no code implementations • 20 Apr 2024 • Xi Wang, Yichen Peng, Heng Fang, Haoran Xie, Xi Yang, Chuntao Li
Achieving this requires the effective decoupling of key attributes within the input image data, aiming to get representations accurately.
no code implementations • 7 Apr 2024 • Bowen Qin, Duanyu Feng, Xi Yang
Reinforcement Learning from Human Feedback (RLHF) is a widely used framework for the training of language models.
1 code implementation • 29 Feb 2024 • Zhaorui Tan, Xi Yang, Kaizhu Huang
Multi-domain generalization (mDG) is universally aimed to minimize the discrepancy between training and testing distributions to enhance marginal-to-label distribution mapping.
1 code implementation • 25 Jan 2024 • Zheqi He, Xinya Wu, Pengfei Zhou, Richeng Xuan, Guang Liu, Xi Yang, Qiannan Zhu, Hua Huang
However, the mastery of domain-specific knowledge, which is essential for evaluating the intelligence of MLLMs, continues to be a challenge.
no code implementations • 20 Jan 2024 • Min Dai, Hanqing Jin, Xi Yang
We propose an innovative data-driven option pricing methodology that relies exclusively on the dataset of historical underlying asset prices.
1 code implementation • 25 Dec 2023 • Shi Guo, jianqi ma, Xi Yang, Zhengqiang Zhang, Lei Zhang
Extensive experiments demonstrate the leading VJDD performance of our method in term of restoration accuracy, perceptual quality and temporal consistency.
no code implementations • 20 Dec 2023 • Xingyilang Yin, Xi Yang, Liangchen Liu, Nannan Wang, Xinbo Gao
Additional offsets and modulation scalars are learned on the whole point features, which shift the deformable reference points to the regions of interest.
1 code implementation • 15 Dec 2023 • Zixian Su, Jingwei Guo, Kai Yao, Xi Yang, Qiufeng Wang, Kaizhu Huang
While recent test-time adaptations exhibit efficacy by adjusting batch normalization to narrow domain disparities, their effectiveness diminishes with realistic mini-batches due to inaccurate target estimation.
no code implementations • 14 Dec 2023 • Rixin Zhou, Ding Xia, Yi Zhang, Honglin Pang, Xi Yang, Chuntao Li
In this paper, we propose a learning-based image fragment pair-searching and -matching approach to solve the challenging restoration problem.
1 code implementation • 13 Dec 2023 • Zhaorui Tan, Xi Yang, Kaizhu Huang
In particular, we propose to augment texts in the semantic space via an Implicit Textual Semantic Preserving Augmentation ($ITA$), in conjunction with a specifically designed Image Semantic Regularization Loss ($L_r$) as Generated Image Semantic Conservation, to cope well with semantic mismatch and collapse.
no code implementations • 11 Dec 2023 • Cheng Peng, Xi Yang, Aokun Chen, Zehao Yu, Kaleb E Smith, Anthony B Costa, Mona G Flores, Jiang Bian, Yonghui Wu
Objective To solve major clinical natural language processing (NLP) tasks using a unified text-to-text learning architecture based on a generative large language model (LLM) via prompt tuning.
no code implementations • 7 Dec 2023 • Binggui Zhou, Xi Yang, Jintao Wang, Shaodan Ma, Feifei Gao, Guanghua Yang
Accurate channel state information (CSI) is essential for downlink precoding at the base station (BS), especially for frequency FDD wideband massive MIMO systems with OFDM.
no code implementations • 5 Dec 2023 • Yang Ai, Xi Yang
For the point cloud registration task, a significant challenge arises from non-overlapping points that consume extensive computational resources while negatively affecting registration accuracy.
1 code implementation • 1 Dec 2023 • Xi Yang, Chenhang He, jianqi ma, Lei Zhang
To ensure the content consistency among adjacent frames, we exploit the temporal dynamics in LR videos to guide the diffusion process by optimizing the latent sampling path with a motion-guided loss, ensuring that the generated HR video maintains a coherent and continuous visual flow.
no code implementations • 11 Oct 2023 • Amin Dada, Aokun Chen, Cheng Peng, Kaleb E Smith, Ahmad Idrissi-Yaghir, Constantin Marc Seibold, Jianning Li, Lars Heiliger, Xi Yang, Christoph M. Friedrich, Daniel Truhn, Jan Egger, Jiang Bian, Jens Kleesiek, Yonghui Wu
Traditionally, large language models have been either trained on general web crawls or domain-specific data.
no code implementations • 10 Oct 2023 • Cheng Peng, Xi Yang, Kaleb E Smith, Zehao Yu, Aokun Chen, Jiang Bian, Yonghui Wu
We evaluated the transfer learning ability of the prompt-based learning algorithms in a cross-institution setting.
