Search Results for author: Jian Kang

Found 33 papers, 11 papers with code

Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks

2 code implementations4 Apr 2024 Arjun Subramonian, Jian Kang, Yizhou Sun

Throughout our analysis, we connect our findings to previously-proposed hypotheses for the origins of degree bias, supporting and unifying some while drawing doubt to others.

Node Classification

On the Generalization Capability of Temporal Graph Learning Algorithms: Theoretical Insights and a Simpler Method

no code implementations26 Feb 2024 Weilin Cong, Jian Kang, Hanghang Tong, Mehrdad Mahdavi

Temporal Graph Learning (TGL) has become a prevalent technique across diverse real-world applications, especially in domains where data can be represented as a graph and evolves over time.

Graph Learning

AI-based soundscape analysis: Jointly identifying sound sources and predicting annoyance

1 code implementation15 Nov 2023 Yuanbo Hou, Qiaoqiao Ren, Huizhong Zhang, Andrew Mitchell, Francesco Aletta, Jian Kang, Dick Botteldooren

(4) Generalization tests show that the proposed model's ARP in the presence of model-unknown sound sources is consistent with expert expectations and can explain previous findings from the literature on sound-scape augmentation.

Deceptive Fairness Attacks on Graphs via Meta Learning

1 code implementation24 Oct 2023 Jian Kang, Yinglong Xia, Ross Maciejewski, Jiebo Luo, Hanghang Tong

We study deceptive fairness attacks on graphs to answer the following question: How can we achieve poisoning attacks on a graph learning model to exacerbate the bias deceptively?

Adversarial Robustness Fairness +3

Rewrite Caption Semantics: Bridging Semantic Gaps for Language-Supervised Semantic Segmentation

2 code implementations NeurIPS 2023 Yun Xing, Jian Kang, Aoran Xiao, Jiahao Nie, Ling Shao, Shijian Lu

Such semantic misalignment circulates in pre-training, leading to inferior zero-shot performance in dense predictions due to insufficient visual concepts captured in textual representations.

Segmentation Semantic Segmentation +1

Ensuring User-side Fairness in Dynamic Recommender Systems

no code implementations29 Aug 2023 Hyunsik Yoo, Zhichen Zeng, Jian Kang, Ruizhong Qiu, David Zhou, Zhining Liu, Fei Wang, Charlie Xu, Eunice Chan, Hanghang Tong

In the ever-evolving landscape of user-item interactions, continual adaptation to newly collected data is crucial for recommender systems to stay aligned with the latest user preferences.

Fairness Recommendation Systems +1

Soundscape attributes in Spanish: A comparison with the English version of the protocol proposed in Method A of the ISO/TS 12913–2

no code implementations Applied Acoustics 2023 Jerónimo Vida, José Antonio Almagro, Rafael García-Quesada, Francesco Aletta, Tin Oberman, Andrew Mitchell, Jian Kang

In soundscape studies there is a need to validate the ISO 12913 framework and questionnaire protocols in non-English speaking regions, which is being addressed via an international translation effort carried out within the Soundscape Attributes Translation Project (SATP).

Single Particle Analysis Translation

Sequential Best-Arm Identification with Application to Brain-Computer Interface

no code implementations17 May 2023 Xin Zhou, Botao Hao, Jian Kang, Tor Lattimore, Lexin Li

A brain-computer interface (BCI) is a technology that enables direct communication between the brain and an external device or computer system.


CVGG-Net: Ship Recognition for SAR Images Based on Complex-Valued Convolutional Neural Network

no code implementations13 May 2023 Dandan Zhao, Zhe Zhang, Dongdong Lu, Jian Kang, Xiaolan Qiu, Yirong Wu

Although convolutional neural networks have been successfully employed for SAR image target recognition, surpassing traditional algorithms, most existing research concentrates on the amplitude domain and neglects the essential phase information.

Bayesian Inference on Brain-Computer Interfaces via GLASS

1 code implementation14 Apr 2023 Bangyao Zhao, Jane E. Huggins, Jian Kang

Brain-computer interfaces (BCIs), particularly the P300 BCI, facilitate direct communication between the brain and computers.

Bayesian Inference EEG +2

Penalized Deep Partially Linear Cox Models with Application to CT Scans of Lung Cancer Patients

no code implementations9 Mar 2023 Yuming Sun, Jian Kang, Chinmay Haridas, Nicholas R. Mayne, Alexandra L. Potter, Chi-Fu Jeffrey Yang, David C. Christiani, Yi Li

The National Lung Screening Trial (NLST) employed computed tomography texture analysis, which provides objective measurements of texture patterns on CT scans, to quantify the mortality risks of lung cancer patients.

feature selection Survival Analysis +1

Do We Really Need Complicated Model Architectures For Temporal Networks?

no code implementations22 Feb 2023 Weilin Cong, Si Zhang, Jian Kang, Baichuan Yuan, Hao Wu, Xin Zhou, Hanghang Tong, Mehrdad Mahdavi

Recurrent neural network (RNN) and self-attention mechanism (SAM) are the de facto methods to extract spatial-temporal information for temporal graph learning.

Graph Learning Link Prediction

Translation and cross-cultural adaptation methodology for soundscape attributes – A study with independent translation groups from English to Greek

no code implementations Applied Acoustics 2022 Nikolaos M. Papadakis, Francesco Aletta, Jian Kang, Tin Oberman, Andrew Mitchell, Georgios E. Stavroulakis

The most important findings of this research are: the results of the bicultural translation group were closer to the PCA results of the English participants for every attribute, translation of bilingual groups may not be always sufficient, translation errors may be misinterpreted for cross-cultural differences without proper application of a translation methodology and the process of back translation can be effective, especially in cases where there are not corresponding words in the target language.

