no code implementations • ECNLP (ACL) 2022 • Yang Liu, Varnith Chordia, Hua Li, Siavash Fazeli Dehkordy, Yifei Sun, Vincent Gao, Na Zhang
To harness such information to better serve customers, in this paper, we created a machine learning approach to automatically identify product issues and uncover root causes from the customer feedback text.
no code implementations • 19 May 2023 • Xiyao Jin, Yao Hao, Jessica Hilliard, Zhehao Zhang, Maria A. Thomas, Hua Li, Abhinav K. Jha, Geoffrey D. Hugo
An image domain shift detector was developed by utilizing a trained Denoising autoencoder (DAE) and two hand-engineered features.
no code implementations • 23 Nov 2022 • Kaiyan Li, Hua Li, Mark A. Anastasio
The task-component was designed to measure the performance of a numerical observer (NO) on a signal detection task.
no code implementations • 11 Oct 2022 • Zong Fan, Ping Gong, Shanshan Tang, Christine U. Lee, Xiaohui Zhang, Pengfei Song, Shigao Chen, Hua Li
By use of the attention mechanism, the auxiliary lesion-aware network can optimize multi-scale intermediate feature maps and extract rich semantic information to improve classification and localization performance.
no code implementations • 8 Oct 2022 • Hua Li, Wenya Luo, Zhidong Bai, Huanchao Zhou, Zhangni Pu
In this paper, we propose an improved linear discriminant analysis, called spectrally-corrected and regularized linear discriminant analysis (SCRLDA).
no code implementations • 17 Aug 2022 • Hua Li, Junyan Liang, Ruiqi Wu, Runmin Cong, Junhui Wu, Sam Tak Wu Kwong
To decouple stereo disparity information and spatial information, the spatial information is temporarily removed before fusing the features of stereo image pairs, and a decoupled stereo fusion module (DSFM) is proposed to handle the stereo features alignment as well as occlusion problems.
no code implementations • 17 Aug 2022 • Amit Sharma, Hua Li, Jian Jiao
Specifically, we propose a method to estimate counterfactuals using time-series predictive models and construct an attribution score, CF-Shapley, that is consistent with desirable axioms for attributing an observed change in the output metric.
no code implementations • 23 Jun 2022 • Zong Fan, Xiaohui Zhang, Jacob A. Gasienica, Jennifer Potts, Su Ruan, Wade Thorstad, Hiram Gay, Pengfei Song, Xiaowei Wang, Hua Li
Deep learning (DL) techniques have been extensively utilized for medical image classification.
no code implementations • 27 Feb 2022 • Zong Fan, Varun Kelkar, Mark A. Anastasio, Hua Li
Generative adversarial networks (GANs) have been widely investigated for many potential applications in medical imaging.
no code implementations • 10 Feb 2022 • Jinlei Zhang, Hua Li, Lixing Yang, Guangyin Jin, Jianguo Qi, Ziyou Gao
To overcome these limitations, we propose a novel deep learning-based spatiotemporal graph generative adversarial network (STG-GAN) model with higher prediction accuracy, higher efficiency, and lower memory occupancy to predict short-term passenger flows of the URT network.
no code implementations • 3 Jan 2022 • Hanlin Mo, Hua Li, Guoying Zhao
Then, we design a structural framework to generate Gaussian-Hermite moment invariants for these two transform models systematically.
no code implementations • 22 Oct 2021 • Kaiyan Li, Weimin Zhou, Hua Li, Mark A. Anastasio
Specifically, a hybrid approach is developed that combines a multi-task convolutional neural network and a Markov-Chain Monte Carlo (MCMC) method in order to approximate the IO for detection-estimation tasks.
no code implementations • 6 Jul 2021 • Xiaohui Zhang, Varun A. Kelkar, Jason Granstedt, Hua Li, Mark A. Anastasio
The presented study highlights the urgent need for the objective assessment of DL-SR methods and suggests avenues for improving their efficacy in medical imaging applications.
no code implementations • 27 Jun 2021 • Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Hua Li, Mark A. Anastasio
AmbientGANs established using the proposed training procedure are systematically validated in a controlled way using computer-simulated magnetic resonance imaging (MRI) data corresponding to a stylized imaging system.
