| 2025 | HPCC | Deep Learning for Multiple Sclerosis on AI-Computing Networks: A Systematic Review. | Zheng Wu, Xiangyuan Zhu, Rui Ding, Zhuo Zhang, Zhen Wang, Kehua Guo |
| 2025 | SecureComm | FedCLF: Contrastive Learning-Driven Framework for Mitigating Data Heterogeneity in Federated Learning. | Chunming Bai, Heng Zhang, Yong Xie, Xin Su, Xiangyuan Zhu, Wenjie Kang, Xuchong Liu |
| 2024 | ICSE | F-CodeLLM: A Federated Learning Framework for Adapting Large Language Models to Practical Software Development. | Zeju Cai, Jianguo Chen, Wenqing Chen, Weicheng Wang, Xiangyuan Zhu, Aijia Ouyang |
| 2023 | AAAI | Gradient-Based Graph Attention for Scene Text Image Super-resolution. | Xiangyuan Zhu, Kehua Guo, Hui Fang, Rui Ding, Zheng Wu, Gerald Schaefer |
| 2023 | ICNC | A Tool for Printed Circuit Board Defect Detection based on the YOLO Algorithm. | Miao Hou, Zhiming Lan, Qiuhong Hong, Xiangyuan Zhu, Hong Nie |
| 2017 | ICNC | Retrieving Myers-Miller alignments for pairwise biological sequences using spark. | Xiangyuan Zhu, Bing Li, Jian Li, Kenli Li |
| 2017 | PDCAT | A Parallel Pairwise Alignment with Pruning for Large Genomic Sequences. | Xiangyuan Zhu, Bing Li, Kenli Li, Ping Shao, Yi Pan |