目录

论文

知识图谱是融合知识表示与推理 (AAAI, IJCAI)、语义网 (WWW, ISWC) 与自然语言处理 (ACL, EMNLP，NAACL)、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；$^\S$外单位合作者

2026 年

  1. Ziqi Wang, Jingzhe Zhang, Wei Hu$^\star$.
    WoW: A window-to-window incremental index for range-filtering approximate nearest neighbor search.
    In: SIGMOD, 3(6):378, 2026. arXiv GitHub
  2. Yuhan Wu, Huan Zhang, Wei Cheng, Chen Shen, Jingyue Yang, Wei Hu$^\star$.
    Bootstrapping code translation with weighted multilanguage exploration.
    In: ACL, 2026.
  3. Wei Cheng, Chen Shen, Huan Zhang, Yuhan Wu, Jingyue Yang, Wei Hu$^\star$.
    BCaLLM: Call graph-guided Python breaking change detection with large language models.
    In: ISSTA, 2026.
  4. Xiangyu Liu, Haodi Lei, Yi Liu, Yang Liu, Wei Hu$^\star$.
    ProtSAE: Disentangling and interpreting protein language models via semantically-guided sparse autoencoders.
    In: AAAI, 2026.
  5. Yi Liu, Xiangyu Liu, Zequn Sun, Wei Hu$^\star$.
    Answering the unanswerable is to err knowingly: Analyzing and mitigating abstention failures in large reasoning models.
    In: AAAI, 2026.
  6. Huan Zhang, Wei Cheng, Wei Hu$^\star$.
    Self-improving code generation via semantic entropy and behavioral consensus.
    In: ICPC, 2026.
  7. Haoyang Chen, Yi Liu, Chenyang Li, Wei Hu$^\star$.
    Decomposing complexity: A difficulty-aware multi-agent framework for open-domain knowledge graph construction.
    In: DASFAA, 2026.
  8. Haoyang Chen, Yi Liu, Jianzhi Shao$^\S$, Tao Zhang$^\S$, Chengfu Huo$^\S$, Wei Hu$^\star$.
    How do answer tokens read reasoning traces? Self-reading patterns in thinking LLMs for quantitative reasoning.
    In: Findings of ACL, 2026.
  9. Wei Cheng, Yongchang Cao$^\S$, Chen Shen, Binhua Li$^\S$, Jue Chen$^\S$, Yongbin Li$^{\S,\star}$, Wei Hu$^\star$.
    To diff or not to diff? Structure-aware and adaptive output formats for efficient LLM-based code editing.
    In: Findings of ACL, 2026.
  10. Jianhao Chen, Zishuo Xun$^\S$, Bocheng Zhou$^\S$, Han Qi$^\S$, Hangfan Zhang$^\S$, Qiaosheng Zhang$^\S$, Yang Chen$^\S$, Wei Hu, Yuzhong Qu$^\star$, Shuyue Hu$^{\S,\star}$.
    Do we truly need so many samples? Multi-LLM repeated sampling efficiently scales test-time compute.
    In: AAAI, 2026.
  11. Yuheng Bao, Wenhao Zhou, Xuan Wu, Wei Hu, Dingkun Xu, Mingjia Qian, Yuzhong Qu$^\star$.
    SQA: SPARQL query annotating with question-answer pairs.
    In: ESWC, 2026.

