知识图谱是融合知识表示与推理 (AAAI, IJCAI)、语义网 (WWW, ISWC, JoWS) 与自然语言处理 (ACL, EMNLP)、数据库 (SIGMOD, VLDB, ICDE, VLDB J) 与信息检索 (SIGIR)、机器学习 (ICML, NeurIPS, TNNLS) 与数据挖掘 (KDD, TKDE) 等方向交叉的关键共性技术。

标记：$^\star$通讯作者；$^\dagger$共同一作；$^\triangle$外单位合作者

1. Jiacheng Huang, Zequn Sun, Qijin Chen$^\triangle$, Xiaozhou Xu$^\triangle$, Weijun Ren$^\triangle$, Wei Hu$^\star$.
   Deep active alignment of knowledge graph entities and schemata.
   In: SIGMOD, 1(2):159, 2023. arXiv GitHub
2. Zequn Sun, Jiacheng Huang, Jinghao Lin$^\triangle$, Xiaozhou Xu$^\triangle$, Qijin Chen$^\triangle$, Wei Hu$^\star$.
   Joint pre-training and local re-training: Transferable representation learning on multi-source knowledge graphs.
   In: KDD, 2132–2144, 2023. arXiv GitHub
3. Zequn Sun, Jiacheng Huang, Xiaozhou Xu$^\triangle$, Qijin Chen$^\triangle$, Weijun Ren$^\triangle$, Wei Hu$^\star$.
   What makes entities similar? A similarity flooding perspective for multi-sourced knowledge graph embeddings.
   In: ICML, 2023. arXiv GitHub
4. Xiangrong Zhu, Guangyao Li, Wei Hu$^\star$.
   Heterogeneous federated knowledge graph embedding learning and unlearning.
   In: WWW, 2444–2454, 2023. arXiv GitHub
5. Wenzheng Zhao, Yuanning Cui, Wei Hu$^\star$.
   Improving continual relation extraction by distinguishing analogous semantics.
   In: ACL, 1162–1175, 2023. arXiv GitHub
6. Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu$^\triangle$, Yiqiao Jiang$^\triangle$, Kexin Han$^\triangle$, Wei Hu$^\star$.
   Lifelong embedding learning and transfer for growing knowledge graphs.
   In: AAAI, 4217–4224, 2023. arXiv GitHub
7. 孙泽群, 崔员宁, 胡伟$^\star$.
   基于链接实体回放的多源知识图谱终身表示学习.
   软件学报 (知识赋能的信息系统专刊), 2023. GitHub
8. Guangyao Li, Zequn Sun, Wei Hu$^\star$, Gong Cheng, Yuzhong Qu.
   Position-aware relational transformer for knowledge graph embedding.
   IEEE Transactions on Neural Networks and Learning Systems, 2023. IEEE GitHub
9. Zitao Wang, Xinyi Wang, Wei Hu$^\star$.
   Continual event extraction with semantic confusion rectification.
   In: EMNLP, 2023.
10. Xinyi Wang, Zitao Wang, Wei Hu$^\star$.
    Serial contrastive knowledge distillation for continual few-shot relation extraction.
    In: Findings of ACL, 12693–12706, 2023. arXiv GitHub
11. Yuxin Wang, Jieru Lin$^\triangle$, Zhiwei Yu$^\triangle$, Wei Hu$^\star$, Börje F. Karlsson$^\triangle$.
    Open-world story generation with structured knowledge enhancement: A comprehensive survey.
    Neurocomputing, 2023. Elsevier
12. 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.
    In: IJCAI, 3839–3847, 2023.
13. Ziyang Li, Yu Gu$^\triangle$, Yulin Shen, Wei Hu, Gong Cheng$^\star$.
    TRAVERS: A diversity-based dynamic approach to iterative relevance search over knowledge graphs.
    In: WWW, 2560–2571, 2023.
14. Haipeng Dai, Lei Meng, Hancheng Wang, Rong Gu, Siwen Chen, Feng Chen, Wei Hu$^\star$.
    Distantly supervised entity linking with selection consistency constraint.
    In: DASFAA, 784–799, 2023.

