!!书
*程龚. __[图论与算法|http://ws.nju.edu.cn/gtabook]__. 清华大学出版社. 2024.
*瞿裕忠, 胡伟, 程龚. __[语义网技术体系|http://ws.nju.edu.cn/swbook/]__. 科学出版社. 2015.

!!国际会议论文
!录用待出版
*A pair programming framework for code generation via multi-plan exploration and feedback-driven refinement. __Proc. ASE__
*Can ChatGPT solve relation extraction? An extensive assessment via design choice exploration. __Proc. NLPCC__
*DUNKS: Chunking and Summarizing Large and Heterogeneous Data for Dataset Search. __Proc. ISWC__
*Finetuning generative large language models with discrimination instructions for knowledge graph completion. __Proc. ISWC__
*Expanding the scope: Inductive knowledge graph reasoning with multi-starting progressive propagation. __Proc. ISWC__
*A Survey on Extractive Knowledge Graph Summarization: Applications, Approaches, Evaluation, and Future Directions. __Proc. IJCAI__

!2024
*Yi Liu, Xiangyu Liu, Xiangrong Zhu, Wei Hu: Multi-Aspect Controllable Text Generation with Disentangled Counterfactual Augmentation. __Proc. ACL__
*Wei Cheng, Yuhan Wu, Wei Hu: Dataflow-Guided Retrieval Augmentation for Repository-Level Code Completion. __Proc. ACL__
*Jianhao Chen, Haoyuan Ouyang, Junyang Ren, Wentao Ding, Wei Hu, Yuzhong Qu: Timeline-based Sentence Decomposition with In Context Learning for Temporal Fact Extraction. __Proc. ACL__
*Xiang Huang, Sitao Cheng, Shanshan Huang, Jiayu Shen, Yong Xu, Chaoyun Zhang, Yuzhong Qu: QueryAgent: A Reliable and Efficient Reasoning Framework with Environmental Feedback based Self-Correction. __Proc. ACL__
*Qiaosheng Chen, Jiageng Chen, Xiao Zhou, Gong Cheng: Enhancing Dataset Search with Compact Data Snippets. __Proc. SIGIR__
*Qiaosheng Chen, Weiqing Luo, Zixian Huang, Tengteng Lin, Xiaxia Wang, Ahmet Soylu, Basil Ell, Baifan Zhou, Evgeny Kharlamov, Gong Cheng: ACORDAR 2.0: A Test Collection for Ad Hoc Dataset Retrieval with Densely Pooled Datasets and Question-Style Queries. __Proc. SIGIR__
*Xindi Luo, Zequn Sun, Jing Zhao, Zhe Zhao, Wei Hu: KnowLA: Enhancing Parameter-efficient Finetuning with Knowledgeable Adaptation. __Proc. NAACL__
*Xiao Li, Yong Jiang, Shen Huang, Pengjun Xie, Gong Cheng, Fei Huang: Exploring Key Point Analysis with Pairwise Generation and Graph Partitioning. __Proc. NAACL__
*Wentao Ding, Jinmao Li, Liangchuan Luo, Yuzhong Qu: Enhancing Complex Question Answering over Knowledge Graphs through Evidence Pattern Retrieval. __Proc. WWW__
*Xiaoqing Wang, Gong Cheng: A Fast Hop-Biased Approximation Algorithm for the Quadratic Group Steiner Tree Problem. __Proc. WWW__
*Zixian Huang, Gengyang Xiao, Yu Gu, Gong Cheng: A Branching Decoder for Set Generation. __Proc. ICLR__
*Xiaobin Tian, Zequn Sun, Wei Hu: Generating Explanations to Understand and Repair Embedding-Based Entity Alignment. __Proc. ICDE__
*Xiangyu Liu, Yang Liu, Wei Hu: Knowledge Graph Error Detection with Contrastive Confidence Adaption. __Proc. AAAI__

