Search Results for author: Xi Yang

Found 63 papers, 24 papers with code

Gradient constrained sharpness-aware prompt learning for vision-language models

no code implementations14 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.

A Benchmark for Chinese-English Scene Text Image Super-resolution

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.

Image Super-Resolution

A Simple and Effective Baseline for Attentional Generative Adversarial Networks

1 code implementation26 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.

Image Generation

SaliencyCut: Augmenting Plausible Anomalies for Anomaly Detection

no code implementations14 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.

Anomaly Detection Data Augmentation

GPT Paternity Test: GPT Generated Text Detection with GPT Genetic Inheritance

no code implementations21 May 2023 Xiao Yu, Yuang Qi, Kejiang Chen, Guoqiang Chen, Xi Yang, Pengyuan Zhu, Weiming Zhang, Nenghai Yu

By comparing the similarity between the original text and the generated re-answered text, it can be determined whether the text is machine-generated.

Test Text Detection

Sensing Aided Uplink Transmission in OTFS ISAC with Joint Parameter Association, Channel Estimation and Signal Detection

no code implementations19 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.

An Offline Time-aware Apprenticeship Learning Framework for Evolving Reward Functions

no code implementations15 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.

Decision Making

Watermarking Text Generated by Black-Box Language Models

1 code implementation14 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.

Adversarial Robustness Language Modelling +2

Mixing Backward- with Forward-Chaining for Metacognitive Skill Acquisition and Transfer

no code implementations18 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.

Clinical Concept and Relation Extraction Using Prompt-based Machine Reading Comprehension

no code implementations14 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 +2

Contextualized Medication Information Extraction Using Transformer-based Deep Learning Architectures

no code implementations14 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.

Classification Language Modelling +1

OSIS: Efficient One-stage Network for 3D Instance Segmentation

no code implementations13 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.

3D Instance Segmentation Clustering +2

Pay Less But Get More: A Dual-Attention-based Channel Estimation Network for Massive MIMO Systems with Low-Density Pilots

2 code implementations2 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.

Transfer Learning

Large-scale single-photon imaging

no code implementations28 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.


Towards Deeper and Better Multi-view Feature Fusion for 3D Semantic Segmentation

no code implementations13 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.

3D Semantic Segmentation Scene Understanding +1

SpaceEditing: Integrating Human Knowledge into Deep Neural Networks via Interactive Latent Space Editing

no code implementations8 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.

Dimensionality Reduction

SODA: A Natural Language Processing Package to Extract Social Determinants of Health for Cancer Studies

no code implementations6 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.

SGDraw: Scene Graph Drawing Interface Using Object-Oriented Representation

1 code implementation30 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.

Graph Generation Image Generation +4

Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentation

1 code implementation27 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.

Data Augmentation Domain Generalization +4

EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction with Exogenous Variables

1 code implementation3 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.

Time Series Time Series Prediction

3D Random Occlusion and Multi-Layer Projection for Deep Multi-Camera Pedestrian Localization

1 code implementation22 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 #1 on Multiview Detection on Wildtrack (using extra training data)

Data Augmentation Multiview Detection +1

Outpainting by Queries

1 code implementation12 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.

Image Outpainting

Normalized Feature Distillation for Semantic Segmentation

no code implementations12 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.

Knowledge Distillation Model Compression +2

Efficient Human-in-the-loop System for Guiding DNNs Attention

1 code implementation13 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.

Active Learning Image Classification

Mind The Gap: Alleviating Local Imbalance for Unsupervised Cross-Modality Medical Image Segmentation

no code implementations24 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.

Cardiac Segmentation Disentanglement +4

Tensorial tomographic differential phase-contrast microscopy

no code implementations25 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.

From 2D Images to 3D Model:Weakly Supervised Multi-View Face Reconstruction with Deep Fusion

no code implementations8 Apr 2022 Weiguang Zhao, Chaolong Yang, Jianan Ye, Yuyao Yan, Xi Yang, Kaizhu Huang

We consider the problem of Multi-view 3D Face Reconstruction (MVR) with weakly supervised learning that leverages a limited number of 2D face images (e. g. 3) to generate a high-quality 3D face model with very light annotation.

3D Face Reconstruction Face Model +1

Towards Semi-Supervised Deep Facial Expression Recognition with An Adaptive Confidence Margin

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)

GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records

no code implementations2 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.

Clinical Concept Extraction Language Modelling +5

Generalised Image Outpainting with U-Transformer

1 code implementation27 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.

Image Outpainting

Tracing Text Provenance via Context-Aware Lexical Substitution

no code implementations15 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.

Optical Character Recognition (OCR)

A Study of Social and Behavioral Determinants of Health in Lung Cancer Patients Using Transformers-based Natural Language Processing Models

no code implementations10 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).

Clinical Relation Extraction Using Transformer-based Models

1 code implementation19 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.

Binary Classification Classification +2

Parts2Words: Learning Joint Embedding of Point Clouds and Texts by Bidirectional Matching between Parts and Words

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.

Retrieval Text Matching

Sketch-based Normal Map Generation with Geometric Sampling

no code implementations23 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.

Brain Surface Reconstruction from MRI Images Based on Segmentation Networks Applying Signed Distance Maps

no code implementations9 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.

Anomaly Detection Skull Stripping +1

Measure of Strength of Evidence for Visually Observed Differences between Subpopulations

1 code implementation2 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.

Syncretic Modality Collaborative Learning for Visible Infrared Person Re-Identification

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.

Person Re-Identification

Real-World Video Super-Resolution: A Benchmark Dataset and a Decomposition Based Learning Scheme

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).

Video Super-Resolution

Sparse Array of Sub-surface Aided Anti-blockage mmWave Communication Systems

no code implementations3 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

Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series Prediction

1 code implementation26 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.

Time Series Time Series Prediction

Towards Dynamic Urban Bike Usage Prediction for Station Network Reconfiguration

no code implementations13 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).

Improved Preterm Prediction Based on Optimized Synthetic Sampling of EHG Signal

no code implementations3 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.

A Two-step Surface-based 3D Deep Learning Pipeline for Segmentation of Intracranial Aneurysms

no code implementations29 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.

Medical Diagnosis Segmentation

Underwater image enhancement with Image Colorfulness Measure

no code implementations18 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.

Image Enhancement

Deep Learning-based CSI Feedback and Cooperative Recovery in Massive MIMO

no code implementations6 Mar 2020 Jiajia Guo, Xi Yang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li

In this paper, the correlation between nearby user equipment (UE) is exploited, and a deep learning-based channel state information (CSI) feedback and cooperative recovery framework, CoCsiNet, is developed to reduce feedback overhead.

Information Theory Signal Processing Information Theory

IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning

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.

General Classification Segmentation +1

G2MF-WA: Geometric Multi-Model Fitting with Weakly Annotated Data

no code implementations20 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.

Homography Estimation

Identifying Cancer Patients at Risk for Heart Failure Using Machine Learning Methods

no code implementations1 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.

BIG-bench Machine Learning Specificity

G-SMOTE: A GMM-based synthetic minority oversampling technique for imbalanced learning

no code implementations24 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.

Saliency deep embedding for aurora image search

no code implementations23 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.

Image Retrieval Region Proposal

Cannot find the paper you are looking for? You can Submit a new open access paper.