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ORCIDWei Hu 0007
Person information
- affiliation: Nanjing University, State Key Laboratory for Novel Software Technology, China
- affiliation (PhD 2009): Southeast University, School of Computer Science and Engineering, Nanjing, China
Other persons with the same name
- Wei Hu — disambiguation page
- Wei Hu 0001
![[0000-0003-1204-8880]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-1204-8880")
— Wuhan University of Science and Technology, College of Computer Science and Technology, China (and 1 more) - Wei Hu 0002 — Intel Labs China, Beijing, China
- Wei Hu 0003 — Peking University, Institute of Computer Science and Technology, Beijing, China (and 2 more)
- Wei Hu 0004 — Beijing University of Chemical Technology, College of Information Science and Technology, China
- Wei Hu 0005 — Nanjing University, College of Engineering and Applied Sciences / National Laboratory of Solid State Microstructures, China
- Wei Hu 0006 — Lawrence Berkeley National Laboratory, Computational Research Division, CA, USA
- Wei Hu 0008 — University of California San Diego, Department of Computer Science and Engineering, La Jolla, CA, USA (and 1 more)
- Wei Hu 0009 — Xiamen University, Department of Communication Engineering, China
- Wei Hu 0010 — Wuhan University, School of Resource and Environmental Sciences, China
- Wei Hu 0011 — Zhejiang University, College of Electrical Engineering, Hangzhou, China
- Wei Hu 0012 — National University of Defense Technology, College of Computer, Changsha, China (and 1 more)
- Wei Hu 0013 — École centrale de Lille, CRIStAL, Villeneuve-d'Ascq, France
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2020 – today
- 2023
[j23]Jiacheng Huang, Zequn Sun, Qijin Chen, Xiaozhou Xu, Weijun Ren, Wei Hu:
Deep Active Alignment of Knowledge Graph Entities and Schemata. Proc. ACM Manag. Data 1(2): 159:1-159:26 (2023)- [j22]Zequn Sun, Wei Hu, Chengming Wang, Yuxin Wang, Yuzhong Qu:
Revisiting Embedding-Based Entity Alignment: A Robust and Adaptive Method. IEEE Trans. Knowl. Data Eng. 35(8): 8461-8475 (2023) - [j21]Jiacheng Huang, Wei Hu, Zhifeng Bao, Qijin Chen, Yuzhong Qu:
Deep entity matching with adversarial active learning. VLDB J. 32(1): 229-255 (2023) - [c73]Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han, Wei Hu:
Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs. AAAI 2023: 4217-4224 - [c72]Zequn Sun, Jiacheng Huang, Xiaozhou Xu, Qijin Chen, Weijun Ren, Wei Hu:
What Makes Entities Similar? A Similarity Flooding Perspective for Multi-sourced Knowledge Graph Embeddings. ICML 2023: 32875-32885 - [c71]Yu-Xuan Huang, Zequn Sun, Guangyao Li, Xiaobin Tian, Wang-Zhou Dai, Wei Hu, Yuan Jiang, Zhi-Hua Zhou:
Enabling Abductive Learning to Exploit Knowledge Graph. IJCAI 2023: 3839-3847 - [c70]Zequn Sun, Jiacheng Huang, Jinghao Lin, Xiaozhou Xu, Qijin Chen, Wei Hu:
Joint Pre-training and Local Re-training: Transferable Representation Learning on Multi-source Knowledge Graphs. KDD 2023: 2132-2144 - [c69]Xiangrong Zhu, Guangyao Li, Wei Hu:
Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning. WWW 2023: 2444-2454 - [c68]Ziyang Li, Yu Gu, Yulin Shen, Wei Hu, Gong Cheng:
TRAVERS: A Diversity-Based Dynamic Approach to Iterative Relevance Search over Knowledge Graphs. WWW 2023: 2560-2571 - [i36]Xiangrong Zhu, Guangyao Li, Wei Hu:
Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning. CoRR abs/2302.02069 (2023) - [i35]Jiacheng Huang, Zequn Sun, Qijin Chen, Xiaozhou Xu, Weijun Ren, Wei Hu:
Deep Active Alignment of Knowledge Graph Entities and Schemata. CoRR abs/2304.04389 (2023) - [i34]Zequn Sun, Jiacheng Huang, Xiaozhou Xu, Qijin Chen, Weijun Ren, Wei Hu:
What Makes Entities Similar? A Similarity Flooding Perspective for Multi-sourced Knowledge Graph Embeddings. CoRR abs/2306.02622 (2023) - [i33]Zequn Sun, Jiacheng Huang, Jinghao Lin, Xiaozhou Xu, Qijin Chen, Wei Hu:
Joint Pre-training and Local Re-training: Transferable Representation Learning on Multi-source Knowledge Graphs. CoRR abs/2306.02679 (2023) - 2022
- [j20]Jiwei Ding, Wei Hu, Xin Yu, Yuzhong Qu:
An empirical study of representing adjectives over knowledge bases: Approach, lexicon and application. J. Web Semant. 72: 100681 (2022) - [c67]Kexuan Xin, Zequn Sun, Wen Hua, Bing Liu, Wei Hu, Jianfeng Qu, Xiaofang Zhou:
Ensemble Semi-supervised Entity Alignment via Cycle-Teaching. AAAI 2022: 4281-4289 - [c66]Yao Zhao, Jiacheng Huang, Wei Hu, Qijin Chen, Xiaoxia Qiu, Chengfu Huo, Weijun Ren:
Implicit Relation Linking for Question Answering over Knowledge Graph. ACL (Findings) 2022: 3956-3968 - [c65]Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han, Wei Hu:
Inductive Knowledge Graph Reasoning for Multi-batch Emerging Entities. CIKM 2022: 335-344 - [c64]Yang Liu, Zequn Sun, Guangyao Li, Wei Hu:
I Know What You Do Not Know: Knowledge Graph Embedding via Co-distillation Learning. CIKM 2022: 1329-1338 - [c63]Kexuan Xin, Zequn Sun, Wen Hua, Wei Hu, Jianfeng Qu, Xiaofang Zhou:
Large-scale Entity Alignment via Knowledge Graph Merging, Partitioning and Embedding. CIKM 2022: 2240-2249 - [c62]Lingbing Guo, Qiang Zhang, Zequn Sun, Mingyang Chen, Wei Hu, Huajun Chen:
Understanding and Improving Knowledge Graph Embedding for Entity Alignment. ICML 2022: 8145-8156 - [c61]Wei Cheng, Xiangrong Zhu, Wei Hu:
Conflict-aware Inference of Python Compatible Runtime Environments with Domain Knowledge Graph. ICSE 2022: 451-461 - [c60]Xinyi Wang, Zitao Wang, Weijian Sun, Wei Hu:
Enhancing Document-Level Relation Extraction by Entity Knowledge Injection. ISWC 2022: 39-56 - [c59]Yuxin Wang, Yuanning Cui, Wenqiang Liu, Zequn Sun, Yiqiao Jiang, Kexin Han, Wei Hu:
Facing Changes: Continual Entity Alignment for Growing Knowledge Graphs. ISWC 2022: 196-213 - [c58]Xindi Luo, Zequn Sun, Wei Hu:
μ KG: A Library for Multi-source Knowledge Graph Embeddings and Applications. ISWC 2022: 610-627 - [c57]Kexuan Xin, Zequn Sun, Wen Hua, Wei Hu, Xiaofang Zhou:
Informed Multi-context Entity Alignment. WSDM 2022: 1197-1205 - [c56]Jiacheng Huang, Yao Zhao, Wei Hu, Zhen Ning, Qijin Chen, Xiaoxia Qiu, Chengfu Huo, Weijun Ren:
Trustworthy Knowledge Graph Completion Based on Multi-sourced Noisy Data. WWW 2022: 956-965 - [e1]Ningyu Zhang, Meng Wang, Tianxing Wu, Wei Hu, Shumin Deng:
CCKS 2022 - Evaluation Track - 7th China Conference on Knowledge Graph and Semantic Computing Evaluations, CCKS 2022, Qinhuangdao, China, August 24-27, 2022, Revised Selected Papers. Communications in Computer and Information Science 1711, Springer 2022, ISBN 978-981-19-8299-6 [contents] - [i32]Kexuan Xin, Zequn Sun, Wen Hua, Wei Hu, Xiaofang Zhou:
Informed Multi-context Entity Alignment. CoRR abs/2201.00304 (2022) - [i31]Wei Cheng, Xiangrong Zhu, Wei Hu:
Conflict-aware Inference of Python Compatible Runtime Environments with Domain Knowledge Graph. CoRR abs/2201.07029 (2022) - [i30]Jiacheng Huang, Yao Zhao, Wei Hu, Zhen Ning, Qijin Chen, Xiaoxia Qiu, Chengfu Huo, Weijun Ren:
Trustworthy Knowledge Graph Completion Based on Multi-sourced Noisy Data. CoRR abs/2201.08580 (2022) - [i29]Kexuan Xin, Zequn Sun, Wen Hua, Bing Liu, Wei Hu, Jianfeng Qu, Xiaofang Zhou:
Ensemble Semi-supervised Entity Alignment via Cycle-teaching. CoRR abs/2203.06308 (2022) - [i28]Xinyi Wang, Zitao Wang, Weijian Sun, Wei Hu:
Enhancing Document-level Relation Extraction by Entity Knowledge Injection. CoRR abs/2207.11433 (2022) - [i27]Yuxin Wang, Yuanning Cui, Wenqiang Liu, Zequn Sun, Yiqiao Jiang, Kexin Han, Wei Hu:
Facing Changes: Continual Entity Alignment for Growing Knowledge Graphs. CoRR abs/2207.11436 (2022) - [i26]Xindi Luo, Zequn Sun, Wei Hu:
μKG: A Library for Multi-source Knowledge Graph Embeddings and Applications. CoRR abs/2207.11442 (2022) - [i25]Yang Liu, Zequn Sun, Guangyao Li, Wei Hu:
I Know What You Do Not Know: Knowledge Graph Embedding via Co-distillation Learning. CoRR abs/2208.09828 (2022) - [i24]Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han, Wei Hu:
Inductive Knowledge Graph Reasoning for Multi-batch Emerging Entities. CoRR abs/2208.10378 (2022) - [i23]Kexuan Xin, Zequn Sun, Wen Hua, Wei Hu, Jianfeng Qu, Xiaofang Zhou:
Large-scale Entity Alignment via Knowledge Graph Merging, Partitioning and Embedding. CoRR abs/2208.11125 (2022) - [i22]Xiaobin Tian, Zequn Sun, Guangyao Li, Wei Hu:
EventEA: Benchmarking Entity Alignment for Event-centric Knowledge Graphs. CoRR abs/2211.02817 (2022) - [i21]Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han, Wei Hu:
Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs. CoRR abs/2211.15845 (2022) - 2021
- [j19]Guangyao Li, Zequn Sun, Lei Qian, Qiang Guo, Wei Hu:
Rule-based data augmentation for knowledge graph embedding. AI Open 2: 186-196 (2021) - [j18]Jidong Ge, Yunyun Huang, Xiaoyu Shen, Chuanyi Li, Wei Hu:
Learning Fine-Grained Fact-Article Correspondence in Legal Cases. IEEE ACM Trans. Audio Speech Lang. Process. 29: 3694-3706 (2021) - [c55]Zequn Sun, Muhao Chen, Wei Hu:
Knowing the No-match: Entity Alignment with Dangling Cases. ACL/IJCNLP (1) 2021: 3582-3593 - [c54]Kailong Hao, Botao Yu, Wei Hu:
Knowing False Negatives: An Adversarial Training Method for Distantly Supervised Relation Extraction. EMNLP (1) 2021: 9661-9672 - [i20]Zequn Sun, Muhao Chen, Wei Hu:
Knowing the No-match: Entity Alignment with Dangling Cases. CoRR abs/2106.02248 (2021) - [i19]Kailong Hao, Botao Yu, Wei Hu:
Knowing False Negatives: An Adversarial Training Method for Distantly Supervised Relation Extraction. CoRR abs/2109.02099 (2021) - [i18]Lingbing Guo, Zequn Sun, Mingyang Chen, Wei Hu, Qiang Zhang, Huajun Chen:
Principled Representation Learning for Entity Alignment. CoRR abs/2110.10871 (2021) - 2020
- [j17]Zequn Sun, Qingheng Zhang, Wei Hu, Chengming Wang, Muhao Chen, Farahnaz Akrami, Chengkai Li:
A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs. Proc. VLDB Endow. 13(11): 2326-2340 (2020) - [c53]Zequn Sun, Chengming Wang, Wei Hu, Muhao Chen, Jian Dai, Wei Zhang, Yuzhong Qu:
Knowledge Graph Alignment Network with Gated Multi-Hop Neighborhood Aggregation. AAAI 2020: 222-229 - [c52]Shengguang Qiu, Botao Yu, Lei Qian, Qiang Guo, Wei Hu:
Joint Reasoning of Events, Participants and Locations for Plot Relation Recognition. APWeb/WAIM (1) 2020: 700-715 - [c51]Difeng Wang, Wei Hu, Ermei Cao, Weijian Sun:
Global-to-Local Neural Networks for Document-Level Relation Extraction. EMNLP (1) 2020: 3711-3721 - [c50]Zequn Sun, Muhao Chen, Wei Hu, Chengming Wang, Jian Dai, Wei Zhang:
Knowledge Association with Hyperbolic Knowledge Graph Embeddings. EMNLP (1) 2020: 5704-5716 - [c49]Jiacheng Huang, Wei Hu, Zhifeng Bao, Yuzhong Qu:
Crowdsourced Collective Entity Resolution with Relational Match Propagation. ICDE 2020: 37-48 - [c48]Xinze Lyu, Guangyao Li, Jiacheng Huang, Wei Hu:
Rule-Guided Graph Neural Networks for Recommender Systems. ISWC (1) 2020: 384-401 - [c47]Farahnaz Akrami, Mohammed Samiul Saeef, Qingheng Zhang, Wei Hu, Chengkai Li:
Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study. SIGMOD Conference 2020: 1995-2010 - [c46]Ermei Cao, Difeng Wang, Jiacheng Huang, Wei Hu:
Open Knowledge Enrichment for Long-tail Entities. WWW 2020: 384-394 - [i17]Ermei Cao, Difeng Wang, Jiacheng Huang, Wei Hu:
Open Knowledge Enrichment for Long-tail Entities. CoRR abs/2002.06397 (2020) - [i16]Jiacheng Huang, Wei Hu, Zhifeng Bao, Yuzhong Qu:
Crowdsourced Collective Entity Resolution with Relational Match Propagation. CoRR abs/2002.09361 (2020) - [i15]Zequn Sun, Qingheng Zhang, Wei Hu, Chengming Wang, Muhao Chen, Farahnaz Akrami, Chengkai Li:
A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs. CoRR abs/2003.07743 (2020) - [i14]Farahnaz Akrami, Mohammed Samiul Saeef, Qingheng Zhang, Wei Hu, Chengkai Li:
Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study. CoRR abs/2003.08001 (2020) - [i13]Zequn Sun, Jiacheng Huang, Wei Hu, Muchao Chen, Lingbing Guo, Yuzhong Qu:
TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs. CoRR abs/2004.13579 (2020) - [i12]Xinze Lyu, Guangyao Li, Jiacheng Huang, Wei Hu:
Rule-Guided Graph Neural Networks for Recommender Systems. CoRR abs/2009.04104 (2020) - [i11]Difeng Wang, Wei Hu, Ermei Cao, Weijian Sun:
Global-to-Local Neural Networks for Document-Level Relation Extraction. CoRR abs/2009.10359 (2020) - [i10]Zequn Sun, Muhao Chen, Wei Hu, Chengming Wang, Jian Dai, Wei Zhang:
Knowledge Association with Hyperbolic Knowledge Graph Embeddings. CoRR abs/2010.02162 (2020) - [i9]Lingbing Guo, Weiqing Wang, Zequn Sun, Chenghao Liu, Wei Hu:
Decentralized Knowledge Graph Representation Learning. CoRR abs/2010.08114 (2020)
2010 – 2019
- 2019
- [j16]Lingbing Guo, Qingheng Zhang, Wei Hu, Zequn Sun, Yuzhong Qu:
Learning to Complete Knowledge Graphs with Deep Sequential Models. Data Intell. 1(3): 289-308 (2019) - [j15]Amrapali Zaveri, Wei Hu, Michel Dumontier:
MetaCrowd: Crowdsourcing Biomedical Metadata Quality Assessment. Hum. Comput. 6: 98-112 (2019) - [j14]Wenqiang Liu, Jun Liu, Bifan Wei, Haimeng Duan, Wei Hu:
A new truth discovery method for resolving object conflicts over Linked Data with scale-free property. Knowl. Inf. Syst. 59(2): 465-495 (2019) - [c45]Yao Zhao, Zhuoming Xu, Wei Hu:
Leveraging Context Information for Joint Entity and Relation Linking. APWeb/WAIM Workshops 2019: 23-36 - [c44]Jiwei Ding, Wei Hu, Qixin Xu, Yuzhong Qu:
Leveraging Frequent Query Substructures to Generate Formal Queries for Complex Question Answering. EMNLP/IJCNLP (1) 2019: 2614-2622 - [c43]Lingbing Guo, Zequn Sun, Wei Hu:
Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs. ICML 2019: 2505-2514 - [c42]Qingheng Zhang, Zequn Sun, Wei Hu, Muhao Chen, Lingbing Guo, Yuzhong Qu:
Multi-view Knowledge Graph Embedding for Entity Alignment. IJCAI 2019: 5429-5435 - [c41]Xinze Lyu, Wei Hu:
RQE: Rule-Driven Query Expansion to Solve Empty Answers in SPARQL. JIST (2) 2019: 145-160 - [c40]Jiwei Ding, Wei Hu, Qixin Xu, Yuzhong Qu:
Mapping Factoid Adjective Constraints to Existential Restrictions over Knowledge Bases. ISWC (1) 2019: 164-181 - [c39]Wei Hu, Qingheng Zhang, Zequn Sun, Jiacheng Huang:
MultiKE: a Multi-view Knowledge Graph Embedding Framework for Entity Alignment. OM@ISWC 2019: 189-190 - [c38]Zequn Sun, Jiacheng Huang, Wei Hu, Muhao Chen, Lingbing Guo, Yuzhong Qu:
TransEdge: Translating Relation-Contextualized Embeddings for Knowledge Graphs. ISWC (1) 2019: 612-629 - [i8]Lingbing Guo, Zequn Sun, Wei Hu:
Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs. CoRR abs/1905.04914 (2019) - [i7]Qingheng Zhang, Zequn Sun, Wei Hu, Muhao Chen, Lingbing Guo, Yuzhong Qu:
Multi-view Knowledge Graph Embedding for Entity Alignment. CoRR abs/1906.02390 (2019) - [i6]Jiwei Ding, Wei Hu, Qixin Xu, Yuzhong Qu:
Leveraging Frequent Query Substructures to Generate Formal Queries for Complex Question Answering. CoRR abs/1908.11053 (2019) - [i5]Zequn Sun, Chengming Wang, Wei Hu, Muhao Chen, Jian Dai, Wei Zhang, Yuzhong Qu:
Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation. CoRR abs/1911.08936 (2019) - 2018
- [j13]Wenqiang Liu, Jun Liu, Mengmeng Wu, Samar Abbas, Wei Hu, Bifan Wei, Qinghua Zheng:
Representation learning over multiple knowledge graphs for knowledge graphs alignment. Neurocomputing 320: 12-24 (2018) - [j12]Saisai Gong, Wei Hu, Haoxuan Li, Yuzhong Qu:
Property Clustering in Linked Data: An Empirical Study and Its Application to Entity Browsing. Int. J. Semantic Web Inf. Syst. 14(1): 31-70 (2018) - [j11]Saisai Gong, Wei Hu, Weiyi Ge, Yuzhong Qu:
Modeling Topic-Based Human Expertise for Crowd Entity Resolution. J. Comput. Sci. Technol. 33(6): 1204-1218 (2018) - [c37]Lingbing Guo, Qingheng Zhang, Weiyi Ge, Wei Hu, Yuzhong Qu:
DSKG: A Deep Sequential Model for Knowledge Graph Completion. CCKS 2018: 65-77 - [c36]Farahnaz Akrami, Lingbing Guo, Wei Hu, Chengkai Li:
Re-evaluating Embedding-Based Knowledge Graph Completion Methods. CIKM 2018: 1779-1782 - [c35]Jiwei Ding, Yuan Wang, Wei Hu, Linfeng Shi, Yuzhong Qu:
Answering Multiple-Choice Questions in Geographical Gaokao with a Concept Graph. ESWC 2018: 161-176 - [c34]Zequn Sun, Wei Hu, Qingheng Zhang, Yuzhong Qu:
Bootstrapping Entity Alignment with Knowledge Graph Embedding. IJCAI 2018: 4396-4402 - [c33]Jiacheng Huang, Wei Hu, Haoxuan Li, Yuzhong Qu:
Automated Comparative Table Generation for Facilitating Human Intervention in Multi-Entity Resolution. SIGIR 2018: 585-594 - [i4]Lingbing Guo, Qingheng Zhang, Weiyi Ge, Wei Hu, Yuzhong Qu:
DSKG: A Deep Sequential Model for Knowledge Graph Completion. CoRR abs/1810.12582 (2018) - [i3]Lingbing Guo, Zequn Sun, Ermei Cao, Wei Hu:
Recurrent Skipping Networks for Entity Alignment. CoRR abs/1811.02318 (2018) - 2017
- [j10]Wei Hu, Honglei Qiu, Jiacheng Huang, Michel Dumontier:
BioSearch: a semantic search engine for Bio2RDF. Database J. Biol. Databases Curation 2017: bax059 (2017) - [j9]Wei Hu, Amrapali Zaveri, Honglei Qiu, Michel Dumontier:
Cleaning by clustering: methodology for addressing data quality issues in biomedical metadata. BMC Bioinform. 18(1): 415:1-415:12 (2017) - [j8]Dillon Chrimes, Mu-Hsing Kuo, Belaid Moa, Wei Hu:
Towards a real-time big data analytics platform for health applications. Int. J. Big Data Intell. 4(2): 61-80 (2017) - [c32]Wenqiang Liu, Jun Liu, Haimeng Duan, Wei Hu, Bifan Wei:
Exploiting Source-Object Networks to Resolve Object Conflicts in Linked Data. ESWC (1) 2017: 53-67 - [c31]Xinze Lyu, Qingheng Zhang, Wei Hu, Zequn Sun, Yuzhong Qu:
njuLink: results for instance matching at OAEI 2017. OM@ISWC 2017: 158-165 - [c30]Meng Wang, Jiaheng Zhang, Jun Liu, Wei Hu, Sen Wang, Xue Li, Wenqiang Liu:
PDD Graph: Bridging Electronic Medical Records and Biomedical Knowledge Graphs via Entity Linking. ISWC (2) 2017: 219-227 - [c29]Zequn Sun, Wei Hu, Chengkai Li:
Cross-Lingual Entity Alignment via Joint Attribute-Preserving Embedding. ISWC (1) 2017: 628-644 - [c28]Wenqiang Liu, Jun Liu, Haimeng Duan, Jian Zhang, Wei Hu, Bifan Wei:
TruthDiscover: Resolving Object Conflicts on Massive Linked Data. WWW (Companion Volume) 2017: 243-246 - [i2]Meng Wang, Jiaheng Zhang, Jun Liu, Wei Hu, Sen Wang, Xue Li, Wenqiang Liu:
PDD Graph: Bridging Electronic Medical Records and Biomedical Knowledge Graphs via Entity Linking. CoRR abs/1707.05340 (2017) - [i1]Zequn Sun, Wei Hu, Chengkai Li:
Cross-lingual Entity Alignment via Joint Attribute-Preserving Embedding. CoRR abs/1708.05045 (2017) - 2016
