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版本 修改日期 大小 作者 变更... 变更注释
64 22-四月-2024 22:33 23 KB 程龚 前一版本
63 22-四月-2024 22:30 23 KB 程龚 前一版本 | 最新版本
62 22-四月-2024 22:20 23 KB 程龚 前一版本 | 最新版本
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!《图论与算法》
程龚. 清华大学出版社. 待出版
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*Enhancing Dataset Search with Compact Data Snippets. __Proc. SIGIR__
*ACORDAR 2.0: A Test Collection for Ad Hoc Dataset Retrieval with Densely Pooled Datasets and Question-Style Queries. __Proc. SIGIR__
*KnowLA: Enhancing parameter-efficient finetuning with knowledgeable adaptation. __Proc. NAACL__
*Exploring Key Point Analysis with Pairwise Generation and Graph Partitioning. __Proc. NAACL__
*Enhancing Complex Question Answering over Knowledge Graphs through Evidence Pattern Retrieval. __Proc. WWW__
*A Fast Hop-Biased Approximation Algorithm for the Quadratic Group Steiner Tree Problem. __Proc. WWW__
*A Branching Decoder for Set Generation. __Proc. ICLR__
*Knowledge graph error detection with contrastive confidence adaption. __Proc. AAAI__
*Generating explanations to understand and repair embedding-based entity alignment. __Proc. ICDE__
*Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs. __AAAI__
*PaTeCon: A Pattern-Based Temporal Constraint Mining Method for Conflict Detection on Knowledge Graphs. __AAAI__
*Question Decomposition Tree for Answering Complex Questions over Knowledge Bases. __AAAI__
*DyRRen: A Dynamic Retriever-Reranker-Generator Model forNumerical Reasoning over Tabular and Textual Data. __AAAI__
*Semantic Framework based Query Generation for Temporal Question Answering over Knowledge Graphs. __EMNLP__
*TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Base. __EMNLP__
*Museformer: Transformer with fine- and coarse-grained attention for music generation. __NeurIPS__
*Inductive knowledge graph reasoning for multi-batch emerging entities. __CIKM__
*I know what you do not know: Knowledge graph embedding via co-distillation learning. __CIKM__
*Dual graph convolutional networks for document-level event causality identification. __APWeb__
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!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__
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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__
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*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__
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*Revisiting knowledge-based inference of Python runtime environments: A realistic and adaptive approach. __IEEE Trans. Software Eng.__
*A blockchain system for clustered federated learning with peer-to-peer knowledge transfer. __Proc. VLDB Endow.__
*Position-aware Relational Transformer for Knowledge Graph Embedding. __IEEE Trans. Neural Netw. Learn. Syst.__
*Revisiting embedding-based entity alignment: A robust and adaptive method. __IEEE Trans. Knowl. Data Eng.__
*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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!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.__
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!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__
该页面（修订版 64）最后由 程龚 在 22-四月-2024 22:33 修改。Top