Search Results for author: Lin Yang

Found 68 papers, 5 papers with code

Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation

no code implementations10 Jul 2021 Hao Zheng, Jun Han, Hongxiao Wang, Lin Yang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen

Unlike the current literature on task-specific self-supervised pretraining followed by supervised fine-tuning, we utilize SSL to learn task-agnostic knowledge from heterogeneous data for various medical image segmentation tasks.

Medical Image Segmentation Representation Learning +1

Generalizing Nucleus Recognition Model in Multi-source Images via Pruning

no code implementations6 Jul 2021 Jiatong Cai, Chenglu Zhu, Can Cui, Honglin Li, Tong Wu, Shichuan Zhang, Lin Yang

In addition, the model is optimized by fine-tuning on merged domains to eliminate the interference of class mismatching among various domains.

Domain Generalization

A comparative study of neural network techniques for automatic software vulnerability detection

no code implementations29 Apr 2021 Gaigai Tang, Lianxiao Meng, Shuangyin Ren, Weipeng Cao, Qiang Wang, Lin Yang

To solve this problem, we have conducted extensive experiments to test the performance of the two most typical neural networks (i. e., Bi-LSTM and RVFL) with the two most classical data preprocessing methods (i. e., the vector representation and the program symbolization methods) on software vulnerability detection problems and obtained a series of interesting research conclusions, which can provide valuable guidelines for researchers and engineers.

Vulnerability Detection

TransfoRNN: Capturing the Sequential Information in Self-Attention Representations for Language Modeling

no code implementations4 Apr 2021 Tze Yuang Chong, Xuyang Wang, Lin Yang, Junjie Wang

Also, the TransfoRNN model was applied on the LibriSpeech speech recognition task and has shown comparable results with the Transformer models.

Language Modelling Speech Recognition

Hydrophobic interaction determines docking affinity of SARS CoV 2 variants with antibodies

no code implementations28 Feb 2021 Jiacheng Li, Chengyu Hou, Menghao Wang, Chencheng Liao, Shuai Guo, Liping Shi, Xiaoliang Ma, Hongchi Zhang, Shenda Jiang, Bing Zheng, Lin Ye, Lin Yang, Xiaodong He

Preliminary epidemiologic, phylogenetic and clinical findings suggest that several novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants have increased transmissibility and decreased efficacy of several existing vaccines.

Denoising Single Voxel Magnetic Resonance Spectroscopy with Deep Learning on Repeatedly Sampled In Vivo Data

no code implementations26 Jan 2021 Wanqi Hu, Dicheng Chen, Tianyu Qiu, Hao Chen, Xi Chen, Lin Yang, Gen Yan, Di Guo, Xiaobo Qu

Methods: By exploring the multiple sampled data, a deep learning denoising approach is proposed to learn a mapping from the low SNR signal to the high SNR one.


Correction to the photometric magnitudes of the Gaia Early Data Release 3

no code implementations4 Jan 2021 Lin Yang, HaiBo Yuan, Ruoyi Zhang, Zexi Niu, Yang Huang, Fuqing Duan, Yi Fang

In this letter, we have carried out an independent validation of the Gaia EDR3 photometry using about 10, 000 Landolt standard stars from Clem & Landolt (2013).

Solar and Stellar Astrophysics Astrophysics of Galaxies

Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation

no code implementations17 Dec 2020 Hongxiao Wang, Hao Zheng, Jianxu Chen, Lin Yang, Yizhe Zhang, Danny Z. Chen

Second, we devise an effective data selection policy for judiciously sampling the generated images: (1) to make the generated training set better cover the dataset, the clusters that are underrepresented in the original training set are covered more; (2) to make the training process more effective, we identify and oversample the images of "hard cases" in the data for which annotated training data may be scarce.

