Publications

Marks: $^\star$Corresponding author; $^\dagger$Equal contributor; $^\S$External collaborator

1. Ziqi Wang, Jingzhe Zhang, Shuo Shen, Wei Hu$^\star$.
   Fast label-filtering approximate nearest neighbor search via progressive label set stratification.
   In: SIGMOD, 2027.

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, 36247–36259, 2026. arXiv GitHub
3. Wei Cheng, Chen Shen, Huan Zhang, Yuhan Wu, Jingyue Yang, Wei Hu.
   BCaLLM: Call graph-guided Python breaking change detection with large language models.
   In: ISSTA, 3:104, 2026. GitHub
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, 773–781, 2026. arXiv GitHub
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, 32231–32239, 2026. arXiv GitHub
6. Yuhan Wu, Huan Zhang, Wei Cheng, Chen Shen, Jingyue Yang, Wei Hu$^\star$.
   Improving code translation with syntax-guided and semantic-aware preference optimization.
   In: IJCAI, 2026. arXiv GitHub
7. Zequn Sun, Xiaohui Zhang, Yaqin Jin$^\S$, Wei Hu$^\star$.
   Mitigating exploration sluggishness in iterative knowledge graph augmentation.
   In: ISWC, 2026.
8. Rongzhi Zhu$^\dagger$, Xiangyu Liu$^\dagger$, Yi Liu, Shuo Zhang$^\S$, Ruirui Zhang$^\S$, Rui Wu$^\S$, Tao Jiang$^\S$, Zequn Sun$^\star$, Wenhao Xu$^\S$, Wei Hu.
   Dense process supervision for search agents via fact utility estimation.
   In: EMNLP, 2026.
9. Haoyang Chen, Yi Liu, Jianzhi Shao$^\S$, Xiaozhou Xu$^\S$, Zhe Sun$^\S$, Wei Hu$^\star$.
   Polished but unresolved: Identifying late-stage pressure states in long-horizon tool-use agents.
   In: EMNLP, 2026.
10. Yang Liu$^\dagger$, Chenxu Wang$^{\dagger,\S}$, Jianzhi Shao$^\S$, Jun Ji, Xiaozhou Xu$^\S$, Zhe Sun$^\S$, Wei Hu$^\star$.
    Beyond query-item matching: Personalized behavioral relevance modeling for e-commerce search via rubric-guided reinforcement learning.
    In: EMNLP (Industry Track), 2026.
11. Huan Zhang, Wei Cheng, Wei Hu$^\star$.
    Self-improving code generation via semantic entropy and behavioral consensus.
    In: ICPC, 49–60, 2026. arXiv GitHub
12. Haoyang Chen, Yi Liu, Chenyang Li$^\S$, Wei Hu$^\star$.
    Decomposing complexity: A difficulty-aware multi-agent framework for open-domain knowledge graph construction.
    In: DASFAA, 324–339, 2026.
13. 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, 30150–30166, 2026. arXiv
14. 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, 29677–29694, 2026. arXiv GitHub
15. Rongzhi Zhu, Yi Liu, Jiancheng Wang$^{\S,\star}$, Xiangyu Liu, Zequn Sun$^\star$, Yiwei Wang$^\S$, Yu Deng$^\S$, Zijian Zhou$^\S$, Wei Hu.
    When can large reasoning models save thinking? Mechanistic analysis of behavioral divergence in reasoning.
    In: EMNLP Findings, 2026.
16. Rongzhi Zhu, Xiang Huang$^\S$, Yuchuan Wu$^\S$, Rui Wang$^\S$, Zequn Sun$^\star$, Tao Ren$^\S$, Weiyao Luo$^\S$, Bingxue Qiu$^\S$, Jieping Ye$^\S$, Yongbin Li$^{\S,\star}$, Wei Hu.
    EIBench: A Simulator-Based Benchmark and Turn-Credit RL for Emotion Management.
    In: EMNLP Findings, 2026.
17. Huicheng Huang, Xiaohui Zhang, Yuanning Cui$^\S$, Zequn Sun$^\star$, Wei Hu.
    AdaMemPIP: Adaptive memory pipeline orchestration for LLM agents.
    In: EMNLP Findings, 2026.
18. Chengyuan Yang, Zequn Sun$^\star$, Wei Wei, Wei Hu.
    Beyond static summarization: Proactive memory extraction for LLM agents.
    In: EMNLP Findings, 2026.
19. Yang Liu, Zequn Sun, Yuanning Cui$^\S$, Wei Hu$^\star$.
    Knowledge graph completion with iterative self-reflection of retrieval-augmented language models.
    In: ADMA, 2026.
20. Yuan Feng, Xiaobin Tian, Wei Hu$^\star$.
    LLM-guided explanation generation for knowledge graph embedding-based node classification.
    In: ADMA, 2026.
21. 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, 20083–20091, 2026.
22. 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, 42–62, 2026.
23. Yuanning Cui$^\S$, Zequn Sun, Wei Hu, Zhangjie Fu$^{\S,\star}$.
    KGFR: A foundation retriever for generalized knowledge graph question answering.
    IEEE Transactions on Knowledge and Data Engineering, 2026. IEEE
24. Yuanning Cui$^\S$, Zequn Sun, Wei Hu, Kexuan Xin$^\S$, Zhangjie Fu$^{\S,\star}$.
    Breaking the reasoning horizon in entity alignment foundation models.
    In: IJCAI, 2026.

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

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. Yuanning Cui, Zequn Sun, Wei Hu$^\star$.
   A pre-trained universal knowledge graph reasoning model based on rule prompts.
   Journal of Computer Research and Development, 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.

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. 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. 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
7. Wenzheng Zhao, Yuanning Cui, Wei Hu$^\star$.
   Improving continual relation extraction by distinguishing analogous semantics.
   In: ACL, 1162–1175, 2023. arXiv GitHub
8. Zequn Sun, Yuanning Cui, Wei Hu$^\star$.
   Lifelong representation learning on multi-sourced knowledge graphs via linked entity replay.
   Ruan Jian Xue Bao, 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.

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. Xiangrong Zhu, Honghu Wu, Wei Hu$^\star$.
   FactChain: A blockchain-based crowdsourcing knowledge fusion system.
   Ruan Jian Xue Bao, 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.

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

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

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.

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.