!2023
*Xiang Huang, Sitao Cheng, Yuheng Bao, Shanshan Huang, Yuzhong Qu: MarkQA: A large scale KBQA dataset with numerical reasoning. __Proc. EMNLP__
*Zitao Wang, Xinyi Wang, Wei Hu: Continual Event Extraction with Semantic Confusion Rectification. __Proc. EMNLP__
*Weiqing Luo, Qiaosheng Chen, Zhiyang Zhang, Zixian Huang, Gong Cheng: An Empirical Investigation of Implicit and Explicit Knowledge-Enhanced Methods for Ad Hoc Dataset Retrieval. __Findings of EMNLP__
*Qiaosheng Chen, Zixian Huang, Zhiyang Zhang, Weiqing Luo, Tengteng Lin, Qing Shi, Gong Cheng: Dense Re-Ranking with Weak Supervision for RDF Dataset Search. __Proc. ISWC %%(color:red;)(最佳研究论文提名)%%__
*Qing Shi, Junrui Wang, Jeff Z. Pan, Gong Cheng: VOYAGE: A Large Collection of Vocabulary Usage in Open RDF Datasets. __Proc. ISWC__
*Zixian Huang, Jiaying Zhou, Chenxu Niu, Gong Cheng: Spans, Not Tokens: A Span-Centric Model for Multi-Span Reading Comprehension. __Proc. CIKM__
*Zixian Huang, Jiaying Zhou, Gengyang Xiao, Gong Cheng: Enhancing In-Context Learning with Answer Feedback for Multi-span Question Answering. __Proc. NLPCC__
*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. __Proc. IJCAI__
*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. __Proc. KDD__
*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. __Proc. ICML__
*Wenzheng Zhao, Yuanning Cui, Wei Hu: Improving Continual Relation Extraction by Distinguishing Analogous Semantics. __Proc. ACL__
*Xinyi Wang, Zitao Wang, Wei Hu: Serial Contrastive Knowledge Distillation for Continual Few-shot Relation Extraction. __Findings of ACL__
*Xiangrong Zhu, Guangyao Li, Wei Hu: Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning. __Proc. WWW__
*Ziyang Li, Yu Gu, Yulin Shen, Wei Hu, Gong Cheng: TRAVERS: A Diversity-Based Dynamic Approach to Iterative Relevance Search over Knowledge Graphs. __Proc. WWW__
*Ke Zhang, Xiaoqing Wang, Gong Cheng: Efficient Approximation Algorithms for the Diameter-Bounded Max-Coverage Group Steiner Tree Problem. __Proc. WWW__
*Haipeng Dai, Lei Meng, Hancheng Wang, Rong Gu, Siwen Chen, Feng Chen, Wei Hu: Distantly Supervised Entity Linking with Selection Consistency Constraint. __Proc. DASFAA__
*Jianhao Chen, Junyang Ren, Wentao Ding, Yuzhong Qu: PaTeCon: A Pattern-Based Temporal Constraint Mining Method for Conflict Detection on Knowledge Graphs. __Proc. AAAI__
*Xiang Huang, Sitao Cheng, Yiheng Shu, Yuheng Bao, Yuzhong Qu: Question Decomposition Tree for Answering Complex Questions over Knowledge Bases. __Proc. AAAI__
*Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han, Wei Hu: Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs. __Proc. AAAI__
*Xiao Li, Yin Zhu, Sichen Liu, Jiangzhou Ju, Yuzhong Qu, Gong Cheng: DyRRen: A Dynamic Retriever-Reranker-Generator Model for Numerical Reasoning over Tabular and Textual Data. __Proc. AAAI__

