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 Yue Zhao

Yue Zhao

Infrared Small Target Detection Using Multi-patch Attention Network


Aug 13, 2021
Fang Chen, Chenqiang Gao, Fangcen Liu, Yue Zhao, Yuxi Zhou, Deyu Meng, Wangmeng Zuo

Figure 1 for Infrared Small Target Detection Using Multi-patch Attention Network
Figure 2 for Infrared Small Target Detection Using Multi-patch Attention Network
Figure 3 for Infrared Small Target Detection Using Multi-patch Attention Network
Figure 4 for Infrared Small Target Detection Using Multi-patch Attention Network
* 11 pages, 7 figures 
  Access Paper or Ask Questions

Intrinsically Motivated Self-supervised Learning in Reinforcement Learning


Jun 26, 2021
Yue Zhao, Chenzhuang Du, Hang Zhao, Tiejun Li

Figure 1 for Intrinsically Motivated Self-supervised Learning in Reinforcement Learning
Figure 2 for Intrinsically Motivated Self-supervised Learning in Reinforcement Learning
Figure 3 for Intrinsically Motivated Self-supervised Learning in Reinforcement Learning
Figure 4 for Intrinsically Motivated Self-supervised Learning in Reinforcement Learning

  Access Paper or Ask Questions

RIDnet: Radiologist-Inspired Deep Neural Network for Low-dose CT Denoising


May 15, 2021
Kecheng Chen, Jiayu Sun, Jiang Shen, Jixiang Luo, Xinyu Zhang, Xuelin Pan, Dongsheng Wu, Yue Zhao, Miguel Bento, Yazhou Ren, Xiaorong Pu

Figure 1 for RIDnet: Radiologist-Inspired Deep Neural Network for Low-dose CT Denoising
Figure 2 for RIDnet: Radiologist-Inspired Deep Neural Network for Low-dose CT Denoising
Figure 3 for RIDnet: Radiologist-Inspired Deep Neural Network for Low-dose CT Denoising
Figure 4 for RIDnet: Radiologist-Inspired Deep Neural Network for Low-dose CT Denoising
* under review 
  Access Paper or Ask Questions

Revisiting Skeleton-based Action Recognition


Apr 28, 2021
Haodong Duan, Yue Zhao, Kai Chen, Dian Shao, Dahua Lin, Bo Dai

Figure 1 for Revisiting Skeleton-based Action Recognition
Figure 2 for Revisiting Skeleton-based Action Recognition
Figure 3 for Revisiting Skeleton-based Action Recognition
Figure 4 for Revisiting Skeleton-based Action Recognition

  Access Paper or Ask Questions

A Large-scale Study on Unsupervised Outlier Model Selection: Do Internal Strategies Suffice?


Apr 12, 2021
Martin Q. Ma, Yue Zhao, Xiaorong Zhang, Leman Akoglu

Figure 1 for A Large-scale Study on Unsupervised Outlier Model Selection: Do Internal Strategies Suffice?
Figure 2 for A Large-scale Study on Unsupervised Outlier Model Selection: Do Internal Strategies Suffice?
Figure 3 for A Large-scale Study on Unsupervised Outlier Model Selection: Do Internal Strategies Suffice?
Figure 4 for A Large-scale Study on Unsupervised Outlier Model Selection: Do Internal Strategies Suffice?

  Access Paper or Ask Questions

A Large-scale Study on Unsupervised Outlier Model Selection: Evaluating the Internal Model Evaluation Strategies


Apr 03, 2021
Martin Q. Ma, Yue Zhao, Xiaorong Zhang, Leman Akoglu

Figure 1 for A Large-scale Study on Unsupervised Outlier Model Selection: Evaluating the Internal Model Evaluation Strategies
Figure 2 for A Large-scale Study on Unsupervised Outlier Model Selection: Evaluating the Internal Model Evaluation Strategies
Figure 3 for A Large-scale Study on Unsupervised Outlier Model Selection: Evaluating the Internal Model Evaluation Strategies
Figure 4 for A Large-scale Study on Unsupervised Outlier Model Selection: Evaluating the Internal Model Evaluation Strategies

  Access Paper or Ask Questions

PointBA: Towards Backdoor Attacks in 3D Point Cloud


Mar 30, 2021
Xinke Li, Zhiru Chen, Yue Zhao, Zekun Tong, Yabang Zhao, Andrew Lim, Joey Tianyi Zhou