1 code implementation • NeurIPS 2023 • Zhenglin Huang, Xiaoan Bao, Na Zhang, Qingqi Zhang, Xiaomei Tu, Biao Wu, Xi Yang
Data augmentation has been proven effective for training high-accuracy convolutional neural network classifiers by preventing overfitting.
no code implementations • 14 Sep 2023 • Liangchen Liu, Nannan Wang, Dawei Zhou, Xinbo Gao, Decheng Liu, Xi Yang, Tongliang Liu
This paper targets a novel trade-off problem in generalizable prompt learning for vision-language models (VLM), i. e., improving the performance on unseen classes while maintaining the performance on seen classes.
1 code implementation • ICCV 2023 • jianqi ma, Zhetong Liang, Wangmeng Xiang, Xi Yang, Lei Zhang
Scene Text Image Super-resolution (STISR) aims to recover high-resolution (HR) scene text images with visually pleasant and readable text content from the given low-resolution (LR) input.
1 code implementation • 5 Jul 2023 • Nicholas Heller, Fabian Isensee, Dasha Trofimova, Resha Tejpaul, Zhongchen Zhao, Huai Chen, Lisheng Wang, Alex Golts, Daniel Khapun, Daniel Shats, Yoel Shoshan, Flora Gilboa-Solomon, Yasmeen George, Xi Yang, Jianpeng Zhang, Jing Zhang, Yong Xia, Mengran Wu, Zhiyang Liu, Ed Walczak, Sean McSweeney, Ranveer Vasdev, Chris Hornung, Rafat Solaiman, Jamee Schoephoerster, Bailey Abernathy, David Wu, Safa Abdulkadir, Ben Byun, Justice Spriggs, Griffin Struyk, Alexandra Austin, Ben Simpson, Michael Hagstrom, Sierra Virnig, John French, Nitin Venkatesh, Sarah Chan, Keenan Moore, Anna Jacobsen, Susan Austin, Mark Austin, Subodh Regmi, Nikolaos Papanikolopoulos, Christopher Weight
Overall KiTS21 facilitated a significant advancement in the state of the art in kidney tumor segmentation, and provides useful insights that are applicable to the field of semantic segmentation as a whole.
1 code implementation • 26 Jun 2023 • Mingyu Jin, Chong Zhang, Qinkai Yu, Haochen Xue, Xiaobo Jin, Xi Yang
Synthesising a text-to-image model of high-quality images by guiding the generative model through the Text description is an innovative and challenging task.
no code implementations • 14 Jun 2023 • Jianan Ye, Yijie Hu, Xi Yang, Qiu-Feng Wang, Chao Huang, Kaizhu Huang
We then design a novel patch-wise residual module in the anomaly learning head to extract and assess the fine-grained anomaly features from each sample, facilitating the learning of discriminative representations of anomaly instances.
1 code implementation • 22 May 2023 • Cheng Peng, Xi Yang, Aokun Chen, Kaleb E Smith, Nima PourNejatian, Anthony B Costa, Cheryl Martin, Mona G Flores, Ying Zhang, Tanja Magoc, Gloria Lipori, Duane A Mitchell, Naykky S Ospina, Mustafa M Ahmed, William R Hogan, Elizabeth A Shenkman, Yi Guo, Jiang Bian, Yonghui Wu
This study provides insights on the opportunities and challenges of LLMs for medical research and healthcare.
no code implementations • 21 May 2023 • Xiao Yu, Yuang Qi, Kejiang Chen, Guoqiang Chen, Xi Yang, Pengyuan Zhu, Weiming Zhang, Nenghai Yu
Large language models (LLMs) can generate texts that carry the risk of various misuses, including plagiarism, planting fake reviews on e-commerce platforms, or creating inflammatory false tweets.
no code implementations • 19 May 2023 • Xi Yang, Hang Li, Qinghua Guo, J. Andrew Zhang, Xiaojing Huang, Zhiqun Cheng
In this work, we study sensing-aided uplink transmission in an integrated sensing and communication (ISAC) vehicular network with the use of orthogonal time frequency space (OTFS) modulation.
no code implementations • 15 May 2023 • Xi Yang, Ge Gao, Min Chi
Apprenticeship learning (AL) is a process of inducing effective decision-making policies via observing and imitating experts' demonstrations.
