Yikang Ouyang

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All published works

Action	Title	Year	Authors
+ PDF Chat	RL-MUL 2.0: Multiplier Design Optimization with Parallel Deep Reinforcement Learning and Space Reduction	2025	Dongsheng Zuo Jiadong Zhu Yikang Ouyang Yuzhe Ma
+ PDF Chat	RL-MUL: Multiplier Design Optimization with Deep Reinforcement Learning	2024	Dongsheng Zuo Jiadong Zhu Yikang Ouyang Yuzhe Ma
+ PDF Chat	RL-MUL: Multiplier Design Optimization with Deep Reinforcement Learning	2023	Dongsheng Zuo Yikang Ouyang Yuzhe Ma

Common Coauthors

Coauthor	Papers Together
Yuzhe Ma	3
Dongsheng Zuo	2
Jiadong Zhu	1
Jiadong Zhu	1
Dongsheng Zuo	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+ PDF Chat	PrefixRL: Optimization of Parallel Prefix Circuits using Deep Reinforcement Learning	2021	Rajarshi Roy Jonathan Raiman Neel Kant Ilyas Elkin Robert Kirby Michael Siu Stuart F. Oberman Saad Godil Bryan Catanzaro	2
+ PDF Chat	Cross-Layer Optimization for High Speed Adders: A Pareto Driven Machine Learning Approach	2018	Yuzhe Ma Subhendu Roy Jin Miao Jiamin Chen Bei Yu	1
+ PDF Chat	Deep Reinforcement Learning	2022	Iddo Drori	1
+ PDF Chat	GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning	2020	Hanrui Wang Kuan Wang Jiacheng Yang Linxiao Shen Nan Sun Hae-Seung Lee Song Han	1
+ PDF Chat	An Efficient Batch-Constrained Bayesian Optimization Approach for Analog Circuit Synthesis via Multiobjective Acquisition Ensemble	2021	Shuhan Zhang Fan Yang Changhao Yan Dian Zhou Xuan Zeng	1