1. Zequn Sun, Wei Hu$^\star$, Chengming Wang, Yuxin Wang, Yuzhong Qu.
   Revisiting embedding-based entity alignment: A robust and adaptive method.
   IEEE Transactions on Knowledge and Data Engineering, 2022. IEEE GitHub
2. Jiacheng Huang, Wei Hu$^\star$, Zhifeng Bao$^\triangle$, Qijin Chen$^\triangle$, Yuzhong Qu.
   Deep entity matching with adversarial active learning.
   The VLDB Journal, 2022. Springer GitHub
3. Wei Cheng, Xiangrong Zhu, Wei Hu$^\star$.
   Conflict-aware inference of Python compatible runtime environments with domain knowledge graph.
   In: ICSE, 451–461, 2022. arXiv GitHub
4. Jiacheng Huang, Yao Zhao, Wei Hu$^\star$, Zhen Ning$^\triangle$, Qijin Chen$^\triangle$, Xiaoxia Qiu$^\triangle$, Chengfu Huo$^\triangle$, Weijun Ren$^\triangle$.
   Trustworthy knowledge graph completion based on multi-sourced noisy data.
   In: TheWebConf (WWW), 956–965, 2022. arXiv GitHub
5. Botao Yu, Peiling Lu$^\triangle$, Rui Wang$^\triangle$, Wei Hu$^\star$, Xu Tan$^{\triangle,\star}$, Wei Ye$^\triangle$, Shikun Zhang$^\triangle$, Tao Qin$^\triangle$, Tie-Yan Liu$^\triangle$.
   Museformer: Transformer with fine- and coarse-grained attention for music generation.
   In: NeurIPS, 2022. arXiv GitHub
6. 朱向荣, 吴鸿祜, 胡伟$^\star$.
   FactChain：一个基于区块链的众包知识融合系统.
   软件学报 (智慧信息系统新技术专刊), 33(10):3546–3564, 2022.
7. Xinyi Wang, Zitao Wang, Weijian Sun$^\triangle$, Wei Hu$^\star$.
   Enhancing document-level relation extraction by entity knowledge injection.
   In: ISWC, 39–56, 2022. arXiv GitHub
8. Yuxin Wang, Yuanning Cui, Wenqiang Liu$^\triangle$, Zequn Sun, Yiqiao Jiang$^\triangle$, Kexin Han$^\triangle$, Wei Hu$^\star$.
   Facing changes: Continual entity alignment for growing knowledge graphs.
   In: ISWC, 196–213, 2022. arXiv GitHub
9. Xindi Luo$^\dagger$, Zequn Sun$^\dagger$, Wei Hu$^\star$.
   $\mu$KG: A library for multi-source knowledge graph embeddings and applications.
   In: ISWC (Resources Track), 610–627, 2022. arXiv GitHub
10. Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu$^\triangle$, Yiqiao Jiang$^\triangle$, Kexin Han$^\triangle$, Wei Hu$^\star$.
    Inductive knowledge graph reasoning for multi-batch emerging entities.
    In: CIKM, 335–344, 2022. arXiv GitHub
11. Yang Liu, Zequn Sun, Guangyao Li, Wei Hu$^\star$.
    I know what you do not know: Knowledge graph embedding via co-distillation learning.
    In: CIKM, 1329–1338, 2022. arXiv GitHub
12. Jiwei Ding, Wei Hu$^\star$, Xin Yu, Yuzhong Qu$^\star$.
    An empirical study of representing adjectives over knowledge bases: Approach, lexicon and application.
    Journal of Web Semantics, 72:100681, 2022. Elsevier
13. Yao Zhao, Jiacheng Huang, Wei Hu$^\star$, Qijin Chen$^\triangle$, Xiaoxia Qiu$^\triangle$, Chengfu Huo$^\triangle$, Weijun Ren$^\triangle$.
    Implicit relation linking for question answering over knowledge graph.
    In: Findings of ACL, 3956–3968, 2022.
14. Yang Liu, Xiaoxia Jiang$^\triangle$, Wenzheng Zhao, Weiyi Ge$^\triangle$, Wei Hu$^\star$.
    Dual graph convolutional networks for document-level event causality identification.
    In: APWeb+WAIM, 114–128, 2022.
15. Lingbing Guo$^\triangle$, Qiang Zhang$^{\triangle,\star}$, Zequn Sun, Mingyang Chen$^\triangle$, Wei Hu, Huajun Chen$^{\triangle,\star}$.
    Understanding and improving knowledge graph embedding for entity alignment.
    In: ICML, 8145–8156, 2022
16. Kexuan Xin$^\triangle$, Zequn Sun, Wen Hua$^{\triangle,\star}$, Bing Liu$^\triangle$, Wei Hu, Jianfeng Qu$^{\triangle,\star}$, Xiaofang Zhou$^\triangle$.
    Ensemble semi-supervised entity alignment via cycle-teaching.
    In: AAAI, 4281–4289, 2022.
17. Kexuan Xin$^\triangle$, Zequn Sun, Wen Hua$^{\triangle,\star}$, Wei Hu$^\star$, Xiaofang Zhou$^\triangle$.
    Informed multi-context entity alignment.
    In: WSDM, 1197–1205, 2022.
18. Kexuan Xin$^\triangle$, Zequn Sun, Wen Hua$^{\triangle,\star}$, Wei Hu, Jianfeng Qu$^\triangle$, Xiaofang Zhou$^\triangle$.
    Large-scale entity alignment via knowledge graph merging, partitioning and embedding.
    In: CIKM, 1197–1205, 2022.