!2022
*Wentao Ding, Hao Chen, Huayu Li, Yuzhong Qu: Semantic Framework based Query Generation for Temporal Question Answering over Knowledge Graphs. __Proc. EMNLP__
*Yiheng Shu, Zhiwei Yu, Yuhan Li, Börje F. Karlsson, Tingting Ma, Yuzhong Qu, Chin-Yew Lin: TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Base. __Proc. EMNLP__
*Botao Yu, Peiling Lu, Rui Wang, Wei Hu, Xu Tan, Wei Ye, Shikun Zhang, Tao Qin, Tie-Yan Liu: Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generation. __Proc. NeurIPS__
*Yang Liu, Xiaoxia Jiang, Wenzheng Zhao, Weiyi Ge, Wei Hu: Dual Graph Convolutional Networks for Document-Level Event Causality Identification. __Proc. APWeb__
*Xinyi Wang, Zitao Wang, Weijian Sun, Wei Hu: Enhancing Document-Level Relation Extraction by Entity Knowledge Injection. __Proc. ISWC__
*Yuxin Wang, Yuanning Cui, Wenqiang Liu, Zequn Sun, Yiqiao Jiang, Kexin Han, Wei Hu: Facing Changes: Continual Entity Alignment for Growing Knowledge Graphs. __Proc. ISWC__
*Xindi Luo, Zequn Sun, Wei Hu: μ KG: A Library for Multi-source Knowledge Graph Embeddings and Applications. __Proc. ISWC__
*Dongzhuoran Zhou, Baifan Zhou, Zhuoxun Zheng, Ahmet Soylu, Gong Cheng, Ernesto Jiménez-Ruiz, Egor V. Kostylev, Evgeny Kharlamov: Ontology Reshaping for Knowledge Graph Construction: Applied on Bosch Welding Case. __Proc. ISWC__
*Zhuoxun Zheng, Baifan Zhou, Dongzhuoran Zhou, Xianda Zheng, Gong Cheng, Ahmet Soylu, Evgeny Kharlamov: Executable Knowledge Graphs for Machine Learning: A Bosch Case of Welding Monitoring. __Proc. ISWC__
*Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han, Wei Hu: Inductive Knowledge Graph Reasoning for Multi-batch Emerging Entities. __Proc. CIKM__
*Yang Liu, Zequn Sun, Guangyao Li, Wei Hu: I Know What You Do Not Know: Knowledge Graph Embedding via Co-distillation Learning. __Proc. CIKM__
*Kexuan Xin, Zequn Sun, Wen Hua, Wei Hu, Jianfeng Qu, Xiaofang Zhou: Large-scale Entity Alignment via Knowledge Graph Merging, Partitioning and Embedding. __Proc. CIKM__
*Xixin Hu, Xuan Wu, Yiheng Shu, Yuzhong Qu: Logical Form Generation via Multi-task Learning for Complex Question Answering over Knowledge Bases. __Proc. COLING__
*Lingbing Guo, Qiang Zhang, Zequn Sun, Mingyang Chen, Wei Hu, Huajun Chen: Understanding and Improving Knowledge Graph Embedding for Entity Alignment. __Proc. ICML__
*Tengteng Lin, Qiaosheng Chen, Gong Cheng, Ahmet Soylu, Basil Ell, Ruoqi Zhao, Qing Shi, Xiaxia Wang, Yu Gu, Evgeny Kharlamov: ACORDAR: A Test Collection for Ad Hoc Content-Based (RDF) Dataset Retrieval. __Proc. SIGIR__
*Zixian Huang, Ao Wu, Jiaying Zhou, Yu Gu, Yue Zhao, Gong Cheng: Clues Before Answers: Generation-Enhanced Multiple-Choice QA. __Proc. NAACL__
*Xiao Li, Gong Cheng, Ziheng Chen, Yawei Sun, Yuzhong Qu: AdaLoGN: Adaptive Logic Graph Network for Reasoning-Based Machine Reading Comprehension. __Proc. ACL__
*Yao Zhao, Jiacheng Huang, Wei Hu, Qijin Chen, Xiaoxia Qiu, Chengfu Huo, Weijun Ren: Implicit Relation Linking for Question Answering over Knowledge Graph. __Findings of ACL__
*Wei Cheng, Xiangrong Zhu, Wei Hu: Conflict-aware Inference of Python Compatible Runtime Environments with Domain Knowledge Graph. __Proc. ICSE__
*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. __Proc. WWW__
*Kexuan Xin, Zequn Sun, Wen Hua, Bing Liu, Wei Hu, Jianfeng Qu, Xiaofang Zhou: Ensemble Semi-supervised Entity Alignment via Cycle-Teaching. __Proc. AAAI__
*Kexuan Xin, Zequn Sun, Wen Hua, Wei Hu, Xiaofang Zhou: Informed Multi-context Entity Alignment. __Proc. WSDM__

