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The Knowledge Mining team $\sqsubseteq$ The Websoft research group

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后一修订版		前一修订版
team:publications [2024/10/29 17:30] – [2024 年] whuteam:publications [2025/03/25 16:36] (当前版本) – [2025 年] whu
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 **标记**：$^\star$//通讯作者//；$^\dagger$//共同一作//；$^\triangle$//外单位合作者// **标记**：$^\star$//通讯作者//；$^\dagger$//共同一作//；$^\triangle$//外单位合作者//
  
 +==== 2025 年 ====
 +
 +  - Yuanning Cui, Zequn Sun, Wei Hu$^\star$.\\ Transfer-and-fusion: Integrated link prediction across knowledge graphs.\\ IEEE Transactions on Knowledge and Data Engineering, 2025. [[https://doi.org/10.1109/TKDE.2025.3544255|IEEE]] [[https://github.com/nju-websoft/CLP|GitHub]]
 +  - Xiangyu Liu, Yi Liu, Silei Chen, Wei Hu$^\star$.\\ Controllable protein sequence generation with LLM preference optimization.\\ In: //AAAI//, 2025. [[http://arxiv.org/abs/2501.15007|arXiv]] [[https://github.com/nju-websoft/CtrlProt|GitHub]]
 +  - Xiangrong Zhu, Yuexiang Xie$^\triangle$, Yi Liu, Yaliang Li$^\triangle$, Wei Hu.\\ Knowledge graph-guided retrieval augmented generation.\\ In: //NAACL//, 2025. [[https://arxiv.org/abs/2502.06864|arXiv]] [[https://github.com/nju-websoft/KG2RAG|GitHub]]
 +  - Wei Hu, Zequn Sun.\\ Knowledge fusion.\\ In: //Handbook on Neurosymbolic AI and Knowledge Graphs//, 300--318, 2025. [[https://ebooks.iospress.nl/volume/handbook-on-neurosymbolic-ai-and-knowledge-graphs|IOS]]
 ==== 2024 年 ==== ==== 2024 年 ====
  
-  - 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** [[https://arxiv.org/abs/2409.05001|arXiv]] [[https://github.com/nju-websoft/PairCoder|GitHub]]+  - 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**. [[https://arxiv.org/abs/2409.05001|arXiv]] [[https://github.com/nju-websoft/PairCoder|GitHub]]
   - Yuanning Cui, Zequn Sun, Wei Hu$^\star$.\\ A prompt-based knowledge graph foundation model for universal in-context reasoning.\\ In: //NeurIPS//, 2024. [[https://arxiv.org/abs/2410.12288|arXiv]] [[https://github.com/nju-websoft/KG-ICL|GitHub]]   - Yuanning Cui, Zequn Sun, Wei Hu$^\star$.\\ A prompt-based knowledge graph foundation model for universal in-context reasoning.\\ In: //NeurIPS//, 2024. [[https://arxiv.org/abs/2410.12288|arXiv]] [[https://github.com/nju-websoft/KG-ICL|GitHub]]
   - 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. [[https://www.vldb.org/pvldb/vol17/p966-hu.pdf|PVLDB]] [[https://github.com/nju-websoft/FedChain|GitHub]]   - 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. [[https://www.vldb.org/pvldb/vol17/p966-hu.pdf|PVLDB]] [[https://github.com/nju-websoft/FedChain|GitHub]]
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   - 崔员宁, 孙泽群, 胡伟$^\star$.\\ 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//, 61(8):2030--2044, 2024.   - 崔员宁, 孙泽群, 胡伟$^\star$.\\ 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//, 61(8):2030--2044, 2024.
   - Xindi Luo, Zequn Sun$^\star$, Jing Zhao$^{\triangle,\star}$, Zhe Zhao$^{\triangle,\star}$, Wei Hu$^\star$.\\ KnowLA: Enhancing parameter-efficient finetuning with knowledgeable adaptation.\\ In: //NAACL//, 7146--7159, 2024. [[http://arxiv.org/abs/2403.14950|arXiv]] [[https://github.com/nju-websoft/KnowLA|GitHub]]   - Xindi Luo, Zequn Sun$^\star$, Jing Zhao$^{\triangle,\star}$, Zhe Zhao$^{\triangle,\star}$, Wei Hu$^\star$.\\ KnowLA: Enhancing parameter-efficient finetuning with knowledgeable adaptation.\\ In: //NAACL//, 7146--7159, 2024. [[http://arxiv.org/abs/2403.14950|arXiv]] [[https://github.com/nju-websoft/KnowLA|GitHub]]
-  - Yang Liu, Xiaobin Tian, Zequn Sun$^\star$, Wei Hu.\\ Finetuning generative large language models with discrimination instructions for knowledge graph completion.\\ In: //ISWC//, 2024. [[https://arxiv.org/abs/2407.16127|arXiv]] [[https://github.com/nju-websoft/DIFT|GitHub]] +  - 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. [[https://arxiv.org/abs/2407.16127|arXiv]] [[https://github.com/nju-websoft/DIFT|GitHub]] 
-  - Zhoutian Shao, Yuanning Cui, Wei Hu$^\star$.\\ Expanding the scope: Inductive knowledge graph reasoning with multi-starting progressive propagation.\\ In: //ISWC//, 2024. [[https://arxiv.org/abs/2407.10430|arXiv]] [[https://github.com/nju-websoft/MStar|GitHub]] +  - Zhoutian Shao, Yuanning Cui, Wei Hu$^\star$.\\ Expanding the scope: Inductive knowledge graph reasoning with multi-starting progressive propagation.\\ In: //ISWC//, 41--58, 2024. [[https://arxiv.org/abs/2407.10430|arXiv]] [[https://github.com/nju-websoft/MStar|GitHub]] 
-  - Xinyi Wang, Wenzheng Zhao, Xiangrong Zhu, Wei Hu$^\star$.\\ Can ChatGPT solve relation extraction? An extensive assessment via design choice exploration.\\ In: //NLPCC//, 2024. +  - 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. 
-  - 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. +  - 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. 
  
 ==== 2023 年 ==== ==== 2023 年 ====
team/publications.1730194219.txt.gz · 最后更改: 2024/10/29 17:30 由 whu