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 Yu Zhao

Yu Zhao

Stock Movement Prediction Based on Bi-typed and Hybrid-relational Market Knowledge Graph via Dual Attention Networks


Jan 11, 2022
Yu Zhao, Huaming Du, Ying Liu, Shaopeng Wei, Xingyan Chen, Huali Feng, Qinghong Shuai, Qing Li, Fuzhen Zhuang, Gang Kou

Figure 1 for Stock Movement Prediction Based on Bi-typed and Hybrid-relational Market Knowledge Graph via Dual Attention Networks
Figure 2 for Stock Movement Prediction Based on Bi-typed and Hybrid-relational Market Knowledge Graph via Dual Attention Networks
Figure 3 for Stock Movement Prediction Based on Bi-typed and Hybrid-relational Market Knowledge Graph via Dual Attention Networks
Figure 4 for Stock Movement Prediction Based on Bi-typed and Hybrid-relational Market Knowledge Graph via Dual Attention Networks
* 11 pages, 5 figures 
  Access Paper or Ask Questions

QEMind: Alibaba's Submission to the WMT21 Quality Estimation Shared Task


Dec 30, 2021
Jiayi Wang, Ke Wang, Boxing Chen, Yu Zhao, Weihua Luo, Yuqi Zhang

Figure 1 for QEMind: Alibaba's Submission to the WMT21 Quality Estimation Shared Task
Figure 2 for QEMind: Alibaba's Submission to the WMT21 Quality Estimation Shared Task
Figure 3 for QEMind: Alibaba's Submission to the WMT21 Quality Estimation Shared Task
Figure 4 for QEMind: Alibaba's Submission to the WMT21 Quality Estimation Shared Task
* Winner of WMT 2021 QE shared task 1 
  Access Paper or Ask Questions

MSHT: Multi-stage Hybrid Transformer for the ROSE Image Analysis of Pancreatic Cancer


Dec 27, 2021
Tianyi Zhang, Yunlu Feng, Yu Zhao, Guangda Fan, Aiming Yang, Shangqin Lyu, Peng Zhang, Fan Song, Chenbin Ma, Yangyang Sun, Youdan Feng, Guanglei Zhang

Figure 1 for MSHT: Multi-stage Hybrid Transformer for the ROSE Image Analysis of Pancreatic Cancer
Figure 2 for MSHT: Multi-stage Hybrid Transformer for the ROSE Image Analysis of Pancreatic Cancer
Figure 3 for MSHT: Multi-stage Hybrid Transformer for the ROSE Image Analysis of Pancreatic Cancer
Figure 4 for MSHT: Multi-stage Hybrid Transformer for the ROSE Image Analysis of Pancreatic Cancer
* 12 pages, 10 figures 
  Access Paper or Ask Questions

Dual Hierarchical Attention Networks for Bi-typed Heterogeneous Graph Learning


Dec 24, 2021
Yu Zhao, Shaopeng Wei, Huaming Du, Xingyan Chen, Qing Li, Fuzhen Zhuang, Ji Liu, Gang Kou

Figure 1 for Dual Hierarchical Attention Networks for Bi-typed Heterogeneous Graph Learning
Figure 2 for Dual Hierarchical Attention Networks for Bi-typed Heterogeneous Graph Learning
Figure 3 for Dual Hierarchical Attention Networks for Bi-typed Heterogeneous Graph Learning
Figure 4 for Dual Hierarchical Attention Networks for Bi-typed Heterogeneous Graph Learning
* 12 pages, 8 figures and 4 tables 
  Access Paper or Ask Questions

Improving Human-Object Interaction Detection via Phrase Learning and Label Composition


Dec 14, 2021
Zhimin Li, Cheng Zou, Yu Zhao, Boxun Li, Sheng Zhong

Figure 1 for Improving Human-Object Interaction Detection via Phrase Learning and Label Composition
Figure 2 for Improving Human-Object Interaction Detection via Phrase Learning and Label Composition
Figure 3 for Improving Human-Object Interaction Detection via Phrase Learning and Label Composition
Figure 4 for Improving Human-Object Interaction Detection via Phrase Learning and Label Composition
* Accepted to AAAI2022 
  Access Paper or Ask Questions

