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ORCIDYinliang Zhao
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2020 – today
- 2024
[j23]Bin Shang, Yinliang Zhao, Jun Liu
:
Knowledge graph representation learning with relation-guided aggregation and interaction. Inf. Process. Manag. 61(4): 103752 (2024)- [j22]Bin Shang, Yinliang Zhao, Yifan Liu, Chenxin Wang:
Attention-based exploitation and exploration strategy for multi-hop knowledge graph reasoning. Inf. Sci. 653: 119787 (2024) - [j21]Bin Shang, Yinliang Zhao, Jun Liu:
Learnable convolutional attention network for knowledge graph completion. Knowl. Based Syst. 285: 111360 (2024) - [c38]Bin Shang, Yinliang Zhao, Jun Liu, Di Wang:
LAFA: Multimodal Knowledge Graph Completion with Link Aware Fusion and Aggregation. AAAI 2024: 8957-8965 - [c37]Bin Shang, Yinliang Zhao, Jun Liu, Di Wang:
Mixed Geometry Message and Trainable Convolutional Attention Network for Knowledge Graph Completion. AAAI 2024: 8966-8974 - 2023
- [j20]Bin Shang, Yinliang Zhao, Jun Liu, Yifan Liu, Chenxin Wang:
A contrastive knowledge graph embedding model with hierarchical attention and dynamic completion. Neural Comput. Appl. 35(20): 15005-15018 (2023) - [c36]Yifan Liu, Bin Shang, Chenxin Wang, Yinliang Zhao:
Knowledge Graph Completion with Information Adaptation and Refinement. ADMA (2) 2023: 16-31 - [c35]Bin Shang, Yinliang Zhao, Di Wang, Jun Liu:
Relation-Aware Multi-Positive Contrastive Knowledge Graph Completion with Embedding Dimension Scaling. SIGIR 2023: 878-888 - 2022
- [j19]Shuo Ji, Yinliang Zhao, Yuxiang Li:
Performance prediction for distributed graph computing. Concurr. Comput. Pract. Exp. 34(12) (2022) - [j18]Changpeng Zhu, Bo Han, Yinliang Zhao:
A bi-metric autoscaling approach for n-tier web applications on kubernetes. Frontiers Comput. Sci. 16(3): 163101 (2022) - [j17]Changpeng Zhu, Bo Han, Yinliang Zhao:
A comparative performance study of spark on kubernetes. J. Supercomput. 78(11): 13298-13322 (2022) - 2021
- [j16]Chunmao Li, Yang Li, Yinliang Zhao, Peng Peng, Xupeng Geng:
SLER: Self-generated long-term experience replay for continual reinforcement learning. Appl. Intell. 51(1): 185-201 (2021) - 2020
- [j15]Chunmao Li, Xuanguang Wei, Yinliang Zhao, Xupeng Geng:
An effective maximum entropy exploration approach for deceptive game in reinforcement learning. Neurocomputing 403: 98-108 (2020)
2010 – 2019
- 2019
- [j14]Fei Wang, Jianwei Feng, Yinliang Zhao, Xiaobin Zhang, Shiyuan Zhang, Jinsong Han:
Joint Activity Recognition and Indoor Localization With WiFi Fingerprints. IEEE Access 7: 80058-80068 (2019) - [j13]Bo Han, Yinliang Zhao, Changpeng Zhu:
An Object Proxy-Based Dynamic Layer Replacement to Protect IoMT Applications. Secur. Commun. Networks 2019: 2798571:1-2798571:9 (2019) - [j12]Shuo Ji, Yinliang Zhao, Xiaomei Zhao:
A low-latency computing framework for time-evolving graphs. J. Supercomput. 75(7): 3673-3692 (2019) - [j11]Yuxiang Li, Yinliang Zhao, Liyu Sun, Mengjuan Shen:
A hybrid sample generation approach in speculative multithreading. J. Supercomput. 75(8): 4193-4225 (2019) - [c34]Shuo Ji, Yinliang Zhao, Qing Yi:
Accelerating parallel graph computing with speculation. CF 2019: 115-124 - [c33]Rui Zhao, Ruoqi Dang, Yinliang Zhao:
A Neural Network Go Rating Model Considering Winning Rate. CSAI 2019: 23-27 - [c32]Guangwei Zhang, Yinliang Zhao:
Target-Directed MixUp for Labeling Tangut Characters. ICDAR 2019: 202-207 - [i2]Fei Wang, Jianwei Feng, Yinliang Zhao, Xiaobin Zhang, Shiyuan Zhang, Jinsong Han:
Joint Activity Recognition and Indoor Localization. CoRR abs/1904.04964 (2019) - 2018
- [j10]Zhoukai Wang, Yinliang Zhao, Yang Liu, Cuocuo Lv:
A speculative parallel simulated annealing algorithm based on Apache Spark. Concurr. Comput. Pract. Exp. 30(14) (2018) - [j9]Shuo Ji, Yinliang Zhao:
A Local Approximation Approach for Processing Time-Evolving Graphs. Symmetry 10(7): 247 (2018) - [c31]Guangwei Zhang, Yinliang Zhao:
Learning Radicals From Tangut Characters. ICSAI 2018: 373-378 - 2017
- [j8]Yuxiang Li, Yinliang Zhao, Qiangsheng Wu:
GbA: A graph-based thread partition approach in speculative multithreading. Concurr. Comput. Pract. Exp. 29(21) (2017) - [j7]BaoHong Li, Baojun Li, Yinliang Zhao:
Generic construction of role-based encryption in the standard model. Int. J. Secur. Networks 12(3): 198-205 (2017) - [j6]Yuxiang Li, Yinliang Zhao, Bin Liu:
Qinling: A Parametric Model in Speculative Multithreading. Symmetry 9(9): 180 (2017) - [j5]Zhoukai Wang, Yinliang Zhao, Yang Liu, Zhong Chen, Cuocuo Lv, Yuxiang Li:
A speculative parallel decompression algorithm on Apache Spark. J. Supercomput. 73(9): 4082-4111 (2017) - [c30]Zhoukai Wang, Yinliang Zhao, Zhaorong Wang, Yuxiang Li:
A Speculative Parallel Intrusion Prevention System Based on Apache Spark. ISPA/IUCC 2017: 630-637 - 2016
- [c29]Yuxiang Li, Yinliang Zhao, Jiaqiang Shi:
A Hybrid Samples Generation Approach in Speculative Multithreading. HPCC/SmartCity/DSS 2016: 35-41 - [c28]Yuxiang Li, Yinliang Zhao, Qiangsheng Wu:
A Graph-Based Thread Partition Approach in Speculative Multithreading. HPCC/SmartCity/DSS 2016: 406-413 - 2015
- [j4]Yuxiang Li, Yinliang Zhao, Bin Liu, Shuo Ji:
Optimization of thread partitioning parameters in speculative multithreading based on artificial immune algorithm. Frontiers Inf. Technol. Electron. Eng. 16(3): 205-216 (2015) - [c27]Qinghua Zeng, Yinliang Zhao, Tan Tan, Bo Han:
Dynamically Evolving Annotation-Based Variability for Runtime Adaptation. CIT/IUCC/DASC/PICom 2015: 423-430 - [c26]Yuxiang Li, Yinliang Zhao, Huan Gao:
Using Artificial Neural Network for Predicting Thread Partitioning in Speculative Multithreading. HPCC/CSS/ICESS 2015: 823-826 - [c25]Changpeng Zhu, Bo Han, Yinliang Zhao, Bin Liu:
A Queueing-Theory-Based Bandwidth Allocation Algorithm for Live Virtual Machine Migration. SmartCity 2015: 1065-1072 - 2014
- [j3]Changpeng Zhu, Yinliang Zhao, Bo Han, Qinghua Zeng, Ying Ma:
Runtime support for type-safe and context-based behavior adaptation. Frontiers Comput. Sci. 8(1): 17-32 (2014) - [j2]Meirong Li, Yinliang Zhao, You Tao, Qi-Ming Wang:
A Static Greedy and Dynamic Adaptive Thread Spawning Approach for Loop-Level Parallelism. J. Comput. Sci. Technol. 29(6): 962-975 (2014) - [c24]Meirong Li, Yinliang Zhao, Yongqiang Si:
Dynamic Core Allocation for Energy-Efficient Thread-Level Speculation. CSE 2014: 682-689 - [c23]Meirong Li, Yinliang Zhao:
A Dynamically Adaptive Approach for Speculative Loop Execution in SMT Architectures. HPCC/CSS/ICESS 2014: 1024-1031 - [c22]Yuxiang Li, Yinliang Zhao, Bin Liu:
Similar Samples Cleaning in Speculative Multithreading. ICA3PP (2) 2014: 108-121 - [c21]Meirong Li, Yinliang Zhao, You Tao:
Dynamically Spawning Speculative Threads to Improve Speculative Path Execution. ICA3PP (2) 2014: 192-206 - [i1]Zhaoyu Dong, Bing Gao, Yinliang Zhao, Shaolong Song, Yanning Du:
Prophet: A Speculative Multi-threading Execution Model with Architectural Support Based on CMP. CoRR abs/1412.3224 (2014) - 2013
- [c20]Yuxiang Li, Yinliang Zhao, Bin Liu:
Similarity Assessment of Program Samples Based on Theory of Fuzzy. CSE 2013: 202-207 - [c19]Bin Liu, Yinliang Zhao, Xiang Zhong, Zengyu Liang, Boqin Feng:
A Novel Thread Partitioning Approach Based on Machine Learning for Speculative Multithreading. HPCC/EUC 2013: 826-836 - [c18]Bo Han, Yinliang Zhao, Changpeng Zhu, Qinghua Zeng:
Towards Runtime Adaptation in Context-Oriented Programming. CCE 2013: 201-208 - 2012
- [c17]Yinliang Zhao, Changpeng Zhu, Bo Han, Qinghua Zeng:
Runtime Support for Type-Safe and Context-Based Behavior Adaptation. CIT 2012: 25-32 - [c16]Yinliang Zhao, Changpeng Zhu, Bo Han:
Towards type-safe and context-based behavior adaptation. CCE 2012: 1-6 - [c15]Yanning Du, Yinliang Zhao, Bo Han, Yuancheng Li:
A Data Structure Centric Method and Execution Model for Partitioning Sequential Programs into Multiple Speculative Threads. HPCC-ICESS 2012: 556-563 - 2011
- [c14]Yuancheng Li, Yinliang Zhao, Peipei Yin, Yanning Du:
Speculative Thread Partitioning Using Fuzzy C-means Clustering. CSE 2011: 199-206 - 2010
- [c13]Yuancheng Li, Yinliang Zhao, Yuanke Wei, Yanning Du:
A Cost Estimation Model for Speculative Thread Partitioning. ISPA 2010: 66-74 - [c12]Xuhao Wang, Yinliang Zhao, Yuanke Wei, Shaolong Song, Bo Han:
Prophet Synchronization Thread Model and Compiler Support. ISPA 2010: 81-87 - [c11]Yanning Du, Yinliang Zhao, Bo Han, Yuancheng Li:
Optimistic Parallelism Based on Speculative Asynchronous Messages Passing. ISPA 2010: 382-391
2000 – 2009
- 2009
- [c10]Yinliang Zhao:
A step toward code granulation space. GrC 2009: 799-804 - [c9]Zhaoyu Dong, Yinliang Zhao, Yuanke Wei, Xuhao Wang, Shaolong Song:
Prophet: A Speculative Multi-threading Execution Model with Architectural Support Based on CMP. ScalCom-EmbeddedCom 2009: 103-108 - [c8]Xiao-Yu Pan, Yinliang Zhao, Zheng Chen, Xuhao Wang, Yuanke Wei, Yanning Du:
A Thread Partitioning Method for Speculative Multithreading. ScalCom-EmbeddedCom 2009: 285-290 - 2008
- [c7]Xiaojian Ding, Yuancheng Li, Yinliang Zhao:
A Framework of User Model Based on Semi-Supervised Techniques. ICEBE 2008: 396-401 - 2006
- [c6]Fangfang Wu, Yinliang Zhao:
Least Squares Support Vector Machine on Gaussian Wavelet Kernel Function Set. ISNN (1) 2006: 936-941 - 2005
- [c5]YongZhong Zhang, Yinliang Zhao, Fangfang Wu, ZengZhi Li:
The Minimization of QoS Deviation in Grid Environment. GCC 2005: 226-231 - [c4]Fangfang Wu, Yinliang Zhao, Zefei Jiang:
A Novel Parallel Reduced Support Vector Machine. ICNC (1) 2005: 608-618 - [c3]Fangfang Wu, Yinliang Zhao:
Least Squares Littlewood-Paley Wavelet Support Vector Machine. MICAI 2005: 462-472 - 2004
- [j1]Yinliang Zhao:
Granule-oriented programming. ACM SIGPLAN Notices 39(12): 107-118 (2004) - [c2]Yinliang Zhao, Jingtao Yao, Yiyu Yao:
Data mining support systems. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2004: 218-227 - [c1]Yinliang Zhao:
Granule-oriented programming (extended abstract). OOPSLA Companion 2004: 128-131
Coauthor Index
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last updated on 2024-07-20 20:30 CEST by the dblp team
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