1. Zequn Sun, Muhao Chen$^\triangle$, Wei Hu.
   Knowing the no-match: Entity alignment with dangling cases.
   In: ACL-IJCNLP, 3582–3593, 2021. arXiv GitHub
2. Kailong Hao, Botao Yu, Wei Hu$^\star$.
   Knowing false negatives: An adversarial training method for distantly supervised relation extraction.
   In: EMNLP, 9661–9672, 2021. arXiv GitHub
3. Guangyao Li, Zequn Sun, Lei Qian$^\triangle$, Qiang Guo$^\triangle$, Wei Hu$^\star$.
   Rule-based data augmentation for knowledge graph embedding.
   AI Open, 2:186–196, 2021. Elsevier
4. Jidong Ge, Yunyun Huang, Xiaoyu Shen, Chuanyi Li$^\star$, Wei Hu.
   Learning fine-grained fact-article correspondence in legal cases.
   IEEE/ACM Transactions on Audio, Speech, and Language Processing, 29:3694–3706, 2021. IEEE

1. Zequn Sun, Qingheng Zhang, Wei Hu$^\star$, Chengming Wang, Muhao Chen$^\triangle$, Farahnaz Akrami$^\triangle$, Chengkai Li$^\triangle$.
   A benchmarking study of embedding-based entity alignment for knowledge graphs.
   In: PVLDB, 13(11):2326–2340, 2020. arXiv PVLDB GitHub
2. Ermei Cao$^\dagger$, Difeng Wang$^\dagger$, Jiacheng Huang, Wei Hu$^\star$.
   Open knowledge enrichment for long-tail entities.
   In: TheWebConf (WWW), 384–394, 2020. arXiv GitHub
3. Jiacheng Huang, Wei Hu$^\star$, Zhifeng Bao$^\triangle$, Yuzhong Qu.
   Crowdsourced collective entity resolution with relational match propagation.
   In: ICDE, 37–48, 2020. arXiv GitHub
4. Zequn Sun$^\dagger$, Chengming Wang$^\dagger$, Wei Hu$^\star$, Muhao Chen$^\triangle$, Jian Dai$^\triangle$, Wei Zhang$^\triangle$, Yuzhong Qu.
   Knowledge graph alignment network with gated multi-hop neighborhood aggregation.
   In: AAAI, 222–229, 2020. arXiv GitHub poster
5. Difeng Wang, Wei Hu$^\star$, Ermei Cao, Weijian Sun$^\triangle$.
   Global-to-local neural networks for document-level relation extraction.
   In: EMNLP, 3711–3721, 2020. arXiv GitHub
6. Zequn Sun, Muhao Chen$^\triangle$, Wei Hu, Chengming Wang, Jian Dai$^\triangle$, Wei Zhang$^\triangle$.
   Knowledge association with hyperbolic knowledge graph embeddings.
   In: EMNLP, 5704–5716, 2020. arXiv GitHub
7. Xinze Lyu, Guangyao Li, Jiacheng Huang, Wei Hu$^\star$.
   Rule-guided graph neural networks for recommender systems.
   In: ISWC, 384–401, 2020. arXiv GitHub
8. Shengguang Qiu, Botao Yu, Lei Qian$^\triangle$, Qiang Guo$^\triangle$, Wei Hu$^\star$.
   Joint reasoning of events, participants and locations for plot relation recognition.
   In: APWeb-WAIM, 700–715, 2020.
9. Farahnaz Akrami$^\triangle$, Mohammed Samiul Saeef$^\triangle$, Qingheng Zhang, Wei Hu, Chengkai Li$^\triangle$.
   Realistic re-evaluation of knowledge graph completion methods: An experimental study.
   In: SIGMOD, 1995–2010, 2020. arXiv GitHub