Fast Electromagnetic Validations of Large-Scale Digital Coding Metasurfaces Accelerated by Recurrence Rebuild and Retrieval Method


Dec 04, 2021
Yu Zhao, Shang Xiang, Long Li

Figure 1 for Fast Electromagnetic Validations of Large-Scale Digital Coding Metasurfaces Accelerated by Recurrence Rebuild and Retrieval Method
Figure 2 for Fast Electromagnetic Validations of Large-Scale Digital Coding Metasurfaces Accelerated by Recurrence Rebuild and Retrieval Method
Figure 3 for Fast Electromagnetic Validations of Large-Scale Digital Coding Metasurfaces Accelerated by Recurrence Rebuild and Retrieval Method
Figure 4 for Fast Electromagnetic Validations of Large-Scale Digital Coding Metasurfaces Accelerated by Recurrence Rebuild and Retrieval Method

  Access Paper or Ask Questions

Deep Keyphrase Completion


Oct 29, 2021
Yu Zhao, Jia Song, Huali Feng, Fuzhen Zhuang, Qing Li, Xiaojie Wang, Ji Liu

Figure 1 for Deep Keyphrase Completion
Figure 2 for Deep Keyphrase Completion
Figure 3 for Deep Keyphrase Completion
Figure 4 for Deep Keyphrase Completion

  Access Paper or Ask Questions

Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation


Sep 15, 2021
Ke Wang, Yangbin Shi, Jiayi Wang, Yuqi Zhang, Yu Zhao, Xiaolin Zheng

Figure 1 for Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation
Figure 2 for Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation
Figure 3 for Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation
Figure 4 for Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation
* Accepted by Findings of EMNLP 2021 
  Access Paper or Ask Questions

GlyphCRM: Bidirectional Encoder Representation for Chinese Character with its Glyph


Jul 01, 2021
Yunxin Li, Yu Zhao, Baotian Hu, Qingcai Chen, Yang Xiang, Xiaolong Wang, Yuxin Ding, Lin Ma

Figure 1 for GlyphCRM: Bidirectional Encoder Representation for Chinese Character with its Glyph
Figure 2 for GlyphCRM: Bidirectional Encoder Representation for Chinese Character with its Glyph
Figure 3 for GlyphCRM: Bidirectional Encoder Representation for Chinese Character with its Glyph
Figure 4 for GlyphCRM: Bidirectional Encoder Representation for Chinese Character with its Glyph
* 11 pages, 7 figures 
  Access Paper or Ask Questions

End-to-End Human Object Interaction Detection with HOI Transformer


Mar 08, 2021
Cheng Zou, Bohan Wang, Yue Hu, Junqi Liu, Qian Wu, Yu Zhao, Boxun Li, Chenguang Zhang, Chi Zhang, Yichen Wei, Jian Sun

Figure 1 for End-to-End Human Object Interaction Detection with HOI Transformer
Figure 2 for End-to-End Human Object Interaction Detection with HOI Transformer
Figure 3 for End-to-End Human Object Interaction Detection with HOI Transformer
Figure 4 for End-to-End Human Object Interaction Detection with HOI Transformer
* Accepted to CVPR2021 
  Access Paper or Ask Questions

Differentiable Channel Pruning Search


Oct 28, 2020
Yu Zhao, Chung-Kuei Lee

Figure 1 for Differentiable Channel Pruning Search
Figure 2 for Differentiable Channel Pruning Search
Figure 3 for Differentiable Channel Pruning Search
Figure 4 for Differentiable Channel Pruning Search

  Access Paper or Ask Questions

Computer Assisted Translation with Neural Quality Estimation and Automatic Post-Editing


