Jun Wu

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All published works

Action	Title	Year	Authors
+	Personalized Federated Learning with Parameter Propagation	2023	Jun Wu Wenxuan Bao Elizabeth A. Ainsworth Jingrui He
+ PDF Chat	Privacy Inference-Empowered Stealthy Backdoor Attack on Federated Learning under Non-IID Scenarios	2023	Haochen Mei Gaolei Li Jun Wu Longfei Zheng
+	Optimizing the Collaboration Structure in Cross-Silo Federated Learning	2023	Wenxuan Bao Haohan Wang Jun Wu Jingrui He
+	Privacy Inference-Empowered Stealthy Backdoor Attack on Federated Learning under Non-IID Scenarios	2023	Haochen Mei Gaolei Li Jun Wu Longfei Zheng
+ PDF Chat	A Unified Meta-Learning Framework for Dynamic Transfer Learning	2022	Jun Wu Jingrui He
+	Robust Decentralized Learning for Neural Networks.	2020	Yao Zhou Jun Wu Jingrui He
+	Continuous Transfer Learning with Label-informed Distribution Alignment	2020	Jun Wu Jingrui He
+	Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated Learning	2020	Yao Zhou Jun Wu Haixun Wang Jingrui He
+	Scalable Manifold-Regularized Attributed Network Embedding via Maximum Mean Discrepancy	2019	Jun Wu Jingrui He
+ PDF Chat	DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification	2019	Jun Wu Jingrui He Jiejun Xu
+	DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification	2019	Jun Wu Jingrui He Jiejun Xu
+	ImVerde: Vertex-Diminished Random Walk for Learning Network Representation from Imbalanced Data	2018	Jun Wu Jingrui He Yongming Liu