1. Lingbing Guo, Zequn Sun, Wei Hu$^\star$.
   Learning to exploit long-term relational dependencies in knowledge graphs.
   In: ICML, 2505–2514, 2019. arXiv GitHub poster
2. Qingheng Zhang$^\dagger$, Zequn Sun$^\dagger$, Wei Hu$^\star$, Muhao Chen$^\triangle$, Lingbing Guo, Yuzhong Qu.
   Multi-view knowledge graph embedding for entity alignment.
   In: IJCAI, 5429–5435, 2019. arXiv GitHub poster
3. Jiwei Ding, Wei Hu$^\star$, Qixin Xu, Yuzhong Qu$^\star$.
   Leveraging frequent query substructures to generate formal queries for complex question answering.
   In: EMNLP-IJCNLP, 2614–2622, 2019. arXiv poster
4. Jiwei Ding, Wei Hu$^\star$, Qixin Xu, Yuzhong Qu$^\star$.
   Mapping factoid adjective constraints to existential restrictions over knowledge bases.
   In: ISWC, 164–181, 2019. Website
5. Zequn Sun, Jiacheng Huang, Wei Hu$^\star$, Muhao Chen$^\triangle$, Lingbing Guo, Yuzhong Qu.
   TransEdge: Translating relation-contextualized embeddings for knowledge graphs.
   In: ISWC, 612–629, 2019. GitHub
6. Amrapali Zaveri$^\triangle$, Wei Hu, Michel Dumontier$^\triangle$.
   MetaCrowd: Crowdsourcing biomedical metadata quality assessment.
   Human Computation, 6(1):98–112, 2019.

1. Jiacheng Huang, Wei Hu$^\star$, Haoxuan Li, Yuzhong Qu.
   Automated comparative table generation for facilitating human intervention in multi-entity resolution.
   In: SIGIR, 585–594, 2018.
2. Zequn Sun, Wei Hu$^\star$, Qingheng Zhang, Yuzhong Qu.
   Bootstrapping entity alignment with knowledge graph embedding.
   In: IJCAI-ECAI, 4396–4402, 2018. GitHub
3. Saisai Gong, Wei Hu$^\star$, Weiyi Ge$^\triangle$, Yuzhong Qu.
   Modeling topic-based human expertise for crowd entity resolution.
   Journal of Computer Science and Technology, 33(6):1204–1218, 2018.
4. Jiwei Ding, Yuan Wang, Wei Hu, Linfeng Shi, Yuzhong Qu$^\star$.
   Answering multiple-choice questions in geographical Gaokao with a concept graph.
   In: ESWC, 161–176, 2018.
5. Saisai Gong, Wei Hu, Haoxuan Li, Yuzhong Qu.
   Property clustering in linked data: An empirical study and its application to entity browsing.
   International Journal on Semantic Web and Information Systems, 14(1):31–70, 2018.