Shaohuai Shi
Harbin Institute of Technology(CN)
Publications by Year
Research Areas
Advanced Neural Network Applications, Stochastic Gradient Optimization Techniques, Privacy-Preserving Technologies in Data, Machine Learning and ELM, Parallel Computing and Optimization Techniques
Most-Cited Works
- → Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes(2018)313 cited
- → Benchmarking State-of-the-Art Deep Learning Software Tools(2016)301 cited
- → A Distributed Synchronous SGD Algorithm with Global Top-k Sparsification for Low Bandwidth Networks(2019)163 cited
- → GossipFL: A Decentralized Federated Learning Framework With Sparsified and Adaptive Communication(2022)132 cited
- → Performance Modeling and Evaluation of Distributed Deep Learning Frameworks on GPUs(2018)115 cited
- → MG-WFBP: Efficient Data Communication for Distributed Synchronous SGD Algorithms(2019)98 cited
- → FADNet: A Fast and Accurate Network for Disparity Estimation(2020)96 cited
- → Communication-Efficient Distributed Deep Learning: A Comprehensive Survey(2020)89 cited
- → Benchmarking the Performance and Energy Efficiency of AI Accelerators for AI Training(2020)74 cited
- → A Convergence Analysis of Distributed SGD with Communication-Efficient Gradient Sparsification(2019)73 cited