Ya Zhang

is this you? claim profile

∙ 0 followers
Shanghai Jiao Tong University

Special Professor in Department of Electrical Engineering at Shanghai Jiao Tong University

Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation

We propose a novel method based on teacher-student learning framework fo...
12/17/2020 ∙ by Chenxin Xu, et al. ∙ 0 ∙ share

read it
Point-Level Temporal Action Localization: Bridging Fully-supervised Proposals to Weakly-supervised Losses

Point-Level temporal action localization (PTAL) aims to localize actions...
12/15/2020 ∙ by Chen Ju, et al. ∙ 0 ∙ share

read it
ESAD: End-to-end Deep Semi-supervised Anomaly Detection

This paper explores semi-supervised anomaly detection, a more practical ...
12/09/2020 ∙ by Chaoqin Huang, et al. ∙ 0 ∙ share

read it
Deep Unsupervised Image Anomaly Detection: An Information Theoretic Framework

Surrogate task based methods have recently shown great promise for unsup...
12/09/2020 ∙ by Fei Ye, et al. ∙ 0 ∙ share

read it
Privileged Knowledge Distillation for Online Action Detection

Online Action Detection (OAD) in videos is proposed as a per-frame label...
11/18/2020 ∙ by Peisen Zhao, et al. ∙ 0 ∙ share

read it
Learning on Attribute-Missing Graphs

Graphs with complete node attributes have been widely explored recently....
11/03/2020 ∙ by Xu Chen, et al. ∙ 3 ∙ share

read it
Sampling and Recovery of Graph Signals based on Graph Neural Networks

We propose interpretable graph neural networks for sampling and recovery...
11/03/2020 ∙ by Siheng Chen, et al. ∙ 0 ∙ share

read it
Two-Stream Compare and Contrast Network for Vertebral Compression Fracture Diagnosis

Differentiating Vertebral Compression Fractures (VCFs) associated with t...
10/13/2020 ∙ by Shixiang Feng, et al. ∙ 0 ∙ share

read it
Universal Model for 3D Medical Image Analysis

Deep Learning-based methods recently have achieved remarkable progress i...
10/13/2020 ∙ by Xiaoman Zhang, et al. ∙ 0 ∙ share

read it
Graph Cross Networks with Vertex Infomax Pooling

We propose a novel graph cross network (GXN) to achieve comprehensive fe...
10/05/2020 ∙ by Maosen Li, et al. ∙ 0 ∙ share

read it
Urban Traffic Flow Forecast Based on FastGCRNN

Traffic forecasting is an important prerequisite for the application of ...
09/17/2020 ∙ by Ya Zhang, et al. ∙ 0 ∙ share

read it
Towards Equivalent Transformation of User Preferences in Cross Domain Recommendation

Cross domain recommendation (CDR) has been proposed to tackle the data s...
09/15/2020 ∙ by Xu Chen, et al. ∙ 0 ∙ share

read it
Decoupled Variational Embedding for Signed Directed Networks

Node representation learning for signed directed networks has received c...
08/28/2020 ∙ by Xu Chen, et al. ∙ 7 ∙ share

read it
Learning Robust Node Representation on Graphs

Graph neural networks (GNN), as a popular methodology for node represent...
08/26/2020 ∙ by Xu Chen, et al. ∙ 10 ∙ share

read it
Collaborative Adversarial Learning for RelationalLearning on Multiple Bipartite Graphs

Relational learning aims to make relation inference by exploiting the co...
07/16/2020 ∙ by Jingchao Su, et al. ∙ 0 ∙ share

read it
Dual Graph Embedding for Object-Tag LinkPrediction on the Knowledge Graph

Knowledge graphs (KGs) composed of users, objects, and tags are widely u...
07/16/2020 ∙ by Chenyang Li, et al. ∙ 0 ∙ share

read it
Universal-to-Specific Framework for Complex Action Recognition

Video-based action recognition has recently attracted much attention in ...
07/13/2020 ∙ by Peisen Zhao, et al. ∙ 0 ∙ share

read it
From Quantized DNNs to Quantizable DNNs

This paper proposes Quantizable DNNs, a special type of DNNs that can fl...
04/11/2020 ∙ by Kunyuan Du, et al. ∙ 0 ∙ share

read it
Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human Motion Prediction

We propose novel dynamic multiscale graph neural networks (DMGNN) to pre...
03/17/2020 ∙ by Maosen Li, et al. ∙ 0 ∙ share

read it
Collaborative Motion Prediction via Neural Motion Message Passing

Motion prediction is essential and challenging for autonomous vehicles a...
03/14/2020 ∙ by Yue Hu, et al. ∙ 7 ∙ share

read it
Constraining Temporal Relationship for Action Localization

Recently, temporal action localization (TAL), i.e., finding specific act...
02/18/2020 ∙ by Peisen Zhao, et al. ∙ 0 ∙ share

read it
Inverse-Transform AutoEncoder for Anomaly Detection

Reconstruction-based methods have recently shown great promise for anoma...
11/25/2019 ∙ by Chaoqing Huang, et al. ∙ 46 ∙ share

read it
Iteratively-Refined Interactive 3D Medical Image Segmentation with Multi-Agent Reinforcement Learning

Existing automatic 3D image segmentation methods usually fail to meet th...
11/23/2019 ∙ by Xuan Liao, et al. ∙ 46 ∙ share

read it
Cascading: Association Augmented Sequential Recommendation

Recently, recommendation according to sequential user behaviors has show...
10/17/2019 ∙ by Xu Chen, et al. ∙ 0 ∙ share

read it
Symbiotic Graph Neural Networks for 3D Skeleton-based Human Action Recognition and Motion Prediction

