Kun Zhang

is this you? claim profile

∙ 0 followers
Max Planck Society ∙ Carnegie Mellon University ∙ USTC

Senior Research Scientist at Max Planck Institute for Intelligent Systems

Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction

Objective: Multi-modal functional magnetic resonance imaging (fMRI) can ...
01/20/2021 ∙ by Gang Qu, et al. ∙ 0 ∙ share

read it
Learning Disentangled Semantic Representation for Domain Adaptation

Domain adaptation is an important but challenging task. Most of the exis...
12/22/2020 ∙ by Ruichu Cai, et al. ∙ 0 ∙ share

read it
Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation

Reinforcement learning (RL) algorithms usually require a substantial amo...
12/16/2020 ∙ by Chaochao Lu, et al. ∙ 20 ∙ share

read it
R^2-Net: Relation of Relation Learning Network for Sentence Semantic Matching

Sentence semantic matching is one of the fundamental tasks in natural la...
12/16/2020 ∙ by Kun Zhang, et al. ∙ 0 ∙ share

read it
Learning Heatmap-Style Jigsaw Puzzles Provides Good Pretraining for 2D Human Pose Estimation

The target of 2D human pose estimation is to locate the keypoints of bod...
12/13/2020 ∙ by Kun Zhang, et al. ∙ 4 ∙ share

read it
How Do Fair Decisions Fare in Long-term Qualification?

Although many fairness criteria have been proposed for decision making, ...
10/21/2020 ∙ by Xueru Zhang, et al. ∙ 0 ∙ share

read it
Generalized Independent Noise Condition for Estimating Linear Non-Gaussian Latent Variable Graphs

Causal discovery aims to recover causal structures or models underlying ...
10/10/2020 ∙ by Feng Xie, et al. ∙ 4 ∙ share

read it
Attack on Multi-Node Attention for Object Detection

This paper focuses on high-transferable adversarial attacks on detection...
08/16/2020 ∙ by Sizhe Chen, et al. ∙ 74 ∙ share

read it
Adaptive Task Sampling for Meta-Learning

Meta-learning methods have been extensively studied and applied in compu...
07/17/2020 ∙ by Chenghao Liu, et al. ∙ 5 ∙ share

read it
On the Role of Sparsity and DAG Constraints for Learning Linear DAGs

Learning graphical structure based on Directed Acyclic Graphs (DAGs) is ...
06/17/2020 ∙ by Ignavier Ng, et al. ∙ 0 ∙ share

read it
Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach

In many recommender systems, users and items are associated with attribu...
05/25/2020 ∙ by Le Wu, et al. ∙ 0 ∙ share

read it
A Causal View on Robustness of Neural Networks

We present a causal view on the robustness of neural networks against in...
05/03/2020 ∙ by Cheng Zhang, et al. ∙ 22 ∙ share

read it
Learning from Positive and Unlabeled Data by Identifying the Annotation Process

In binary classification, Learning from Positive and Unlabeled data (LeP...
03/02/2020 ∙ by Naji Shajarisales, et al. ∙ 20 ∙ share

read it
Domain Adaptation As a Problem of Inference on Graphical Models

This paper is concerned with data-driven unsupervised domain adaptation,...
02/09/2020 ∙ by Kun Zhang, et al. ∙ 20 ∙ share

read it
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach

Graph Convolutional Networks (GCNs) are state-of-the-art graph based rep...
01/28/2020 ∙ by Lei Chen, et al. ∙ 8 ∙ share

read it
Tracing the Propagation Path: A Flow Perspective of Representation Learning on Graphs

Graph Convolutional Networks (GCNs) have gained significant developments...
12/12/2019 ∙ by Menghan Wang, et al. ∙ 0 ∙ share

read it
Transfer Learning-Based Outdoor Position Recovery with Telco Data

Telecommunication (Telco) outdoor position recovery aims to localize out...
12/10/2019 ∙ by Yige Zhang, et al. ∙ 11 ∙ share

read it
Deep Physiological State Space Model for Clinical Forecasting

Clinical forecasting based on electronic medical records (EMR) can uncov...
12/04/2019 ∙ by Yuan Xue, et al. ∙ 0 ∙ share

read it
Disentanglement Challenge: From Regularization to Reconstruction

The challenge of learning disentangled representation has recently attra...
11/30/2019 ∙ by Jie Qiao, et al. ∙ 0 ∙ share

read it
Modelling EHR timeseries by restricting feature interaction

Time series data are prevalent in electronic health records, mostly in t...
11/14/2019 ∙ by Kun Zhang, et al. ∙ 21 ∙ share

read it
Characterizing Distribution Equivalence for Cyclic and Acyclic Directed Graphs

The main way for defining equivalence among acyclic directed graphs is b...
10/28/2019 ∙ by AmirEmad Ghassami, et al. ∙ 0 ∙ share

read it
DNANet: De-Normalized Attention Based Multi-Resolution Network for Human Pose Estimation

Recently, multi-resolution networks (such as Hourglass, CPN, HRNet, etc....
09/11/2019 ∙ by Kun Zhang, et al. ∙ 0 ∙ share

read it
Adversarial Orthogonal Regression: Two non-Linear Regressions for Causal Inference

