[arXiv'26] Xingyu Chen, Yuanning Cui, Zequn Sun^#, Wei Hu. Harnessing Structural Context for Entity Alignment Foundation Models. arXiv preprint arXiv:2606.06109.

[arXiv'26] Xiaohui Zhang, Zequn Sun^#, Chengyuan Yang, Yaqin Jin, Yazhong Zhang, Wei Hu. ActMem: Bridging the Gap Between Memory Retrieval and Reasoning in LLM Agents. arXiv preprint arXiv:2603.00026.

[arXiv'26] Xianya Fang, Xianying Luo, Yadong Wang, Xiang Chen, Yu Tian, Zequn Sun, Rui Liu, Jun Fang, Naiqiang Tan, Yuanning Cui, Sheng-Jun Huang. SafeThinker: Reasoning about Risk to Deepen Safety Beyond Shallow Alignment. arXiv preprint arXiv:2601.16506.

[arXiv'26] Yiqi Wang, Jiaqi Zhang, Taotao Cai, Zirui Liu, Qingqiang Sun, Zequn Sun, Zhangkai Wu, Mingkai Zhang, Yanming Zhu. From Agent Traces to Trust: Evidence Tracing and Execution Provenance in LLM Agents. arXiv preprint arXiv:2606.04990.

[EMNLP'26] Rongzhi Zhu, Xiangyu Liu, Yi Liu, Shuo Zhang, Ruirui Zhang, Rui Wu, Tao Jiang, Zequn Sun^#, Wenhao Xu, Wei Hu. Dense Process Supervision for Search Agents via Fact Utility Estimation. To appear in Proc. of the 2026 Conference on Empirical Methods in Natural Language Processing.

[EMNLP'26] Rongzhi Zhu, Xiang Huang, Yuchuan Wu, Rui Wang, Zequn Sun^#, Tao Ren, Weiyao Luo, Bingxue Qiu, Jieping Ye, Yongbin Li, Wei Hu. EIBench: A Simulator-Based Benchmark and Turn-Credit RL for Emotion Management. To appear in Proc. of the 2026 Conference on Empirical Methods in Natural Language Processing (Findings).

[EMNLP'26] Rongzhi Zhu, Yi Liu, Jiancheng Wang, Xiangyu Liu, Zequn Sun^#, Yiwei Wang, Yu Deng, Zijian Zhou, Wei Hu. When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning. To appear in Proc. of the 2026 Conference on Empirical Methods in Natural Language Processing (Findings).

[EMNLP'26] Chengyuan Yang, Zequn Sun^#, Wei Wei, Wei Hu. Beyond Static Summarization: Proactive Memory Extraction for LLM Agents. To appear in Proc. of the 2026 Conference on Empirical Methods in Natural Language Processing (Findings).

[EMNLP'26] Huicheng Huang, Xiaohui Zhang, Yuanning Cui, Zequn Sun^#, Wei Hu. AdaMemPIP: Adaptive Memory Pipeline Orchestration for LLM Agents. To appear in Proc. of the 2026 Conference on Empirical Methods in Natural Language Processing (Findings).

[EMNLP'26] Lingbing Guo, Yichi Zhang, Yang Liu, Zhuo Chen, Zequn Sun^#. SeeKG: Multi-modal LLMs Understand Knowledge Graphs as Images. To appear in Proc. of the 2026 Conference on Empirical Methods in Natural Language Processing (Findings).

[EMNLP'26] Nan Jia, Haojin Yang, Xing Ma, Jiesong Lian, shuailiang zhang, Weipeng Zhang, Ke Zeng, Xunliang Cai, Zequn Sun. Asymmetric On-Policy Distillation: Bridging Exploitation and Imitation at the Token Level. To appear in Proc. of the 2026 Conference on Empirical Methods in Natural Language Processing (Findings).