Figure 1 for PointBA: Towards Backdoor Attacks in 3D Point Cloud
Figure 2 for PointBA: Towards Backdoor Attacks in 3D Point Cloud
Figure 3 for PointBA: Towards Backdoor Attacks in 3D Point Cloud
Figure 4 for PointBA: Towards Backdoor Attacks in 3D Point Cloud

  Access Paper or Ask Questions

HufuNet: Embedding the Left Piece as Watermark and Keeping the Right Piece for Ownership Verification in Deep Neural Networks


Mar 25, 2021
Peizhuo Lv, Pan Li, Shengzhi Zhang, Kai Chen, Ruigang Liang, Yue Zhao, Yingjiu Li

Figure 1 for HufuNet: Embedding the Left Piece as Watermark and Keeping the Right Piece for Ownership Verification in Deep Neural Networks
Figure 2 for HufuNet: Embedding the Left Piece as Watermark and Keeping the Right Piece for Ownership Verification in Deep Neural Networks
Figure 3 for HufuNet: Embedding the Left Piece as Watermark and Keeping the Right Piece for Ownership Verification in Deep Neural Networks
Figure 4 for HufuNet: Embedding the Left Piece as Watermark and Keeping the Right Piece for Ownership Verification in Deep Neural Networks

  Access Paper or Ask Questions

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics


Feb 18, 2021
Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao, Yusuf Roohani, Jure Leskovec, Connor W. Coley, Cao Xiao, Jimeng Sun, Marinka Zitnik

Figure 1 for Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics
Figure 2 for Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics
Figure 3 for Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics
Figure 4 for Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics

  Access Paper or Ask Questions

PyHealth: A Python Library for Health Predictive Models


Jan 11, 2021
Yue Zhao, Zhi Qiao, Cao Xiao, Lucas Glass, Jimeng Sun

Figure 1 for PyHealth: A Python Library for Health Predictive Models
Figure 2 for PyHealth: A Python Library for Health Predictive Models

  Access Paper or Ask Questions

TSGCNet: Discriminative Geometric Feature Learning with Two-Stream GraphConvolutional Network for 3D Dental Model Segmentation


Dec 26, 2020
Lingming Zhang, Yue Zhao, Deyu Meng, Zhiming Cui, Chenqiang Gao, Xinbo Gao, Chunfeng Lian, Dinggang Shen

Figure 1 for TSGCNet: Discriminative Geometric Feature Learning with Two-Stream GraphConvolutional Network for 3D Dental Model Segmentation
Figure 2 for TSGCNet: Discriminative Geometric Feature Learning with Two-Stream GraphConvolutional Network for 3D Dental Model Segmentation
Figure 3 for TSGCNet: Discriminative Geometric Feature Learning with Two-Stream GraphConvolutional Network for 3D Dental Model Segmentation
Figure 4 for TSGCNet: Discriminative Geometric Feature Learning with Two-Stream GraphConvolutional Network for 3D Dental Model Segmentation
* 10 pages, 7 figures 
  Access Paper or Ask Questions

Automating Outlier Detection via Meta-Learning


Sep 22, 2020
Yue Zhao, Ryan A. Rossi, Leman Akoglu

Figure 1 for Automating Outlier Detection via Meta-Learning
Figure 2 for Automating Outlier Detection via Meta-Learning
Figure 3 for Automating Outlier Detection via Meta-Learning
Figure 4 for Automating Outlier Detection via Meta-Learning
* 17 pages 
  Access Paper or Ask Questions

SYNC: A Copula based Framework for Generating Synthetic Data from Aggregated Sources


Sep 20, 2020
Zheng Li, Yue Zhao, Jialin Fu

Figure 1 for SYNC: A Copula based Framework for Generating Synthetic Data from Aggregated Sources
Figure 2 for SYNC: A Copula based Framework for Generating Synthetic Data from Aggregated Sources
Figure 3 for SYNC: A Copula based Framework for Generating Synthetic Data from Aggregated Sources
Figure 4 for SYNC: A Copula based Framework for Generating Synthetic Data from Aggregated Sources
* Proceedings of the 2020 IEEE International Conference on Data Mining Workshops (ICDMW) 
  Access Paper or Ask Questions