Sep 28, 2020
Jiayi Wang, Ke Wang, Niyu Ge, Yangbing Shi, Yu Zhao, Kai Fan

Figure 1 for Computer Assisted Translation with Neural Quality Estimation and Automatic Post-Editing
Figure 2 for Computer Assisted Translation with Neural Quality Estimation and Automatic Post-Editing
Figure 3 for Computer Assisted Translation with Neural Quality Estimation and Automatic Post-Editing
Figure 4 for Computer Assisted Translation with Neural Quality Estimation and Automatic Post-Editing

  Access Paper or Ask Questions

Connecting Embeddings for Knowledge Graph Entity Typing


Jul 21, 2020
Yu Zhao, Anxiang Zhang, Ruobing Xie, Kang Liu, Xiaojie Wang

Figure 1 for Connecting Embeddings for Knowledge Graph Entity Typing
Figure 2 for Connecting Embeddings for Knowledge Graph Entity Typing
Figure 3 for Connecting Embeddings for Knowledge Graph Entity Typing
Figure 4 for Connecting Embeddings for Knowledge Graph Entity Typing
* Association for Computational Linguistics, 2020, 6419--6428 
  Access Paper or Ask Questions

Feedback Graph Attention Convolutional Network for Medical Image Enhancement


Jun 24, 2020
Xiaobin Hu, Yanyang Yan, Wenqi Ren, Hongwei Li, Yu Zhao, Amirhossein Bayat, Bjoern Menze

Figure 1 for Feedback Graph Attention Convolutional Network for Medical Image Enhancement
Figure 2 for Feedback Graph Attention Convolutional Network for Medical Image Enhancement
Figure 3 for Feedback Graph Attention Convolutional Network for Medical Image Enhancement
Figure 4 for Feedback Graph Attention Convolutional Network for Medical Image Enhancement
* Magnetic resonance imaging and image enhancement and distortions degrading MRI and graph similarity branch and feedback mechanism 
  Access Paper or Ask Questions

Graph-augmented Convolutional Networks on Drug-Drug Interactions Prediction


Dec 08, 2019
Yi Zhong, Xueyu Chen, Yu Zhao, Xiaoming Chen, Tingfang Gao, Zuquan Weng

Figure 1 for Graph-augmented Convolutional Networks on Drug-Drug Interactions Prediction
Figure 2 for Graph-augmented Convolutional Networks on Drug-Drug Interactions Prediction

  Access Paper or Ask Questions

Nonconvex Nonsmooth Low-Rank Minimization for Generalized Image Compressed Sensing via Group Sparse Representation


Nov 18, 2019
Yunyi Li, Li Liu, Yu Zhao, Xiefeng Cheng, Guan Gui

Figure 1 for Nonconvex Nonsmooth Low-Rank Minimization for Generalized Image Compressed Sensing via Group Sparse Representation
Figure 2 for Nonconvex Nonsmooth Low-Rank Minimization for Generalized Image Compressed Sensing via Group Sparse Representation
Figure 3 for Nonconvex Nonsmooth Low-Rank Minimization for Generalized Image Compressed Sensing via Group Sparse Representation
Figure 4 for Nonconvex Nonsmooth Low-Rank Minimization for Generalized Image Compressed Sensing via Group Sparse Representation
* This paper has been submited to the Journal of the Franklin Institute. arXiv admin note: substantial text overlap with arXiv:1903.09787 
  Access Paper or Ask Questions

SmartBullets: A Cloud-Assisted Bullet Screen Filter based on Deep Learning


May 15, 2019
Haoran Niu, Jiangnan Li, Yu Zhao

Figure 1 for SmartBullets: A Cloud-Assisted Bullet Screen Filter based on Deep Learning
Figure 2 for SmartBullets: A Cloud-Assisted Bullet Screen Filter based on Deep Learning
Figure 3 for SmartBullets: A Cloud-Assisted Bullet Screen Filter based on Deep Learning
Figure 4 for SmartBullets: A Cloud-Assisted Bullet Screen Filter based on Deep Learning

