Fast Asynchronous Parallel Stochastic Gradient Decent. - Shen-Yi Zhao; Wu-Jun Li (CoRR, 2015)

Scalable Stochastic Alternating Direction Method of Multipliers. - Shen-Yi Zhao; Wu-Jun Li; Zhi-Hua Zhou (CoRR, 2015)

Fast Asynchronous Parallel Stochastic Gradient Descent: A Lock-Free Approach with Convergence Guarantee. - Shen-Yi Zhao; Wu-Jun Li (AAAI, 2016)

SCOPE: Scalable Composite Optimization for Learning on Spark. - Shen-Yi Zhao; Ru Xiang; Ying-Hao Shi; Peng Gao; Wu-Jun Li (AAAI, 2017)

Lock-Free Optimization for Non-Convex Problems. - Shen-Yi Zhao; Gong-Duo Zhang; Wu-Jun Li (AAAI, 2017)

Proximal SCOPE for Distributed Sparse Learning. - Shen-Yi Zhao; Gong-Duo Zhang; Ming-Wei Li; Wu-Jun Li (NeurIPS, 2018)

Feature-Distributed SVRG for High-Dimensional Linear Classification. - Gong-Duo Zhang; Shen-Yi Zhao; Hao Gao; Wu-Jun Li (CoRR, 2018)

Proximal SCOPE for Distributed Sparse Learning: Better Data Partition Implies Faster Convergence Rate. - Shen-Yi Zhao; Gong-Duo Zhang; Ming-Wei Li; Wu-Jun Li (CoRR, 2018)

Quantized Epoch-SGD for Communication-Efficient Distributed Learning. - Shen-Yi Zhao; Hao Gao; Wu-Jun Li (CoRR, 2019)

Global Momentum Compression for Sparse Communication in Distributed SGD. - Shen-Yi Zhao; Yin-Peng Xie; Hao Gao; Wu-Jun Li (CoRR, 2019)

On the Convergence of Memory-Based Distributed SGD. - Shen-Yi Zhao; Hao Gao; Wu-Jun Li (CoRR, 2019)

Clustered Reinforcement Learning. - Xiao Ma; Shen-Yi Zhao; Wu-Jun Li (CoRR, 2019)

ADASS: Adaptive Sample Selection for Training Acceleration. - Shen-Yi Zhao; Hao Gao; Wu-Jun Li (CoRR, 2019)

Stagewise Enlargement of Batch Size for SGD-based Learning. - Shen-Yi Zhao; Yin-Peng Xie; Wu-Jun Li (CoRR, 2020)

Stochastic Normalized Gradient Descent with Momentum for Large Batch Training. - Shen-Yi Zhao; Yin-Peng Xie; Wu-Jun Li (CoRR, 2020)

On the convergence and improvement of stochastic normalized gradient descent. - Shen-Yi Zhao; Yin-Peng Xie; Wu-Jun Li (Sci. China Inf. Sci., 2021)

Stochastic normalized gradient descent with momentum for large-batch training. - Shen-Yi Zhao; Chang-Wei Shi; Yin-Peng Xie; Wu-Jun Li (Sci. China Inf. Sci., 2024)

Clustered Reinforcement Learning. - Xiao Ma; Shen-Yi Zhao; Zhao-Heng Yin; Wu-Jun Li (Frontiers Comput. Sci., 2025)