no code implementations • 13 Mar 2024 • Raza Nowrozy, Khandakar Ahmed, Hua Wang
As digital healthcare evolves, the security of electronic health records (EHR) becomes increasingly crucial.
no code implementations • 24 Aug 2023 • Hua Wang, Yuqiong Wu, Yushun Zhang, Fuqiang Lai, Zhou Feng, Bing Xie, Ailin Zhao
Using the SHAP explainable machine learning model, we calculate the importance of each input log to the predicted results as well as the coupling relationship among input logs.
no code implementations • 9 Jun 2023 • Hua Wang, Sheng Gao, Huanyu Zhang, Weijie J. Su, Milan Shen
In our paper, we introduce DP-HyPO, a pioneering framework for ``adaptive'' private hyperparameter optimization, aiming to bridge the gap between private and non-private hyperparameter optimization.
no code implementations • 9 Mar 2023 • Min Zeng, Haimiao Mo, Zhiming Liang, Hua Wang
The "LFWA+FD" focuses on searching the ideal feature subset by simplifying the fireworks algorithm and constraining the dimensionality of selected features by fractal dimensionality, which in turn reduces the approximate features and reduces the noise in the original data to improve the accuracy of the model.
1 code implementation • 22 Nov 2022 • Kumail Abbas, Muhammad Saeed, M. Imad Khan, Khandakar Ahmed, Hua Wang
Our research tries to solve one of these problems by segmenting ball deliveries in a cricket broadcast using deep learning models, MobileNet and YOLO, thus enabling researchers to use our work as a dataset for their research.
1 code implementation • 10 Oct 2022 • Miao Peng, Ben Liu, Qianqian Xie, Wenjie Xu, Hua Wang, Min Peng
Specifically, we first exploit network schema as the prior constraint to sample negatives and pre-train our model by employing a multi-level contrastive learning method to yield both prior schema and contextual information.
1 code implementation • 9 Jun 2022 • Hua Wang, Sheng Gao, Huanyu Zhang, Milan Shen, Weijie J. Su
Many modern machine learning algorithms are composed of simple private algorithms; thus, an increasingly important problem is to efficiently compute the overall privacy loss under composition.
no code implementations • 6 Jan 2022 • Siawpeng Er, Edward Liu, Minshuo Chen, Yan Li, Yuqi Liu, Tuo Zhao, Hua Wang
This paper presents a deep learning assisted synthesis approach for direct end-to-end generation of RF/mm-wave passive matching network with 3D EM structures.
1 code implementation • NeurIPS 2021 • Jiayao Zhang, Hua Wang, Weijie J. Su
Our main finding uncovers a sharp phase transition phenomenon regarding the {intra-class impact: if the SDEs are locally elastic in the sense that the impact is more significant on samples from the same class as the input, the features of the training data become linearly separable, meaning vanishing training loss; otherwise, the features are not separable, regardless of how long the training time is.
1 code implementation • 15 Jun 2021 • Zhiqi Bu, Hua Wang, Zongyu Dai, Qi Long
Differentially private (DP) training preserves the data privacy usually at the cost of slower convergence (and thus lower accuracy), as well as more severe mis-calibration than its non-private counterpart.
no code implementations • 14 Mar 2021 • Kai Liu, Yongjian Zhao, Hua Wang
Over the past decade, learning a dictionary from input images for sparse modeling has been one of the topics which receive most research attention in image processing and compressed sensing.
no code implementations • 2 Mar 2021 • Anwen Liao, Zhen Gao, Dongming Wang, Hua Wang, Hao Yin, Derrick Wing Kwan Ng, Mohamed-Slim Alouini
According to the proposed prior-aided iterative angle estimation algorithm, azimuth/elevation angles can be estimated, and these angles are adopted to achieve precise beam-alignment and refine GTTDU module for further eliminating delay-beam squint.
Information Theory Signal Processing Information Theory
1 code implementation • IEEE Access 2020 • Dewei Su, Hua Wang, Longcun Jin, Xianfang Sun, Xinyi Peng
The results on benchmark datasets of our LGFN are presented on https://github. com/BIOINSu/LGFN and the source code will be released as soon as the paper is accepted.
Ranked #4 on Video Super-Resolution on MSU Video Upscalers: Quality Enhancement (VMAF metric)
no code implementations • 25 Aug 2020 • David Munzer, Siawpeng Er, Minshuo Chen, Yan Li, Naga S. Mannem, Tuo Zhao, Hua Wang
We propose using machine learning models for the direct synthesis of on-chip electromagnetic (EM) passive structures to enable rapid or even automated designs and optimizations of RF/mm-Wave circuits.
2 code implementations • NeurIPS 2020 • Hua Wang, Yachong Yang, Zhiqi Bu, Weijie J. Su
A fundamental problem in the high-dimensional regression is to understand the tradeoff between type I and type II errors or, equivalently, false discovery rate (FDR) and power in variable selection.