Image Generation Semantic Segmentation

Is Long Horizon RL More Difficult Than Short Horizon RL?

no code implementations NeurIPS 2020 Ruosong Wang, Simon S. Du, Lin Yang, Sham Kakade

In a COLT 2018 open problem, Jiang and Agarwal conjectured that, for tabular, episodic reinforcement learning problems, there exists a sample complexity lower bound which exhibits a polynomial dependence on the horizon --- a conjecture which is consistent with all known sample complexity upper bounds.

Adversarial Bandits with Corruptions: Regret Lower Bound and No-regret Algorithm

no code implementations NeurIPS 2020 Lin Yang, Mohammad Hajiesmaili, Mohammad Sadegh Talebi, John C. S. Lui, Wing Shing Wong

We characterize the regret of ExpRb as a function of the corruption budget and show that for the case of a known corruption budget, the regret of ExpRb is tight.

Planning with General Objective Functions: Going Beyond Total Rewards

no code implementations NeurIPS 2020 Ruosong Wang, Peilin Zhong, Simon S. Du, Russ R. Salakhutdinov, Lin Yang

Standard sequential decision-making paradigms aim to maximize the cumulative reward when interacting with the unknown environment., i. e., maximize $\sum_{h = 1}^H r_h$ where $H$ is the planning horizon.

Decision Making

A Thermodynamics Model for Mechanochemical Synthesis of Gold Nanoparticles: Implications for Solvent-free Nanoparticle Production

no code implementations25 Nov 2020 Lin Yang, Audrey Moores, Tomislav Friščić, Nikolas Provatas

Mechanochemistry is becoming an established method for the sustainable, solid-phase synthesis of scores of nano-materials and molecules, ranging from active pharmaceutical ingredients to materials for cleantech.

Chemical Physics

SuperOCR: A Conversion from Optical Character Recognition to Image Captioning

no code implementations21 Nov 2020 Baohua Sun, Michael Lin, Hao Sha, Lin Yang

The existing methods normally detect where the characters are, and then recognize the character for each detected location.

Image Captioning License Plate Recognition +1

A hydrophobic-interaction-based mechanism trigger docking between the SARS CoV 2 spike and angiotensin-converting enzyme 2

no code implementations27 Aug 2020 Jiacheng Li, Xiaoliang Ma, Shuai Guo, Chengyu Hou, Liping Shi, Hongchi Zhang, Bing Zheng, Chencheng Liao, Lin Yang, Lin Ye, Xiaodong He

The hydrophobic interaction between the SARS-CoV-2 S and ACE2 protein is found to be significantly greater than that between SARS-CoV S and ACE2.

Mask Detection and Breath Monitoring from Speech: on Data Augmentation, Feature Representation and Modeling

no code implementations12 Aug 2020 Haiwei Wu, Lin Zhang, Lin Yang, Xuyang Wang, Jun-Jie Wang, Dong Zhang, Ming Li

This paper introduces our approaches for the Mask and Breathing Sub-Challenge in the Interspeech COMPARE Challenge 2020.

Data Augmentation

Nearly Linear Row Sampling Algorithm for Quantile Regression

no code implementations ICML 2020 Yi Li, Ruosong Wang, Lin Yang, Hanrui Zhang

We give a row sampling algorithm for the quantile loss function with sample complexity nearly linear in the dimensionality of the data, improving upon the previous best algorithm whose sampling complexity has at least cubic dependence on the dimensionality.

Acoustic Word Embedding System for Code-Switching Query-by-example Spoken Term Detection

no code implementations24 May 2020 Murong Ma, Haiwei Wu, Xuyang Wang, Lin Yang, Jun-Jie Wang, Ming Li

In this paper, we propose a deep convolutional neural network-based acoustic word embedding system on code-switching query by example spoken term detection.

Word Embeddings

DIHARD II is Still Hard: Experimental Results and Discussions from the DKU-LENOVO Team

no code implementations23 Feb 2020 Qingjian Lin, Weicheng Cai, Lin Yang, Jun-Jie Wang, Jun Zhang, Ming Li

Our diarization system includes multiple modules, namely voice activity detection (VAD), segmentation, speaker embedding extraction, similarity scoring, clustering, resegmentation and overlap detection.