2025 年

  1. Yuanning Cui, Zequn Sun, Wei Hu$^\star$.
    Transfer-and-fusion: Integrated link prediction across knowledge graphs.
    IEEE Transactions on Knowledge and Data Engineering, 2025. IEEE GitHub
  2. Xiangyu Liu, Yi Liu, Silei Chen, Wei Hu$^\star$.
    Controllable protein sequence generation with LLM preference optimization.
    In: AAAI, 505–513, 2025. arXiv GitHub
  3. Rongzhi Zhu, Xiangyu Liu, Zequn Sun$^\star$, Yiwei Wang$^\S$, Wei Hu.
    Mitigating lost-in-retrieval problems in retrieval augmented multi-hop question answering.
    In: ACL, 22362–22375, 2025. arXiv GitHub
  4. Yang Liu, Zequn Sun$^\star$, Zhoutian Shao, Yuanning Cui, Wei Hu.
    Are LLMs really knowledgeable for knowledge graph completion?
    In: ISWC, 77–95, 2025. Resource track spotlight. GitHub
  5. Xiangrong Zhu, Yuexiang Xie$^\S$, Yang Liu, Yaliang Li$^\S$, Wei Hu$^\star$.
    Parameter-efficient federated knowledge graph embedding learning and unlearning.
    In: ISWC, 462–480, 2025. GitHub
  6. Xiangrong Zhu, Yuexiang Xie$^\S$, Yi Liu, Yaliang Li$^\S$, Wei Hu.
    Knowledge graph-guided retrieval augmented generation.
    In: NAACL, 8912–8924, 2025. arXiv GitHub
  7. Xinyi Wang, Zitao Wang, Yuan Feng$^\S$, Wei Hu$^\star$.
    Continual document-level relation extraction with partial labeling compensation.
    Frontiers of Computer Science, 2025. HEP
  8. Yang Liu, Xiaoxia Jiang$^\S$, Yuanning Cui, Yu Wang$^\S$, Wei Hu$^\star$.
    Missing data recovery for heterogeneous graphs with incremental multi-source data fusion.
    Frontiers of Computer Science, 2025. HEP
  9. Zitao Wang, Xinyi Wang, Wei Hu$^\star$.
    Mixture of LoRA experts for continual information extraction with LLMs.
    In: EMNLP Findings, 13324–13339, 2025.
  10. Yi Liu, Xiangrong Zhu, Xiangyu Liu, Wei Wei, Wei Hu$^\star$.
    Avoiding knowledge edit skipping in multi-hop question answering with guided decomposition.
    In: EMNLP Findings, 16256–16272, 2025. arXiv
  11. Xinyi Wang, Xiangrong Zhu, Wei Hu$^\star$.
    Evidence selection via multi-aspect query diversification for cross-document relation extraction.
    Journal of Intelligent Information Systems, 2025. Springer
  12. Wei Hu, Zequn Sun.
    Knowledge fusion.
    In: Handbook on Neurosymbolic AI and Knowledge Graphs, 300–318, 2025. IOS

2024 年

  1. Huan Zhang, Wei Cheng, Yuhan Wu, Wei Hu$^\star$.
    A pair programming framework for code generation via multi-plan exploration and feedback-driven refinement.
    In: ASE, 1319–1331, 2024. Distinguished paper award. arXiv GitHub
  2. Yuanning Cui, Zequn Sun, Wei Hu$^\star$.
    A prompt-based knowledge graph foundation model for universal in-context reasoning.
    In: NeurIPS, 2024. arXiv GitHub
  3. Honghu Wu$^\dagger$, Xiangrong Zhu$^\dagger$, Wei Hu$^\star$.
    A blockchain system for clustered federated learning with peer-to-peer knowledge transfer.
    In: PVLDB, 17(5):966–979, 2024. PVLDB GitHub
  4. Yi Liu, Xiangyu Liu, Xiangrong Zhu, Wei Hu$^\star$.
    Multi-aspect controllable text generation with disentangled counterfactual augmentation.
    In: ACL, 9231–9253, 2024. arXiv GitHub
  5. Wei Cheng, Yuhan Wu, Wei Hu$^\star$.
    Dataflow-guided retrieval augmentation for repository-level code completion.
    In: ACL, 7957–7977, 2024. arXiv GitHub
  6. Xiaobin Tian, Zequn Sun$^\star$, Wei Hu$^\star$.
    Generating explanations to understand and repair embedding-based entity alignment.
    In: ICDE, 2205–2217, 2024. arXiv GitHub
  7. Xiangyu Liu, Yang Liu, Wei Hu$^\star$.
    Knowledge graph error detection with contrastive confidence adaption.
    In: AAAI, 8824–8831, 2024. arXiv GitHub
  8. 崔员宁, 孙泽群, 胡伟$^\star$.
    基于规则提示的知识图谱通用推理预训练模型.
    计算机研究与发展, 61(8):2030–2044, 2024.
  9. Xindi Luo, Zequn Sun$^\star$, Jing Zhao$^{\S,\star}$, Zhe Zhao$^{\S,\star}$, Wei Hu$^\star$.
    KnowLA: Enhancing parameter-efficient finetuning with knowledgeable adaptation.
    In: NAACL, 7146–7159, 2024. arXiv GitHub
  10. Yang Liu, Xiaobin Tian, Zequn Sun$^\star$, Wei Hu.
    Finetuning generative large language models with discrimination instructions for knowledge graph completion.
    In: ISWC, 199–217, 2024. arXiv GitHub
  11. Zhoutian Shao, Yuanning Cui, Wei Hu$^\star$.
    Expanding the scope: Inductive knowledge graph reasoning with multi-starting progressive propagation.
    In: ISWC, 41–58, 2024. arXiv GitHub
  12. Xinyi Wang, Wenzheng Zhao, Xiangrong Zhu, Wei Hu$^\star$.
    Can ChatGPT solve relation extraction? An extensive assessment via design choice exploration.
    In: NLPCC, 346–358, 2024.
  13. Jianhao Chen, Haoyuan Ouyang, Junyang Ren, Wentao Ding, Wei Hu, Yuzhong Qu.
    Timeline-based sentence decomposition with in-context learning for temporal fact extraction.
    In: ACL, 3415–3432, 2024.