Statistics Theory Information Theory Information Theory Statistics Theory
no code implementations • 17 Jun 2020 • Jiahua Du, Jia Rong, Hua Wang, Yanchun Zhang
Four weighting schemes are designed to learn context clues from the selected neighbors.
no code implementations • 5 May 2020 • Dario Fuoli, Zhiwu Huang, Martin Danelljan, Radu Timofte, Hua Wang, Longcun Jin, Dewei Su, Jing Liu, Jaehoon Lee, Michal Kudelski, Lukasz Bala, Dmitry Hrybov, Marcin Mozejko, Muchen Li, Si-Yao Li, Bo Pang, Cewu Lu, Chao Li, Dongliang He, Fu Li, Shilei Wen
For track 2, some existing methods are evaluated, showing promising solutions to the weakly-supervised video quality mapping problem.
no code implementations • 6 Nov 2019 • Zhaoxia Yin, Hua Wang, Li Chen, Jie Wang, Weiming Zhang
In order to prevent illegal or unauthorized access of image data such as human faces and ensure legitimate users can use authorization-protected data, reversible adversarial attack technique is rise.
no code implementations • 25 Sep 2019 • Saad Elbeleidy, Lyujian Lu, L. Zoe Baker, Hua Wang, Feiping Nie
Longitudinal data is often available inconsistently across individuals resulting in ignoring of additionally available data.
1 code implementation • 24 Sep 2019 • Hua Wang, Dewei Su, Chuangchuang Liu, Longcun Jin, Xianfang Sun, Xinyi Peng
The video super-resolution (VSR) task aims to restore a high-resolution (HR) video frame by using its corresponding low-resolution (LR) frame and multiple neighboring frames.
no code implementations • 29 Jun 2019 • Feiping Nie, Hua Wang, Zheng Wang, Heng Huang
In this paper, we propose a novel robust linear discriminant analysis method based on the L1, 2-norm ratio minimization.
no code implementations • 15 May 2019 • Hua Wang, Jie Wang, Zhaoxia Yin
Deep Neural Networks (DNNs) are vulnerable to adversarial examples generated by imposing subtle perturbations to inputs that lead a model to predict incorrect outputs.
1 code implementation • 16 Mar 2019 • Kai Liu, Qiuwei Li, Hua Wang, Gongguo Tang
However, most of the studies on PCA aim to minimize the loss after projection, which usually measures the Euclidean distance, though in some fields, angle distance is known to be more important and critical for analysis.
no code implementations • 23 Jul 2018 • Hengliang Zhu, Yangyang Hao, Lizhuang Ma, Ruixing Li, Hua Wang
We participated the Task 1: Lesion Segmentation.
no code implementations • ACL 2018 • Min Peng, Qianqian Xie, Yanchun Zhang, Hua Wang, Xiuzhen Zhang, Jimin Huang, Gang Tian
Topic models with sparsity enhancement have been proven to be effective at learning discriminative and coherent latent topics of short texts, which is critical to many scientific and engineering applications.
no code implementations • CVPR 2018 • Kai Liu, Hua Wang, Feiping Nie, Hao Zhang
To tackle these two challenges, in this paper we propose a novel image representation learning method that can integrate the local patches (the instances) of an input image (the bag) and its holistic representation into one single-vector representation.
no code implementations • 11 Nov 2017 • Xiangyu Zhu, Yingying Jiang, Shuli Yang, Xiaobing Wang, Wei Li, Pei Fu, Hua Wang, Zhenbo Luo
Scene text detection is a challenging problem in computer vision.
1 code implementation • 29 Jun 2017 • Yingying Jiang, Xiangyu Zhu, Xiaobing Wang, Shuli Yang, Wei Li, Hua Wang, Pei Fu, Zhenbo Luo
In this paper, we propose a novel method called Rotational Region CNN (R2CNN) for detecting arbitrary-oriented texts in natural scene images.
4 code implementations • 4 May 2017 • Yifan Liu, Zengchang Qin, Zhenbo Luo, Hua Wang
Learning to generate colorful cartoon images from black-and-white sketches is not only an interesting research problem, but also a potential application in digital entertainment.
no code implementations • 20 Jul 2016 • Jiangang Ma, Le Sun, Hua Wang, Yanchun Zhang, Uwe Aickelin
Uncertain data streams have been widely generated in many Web applications.
no code implementations • 30 Apr 2016 • Xue Yang, Fei Han, Hua Wang, Hao Zhang
Sparse representation has been widely studied in visual tracking, which has shown promising tracking performance.
no code implementations • CVPR 2013 • Hua Wang, Feiping Nie, Heng Huang, Chris Ding
We applied our SMML method to five broadly used object categorization and scene understanding image data sets for both singlelabel and multi-label image classification tasks.
no code implementations • NeurIPS 2012 • Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon Risacher, Andrew Saykin, Li Shen
Alzheimer disease (AD) is a neurodegenerative disorder characterized by progressive impairment of memory and other cognitive functions.