  Access Paper or Ask Questions

SCEF: A Support-Confidence-aware Embedding Framework for Knowledge Graph Refinement


Feb 18, 2019
Yu Zhao, Ji Liu

Figure 1 for SCEF: A Support-Confidence-aware Embedding Framework for Knowledge Graph Refinement
Figure 2 for SCEF: A Support-Confidence-aware Embedding Framework for Knowledge Graph Refinement
Figure 3 for SCEF: A Support-Confidence-aware Embedding Framework for Knowledge Graph Refinement
Figure 4 for SCEF: A Support-Confidence-aware Embedding Framework for Knowledge Graph Refinement
* arXiv admin note: text overlap with arXiv:1705.03202 by other authors 
  Access Paper or Ask Questions

Hierarchical multi-class segmentation of glioma images using networks with multi-level activation function


Nov 02, 2018
Xiaobin Hu, Hongwei Li, Yu Zhao, Chao Dong, Bjoern H. Menze, Marie Piraud

Figure 1 for Hierarchical multi-class segmentation of glioma images using networks with multi-level activation function
Figure 2 for Hierarchical multi-class segmentation of glioma images using networks with multi-level activation function
Figure 3 for Hierarchical multi-class segmentation of glioma images using networks with multi-level activation function
Figure 4 for Hierarchical multi-class segmentation of glioma images using networks with multi-level activation function
* 12pages first version 
  Access Paper or Ask Questions

Efficient Trajectory Optimization for Robot Motion Planning


Oct 09, 2018
Yu Zhao, Hsien-Chung Lin, Masayoshi Tomizuka

Figure 1 for Efficient Trajectory Optimization for Robot Motion Planning
Figure 2 for Efficient Trajectory Optimization for Robot Motion Planning
Figure 3 for Efficient Trajectory Optimization for Robot Motion Planning
Figure 4 for Efficient Trajectory Optimization for Robot Motion Planning
* submitted to ICARCV 2018. Video: https://youtu.be/EZmLXtO3C2E 
  Access Paper or Ask Questions

A novel active learning framework for classification: using weighted rank aggregation to achieve multiple query criteria


Sep 27, 2018
Yu Zhao, Zhenhui Shi, Jingyang Zhang, Dong Chen, Lixu Gu

Figure 1 for A novel active learning framework for classification: using weighted rank aggregation to achieve multiple query criteria
Figure 2 for A novel active learning framework for classification: using weighted rank aggregation to achieve multiple query criteria
Figure 3 for A novel active learning framework for classification: using weighted rank aggregation to achieve multiple query criteria
Figure 4 for A novel active learning framework for classification: using weighted rank aggregation to achieve multiple query criteria
* 34 pages, 21 figures, 11 tables, 
  Access Paper or Ask Questions

Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN)


Aug 06, 2018
Yu Zhao, Xiang Li, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu

Figure 1 for Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN)
Figure 2 for Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN)
Figure 3 for Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN)
Figure 4 for Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN)
* Yu Zhao and Xiang Li contribute equally to this work 
  Access Paper or Ask Questions

A Robust AUC Maximization Framework with Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification


Mar 18, 2018
Ke Ren, Haichuan Yang, Yu Zhao, Mingshan Xue, Hongyu Miao, Shuai Huang, Ji Liu

Figure 1 for A Robust AUC Maximization Framework with Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification
Figure 2 for A Robust AUC Maximization Framework with Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification
Figure 3 for A Robust AUC Maximization Framework with Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification
Figure 4 for A Robust AUC Maximization Framework with Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification

  Access Paper or Ask Questions

Fast and Scalable Distributed Deep Convolutional Autoencoder for fMRI Big Data Analytics


Mar 04, 2018
Milad Makkie, Heng Huang, Yu Zhao, Athanasios V. Vasilakos, Tianming Liu