2023 年

  1. Wei Cheng, Wei Hu$^\star$, Xiaoxing Ma.
    Revisiting knowledge-based inference of Python runtime environments: A realistic and adaptive approach.
    IEEE Transactions on Software Engineering, 2023. IEEE GitHub
  2. Jiacheng Huang, Zequn Sun, Qijin Chen$^\S$, Xiaozhou Xu$^\S$, Weijun Ren$^\S$, Wei Hu$^\star$.
    Deep active alignment of knowledge graph entities and schemata.
    In: SIGMOD, 1(2):159, 2023. arXiv GitHub
  3. Zequn Sun, Jiacheng Huang, Jinghao Lin$^\S$, Xiaozhou Xu$^\S$, Qijin Chen$^\S$, 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
  4. Zequn Sun, Jiacheng Huang, Xiaozhou Xu$^\S$, Qijin Chen$^\S$, Weijun Ren$^\S$, Wei Hu$^\star$.
    What makes entities similar? A similarity flooding perspective for multi-sourced knowledge graph embeddings.
    In: ICML, 32875–32885, 2023. arXiv GitHub
  5. Xiangrong Zhu, Guangyao Li, Wei Hu$^\star$.
    Heterogeneous federated knowledge graph embedding learning and unlearning.
    In: WWW, 2444–2454, 2023. arXiv GitHub
  6. Wenzheng Zhao, Yuanning Cui, Wei Hu$^\star$.
    Improving continual relation extraction by distinguishing analogous semantics.
    In: ACL, 1162–1175, 2023. arXiv GitHub
  7. Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu$^\S$, Yiqiao Jiang$^\S$, Kexin Han$^\S$, Wei Hu$^\star$.
    Lifelong embedding learning and transfer for growing knowledge graphs.
    In: AAAI, 4217–4224, 2023. arXiv GitHub
  8. 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), 34(10):4501–4517, 2023. GitHub
  9. 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
  10. Zitao Wang, Xinyi Wang, Wei Hu$^\star$.
    Continual event extraction with semantic confusion rectification.
    In: EMNLP, 11945–11955, 2023. arXiv GitHub
  11. 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
  12. Yuxin Wang, Jieru Lin$^\S$, Zhiwei Yu$^\S$, Wei Hu$^\star$, Börje F. Karlsson$^\S$.
    Open-world story generation with structured knowledge enhancement: A comprehensive survey.
    Neurocomputing, 2023. Elsevier
  13. 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.
  14. Ziyang Li, Yu Gu$^\S$, 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.
  15. 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.

