
Jiachen Zhang, Lixiao Cui, Peng Li, Xiaoguang Liu, Gang Wang
Towards Virtual Machine Image Management for Persistent Memory. MSST (2019)
Xinyu Liu, Zhaohua Zhang, Rebecca J. Stones, Yusen Li, Gang Wang, Xiaoguang Liu
A Hybrid BitFunnel and Partitioned Elias-Fano Inverted Index. WWW (2019)
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) (2019)
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)
Wenxiu Fang, Rebecca J. Stones, Trent G. Marbach, Gang Wang, Xiaoguang Liu
Towards a Latin-Square Search Engine. ISPA/BDCloud/SocialCom/SustainCom (2019)
Bo Liu, Xi Huang, Xiaoguang Liu, Gang Wang, Ming Xu
A universal compression strategy using sorting transformation. Int. J. Comput. Sci. Eng. 18 (3) (2019)
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) (2018)
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)
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 (2018)
Xinyu Liu, Zhaohua Zhang, Boran Hou, Rebecca J. Stones, Gang Wang, Xiaoguang Liu
Index Compression for BitFunnel Query Processing. SIGIR (2018)
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)
Zhaoyang Yu, Xiaoguang Liu, Gang Wang
A Survey of Consensus and Incentive Mechanism in Blockchain Derived from P2P. ICPADS (2018)
Zhaohua Zhang, Naiyong Ao, Gang Wang, Xiaoguang Liu
An Extensible Search Engine Platform for Efficiency Research. ISPA/IUCC/BDCloud/SocialCom/SustainCom (2018)
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)
Yan Fan, Xinyu Liu, Shuni Gao, Zhaohua Zhang, Xiaoguang Liu, Gang Wang
Efficient Grammar Generation for Inverted Indexes. APWeb/WAIM (1) (2018)
Bing Yan, Ming Su, Gang Wang, Xiaoguang Liu, Mingming Ren
A New Enhanced Reversible Data Hiding Using Topology Preserved Chains. ICME Workshops (2018)
Shizhao Sun, Xiaoguang Liu
EC-DNN: A new method for parallel training of deep neural networks. Neurocomputing 287 (2018)
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)
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)
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)
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)
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)
Haibing Huang, Mingming Ren, Yue Zhao, Rebecca J. Stones, Rui Zhang, Gang Wang, Xiaoguang Liu
GPU-Accelerated Block-Max Query Processing. ICA3PP (2017)
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)
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)
Jingwei Ma, Rebecca J. Stones, Yuxiang Ma, Jingui Wang, Junjie Ren, Gang Wang, Xiaoguang Liu
Lazy Exact Deduplication. ACM Trans. Storage 13 (2) (2017)
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)
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 (2017)
Yusen Li, Yunhua Deng, Xueyan Tang, Wentong Cai, Xiaoguang Liu, Gang Wang
On Server Provisioning for Cloud Gaming. ACM Multimedia (2017)
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) (2017)
Shizhao Sun, Wei Chen, Jiang Bian, Xiaoguang Liu, Tie-Yan Liu
Slim-DP: A Light Communication Data Parallelism for DNN. CoRR (2017)
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. (8) (2016)
Zhaohua Zhang, Benjun Ye, Jiayi Huang, Rebecca J. Stones, Gang Wang, Xiaoguang Liu
NBLucene: Flexible and Efficient Open Source Search Engine. WAIM (1) (2016)
Shizhao Sun, Wei Chen, Liwei Wang, Xiaoguang Liu, Tie-Yan Liu
On the Depth of Deep Neural Networks: A Theoretical View. AAAI (2016)
Ju Yang, Jiancong Tong, Rebecca J. Stones, Zhaohua Zhang, Benjun Ye, Gang Wang, Xiaoguang Liu
Selective Term Proximity Scoring Via BP-ANN. CoRR (2016)
Shizhao Sun, Wei Chen, Jiang Bian, Xiaoguang Liu, Tie-Yan Liu
Ensemble-Compression: A New Method for Parallel Training of Deep Neural Networks. CoRR (2016)
Jingwei Ma, Boxue Yin, Zhi Kong, Yuxiang Ma, Chang Chen, Long Wang, Gang Wang, Xiaoguang Liu
Leveraging Page-Level Compression in MySQL - A Practice at Baidu. Trustcom/BigDataSE/ISPA (2016)

Xiaoguang Liu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Xiaoguang Liu