!2021
*Kailong Hao, Botao Yu, Wei Hu: Knowing False Negatives: An Adversarial Training Method for Distantly Supervised Relation Extraction. __Proc. EMNLP__
*Wentao Ding, Jianhao Chen, Jinmao Li, Yuzhong Qu: Automatic rule generation for time expression normalization. __Findings of EMNLP__
*Zixian Huang, Ao Wu, Yulin Shen, Gong Cheng, Yuzhong Qu: When Retriever-Reader Meets Scenario-Based Multiple-Choice Questions. __Findings of EMNLP__
*Xixin Hu, Yiheng Shu, Xiang Huang, Yuzhong Qu: EDG-Based Question Decomposition for Complex Question Answering over Knowledge Bases. __Proc. ISWC__
*Xiaxia Wang, Gong Cheng, Tengteng Lin, Jing Xu, Jeff Z. Pan, Evgeny Kharlamov, Yuzhong Qu: PCSG: Pattern-Coverage Snippet Generation for RDF Datasets. __Proc. ISWC__
*Yulin Shen, Ziheng Chen, Gong Cheng, Yuzhong Qu: CKGG: A Chinese Knowledge Graph for High-School Geography Education and Beyond. __Proc. ISWC %%(color:red;)(最佳资源论文提名)%%__
*Yuxuan Shi, Gong Cheng, Trung-Kien Tran, Jie Tang, Evgeny Kharlamov: Keyword-Based Knowledge Graph Exploration Based on Quadratic Group Steiner Trees. __Proc. IJCAI__
*Zequn Sun, Muhao Chen, Wei Hu: Knowing the No-match: Entity Alignment with Dangling Cases. __Proc. ACL__
*Yuxuan Shi, Gong Cheng, Trung-Kien Tran, Evgeny Kharlamov, Yulin Shen: Efficient Computation of Semantically Cohesive Subgraphs for Keyword-Based Knowledge Graph Exploration. __Proc. WWW__
*Xiao Li, Yawei Sun, Gong Cheng: TSQA: Tabular Scenario Based Question Answering. __Proc. AAAI__

!2020
*Difeng Wang, Wei Hu, Ermei Cao, Weijian Sun: Global-to-Local Neural Networks for Document-Level Relation Extraction. __Proc. EMNLP__
*Zequn Sun, Muhao Chen, Wei Hu, Chengming Wang, Jian Dai, Wei Zhang: Knowledge Association with Hyperbolic Knowledge Graph Embeddings. __Proc. EMNLP__
*Gong Cheng, Shuxin Li, Ke Zhang, Chengkai Li: Generating Compact and Relaxable Answers to Keyword Queries over Knowledge Graphs. __Proc. ISWC__
*Xinze Lyu, Guangyao Li, JiaCheng Huang, Wei Hu: Rule-Guided Graph Neural Networks for Recommender Systems. __Proc. ISWC__
*Shengguang Qiu, Botao Yu, Lei Qian, Qiang Guo, Wei Hu: Joint Reasoning of Events, Participants and Locations for Plot Relation Recognition. __Proc. APWeb__
*Junyou Li, Gong Cheng, Qingxia Liu, Wen Zhang, Evgeny Kharlamov, Kalpa Gunaratna, Huajun Chen: Neural Entity Summarization with Joint Encoding and Weak Supervision. __Proc. IJCAI__
*Shuxin Li, Zixian Huang, Gong Cheng, Evgeny Kharlamov, Kalpa Gunaratna: Enriching Documents with Compact, Representative, Relevant Knowledge Graphs. __Proc. IJCAI__
*Farahnaz Akrami, Mohammed Samiul Saeef, Qingheng Zhang, Wei Hu, Chengkai Li: Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study. __Proc. SIGMOD__
*Qingxia Liu, Gong Cheng, Kalpa Gunaratna, Yuzhong Qu: ESBM: An Entity Summarization BenchMark. __Proc. ESWC %%(color:red;)(最佳资源论文提名)%%__
*Qingxia Liu, Yue Chen, Gong Cheng, Evgeny Kharlamov, Junyou Li, Yuzhong Qu: Entity Summarization with User Feedback. __Proc. ESWC %%(color:red;)(最佳研究论文奖)%%__
*JiaCheng Huang, Wei Hu, Zhifeng Bao, Yuzhong Qu: Crowdsourced Collective Entity Resolution with Relational Match Propagation. __Proc. ICDE__
*Yuxuan Shi, Gong Cheng, Evgeny Kharlamov: Keyword Search over Knowledge Graphs via Static and Dynamic Hub Labelings. __Proc. WWW__
*Ermei Cao, Difeng Wang, JiaCheng Huang, Wei Hu: Open Knowledge Enrichment for Long-tail Entities. __Proc. WWW__
*Zequn Sun, Chengming Wang, Wei Hu, Muhao Chen, Jian Dai, Wei Zhang, Yuzhong Qu: Knowledge Graph Alignment Network with Gated Multi-Hop Neighborhood Aggregation. __Proc. AAAI__
*Yawei Sun, Lingling Zhang, Gong Cheng, Yuzhong Qu: SPARQA: Skeleton-Based Semantic Parsing for Complex Questions over Knowledge Bases. __Proc. AAAI__
*Tianshuo Zhou, Ziyang Li, Gong Cheng, Jun Wang, Yuang Wei: GREASE: A Generative Model for Relevance Search over Knowledge Graphs. __Proc. WSDM__