Attribute Audio Emotion Recognition +3

JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks

no code implementations12 Oct 2022 Jian Kang, Qinghai Zhou, Hanghang Tong

The proposed JuryGCN is capable of quantifying uncertainty deterministically without modifying the GCN architecture or introducing additional parameters.

Active Learning Graph Mining +2

Density Regression and Uncertainty Quantification with Bayesian Deep Noise Neural Networks

no code implementations12 Jun 2022 Daiwei Zhang, Tianci Liu, Jian Kang

Deep neural network (DNN) models have achieved state-of-the-art predictive accuracy in a wide range of supervised learning applications.

regression Uncertainty Quantification

Individualized Risk Assessment of Preoperative Opioid Use by Interpretable Neural Network Regression

1 code implementation7 May 2022 Yuming Sun, Jian Kang, Chad Brummett, Yi Li

Preoperative opioid use has been reported to be associated with higher preoperative opioid demand, worse postoperative outcomes, and increased postoperative healthcare utilization and expenditures.

Management regression

RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network

no code implementations28 Feb 2022 Jian Kang, Yan Zhu, Yinglong Xia, Jiebo Luo, Hanghang Tong

Graph Convolutional Network (GCN) plays pivotal roles in many real-world applications.

IMBENS: Ensemble Class-imbalanced Learning in Python

1 code implementation24 Nov 2021 Zhining Liu, Jian Kang, Hanghang Tong, Yi Chang

imbalanced-ensemble, abbreviated as imbens, is an open-source Python toolbox for leveraging the power of ensemble learning to address the class imbalance problem.

Ensemble Learning

Robust High-Dimensional Regression with Coefficient Thresholding and its Application to Imaging Data Analysis

no code implementations30 Sep 2021 Bingyuan Liu, Qi Zhang, Lingzhou Xue, Peter X. K. Song, Jian Kang

It is of importance to develop statistical techniques to analyze high-dimensional data in the presence of both complex dependence and possible outliers in real-world applications such as imaging data analyses.


InfoFair: Information-Theoretic Intersectional Fairness

no code implementations24 May 2021 Jian Kang, Tiankai Xie, Xintao Wu, Ross Maciejewski, Hanghang Tong

The vast majority of the existing works on group fairness, with a few exceptions, primarily focus on debiasing with respect to a single sensitive attribute, despite the fact that the co-existence of multiple sensitive attributes (e. g., gender, race, marital status, etc.)

Attribute BIG-bench Machine Learning +1

Image Response Regression via Deep Neural Networks

no code implementations17 Jun 2020 Daiwei Zhang, Lexin Li, Chandra Sripada, Jian Kang

Delineating the associations between images and a vector of covariates is of central interest in medical imaging studies.


Deep Learning for Image Search and Retrieval in Large Remote Sensing Archives

no code implementations3 Apr 2020 Gencer Sumbul, Jian Kang, Begüm Demir

This chapter presents recent advances in content based image search and retrieval (CBIR) systems in remote sensing (RS) for fast and accurate information discovery from massive data archives.

Deep Hashing Image Retrieval

Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration

no code implementations6 Mar 2020 Jian Kang, Danfeng Hong, Jialin Liu, Gerald Baier, Naoto Yokoya, Begüm Demir

Interferometric phase restoration has been investigated for decades and most of the state-of-the-art methods have achieved promising performances for InSAR phase restoration.

So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification

1 code implementation19 Dec 2019 Xiao Xiang Zhu, Jingliang Hu, Chunping Qiu, Yilei Shi, Jian Kang, Lichao Mou, Hossein Bagheri, Matthias Häberle, Yuansheng Hua, Rong Huang, Lloyd Hughes, Hao Li, Yao Sun, Guichen Zhang, Shiyao Han, Michael Schmitt, Yuanyuan Wang

This is especially true for an automated analysis of remote sensing images on a global scale, which enables us to address global challenges such as urbanization and climate change using state-of-the-art machine learning techniques.

BIG-bench Machine Learning Cultural Vocal Bursts Intensity Prediction +1

Learning Shared Cross-modality Representation Using Multispectral-LiDAR and Hyperspectral Data

no code implementations18 Dec 2019 Danfeng Hong, Jocelyn Chanussot, Naoto Yokoya, Jian Kang, Xiao Xiang Zhu

Due to the ever-growing diversity of the data source, multi-modality feature learning has attracted more and more attention.

Covariance-Insured Screening

no code implementations17 May 2018 Kevin He, Jian Kang, Hyokyoung Grace Hong, Ji Zhu, Yanming Li, Huazhen Lin, Han Xu, Yi Li

Modern bio-technologies have produced a vast amount of high-throughput data with the number of predictors far greater than the sample size.

Building Instance Classification Using Street View Images

no code implementations25 Feb 2018 Jian Kang, Marco Körner, Yuanyuan Wang, Hannes Taubenböck, Xiao Xiang Zhu

The proposed method is based on Convolutional Neural Networks (CNNs) which classify facade structures from street view images, such as Google StreetView, in addition to remote sensing images which usually only show roof structures.

Classification General Classification

Classification with Ultrahigh-Dimensional Features

no code implementations4 Nov 2016 Yanming Li, Hyokyoung Hong, Jian Kang, Kevin He, Ji Zhu, Yi Li

Although much progress has been made in classification with high-dimensional features \citep{Fan_Fan:2008, JGuo:2010, CaiSun:2014, PRXu:2014}, classification with ultrahigh-dimensional features, wherein the features much outnumber the sample size, defies most existing work.

Classification General Classification

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