Action Detection Activity Detection

Lesion Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale

1 code implementation21 Jan 2020 Jinzheng Cai, Adam P. Harrison, Youjing Zheng, Ke Yan, Yuankai Huo, Jing Xiao, Lin Yang, Le Lu

This is the goal of our work, where we develop a powerful system to harvest missing lesions from the DeepLesion dataset at high precision.

End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation

no code implementations15 Oct 2019 Jinzheng Cai, Yingda Xia, Dong Yang, Daguang Xu, Lin Yang, Holger Roth

However, it is challenging to train the conventional CNN-based segmentation models that aware of the shape and topology of organs.

Pancreas Segmentation

SuperCaptioning: Image Captioning Using Two-dimensional Word Embedding

no code implementations25 May 2019 Baohua Sun, Lin Yang, Michael Lin, Charles Young, Patrick Dong, Wenhan Zhang, Jason Dong

In this paper, we propose the SuperCaptioning method, which borrows the idea of two-dimensional word embedding from Super Characters method, and processes the information of language and vision together in one single CNN model.

Classification General Classification +3

SuperChat: Dialogue Generation by Transfer Learning from Vision to Language using Two-dimensional Word Embedding and Pretrained ImageNet CNN Models

no code implementations7 May 2019 Baohua Sun, Lin Yang, Michael Lin, Charles Young, Jason Dong, Wenhan Zhang, Patrick Dong

The recent work of Super Characters method using two-dimensional word embedding achieved state-of-the-art results in text classification tasks, showcasing the promise of this new approach.

Dialogue Generation General Classification +2

SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation

no code implementations28 Feb 2019 Yizhe Zhang, Lin Yang, Hao Zheng, Peixian Liang, Colleen Mangold, Raquel G. Loreto, David. P. Hughes, Danny Z. Chen

To better mimic human visual perception, we think it is desirable for the deep learning model to be able to perceive not only raw images but also SP images.

Data Augmentation Semantic Segmentation

Squared English Word: A Method of Generating Glyph to Use Super Characters for Sentiment Analysis

no code implementations24 Jan 2019 Baohua Sun, Lin Yang, Catherine Chi, Wenhan Zhang, Michael Lin

The Super Characters method addresses sentiment analysis problems by first converting the input text into images and then applying 2D-CNN models to classify the sentiment.

General Classification Sentiment Analysis

Cascade Decoder: A Universal Decoding Method for Biomedical Image Segmentation

no code implementations15 Jan 2019 Peixian Liang, Jianxu Chen, Hao Zheng, Lin Yang, Yizhe Zhang, Danny Z. Chen

The cascade decoder structure aims to conduct more effective decoding of hierarchically encoded features and is more compatible with common encoders than the known decoders.

Semantic Segmentation

A New Ensemble Learning Framework for 3D Biomedical Image Segmentation

1 code implementation10 Dec 2018 Hao Zheng, Yizhe Zhang, Lin Yang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen

In this paper, we propose a new ensemble learning framework for 3D biomedical image segmentation that combines the merits of 2D and 3D models.

3D Medical Imaging Segmentation Ensemble Learning +1

Near-Optimal Time and Sample Complexities for Solving Markov Decision Processes with a Generative Model

no code implementations NeurIPS 2018 Aaron Sidford, Mengdi Wang, Xian Wu, Lin Yang, Yinyu Ye

In this paper we consider the problem of computing an $\epsilon$-optimal policy of a discounted Markov Decision Process (DMDP) provided we can only access its transition function through a generative sampling model that given any state-action pair samples from the transition function in $O(1)$ time.

CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement

no code implementations18 Jul 2018 Youbao Tang, Jinzheng Cai, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers

The first GAN reduces the noise in the CT image and the second GAN generates a higher resolution image with enhanced boundaries and high contrast.