!2019
*Jiwei Ding, Wei Hu, Qixin Xu, Yuzhong Qu: Leveraging Frequent Query Substructures to Generate Formal Queries for Complex Question Answering. __Proc. EMNLP__
*Jiwei Ding, Wei Hu, Qixin Xu, Yuzhong Qu: Mapping Factoid Adjective Constraints to Existential Restrictions over Knowledge Bases. __Proc. ISWC__
*Zequn Sun, JiaCheng Huang, Wei Hu, Muhao Chen, Lingbing Guo, Yuzhong Qu: TransEdge: Translating Relation-Contextualized Embeddings for Knowledge Graphs. __Proc. ISWC__
*Xiaxia Wang, Jinchi Chen, Shuxin Li, Gong Cheng, Jeff Z. Pan, Evgeny Kharlamov, Yuzhong Qu: A Framework for Evaluating Snippet Generation for Dataset Search. __Proc. ISWC__
*Qingheng Zhang, Zequn Sun, Wei Hu, Muhao Chen, Lingbing Guo, Yuzhong Qu: Multi-view Knowledge Graph Embedding for Entity Alignment. __Proc. IJCAI__
*Lingbing Guo, Zequn Sun, Wei Hu: Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs. __Proc. ICML__
*Yu Gu, Tianshuo Zhou, Gong Cheng, Ziyang Li, Jeff Z. Pan, Yuzhong Qu: Relevance Search over Schema-Rich Knowledge Graphs. __Proc. WSDM__
*Wentao Ding, Guanji Gao, Linfeng Shi, Yuzhong Qu: A Pattern-Based Approach to Recognizing Time Expressions. __Proc. AAAI__

!2018
*Yu Gu, Yue Liang, Gong Cheng, Daxin Liu, Ruidi Wei, Yuzhong Qu: Diversified and Verbalized Result Summarization for Semantic Association Search. __Proc. WISE__
*Yawei Sun, Gong Cheng, Yuzhong Qu: Reading Comprehension with Graph-based Temporal-Casual Reasoning. __Proc. COLING %%(color:red;)(最佳论文提名)%%__
*Zequn Sun, Wei Hu, Qingheng Zhang, Yuzhong Qu: Bootstrapping Entity Alignment with Knowledge Graph Embedding. __Proc. IJCAI__
*JiaCheng Huang, Wei Hu, Haoxuan Li, Yuzhong Qu: Automated Comparative Table Generation for Facilitating Human Intervention in Multi-Entity Resolution. __Proc. SIGIR__
*Jiwei Ding, Yuan Wang, Wei Hu, Linfeng Shi, Yuzhong Qu: Answering Multiple-Choice Questions in Geographical Gaokao with a Concept Graph. __Proc. ESWC__

