差别

这里会显示出您选择的修订版和当前版本之间的差别。

--- team:publications [2023/09/25 18:52] – [2023 年] whu
+++ team:publications [2024/10/29 17:31] (当前版本) – [2024 年] whu
@@ 行 1: / 行 1: @@
 ====== 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//
+==== 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//, 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//, 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//, 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//, 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//, 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]]
+  - 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. [[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.
+  - 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 ====
+  - Wei Cheng, Wei Hu$^\star$, Xiaoxing Ma.\\ Revisiting knowledge-based inference of Python runtime environments: A realistic and adaptive approach.\\ IEEE Transactions on Software Engineering, 2023. [[https://doi.org/10.1109/tse.2023.3346474|IEEE]] [[https://github.com/nju-websoft/ReadPyE|GitHub]]
   - Jiacheng Huang, Zequn Sun, Qijin Chen$^\triangle$, Xiaozhou Xu$^\triangle$, Weijun Ren$^\triangle$, Wei Hu$^\star$.\\ Deep active alignment of knowledge graph entities and schemata.\\ In: //SIGMOD//, 1(2):159, 2023. [[https://arxiv.org/abs/2304.04389|arXiv]] [[https://github.com/nju-websoft/DAAKG|GitHub]]
   - Zequn Sun, Jiacheng Huang, Jinghao Lin$^\triangle$, Xiaozhou Xu$^\triangle$, Qijin Chen$^\triangle$, Wei Hu$^\star$.\\ Joint pre-training and local re-training: Transferable representation learning on multi-source knowledge graphs.\\ In: //KDD//, 2132--2144, 2023. [[https://arxiv.org/abs/2306.02679|arXiv]] [[https://github.com/nju-websoft/MuKGE|GitHub]]
-  - Zequn Sun, Jiacheng Huang, Xiaozhou Xu$^\triangle$, Qijin Chen$^\triangle$, Weijun Ren$^\triangle$, Wei Hu$^\star$.\\ What makes entities similar? A similarity flooding perspective for multi-sourced knowledge graph embeddings.\\ In: //ICML//, 2023. [[https://arxiv.org/abs/2306.02622|arXiv]] [[https://github.com/nju-websoft/Unify-EA-SF|GitHub]]
+  - Zequn Sun, Jiacheng Huang, Xiaozhou Xu$^\triangle$, Qijin Chen$^\triangle$, Weijun Ren$^\triangle$, Wei Hu$^\star$.\\ What makes entities similar? A similarity flooding perspective for multi-sourced knowledge graph embeddings.\\ In: //ICML//, 32875--32885, 2023. [[https://arxiv.org/abs/2306.02622|arXiv]] [[https://github.com/nju-websoft/Unify-EA-SF|GitHub]]
   - Xiangrong Zhu, Guangyao Li, Wei Hu$^\star$.\\ Heterogeneous federated knowledge graph embedding learning and unlearning.\\ In: //WWW//, 2444--2454, 2023. [[https://arxiv.org/abs/2302.02069|arXiv]] [[https://github.com/nju-websoft/FedLU|GitHub]]
   - Wenzheng Zhao, Yuanning Cui, Wei Hu$^\star$.\\ Improving continual relation extraction by distinguishing analogous semantics.\\ In: //ACL//, 1162--1175, 2023. [[http://arxiv.org/abs/2305.06620|arXiv]] [[https://github.com/nju-websoft/CEAR|GitHub]]
   - Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu$^\triangle$, Yiqiao Jiang$^\triangle$, Kexin Han$^\triangle$, Wei Hu$^\star$.\\ Lifelong embedding learning and transfer for growing knowledge graphs.\\ In: //AAAI//, 4217--4224, 2023. [[https://arxiv.org/abs/2211.15845|arXiv]] [[https://github.com/nju-websoft/LKGE|GitHub]]
-  - 孙泽群, 崔员宁, 胡伟$^\star$.\\ 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 (知识赋能的信息系统专刊)//, 2023. [[https://github.com/nju-websoft/LifeKE|GitHub]]
+  - 孙泽群, 崔员宁, 胡伟$^\star$.\\ 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 (知识赋能的信息系统专刊)//, 34(10):4501--4517, 2023. [[https://github.com/nju-websoft/LifeKE|GitHub]]
   - Guangyao Li, Zequn Sun, Wei Hu$^\star$, Gong Cheng, Yuzhong Qu.\\ Position-aware relational transformer for knowledge graph embedding.\\ //IEEE Transactions on Neural Networks and Learning Systems//, 2023. [[https://doi.org/10.1109/TNNLS.2023.3262937|IEEE]] [[https://github.com/nju-websoft/Knowformer|GitHub]]
+  - Zitao Wang, Xinyi Wang, Wei Hu$^\star$.\\ Continual event extraction with semantic confusion rectification.\\ In: //EMNLP//, 11945--11955, 2023. [[http://arxiv.org/abs/2310.15470|arXiv]] [[https://github.com/nju-websoft/SCR|GitHub]]
   - Xinyi Wang, Zitao Wang, Wei Hu$^\star$.\\ Serial contrastive knowledge distillation for continual few-shot relation extraction.\\ In: //Findings of ACL//, 12693--12706, 2023. [[http://arxiv.org/abs/2305.06616|arXiv]] [[https://github.com/nju-websoft/SCKD|GitHub]]
-  - Yuxin Wang, Jieru Lin$^\triangle$, Zhiwei Yu$^\triangle$, Wei Hu$^\star$, Börje F. Karlsson$^\triangle$.\\ Open-world story generation with structured knowledge enhancement: A comprehensive survey.\\ //Neurocomputing//, 2023.
+  - Yuxin Wang, Jieru Lin$^\triangle$, Zhiwei Yu$^\triangle$, Wei Hu$^\star$, Börje F. Karlsson$^\triangle$.\\ Open-world story generation with structured knowledge enhancement: A comprehensive survey.\\ //Neurocomputing//, 2023. [[https://www.sciencedirect.com/science/article/pii/S0925231223009153|Elsevier]]
   - 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.\\ In: //IJCAI//, 3839--3847, 2023.
   - Ziyang Li, Yu Gu$^\triangle$, Yulin Shen, Wei Hu, Gong Cheng$^\star$.\\ TRAVERS: A diversity-based dynamic approach to iterative relevance search over knowledge graphs.\\ In: //WWW//, 2560--2571, 2023.