| 2026 | AAAI | Answering the Unanswerable Is to Err Knowingly: Analyzing and Mitigating Abstention Failures in Large Reasoning Models. | Yi Liu, Xiangyu Liu, Zequn Sun, Wei Hu |
| 2025 | ACL | Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question Answering. | Rongzhi Zhu, Xiangyu Liu, Zequn Sun, Yiwei Wang, Wei Hu |
| 2024 | ICDE | Generating Explanations to Understand and Repair Embedding-Based Entity Alignment. | Xiaobin Tian, Zequn Sun, Wei Hu |
| 2024 | NAACL | KnowLA: Enhancing Parameter-efficient Finetuning with Knowledgeable Adaptation. | Xindi Luo, Zequn Sun, Jing Zhao, Zhe Zhao, Wei Hu |
| 2023 | AAAI | Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs. | Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han, Wei Hu |
| 2023 | ICML | What Makes Entities Similar? A Similarity Flooding Perspective for Multi-sourced Knowledge Graph Embeddings. | Zequn Sun, Jiacheng Huang, Xiaozhou Xu, Qijin Chen, Weijun Ren, Wei Hu |
| 2023 | IJCAI | Enabling Abductive Learning to Exploit Knowledge Graph. | Yu-Xuan Huang, Zequn Sun, Guangyao Li, Xiaobin Tian, Wang-Zhou Dai, Wei Hu, Yuan Jiang, Zhi-Hua Zhou |
| 2023 | KDD | Joint Pre-training and Local Re-training: Transferable Representation Learning on Multi-source Knowledge Graphs. | Zequn Sun, Jiacheng Huang, Jinghao Lin, Xiaozhou Xu, Qijin Chen, Wei Hu |
| 2022 | AAAI | Ensemble Semi-supervised Entity Alignment via Cycle-Teaching. | Kexuan Xin, Zequn Sun, Wen Hua, Bing Liu, Wei Hu, Jianfeng Qu, Xiaofang Zhou |
| 2022 | CIKM | Inductive Knowledge Graph Reasoning for Multi-batch Emerging Entities. | Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han, Wei Hu |
| 2022 | CIKM | I Know What You Do Not Know: Knowledge Graph Embedding via Co-distillation Learning. | Yang Liu, Zequn Sun, Guangyao Li, Wei Hu |
| 2022 | CIKM | Large-scale Entity Alignment via Knowledge Graph Merging, Partitioning and Embedding. | Kexuan Xin, Zequn Sun, Wen Hua, Wei Hu, Jianfeng Qu, Xiaofang Zhou |
| 2022 | ICML | Understanding and Improving Knowledge Graph Embedding for Entity Alignment. | Lingbing Guo, Qiang Zhang, Zequn Sun, Mingyang Chen, Wei Hu, Huajun Chen |
| 2022 | NAACL | Dangling-Aware Entity Alignment with Mixed High-Order Proximities. | Juncheng Liu, Zequn Sun, Bryan Hooi, Yiwei Wang, Dayiheng Liu, Baosong Yang, Xiaokui Xiao, Muhao Chen |
| 2022 | WSDM | Informed Multi-context Entity Alignment. | Kexuan Xin, Zequn Sun, Wen Hua, Wei Hu, Xiaofang Zhou |
| 2021 | ACL | Knowing the No-match: Entity Alignment with Dangling Cases. | Zequn Sun, Muhao Chen, Wei Hu |
| 2020 | AAAI | Knowledge Graph Alignment Network with Gated Multi-Hop Neighborhood Aggregation. | Zequn Sun, Chengming Wang, Wei Hu, Muhao Chen, Jian Dai, Wei Zhang, Yuzhong Qu |
| 2020 | EMNLP | Knowledge Association with Hyperbolic Knowledge Graph Embeddings. | Zequn Sun, Muhao Chen, Wei Hu, Chengming Wang, Jian Dai, Wei Zhang |
| 2019 | ICML | Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs. | Lingbing Guo, Zequn Sun, Wei Hu |
| 2019 | IJCAI | Multi-view Knowledge Graph Embedding for Entity Alignment. | Qingheng Zhang, Zequn Sun, Wei Hu, Muhao Chen, Lingbing Guo, Yuzhong Qu |
| 2018 | IJCAI | Bootstrapping Entity Alignment with Knowledge Graph Embedding. | Zequn Sun, Wei Hu, Qingheng Zhang, Yuzhong Qu |