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!!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.
!!!书
!《语义网技术体系》
瞿裕忠, 胡伟, 程龚. 科学出版社. 2015年. [京东|https://item.jd.com/11797062.html] [当当|http://product.dangdang.com/23807285.html]
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!!国际会议论文
!!!国际会议论文
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*GraDaSE: Graph-Based Dataset Search with Examples. __Proc. EMNLP__
*Mixture of LoRA experts for continual information extraction with LLMs. __Findings of EMNLP__
*Avoiding knowledge edit skipping in multi-hop question answering with guided decomposition. __Findings of EMNLP__
*TRAWL: External Knowledge-Enhanced Recommendation with LLM Assistance. __Proc. CIKM__
*Parameter-efficient Federated Knowledge Graph Embedding Learning and Unlearning. __Proc. ISWC__
*mmRAG: A Modular Benchmark for Retrieval-Augmented Generation over Text, Tables, and Knowledge Graphs. __Proc. ISWC__
*Are LLMs Really Knowledgeable for Knowledge Graph Completion? __Proc. ISWC__
!2025
*Xiang Huang, Jiayu Shen, Shanshan Huang, Sitao Cheng, Xiaxia Wang, Yuzhong Qu: TARGA: Targeted Synthetic Data Generation for Practical Reasoning over Structured Data. __Proc. ACL__
*Rongzhi Zhu, Xiangyu Liu, Zequn Sun, Yiwei Wang, Wei Hu: Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question Answering. __Proc. ACL__
*Xiang Huang, Ting-En Lin, Feiteng Fang, Yuchuan Wu, Hangyu Li, Yuzhong Qu, Fei Huang, Yongbin Li: Reverse Preference Optimization for Complex Instruction Following. __Findings of ACL__
*Xiao Zhou, Qiaosheng Chen, Jiageng Chen, Gong Cheng: μDS: Multi-Objective Data Snippet Extraction for Dataset Search. __Proc. SIGIR__
*Qiaosheng Chen, Kaijia Huang, Xiao Zhou, Weiqing Luo, Yuanning Cui, Gong Cheng: Benchmarking Recommendation, Classification, and Tracing Based on Hugging Face Knowledge Grap. __Proc. SIGIR__
*Xiangrong Zhu, Yuexiang Xie, Yi Liu, Yaliang Li, Wei Hu: Knowledge Graph-Guided Retrieval Augmented Generation. __Proc. NAACL__
*Xiangyu Liu, Yi Liu, Silei Chen, Wei Hu: Controllable Protein Sequence Generation with LLM Preference Optimization. __Proc. AAAI__
!2024
*Yuanning Cui, Zequn Sun, Wei Hu: A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning. __Proc. NeurIPS__
*Zixian Huang, Wenhao Zhu, Gong Cheng, Lei Li, Fei Yuan: MindMerger: Efficiently Boosting LLM Reasoning in non-English Languages. __Proc. NeurIPS__
*Qiaosheng Chen, Xiao Zhou, Zhiyang Zhang, Gong Cheng: DUNKS: Chunking and Summarizing Large and Heterogeneous Data for Dataset Search. __Proc. ISWC__
*Yang Liu, Xiaobin Tian, Zequn Sun, Wei Hu: Finetuning Generative Large Language Models with Discrimination Instructions for Knowledge Graph Completion. __Proc. ISWC__
*Zhoutian Shao, Yuanning Cui, Wei Hu: Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-starting Progressive Propagation. __Proc. ISWC__
*Xinyi Wang, Wenzheng Zhao, Xiangrong Zhu, Wei Hu: Can ChatGPT Solve Relation Extraction? An Extensive Assessment via Design Choice Exploration. __Proc. NLPCC__
*Huan Zhang, Wei Cheng, Yuhan Wu, Wei Hu: A Pair Programming Framework for Code Generation via Multi-Plan Exploration and Feedback-Driven Refinement. __Proc. ASE %%(color:red;)(杰出论文奖)%%__
*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__
*Xiaxia Wang, Gong Cheng: A Survey on Extractive Knowledge Graph Summarization: Applications, Approaches, Evaluation, and Future Directions. __Proc. IJCAI__
*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__
*Enhancing document-level relation extraction by entity knowledge injection. __ISWC__
*Facing changes: Continual entity alignment for growing knowledge graphs. __ISWC__
*μKG: A library for multi-source knowledge graph embeddings and applications. __ISWC__
*Executable Knowledge Graph for Machine Learning: A Bosch Case for Welding Monitoring. __ISWC__
*Ontology Reshaping System for Knowledge Graph Construction: Applied on Bosch Welding Case. __ISWC__
*Dual graph convolutional networks for document-level event causality identification. __APWeb__
*Ensemble Semi-supervised Entity Alignment via Cycle-teaching. __AAAI__
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*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__
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*Zixian Huang, Ao Wu, Jiaying Zhou, Yu Gu, Yue Zhao, Gong Cheng: Clues Before Answers: Generation-Enhanced Multiple-Choice QA. __Proc. NAACL__
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*Kexuan Xin, Zequn Sun, Wen Hua, Bing Liu, Wei Hu, Jianfeng Qu, Xiaofang Zhou: Ensemble Semi-supervised Entity Alignment via Cycle-Teaching. __Proc. AAAI__
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!!国际期刊论文
!!!国际期刊论文
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*Continual document-level relation extraction with partial labeling compensation. __Front. Comput. Sci.__
*Evidence selection via multi-aspect query diversification for cross-document relation extraction. __Int. J. Intell. Inf. Technol.__
*Transfer-and-fusion: Integrated link prediction across knowledge graphs. __IEEE Trans. Knowl. Data Eng.__
!2025
*Yang Liu, Xiaoxia Jiang, Yuanning Cui, Yu Wang, Wei Hu: Missing data recovery for heterogeneous graphs with incremental multi-source data fusion. __Front. Comput. Sci.__
*Xiao Li, Sichen Liu, Yin Zhu, Gong Cheng: Targeted training for numerical reasoning with large language models. __Knowl. Inf. Syst.__
*Zixian Huang, Xinwei Huang, Ao Wu, Xiaxia Wang, Gong Cheng: Transforming decoder-only models into encoder-only models with improved understanding capabilities. __Knowl. Based 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.__
*Deep entity matching with adversarial active learning. __VLDB J.__
*Entity Summarization via Exploiting Description Complementarity and Salience. __IEEE Trans. Neural Netw. Learn. Syst.__
*Generating Characteristic Summaries for Entity Descriptions. __IEEE Trans. Knowl. Data Eng.__
*BANDAR: Benchmarking Snippet Generation Algorithms for (RDF) Dataset Search. __IEEE Trans. Knowl. Data Eng.__
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*Liang Zheng, Yuzhong Qu, Xinqi Qian, Gong Cheng: A hierarchical co-clustering approach for entity exploration over Linked Data. __Knowl.-Based Syst.__
*Liang Zheng, Yuzhong Qu, Xinqi Qian, Gong Cheng: A hierarchical co-clustering approach for entity exploration over Linked Data. __Knowl. Based Syst.__
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!!中文期刊论文
!2024
*崔员宁, 孙泽群, 胡伟. 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__
!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__
!!!中文期刊论文
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This page (revision-102) was last changed on 04-Oct-2025 22:52 by 程龚Top