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 [2025/08/24 08:25] – whu
+++ team:publications [2025/11/09 09:05] (当前版本) – [2025 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，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**。
+**知识图谱**是融合知识表示与推理 (AAAI, IJCAI)、语义网 (WWW, ISWC) 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//
@@ 行 7: / 行 7: @@
 ==== 2026 年 ====
-  - Ziqi Wang, Jingzhe Zhang, Wei Hu$^\star$.\\ WoW: A window-to-window incremental index for range-filtering approximate nearest neighbor search.\\ In: //SIGMOD//, 2026.
+  - Ziqi Wang, Jingzhe Zhang, Wei Hu$^\star$.\\ WoW: A window-to-window incremental index for range-filtering approximate nearest neighbor search.\\ In: //SIGMOD//, 3(6):378, 2026. [[https://arxiv.org/abs/2508.18617|arXiv]] [[https://github.com/nju-websoft/WoW|GitHub]]
+  - Xiangyu Liu, Haodi Lei, Yi Liu, Yang Liu, Wei Hu$^\star$.\\ ProtSAE: Disentangling and interpreting protein language models via semantically-guided sparse autoencoders.\\ In: //AAAI//, 2026.
+  - Yi Liu, Xiangyu Liu, Zequn Sun, Wei Hu$^\star$.\\ Answering the unanswerable is to err knowingly: Analyzing and mitigating abstention failures in large reasoning models.\\ In: //AAAI//, 2026.
+  - Jianhao Chen, Zishuo Xun$^\triangle$, Bocheng Zhou$^\triangle$, Han Qi$^\triangle$, Hangfan Zhang$^\triangle$, Qiaosheng Zhang$^\triangle$, Yang Chen$^\triangle$, Wei Hu, Yuzhong Qu, Shuyue Hu$^\triangle$.\\ Do we truly need so many samples? Multi-LLM repeated sampling efficiently scales test-time compute.\\ In: //AAAI//, 2026.
 ==== 2025 年 ====
@@ 行 13: / 行 16: @@
   - 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//, 505--513, 2025. [[http://arxiv.org/abs/2501.15007|arXiv]] [[https://github.com/nju-websoft/CtrlProt|GitHub]]
-  - Rongzhi Zhu, Xiangyu Liu, Zequn Sun$^\star$, Yiwei Wang$^\triangle$, Wei Hu.\\ Mitigating lost-in-retrieval problems in retrieval augmented multi-hop question answering.\\ In: //ACL//, 2025. [[https://arxiv.org/abs/2502.14245|arXiv]] [[https://github.com/nju-websoft/ChainRAG|GitHub]]
+  - Rongzhi Zhu, Xiangyu Liu, Zequn Sun$^\star$, Yiwei Wang$^\triangle$, Wei Hu.\\ Mitigating lost-in-retrieval problems in retrieval augmented multi-hop question answering.\\ In: //ACL//, 22362--22375, 2025. [[https://arxiv.org/abs/2502.14245|arXiv]] [[https://github.com/nju-websoft/ChainRAG|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]]
+  - Yang Liu, Zequn Sun$^\star$, Zhoutian Shao, Yuanning Cui, Wei Hu.\\ Are LLMs really knowledgeable for knowledge graph completion?\\ In: //ISWC//, 77--95, 2025. **Resource track spotlight**. [[https://github.com/nju-websoft/ProbeKGC|GitHub]]
+  - Xiangrong Zhu, Yuexiang Xie$^\triangle$, Yang Liu, Yaliang Li$^\triangle$, Wei Hu$^\star$.\\ Parameter-efficient federated knowledge graph embedding learning and unlearning.\\ In: //ISWC//, 462--480, 2025. [[https://github.com/nju-websoft/PFLU|GitHub]]
+  - Xiangrong Zhu, Yuexiang Xie$^\triangle$, Yi Liu, Yaliang Li$^\triangle$, Wei Hu.\\ Knowledge graph-guided retrieval augmented generation.\\ In: //NAACL//, 8912--8924, 2025. [[https://arxiv.org/abs/2502.06864|arXiv]] [[https://github.com/nju-websoft/KG2RAG|GitHub]]
   - Xinyi Wang, Zitao Wang, Yuan Feng$^\triangle$, Wei Hu$^\star$.\\ Continual document-level relation extraction with partial labeling compensation.\\ Frontiers of Computer Science, 2025. [[https://doi.org/10.1007/s11704-025-50492-z|HEP]]
   - Yang Liu, Xiaoxia Jiang$^\triangle$, Yuanning Cui, Yu Wang$^\triangle$, Wei Hu$^\star$.\\ Missing data recovery for heterogeneous graphs with incremental multi-source data fusion.\\ Frontiers of Computer Science, 2025. [[https://doi.org/10.1007/s11704-025-41420-2|HEP]]
-  - Xiangrong Zhu, Yuexiang Xie$^\triangle$, Yang Liu, Yaliang Li$^\triangle$, Wei Hu$^\star$.\\ Parameter-efficient federated knowledge graph embedding learning and unlearning.\\ In: //ISWC//, 2025.
+  - Zitao Wang, Xinyi Wang, Wei Hu$^\star$.\\ Mixture of LoRA experts for continual information extraction with LLMs.\\ In: //EMNLP Findings//, 13324--13339, 2025.
-  - Yang Liu, Zequn Sun$^\star$, Zhoutian Shao, Yuanning Cui, Wei Hu.\\ Are LLMs really knowledgeable for knowledge graph completion?\\ In: //ISWC (Resource Track)//, 2025.
+  - Yi Liu, Xiangrong Zhu, Xiangyu Liu, Wei Wei, Wei Hu$^\star$.\\ Avoiding knowledge edit skipping in multi-hop question answering with guided decomposition.\\ In: //EMNLP Findings//, 16256--16272, 2025. [[https://arxiv.org/abs/2509.07555|arXiv]]
-  - Zitao Wang, Xinyi Wang, Wei Hu$^\star$.\\ Mixture of LoRA experts for continual information extraction with LLMs.\\ In: //EMNLP Findings//, 2025.
-  - Yi Liu, Xiangrong Zhu, Xiangyu Liu, Wei Wei, Wei Hu$^\star$.\\ Avoiding knowledge edit skipping in multi-hop question answering with guided decomposition.\\ In: //EMNLP Findings//, 2025.
   - Xinyi Wang, Xiangrong Zhu, Wei Hu$^\star$.\\ Evidence selection via multi-aspect query diversification for cross-document relation extraction.\\ Journal of Intelligent Information Systems, 2025. [[https://doi.org/10.1007/s10844-025-00952-6|Springer]]
   - 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 ====