| 2026 | ICPR | EOPD-SR: Entity-Ontology and Path-Dependency Subgraph Retrieval for Knowledge Graph - Augmented Reasoning. | Jiawen Xue, Yu Tang, Yingchi Mao, Zicheng Wang, Zhenxiang Pan, Bingbing Nie, Rongzhi Qi |
| 2026 | INFOCOM | A Cloud-Edge Collaborative System for Efficient LLM Fine-Tuning with Backbone Activation Caching. | Yuchu Chen, Yingchi Mao, Si Chen, Rongzhi Qi, Tianfu Pang, Zhenxiang Pan |
| 2025 | SMC | A Multi-Structural Graph Fusion Approach for Code Representation in Code Search. | Longhao Ao, Rongzhi Qi, Haoxuan Li |
| 2025 | SMC | Leveraging Long Method Decomposition to Improve Large Language Model-Based Test Case Generation. | Rongzhi Qi, Zhiyu Shen, Yadi Li |
| 2024 | COMPSAC | CodeFuse: Multimodal Code Search Model with Fine-Grained Attention Alignment. | Shengnan Zhang, Shuiyan Li, Rongzhi Qi, Xiaofeng Zhou |
| 2024 | ICTAI | LRIRL: Improving Knowledge Graph Reasoning through Representation Learning-Based Rule Induction. | Yingjie Liu, Yingchi Mao, Fudong Chi, Bo Wu, Silong Ding, Rongzhi Qi |
| 2024 | ICTAI | KRLGI: Knowledge Representation Learning Based on Global Information for Reasoning. | Bo Wu, Yingchi Mao, Fudong Chi, Yingjie Liu, Silong Ding, Rongzhi Qi |
| 2023 | ICTAI | ECIFF: Event Causality Identification based on Feature Fusion. | Silong Ding, Yingchi Mao, Yong Cheng, Tianfu Pang, Lijuan Shen, Rongzhi Qi |
| 2023 | ICTAI | Script Event Prediction Based on Causal Generalization Learning. | Tianfu Pang, Yingchi Mao, Silong Ding, Biao Wang, Rongzhi Qi |