Zhou Wang

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All published works

Action	Title	Year	Authors
+ PDF Chat	Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning	2020	Xiang Ni Jing Li Mo Yu Zhou Wang Kun-Lung Wu
+	Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning	2019	Xiang Ni Jing Li Mo Yu Zhou Wang Kun‐Lung Wu
+ PDF Chat	Asymptotic distributions of the signal-to-interference ratios of LMMSE detection in multiuser communications	2007	Guangming Pan Meihui Guo Zhou Wang

Common Coauthors

Coauthor	Papers Together
Mo Yu	2
Xiang Ni	2
Jing Li	1
Jing Li	1
Kun-Lung Wu	1
Kun‐Lung Wu	1
Meihui Guo	1
Guangming Pan	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model	2018	Kun Xu Lingfei Wu Zhiguo Wang Mo Yu Liwei Chen Vadim Sheinin	2
+	Learning Combinatorial Optimization Algorithms over Graphs	2017	Hanjun Dai Elias B. Khalil Yuyu Zhang Bistra Dilkina Le Song	2
+	Neural Architecture Search with Reinforcement Learning	2016	Barret Zoph Quoc V. Le	2
+ PDF Chat	A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning	2017	Ning Liu Zhe Li Jielong Xu Zhiyuan Xu Sheng Lin Qinru Qiu Jian Tang Yanzhi Wang	2
+ PDF Chat	No eigenvalues outside the support of the limiting spectral distribution of large-dimensional sample covariance matrices	1998	Zhidong Bai Jack W. Silverstein	1
+	Analysis of the Limiting Spectral Distribution of Large Dimensional Random Matrices	1995	Jack W. Silverstein Sang Il Choi	1
+	Random Matrix Theory and Wireless Communications	2004	Antonia M. Tulino Sergio Verdú	1
+	Neural Machine Translation by Jointly Learning to Align and Translate	2014	Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio	1
+	METHODOLOGIES IN SPECTRAL ANALYSIS OF LARGE DIMENSIONAL RANDOM MATRICES, A REVIEW	2008	Zhidong Bai	1
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	1
+	Device Placement Optimization with Reinforcement Learning	2017	Azalia Mirhoseini Hieu Pham Quoc V. Le Benoit Steiner Rasmus Larsen Yuefeng Zhou Naveen Kumar Mohammad Norouzi Samy Bengio Jeff Dean	1
+	Retrosynthetic Reaction Prediction Using Neural Sequence-to-Sequence Models	2017	Bowen Liu Bharath Ramsundar Prasad Kawthekar Jade Shi Joseph Gomes Quang Luu Nguyen Stephen Ho Jack L. Sloane Paul A. Wender Vijay S. Pande	1
+	Inductive Representation Learning on Large Graphs	2017	William L. Hamilton Rex Ying Jure Leskovec	1
+	Progressive Neural Architecture Search	2017	Chenxi Liu Barret Zoph Maxim Neumann Jonathon Shlens Wei Hua Li-Jia Li Li Fei-Fei Alan Yuille Jonathan Huang Kevin Murphy	1
+	Junction Tree Variational Autoencoder for Molecular Graph Generation	2018	Wengong Jin Regina Barzilay Tommi Jaakkola	1
+	Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing	2018	Liang Chen Mohammad Norouzi Jonathan Berant Quoc V. Le Ni Lao	1
+	Learning Scheduling Algorithms for Data Processing Clusters	2018	Hongzi Mao Malte Schwarzkopf Shaileshh Bojja Venkatakrishnan Zili Meng Mohammad Alizadeh	1
+	Learning Multimodal Graph-to-Graph Translation for Molecular Optimization	2018	Wengong Jin Kevin Yang Regina Barzilay Tommi Jaakkola	1
+	DAG-GNN: DAG Structure Learning with Graph Neural Networks	2019	Yue Yu Jie Chen Tian Gao Mo Yu	1
+	Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing	2018	Liang Chen Mohammad Norouzi Jonathan Berant Quoc V. Le Ni Lao	1
+	A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning	2017	Ning Liu Zhe Li Zhiyuan Xu Jielong Xu Sheng Lin Qinru Qiu Jian Tang Yanzhi Wang	1
+	Learning to Search Better Than Your Teacher	2015	Kai-Wei Chang Akshay Krishnamurthy Alekh Agarwal Hal Daumé John Langford	1
+	Device Placement Optimization with Reinforcement Learning	2017	Azalia Mirhoseini Hieu Pham Quoc V. Le Benoit Steiner Rasmus Larsen Yuefeng Zhou Naveen Kumar Mohammad Norouzi Samy Bengio Jeff Dean	1
+ PDF Chat	Progressive Neural Architecture Search	2018	Chenxi Liu Barret Zoph Maxim Neumann Jonathon Shlens Hua Wei Li-Jia Li Li Fei-Fei Alan Yuille Jonathan Huang Kevin Murphy	1
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	1
+	Neural Machine Translation by Jointly Learning to Align and Translate	2015	Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio	1
+	Learning scheduling algorithms for data processing clusters	2019	Hongzi Mao Malte Schwarzkopf Shaileshh Bojja Venkatakrishnan Zili Meng Mohammad Alizadeh	1
+ PDF Chat	On the signal-to-interference ratio of CDMA systems in wireless communications	2007	Zhidong Bai Jack W. Silverstein	1
+ PDF Chat	Model-free control for distributed stream data processing using deep reinforcement learning	2018	Teng Li Zhiyuan Xu Jian Tang Yanzhi Wang	1
+	Some limit theorems for the eigenvalues of a sample covariance matrix	1982	Dag Jonsson	1
+	Inductive Representation Learning on Large Graphs	2017	William L. Hamilton Rex Ying Jure Leskovec	1
+ PDF Chat	CLT for linear spectral statistics of large-dimensional sample covariance matrices	2004	Zhidong Bai Jack W. Silverstein	1
+	Strong Convergence of the Empirical Distribution of Eigenvalues of Large Dimensional Random Matrices	1995	Jack W. Silverstein	1
+	None	2002	Friedrich Götze А. Н. Тихомиров	1