1 code implementation • 14 May 2023 • Xi Yang, Kejiang Chen, Weiming Zhang, Chang Liu, Yuang Qi, Jie Zhang, Han Fang, Nenghai Yu
To allow third-parties to autonomously inject watermarks into generated text, we develop a watermarking framework for black-box language model usage scenarios.
1 code implementation • CVPR 2023 • Rixin Zhou, Jiafu Wei, Qian Zhang, Ruihua Qi, Xi Yang, Chuntao Li
The archaeological dating of bronze dings has played a critical role in the study of ancient Chinese history.
no code implementations • 18 Mar 2023 • Mark Abdelshiheed, John Wesley Hostetter, Xi Yang, Tiffany Barnes, Min Chi
In this work, students were trained on a logic tutor that supports a default forward-chaining (FC) and a backward-chaining (BC) strategy.
no code implementations • 14 Mar 2023 • Aokun Chen, Zehao Yu, Xi Yang, Yi Guo, Jiang Bian, Yonghui Wu
Materials and methods: We developed NLP systems for medication mention extraction, event classification (indicating medication changes discussed or not), and context classification to classify medication changes context into 5 orthogonal dimensions related to drug changes.
no code implementations • 14 Mar 2023 • Cheng Peng, Xi Yang, Zehao Yu, Jiang Bian, William R. Hogan, Yonghui Wu
GatorTron-MRC achieves the best strict and lenient F1-scores for concept extraction, outperforming previous deep learning models on the two datasets by 1%~3% and 0. 7%~1. 3%, respectively.
Clinical Concept Extraction Machine Reading Comprehension +3
no code implementations • 13 Mar 2023 • Chuan Tang, Xi Yang
Current 3D instance segmentation models generally use multi-stage methods to extract instance objects, including clustering, feature extraction, and post-processing processes.
2 code implementations • 2 Mar 2023 • Binggui Zhou, Xi Yang, Shaodan Ma, Feifei Gao, Guanghua Yang
To further improve the estimation accuracy, we propose a parameter-instance transfer learning approach to transfer the channel knowledge learned from the high-density pilots pre-acquired during the training dataset collection period.
no code implementations • 28 Dec 2022 • Liheng Bian, Haoze Song, Lintao Peng, Xuyang Chang, Xi Yang, Roarke Horstmeyer, Lin Ye, Tong Qin, Dezhi Zheng, Jun Zhang
Benefiting from its single-photon sensitivity, single-photon avalanche diode (SPAD) array has been widely applied in various fields such as fluorescence lifetime imaging and quantum computing.
no code implementations • 13 Dec 2022 • Chaolong Yang, Yuyao Yan, Weiguang Zhao, Jianan Ye, Xi Yang, Amir Hussain, Kaizhu Huang
On the one hand, the unidirectional projection enforces our model focused more on the core task, i. e., 3D segmentation; on the other hand, unlocking the bidirectional to unidirectional projection enables a deeper cross-domain semantic alignment and enjoys the flexibility to fuse better and complicated features from very different spaces.
no code implementations • 8 Dec 2022 • Jiafu Wei, Ding Xia, Haoran Xie, Chia-Ming Chang, Chuntao Li, Xi Yang
We propose an interactive editing method that allows humans to help deep neural networks (DNNs) learn a latent space more consistent with human knowledge, thereby improving classification accuracy on indistinguishable ambiguous data.
no code implementations • 6 Dec 2022 • Zehao Yu, Xi Yang, Chong Dang, Prakash Adekkanattu, Braja Gopal Patra, Yifan Peng, Jyotishman Pathak, Debbie L. Wilson, Ching-Yuan Chang, Wei-Hsuan Lo-Ciganic, Thomas J. George, William R. Hogan, Yi Guo, Jiang Bian, Yonghui Wu
Objective: We aim to develop an open-source natural language processing (NLP) package, SODA (i. e., SOcial DeterminAnts), with pre-trained transformer models to extract social determinants of health (SDoH) for cancer patients, examine the generalizability of SODA to a new disease domain (i. e., opioid use), and evaluate the extraction rate of SDoH using cancer populations.