!2017
*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. __Proc. ISWC__
*Zequn Sun, Wei Hu, Chengkai Li: Cross-Lingual Entity Alignment via Joint Attribute-Preserving Embedding. __Proc. ISWC__
*Kalpa Gunaratna, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan, Amit P. Sheth, Gong Cheng: Relatedness-based Multi-Entity Summarization. __Proc. IJCAI__
*Wenqiang Liu, Jun Liu, Haimeng Duan, Wei Hu, Bifan Wei: Exploiting Source-Object Networks to Resolve Object Conflicts in Linked Data. __Proc. ESWC__
*Gong Cheng, Cheng Jin, Wentao Ding, Danyun Xu, Yuzhong Qu: Generating Illustrative Snippets for Open Data on the Web. __Proc. WSDM__

!2016
*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. __Proc. ISWC__
*Gong Cheng, Daxin Liu, Yuzhong Qu: Efficient Algorithms for Association Finding and Frequent Association Pattern Mining. __Proc. ISWC__
*Gong Cheng, Weixi Zhu, Ziwei Wang, Jianghui Chen, Yuzhong Qu: Taking Up the Gaokao Challenge: An Information Retrieval Approach. __Proc. IJCAI__
*Gong Cheng, Cheng Jin, Yuzhong Qu: HIEDS: A Generic and Efficient Approach to Hierarchical Dataset Summarization. __Proc. IJCAI__
*Liang Zheng, Jiang Xu, Jidong Jiang, Yuzhong Qu, Gong Cheng: Iterative Entity Navigation via Co-clustering Semantic Links and Entity Classes. __Proc. ESWC__
*Kalpa Gunaratna, Krishnaprasad Thirunarayan, Amit P. Sheth, Gong Cheng: Gleaning Types for Literals in RDF Triples with Application to Entity Summarization. __Proc. ESWC__

!2015
*Liang Zheng, Yuzhong Qu, Jidong Jiang, Gong Cheng: Facilitating Entity Navigation Through Top-K Link Patterns. __Proc. ISWC__
*Wei Hu, Honglei Qiu, Michel Dumontier: Link Analysis of Life Science Linked Data. __Proc. ISWC__
*Qingxia Liu, Gong Cheng, Yuzhong Qu: On Coherent Indented Tree Visualization of RDF Graphs. __Proc. APWeb__
*Gong Cheng, Danyun Xu, Yuzhong Qu: Summarizing Entity Descriptions for Effective and Efficient Human-centered Entity Linking. __Proc. WWW__
*Jiwei Ding, Wentao Ding, Wei Hu, Yuzhong Qu: An EBMC-Based Approach to Selecting Types for Entity Filtering. __Proc. AAAI__

!2014
*Wei Hu, Cunxin Jia, Lei Wan, Liang He, Lixia Zhou, Yuzhong Qu: CAMO: Integration of Linked Open Data for Multimedia Metadata Enrichment. __Proc. ISWC__
*Gong Cheng, Yanan Zhang, Yuzhong Qu: Explass: Exploring Associations between Entities via Top-K Ontological Patterns and Facets. __Proc. ISWC %%(color:red;)(最佳研究论文提名)%%__
*Liang Zheng, Yuzhong Qu: An EMD-Based Similarity Measure for Multi-type Entities Using Type Hierarchy. __Proc. APWeb__
*Xiangqian Li, Jiwei Ding, Yuzhong Qu: Optimizing Alignment Selection in Ontology Matching via Homomorphism Constraint. __Proc. APWeb__
*Saisai Gong, Wei Hu, Yuzhong Qu: Leveraging Distributed Human Computation and Consensus Partition for Entity Coreference. __Proc. ESWC__
*Danyun Xu, Gong Cheng, Yuzhong Qu: Facilitating Human Intervention in Coreference Resolution with Comparative Entity Summaries. __Proc. ESWC__

