| 2025 | PDCAT | TD3-Sched: Learning to Orchestrate Container-Based Cloud-Edge Resources via Distributed Reinforcement Learning. | Shengye Song, Minxian Xu, Kan Hu, Wenxia Guo, Kejiang Ye |
| 2024 | ISPA | MSARS: A Meta-Learning and Reinforcement Learning Framework for SLO Resource Allocation and Adaptive Scaling for Microservices. | Kan Hu, Linfeng Wen, Minxian Xu, Kejiang Ye |
| 2018 | ICPP | Disk Failure Prediction in Data Centers via Online Learning. | Jiang Xiao, Zhuang Xiong, Song Wu, Yusheng Yi, Hai Jin, Kan Hu |
| 2017 | IWQoS | Fairness-aware dynamic rate control and flow scheduling for network function virtualization. | Sheng Tao, Lin Gu, Deze Zeng, Hai Jin, Kan Hu |
| 2011 | ICPADS | Optimization of Sparse Matrix-Vector Multiplication with Variant CSR on GPUs. | Xiaowen Feng, Hai Jin, Ran Zheng, Kan Hu, Jingxiang Zeng, Zhiyuan Shao |
| 2010 | AICCSA | Adaptive audio-aware scheduling in Xen virtual environment. | Huacai Chen, Hai Jin, Kan Hu, Minhao Yuan |
| 2010 | ICPP | Dynamic Switching-Frequency Scaling: Scheduling Overcommitted Domains in Xen VMM. | Huacai Chen, Hai Jin, Kan Hu, Jian Huang |
| 2010 | PDCAT | XenHVMAcct: Accurate CPU Time Accounting for Hardware-Assisted Virtual Machine. | Huacai Chen, Hai Jin, Kan Hu |
| 2010 | PDP | FTDS: Adjusting Virtual Computing Resources in Threshing Cases. | Jian Huang, Hai Jin, Kan Hu, Zhiyuan Shao |
| 2000 | SIGMOD | Towards Data Mining Benchmarking: A Testbed for Performance Study of Frequent Pattern Mining. | Jian Pei, Runying Mao, Kan Hu, Hua Zhu |
| 1999 | DEXA | DROLAP - A Dense-Region Based Approach to On-Line Analytical Processing. | David Wai-Lok Cheung, Bo Zhou, Ben Kao, Kan Hu, Sau Dan Lee |
| 1998 | SPAA | Asynchronous Parallel Algorithm for Mining Association Rules on a Shared-Memory MultiPprocessors. | David Wai-Lok Cheung, Kan Hu, Shaowei Xia |