Kun Zhang

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Max Planck Society ∙ Carnegie Mellon University ∙ USTC ∙ NetEase, Inc

Senior Research Scientist at Max Planck Institute for Intelligent Systems

Multi-Channel Auto-Encoders and a Novel Dataset for Learning Domain Invariant Representations of Histopathology Images

Domain shift is a problem commonly encountered when developing automated...
07/15/2021 ∙ by Andrew Moyes, et al. ∙ 8 ∙ share

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AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning

Most approaches in reinforcement learning (RL) are data-hungry and speci...
07/06/2021 ∙ by Biwei Huang, et al. ∙ 8 ∙ share

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Region-Aware Network: Model Human's Top-Down Visual Perception Mechanism for Crowd Counting

Background noise and scale variation are common problems that have been ...
06/23/2021 ∙ by Yuehai Chen, et al. ∙ 0 ∙ share

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Graph Domain Adaptation: A Generative View

Recent years have witnessed tremendous interest in deep learning on grap...
06/14/2021 ∙ by Ruichu Cai, et al. ∙ 0 ∙ share

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Adversarial Robustness through the Lens of Causality

The adversarial vulnerability of deep neural networks has attracted sign...
06/11/2021 ∙ by Yonggang Zhang, et al. ∙ 12 ∙ share

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DGA-Net Dynamic Gaussian Attention Network for Sentence Semantic Matching

Sentence semantic matching requires an agent to determine the semantic r...
06/09/2021 ∙ by Kun Zhang, et al. ∙ 0 ∙ share

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Conditional Contrastive Learning: Removing Undesirable Information in Self-Supervised Representations

Self-supervised learning is a form of unsupervised learning that leverag...
06/05/2021 ∙ by Yao-Hung Hubert Tsai, et al. ∙ 44 ∙ share

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Graph-based Exercise- and Knowledge-Aware Learning Network for Student Performance Prediction

Predicting student performance is a fundamental task in Intelligent Tuto...
06/01/2021 ∙ by Mengfan Liu, et al. ∙ 0 ∙ share

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Privileged Graph Distillation for Cold Start Recommendation

The cold start problem in recommender systems is a long-standing challen...
05/31/2021 ∙ by Shuai Wang, et al. ∙ 0 ∙ share

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Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate Prediction

Click-through rate (CTR) prediction is one of the most central tasks in ...
05/19/2021 ∙ by Wentao Ouyang, et al. ∙ 0 ∙ share

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Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation

As users often express their preferences with binary behavior data (impl...
05/16/2021 ∙ by Lei Chen, et al. ∙ 0 ∙ share

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A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation

Influenced by the stunning success of deep learning in computer vision a...
04/27/2021 ∙ by Le Wu, et al. ∙ 0 ∙ share

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FRITL: A Hybrid Method for Causal Discovery in the Presence of Latent Confounders

We consider the problem of estimating a particular type of linear non-Ga...
03/26/2021 ∙ by Wei Chen, et al. ∙ 0 ∙ share

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RIS-Aided Wireless Communications: Prototyping, Adaptive Beamforming, and Indoor/Outdoor Field Trials

The prospects of using a Reconfigurable Intelligent Surface (RIS) to aid...
02/28/2021 ∙ by Xilong Pei, et al. ∙ 0 ∙ share

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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. ∙ 14 ∙ share

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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Twin Auxiliary Classifiers GAN

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

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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

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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

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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

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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

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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

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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

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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

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Kun Zhang

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