no code implementations • 28 Apr 2021 • Kaiyan Li, Weimin Zhou, Hua Li, Mark A. Anastasio
The performance of the ideal observer (IO) and common linear numerical observers are quantified and detection efficiencies are computed to assess the impact of the denoising operation on task performance.
no code implementations • 30 Jan 2021 • Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Jason L. Granstedt, Hua Li, Mark A. Anastasio
Medical imaging systems are commonly assessed and optimized by use of objective-measures of image quality (IQ) that quantify the performance of an observer at specific tasks.
no code implementations • 21 Jan 2021 • Hongxiang Hao., Hanlin Mo., Hua Li
In this paper, we focus on removing interference of motion blur by the derivation of motion blur invariants. Unlike earlier work, we don't restore any blurred image.
no code implementations • 11 Dec 2020 • Hua Li, Yuheng Jia, Runmin Cong, Wenhui Wu, Sam Kwong, Chuanbo Chen
Consequently, we devise a spatial regularization and propose a novel convex locality-constrained subspace clustering model that is able to constrain the spatial adjacent pixels with similar attributes to be clustered into a superpixel and generate the content-aware superpixels with more detailed boundaries.
1 code implementation • 10 Dec 2020 • Bowen Cai, Huan Fu, Rongfei Jia, Binqiang Zhao, Hua Li, Yinghui Xu
Adapting semantic segmentation models to new domains is an important but challenging problem.
no code implementations • 7 Nov 2020 • Shenghua He, Kyaw Thu Minn, Lilianna Solnica-Krezel, Mark A. Anastasio, Hua Li
In this study, we proposed a new density regression-based method for automatically counting cells in microscopy images.
no code implementations • 2 Oct 2020 • Chongyi Li, Runmin Cong, Chunle Guo, Hua Li, Chunjie Zhang, Feng Zheng, Yao Zhao
In this paper, we propose a novel Parallel Down-up Fusion network (PDF-Net) for SOD in optical RSIs, which takes full advantage of the in-path low- and high-level features and cross-path multi-resolution features to distinguish diversely scaled salient objects and suppress the cluttered backgrounds.
no code implementations • 23 Sep 2020 • Hongyi Li, You Lv, Xiaoliang Chen, Bei Li, Qi Hua, Fusui Ji, Yajun Yin, Hua Li
In real-time observations, the calculated velocity of a continuous ISF flow along fibers of a PACT pathway was 3. 6-15. 6 mm/sec.
no code implementations • 31 May 2020 • Jiancheng Qin, Jin Yang, Ying Chen, Qiang Ye, Hua Li
Considering the overfitting issue, we propose a new moving window-based algorithm using a validation set in the first stage to update the training data in both stages with two different moving window processes. Experiments were conducted at three wind farms, and the results demonstrate that the model with single input multiple output structure obtains better forecasting accuracy compared to existing models.
no code implementations • 29 May 2020 • Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Hua Li, Mark A. Anastasio
To circumvent this, in this work, a new Progressive Growing AmbientGAN (ProAmGAN) strategy is developed for establishing SOMs from medical imaging measurements.
no code implementations • 29 May 2020 • Weimin Zhou, Hua Li, Mark A. Anastasio
When joint signal detection and localization tasks are considered, the IO that employs a modified generalized likelihood ratio test maximizes observer performance as characterized by the localization receiver operating characteristic (LROC) curve.
no code implementations • 21 Apr 2020 • Qi Li, Hanlin Mo, Jinghan Zhao, Hongxiang Hao, Hua Li
The dynamics of human skeletons have significant information for the task of action recognition.
no code implementations • 3 Feb 2020 • Shenghua He, Weimin Zhou, Hua Li, Mark A. Anastasio
In this study, we propose and investigate the use of an adversarial domain adaptation method to mitigate the deleterious effects of domain shift between simulated and experimental image data for deep learning-based numerical observers (DL-NOs) that are trained on simulated images but applied to experimental ones.
no code implementations • 26 Jan 2020 • Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Hua Li, Mark A. Anastasio
However, because medical imaging systems record imaging measurements that are noisy and indirect representations of object properties, GANs cannot be directly applied to establish stochastic models of objects to-be-imaged.
no code implementations • 19 Nov 2019 • You Hao, Hanlin Mo, Qi Li, He Zhang, Hua Li
In this paper, we propose a general framework to derive moment invariants under DAT for objects in M-dimensional space with N channels, which can be called dual-affine moment invariants (DAMI).