!2011
*Gong Cheng, Saisai Gong, Yuzhong Qu: An Empirical Study of Vocabulary Relatedness and Its Application to Recommender Systems. __Proc. ISWC %%(color:red;)(最佳研究论文提名)%%__
*Gong Cheng, Thanh Tran, Yuzhong Qu: RELIN: Relatedness and Informativeness-Based Centrality for Entity Summarization. __Proc. ISWC__
*Nophadol Jekjantuk, Jeff Z. Pan, Yuzhong Qu: Diagnosis of Software Models with Multiple Levels of Abstraction Using Ontological Metamodeling. __Proc. COMPSAC__
*Wei Hu, Jianfeng Chen, Hang Zhang, Yuzhong Qu: How Matchable Are Four Thousand Ontologies on the Semantic Web. __Proc. ESWC__
*Wei Hu, Jianfeng Chen, Yuzhong Qu: A self-training approach for resolving object coreference on the semantic web. __Proc. WWW__

!!国际期刊论文
!录用待出版
*Targeted Training for Numerical Reasoning with Large Language Models. __Knowl. Inf. Syst.__

!2024
*Guangyao Li, Zequn Sun, Wei Hu, Gong Cheng, Yuzhong Qu: Position-Aware Relational Transformer for Knowledge Graph Embedding. __IEEE Trans. Neural Netw. Learn. Syst.__
*Wei Cheng, Wei Hu, Xiaoxing Ma: Revisiting Knowledge-Based Inference of Python Runtime Environments: A Realistic and Adaptive Approach. __IEEE Trans. Software Eng.__
*Honghu Wu, Xiangrong Zhu, Wei Hu: A Blockchain System for Clustered Federated Learning with Peer-to-Peer Knowledge Transfer. __Proc. VLDB Endow.__

!2023
*Wentao Ding, Jianhao Chen, Longfei E, Jinmao Li, Yuzhong Qu: Time expression as update operations: Normalizing time expressions via a distantly supervised neural semantic parser. __Knowl.-Based Syst.__
*Liyi Chen, Zhi Li, Weidong He, Gong Cheng, Tong Xu, Nicholas Jing Yuan, Enhong Chen: Entity Summarization via Exploiting Description Complementarity and Salience. __IEEE Trans. Neural Netw. Learn. Syst.__
*Yuxin Wang, Jieru Lin, Zhiwei Yu, Wei Hu, Börje F. Karlsson: Open-world story generation with structured knowledge enhancement: A comprehensive survey. __Neurocomputing__
*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.__
*Jiacheng Huang, Zequn Sun, Qijin Chen, Xiaozhou Xu, Weijun Ren, Wei Hu: Deep Active Alignment of Knowledge Graph Entities and Schemata. __PACMMOD__
*Gong Cheng, Qingxia Liu, Yuzhong Qu: Generating Characteristic Summaries for Entity Descriptions. __IEEE Trans. Knowl. Data Eng.__
*Xiaxia Wang, Gong Cheng, Jeff Z. Pan, Evgeny Kharlamov, Yuzhong Qu: BANDAR: Benchmarking Snippet Generation Algorithms for (RDF) Dataset Search. __IEEE Trans. Knowl. Data Eng.__
*Jiacheng Huang, Wei Hu, Zhifeng Bao, Qijin Chen, Yuzhong Qu: Deep entity matching with adversarial active learning. __VLDB J.__

!2022
*Jiwei Ding, Wei Hu, Xin Yu, Yuzhong Qu: An empirical study of representing adjectives over knowledge bases: Approach, lexicon and application. __J. Web Semant.__
*Yawei Sun, Pengwei Li, Gong Cheng, Yuzhong Qu: Skeleton parsing for complex question answering over knowledge bases. __J. Web Semant.__

!2021
*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.__
*Baifan Zhou, Yulia Svetashova, Andre Gusmao, Ahmet Soylu, Gong Cheng, Ralf Mikut, Arild Waaler, Evgeny Kharlamov: SemML: Facilitating development of ML models for condition monitoring with semantics. __J. Web Semant.__
*Qingxia Liu, Gong Cheng, Kalpa Gunaratna, Yuzhong Qu: Entity summarization: State of the art and future challenges. __J. Web Semant.__
*Gong Cheng, Daxin Liu, Yuzhong Qu: Fast Algorithms for Semantic Association Search and Pattern Mining. __IEEE Trans. Knowl. Data Eng.__