no code implementations • 30 Nov 2022 • Mark Harfouche, Kanghyun Kim, Kevin C. Zhou, Pavan Chandra Konda, Sunanda Sharma, Eric E. Thomson, Colin Cooke, Shiqi Xu, Lucas Kreiss, Amey Chaware, Xi Yang, Xing Yao, Vinayak Pathak, Martin Bohlen, Ron Appel, Aurélien Bègue, Clare Cook, Jed Doman, John Efromson, Gregor Horstmeyer, Jaehee Park, Paul Reamey, Veton Saliu, Eva Naumann, Roarke Horstmeyer
This article experimentally examines different configurations of a novel multi-camera array microscope (MCAM) imaging technology.
1 code implementation • 30 Nov 2022 • Tianyu Zhang, Xusheng Du, Chia-Ming Chang, Xi Yang, Haoran Xie
However, it is difficult to draw a proper scene graph for image retrieval, image generation, and multi-modal applications.
1 code implementation • 27 Nov 2022 • Zixian Su, Kai Yao, Xi Yang, Qiufeng Wang, Jie Sun, Kaizhu Huang
Single-source domain generalization (SDG) in medical image segmentation is a challenging yet essential task as domain shifts are quite common among clinical image datasets.
1 code implementation • 27 Oct 2022 • Zhaorui Tan, Xi Yang, Zihan Ye, Qiufeng Wang, Yuyao Yan, Anh Nguyen, Kaizhu Huang
Generating consistent and high-quality images from given texts is essential for visual-language understanding.
1 code implementation • 3 Aug 2022 • Penglei Gao, Xi Yang, Rui Zhang, Ping Guo, John Y. Goulermas, Kaizhu Huang
While exogenous variables have a major impact on performance improvement in time series analysis, inter-series correlation and time dependence among them are rarely considered in the present continuous methods.
1 code implementation • 22 Jul 2022 • Rui Qiu, Ming Xu, Yuyao Yan, Jeremy S. Smith, Xi Yang
Although deep-learning based methods for monocular pedestrian detection have made great progress, they are still vulnerable to heavy occlusions.
Ranked #2 on Multiview Detection on Wildtrack (using extra training data)
1 code implementation • ICCV 2023 • Weiguang Zhao, Yuyao Yan, Chaolong Yang, Jianan Ye, Xi Yang, Kaizhu Huang
Due to the uneven distribution of offset points, these existing methods can hardly cluster all instance points.
Ranked #3 on 3D Instance Segmentation on S3DIS
1 code implementation • 12 Jul 2022 • Kai Yao, Penglei Gao, Xi Yang, Kaizhu Huang, Jie Sun, Rui Zhang
Image outpainting, which is well studied with Convolution Neural Network (CNN) based framework, has recently drawn more attention in computer vision.
no code implementations • 12 Jul 2022 • Tao Liu, Xi Yang, Chenshu Chen
As a promising approach in model compression, knowledge distillation improves the performance of a compact model by transferring the knowledge from a cumbersome one.
1 code implementation • 13 Jun 2022 • Yi He, Xi Yang, Chia-Ming Chang, Haoran Xie, Takeo Igarashi
Attention guidance is an approach to addressing dataset bias in deep learning, where the model relies on incorrect features to make decisions.
no code implementations • 24 May 2022 • Zixian Su, Kai Yao, Xi Yang, Qiufeng Wang, Yuyao Yan, Jie Sun, Kaizhu Huang
This combination of global and local alignment can precisely localize the crucial regions in segmentation target while preserving the overall semantic consistency.
no code implementations • 25 Apr 2022 • Shiqi Xu, Xiang Dai, Xi Yang, Kevin C. Zhou, Kanghyun Kim, Vinayak Pathak, Carolyn Glass, Roarke Horstmeyer
We report Tensorial Tomographic Differential Phase-Contrast microscopy (T2DPC), a quantitative label-free tomographic imaging method for simultaneous measurement of phase and anisotropy.