no code implementations • 13 Nov 2019 • Hanlin Mo, Hua Li
As far as we know, no previous papers have published so many explicit forms of high-order rotation differential invariants of images.
no code implementations • 15 May 2019 • Weimin Zhou, Hua Li, Mark A. Anastasio
For binary signal detection tasks, the Bayesian Ideal Observer (IO) sets an upper limit of observer performance and has been advocated for use in optimizing medical imaging systems and data-acquisition designs.
no code implementations • 4 Mar 2019 • Shenghua He, Kyaw Thu Minn, Lilianna Solnica-Krezel, Mark Anastasio, Hua Li
Accurately counting cells in microscopic images is important for medical diagnoses and biological studies, but manual cell counting is very tedious, time-consuming, and prone to subjective errors, and automatic counting can be less accurate than desired.
no code implementations • 1 Mar 2019 • Shenghua He, Kyaw Thu Minn, Lilianna Solnica-Krezel, Hua Li, Mark Anastasio
A domain adaptation model (DAM) is built to map experimental images (the target domain) to the feature space of the source domain.
no code implementations • 13 Feb 2019 • Chen Sun, Ye Tian, Liang Gao, Yishuai Niu, Tianlong Zhang, Hua Li, Yuqing Zhang, Zengqi Yue, Nicole Delepine-Gilon, Jin Yu
Machine learning has been used to develop the model.
no code implementations • 30 Aug 2018 • He Zhang, Hanlin Mo, You Hao, Qi Li, Hua Li
According to the Liouville Theorem, an important part of the conformal transformation is the Mobius transformation, so we focus on Mobius transformation and propose two differential expressions that are invariable under 2-D and 3-D Mobius transformation respectively.
no code implementations • 10 Jul 2018 • Shenghua He, Jie Zheng, Akiko Maehara, Gary Mintz, Dalin Tang, Mark Anastasio, Hua Li
Traditional machine learning based methods, such as the least squares support vector machine and random forest methods, have been recently employed to automatically characterize plaque regions in OCT images.
no code implementations • 20 Oct 2017 • He Zhang, Hanlin Mo, You Hao, Shirui Li, Hua Li
And the five chiral invariants have four characteristics:(1) They play an important role in the detection of symmetry, especially in the treatment of 'false zero' problem.
no code implementations • 19 Jul 2017 • Erbo Li, Hanlin Mo, Dong Xu, Hua Li
In this paper, we propose relative projective differential invariants (RPDIs) which are invariant to general projective transformations.
no code implementations • 14 Jun 2017 • Hanlin Mo, Shirui Li, You Hao, Hua Li
We propose the general construction formula of shape-color primitives by using partial differentials of each color channel in this paper.
no code implementations • 5 Jun 2017 • Hanlin Mo, You Hao, Shirui Li, Hua Li
A new kind of geometric invariants is proposed in this paper, which is called affine weighted moment invariant (AWMI).
no code implementations • 31 May 2017 • Ming Gong, You Hao, Hanlin Mo, Hua Li
We proposed a kind of naturally combined shape-color affine moment invariants (SCAMI), which consider both shape and color affine transformations simultaneously in one single system.
no code implementations • 30 May 2017 • Erbo Li, Hua Li
Symmetry detection and discrimination are of fundamental meaning in science, technology, and engineering.
no code implementations • 20 May 2017 • Erbo Li, Hua Li
The differential invariant is essential in understanding or describing some important phenomena or procedures in mathematics, physics, chemistry, biology or computer science etc.
no code implementations • 19 May 2017 • You Hao, Shirui Li, Hanlin Mo, Hua Li
We present a novel Affine-Gradient based Local Binary Pattern (AGLBP) descriptor for texture classification.
no code implementations • 10 May 2017 • Shirui Li, Alper Yilmaz, Changlin Xiao, Hua Li
The TSDF represents the distance between the spatial points and object surface points which is an implicit surface representation.
no code implementations • 7 Mar 2017 • Erbo Li, Yazhou Huang, Dong Xu, Hua Li
Two fundamental building blocks or generating functions (GFs) for invariants are discovered, which are dot product and vector product of point vectors in Euclidean space.
1 code implementation • 20 Jul 2016 • Chaoyang Jiang, Mustafa K. Masood, Yeng Chai Soh, Hua Li
The accuracy is up to 94 percent with a tolerance of four occupants.