Yanhui Geng

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All published works

Action	Title	Year	Authors
+ PDF Chat	Structured Directional Pruning via Perturbation Orthogonal Projection	2024	Xiaofeng Liu Qing Wang Yunfeng Shao Yanhui Geng Yinchuan Li
+ PDF Chat	Sparse Personalized Federated Learning	2023	Xiaofeng Liu Yinchuan Li Qing Wang Xu Zhang Yunfeng Shao Yanhui Geng
+	A causal direction test for heterogeneous populations	2021	Vahid Partovi Nia LI Xin-lin Masoud Asgharian Shoubo Hu Yanhui Geng Zhitang Chen
+	Personalized Federated Learning via Maximizing Correlation with Sparse and Hierarchical Extensions.	2021	Yinchuan Li Xiaofeng Liu Xu Zhang Yunfeng Shao Qing Wang Yanhui Geng
+	Structured Directional Pruning via Perturbation Orthogonal Projection	2021	Yinchuan Li Xiaofeng Liu Yunfeng Shao Qing Wang Yanhui Geng
+	Sparse Personalized Federated Learning	2021	Xiaofeng Liu Yinchuan Li Qing Wang Xu Zhang Yunfeng Shao Yanhui Geng
+	Clustering Causal Additive Noise Models	2020	Vahid Partovi Nia Xinlin Li Masoud Asgharian Shoubo Hu Zhitang Chen Yanhui Geng
+	A Causal Direction Test for Heterogeneous Populations	2020	Vahid Partovi Nia Xinlin Li Masoud Asgharian Shoubo Hu Zhitang Chen Yanhui Geng
+ PDF Chat	Node-Constrained Traffic Engineering: Theory and Applications	2019	George Trimponias Yan Xiao Xiaorui Wu Hong Xu Yanhui Geng
+	Node-Constrained Traffic Engineering: Theory and Applications	2019	George Trimponias Yan Xiao Xiaorui Wu Hong Xu Yanhui Geng
+	Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models	2018	Shoubo Hu Zhitang Chen Vahid Partovi Nia Laiwan Chan Yanhui Geng
+	On Traffic Engineering with Segment Routing in SDN based WANs.	2017	George Trimponias Yan Xiao Hong Xu Xiaorui Wu Yanhui Geng
+	Centrality-based Middlepoint Selection for Traffic Engineering with Segment Routing	2017	George Trimponias Yan Xiao Hong Xu Xiaorui Wu Yanhui Geng
+	Information-Theoretic Bounds for Performance of Resource-Constrained Communication Systems	2014	Albert Y. S. Lam Yanhui Geng Victor O. K. Li

