Ye Yang

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All published works

Action	Title	Year	Authors
+	Generative Max-Mahalanobis Classifiers for Image Classification, Generation and More	2021	Xiulong Yang Hui Ye Ye Yang Xiang Li Shihao Ji
+	Sparse Graph Attention Networks	2019	Ye Yang Shihao Ji

Common Coauthors

Coauthor	Papers Together
Shihao Ji	2
Hui Ye	1
Xiang Li	1
Xiulong Yang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	2
+	Bayesian Learning via Stochastic Gradient Langevin Dynamics	2011	Max Welling Yee Whye Teh	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	A Theory of Generative ConvNet	2016	Jianwen Xie Yang Lu Song‐Chun Zhu Ying Wu	1
+	A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks	2016	Dan Hendrycks Kevin Gimpel	1
+	Categorical Reparameterization with Gumbel-Softmax	2016	Eric Jang Shixiang Gu Ben Poole	1
+	Graph Convolutional Matrix Completion	2017	Rianne van den Berg Thomas Kipf Max Welling	1
+	Stochastic Variational Optimization	2018	Thomas Bird Julius Kunze David Barber	1
+	Large Scale GAN Training for High Fidelity Natural Image Synthesis	2018	Andrew Brock Jeff Donahue Karen Simonyan	1
+	Do Deep Generative Models Know What They Don't Know?	2018	Eric Nalisnick Akihiro Matsukawa Yee Whye Teh Dilan Görür Balaji Lakshminarayanan	1
+	Robustness May Be at Odds with Accuracy	2018	Dimitris Tsipras Shibani Santurkar Logan Engstrom Alexander Turner Aleksander Mądry	1
+	Invertible Residual Networks	2018	Jens Behrmann Will Grathwohl Ricky T. Q. Chen David Duvenaud Jörn-Henrik Jacobsen	1
+	Pitfalls of Graph Neural Network Evaluation	2018	Oleksandr Shchur Maximilian Mumme Aleksandar Bojchevski Stephan Günnemann	1
+	Implicit Generation and Generalization in Energy-Based Models.	2019	Yilun Du Igor Mordatch	1
+	On Learning Non-Convergent Short-Run MCMC Toward Energy-Based Model.	2019	Erik Nijkamp Song‐Chun Zhu Ying Wu	1
+	Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model	2019	Erik Nijkamp Mitch Hill Song‐Chun Zhu Ying Wu	1
+	Residual Flows for Invertible Generative Modeling	2019	Ricky T. Q. Chen Jens Behrmann David Duvenaud Jörn-Henrik Jacobsen	1
+ PDF Chat	Rethinking Feature Distribution for Loss Functions in Image Classification	2018	Weitao Wan Yuanyi Zhong Tianpeng Li Jiansheng Chen	1
+	Revisiting Semi-Supervised Learning with Graph Embeddings	2016	Zhilin Yang William W. Cohen Ruslan Salakhutdinov	1
+	Improved Techniques for Training GANs	2016	Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen	1
+	Adversarial Machine Learning at Scale	2016	Alexey Kurakin Ian Goodfellow Samy Bengio	1
+	Representation Learning on Graphs: Methods and Applications	2017	William L. Hamilton Rex Ying Jure Leskovec	1
+	Learning Sparse Neural Networks through $L_0$ Regularization	2017	Christos Louizos Max Welling Diederik P. Kingma	1
+ PDF Chat	Towards Evaluating the Robustness of Neural Networks	2017	Nicholas Carlini David Wagner	1
+	Graph Attention Networks	2018	Petar Veličković Guillem Cucurull Arantxa Casanova Adriana Romero Píetro Lió Yoshua Bengio	1
+	GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium	2017	Martin Heusel Hubert Ramsauer Thomas Unterthiner Bernhard Nessler Sepp Hochreiter	1
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	1
+	Convolutional Networks on Graphs for Learning Molecular Fingerprints	2015	David Duvenaud Dougal Maclaurin Jorge Aguilera‐Iparraguirre Rafael Gómez‐Bombarelli Timothy Hirzel Alán Aspuru‐Guzik Ryan P. Adams	1
+	Wide Residual Networks	2016	Sergey Zagoruyko Nikos Komodakis	1
+	Towards Deep Learning Models Resistant to Adversarial Attacks.	2018	Aleksander Mądry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu	1
+	Neural Machine Translation by Jointly Learning to Align and Translate	2015	Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio	1
+	Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs	2019	Minjie Wang Lingfan Yu Da Zheng Quan Gan Yu Gai Zihao Ye Mufei Li Jinjing Zhou Qi Huang Chao Ma	1
+	Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness	2020	Tianyu Pang Kun Xu Yinpeng Dong Chao Du Ning Chen Jun Zhu	1
+ PDF Chat	Flow Contrastive Estimation of Energy-Based Models	2020	Ruiqi Gao Erik Nijkamp Diederik P. Kingma Zhen Xu Andrew M. Dai Ying Wu	1
+ PDF Chat	An Information Flow Model for Conflict and Fission in Small Groups	1977	Wayne Zachary	1
+ PDF Chat	DeepWalk	2014	Bryan Perozzi Rami Al‐Rfou Steven Skiena	1
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin	1
+ PDF Chat	LINE	2015	Jian Tang Meng Qu Wang Ming-zhe Ming Zhang Jun Yan Qiaozhu Mei	1