[ISWC'26] Zequn Sun, Xiaohui Zhang, Yaqin Jin, Wei Hu^#. Mitigating Exploration Sluggishness in Iterative Knowledge Graph Augmentation. To appear in Proc. of the 25th International Semantic Web Conference. [code]

[TKDE'26] Yuanning Cui, Zequn Sun, Wei Hu, Zhangjie Fu. KGFR: A Foundation Retriever for Generalized Knowledge Graph Question Answering. Accepted by IEEE Transactions on Knowledge and Data Engineering. [code]

[IJCAI'26] Yuanning Cui*, Zequn Sun*, Wei Hu, Kexuan Xin, Zhangjie Fu. Breaking the Reasoning Horizon in Entity Alignment Foundation Models. In Proc. of the 35th International Joint Conference on Artificial Intelligence. [code]

[ICLR'26] Haojin Yang, Rui Hu, Zequn Sun, Rui Zhou, Yujun Cai, Yiwei Wang. WavefrontDiffusion: Dynamic Decoding Schedule for Improved Reasoning In Proc. of the 14th International Conference on Learning Representations. [code]

[AAAI'26] Yi Liu, Xiangyu Liu, Zequn Sun, Wei Hu. Answering the Unanswerable Is to Err Knowingly: Analyzing and Mitigating Abstention Failures in Large Reasoning Models In Proc. of the 40th Annual AAAI Conference on Artificial Intelligence. [code]

[ISWC'25] Yang Liu, Zequn Sun^#, Zhoutian Shao, Yuanning Cui, Wei Hu. Are LLMs Really Knowledgeable for Knowledge Graph Completion? In Proc. of the 24th International Semantic Web Conference. [Spotlight] [code]

[ACL'25] Rongzhi Zhu, Xiangyu Liu, Zequn Sun^#, Yiwei Wang, Wei Hu. Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question Answering. In Proc. of the 63rd Annual Meeting of the Association for Computational Linguistics. [code]

[TKDE'25] Yuanning Cui, Zequn Sun, Wei Hu. Transfer-and-Fusion: Integrated Link Prediction across Knowledge Graphs. IEEE Transactions on Knowledge and Data Engineering. [code]

[NeurIPS'24] Yuanning Cui, Zequn Sun, Wei Hu. Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning. In Proc. of the 28th Annual Conference on Neural Information Processing Systems. [code]

[ISWC'24] Yang Liu, Xiaobin Tian, Zequn Sun^#, Wei Hu. Finetuning Generative Large Language Models with Discrimination Instructions for Knowledge Graph Completion. In Proc. of the 23rd International Semantic Web Conference. [code]

[DMKD'24] Zhuoxun Zheng, Baifan Zhou, Hui Yang, Zhipeng Tan, Zequn Sun, Chunnong Li, Arild Waaler, Evgeny Kharlamov, Ahmet Soylu. Knowledge Graph Embedding Closed Under Composition. Data Mining and Knowledge Discovery. [code]

[JCRD'24] Yuanning Cui, Zequn Sun, Wei Hu. RulePreM: A Pre-trained Universal Knowledge Graph Reasoning Model Based on Rule Prompts. Journal of Computer Research and Development (in Chinese). [code]

[NAACL'24] Xindi Luo, Zequn Sun^#, Jing Zhao, Zhe Zhao^#, Wei Hu^#. KnowLA: Enhancing Parameter-efficient Finetuning with Knowledgeable Adaptation. In Proc. of the 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics. [code]

[KBS'24] Lingbing Guo, Zhuo Chen, Jiaoyan Chen, Yichi Zhang, Zequn Sun, Zhongpo Bo, Yin Fang, Xiaoze Liu, Huajun Chen, Wen Zhang. Distributed Representations of Entities in Open-World Knowledge Graphs. Knowledge-Based Systems. [code]

[ICDE'24] Xiaobin Tian, Zequn Sun^#, Wei Hu^#. Generating Explanations to Understand and Repair Embedding-based Entity Alignment. In Proc. of the 40th IEEE International Conference on Data Engineering. [code]

[NeurIPS'23] Lingbing Guo, Weiqing Wang, Zhuo Chen, Ningyu Zhang, Zequn Sun, Yixuan Lai, Qiang Zhang, Huajun Chen. Newton–Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems. In Proc. of the 37th Conference on Neural Information Processing Systems. [code]