Figure 1 for Fast and Scalable Distributed Deep Convolutional Autoencoder for fMRI Big Data Analytics
Figure 2 for Fast and Scalable Distributed Deep Convolutional Autoencoder for fMRI Big Data Analytics
Figure 3 for Fast and Scalable Distributed Deep Convolutional Autoencoder for fMRI Big Data Analytics
Figure 4 for Fast and Scalable Distributed Deep Convolutional Autoencoder for fMRI Big Data Analytics
* This work is submitted to SIGKDD 2018 
  Access Paper or Ask Questions

Real-Time Robust Finger Gaits Planning under Object Shape and Dynamics Uncertainties


Oct 27, 2017
Yongxiang Fan, Te Tang, Hsien-Chung Lin, Yu Zhao, Masayoshi Tomizuka

Figure 1 for Real-Time Robust Finger Gaits Planning under Object Shape and Dynamics Uncertainties
Figure 2 for Real-Time Robust Finger Gaits Planning under Object Shape and Dynamics Uncertainties
Figure 3 for Real-Time Robust Finger Gaits Planning under Object Shape and Dynamics Uncertainties
Figure 4 for Real-Time Robust Finger Gaits Planning under Object Shape and Dynamics Uncertainties
* Accepted by IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2017 
  Access Paper or Ask Questions

Deep Residual Bidir-LSTM for Human Activity Recognition Using Wearable Sensors


Sep 07, 2017
Yu Zhao, Rennong Yang, Guillaume Chevalier, Maoguo Gong

Figure 1 for Deep Residual Bidir-LSTM for Human Activity Recognition Using Wearable Sensors
Figure 2 for Deep Residual Bidir-LSTM for Human Activity Recognition Using Wearable Sensors
Figure 3 for Deep Residual Bidir-LSTM for Human Activity Recognition Using Wearable Sensors
Figure 4 for Deep Residual Bidir-LSTM for Human Activity Recognition Using Wearable Sensors

  Access Paper or Ask Questions

Applying Deep Bidirectional LSTM and Mixture Density Network for Basketball Trajectory Prediction


Aug 19, 2017
Yu Zhao, Rennong Yang, Guillaume Chevalier, Rajiv Shah, Rob Romijnders

Figure 1 for Applying Deep Bidirectional LSTM and Mixture Density Network for Basketball Trajectory Prediction
Figure 2 for Applying Deep Bidirectional LSTM and Mixture Density Network for Basketball Trajectory Prediction
Figure 3 for Applying Deep Bidirectional LSTM and Mixture Density Network for Basketball Trajectory Prediction
Figure 4 for Applying Deep Bidirectional LSTM and Mixture Density Network for Basketball Trajectory Prediction

  Access Paper or Ask Questions

Neural Headline Generation with Sentence-wise Optimization


Oct 09, 2016
Ayana, Shiqi Shen, Yu Zhao, Zhiyuan Liu, Maosong Sun

Figure 1 for Neural Headline Generation with Sentence-wise Optimization
Figure 2 for Neural Headline Generation with Sentence-wise Optimization
Figure 3 for Neural Headline Generation with Sentence-wise Optimization
Figure 4 for Neural Headline Generation with Sentence-wise Optimization

  Access Paper or Ask Questions

Intrinsically Motivated Learning of Visual Motion Perception and Smooth Pursuit


Feb 25, 2014
Chong Zhang, Yu Zhao, Jochen Triesch, Bertram E. Shi

Figure 1 for Intrinsically Motivated Learning of Visual Motion Perception and Smooth Pursuit
Figure 2 for Intrinsically Motivated Learning of Visual Motion Perception and Smooth Pursuit
Figure 3 for Intrinsically Motivated Learning of Visual Motion Perception and Smooth Pursuit
Figure 4 for Intrinsically Motivated Learning of Visual Motion Perception and Smooth Pursuit
* 6 pages, 5 figures 
  Access Paper or Ask Questions