Donglei Wu

14 papers A* 3C 3Journal 8
YearRankTypeTitle / Venue / Authors
2026 A* conf
RCMoE: A Communication-Efficient Random Compression Framework for Resource-Constrained Mixture-of-Experts Training.
AAAI
Donglei Wu, Xiao Cai, Jinglei Tan, Jinda Jia, Guangming Tan, Dingwen Tao, Wen Xia, Zhihong Tian
2025 A* conf
BirdMoE: Reducing Communication Costs for Mixture-of-Experts Training Using Load-Aware Bi-random Quantization.
DAC
Donglei Wu, Weihao Yang, Xiangyu Zou, Jinda Jia, Dingwen Tao, Wen Xia, Zhihong Tian
2025 J jnl
HybridEP: Scaling Expert Parallelism to Cross-Datacenter Scenario via Hybrid Expert/Data Transmission.
CoRR
Weihao Yang, Hao Huang, Donglei Wu, Ningke Li, Yanqi Pan, Qiyang Zheng, Wen Xia, Shiyi Li, Qiang Wang
2024 J jnl
BIRD+: Design of a Lightweight Communication Compressor for Resource-Constrained Distribution Learning Platforms.
IEEE Trans. Parallel Distributed Syst.
Donglei Wu, Weihao Yang, Xiangyu Zou, Hao Feng, Dingwen Tao, Shiyi Li, Wen Xia, Binxing Fang
2024 J jnl
FedComp: A Federated Learning Compression Framework for Resource-Constrained Edge Computing Devices.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Donglei Wu, Weihao Yang, Haoyu Jin, Xiangyu Zou, Wen Xia, Binxing Fang
2024 J jnl
HRN: Haze-Relevant Network Using Multi-Object Constraints for Single Image Dehazing.
Comput. Informatics
Shuying Huang, Mingyang Ren, Donglei Wu, Yong Yang, Weiguo Wan, Yingzhi Wei
2023 C conf
BIRD: A Lightweight and Adaptive Compressor for Communication-Efficient Distributed Learning Using Tensor-wise Bi-Random Sampling.
ICCD
Donglei Wu, Weihao Yang, Cai Deng, Xiangyu Zou, Shiyi Li, Wen Xia
2023 J jnl
Design of a Quantization-Based DNN Delta Compression Framework for Model Snapshots and Federated Learning.
IEEE Trans. Parallel Distributed Syst.
Haoyu Jin, Donglei Wu, Shuyu Zhang, Xiangyu Zou, Sian Jin, Dingwen Tao, Qing Liao, Wen Xia
2023 J jnl
Smart-DNN+: A Memory-efficient Neural Networks Compression Framework for the Model Inference.
ACM Trans. Archit. Code Optim.
Donglei Wu, Weihao Yang, Xiangyu Zou, Wen Xia, Shiyi Li, Zhenbo Hu, Weizhe Zhang, Binxing Fang
2022 A* conf
SmartIdx: Reducing Communication Cost in Federated Learning by Exploiting the CNNs Structures.
AAAI
Donglei Wu, Xiangyu Zou, Shuyu Zhang, Haoyu Jin, Wen Xia, Binxing Fang
2021 J jnl
Application of Data Mining in Traditional Benchmark Evaluation Model for Buildings Energy Consumption.
Sci. Program.
Donglei Wu, Minwei Guo
2021 C conf
QD-Compressor: a Quantization-based Delta Compression Framework for Deep Neural Networks.
ICCD
Shuyu Zhang, Donglei Wu, Haoyu Jin, Xiangyu Zou, Wen Xia, Xiaojia Huang
2021 C conf
Smart-DNN: Efficiently Reducing the Memory Requirements of Running Deep Neural Networks on Resource-constrained Platforms.
ICCD
Zhenbo Hu, Xiangyu Zou, Wen Xia, Yuhong Zhao, Weizhe Zhang, Donglei Wu
2018 J jnl
Image Dehazing Based on Robust Sparse Representation.
IEEE Access
Shuying Huang, Donglei Wu, Yong Yang, Haijun Zhu