Clinga: Bringing Chinese Physical and Human Geography in Linked Open Data. - Wei Hu 007; Haoxuan Li; Zequn Sun; Xinqi Qian; Lingkun Xue; Ermei Cao; Yuzhong Qu (ISWC (2), 2016)

njuLink: results for instance matching at OAEI 2017. - Xinze Lyu; Qingheng Zhang; Wei Hu 007; Zequn Sun; Yuzhong Qu (OM@ISWC, 2017)

Cross-Lingual Entity Alignment via Joint Attribute-Preserving Embedding. - Zequn Sun; Wei Hu 007; Chengkai Li 001 (ISWC (1), 2017)

Towards Answering Geography Questions in Gaokao: A Hybrid Approach. - Zhiwei Zhang 001; Lingling Zhang; Hao Zhang; Weizhuo He; Zequn Sun; Gong Cheng 001; Qizhi Liu; Xinyu Dai; Yuzhong Qu (CCKS, 2018)

Bootstrapping Entity Alignment with Knowledge Graph Embedding. - Zequn Sun; Wei Hu 007; Qingheng Zhang; Yuzhong Qu (IJCAI, 2018)

Recurrent Skipping Networks for Entity Alignment. - Lingbing Guo; Zequn Sun; Ermei Cao; Wei Hu 007 (CoRR, 2018)

Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs. - Lingbing Guo; Zequn Sun; Wei Hu 007 (ICML, 2019)

Multi-view Knowledge Graph Embedding for Entity Alignment. - Qingheng Zhang; Zequn Sun; Wei Hu 007; Muhao Chen 001; Lingbing Guo; Yuzhong Qu (IJCAI, 2019)

MultiKE: a Multi-view Knowledge Graph Embedding Framework for Entity Alignment. - Wei Hu 007; Qingheng Zhang; Zequn Sun; Jiacheng Huang 001 (OM@ISWC, 2019)

TransEdge: Translating Relation-Contextualized Embeddings for Knowledge Graphs. - Zequn Sun; Jiacheng Huang 001; Wei Hu 007; Muhao Chen 001; Lingbing Guo; Yuzhong Qu (ISWC (1), 2019)

Learning to Complete Knowledge Graphs with Deep Sequential Models. - Lingbing Guo; Qingheng Zhang; Wei Hu 007; Zequn Sun; Yuzhong Qu (Data Intell., 2019)

Knowledge Graph Alignment Network with Gated Multi-Hop Neighborhood Aggregation. - Zequn Sun; Chengming Wang; Wei Hu 007; Muhao Chen 001; Jian Dai; Wei Zhang; Yuzhong Qu (AAAI, 2020)

Knowledge Association with Hyperbolic Knowledge Graph Embeddings. - Zequn Sun; Muhao Chen 001; Wei Hu 007; Chengming Wang; Jian Dai; Wei Zhang (EMNLP (1), 2020)

TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs. - Zequn Sun; Jiacheng Huang 001; Wei Hu 007; Muchao Chen; Lingbing Guo; Yuzhong Qu (CoRR, 2020)

Decentralized Knowledge Graph Representation Learning. - Lingbing Guo; Weiqing Wang 001; Zequn Sun; Chenghao Liu; Wei Hu 007 (CoRR, 2020)

A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs. - Zequn Sun; Qingheng Zhang; Wei Hu 007; Chengming Wang; Muhao Chen 001; Farahnaz Akrami; Chengkai Li 001 (Proc. VLDB Endow., 2020)

Knowing the No-match: Entity Alignment with Dangling Cases. - Zequn Sun; Muhao Chen 001; Wei Hu 007 (ACL/IJCNLP (1), 2021)

Rule-based data augmentation for knowledge graph embedding. - Guangyao Li; Zequn Sun; Lei Qian; Qiang Guo; Wei Hu 007 (AI Open, 2021)

Principled Representation Learning for Entity Alignment. - Lingbing Guo; Zequn Sun; Mingyang Chen; Wei Hu 007; Qiang Zhang 026; Huajun Chen (CoRR, 2021)

Ensemble Semi-supervised Entity Alignment via Cycle-Teaching. - Kexuan Xin; Zequn Sun; Wen Hua; Bing Liu 025; Wei Hu 007; Jianfeng Qu; Xiaofang Zhou 001 (AAAI, 2022)

Inductive Knowledge Graph Reasoning for Multi-batch Emerging Entities. - Yuanning Cui; Yuxin Wang 006; Zequn Sun; Wenqiang Liu; Yiqiao Jiang; Kexin Han; Wei Hu 007 (CIKM, 2022)

I Know What You Do Not Know: Knowledge Graph Embedding via Co-distillation Learning. - Yang Liu; Zequn Sun; Guangyao Li; Wei Hu 007 (CIKM, 2022)

Large-scale Entity Alignment via Knowledge Graph Merging, Partitioning and Embedding. - Kexuan Xin; Zequn Sun; Wen Hua; Wei Hu 007; Jianfeng Qu; Xiaofang Zhou 001 (CIKM, 2022)

Understanding and Improving Knowledge Graph Embedding for Entity Alignment. - Lingbing Guo; Qiang Zhang 026; Zequn Sun; Mingyang Chen; Wei Hu 007; Huajun Chen (ICML, 2022)

Dangling-Aware Entity Alignment with Mixed High-Order Proximities. - Juncheng Liu; Zequn Sun; Bryan Hooi; Yiwei Wang 001; Dayiheng Liu; Baosong Yang; Xiaokui Xiao; Muhao Chen 001 (NAACL-HLT (Findings), 2022)