[KDD'23] Zequn Sun, Jiacheng Huang, Jinghao Lin, Xiaozhou Xu, Qijin Chen, Wei Hu. Joint Pre-training and Local Re-training: Transferable Representation Learning on Multi-source Knowledge Graphs. In Proc. of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. [code]

[ICML'23] Zequn Sun, Jiacheng Huang, Xiaozhou Xu, Qijin Chen, Weijun Ren, Wei Hu. What Makes Entities Similar? A Similarity Flooding Perspective for Multi-sourced Knowledge Graph Embeddings. In Proc. of the 40th International Conference on Machine Learning. [code]

[IJCAI'23] 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 Proc. of the 32nd International Joint Conference on Artificial Intelligence. [code]

[TNNLS'23] Guangyao Li, Zequn Sun, Wei Hu, Gong Cheng and Yuzhong Qu. Position-aware Relational Transformer for Knowledge Graph Embedding. IEEE Transactions on Neural Networks and Learning Systems. [code]

[SIGMOD'23] Jiacheng Huang, Zequn Sun, Qijin Chen, Xiaozhou Xu, Weijun Ren and Wei Hu. Deep Active Alignment of Knowledge Graph Entities and Schemata. In Proc. of the International Conference on Management of Data. [code]

[JOS'23] Zequn Sun, Yuanning Cui, Wei Hu. Lifelong Representation Learning on Multi-sourced Knowledge Graphs via Linked Entity Replay. Journal of Software (in Chinese). [code]

[AAAI'23] Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han and Wei Hu. Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs. In Proc. of the 37th AAAI Conference on Artificial Intelligence. [code]

[TKDE'22] Zequn Sun, Wei Hu, Chengming Wang, Yuxin Wang, Yuzhong Qu. Revisiting Embedding-based Entity Alignment: A Robust and Adaptive Method. IEEE Transactions on Knowledge and Data Engineering. [code]

[CIKM'22] Kexuan Xin, Zequn Sun, Wen Hua, Wei Hu, Jianfeng Qu and Xiaofang Zhou. Large-scale Entity Alignment via Knowledge Graph Merging, Partitioning and Embedding. In Proc. of the 31st ACM International Conference on Information and Knowledge Management. [code]

[CIKM'22] Yang Liu, Zequn Sun, Guangyao Li and Wei Hu. I Know What You Do Not Know: Knowledge Graph Embedding via Co-distillation Learning. In Proc. of the 31st ACM International Conference on Information and Knowledge Management. [code]

[CIKM'22] Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han and Wei Hu. Inductive Knowledge Graph Reasoning for Multi-batch Emerging Entities. In Proc. of the 31st ACM International Conference on Information and Knowledge Management. [code]

[ISWC'22] Xindi Luo, Zequn Sun*, Wei Hu. μKG: A Library for Multi-source Knowledge Graph Embeddings and Applications. In Proc. of the 21st International Semantic Web Conference. [code]

[ISWC'22] Yuxin Wang, Yuanning Cui, Wenqiang Liu, Zequn Sun, Yiqiao Jiang, Kexin Han and Wei Hu. Facing Changes: Continual Entity Alignment for Growing Knowledge Graphs. In Proc. of the 21st International Semantic Web Conference. [code]

[ICML'22] Lingbing Guo, Qiang Zhang, Zequn Sun, Mingyang Chen, Wei Hu, Huajun Chen. Understanding and Improving Knowledge Graph Embedding for Entity Alignment. In Proc. of the 39th International Conference on Machine Learning. [code]

[NAACL'22] Juncheng Liu, Zequn Sun, Bryan Hooi, Yiwei Wang, Dayiheng Liu, Baosong Yang, Xiaokui Xiao, Muhao Chen. Dangling-Aware Entity Alignment with Mixed High-Order Proximities. In Findings of NAACL 2022. [code]

