Yingqi Wang

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All published works

Action	Title	Year	Authors
+ PDF Chat	Dynamics-aware Adversarial Attack of Adaptive Neural Networks	2024	Tao An Yueqi Duan Yingqi Wang Jiwen Lu Jie Zhou
+	Dynamics-aware Adversarial Attack of Adaptive Neural Networks	2022	Tao An Yueqi Duan Yingqi Wang Jiwen Lu Jie Zhou

Common Coauthors

Coauthor	Papers Together
Yueqi Duan	2
Jiwen Lu	2
Jie Zhou	2
Tao An	1
Tao An	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	1
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	1
+ PDF Chat	The Limitations of Deep Learning in Adversarial Settings	2016	Nicolas Papernot Patrick McDaniel Somesh Jha Matt Fredrikson Z. Berkay Celik Ananthram Swami	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation	2013	Yoshua Bengio Nicholas Léonard Aaron Courville	1
+ PDF Chat	PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation	2017	Raffaelli Charles Hao Su Kaichun Mo Leonidas Guibas	1
+	Joint 2D-3D-Semantic Data for Indoor Scene Understanding	2017	Iro Armeni Sasha Sax Amir Zamir Silvio Savarese	1
+ PDF Chat	ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes	2017	Angela Dai Anne Lynn S. Chang Manolis Savva Maciej Halber Thomas Funkhouser Matthias Nießner	1
+ PDF Chat	Boosting Adversarial Attacks with Momentum	2018	Yinpeng Dong Fangzhou Liao Tianyu Pang Hang Su Jun Zhu Xiaolin Hu Jianguo Li	1
+ PDF Chat	Convolutional Networks with Adaptive Inference Graphs	2018	Andreas Veit Serge Belongie	1
+ PDF Chat	Generating 3D Adversarial Point Clouds	2019	Chong Xiang Charles R. Qi Bo Li	1
+ PDF Chat	4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks	2019	Christopher Choy JunYoung Gwak Silvio Savarese	1
+ PDF Chat	3D Semantic Segmentation with Submanifold Sparse Convolutional Networks	2018	Benjamin Graham Martin Engelcke Laurens van der Maaten	1
+ PDF Chat	PointConv: Deep Convolutional Networks on 3D Point Clouds	2019	Wenxuan Wu Zhongang Qi Fuxin Li	1
+ PDF Chat	SkipNet: Learning Dynamic Routing in Convolutional Networks	2018	Xin Wang Fisher Yu Zi-Yi Dou Trevor Darrell Joseph E. Gonzalez	1
+ PDF Chat	Relation-Shape Convolutional Neural Network for Point Cloud Analysis	2019	Yongcheng Liu Bin Fan Shiming Xiang Chunhong Pan	1
+ PDF Chat	Adversarial Examples in the Physical World	2018	Alexey Kurakin Ian Goodfellow Samy Bengio	1
+ PDF Chat	Towards Evaluating the Robustness of Neural Networks	2017	Nicholas Carlini David Wagner	1
+ PDF Chat	Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud Classifiers	2019	Daniel Liu Ronald Yu Hao Su	1
+ PDF Chat	Dynamic Graph CNN for Learning on Point Clouds	2019	Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma Michael M. Bronstein Justin Solomon	1
+ PDF Chat	PointCloud Saliency Maps	2019	Tianhang Zheng Changyou Chen Junsong Yuan Bo Li Kui Ren	1
+ PDF Chat	KPConv: Flexible and Deformable Convolution for Point Clouds	2019	Hugues Thomas Charles R. Qi Jean‐Emmanuel Deschaud Beatriz Marcotegui François Goulette Leonidas Guibas	1
+ PDF Chat	SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences	2019	Jens Behley Martin Garbade Andres Milioto Jan Quenzel Sven Behnke Cyrill Stachniss Jürgen Gall	1
+ PDF Chat	From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network	2020	Shaoshuai Shi Zhe Wang Jianping Shi Xiaogang Wang Hongsheng Li	1
+ PDF Chat	Physically Realizable Adversarial Examples for LiDAR Object Detection	2020	James Tu Mengye Ren Sivabalan Manivasagam Ming Liang Bin Yang Richard Du Frank Cheng Raquel Urtasun	1
+ PDF Chat	PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation	2020	Li Jiang Hengshuang Zhao Shaoshuai Shi Shu Liu Chi‐Wing Fu Jiaya Jia	1
+ PDF Chat	PointRend: Image Segmentation As Rendering	2020	Alexander Kirillov Yuxin Wu Kaiming He Ross Girshick	1
+ PDF Chat	Resolution Adaptive Networks for Efficient Inference	2020	Le Yang Yizeng Han Xi Chen Shiji Song Jifeng Dai Gao Huang	1
+ PDF Chat	Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference	2020	Thomas Verelst Tinne Tuytelaars	1
+ PDF Chat	End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection	2020	Rui Qian Divyansh Garg Yan Wang Yurong You Serge Belongie Bharath Hariharan Mark Campbell Kilian Q. Weinberger Wei‐Lun Chao	1
+ PDF Chat	Channel Selection Using Gumbel Softmax	2020	Charles Herrmann Richard Strong Bowen Ramin Zabih	1
+ PDF Chat	One Pixel Attack for Fooling Deep Neural Networks	2019	Jiawei Su Danilo Vargas Kouichi Sakurai	1
+ PDF Chat	Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation	2020	Zhenda Xie Zheng Zhang Xizhou Zhu Gao Huang Stephen Lin	1
+ PDF Chat	Adversarial Shape Perturbations on 3D Point Clouds	2020	Daniel Liu Ronald Yu Hao Su	1
+ PDF Chat	Vector Neurons: A General Framework for SO(3)-Equivariant Networks	2021	Congyue Deng Or Litany Yueqi Duan Adrien Poulenard Andrea Tagliasacchi Leonidas Guibas	1
+ PDF Chat	Differentiable Patch Selection for Image Recognition	2021	Jean-Baptiste Cordonnier Aravindh Mahendran Alexey Dosovitskiy Dirk Weissenborn Jakob Uszkoreit Thomas Unterthiner	1
+ PDF Chat	Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation	2021	Xinge Zhu Hui Zhou Tai Wang Fangzhou Hong Yuexin Ma Wei Li Hongsheng Li Dahua Lin	1
+ PDF Chat	From Multi-View to Hollow-3D: Hallucinated Hollow-3D R-CNN for 3D Object Detection	2021	Jiajun Deng Wengang Zhou Yanyong Zhang Houqiang Li	1
+ PDF Chat	Dynamic Neural Networks: A Survey	2021	Yizeng Han Gao Huang Shiji Song Le Yang Honghui Wang Yulin Wang	1
+ PDF Chat	A Simple and Strong Baseline for Universal Targeted Attacks on Siamese Visual Tracking	2021	Zhenbang Li Yaya Shi Jin Gao Shaoru Wang Bing Li Pengpeng Liang Weiming Hu	1
+	Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity	2021	William Fedus Barret Zoph Noam Shazeer	1
+	Towards Deep Learning Models Resistant to Adversarial Attacks	2017	Aleksander Mądry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu	1
+ PDF Chat	NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation Models	2022	Simin Chen Zihe Song Mirazul Haque Cong Liu Wei Yang	1
+	Attention Is All You Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	1