Computed Tomography (CT) Image Enhancement +2

Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays

no code implementations3 Jul 2018 Jinzheng Cai, Le Lu, Adam P. Harrison, Xiaoshuang Shi, Pingjun Chen, Lin Yang

Given image labels as the only supervisory signal, we focus on harvesting, or mining, thoracic disease localizations from chest X-ray images.

General Classification Image Classification

Deep Learning Based Instance Segmentation in 3D Biomedical Images Using Weak Annotation

no code implementations28 Jun 2018 Zhuo Zhao, Lin Yang, Hao Zheng, Ian H. Guldner, Si-Yuan Zhang, Danny Z. Chen

Our approach needs only 3D bounding boxes for all instances and full voxel annotation for a small fraction of the instances, and uses a novel two-stage 3D instance segmentation model utilizing these two kinds of annotation, respectively.

3D Instance Segmentation Semantic Segmentation

Ultra Power-Efficient CNN Domain Specific Accelerator with 9.3TOPS/Watt for Mobile and Embedded Applications

no code implementations30 Apr 2018 Baohua Sun, Lin Yang, Patrick Dong, Wenhan Zhang, Jason Dong, Charles Young

Furthermore, in order to better support real-world deployment for various application scenarios, especially with low-end mobile and embedded platforms and MCUs (Microcontroller Units), we also designed algorithms to fully utilize the CNN-DSA accelerator efficiently by reducing the dependency on external accelerator computation resources, including implementation of Fully-Connected (FC) layers within the accelerator and compression of extracted features from the CNN-DSA accelerator.

Pancreas Segmentation in CT and MRI Images via Domain Specific Network Designing and Recurrent Neural Contextual Learning

no code implementations30 Mar 2018 Jinzheng Cai, Le Lu, Fuyong Xing, Lin Yang

Automatic pancreas segmentation in radiology images, eg., computed tomography (CT) and magnetic resonance imaging (MRI), is frequently required by computer-aided screening, diagnosis, and quantitative assessment.

Computed Tomography (CT) Pancreas Segmentation

Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation

no code implementations CVPR 2018 Xiaowei Xu, Qing Lu, Yu Hu, Lin Yang, Sharon Hu, Danny Chen, Yiyu Shi

Unlike existing litera- ture on quantization which primarily targets memory and computation complexity reduction, we apply quan- tization as a method to reduce over tting in FCNs for better accuracy.

Quantization Semantic Segmentation

Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization

no code implementations NeurIPS 2018 Minshuo Chen, Lin Yang, Mengdi Wang, Tuo Zhao

Specifically, our goal is to estimate the principle component of time series data with respect to the covariance matrix of the stationary distribution.

Dimensionality Reduction Stochastic Optimization +1

Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network

no code implementations CVPR 2018 Zizhao Zhang, Lin Yang, Yefeng Zheng

In this work, we propose a generic cross-modality synthesis approach with the following targets: 1) synthesizing realistic looking 3D images using unpaired training data, 2) ensuring consistent anatomical structures, which could be changed by geometric distortion in cross-modality synthesis and 3) improving volume segmentation by using synthetic data for modalities with limited training samples.

Computed Tomography (CT) Image Generation +1

Photographic Text-to-Image Synthesis with a Hierarchically-nested Adversarial Network

1 code implementation CVPR 2018 Zizhao Zhang, Yuanpu Xie, Lin Yang

This paper presents a novel method to deal with the challenging task of generating photographic images conditioned on semantic image descriptions.

Image Generation Semantic Similarity +1

A New Registration Approach for Dynamic Analysis of Calcium Signals in Organs

no code implementations1 Feb 2018 Peixian Liang, Jianxu Chen, Pavel A. Brodskiy, Qinfeng Wu, Yejia Zhang, Yizhe Zhang, Lin Yang, Jeremiah J. Zartman, Danny Z. Chen

A key to analyzing spatial-temporal patterns of $Ca^{2+}$ signal waves is to accurately align the pouches across image sequences.

Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Self-Paced 3D Mask Generation from RECIST

no code implementations25 Jan 2018 Jinzheng Cai, You-Bao Tang, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers

Toward this end, we introduce a convolutional neural network based weakly supervised self-paced segmentation (WSSS) method to 1) generate the initial lesion segmentation on the axial RECIST-slice; 2) learn the data distribution on RECIST-slices; 3) adapt to segment the whole volume slice by slice to finally obtain a volumetric segmentation.

Lesion Segmentation Super-Resolution

Recursive Exponential Weighting for Online Non-convex Optimization

no code implementations13 Sep 2017 Lin Yang, Cheng Tan, Wing Shing Wong

In this paper, we investigate the online non-convex optimization problem which generalizes the classic {online convex optimization problem by relaxing the convexity assumption on the cost function.

Uncertainty measurement with belief entropy on interference effect in Quantum-Like Bayesian Networks

no code implementations8 Sep 2017 Zhiming Huang, Lin Yang, Wen Jiang

Social dilemmas have been regarded as the essence of evolution game theory, in which the prisoner's dilemma game is the most famous metaphor for the problem of cooperation.

Overcoming the time limitation in Molecular Dynamics simulation of crystal nucleation: a persistent-embryo approach

no code implementations31 Aug 2017 Yang Sun, Huajing Song, Feng Zhang, Lin Yang, Zhuo Ye, Mikhail I. Mendelev, Cai-Zhuang Wang, Kai-Ming Ho

The crystal nucleation from liquid in most cases is too rare to be accessed within the limited timescales of the conventional molecular dynamics (MD) simulation.

Materials Science Soft Condensed Matter

Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection

no code implementations24 Aug 2017 Zizhao Zhang, Fuyong Xing, Hai Su, Xiaoshuang Shi, Lin Yang

Then we review their recent applications in medical image analysis and point out limitations, with the goal to light some potential directions in medical image analysis.

Contour Detection

TandemNet: Distilling Knowledge from Medical Images Using Diagnostic Reports as Optional Semantic References

no code implementations10 Aug 2017 Zizhao Zhang, Pingjun Chen, Manish Sapkota, Lin Yang

In this paper, we introduce the semantic knowledge of medical images from their diagnostic reports to provide an inspirational network training and an interpretable prediction mechanism with our proposed novel multimodal neural network, namely TandemNet.

Language Modelling

Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function

no code implementations16 Jul 2017 Jinzheng Cai, Le Lu, Yuanpu Xie, Fuyong Xing, Lin Yang

The output layer of this network module is then connected to recurrent layers and can be fine-tuned for contextual learning, in an end-to-end manner.

Pancreas Segmentation

MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network

no code implementations CVPR 2017 Zizhao Zhang, Yuanpu Xie, Fuyong Xing, Mason McGough, Lin Yang

In this paper, we propose MDNet to establish a direct multimodal mapping between medical images and diagnostic reports that can read images, generate diagnostic reports, retrieve images by symptom descriptions, and visualize attention, to provide justifications of the network diagnosis process.

Language Modelling

Microscopic Muscle Image Enhancement

no code implementations17 Dec 2016 Xiangfei Kong, Lin Yang

Ring artifacts problems are addressed and a kernel propagation strategy is proposed to speedup the algorithm and deals with the high non-uniformity of the blur kernels on muscle images.

Deblurring Image Deconvolution +1

SemiContour: A Semi-supervised Learning Approach for Contour Detection

no code implementations CVPR 2016 Zizhao Zhang, Fuyong Xing, Xiaoshuang Shi, Lin Yang

In this paper, we investigate the usage of semi-supervised learning (SSL) to obtain competitive detection accuracy with very limited training data (three labeled images).

BSDS500 Contour Detection +1

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