- [c27]Saisai Gong, Haoxuan Li, Wei Hu, Yuzhong Qu:
An Empirical Study on Property Clustering in Linked Data. JIST (Workshops & Posters) 2016: 66-69 - [c26]Saisai Gong, Haoxuan Li, Wei Hu, Yuzhong Qu:
An Empirical Study on Property Clustering in Linked Data. JIST 2016: 67-82 - [c25]Wei Hu, Haoxuan Li, Zequn Sun, Xinqi Qian, Lingkun Xue, Ermei Cao, Yuzhong Qu:
Clinga: Bringing Chinese Physical and Human Geography in Linked Open Data. ISWC (2) 2016: 104-112 - 2015
- [j7]Li Zhu, Wei Hu:
Ontology-based metadata matching for emergency decision-making using MapReduce. Int. J. Metadata Semant. Ontologies 10(2): 75-83 (2015) - [j6]Wei Hu, Cunxin Jia:
A bootstrapping approach to entity linkage on the Semantic Web. J. Web Semant. 34: 1-12 (2015) - [c24]Jiwei Ding, Wentao Ding, Wei Hu, Yuzhong Qu:
An EBMC-Based Approach to Selecting Types for Entity Filtering. AAAI 2015: 88-94 - [c23]Weiyi Ge, Wei Hu, ChengLong He, Shiqiang Zong:
Emerging Pragmatic Patterns in Large-Scale RDF Data. CloudCom-Asia 2015: 247-260 - [c22]Wei Hu, Honglei Qiu, Michel Dumontier:
Link Analysis of Life Science Linked Data. ISWC (2) 2015: 446-462 - [c21]Mu-Hsing Kuo, Dillon Chrimes, Belaid Moa, Wei Hu:
Design and Construction of a Big Data Analytics Framework for Health Applications. SmartCity 2015: 631-636 - 2014
- [j5]Wei Hu, Rui Yang, Yuzhong Qu:
Automatically generating data linkages using class-based discriminative properties. Data Knowl. Eng. 91: 34-51 (2014) - [c20]Rong Gu, Wei Hu, Yihua Huang:
Rainbow: A distributed and hierarchical RDF triple store with dynamic scalability. IEEE BigData 2014: 561-566 - [c19]Saisai Gong, Wei Hu, Yuzhong Qu:
Leveraging Distributed Human Computation and Consensus Partition for Entity Coreference. ESWC 2014: 411-425 - [c18]Wei Hu, Cunxin Jia, Lei Wan, Liang He, Lixia Zhou, Yuzhong Qu:
CAMO: Integration of Linked Open Data for Multimedia Metadata Enrichment. ISWC (1) 2014: 1-16 - 2013
- [c17]Da Huang, Wei Hu:
An Ontology-Based Approach to Extracting Semantic Relations from Descriptive Text. CSWS 2013: 23-36 - [c16]Chuanlei Ni, Wei Hu, Yuzhong Qu:
A Subject Partitioning Based SPARQL Query Engine and Its NoSQL Implementation. CSWS 2013: 98-105 - 2012
- [j4]Hang Zhang, Wei Hu, Yuzhong Qu:
VDoc+: a virtual document based approach for matching large ontologies using MapReduce. J. Zhejiang Univ. Sci. C 13(4): 257-267 (2012) - [c15]Rui Yang, Wei Hu, Yuzhong Qu:
Using Semantic Technology to Improve Recommender Systems Based on Slope One. CSWS 2012: 11-23 - 2011
- [j3]Wei Hu, Yuzhong Qu, Xingzhi Sun:
Bootstrapping Object Coreferencing on the Semantic Web. J. Comput. Sci. Technol. 26(4): 663-675 (2011) - [c14]Hang Zhang, Wei Hu, Yuzhong Qu:
Constructing Virtual Documents for Ontology Matching Using MapReduce. JIST 2011: 48-63 - [c13]Wei Hu, Jianfeng Chen, Hang Zhang, Yuzhong Qu:
Learning Complex Mappings between Ontologies. JIST 2011: 350-357 - [c12]Wei Hu, Jianfeng Chen, Hang Zhang, Yuzhong Qu:
How Matchable Are Four Thousand Ontologies on the Semantic Web. ESWC (1) 2011: 290-304 - [c11]