| 2023 | ICA3PP | Optimizing the Parallelism of Communication and Computation in Distributed Training Platform. | Xiang Hou, Yuan Yuan, Sheng Ma, Rui Xu, Bo Wang, Tiejun Li, Wei Jiang, Lizhou Wu, Jianmin Zhang |
| 2022 | ICA3PP | PipeFB: An Optimized Pipeline Parallelism Scheme to Reduce the Peak Memory Usage. | Wei Jiang, Bo Wang, Sheng Ma, Xiang Hou, Libo Huang, Yi Dai, Jianbin Fang |
| 2022 | ICA3PP | SparG: A Sparse GEMM Accelerator for Deep Learning Applications. | Bo Wang, Sheng Ma, Yuan Yuan, Yi Dai, Wei Jiang, Xiang Hou, Xiao Yi, Rui Xu |
| 2021 | ISPA | Co-designing the Topology/Algorithm to Accelerate Distributed Training. | Xiang Hou, Rui Xu, Sheng Ma, Qiong Wang, Wei Jiang, Hongyi Lu |
| 2021 | ISPA | A Memory Saving Mechanism Based on Data Transferring for Pipeline Parallelism. | Wei Jiang, Rui Xu, Sheng Ma, Qiong Wang, Xiang Hou, Hongyi Lu |
| 2013 | ICNC | A new form of the moment generating function of Weibull distribution. | Xiang Hou, Rongxi He, Xudong Wang, Zheng Yang |
| 2013 | SECON | Data preservation in intermittently connected sensor networks with data priority. | Xinyu Xue, Xiang Hou, Bin Tang, Rajiv Bagai |
| 2012 | MASS | Maximizing data preservation in intermittently connected sensor networks. | Xiang Hou, Zane Sumpter, Lucas Burson, Xinyu Xue, Bin Tang |