| 2026 | AAAI | RCMoE: A Communication-Efficient Random Compression Framework for Resource-Constrained Mixture-of-Experts Training. | Donglei Wu, Xiao Cai, Jinglei Tan, Jinda Jia, Guangming Tan, Dingwen Tao, Wen Xia, Zhihong Tian |
| 2025 | DAC | BirdMoE: Reducing Communication Costs for Mixture-of-Experts Training Using Load-Aware Bi-random Quantization. | Donglei Wu, Weihao Yang, Xiangyu Zou, Jinda Jia, Dingwen Tao, Wen Xia, Zhihong Tian |
| 2023 | ICCD | BIRD: A Lightweight and Adaptive Compressor for Communication-Efficient Distributed Learning Using Tensor-wise Bi-Random Sampling. | Donglei Wu, Weihao Yang, Cai Deng, Xiangyu Zou, Shiyi Li, Wen Xia |
| 2022 | AAAI | SmartIdx: Reducing Communication Cost in Federated Learning by Exploiting the CNNs Structures. | Donglei Wu, Xiangyu Zou, Shuyu Zhang, Haoyu Jin, Wen Xia, Binxing Fang |
| 2021 | ICCD | Smart-DNN: Efficiently Reducing the Memory Requirements of Running Deep Neural Networks on Resource-constrained Platforms. | Zhenbo Hu, Xiangyu Zou, Wen Xia, Yuhong Zhao, Weizhe Zhang, Donglei Wu |
| 2021 | ICCD | QD-Compressor: a Quantization-based Delta Compression Framework for Deep Neural Networks. | Shuyu Zhang, Donglei Wu, Haoyu Jin, Xiangyu Zou, Wen Xia, Xiaojia Huang |