Common Coauthors

Coauthor	Papers Together
Yinchuan Li	5
Yunfeng Shao	5
Vahid Partovi Nia	4
Shoubo Hu	4
Xiaorui Wu	4
George Trimponias	4
Yan Xiao	3
Hong Xu	3
Qing Wang	3
Masoud Asgharian	3
Zhitang Chen	3
Xiaofeng Liu	2
Xiaofeng Liu	2
Xinlin Li	2
Laiwan Chan	1
LI Xin-lin	1
Yan Xiao	1
Hong Xu	1
Albert Y. S. Lam	1
Victor O. K. Li	1
Zhitang Chen	1
Xiaofeng Liu	1
Qing Wang	1
Qing Wang	1
Xu Zhang	1
Xu Zhang	1
Xu Zhang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Online Admission Control and Embedding of Service Chains	2015	Tamás Lukovszki Stefan Schmid	3
+	Polynomial algorithms in linear programming	1980	Leonid Khachiyan	3
+	A Set of Measures of Centrality Based on Betweenness	1977	Linton C. Freeman	3
+ PDF Chat	Causal Inference Using the Algorithmic Markov Condition	2010	Dominik Janzing Bernhard Schölkopf	3
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	3
+ PDF Chat	Incremental deployment of network monitors based on Group Betweenness Centrality	2009	Shlomi Dolev Yuval Elovici Rami Puzis Polina Zilberman	3
+	Distinguishing cause from effect using observational data: methods and benchmarks	2016	Joris M. Mooij Jonas Peters Dominik Janzing Jakob Zscheischler Bernhard Schölkopf	3
+ PDF Chat	Training Sparse Neural Networks	2017	Suraj Srinivas Akshayvarun Subramanya R. Venkatesh Babu	2
+	The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models	1976	James J. Heckman	2
+	Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms	2017	Xiao Han Kashif Rasul Roland Vollgraf	2
+ PDF Chat	The future of digital health with federated learning	2020	Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletarì Holger R. Roth Shadi Albarqouni Spyridon Bakas Mathieu Galtier Bennett A. Landman Klaus H. Maier‐Hein	2
+ PDF Chat	Compressed sensing with prior information via maximizing correlation	2017	Xu Zhang Wei Cui Yulong Liu	2
+ PDF Chat	Recovery of Structured Signals With Prior Information via Maximizing Correlation	2018	Xu Zhang Wei Cui Yulong Liu	2
+ PDF Chat	Simpson's paradox visualized: The example of the Rosiglitazone meta-analysis	2008	Gerta Rücker Martin Schumacher	2
+ PDF Chat	Stable Recovery of Structured Signals From Corrupted Sub-Gaussian Measurements	2018	Jinchi Chen Yulong Liu	2
+ PDF Chat	Bag of Tricks for Image Classification with Convolutional Neural Networks	2019	Tong He Zhi Zhang Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li	2
+	PyTorch: An Imperative Style, High-Performance Deep Learning Library	2019	Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury Gregory Chanan Trevor Killeen Zeming Lin Natalia Gimelshein Luca Antiga	2
+	Saddlepoint Approximations to the CDF of Some Statistics with Nonnormal Limit Distributions	1993	Andrew T. A. Wood James G. Booth Ronald W. Butler	2
+ PDF Chat	Centrality in valued graphs: A measure of betweenness based on network flow	1991	Linton C. Freeman Stephen P. Borgatti Dougľas R. White	2
+ PDF Chat	Estimating the Dimension of a Model	1978	Gideon Schwarz	2
+	Federated Learning with Personalization Layers	2019	Manoj Ghuhan Arivazhagan Vinay K. Aggarwal Aaditya Kumar Singh Sunav Choudhary	2
+	The State of Sparsity in Deep Neural Networks	2019	Trevor Gale Erich Elsen Sara Hooker	2
+	Communication-Efficient Local Decentralized SGD Methods	2019	Xiang Li Wenhao Yang Shusen Wang Zhihua Zhang	2
+ PDF Chat	A Simple Tool for Bounding the Deviation of Random Matrices on Geometric Sets	2017	Christopher Liaw Abbas Mehrabian Yaniv Plan Roman Vershynin	2
+	Adaptive Personalized Federated Learning	2020	Yuyang Deng Mohammad Mahdi Kamani Mehrdad Mahdavi	2
+	Compressed Sensing With Prior Information: Strategies, Geometry, and Bounds	2017	João F. C. Mota Nikos Deligiannis Miguel R. D. Rodrigues	2
+ PDF Chat	Towards Optimal Structured CNN Pruning via Generative Adversarial Learning	2019	Shaohui Lin Rongrong Ji Chenqian Yan Baochang Zhang Liujuan Cao Qixiang Ye Feiyue Huang David Doermann	1
+ PDF Chat	Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration	2019	Yang He Ping Liu Ziwei Wang Zhilan Hu Yi Yang	1
+	On Causal and Anticausal Learning	2012	Bernhard Schoelkopf Dominik Janzing Jonas Peters Eleni Sgouritsa Kun Zhang Joris M. Mooij	1
+	Rethinking the Value of Network Pruning	2018	Zhuang Liu Mingjie Sun Tinghui Zhou Gao Huang Trevor Darrell	1
+	Inferring deterministic causal relations	2012	Povilas Daniušis Dominik Janzing Joris M. Mooij Jakob Zscheischler Bastian Steudel Kun Zhang Bernhard Schoelkopf	1
+ PDF Chat	Learning Efficient Convolutional Networks through Network Slimming	2017	Zhuang Liu Jianguo Li Zhiqiang Shen Gao Huang Shoumeng Yan Changshui Zhang	1
+ PDF Chat	Channel Pruning for Accelerating Very Deep Neural Networks	2017	Yihui He Xiangyu Zhang Jian Sun	1
+	Reconciling modern machine-learning practice and the classical bias–variance trade-off	2019	Mikhail Belkin Daniel Hsu Siyuan Ma Soumik Mandal	1
+	Characterizing Implicit Bias in Terms of Optimization Geometry	2018	Suriya Gunasekar Jason D. Lee Daniel Soudry Nathan Srebro	1
+	The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks.	2019	Jonathan Frankle Michael Carbin	1
+	Bayesian Joint Spike-and-Slab Graphical Lasso	2018	Zehang Li Tyler H. McCormick Samuel J. Clark	1
+	Asymmetric Valleys: Beyond Sharp and Flat Local Minima	2019	Haowei He Gao Huang Yuan Yang	1
+	A generalization of regularized dual averaging and its dynamics	2019	Shih-Kang Chao Guang Cheng	1
+	Hyper-Sphere Quantization: Communication-Efficient SGD for Federated Learning	2019	Xinyan Dai Yan Xiao Kaiwen Zhou Han Yang Kelvin K. W. Ng James Cheng Fan Yu	1
+	Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data	2019	Felix Sattler Simon Wiedemann Klaus‐Robert Müller Wojciech Samek	1
+ PDF Chat	Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation	2019	Yang Chen Xiaoyan Sun Yaochu Jin	1
+	Federated Learning of a Mixture of Global and Local Models	2020	Filip Hanzely Peter Richtárik	1
+	Three Approaches for Personalization with Applications to Federated Learning	2020	Yishay Mansour Mehryar Mohri Jae Hun Ro Ananda Theertha Suresh	1
+ PDF Chat	Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge Based Framework	2020	Qiong Wu Kaiwen He Xu Chen	1
+	UVeQFed: Universal Vector Quantization for Federated Learning	2020	Nir Shlezinger Mingzhe Chen Yonina C. Eldar H. Vincent Poor Shuguang Cui	1
+	SCAFFOLD: Stochastic Controlled Averaging for Federated Learning	2019	Sai Praneeth Karimireddy Satyen Kale Mehryar Mohri Sashank J. Reddi Sebastian U. Stich Ananda Theertha Suresh	1
+	Federated Optimization in Heterogeneous Networks	2018	Tian Li Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith	1
+ PDF Chat	Client-Edge-Cloud Hierarchical Federated Learning	2020	Lumin Liu Jun Zhang Shenghui Song Khaled B. Letaief	1
+ PDF Chat	Federated Learning: Challenges, Methods, and Future Directions	2020	Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith	1