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--- team:publications [2024/06/27 16:54] – [2024 年] whu
+++ team:publications [2024/10/29 17:31] (当前版本) – [2024 年] whu
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 ====== 论文 ======
-**知识图谱**是融合知识表示与推理 (AAAI, IJCAI)、语义网 (WWW, ISWC, JoWS) 与自然语言处理 (ACL, EMNLP)、数据库 (SIGMOD, VLDB, ICDE, VLDB J) 与信息检索 (SIGIR)、机器学习 (ICML, NeurIPS, TNNLS) 与数据挖掘 (KDD, TKDE) 等方向交叉的**关键共性技术**。
+**知识图谱**是融合知识表示与推理 (AAAI, IJCAI)、语义网 (WWW, ISWC, JoWS) 与自然语言处理 (ACL, EMNLP，NAACL)、数据库 (SIGMOD, VLDB, ICDE, VLDB J) 与信息检索 (SIGIR)、机器学习 (ICML, NeurIPS, TNNLS) 与数据挖掘 (KDD, TKDE) 等方向交叉的**关键共性技术**。
 **标记**：$^\star$//通讯作者//；$^\dagger$//共同一作//；$^\triangle$//外单位合作者//
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 ==== 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]]
+  - 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]]
-  - Yi Liu, Xiangyu Liu, Xiangrong Zhu, Wei Hu$^\star$.\\ Multi-aspect controllable text generation with disentangled counterfactual augmentation.\\ In: //ACL//, 2024.
+  - Yi Liu, Xiangyu Liu, Xiangrong Zhu, Wei Hu$^\star$.\\ Multi-aspect controllable text generation with disentangled counterfactual augmentation.\\ In: //ACL//, 9231--9253, 2024. [[https://arxiv.org/abs/2405.19958|arXiv]] [[https://github.com/nju-websoft/MAGIC|GitHub]]
-  - Wei Cheng, Yuhan Wu, Wei Hu$^\star$.\\ Dataflow-guided retrieval augmentation for repository-level code completion.\\ In: //ACL//, 2024.
+  - Wei Cheng, Yuhan Wu, Wei Hu$^\star$.\\ Dataflow-guided retrieval augmentation for repository-level code completion.\\ In: //ACL//, 7957--7977, 2024. [[https://arxiv.org/abs/2405.19782|arXiv]] [[https://github.com/nju-websoft/DraCo|GitHub]]
-  - Xiaobin Tian, Zequn Sun$^\star$, Wei Hu$^\star$.\\ Generating explanations to understand and repair embedding-based entity alignment.\\ In: //ICDE//, 2024. [[https://arxiv.org/abs/2312.04877|arXiv]] [[https://github.com/txb-nju/ExEA|GitHub]]
+  - Xiaobin Tian, Zequn Sun$^\star$, Wei Hu$^\star$.\\ Generating explanations to understand and repair embedding-based entity alignment.\\ In: //ICDE//, 2205--2217, 2024. [[https://arxiv.org/abs/2312.04877|arXiv]] [[https://github.com/txb-nju/ExEA|GitHub]]
-  - Xiangyu Liu, Yang Liu, Wei Hu$^\star$.\\ Knowledge graph error detection with contrastive confidence adaption.\\ In: //AAAI//, 2024. [[https://arxiv.org/abs/2312.12108|arXiv]] [[https://github.com/nju-websoft/CCA|GitHub]]
+  - Xiangyu Liu, Yang Liu, Wei Hu$^\star$.\\ Knowledge graph error detection with contrastive confidence adaption.\\ In: //AAAI//, 8824--8831, 2024. [[https://arxiv.org/abs/2312.12108|arXiv]] [[https://github.com/nju-websoft/CCA|GitHub]]
-  - 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//, 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//, 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.
+  - 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]]
-  - Zhoutian Shao, Yuanning Cui, Wei Hu$^\star$.\\ Expanding the scope: Inductive knowledge graph reasoning with multi-starting progressive propagation.\\ In: //ISWC//, 2024.
+  - 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]]
-  - 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//, 2024.
+  - Xinyi Wang, Wenzheng Zhao, Xiangrong Zhu, Wei Hu$^\star$.\\ Can ChatGPT solve relation extraction? An extensive assessment via design choice exploration.\\ In: //NLPCC//, 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 ====