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ORCIDXiang Zhao 0002
Person information
- affiliation: National University of Defense Technology, Science and Technology on Information Systems Engineering Laboratory, Changsha, China
- affiliation (PhD 2014): University of New South Wales, Australia
Other persons with the same name
- Xiang Zhao — disambiguation page
- Xiang Zhao 0001
![[0000-0003-3982-4763]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3982-4763")
— Xi'an Jiaotong University, Institute for Chemical Physics / Department of Chemistry, China (and 1 more) - Xiang Zhao 0003 — Guilin University of Electronic Technology, Key Laboratory of Cognitive Radio and Information Processing, China (and 1 more)
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2020 – today
- 2021
[j37]Ning Pang, Xiang Zhao, Wei Wang, Weidong Xiao, Deke Guo:
Few-shot text classification by leveraging bi-directional attention and cross-class knowledge. Sci. China Inf. Sci. 64(3) (2021)- [j36]Hao Guo, Jiuyang Tang, Weixin Zeng, Xiang Zhao, Li Liu:
Multi-modal entity alignment in hyperbolic space. Neurocomputing 461: 598-607 (2021) - [j35]Tianyang Shao, Xinyi Li, Xiang Zhao, Hao Xu, Weidong Xiao:
DSKRL: A dissimilarity-support-aware knowledge representation learning framework on noisy knowledge graph. Neurocomputing 461: 608-617 (2021) - [j34]Aibo Guo, Xiang Zhao, Wubin Ma:
ER-SQL: Learning enhanced representation for Text-to-SQL using table contents. Neurocomputing 465: 359-370 (2021) - [j33]Xuqian Huang, Jiuyang Tang, Zhen Tan, Weixin Zeng, Ji Wang, Xiang Zhao:
Knowledge graph embedding by relational and entity rotation. Knowl. Based Syst. 229: 107310 (2021) - [j32]Yuhan Wang, Weidong Xiao, Zhen Tan, Xiang Zhao:
Caps-OWKG: a capsule network model for open-world knowledge graph. Int. J. Mach. Learn. Cybern. 12(6): 1627-1637 (2021) - [j31]Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xuemin Lin, Paul Groth:
Reinforcement Learning-based Collective Entity Alignment with Adaptive Features. ACM Trans. Inf. Syst. 39(3): 26:1-26:31 (2021) - [j30]Qianzhen Zhang, Deke Guo, Xiang Zhao, Xi Wang:
Continuous matching of evolving patterns over dynamic graph data. World Wide Web 24(3): 721-745 (2021) - [j29]Jinzhi Liao, Xiang Zhao, Jiuyang Tang, Weixin Zeng, Zhen Tan:
To hop or not, that is the question: Towards effective multi-hop reasoning over knowledge graphs. World Wide Web 24(5): 1837-1856 (2021) - [c47]Weixin Zeng, Xiang Zhao, Jiuyang Tang, Changjun Fan:
Reinforced Active Entity Alignment. CIKM 2021: 2477-2486 - [c46]Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xinyi Li, Minnan Luo, Qinghua Zheng:
Towards Entity Alignment in the Open World: An Unsupervised Approach. DASFAA (1) 2021: 272-289 - [c45]Jinzhi Liao, Xiang Zhao, Xinyi Li, Lingling Zhang, Jiuyang Tang:
Learning Discriminative Neural Representations for Event Detection. SIGIR 2021: 644-653 - [i9]Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xuemin Lin, Paul Groth:
Reinforcement Learning based Collective Entity Alignment with Adaptive Features. CoRR abs/2101.01353 (2021) - [i8]Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xinyi Li, Minnan Luo, Qinghua Zheng:
Towards Entity Alignment in the Open World: An Unsupervised Approach. CoRR abs/2101.10535 (2021) - [i7]Hao Guo, Jiuyang Tang, Weixin Zeng, Xiang Zhao, Li Liu:
Multi-modal Entity Alignment in Hyperbolic Space. CoRR abs/2106.03619 (2021) - 2020
- [j28]Lijun Huo, Xiang Zhao:
A Sentence-Based Circular Reasoning Model in Multi-Hop Reading Comprehension. IEEE Access 8: 174255-174264 (2020) - [j27]Ning Pang, Zhen Tan, Xiang Zhao, Weixin Zeng, Weidong Xiao:
Domain relation extraction from noisy Chinese texts. Neurocomputing 418: 21-35 (2020) - [j26]Yifan Chen, Xiang Zhao, Jinyuan Liu, Bin Ge, Wei Ming Zhang:
Item Cold-Start Recommendation with Personalized Feature Selection. J. Comput. Sci. Technol. 35(5): 1217-1230 (2020) - [j25]Yifan Chen, Yang Wang, Xiang Zhao, Hongzhi Yin, Ilya Markov, Maarten de Rijke:
Local Variational Feature-Based Similarity Models for Recommending Top-N New Items. ACM Trans. Inf. Syst. 38(2): 12:1-12:33 (2020) - [j24]Yifan Chen, Yang Wang, Xiang Zhao, Jie Zou, Maarten de Rijke:
Block-Aware Item Similarity Models for Top-N Recommendation. ACM Trans. Inf. Syst. 38(4): 42:1-42:26 (2020) - [c44]Bing Li, Shifeng Liu, Yifang Sun, Wei Wang, Xiang Zhao:
Recursively Binary Modification Model for Nested Named Entity Recognition. AAAI 2020: 8164-8171 - [c43]Shifeng Liu, Yifang Sun, Bing Li, Wei Wang, Xiang Zhao:
HAMNER: Headword Amplified Multi-Span Distantly Supervised Method for Domain Specific Named Entity Recognition. AAAI 2020: 8401-8408 - [c42]Xiang Zhao:
Towards Knowledge Graphs Federations: Issues and Technologies. APWeb/WAIM Workshops 2020: 66-79 - [c41]Xin He, Jiuyang Tang, Zhen Tan, Zheng Yu, Xiang Zhao:
Paperant: Key Elements Generation with New Ideas. APWeb/WAIM (2) 2020: 294-308 - [c40]Lijun Huo, Bin Ge, Xiang Zhao:
Multi-hop Reading Comprehension Incorporating Sentence-Based Reasoning. APWeb/WAIM (1) 2020: 544-557 - [c39]Qianzhen Zhang, Deke Guo, Xiang Zhao, Xinyi Li, Xi Wang:
Seasonal-Periodic Subgraph Mining in Temporal Networks. CIKM 2020: 2309-2312 - [c38]Peixin Huang, Xiang Zhao, Ryuichi Takanobu, Zhen Tan, Weidong Xiao:
Joint Event Extraction with Hierarchical Policy Network. COLING 2020: 2653-2664 - [c37]Weifan Wang, Minnan Luo, Caixia Yan, Meng Wang, Xiang Zhao, Qinghua Zheng:
Cross-Graph Representation Learning for Unsupervised Graph Alignment. DASFAA (2) 2020: 368-384 - [c36]Xi Wang, Qianzhen Zhang, Deke Guo, Xiang Zhao, Jianye Yang:
sf GQAsf RDF: A Graph-Based Approach Towards Efficient SPARQL Query Answering. DASFAA (2) 2020: 551-568 - [c35]Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xuemin Lin:
Collective Entity Alignment via Adaptive Features. ICDE 2020: 1870-1873 - [c34]Aibo Guo, Zhen Tan, Xiang Zhao:
Measuring Triplet Trustworthiness in Knowledge Graphs via Expanded Relation Detection. KSEM (1) 2020: 65-76 - [c33]Ning Pang, Weidong Xiao, Xiang Zhao:
Chinese Text Classification via Bidirectional Lattice LSTM. KSEM (2) 2020: 250-262 - [c32]Weixin Zeng, Xiang Zhao, Jiuyang Tang, Zhen Tan, Xuqian Huang:
CLEEK: A Chinese Long-text Corpus for Entity Linking. LREC 2020: 2026-2035 - [c31]Weixin Zeng, Xiang Zhao, Wei Wang, Jiuyang Tang, Zhen Tan:
Degree-Aware Alignment for Entities in Tail. SIGIR 2020: 811-820 - [c30]Aibo Guo, Qianzhen Zhang, Xiang Zhao:
A Graph-Based Approach Towards Risk Alerting for COVID-19 Spread. SFDI/LSGDA@VLDB 2020: 63-69 - [e2]Gang Li, Heng Tao Shen, Ye Yuan, Xiaoyang Wang, Huawen Liu, Xiang Zhao:
Knowledge Science, Engineering and Management - 13th International Conference, KSEM 2020, Hangzhou, China, August 28-30, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12274, Springer 2020, ISBN 978-3-030-55129-2 [contents] - [e1]Gang Li, Heng Tao Shen, Ye Yuan, Xiaoyang Wang, Huawen Liu, Xiang Zhao:
Knowledge Science, Engineering and Management - 13th International Conference, KSEM 2020, Hangzhou, China, August 28-30, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12275, Springer 2020, ISBN 978-3-030-55392-0 [contents] - [i6]Weixin Zeng, Xiang Zhao, Wei Wang, Jiuyang Tang, Zhen Tan:
Degree-Aware Alignment for Entities in Tail. CoRR abs/2005.12132 (2020) - [i5]Yang Fang, Xiang Zhao, Weidong Xiao:
Exploring Heterogeneous Information Networks via Pre-Training. CoRR abs/2007.03184 (2020)
2010 – 2019
- 2019
- [j23]Weixin Zeng, Jiuyang Tang, Xiang Zhao:
Measuring Entity Relatedness via Entity and Text Joint Embedding. Neural Process. Lett. 50(2): 1861-1875 (2019) - [j22]Yifan Chen, Xiang Zhao, Xuemin Lin, Yang Wang, Deke Guo:
Efficient Mining of Frequent Patterns on Uncertain Graphs. IEEE Trans. Knowl. Data Eng. 31(2): 287-300 (2019) - [j21]Lailong Luo, Deke Guo, Xiang Zhao, Jie Wu, Ori Rottenstreich, Xueshan Luo:
Near-accurate Multiset Reconciliation. IEEE Trans. Knowl. Data Eng. 31(5): 952-964 (2019) - [c29]Muhammad Asif Ali, Yifang Sun, Xiaoling Zhou, Wei Wang, Xiang Zhao:
Antonym-Synonym Classification Based on New Sub-Space Embeddings. AAAI 2019: 6204-6211 - [c28]Zhen Tan, Xiang Zhao, Wei Wang, Weidong Xiao:
Jointly Extracting Multiple Triplets with Multilayer Translation Constraints. AAAI 2019: 7080-7087 - [c27]Qianzhen Zhang, Deke Guo, Xiang Zhao, Aibo Guo:
On Continuously Matching of Evolving Graph Patterns. CIKM 2019: 2237-2240 - [c26]Weixin Zeng, Xiang Zhao, Jiuyang Tang, Jinzhi Liao, Chang-Dong Wang:
Relevance-Based Entity Embedding. DASFAA (3) 2019: 300-304 - [c25]Ning Pang, Weixin Zeng, Jiuyang Tang, Zhen Tan, Xiang Zhao:
Iterative Entity Alignment with Improved Neural Attribute Embedding. DL4KG@ESWC 2019: 41-46 - [c24]Yifan Chen, Xiang Zhao, Jinyuan Liu, Bin Ge, Weiming Zhang:
Learning to Select User-Specific Features for Top-N Recommendation of New Items. ICDE Workshops 2019: 141-147 - [c23]Lailong Luo, Deke Guo, Xiang Zhao, Jie Wu, Ori Rottenstreich, Xueshan Luo:
Near-Accurate Multiset Reconciliation (Extended Abstract). ICDE 2019: 2153-2154 - [c22]Weixin Zeng, Jiuyang Tang, Xiang Zhao:
Iterative Representation Learning for Entity Alignment Leveraging Textual Information. PKDD/ECML Workshops (1) 2019: 489-494 - [c21]Yang Fang, Xiang Zhao, Peixin Huang, Weidong Xiao, Maarten de Rijke:
M-HIN: Complex Embeddings for Heterogeneous Information Networks via Metagraphs. SIGIR 2019: 913-916 - [i4]Muhammad Asif Ali, Yifang Sun, Xiaoling Zhou, Wei Wang, Xiang Zhao:
Antonym-Synonym Classification Based on New Sub-space Embeddings. CoRR abs/1906.05612 (2019) - [i3]Shifeng Liu, Yifang Sun, Bing Li, Wei Wang, Xiang Zhao:
HAMNER: Headword Amplified Multi-span Distantly Supervised Method for Domain Specific Named Entity Recognition. CoRR abs/1912.01731 (2019) - [i2]Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xuemin Lin:
Collective Embedding-based Entity Alignment via Adaptive Features. CoRR abs/1912.08404 (2019) - 2018
- [j20]Zhen Tan, Xiang Zhao, Yang Fang, Weidong Xiao:
GTrans: Generic Knowledge Graph Embedding via Multi-State Entities and Dynamic Relation Spaces. IEEE Access 6: 8232-8244 (2018) - [j19]Weixin Zeng, Xiang Zhao, Jiuyang Tang, Haichuan Shang:
Collective List-Only Entity Linking: A Graph-Based Approach. IEEE Access 6: 16035-16045 (2018) - [j18]Yang Fang, Xiang Zhao, Zhen Tan, Weidong Xiao:
TransPath: Representation Learning for Heterogeneous Information Networks via Translation Mechanism. IEEE Access 6: 20712-20721 (2018) - [j17]Yang Fang, Xiang Zhao, Zhen Tan, Weidong Xiao:
Relational Knowledge Prediction via Dynamic Bi-Mode Embedding. IEEE Access 6: 25715-25723 (2018) - [j16]Weixin Zeng, Jiuyang Tang, Xiang Zhao:
Entity Linking on Chinese Microblogs via Deep Neural Network. IEEE Access 6: 25908-25920 (2018) - [j15]Jinzhi Liao, Jiuyang Tang, Weixin Zeng, Xiang Zhao:
Efficient and Accurate Traffic Flow Prediction via Incremental Tensor Completion. IEEE Access 6: 36897-36905 (2018) - [j14]Jinzhi Liao, Jiuyang Tang, Xiang Zhao, Haichuan Shang:
Improving POI Recommendation via Dynamic Tensor Completion. Sci. Program. 2018: 3907804:1-3907804:11 (2018) - [j13]Zhen Tan, Xiang Zhao, Yang Fang, Bin Ge, Weidong Xiao:
Knowledge Graph Representation via Similarity-Based Embedding. Sci. Program. 2018: 6325635:1-6325635:12 (2018) - [j12]Yang Fang, Xiang Zhao, Zhen Tan, Weidong Xiao:
Network Embedding via a Bi-Mode and Deep Neural Network Model. Symmetry 10(5): 180 (2018) - [j11]Xiaoqiang Teng, Deke Guo, Yulan Guo, Xiang Zhao, Zhong Liu:
SISE: Self-Updating of Indoor Semantic Floorplans for General Entities. IEEE Trans. Mob. Comput. 17(11): 2646-2659 (2018) - [j10]Xiang Zhao, Chuan Xiao, Xuemin Lin, Wenjie Zhang, Yang Wang:
Efficient structure similarity searches: a partition-based approach. VLDB J. 27(1): 53-78 (2018) - [c20]Weixin Zeng, Jiuyang Tang, Xiang Zhao, Bin Ge, Weidong Xiao:
Named Entity Disambiguation via Probabilistic Graphical Model with Embedding Features. ICONIP (3) 2018: 16-27 - 2017
- [j9]Ruiqi Li, Xiang Zhao, Haichuan Shang, Yifan Chen, Weidong Xiao:
Fast top-k similarity join for SimRank. Inf. Sci. 381: 1-19 (2017) - [j8]Le Li, Junyi Xu, Xiang Zhao, Weidong Xiao, Shengze Hu:
Two-phase network generation towards within-network classifiers evaluation. Knowl. Based Syst. 120: 173-185 (2017) - [j7]Yang Wang, Wenjie Zhang, Lin Wu, Xuemin Lin, Xiang Zhao:
Unsupervised Metric Fusion Over Multiview Data by Graph Random Walk-Based Cross-View Diffusion. IEEE Trans. Neural Networks Learn. Syst. 28(1): 57-70 (2017) - [c19]Zhen Tan, Xiang Zhao, Wei Wang:
Representation Learning of Large-Scale Knowledge Graphs via Entity Feature Combinations. CIKM 2017: 1777-1786 - [c18]Bo Li, Xiang Zhao, Shuai Wang, Weihong Lin, Weidong Xiao:
Relation classification using revised convolutional neural networks. ICSAI 2017: 1438-1443 - [c17]Yifan Chen, Xiang Zhao, Maarten de Rijke:
Top-N Recommendation with High-Dimensional Side Information via Locality Preserving Projection. SIGIR 2017: 985-988 - [c16]Ning Pang, Fengjing Yin, Xiaoyu Zhang, Xiang Zhao:
A Robust Approach for Multivariate Time Series Forecasting. SoICT 2017: 106-113 - [c15]Jinzhi Liao, Xiang Zhao, Jiuyang Tang, Chong Zhang, Mingke He:
Efficient and Accurate Traffic Flow Prediction via Fast Dynamic Tensor Completion. TRAP 2017: 69-82 - [c14]Yuheng Wang, Xiang Zhao, Yifan Chen, Wenjie Zhang, Weidong Xiao:
Local Top-N Recommendation via Refined Item-User Bi-Clustering. WISE (2) 2017: 357-371 - 2016