!2020
*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.__
*Shuxin Li, Gong Cheng, Chengkai Li: Relaxing relationship queries on graph data. __J. Web Semant.__

!2019
*Daxin Liu, Gong Cheng, Qingxia Liu, Yuzhong Qu: Fast and Practical Snippet Generation for RDF Datasets. __ACM Trans. Web__
*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.__

!2018
*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__
*Saisai Gong, Wei Hu, Weiyi Ge, Yuzhong Qu: Modeling Topic-Based Human Expertise for Crowd Entity Resolution. __J. Comput. Sci. Technol.__
*Liang Zheng, Yuzhong Qu, Gong Cheng: Leveraging link pattern for entity-centric exploration over Linked Data. __World Wide Web__
*Liang Zheng, Yuzhong Qu, Xinqi Qian, Gong Cheng: A hierarchical co-clustering approach for entity exploration over Linked Data. __Knowl. Based Syst.__
*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.__

!2017
*Wei Hu, Amrapali Zaveri, Honglei Qiu, Michel Dumontier: Cleaning by clustering: methodology for addressing data quality issues in biomedical metadata. __BMC Bioinform.__
*Gong Cheng, Fei Shao, Yuzhong Qu: An Empirical Evaluation of Techniques for Ranking Semantic Associations. __IEEE Trans. Knowl. Data Eng.__

!2015
*Gong Cheng, Danyun Xu, Yuzhong Qu: C3D+P: A summarization method for interactive entity resolution. __J. Web Semant.__
*Wei Hu, Cunxin Jia: A bootstrapping approach to entity linkage on the Semantic Web. __J. Web Semant.__

!2014
*Wei Hu, Rui Yang, Yuzhong Qu: Automatically generating data linkages using class-based discriminative properties. __Data Knowl. Eng.__
*Danyun Xu, Gong Cheng, Yuzhong Qu: Preferences in Wikipedia abstracts: Empirical findings and implications for automatic entity summarization. __Inf. Process. Manag.__

!2013
*Gong Cheng, Yuzhong Qu: Relatedness between vocabularies on the Web of data: A taxonomy and an empirical study. __J. Web Semant.__
*Weiyi Ge, Gong Cheng, Huiying Li, Yuzhong Qu: Incorporating compactness to generate term-association view snippets for ontology search. __Inf. Process. Manag.__

!2011
*Wei Hu, Yuzhong Qu, Xingzhi Sun: Bootstrapping Object Coreferencing on the Semantic Web. __J. Comput. Sci. Technol.__
*Yuzhong Qu, Gong Cheng: Falcons Concept Search: A Practical Search Engine for Web Ontologies. __IEEE Trans. Syst. Man Cybern. Part A__

!!中文期刊论文
!2023
*孙泽群, 崔员宁, 胡伟: 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__

!2022
*朱向荣, 吴鸿祜, 胡伟: FactChain：一个基于区块链的众包知识融合系统. __软件学报__

!2021
*孙亚伟, 程龚, 厉肖, 瞿裕忠: 基于图匹配网络的可解释知识图谱复杂问答方法. __计算机研究与发展__

!2020
*刘庆霞, 程龚, 瞿裕忠: 一种高可读低冗余实体摘要的生成方法. __中国科学:信息科学__

!2017
*顾荣, 仇红剑, 杨文家, 胡伟, 袁春风, 黄宜华: Goldfish：基于矩阵分解的大规模RDF数据存储与查询系统. __计算机学报__

!2012
*贾存鑫, 胡伟, 柏文阳, 瞿裕忠: SMap:基于语义的关系数据库模式与OWL本体间映射方法. __计算机研究与发展__
*胡伟, 柏文阳, 瞿裕忠: 语义Web中对象共指的消解研究. __软件学报__

!2011
*李慧颖, 瞿裕忠: KREAG:基于实体三元组关联图的RDF数据关键词查询方法. __计算机学报__