| 2026 | AAAI | A Causal Target for Learning to Defer Under Hidden Confounding. | Yanmin Li, Lihua Liu, Xin Wang, Zhilong Mao, Jibing Wu, Weidong Bao |
| 2026 | ACL | Can Large Language Models Effectively Support Decision-Making in Sudden Emergencies? | Mengna Zhu, Jibing Wu, Lihua Liu, Yuran Gong, Yang Hao, Yachao Fu, Mao Wang, Lei Hou, Juanzi Li |
| 2026 | WWW | Thinking Bidirectionally: A Reasoning and Self-Correction Approach for Text-Based Event Prediction with Large Language Models. | Liwei Qian, Hang Zhang, Yiheng Wu, Yanmin Li, Mengna Zhu, Lihua Liu, Jibing Wu |
| 2025 | EMNLP | Can Large Language Models Tackle Graph Partitioning? | Yiheng Wu, Ningchao Ge, Yanmin Li, Liwei Qian, Mengna Zhu, Haoyu Yang, Haiwen Chen, Jibing Wu |
| 2024 | ACL | LC4EE: LLMs as Good Corrector for Event Extraction. | Mengna Zhu, Kaisheng Zeng, Jibing Wu, Lihua Liu, Hongbin Huang, Lei Hou, Juanzi Li |
| 2024 | APWEB | FedPPQs: Optimizing Property Path Queries Evaluation over Federated RDF Systems. | Jibing Wu, Ningchao Ge, Tengyun Wang, Xuan Li, Lihua Liu, Hongbin Huang |
| 2023 | APWEB | Answering Property Path Queries over Federated RDF Systems. | Ningchao Ge, Peng Peng, Jibing Wu, Lihua Liu, Haiwen Chen, Tengyun Wang |
| 2023 | IJCAI | A Quantitative Game-theoretical Study on Externalities of Long-lasting Humanitarian Relief Operations in Conflict Areas. | Kaiming Xiao, Haiwen Chen, Hongbin Huang, Lihua Liu, Jibing Wu |
| 2022 | APWEB | Effectively Filtering Images for Better Multi-modal Knowledge Graph. | Huang Peng, Hao Xu, Jiuyang Tang, Jibing Wu, Hongbin Huang |