Shen-Yi Zhao - RankMe

20 papers A* 4Journal 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Clustered Reinforcement Learning. Frontiers Comput. Sci. Xiao Ma, Shen-Yi Zhao, Zhao-Heng Yin, Wu-Jun Li
2024	J	`jnl`	Stochastic normalized gradient descent with momentum for large-batch training. Sci. China Inf. Sci. Shen-Yi Zhao, Chang-Wei Shi, Yin-Peng Xie, Wu-Jun Li
2021	J	`jnl`	On the convergence and improvement of stochastic normalized gradient descent. Sci. China Inf. Sci. Shen-Yi Zhao, Yin-Peng Xie, Wu-Jun Li
2020	J	`jnl`	Stagewise Enlargement of Batch Size for SGD-based Learning. CoRR Shen-Yi Zhao, Yin-Peng Xie, Wu-Jun Li
2020	J	`jnl`	Stochastic Normalized Gradient Descent with Momentum for Large Batch Training. CoRR Shen-Yi Zhao, Yin-Peng Xie, Wu-Jun Li
2019	J	`jnl`	ADASS: Adaptive Sample Selection for Training Acceleration. CoRR Shen-Yi Zhao, Hao Gao, Wu-Jun Li
2019	J	`jnl`	Clustered Reinforcement Learning. CoRR Xiao Ma, Shen-Yi Zhao, Wu-Jun Li
2019	J	`jnl`	Global Momentum Compression for Sparse Communication in Distributed SGD. CoRR Shen-Yi Zhao, Yin-Peng Xie, Hao Gao, Wu-Jun Li
2019	J	`jnl`	On the Convergence of Memory-Based Distributed SGD. CoRR Shen-Yi Zhao, Hao Gao, Wu-Jun Li
2019	J	`jnl`	Quantized Epoch-SGD for Communication-Efficient Distributed Learning. CoRR Shen-Yi Zhao, Hao Gao, Wu-Jun Li
2018	J	`jnl`	Feature-Distributed SVRG for High-Dimensional Linear Classification. CoRR Gong-Duo Zhang, Shen-Yi Zhao, Hao Gao, Wu-Jun Li
2018	A*	`conf`	Proximal SCOPE for Distributed Sparse Learning. NeurIPS Shen-Yi Zhao, Gong-Duo Zhang, Ming-Wei Li, Wu-Jun Li
2018	J	`jnl`	Proximal SCOPE for Distributed Sparse Learning: Better Data Partition Implies Faster Convergence Rate. CoRR Shen-Yi Zhao, Gong-Duo Zhang, Ming-Wei Li, Wu-Jun Li
2017	A*	`conf`	Lock-Free Optimization for Non-Convex Problems. AAAI Shen-Yi Zhao, Gong-Duo Zhang, Wu-Jun Li
2017	A*	`conf`	SCOPE: Scalable Composite Optimization for Learning on Spark. AAAI Shen-Yi Zhao, Ru Xiang, Ying-Hao Shi, Peng Gao, Wu-Jun Li
2016	A*	`conf`	Fast Asynchronous Parallel Stochastic Gradient Descent: A Lock-Free Approach with Convergence Guarantee. AAAI Shen-Yi Zhao, Wu-Jun Li
2016	J	`jnl`	Lock-Free Optimization for Non-Convex Problems. CoRR Shen-Yi Zhao, Gong-Duo Zhang, Wu-Jun Li
2016	J	`jnl`	SCOPE: Scalable Composite Optimization for Learning on Spark. CoRR Shen-Yi Zhao, Ru Xiang, Ying-Hao Shi, Peng Gao, Wu-Jun Li
2015	J	`jnl`	Fast Asynchronous Parallel Stochastic Gradient Decent. CoRR Shen-Yi Zhao, Wu-Jun Li
2015	J	`jnl`	Scalable Stochastic Alternating Direction Method of Multipliers. CoRR Shen-Yi Zhao, Wu-Jun Li, Zhi-Hua Zhou