COPOD: Copula-Based Outlier Detection


Sep 20, 2020
Zheng Li, Yue Zhao, Nicola Botta, Cezar Ionescu, Xiyang Hu

Figure 1 for COPOD: Copula-Based Outlier Detection
Figure 2 for COPOD: Copula-Based Outlier Detection
Figure 3 for COPOD: Copula-Based Outlier Detection
Figure 4 for COPOD: Copula-Based Outlier Detection
* Proceedings of the 2020 International Conference on Data Mining (ICDM) 
  Access Paper or Ask Questions

TODS: An Automated Time Series Outlier Detection System


Sep 18, 2020
Kwei-Harng Lai, Daochen Zha, Guanchu Wang, Junjie Xu, Yue Zhao, Devesh Kumar, Yile Chen, Purav Zumkhawaka, Minyang Wan, Diego Martinez, Xia Hu

Figure 1 for TODS: An Automated Time Series Outlier Detection System
Figure 2 for TODS: An Automated Time Series Outlier Detection System
Figure 3 for TODS: An Automated Time Series Outlier Detection System
* Under Review 
  Access Paper or Ask Questions

Actor-Action Video Classification CSC 249/449 Spring 2020 Challenge Report


Aug 18, 2020
Jing Shi, Zhiheng Li, Haitian Zheng, Yihang Xu, Tianyou Xiao, Weitao Tan, Xiaoning Guo, Sizhe Li, Bin Yang, Zhexin Xu, Ruitao Lin, Zhongkai Shangguan, Yue Zhao, Jingwen Wang, Rohan Sharma, Surya Iyer, Ajinkya Deshmukh, Raunak Mahalik, Srishti Singh, Jayant G Rohra, Yipeng Zhang, Tongyu Yang, Xuan Wen, Ethan Fahnestock, Bryce Ikeda, Ian Lawson, Alan Finkelstein, Kehao Guo, Richard Magnotti, Andrew Sexton, Jeet Ketan Thaker, Yiyang Su, Chenliang Xu

Figure 1 for Actor-Action Video Classification CSC 249/449 Spring 2020 Challenge Report
Figure 2 for Actor-Action Video Classification CSC 249/449 Spring 2020 Challenge Report
Figure 3 for Actor-Action Video Classification CSC 249/449 Spring 2020 Challenge Report
Figure 4 for Actor-Action Video Classification CSC 249/449 Spring 2020 Challenge Report

  Access Paper or Ask Questions

Intra- and Inter-Action Understanding via Temporal Action Parsing


May 20, 2020
Dian Shao, Yue Zhao, Bo Dai, Dahua Lin

Figure 1 for Intra- and Inter-Action Understanding via Temporal Action Parsing
Figure 2 for Intra- and Inter-Action Understanding via Temporal Action Parsing
Figure 3 for Intra- and Inter-Action Understanding via Temporal Action Parsing
Figure 4 for Intra- and Inter-Action Understanding via Temporal Action Parsing
* CVPR 2020 Poster; Project page: https://sdolivia.github.io/TAPOS/ 
  Access Paper or Ask Questions

FineGym: A Hierarchical Video Dataset for Fine-grained Action Understanding


Apr 14, 2020
Dian Shao, Yue Zhao, Bo Dai, Dahua Lin

Figure 1 for FineGym: A Hierarchical Video Dataset for Fine-grained Action Understanding
Figure 2 for FineGym: A Hierarchical Video Dataset for Fine-grained Action Understanding
Figure 3 for FineGym: A Hierarchical Video Dataset for Fine-grained Action Understanding
Figure 4 for FineGym: A Hierarchical Video Dataset for Fine-grained Action Understanding
* CVPR 2020 Oral (3 strong accepts); Project page: https://sdolivia.github.io/FineGym/ 
  Access Paper or Ask Questions

Omni-sourced Webly-supervised Learning for Video Recognition


Mar 29, 2020
Haodong Duan, Yue Zhao, Yuanjun Xiong, Wentao Liu, Dahua Lin

Figure 1 for Omni-sourced Webly-supervised Learning for Video Recognition
Figure 2 for Omni-sourced Webly-supervised Learning for Video Recognition
Figure 3 for Omni-sourced Webly-supervised Learning for Video Recognition
Figure 4 for Omni-sourced Webly-supervised Learning for Video Recognition