μ KG: A Library for Multi-source Knowledge Graph Embeddings and Applications. - Xindi Luo; Zequn Sun; Wei Hu 007 (ISWC, 2022)

Facing Changes: Continual Entity Alignment for Growing Knowledge Graphs. - Yuxin Wang 006; Yuanning Cui; Wenqiang Liu; Zequn Sun; Yiqiao Jiang; Kexin Han; Wei Hu 007 (ISWC, 2022)

Informed Multi-context Entity Alignment. - Kexuan Xin; Zequn Sun; Wen Hua; Wei Hu 007; Xiaofang Zhou 001 (WSDM, 2022)

μKG: A Library for Multi-source Knowledge Graph Embeddings and Applications. - Xindi Luo; Zequn Sun; Wei Hu 007 (CoRR, 2022)

EventEA: Benchmarking Entity Alignment for Event-centric Knowledge Graphs. - Xiaobin Tian; Zequn Sun; Guangyao Li; Wei Hu 007 (CoRR, 2022)

A Multi-Scale Feature Pyramid Network for Detection and Instance Segmentation of Marine Ships in SAR Images. - Zequn Sun; Chunning Meng; Jierong Cheng; Zhiqing Zhang; Shengjiang Chang (Remote. Sens., 2022)

Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs. - Yuanning Cui; Yuxin Wang 006; Zequn Sun; Wenqiang Liu; Yiqiao Jiang; Kexin Han; Wei Hu 007 (AAAI, 2023)

What Makes Entities Similar? A Similarity Flooding Perspective for Multi-sourced Knowledge Graph Embeddings. - Zequn Sun; Jiacheng Huang 001; Xiaozhou Xu; Qijin Chen; Weijun Ren; Wei Hu 007 (ICML, 2023)

Enabling Abductive Learning to Exploit Knowledge Graph. - Yu-Xuan Huang; Zequn Sun; Guangyao Li; Xiaobin Tian; Wang-Zhou Dai; Wei Hu 007; Yuan Jiang 001; Zhi-Hua Zhou (IJCAI, 2023)

Joint Pre-training and Local Re-training: Transferable Representation Learning on Multi-source Knowledge Graphs. - Zequn Sun; Jiacheng Huang 001; Jinghao Lin; Xiaozhou Xu; Qijin Chen; Wei Hu 007 (KDD, 2023)

Newton-Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems. - Lingbing Guo; Weiqing Wang; Zhuo Chen 007; Ningyu Zhang 001; Zequn Sun; Yixuan Lai; Qiang Zhang 026; Huajun Chen (NeurIPS, 2023)

Deep Active Alignment of Knowledge Graph Entities and Schemata. - Jiacheng Huang 001; Zequn Sun; Qijin Chen; Xiaozhou Xu; Weijun Ren; Wei Hu 007 (Proc. ACM Manag. Data, 2023)

Revisiting Embedding-Based Entity Alignment: A Robust and Adaptive Method. - Zequn Sun; Wei Hu 007; Chengming Wang; Yuxin Wang 006; Yuzhong Qu (IEEE Trans. Knowl. Data Eng., 2023)

Generating Explanations to Understand and Repair Embedding-Based Entity Alignment. - Xiaobin Tian; Zequn Sun; Wei Hu 007 (ICDE, 2024)

KnowLA: Enhancing Parameter-efficient Finetuning with Knowledgeable Adaptation. - Xindi Luo; Zequn Sun; Jing Zhao; Zhe Zhao; Wei Hu 007 (NAACL-HLT, 2024)

A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning. - Yuanning Cui; Zequn Sun; Wei Hu (NeurIPS, 2024)

Finetuning Generative Large Language Models with Discrimination Instructions for Knowledge Graph Completion. - Yang Liu; Xiaobin Tian; Zequn Sun; Wei Hu 007 (ISWC (1), 2024)

Finetuning Generative Large Language Models with Discrimination Instructions for Knowledge Graph Completion. - Yang Liu; Xiaobin Tian; Zequn Sun; Wei Hu (CoRR, 2024)

Distributed representations of entities in open-world knowledge graphs. - Lingbing Guo; Zhuo Chen 007; Jiaoyan Chen 001; Yichi Zhang 009; Zequn Sun; Zhongpu Bo; Yin Fang; Xiaoze Liu; Huajun Chen; Wen Zhang 015 (Knowl. Based Syst., 2024)

Position-Aware Relational Transformer for Knowledge Graph Embedding. - Guangyao Li; Zequn Sun; Wei Hu 007; Gong Cheng 001; Yuzhong Qu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Knowledge graph embedding closed under composition. - Zhuoxun Zheng; Baifan Zhou; Hui Yang; Zhipeng Tan; Zequn Sun; Chunnong Li; Arild Waaler; Evgeny Kharlamov; Ahmet Soylu (Data Min. Knowl. Discov., 2024)

Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question Answering. - Rongzhi Zhu; Xiangyu Liu 001; Zequn Sun; Yiwei Wang; Wei Hu (ACL (1), 2025)

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning. - Rongzhi Zhu; Yi Liu; Zequn Sun; Yiwei Wang; Wei Hu (CoRR, 2025)

Transfer-and-Fusion: Integrated Link Prediction Across Knowledge Graphs. - Yuanning Cui; Zequn Sun; Wei Hu 007 (IEEE Trans. Knowl. Data Eng., 2025)