Search Results for author: Yi Lin

Found 48 papers, 18 papers with code

LocMoE: A Low-overhead MoE for Large Language Model Training

no code implementations25 Jan 2024 Jing Li, Zhijie Sun, Xuan He, Li Zeng, Yi Lin, Entong Li, Binfan Zheng, Rongqian Zhao, Xin Chen

However, the performance of MoE is limited by load imbalance and high latency of All-To-All communication, along with relatively redundant computation owing to large expert capacity.

Language Modelling Large Language Model

BoNuS: Boundary Mining for Nuclei Segmentation with Partial Point Labels

1 code implementation15 Jan 2024 Yi Lin, Zeyu Wang, Dong Zhang, Kwang-Ting Cheng, Hao Chen

To alleviate this problem, in this paper, we propose a weakly-supervised nuclei segmentation method that only requires partial point labels of nuclei.

Multiple Instance Learning Segmentation

ROSE: A Recognition-Oriented Speech Enhancement Framework in Air Traffic Control Using Multi-Objective Learning

no code implementations11 Dec 2023 Xincheng Yu, Dongyue Guo, Jianwei Zhang, Yi Lin

Radio speech echo is a specific phenomenon in the air traffic control (ATC) domain, which degrades speech quality and further impacts automatic speech recognition (ASR) accuracy.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Adversarial Medical Image with Hierarchical Feature Hiding

1 code implementation4 Dec 2023 Qingsong Yao, Zecheng He, Yuexiang Li, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou

Interestingly, this vulnerability is a double-edged sword, which can be exploited to hide AEs.

Decision Making

WinNet:time series forecasting with a window-enhanced period extracting and interacting

no code implementations1 Nov 2023 Wenjie Ou, Dongyue Guo, Zheng Zhang, Zhishuo Zhao, Yi Lin

We present a highly accurate and simply structured CNN-based model for long-term time series forecasting tasks, called WinNet, including (i) Inter-Intra Period Encoder (I2PE) to transform 1D sequence into 2D tensor with long and short periodicity according to the predefined periodic window, (ii) Two-Dimensional Period Decomposition (TDPD) to model period-trend and oscillation terms, and (iii) Decomposition Correlation Block (DCB) to leverage the correlations of the period-trend and oscillation terms to support the prediction tasks by CNNs.

Time Series Time Series Forecasting

DED: Diagnostic Evidence Distillation for acne severity grading on face images

1 code implementation Expert Systems with Applications 2023 Yi Lin, Jingchi Jiang, Dongxin Chen, Zhaoyang Ma, Yi Guan, Xiguang Liu, Haiyan You, Jing Yang

In this study, we propose an acne diagnosis method, Diagnostic Evidence Distillation (DED), that suitably adapts the characteristics of acne diagnosis and can be applied to diagnose under different acne criteria.

 Ranked #1 on Acne Severity Grading on ACNE04 (Accuracy metric)

Acne Severity Grading Image Classification +2

Tracking Anything in Heart All at Once

no code implementations4 Oct 2023 Chengkang Shen, Hao Zhu, You Zhou, Yu Liu, Si Yi, Lili Dong, Weipeng Zhao, David J. Brady, Xun Cao, Zhan Ma, Yi Lin

Myocardial motion tracking stands as an essential clinical tool in the prevention and detection of Cardiovascular Diseases (CVDs), the foremost cause of death globally.

Motion Estimation

Penalties and Rewards for Fair Learning in Paired Kidney Exchange Programs

no code implementations23 Sep 2023 Margarida Carvalho, Alison Caulfield, Yi Lin, Adrian Vetta

Rather, the key factor in increasing the number of transplants, decreasing waiting times and improving group fairness is the judicious assignment of a negative weight (penalty) to the small number of non-directed donors in the kidney exchange program.

