Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox
Picture for Xinyu Yang

Xinyu Yang

FACM: Correct the Output of Deep Neural Network with Middle Layers Features against Adversarial Samples



Xiangyuan Yang , Jie Lin , Hanlin Zhang , Xinyu Yang , Peng Zhao

Figure 1 for FACM: Correct the Output of Deep Neural Network with Middle Layers Features against Adversarial Samples
Figure 2 for FACM: Correct the Output of Deep Neural Network with Middle Layers Features against Adversarial Samples
Figure 3 for FACM: Correct the Output of Deep Neural Network with Middle Layers Features against Adversarial Samples
Figure 4 for FACM: Correct the Output of Deep Neural Network with Middle Layers Features against Adversarial Samples

   Access Paper or Ask Questions

Mask-Guided Divergence Loss Improves the Generalization and Robustness of Deep Neural Network



Xiangyuan Yang , Jie Lin , Hanlin Zhang , Xinyu Yang , Peng Zhao

Figure 1 for Mask-Guided Divergence Loss Improves the Generalization and Robustness of Deep Neural Network
Figure 2 for Mask-Guided Divergence Loss Improves the Generalization and Robustness of Deep Neural Network
Figure 3 for Mask-Guided Divergence Loss Improves the Generalization and Robustness of Deep Neural Network
Figure 4 for Mask-Guided Divergence Loss Improves the Generalization and Robustness of Deep Neural Network

   Access Paper or Ask Questions

BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation



Zhijian Liu , Haotian Tang , Alexander Amini , Xinyu Yang , Huizi Mao , Daniela Rus , Song Han

Figure 1 for BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
Figure 2 for BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
Figure 3 for BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
Figure 4 for BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
* The first two authors contributed equally to this work. Project page: https://bevfusion.mit.edu 
   Access Paper or Ask Questions

Enhancing the Transferability of Adversarial Examples via a Few Queries



Xiangyuan Yang , Jie Lin , Hanlin Zhang , Xinyu Yang , Peng Zhao

Figure 1 for Enhancing the Transferability of Adversarial Examples via a Few Queries
Figure 2 for Enhancing the Transferability of Adversarial Examples via a Few Queries
Figure 3 for Enhancing the Transferability of Adversarial Examples via a Few Queries
Figure 4 for Enhancing the Transferability of Adversarial Examples via a Few Queries

   Access Paper or Ask Questions

Self-supervised learning unveils morphological clusters behind lung cancer types and prognosis



Adalberto Claudio Quiros , Nicolas Coudray , Anna Yeaton , Xinyu Yang , Luis Chiriboga , Afreen Karimkhan , Navneet Narula , Harvey Pass , Andre L. Moreira , John Le Quesne , Aristotelis Tsirigos , Ke Yuan

Figure 1 for Self-supervised learning unveils morphological clusters behind lung cancer types and prognosis
Figure 2 for Self-supervised learning unveils morphological clusters behind lung cancer types and prognosis
Figure 3 for Self-supervised learning unveils morphological clusters behind lung cancer types and prognosis
Figure 4 for Self-supervised learning unveils morphological clusters behind lung cancer types and prognosis

   Access Paper or Ask Questions

Dynamic Curriculum Learning for Great Ape Detection in the Wild



Xinyu Yang , Tilo Burghardt , Majid Mirmehdi

Figure 1 for Dynamic Curriculum Learning for Great Ape Detection in the Wild
Figure 2 for Dynamic Curriculum Learning for Great Ape Detection in the Wild
Figure 3 for Dynamic Curriculum Learning for Great Ape Detection in the Wild
Figure 4 for Dynamic Curriculum Learning for Great Ape Detection in the Wild

   Access Paper or Ask Questions

Mixed Strategies for Security Games with General Defending Requirements



Rufan Bai , Haoxing Lin , Xinyu Yang , Xiaowei Wu , Minming Li , Weijia Jia

Figure 1 for Mixed Strategies for Security Games with General Defending Requirements
Figure 2 for Mixed Strategies for Security Games with General Defending Requirements
Figure 3 for Mixed Strategies for Security Games with General Defending Requirements
Figure 4 for Mixed Strategies for Security Games with General Defending Requirements
* Accepted by IJCAI-2022 
   Access Paper or Ask Questions

ADFF: Attention Based Deep Feature Fusion Approach for Music Emotion Recognition



Zi Huang , Shulei Ji , Zhilan Hu , Chuangjian Cai , Jing Luo , Xinyu Yang

Figure 1 for ADFF: Attention Based Deep Feature Fusion Approach for Music Emotion Recognition
Figure 2 for ADFF: Attention Based Deep Feature Fusion Approach for Music Emotion Recognition
Figure 3 for ADFF: Attention Based Deep Feature Fusion Approach for Music Emotion Recognition
Figure 4 for ADFF: Attention Based Deep Feature Fusion Approach for Music Emotion Recognition
* It has been submitted in Interspeech2022 
   Access Paper or Ask Questions

ACE: Towards Application-Centric Edge-Cloud Collaborative Intelligence



Luhui Wang , Cong Zhao , Shusen Yang , Xinyu Yang , Julie McCann

Figure 1 for ACE: Towards Application-Centric Edge-Cloud Collaborative Intelligence
Figure 2 for ACE: Towards Application-Centric Edge-Cloud Collaborative Intelligence
Figure 3 for ACE: Towards Application-Centric Edge-Cloud Collaborative Intelligence
Figure 4 for ACE: Towards Application-Centric Edge-Cloud Collaborative Intelligence
* Accepted by Communications of the ACM (CACM), Contributed Article 
   Access Paper or Ask Questions

DTWSSE: Data Augmentation with a Siamese Encoder for Time Series



Xinyu Yang , Xinlan Zhang , Zhenguo Zhang , Yahui Zhao , Rongyi Cui

Figure 1 for DTWSSE: Data Augmentation with a Siamese Encoder for Time Series
Figure 2 for DTWSSE: Data Augmentation with a Siamese Encoder for Time Series
Figure 3 for DTWSSE: Data Augmentation with a Siamese Encoder for Time Series
Figure 4 for DTWSSE: Data Augmentation with a Siamese Encoder for Time Series
* Accepted as full research paper in APWEB-WAIM 2021 
   Access Paper or Ask Questions
1
2
3
>>