1 code implementation • 8 Apr 2022 • Weiguang Zhao, Chaolong Yang, Jianan Ye, Rui Zhang, Yuyao Yan, Xi Yang, Bin Dong, Amir Hussain, Kaizhu Huang
While weakly supervised multi-view face reconstruction (MVR) is garnering increased attention, one critical issue still remains open: how to effectively fuse multiple image information to reconstruct high-precision 3D models.
no code implementations • 4 Apr 2022 • Shiqi Xu, Wenhui Liu, Xi Yang, Joakim Jönsson, Ruobing Qian, Paul McKee, Kanghyun Kim, Pavan Chandra Konda, Kevin C. Zhou, Lucas Kreiß, Haoqian Wang, Edouard Berrocal, Scott Huettel, Roarke Horstmeyer
We evaluate our setup by classifying different spatiotemporal-decorrelating patterns hidden beneath a 5mm tissue-like phantom made with rapidly decorrelating dynamic scattering media.
1 code implementation • CVPR 2022 • Hangyu Li, Nannan Wang, Xi Yang, Xiaoyu Wang, Xinbo Gao
In this paper, we learn an Adaptive Confidence Margin (Ada-CM) to fully leverage all unlabeled data for semi-supervised deep facial expression recognition.
Facial Expression Recognition Facial Expression Recognition (FER)
1 code implementation • CVPR 2022 • Shi Guo, Xi Yang, jianqi ma, Gaofeng Ren, Lei Zhang
Denoising and demosaicking are two essential steps to reconstruct a clean full-color image from the raw data.
no code implementations • 2 Feb 2022 • Xi Yang, Aokun Chen, Nima PourNejatian, Hoo Chang Shin, Kaleb E Smith, Christopher Parisien, Colin Compas, Cheryl Martin, Mona G Flores, Ying Zhang, Tanja Magoc, Christopher A Harle, Gloria Lipori, Duane A Mitchell, William R Hogan, Elizabeth A Shenkman, Jiang Bian, Yonghui Wu
GatorTron models scale up the clinical language model from 110 million to 8. 9 billion parameters and improve 5 clinical NLP tasks (e. g., 9. 6% and 9. 5% improvement in accuracy for NLI and MQA), which can be applied to medical AI systems to improve healthcare delivery.
1 code implementation • 27 Jan 2022 • Penglei Gao, Xi Yang, Rui Zhang, John Y. Goulermas, Yujie Geng, Yuyao Yan, Kaizhu Huang
In this paper, we develop a novel transformer-based generative adversarial neural network called U-Transformer for generalised image outpainting problem.
no code implementations • 15 Dec 2021 • Xi Yang, Jie Zhang, Kejiang Chen, Weiming Zhang, Zehua Ma, Feng Wang, Nenghai Yu
Tracing text provenance can help claim the ownership of text content or identify the malicious users who distribute misleading content like machine-generated fake news.
no code implementations • 10 Aug 2021 • Zehao Yu, Xi Yang, Chong Dang, Songzi Wu, Prakash Adekkanattu, Jyotishman Pathak, Thomas J. George, William R. Hogan, Yi Guo, Jiang Bian, Yonghui Wu
In this study, we examined two state-of-the-art transformer-based NLP models, including BERT and RoBERTa, to extract SBDoH concepts from clinical narratives, applied the best performing model to extract SBDoH concepts on a lung cancer screening patient cohort, and examined the difference of SBDoH information between NLP extracted results and structured EHRs (SBDoH information captured in standard vocabularies such as the International Classification of Diseases codes).
1 code implementation • 19 Jul 2021 • Xi Yang, Zehao Yu, Yi Guo, Jiang Bian, Yonghui Wu
The goal of this study is to systematically explore three widely used transformer-based models (i. e., BERT, RoBERTa, and XLNet) for clinical relation extraction and develop an open-source package with clinical pre-trained transformer-based models to facilitate information extraction in the clinical domain.
1 code implementation • CVPR 2023 • Chuan Tang, Xi Yang, Bojian Wu, Zhizhong Han, Yi Chang
Specifically, we first segment the point clouds into parts, and then leverage optimal transport method to match parts and words in an optimized feature space, where each part is represented by aggregating features of all points within it and each word is abstracted by its contextual information.
no code implementations • 3 Jul 2021 • Shiqi Xu, Xi Yang, Wenhui Liu, Joakim Jonsson, Ruobing Qian, Pavan Chandra Konda, Kevin C. Zhou, Lucas Kreiss, Qionghai Dai, Haoqian Wang, Edouard Berrocal, Roarke Horstmeyer
Noninvasive optical imaging through dynamic scattering media has numerous important biomedical applications but still remains a challenging task.
no code implementations • 23 Apr 2021 • Yi He, Haoran Xie, Chao Zhang, Xi Yang, Kazunori Miyata
This paper proposes a deep generative model for generating normal maps from users sketch with geometric sampling.
no code implementations • 9 Apr 2021 • Heng Fang, Xi Yang, Taichi Kin, Takeo Igarashi
Whole-brain surface extraction is an essential topic in medical imaging systems as it provides neurosurgeons with a broader view of surgical planning and abnormality detection.