Fairness

Bi-Modality Medical Image Synthesis Using Semi-Supervised Sequential Generative Adversarial Networks

no code implementations27 Aug 2023 Xin Yang, Yi Lin, Zhiwei Wang, Xin Li, Kwang-Ting Cheng

A method for measuring the synthesis complexity is proposed to automatically determine the synthesis order in our sequential GAN.

Generative Adversarial Network Image Generation

PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation

1 code implementation24 Aug 2023 Haibo Jin, Haoxuan Che, Yi Lin, Hao Chen

To address these challenges, we propose diagnosis-driven prompts for medical report generation (PromptMRG), a novel framework that aims to improve the diagnostic accuracy of MRG with the guidance of diagnosis-aware prompts.

Medical Report Generation

SIA-FTP: A Spoken Instruction Aware Flight Trajectory Prediction Framework

no code implementations2 May 2023 Dongyue Guo, Jianwei Zhang, Yi Lin

A major reason is that spoken instructions and flight trajectories are presented in different modalities in the current air traffic control (ATC) system, bringing great challenges to considering the maneuvering instruction in the FTP tasks.

Trajectory Prediction

FlightBERT++: A Non-autoregressive Multi-Horizon Flight Trajectory Prediction Framework

no code implementations2 May 2023 Dongyue Guo, Zheng Zhang, Zhen Yan, Jianwei Zhang, Yi Lin

Flight Trajectory Prediction (FTP) is an essential task in Air Traffic Control (ATC), which can assist air traffic controllers in managing airspace more safely and efficiently.

Computational Efficiency Trajectory Prediction

Disorder-invariant Implicit Neural Representation

no code implementations3 Apr 2023 Hao Zhu, Shaowen Xie, Zhen Liu, Fengyi Liu, Qi Zhang, You Zhou, Yi Lin, Zhan Ma, Xun Cao

However, the expressive power of INR is limited by the spectral bias in the network training.

Attribute Retrieval

Few Shot Medical Image Segmentation with Cross Attention Transformer

1 code implementation24 Mar 2023 Yi Lin, Yufan Chen, Kwang-Ting Cheng, Hao Chen

Our proposed network mines the correlations between the support image and query image, limiting them to focus only on useful foreground information and boosting the representation capacity of both the support prototype and query features.

Few-Shot Learning Image Segmentation +3

Boosting Convolution with Efficient MLP-Permutation for Volumetric Medical Image Segmentation

no code implementations23 Mar 2023 Yi Lin, Xiao Fang, Dong Zhang, Kwang-Ting Cheng, Hao Chen

Recently, the advent of vision Transformer (ViT) has brought substantial advancements in 3D dataset benchmarks, particularly in 3D volumetric medical image segmentation (Vol-MedSeg).

Image Segmentation Semantic Segmentation +1

Label-Efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions

no code implementations22 Mar 2023 Cheng Jin, Zhengrui Guo, Yi Lin, Luyang Luo, Hao Chen

Thus, label-efficient deep learning methods are developed to make comprehensive use of the labeled data as well as the abundance of unlabeled and weak-labeled data.

Learning a Room with the Occ-SDF Hybrid: Signed Distance Function Mingled with Occupancy Aids Scene Representation

1 code implementation ICCV 2023 Xiaoyang Lyu, Peng Dai, Zizhang Li, Dongyu Yan, Yi Lin, Yifan Peng, Xiaojuan Qi

We found that the color rendering loss results in optimization bias against low-intensity areas, causing gradient vanishing and leaving these areas unoptimized.

Neural Rendering Surface Reconstruction

Knowledge Transfer via Multi-Head Feature Adaptation for Whole Slide Image Classification

no code implementations10 Mar 2023 Conghao Xiong, Yi Lin, Hao Chen, Joseph Sung, Irwin King

Transferring prior knowledge from a source domain to the same or similar target domain can greatly enhance the performance of models on the target domain.

Classification Image Classification +1

Parallel Computing Based Solution for Reliability-Constrained Distribution Network Planning

no code implementations9 Mar 2023 Yaqi Sun, Wenchuan Wu, Yi Lin, Hai Huang, Hao Chen

The main goal of distribution network (DN) expansion planning is essentially to achieve minimal investment constrained with specified reliability requirements.

