| 2026 | CCGRID | SOtrain: Efficient LLM Fine-Tuning on a Single-GPU Commodity Server via User-Space I/O and Scheduling Optimizations. | Zhengguo Liu, Hao Lan, Jiwu Shu |
| 2026 | DATE | CAMI: A Context-Aware Isolation Architecture for GPU Memories. | Hao Lan, Wei Yan, Qinfen Hao, Xiaochun Ye, Yier Jin, Yong Liu, Ninghui Sun |
| 2026 | FAST | Cost-efficient Archive Cloud Storage with Tape: Design and Deployment. | Qing Wang, Fan Yang, Qiang Liu, Geng Xiao, Yongpeng Chen, Hao Lan, Leiming Chen, Bangzhu Chen, Chenrui Liu, Pingchang Bai, Bin Huang, Zigan Luo, Mingyu Xie, Yu Wang, Youyou Lu, Huatao Wu, Jiwu Shu |
| 2025 | ECAI | Low-Rank State Space Model for Multivariate Time Series Forecasting. | Yongrong Wu, Houjin Chen, Hao Lan, Ruofan Ma, Lvqing Yang, Jiahao Wu, Xinyan Shen |
| 2025 | EuroPar | ParTEE: A Framework for Secure Parallel Computing of RISC-V Trusted Execution Environments. | Hao Lan, Ziang Zhou, Qi Zhu, Wei Yan, Qinfen Hao, Xiaochun Ye, Yong Liu, Ninghui Sun |
| 2025 | ICCAD | CacheGuardian: A Timing Side-Channel Resilient LLC Design. | Ziang Zhou, Qi Zhu, Hao Lan, Huifeng Zhu, Wei Yan, Chenglu Jin, Xuejun An, Xiaochun Ye |
| 2023 | ISSRE | A Fault Injection and Formal Verification Framework Based on UML Sequence Diagrams. | Hezhen Liu, Jiacheng Yin, Chengqiang Huang, Hao Lan, Zhi Jin, Zheng Zheng, Xun Zhang |
| 2022 | CVPR | OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks. | Wanyu Lin, Hao Lan, Hao Wang, Baochun Li |
| 2021 | ICML | Generative Causal Explanations for Graph Neural Networks. | Wanyu Lin, Hao Lan, Baochun Li |
| 2021 | ICPP | Accelerated Device Placement Optimization with Contrastive Learning. | Hao Lan, Li Chen, Baochun Li |
| 2018 | QRS | A Test Path Generation Method Based on SSM Models. | Hao Lan, Yin Tong, Jin Guo, Yadong Zhang, Yao Li, Chang Rao |
| 2017 | VCIP | Depth super-resolution via fully edge-augmented guidance. | Jingyu Yang, Hao Lan, Xiaolin Song, Kun Li |