2 code implementations • 4 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.
no code implementations • 26 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.
1 code implementation • 15 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.
1 code implementation • 24 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?
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.
no code implementations • 29 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.
1 code implementation • 23 Aug 2023 • Yuanbo Hou, Siyang Song, Cheng Luo, Andrew Mitchell, Qiaoqiao Ren, Weicheng Xie, Jian Kang, Wenwu Wang, Dick Botteldooren
Sound events in daily life carry rich information about the objective world.
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).
1 code implementation • 7 Jun 2023 • Xiao Lin, Jian Kang, Weilin Cong, Hanghang Tong
Fairness in graph neural networks has been actively studied recently.
no code implementations • 17 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.
no code implementations • 13 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.
1 code implementation • 14 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.
no code implementations • 9 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.
no code implementations • 22 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.
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.
no code implementations • 12 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.
no code implementations • 12 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.
1 code implementation • 7 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.
no code implementations • 28 Feb 2022 • Jian Kang, Yan Zhu, Yinglong Xia, Jiebo Luo, Hanghang Tong
Graph Convolutional Network (GCN) plays pivotal roles in many real-world applications.
1 code implementation • 24 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.
no code implementations • 30 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.
1 code implementation • 1 Jul 2021 • Haibin Wu, Po-chun Hsu, Ji Gao, Shanshan Zhang, Shen Huang, Jian Kang, Zhiyong Wu, Helen Meng, Hung-Yi Lee
We also show that the neural vocoder adopted in the detection framework is dataset-independent.
no code implementations • 24 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.)
no code implementations • 17 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.
no code implementations • 3 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.
no code implementations • 6 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.
no code implementations • 17 Jan 2020 • Gencer Sumbul, Jian Kang, Tristan Kreuziger, Filipe Marcelino, Hugo Costa, Pedro Benevides, Mario Caetano, Begüm Demir
This is achieved by interpreting and arranging the CLC Level-3 nomenclature based on the properties of Sentinel-2 images in a new nomenclature of 19 classes.
1 code implementation • 19 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
no code implementations • 18 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.
no code implementations • WS 2019 • Mingyu Wan, Rong Xiang, Emmanuele Chersoni, Natalia Klyueva, Kathleen Ahrens, Bin Miao, David Broadstock, Jian Kang, Amos Yung, Chu-Ren Huang
no code implementations • 17 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.
no code implementations • 25 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.
no code implementations • 4 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.