1 code implementation • 2 Jan 2021 • Xi Yang, Jan Hannig, Katherine A. Hoadley, Iain Carmichael, J. S. Marron
For measuring the strength of visually-observed subpopulation differences, the Population Difference Criterion is proposed to assess the statistical significance of visually observed subpopulation differences.
no code implementations • ICCV 2021 • Ziyu Wei, Xi Yang, Nannan Wang, Xinbo Gao
Visible infrared person re-identification (VI-REID) aims to match pedestrian images between the daytime visible and nighttime infrared camera views.
1 code implementation • ICCV 2021 • Xi Yang, Wangmeng Xiang, Hui Zeng, Lei Zhang
Existing VSR methods are mostly trained and evaluated on synthetic datasets, where the LR videos are uniformly downsampled from their high-resolution (HR) counterparts by some simple operators (e. g., bicubic downsampling).
no code implementations • 3 Dec 2020 • Weicong Chen, Xi Yang, Shi Jin, Pingping Xu
An approximated ergodic spectral efficiency of the SAoS aided system is derived and the performance impact of the SAoS design is evaluated.
Information Theory Information Theory
1 code implementation • 26 Nov 2020 • Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang
We propose a continuous neural network architecture, termed Explainable Tensorized Neural Ordinary Differential Equations (ETN-ODE), for multi-step time series prediction at arbitrary time points.
no code implementations • 13 Aug 2020 • Xi Yang, Suining He
To fill this gap, in this work we propose a novel and efficient bike station-level prediction algorithm called AtCoR, which can predict the bike usage at both existing and new stations (candidate locations during reconfiguration).
no code implementations • 3 Jul 2020 • Jinshan Xu, Zhenqin Chen, Yanpei Lu, Xi Yang, Alain Pumir
Preterm labor is the leading cause of neonatal morbidity and mortality and has attracted research efforts from many scientific areas.
no code implementations • 29 Jun 2020 • Xi Yang, Ding Xia, Taichi Kin, Takeo Igarashi
In this study, we offer a two-step surface-based deep learning pipeline that achieves significantly higher performance.
no code implementations • 18 Apr 2020 • Hui Li, Xi Yang, ZhenMing Li, TianLun Zhang
To improve the visual quality of underwater images, we proposed a novel enhancement model, which is a trainable end-to-end neural model.
no code implementations • 6 Mar 2020 • Jiajia Guo, Xi Yang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
These enhancements are tasked with the precise retrieval and fusion of shared and individual data.
Information Theory Signal Processing Information Theory
1 code implementation • CVPR 2020 • Xi Yang, Ding Xia, Taichi Kin, Takeo Igarashi
In this paper, instead of 2D medical images, we introduce an open-access 3D intracranial aneurysm dataset, IntrA, that makes the application of points-based and mesh-based classification and segmentation models available.
no code implementations • 20 Jan 2020 • Chao Zhang, Xuequan Lu, Katsuya Hotta, Xi Yang
The WA data can be naturally obtained in an interactive way for specific tasks, for example, in the case of homography estimation, one can easily annotate points on the same plane/object with a single label by observing the image.
no code implementations • 1 Oct 2019 • Xi Yang, Yan Gong, Nida Waheed, Keith March, Jiang Bian, William R. Hogan, Yonghui Wu
Early detection of cancer patients at risk for cardiotoxicity before cardiotoxic treatments and providing preventive measures are potential solutions to improve cancer patients's quality of life.
no code implementations • 2 May 2019 • Xi Yang, Bojian Wu, Issei Sato, Takeo Igarashi
Deep neural networks (DNNs) have a high accuracy on image classification tasks.
no code implementations • 24 Oct 2018 • Tianlun Zhang, Xi Yang
In this paper, the focus is to develop a robust synthetic minority oversampling technique which falls the umbrella of data level approaches.
no code implementations • 23 May 2018 • Xi Yang, Xinbo Gao, Bin Song, Nannan Wang, Dong Yang
In this paper, we aim to explore a new search method for images captured with circular fisheye lens, especially the aurora images.