2022 年

  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$^\S$, Qijin Chen$^\S$, 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$^\S$, Qijin Chen$^\S$, Xiaoxia Qiu$^\S$, Chengfu Huo$^\S$, Weijun Ren$^\S$.
    Trustworthy knowledge graph completion based on multi-sourced noisy data.
    In: TheWebConf (WWW), 956–965, 2022. arXiv GitHub
  5. Botao Yu, Peiling Lu$^\S$, Rui Wang$^\S$, Wei Hu$^\star$, Xu Tan$^{\S,\star}$, Wei Ye$^\S$, Shikun Zhang$^\S$, Tao Qin$^\S$, Tie-Yan Liu$^\S$.
    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$^\S$, 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$^\S$, Zequn Sun, Yiqiao Jiang$^\S$, Kexin Han$^\S$, 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$^\S$, Yiqiao Jiang$^\S$, Kexin Han$^\S$, 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$^\S$, Xiaoxia Qiu$^\S$, Chengfu Huo$^\S$, Weijun Ren$^\S$.
    Implicit relation linking for question answering over knowledge graph.
    In: Findings of ACL, 3956–3968, 2022.
  14. Yang Liu, Xiaoxia Jiang$^\S$, Wenzheng Zhao, Weiyi Ge$^\S$, Wei Hu$^\star$.
    Dual graph convolutional networks for document-level event causality identification.
    In: APWeb+WAIM, 114–128, 2022.
  15. Lingbing Guo$^\S$, Qiang Zhang$^{\S,\star}$, Zequn Sun, Mingyang Chen$^\S$, Wei Hu, Huajun Chen$^{\S,\star}$.
    Understanding and improving knowledge graph embedding for entity alignment.
    In: ICML, 8145–8156, 2022
  16. Kexuan Xin$^\S$, Zequn Sun, Wen Hua$^{\S,\star}$, Bing Liu$^\S$, Wei Hu, Jianfeng Qu$^{\S,\star}$, Xiaofang Zhou$^\S$.
    Ensemble semi-supervised entity alignment via cycle-teaching.
    In: AAAI, 4281–4289, 2022.
  17. Kexuan Xin$^\S$, Zequn Sun, Wen Hua$^{\S,\star}$, Wei Hu$^\star$, Xiaofang Zhou$^\S$.
    Informed multi-context entity alignment.
    In: WSDM, 1197–1205, 2022.
  18. Kexuan Xin$^\S$, Zequn Sun, Wen Hua$^{\S,\star}$, Wei Hu, Jianfeng Qu$^\S$, Xiaofang Zhou$^\S$.
    Large-scale entity alignment via knowledge graph merging, partitioning and embedding.
    In: CIKM, 1197–1205, 2022.

2021 年

  1. Zequn Sun, Muhao Chen$^\S$, 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$^\S$, Qiang Guo$^\S$, 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

2020 年

  1. Zequn Sun, Qingheng Zhang, Wei Hu$^\star$, Chengming Wang, Muhao Chen$^\S$, Farahnaz Akrami$^\S$, Chengkai Li$^\S$.
    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$^\S$, 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$^\S$, Jian Dai$^\S$, Wei Zhang$^\S$, 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$^\S$.
    Global-to-local neural networks for document-level relation extraction.
    In: EMNLP, 3711–3721, 2020. arXiv GitHub
  6. Zequn Sun, Muhao Chen$^\S$, Wei Hu, Chengming Wang, Jian Dai$^\S$, Wei Zhang$^\S$.
    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$^\S$, Qiang Guo$^\S$, Wei Hu$^\star$.
    Joint reasoning of events, participants and locations for plot relation recognition.
    In: APWeb-WAIM, 700–715, 2020.
  9. Farahnaz Akrami$^\S$, Mohammed Samiul Saeef$^\S$, Qingheng Zhang, Wei Hu, Chengkai Li$^\S$.
    Realistic re-evaluation of knowledge graph completion methods: An experimental study.
    In: SIGMOD, 1995–2010, 2020. arXiv GitHub

2019 年

  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$^\S$, 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$^\S$, Lingbing Guo, Yuzhong Qu.
    TransEdge: Translating relation-contextualized embeddings for knowledge graphs.
    In: ISWC, 612–629, 2019. GitHub
  6. Amrapali Zaveri$^\S$, Wei Hu, Michel Dumontier$^\S$.
    MetaCrowd: Crowdsourcing biomedical metadata quality assessment.
    Human Computation, 6(1):98–112, 2019.

2018 年

  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$^\S$, 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.