We propose two nonlinear regression methods, named Adversarial Orthogona...
09/10/2019 ∙ by M. Reza Heydari, et al. ∙ 0 ∙ share

read it
Likelihood-Free Overcomplete ICA and Applications in Causal Discovery

Causal discovery witnessed significant progress over the past decades. I...
09/04/2019 ∙ by Chenwei Ding, et al. ∙ 0 ∙ share

read it
Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables

We consider the problem of learning causal models from observational dat...
08/11/2019 ∙ by Saber Salehkaleybar, et al. ∙ 0 ∙ share

read it
Identification of Effective Connectivity Subregions

Standard fMRI connectivity analyses depend on aggregating the time serie...
08/08/2019 ∙ by Ruben Sanchez-Romero, et al. ∙ 0 ∙ share

read it
Domain Generalization via Multidomain Discriminant Analysis

Domain generalization (DG) aims to incorporate knowledge from multiple s...
07/25/2019 ∙ by Shoubo Hu, et al. ∙ 5 ∙ share

read it
Learning Depth from Monocular Videos Using Synthetic Data: A Temporally-Consistent Domain Adaptation Approach

Majority of state-of-the-art monocular depth estimation methods are supe...
07/16/2019 ∙ by Yipeng Mou, et al. ∙ 1 ∙ share

read it
Twin Auxiliary Classifiers GAN

Conditional generative models enjoy remarkable progress over the past fe...
07/05/2019 ∙ by Mingming Gong, et al. ∙ 2 ∙ share

read it
Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation

Discovery of causal relations from observational data is essential for m...
06/04/2019 ∙ by Ruibo Tu, et al. ∙ 1 ∙ share

read it
Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models

In many scientific fields, such as economics and neuroscience, we are of...
05/26/2019 ∙ by Biwei Huang, et al. ∙ 0 ∙ share

read it
Causal Discovery with Cascade Nonlinear Additive Noise Models

Identification of causal direction between a causal-effect pair from obs...
05/23/2019 ∙ by Ruichu Cai, et al. ∙ 2 ∙ share

read it
Causal Discovery with General Non-Linear Relationships Using Non-Linear ICA

We consider the problem of inferring causal relationships between two or...
04/19/2019 ∙ by Ricardo Pio Monti, et al. ∙ 0 ∙ share

read it
Generative-Discriminative Complementary Learning

Majority of state-of-the-art deep learning methods for vision applicatio...
04/02/2019 ∙ by Yanwu Xu, et al. ∙ 0 ∙ share

read it
Causal Discovery and Hidden Driving Force Estimation from Nonstationary/Heterogeneous Data

It is commonplace to encounter nonstationary or heterogeneous data. Such...
03/05/2019 ∙ by Biwei Huang, et al. ∙ 0 ∙ share

read it
On Learning Invariant Representation for Domain Adaptation

Due to the ability of deep neural nets to learn rich representations, re...
01/27/2019 ∙ by Han Zhao, et al. ∙ 0 ∙ share

read it
Diagnosis of Autism Spectrum Disorder by Causal Influence Strength Learned from Resting-State fMRI Data

Autism spectrum disorder (ASD) is one of the major developmental disorde...
01/27/2019 ∙ by Biwei Huang, et al. ∙ 0 ∙ share

read it
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Gliomas are the most common primary brain malignancies, with different d...
11/05/2018 ∙ by Spyridon Bakas, et al. ∙ 0 ∙ share

read it
Random Occlusion-recovery for Person Re-identification

As a basic task of multi-camera surveillance system, person re-identific...
09/26/2018 ∙ by Di Wu, et al. ∙ 0 ∙ share

read it
Geometry-Consistent Adversarial Networks for One-Sided Unsupervised Domain Mapping

Unsupervised domain mapping aims at learning a function to translate dom...
09/16/2018 ∙ by Huan Fu, et al. ∙ 2 ∙ share

read it
Causal discovery in the presence of missing data

Missing data are ubiquitous in many domains such as healthcare. Dependin...
07/11/2018 ∙ by Ruibo Tu, et al. ∙ 6 ∙ share

read it
User-Sensitive Recommendation Ensemble with Clustered Multi-Task Learning

This paper considers recommendation algorithm ensembles in a user-sensit...
04/28/2018 ∙ by Menghan Wang, et al. ∙ 0 ∙ share

read it
Causal Generative Domain Adaptation Networks

We propose a new generative model for domain adaptation, in which traini...
04/12/2018 ∙ by Mingming Gong, et al. ∙ 0 ∙ share

read it
Scalable and accurate deep learning for electronic health records

Predictive modeling with electronic health record (EHR) data is anticipa...
01/24/2018 ∙ by Alvin Rajkomar, et al. ∙ 0 ∙ share

read it
Collaborative Filtering with Social Exposure: A Modular Approach to Social Recommendation

This paper is concerned with how to make efficient use of social informa...
11/30/2017 ∙ by Menghan Wang, et al. ∙ 0 ∙ share

read it
Causality Refined Diagnostic Prediction

Applying machine learning in the health care domain has shown promising ...
11/29/2017 ∙ by Marcus Klasson, et al. ∙ 0 ∙ share

read it
Transfer Learning with Label Noise

Transfer learning aims to improve learning in the target domain with lim...
07/31/2017 ∙ by Xiyu Yu, et al. ∙ 0 ∙ share

read it
Causal Discovery in the Presence of Measurement Error: Identifiability Conditions

Measurement error in the observed values of the variables can greatly ch...
06/10/2017 ∙ by Kun Zhang, et al. ∙ 0 ∙ share

read it
Learning Causal Structures Using Regression Invariance

We study causal inference in a multi-environment setting, in which the f...
05/26/2017 ∙ by AmirEmad Ghassami, et al. ∙ 0 ∙ share

read it
A New Measure of Conditional Dependence

Measuring conditional dependencies among the variables of a network is o...
03/31/2017 ∙ by Jalal Etesami, et al. ∙ 0 ∙ share

read it

Kun Zhang

Featured Co-authors