| 2026 | ENASE | N-SIM: Enhancing Program Similarity Analysis with Over-Basic-Block Semantic Comparison. | Zihao Wang, Qinkun Bao, Jinquan Zhang, Dinghao Wu |
| 2026 | KDD | DyMerge-LoRA: On-GPU Post-Merge Fusion for High-Throughput Multi-Tenant Composite LoRA Serving. | Rui Xu, Long Chen, Huazheng Lao, Jinquan Zhang, Xia Zhu |
| 2025 | ICDCS | CAFGD: Reduce Fragmentation in Large-Scale Multi-tenant Clusters for GPU Sharing Workloads. | Huazheng Lao, Rui Xu, Long Chen, Jinquan Zhang |
| 2025 | ICPADS | DSPJ: Deep Reinforcement Learning-based Scheduling Algorithm for Parallel Multi-stage Cloud Fuzzy Jobs. | Kejia Guo, Jinquan Zhang, Xiaoping Li |
| 2024 | CSCWD | Task Scheduling in Multi-Cloud Environments for Spark Workflow under Performance Uncertainty. | Kamran Yaseen Rajput, Xiaoping Li, Abdullah Lakhan, Jinquan Zhang, Abdul Rasheed Mahesar, Dileep Kumar Sajnani |
| 2024 | CSCWD | Reinforcement Learning Based Memory Configuration for Linear Dynamic Function Chains. | Jinquan Zhang, Xiaoping Li, Kamran Yaseen Rajput, Long Chen |
| 2023 | ENASE | LibSteal: Model Extraction Attack Towards Deep Learning Compilers by Reversing DNN Binary Library. | Jinquan Zhang, Pei Wang, Dinghao Wu |
| 2021 | IJCNN | Watermarking-based Defense against Adversarial Attacks on Deep Neural Networks. | Xiaoting Li, Lingwei Chen, Jinquan Zhang, James R. Larus, Dinghao Wu |
| 2020 | SP | Unexpected Data Dependency Creation and Chaining: A New Attack to SDN. | Feng Xiao, Jinquan Zhang, Jianwei Huang, Guofei Gu, Dinghao Wu, Peng Liu |