  Access Paper or Ask Questions

A random-batch Monte Carlo method for many-body systems with singular kernels


Mar 14, 2020
Lei Li, Zhenli Xu, Yue Zhao

Figure 1 for A random-batch Monte Carlo method for many-body systems with singular kernels
Figure 2 for A random-batch Monte Carlo method for many-body systems with singular kernels
Figure 3 for A random-batch Monte Carlo method for many-body systems with singular kernels
Figure 4 for A random-batch Monte Carlo method for many-body systems with singular kernels
* 23 pages, 5 figures; To be published at SIAM J. Sci. Comput 
  Access Paper or Ask Questions

SUOD: A Scalable Unsupervised Outlier Detection Framework


Mar 11, 2020
Yue Zhao, Xiyang Hu, Cheng Cheng, Cong Wang, Cao Xiao, Yunlong Wang, Jimeng Sun, Leman Akoglu

Figure 1 for SUOD: A Scalable Unsupervised Outlier Detection Framework
Figure 2 for SUOD: A Scalable Unsupervised Outlier Detection Framework
Figure 3 for SUOD: A Scalable Unsupervised Outlier Detection Framework
Figure 4 for SUOD: A Scalable Unsupervised Outlier Detection Framework
* Submitted to KDD '20 Applied Data Science Track. arXiv admin note: substantial text overlap with arXiv:2002.03222 
  Access Paper or Ask Questions

On Isometry Robustness of Deep 3D Point Cloud Models under Adversarial Attacks


Mar 10, 2020
Yue Zhao, Yuwei Wu, Caihua Chen, Andrew Lim

Figure 1 for On Isometry Robustness of Deep 3D Point Cloud Models under Adversarial Attacks
Figure 2 for On Isometry Robustness of Deep 3D Point Cloud Models under Adversarial Attacks
Figure 3 for On Isometry Robustness of Deep 3D Point Cloud Models under Adversarial Attacks
Figure 4 for On Isometry Robustness of Deep 3D Point Cloud Models under Adversarial Attacks
* This paper was accepted for presentation at CVPR2020 
  Access Paper or Ask Questions

SUOD: Toward Scalable Unsupervised Outlier Detection


Feb 08, 2020
Yue Zhao, Xueying Ding, Jianing Yang, Haoping Bai

Figure 1 for SUOD: Toward Scalable Unsupervised Outlier Detection
Figure 2 for SUOD: Toward Scalable Unsupervised Outlier Detection
Figure 3 for SUOD: Toward Scalable Unsupervised Outlier Detection
Figure 4 for SUOD: Toward Scalable Unsupervised Outlier Detection
* In AAAI-20 Workshop on Artificial Intelligence for Cyber Security (AICS) 
  Access Paper or Ask Questions

Extracting clinical concepts from user queries


Dec 23, 2019
Yue Zhao, John Handley

Figure 1 for Extracting clinical concepts from user queries
Figure 2 for Extracting clinical concepts from user queries
Figure 3 for Extracting clinical concepts from user queries
Figure 4 for Extracting clinical concepts from user queries
* 8 pages, 4 figures. Added references. Corrected wording and typos, results unchanged 
  Access Paper or Ask Questions

XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning


Dec 01, 2019
Yue Zhao, Maciej K. Hryniewicki

Figure 1 for XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning
Figure 2 for XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning
Figure 3 for XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning
Figure 4 for XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning
* Proceedings of the 2018 International Joint Conference on Neural Networks (IJCNN) 
  Access Paper or Ask Questions

DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles


Nov 23, 2019
Yue Zhao, Maciej K. Hryniewicki

Figure 1 for DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles
Figure 2 for DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles
Figure 3 for DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles
Figure 4 for DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles
* ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Outlier Detection De-constructed Workshop, 2018 
  Access Paper or Ask Questions

RNN-Test: Adversarial Testing Framework for Recurrent Neural Network Systems


Nov 11, 2019
Jianmin Guo, Yue Zhao, Xueying Han, Yu Jiang, Jiaguang Sun

Figure 1 for RNN-Test: Adversarial Testing Framework for Recurrent Neural Network Systems
Figure 2 for RNN-Test: Adversarial Testing Framework for Recurrent Neural Network Systems
Figure 3 for RNN-Test: Adversarial Testing Framework for Recurrent Neural Network Systems
Figure 4 for RNN-Test: Adversarial Testing Framework for Recurrent Neural Network Systems

  Access Paper or Ask Questions