3D skeleton-based action recognition and motion prediction are two essen...
10/05/2019 ∙ by Maosen Li, et al. ∙ 0 ∙ share

read it
Data Augmentation Revisited: Rethinking the Distribution Gap between Clean and Augmented Data

Data augmentation has been widely applied as an effective methodology to...
09/19/2019 ∙ by Zhuoxun He, et al. ∙ 0 ∙ share

read it
Node Attribute Generation on Graphs

Graph structured data provide two-fold information: graph structures and...
07/23/2019 ∙ by Xu Chen, et al. ∙ 0 ∙ share

read it
Defending Adversarial Attacks by Correcting logits

Generating and eliminating adversarial examples has been an intriguing t...
06/26/2019 ∙ by Yifeng Li, et al. ∙ 2 ∙ share

read it
Handwritten Chinese Font Generation with Collaborative Stroke Refinement

Automatic character generation is an appealing solution for new typeface...
04/30/2019 ∙ by Chuan Wen, et al. ∙ 0 ∙ share

read it
Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition

Action recognition with skeleton data has recently attracted much attent...
04/26/2019 ∙ by Maosen Li, et al. ∙ 0 ∙ share

read it
Safeguarded Dynamic Label Regression for Generalized Noisy Supervision

Learning with noisy labels, which aims to reduce expensive labors on acc...
03/06/2019 ∙ by Jiangchao Yao, et al. ∙ 2 ∙ share

read it
Network Compression via Recursive Bayesian Pruning

Recently, compression and acceleration of deep neural networks are in cr...
12/02/2018 ∙ by Yuefu Zhou, et al. ∙ 0 ∙ share

read it
Domain-Invariant Adversarial Learning for Unsupervised Domain Adaption

Unsupervised domain adaption aims to learn a powerful classifier for the...
11/30/2018 ∙ by Yexun Zhang, et al. ∙ 0 ∙ share

read it
Phase Collaborative Network for Multi-Phase Medical Imaging Segmentation

Integrating multi-phase information is an effective way of boosting visu...
11/28/2018 ∙ by Huangjie Zheng, et al. ∙ 6 ∙ share

read it
Variational Collaborative Learning for User Probabilistic Representation

Collaborative filtering (CF) has been successfully employed by many mode...
09/22/2018 ∙ by Kenan Cui, et al. ∙ 0 ∙ share

read it
Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising

In online advertising, the Internet users may be exposed to a sequence o...
08/11/2018 ∙ by Kan Ren, et al. ∙ 0 ∙ share

read it
Understanding VAEs in Fisher-Shannon Plane

In information theory, Fisher information and Shannon information (entro...
07/10/2018 ∙ by Huangjie Zheng, et al. ∙ 0 ∙ share

read it
A Unified Framework for Generalizable Style Transfer: Style and Content Separation

Image style transfer has drawn broad attention in recent years. However,...
06/13/2018 ∙ by Yexun Zhang, et al. ∙ 2 ∙ share

read it
Webpage Saliency Prediction with Two-stage Generative Adversarial Networks

Web page saliency prediction is a challenge problem in image transformat...
05/29/2018 ∙ by Yu Li, et al. ∙ 0 ∙ share

read it
Masking: A New Perspective of Noisy Supervision

It is important to learn classifiers under noisy labels due to their ubi...
05/21/2018 ∙ by Bo Han, et al. ∙ 0 ∙ share

read it
An Element Sensitive Saliency Model with Position Prior Learning for Web Pages

Understanding human visual attention is important for multimedia applica...
04/27/2018 ∙ by Jie Chang, et al. ∙ 0 ∙ share

read it
Variational Composite Autoencoders

Learning in the latent variable model is challenging in the presence of ...
04/12/2018 ∙ by Jiangchao Yao, et al. ∙ 0 ∙ share

read it
Machine Learning-Assisted Least Loaded Routing to Improve Performance of Circuit-Switched Networks

The Least Loaded (LL) routing algorithm has been in recent decades the r...
04/03/2018 ∙ by Gangxiang Shen, et al. ∙ 0 ∙ share

read it
Multi-Scale Spatially-Asymmetric Recalibration for Image Classification

Convolution is spatially-symmetric, i.e., the visual features are indepe...
04/03/2018 ∙ by Yan Wang, et al. ∙ 0 ∙ share

read it
Degeneration in VAE: in the Light of Fisher Information Loss

Variational Autoencoder (VAE) is one of the most popular generative mode...
02/19/2018 ∙ by Huangjie Zheng, et al. ∙ 0 ∙ share

read it
Collaborative Learning for Weakly Supervised Object Detection

Weakly supervised object detection has recently received much attention,...
02/10/2018 ∙ by Jiajie Wang, et al. ∙ 0 ∙ share

read it
Separating Style and Content for Generalized Style Transfer

Neural style transfer has drawn broad attention in recent years. However...
11/17/2017 ∙ by Yexun Zhang, et al. ∙ 0 ∙ share

read it
Chinese Typeface Transformation with Hierarchical Adversarial Network

In this paper, we explore automated typeface generation through image st...
11/17/2017 ∙ by Jie Chang, et al. ∙ 0 ∙ share

read it
Deep Learning from Noisy Image Labels with Quality Embedding

There is an emerging trend to leverage noisy image datasets in many visu...
11/02/2017 ∙ by Jiangchao Yao, et al. ∙ 0 ∙ share

read it
Query-free Clothing Retrieval via Implicit Relevance Feedback

Image-based clothing retrieval is receiving increasing interest with the...
11/01/2017 ∙ by Zhuoxiang Chen, et al. ∙ 0 ∙ share

read it

Ya Zhang

Featured Co-authors