Common Coauthors

Coauthor	Papers Together
Jingrui He	10
Longfei Zheng	2
Yao Zhou	2
Gaolei Li	2
Haochen Mei	2
Jiejun Xu	2
Wenxuan Bao	2
Haohan Wang	1
Haixun Wang	1
Elizabeth A. Ainsworth	1
Yongming Liu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Representation Learning on Graphs: Methods and Applications	2017	William L. Hamilton Rex Ying Jure Leskovec	3
+ PDF Chat	New Analysis and Algorithm for Learning with Drifting Distributions	2012	Mehryar Mohri Andrés Muñoz Medina	3
+	Inductive Representation Learning on Large Graphs	2017	William L. Hamilton Rex Ying Jure Leskovec	3
+ PDF Chat	Towards Evaluating the Robustness of Neural Networks	2017	Nicholas Carlini David Wagner	2
+	How To Backdoor Federated Learning	2018	Eugene Bagdasaryan Andreas Veit Yiqing Hua Deborah Estrin Vitaly Shmatikov	2
+ PDF Chat	Feature hashing for large scale multitask learning	2009	Kilian Q. Weinberger Anirban Dasgupta John Langford Alex Smola Josh Attenberg	2
+	Federated Learning for Mobile Keyboard Prediction	2018	Andrew Hard Chloé Kiddon Daniel Ramage Françoise Beaufays Hubert Eichner K. Praveen Kumar Rao Rajiv Mathews Sean Augenstein	2
+	Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering	2016	Michaël Defferrard Xavier Bresson Pierre Vandergheynst	2
+	To transfer or not to transfer	2005	Michael T. Rosenstein	2
+	Pitfalls of Graph Neural Network Evaluation	2018	Oleksandr Shchur Maximilian Mumme Aleksandar Bojchevski Stephan Günnemann	2
+	Robust Federated Learning Through Representation Matching and Adaptive Hyper-parameters	2019	Hesham Mostafa	2
+	MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications	2017	Andrew Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand Marco Andreetto Hartwig Adam	2
+	Reconciling modern machine-learning practice and the classical bias–variance trade-off	2019	Mikhail Belkin Daniel Hsu Siyuan Ma Soumik Mandal	2
+	Domain Adaptation: Learning Bounds and Algorithms	2009	Yishay Mansour Mehryar Mohri Afshin Rostamizadeh	2
+	How Powerful are Graph Neural Networks?	2018	Keyulu Xu Weihua Hu Jure Leskovec Stefanie Jegelka	2
+	Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning	2018	Qimai Li Zhichao Han Xiao-Ming Wu	2
+	Ensemble Adversarial Training: Attacks and Defenses	2017	Florian Tramèr Alexey Kurakin Nicolas Papernot Ian Goodfellow Dan Boneh Patrick McDaniel	2
+	Graph Attention Networks	2018	Petar Veličković Guillem Cucurull Arantxa Casanova Adriana Romero Píetro Lió Yoshua Bengio	2
+	Robust Aggregation for Federated Learning	2019	Krishna Pillutla Sham M. Kakade Zaïd Harchaoui	2
+	Towards Realistic Byzantine-Robust Federated Learning	2020	Amit Portnoy Danny Hendler	2
+ PDF Chat	DeepWalk	2014	Bryan Perozzi Rami Al‐Rfou Steven Skiena	2
+ PDF Chat	<i>struc2vec</i>	2017	Leonardo F. R. Ribeiro Pedro H.P. Saverese Daniel R. Figueiredo	2
+	On the Convergence and Robustness of Adversarial Training	2021	Yisen Wang Xingjun Ma James Bailey Jinfeng Yi Bowen Zhou Quanquan Gu	2
+	Federated Learning: Strategies for Improving Communication Efficiency	2016	Jakub Konečný H. Brendan McMahan Felix X. Yu Peter Richtárik Ananda Theertha Suresh Dave Bacon	2
+ PDF Chat	Characterizing and Avoiding Negative Transfer	2019	Zi-Rui Wang Zihang Dai Barnabás Póczos Jaime Carbonell	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+ PDF Chat	Domain-Adversarial Training of Neural Networks	2017	Yaroslav Ganin Evgeniya Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette Mario Marchand Victor Lempitsky	2
+	Federated Optimization in Heterogeneous Networks	2018	Tian Li Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith	2
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	2
+ PDF Chat	Learning Structural Node Embeddings via Diffusion Wavelets	2018	Claire Donnat Marinka Žitnik David Hallac Jure Leskovec	2
+	Provable defenses against adversarial examples via the convex outer adversarial polytope	2017	J. Zico Kolter Eric Wong	1
+	BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain	2017	Tianyu Gu Brendan Dolan-Gavitt Siddharth Garg	1
+	Semi-Supervised Learning with Generative Adversarial Networks	2016	Augustus Odena	1
+	TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning	2017	Wei Wen Cong Xu Feng Yan Chunpeng Wu Yandan Wang Yiran Chen Hai Li	1
+	Learning Convolutional Neural Networks for Graphs	2016	Mathias Niepert Mohamed M. Ahmed Konstantin Kutzkov	1
+ PDF Chat	Vertex-reinforced random walk	1992	Robin Pemantle	1
+ PDF Chat	Fashion Forward: Forecasting Visual Style in Fashion	2017	Ziad Al-Halah Rainer Stiefelhagen Kristen Grauman	1
+	Adversarial Training and Robustness for Multiple Perturbations	2019	Florian Tramèr Dan Boneh	1
+	Neural Message Passing for Quantum Chemistry	2017	Justin Gilmer Samuel S. Schoenholz Patrick Riley Oriol Vinyals George E. Dahl	1
+	Learning Transferable Features with Deep Adaptation Networks	2015	Mingsheng Long Yue Cao Jianmin Wang Michael I. Jordan	1
+	Improving predictive inference under covariate shift by weighting the log-likelihood function	2000	Hidetoshi Shimodaira	1
+	The foundations of cost-sensitive learning	2001	Charles Elkan	1
+	Analyzing Federated Learning through an Adversarial Lens	2018	Arjun Nitin Bhagoji Supriyo Chakraborty Prateek Mittal Seraphin Calo	1
+	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	2017	Chelsea Finn Pieter Abbeel Sergey Levine	1
+	Rademacher Complexity for Adversarially Robust Generalization	2018	Dong Yin Kannan Ramchandran Peter L. Bartlett	1
+ PDF Chat	Adversarial Discriminative Domain Adaptation	2017	Eric Tzeng Judy Hoffman Kate Saenko Trevor Darrell	1
+	Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data	2018	Eunjeong Jeong Seungeun Oh Hyesung Kim Jihong Park Mehdi Bennis Seong-Lyun Kim	1
+	Bridging Theory and Algorithm for Domain Adaptation	2019	Yuchen Zhang Tianle Liu Mingsheng Long Michael I. Jordan	1
+ PDF Chat	SMOTE: Synthetic Minority Over-sampling Technique	2002	Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Philip Kegelmeyer	1
+	Robustness May Be at Odds with Accuracy	2018	Dimitris Tsipras Shibani Santurkar Logan Engstrom Alexander Turner Aleksander Mądry	1