[AAAI'22] Kexuan Xin, Zequn Sun, Wen Hua, Bing Liu, Wei Hu, Jianfeng Qu, Xiaofang Zhou. Ensemble Semi-supervised Entity Alignment via Cycle-teaching. In Proc. of the 36th AAAI Conference on Artificial Intelligence. [code]

[WSDM'22] Kexuan Xin, Zequn Sun, Wen Hua, Wei Hu, Xiaofang Zhou. Informed Multi-context Entity Alignment. In Proc. of the 15th ACM International Conference on Web Search and Data Mining. [code]

[ACL'21] Zequn Sun, Muhao Chen, Wei Hu. Knowing the No-match: Entity Alignment with Dangling Cases. In Proc. of the 59th Annual Meeting of the Association for Computational Linguistics. [code][DBP2.0]

[EMNLP'20] Zequn Sun, Muhao Chen, Wei Hu, Chengming Wang, Jian Dai, Wei Zhang. Knowledge Association with Hyperbolic Knowledge Graph Embeddings. In Proc. of the 2020 Conference on Empirical Methods in Natural Language Processing. [code]

[VLDB'20] Zequn Sun, Qingheng Zhang, Wei Hu, Chengming Wang, Muhao Chen, Farahnaz Akrami, Chengkai Li. A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs. In Proc. of the VLDB Endowment, Vol. 13, No. 11. [code][data]

[AAAI'20] Zequn Sun*, Chengming Wang*, Wei Hu, Muhao Chen, Jian Dai, Wei Zhang, Yuzhong Qu. Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation. In Proc. of the 34th AAAI Conference on Artificial Intelligence. [code]

[ISWC'19] Zequn Sun, Jiacheng Huang, Wei Hu, Muchao Chen, Lingbing Guo, Yuzhong Qu. TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs. In Proc. of the 18th International Semantic Web Conference. [code]

[IJCAI'19] Qingheng Zhang*, Zequn Sun*, Wei Hu, Muchao Chen, Lingbing Guo, Yuzhong Qu. Multi-view Knowledge Graph Embedding for Entity Alignment. In Proc. of the 28th International Joint Conference on Artificial Intelligence. [code]

[ICML'19] Lingbing Guo, Zequn Sun, Wei Hu. Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs. In Proc. of the 36th International Conference on Machine Learning. [Supplementary][code]

[IJCAI'18] Zequn Sun, Wei Hu, Qingheng Zhang, Yuzhong Qu. Bootstrapping Entity Alignment with Knowledge Graph Embedding. In Proc. of the 27th International Joint Conference on Artificial Intelligence. [code][DWY100K]

[ISWC'17] Zequn Sun, Wei Hu, Chengkai Li. Cross-Lingual Entity Alignment via Joint Attribute-Preserving Embedding. In Proc. of the 16th International Semantic Web Conference. [website][code][DBP15K]

[ISWC'16] Wei Hu, Haoxuan Li, Zequn Sun, Xinqi Qian, Lingkun Xue, Ermei Cao, Yuzhong Qu. Clinga: Bringing Chinese Physical and Human Geography in Linked Open Data. In Proc. of the 15th International Semantic Web Conference. [data]

Other publications

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

Lingbing Guo, Qingheng Zhang, Wei Hu, Zequn Sun, Yuzhong Qu. Learning to Complete Knowledge Graphs with Deep Sequential Models. Data Intelligence, Vol 1 (3), 224-243, 2019.

Xinze Lyu, Qingheng Zhang, Wei Hu, Zequn Sun, Yuzhong Qu. njuLink: results for instance matching at OAEI 2017. In Proc. of the 12th International Workshop on Ontology Matching (OM 2017).

Zhiwei Zhang, Lingling Zhang, Hao Zhang, Weizhuo He, Zequn Sun, Gong Cheng, Qizhi Liu, Xinyu Dai and Yuzhong Qu. Towards Answering Geography Questions in Gaokao: A Hybrid Approach. In Proc. of the 2018 China Conference on Knowledge Graph and Semantic Computing (CCKS 2018).