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At line 2 changed 4 lines
!《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]
!《图论与算法》
程龚. 清华大学出版社. 待出版
*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.
At line 9 changed 6 lines
*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__
*Knowledge graph-guided retrieval augmented generation. __Proc. NAACL__
*Controllable protein sequence generation with LLM preference optimization. __Proc. AAAI__
At line 10 added 23 lines
!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__
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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.__
*Transfer-and-fusion: Integrated link prediction across knowledge graphs. __IEEE Trans. Knowl. Data Eng.__
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!2025
*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.__
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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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!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__
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