- [j6]Xiang Zhao, Yifan Chen, Chuan Xiao, Yoshiharu Ishikawa, Jiuyang Tang:
Frequent Subgraph Mining Based on Pregel. Comput. J. 59(8): 1113-1128 (2016) - [j5]Yifan Chen, Xiang Zhao, Jiuyang Tang, Wei Ming Zhang, Haichuan Shang:
Taxi-taking recommendation using real-time trajectories: an online query based approach. Comput. Syst. Sci. Eng. 31(2) (2016) - [c13]Yifan Chen, Xiang Zhao, Junjiao Gan, Junkai Ren, Yanli Hu:
Content-Based Top-N Recommendation Using Heterogeneous Relations. ADC 2016: 308-320 - [c12]Zhen Tan, Xiang Zhao, Yang Fang, Weidong Xiao, Jiuyang Tang:
Knowledge Representation Learning via Dynamic Relation Spaces. ICDM Workshops 2016: 684-691 - [i1]Yifan Chen, Xiang Zhao, Junjiao Gan, Junkai Ren, Yang Fang:
Content-Based Top-N Recommendation using Heterogeneous Relations. CoRR abs/1606.08104 (2016) - 2015
- [c11]Haichuan Shang, Xiang Zhao, R. Uday Kiran, Masaru Kitsuregawa:
Towards Scale-out Capability on Social Graphs. CIKM 2015: 253-262 - [c10]Yifan Chen, Xiang Zhao, Xuemin Lin, Yang Wang:
Towards Frequent Subgraph Mining on Single Large Uncertain Graphs. ICDM 2015: 41-50 - 2014
- [c9]Yifan Chen, Xiang Zhao, Bin Ge, Chuan Xiao, Chi-Hung Chi:
Practising Scalable Graph Similarity Joins in MapReduce. BigData Congress 2014: 112-119 - [c8]Xiang Zhao, Chuan Xiao, Wenjie Zhang, Xuemin Lin, Jiuyang Tang:
Improving Performance of Graph Similarity Joins Using Selected Substructures. DASFAA (1) 2014: 156-172 - 2013
- [j4]Lin Wu, Yang Wang, John Shepherd, Xiang Zhao:
Max-sum diversification on image ranking with non-uniform matroid constraints. Neurocomputing 118: 10-20 (2013) - [j3]Qing Liu, Xiang Zhao, Kerry Taylor, Xuemin Lin, Geoffrey Squire, Corne Kloppers, Richard Miller:
Towards semantic comparison of multi-granularity process traces. Knowl. Based Syst. 52: 91-106 (2013) - [j2]Xiang Zhao, Chuan Xiao, Xuemin Lin, Qing Liu, Wenjie Zhang:
A Partition-Based Approach to Structure Similarity Search. Proc. VLDB Endow. 7(3): 169-180 (2013) - [j1]Xiang Zhao, Chuan Xiao, Xuemin Lin, Wei Wang, Yoshiharu Ishikawa:
Efficient processing of graph similarity queries with edit distance constraints. VLDB J. 22(6): 727-752 (2013) - [c7]Xing Feng, Xiang Zhao, Yunjun Gao, Ying Zhang:
Probabilistic Top-k Dominating Query over Sliding Windows. APWeb 2013: 782-793 - [c6]Xiang Zhao, Bin Ge, Jiuyang Tang, Weidong Xiao, Haichuan Shang:
Provenance comparison for large-scale knowledge discovery. IEEE BigData 2013: 68-75 - [c5]Xiang Zhao, Haichuan Shang, Wenjie Zhang, Xuemin Lin, Weidong Xiao:
On Efficient Graph Substructure Selection. DASFAA (2) 2013: 284-300 - [c4]Lin Wu, Yang Wang, John Shepherd, Xiang Zhao:
An Optimization Method for Proportionally Diversifying Search Results. PAKDD (1) 2013: 390-401 - [c3]Qing Liu, Kerry Taylor, Xiang Zhao, Geoffrey Squire, Xuemin Lin, Corne Kloppers, Richard Miller:
CTrace: semantic comparison of multi-granularity process traces. SIGMOD Conference 2013: 1121-1124 - 2012
- [c2]Xiang Zhao, Chuan Xiao, Xuemin Lin, Wei Wang:
Efficient Graph Similarity Joins with Edit Distance Constraints. ICDE 2012: 834-845
2000 – 2009
- 2009
- [c1]Yang Sun, Xiang Zhao, Daquan Tang, Weidong Xiao:
A Memory-Saving and Efficient Data Transformation Technique for Mixed Data Sets Visualization. IV 2009: 260-265
Coauthor Index
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