Efficient Implicit Neural Reconstruction Using LiDAR

no code implementations28 Feb 2023 Dongyu Yan, Xiaoyang Lyu, Jieqi Shi, Yi Lin

Modeling scene geometry using implicit neural representation has revealed its advantages in accuracy, flexibility, and low memory usage.

3D Reconstruction

Explainable and Safe Reinforcement Learning for Autonomous Air Mobility

1 code implementation24 Nov 2022 Lei Wang, Hongyu Yang, Yi Lin, Suwan Yin, Yuankai Wu

Although DRL has achieved important advancements in this field, the existing works pay little attention to the explainability and safety issues related to DRL controllers, particularly the safety under adversarial attacks.

Adversarial Attack Q-Learning +3

Understanding the Tricks of Deep Learning in Medical Image Segmentation: Challenges and Future Directions

1 code implementation21 Sep 2022 Dong Zhang, Yi Lin, Hao Chen, Zhuotao Tian, Xin Yang, Jinhui Tang, Kwang Ting Cheng

Over the past few years, the rapid development of deep learning technologies for computer vision has significantly improved the performance of medical image segmentation (MedISeg).

Data Augmentation Domain Adaptation +3

Seg4Reg+: Consistency Learning between Spine Segmentation and Cobb Angle Regression

no code implementations26 Aug 2022 Yi Lin, Luyan Liu, Kai Ma, Yefeng Zheng

In this study, we propose a novel multi-task framework, named Seg4Reg+, which jointly optimizes the segmentation and regression networks.

Image Segmentation regression +3

Spatiotemporal Propagation Learning for Network-Wide Flight Delay Prediction

1 code implementation14 Jul 2022 Yuankai Wu, Hongyu Yang, Yi Lin, Hong Liu

By this means, STPN allows cross-talk of spatial and temporal factors for modeling delay propagation.

Decision Making Time Series Analysis

Accurate Scoliosis Vertebral Landmark Localization on X-ray Images via Shape-constrained Multi-stage Cascaded CNNs

no code implementations5 Jun 2022 Zhiwei Wang, Jinxin Lv, Yunqiao Yang, Yuanhuai Liang, Yi Lin, Qiang Li, Xin Li, Xin Yang

Vertebral landmark localization is a crucial step for variant spine-related clinical applications, which requires detecting the corner points of 17 vertebrae.

Nuclei Segmentation with Point Annotations from Pathology Images via Self-Supervised Learning and Co-Training

1 code implementation16 Feb 2022 Yi Lin, Zhiyong Qu, Hao Chen, Zhongke Gao, Yuexiang Li, Lili Xia, Kai Ma, Yefeng Zheng, Kwang-Ting Cheng

Third, a self-supervised visual representation learning method is tailored for nuclei segmentation of pathology images that transforms the hematoxylin component images into the H&E stained images to gain better understanding of the relationship between the nuclei and cytoplasm.

Representation Learning Segmentation +2

Deep Learning for Computational Cytology: A Survey

no code implementations10 Feb 2022 Hao Jiang, Yanning Zhou, Yi Lin, Ronald CK Chan, Jiang Liu, Hao Chen

Computational cytology is a critical, rapid-developing, yet challenging topic in the field of medical image computing which analyzes the digitized cytology image by computer-aided technologies for cancer screening.

Transfer Learning

An Acne Grading Framework on Face Images via Skin Attention and SFNet

no code implementations IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2022 Yi Lin, Yi Guan, Zhaoyang Ma, Haiyan You, Xue Cheng, Jingchi Jiang

In this paper, the global estimation of acne severity grading is studied by Convolutional Neural Networks (CNNs) and a unified acne grading framework that can diagnose referring to different grading criteria is proposed.

Ranked #3 on Acne Severity Grading on ACNE04 (Accuracy metric)

Acne Severity Grading

A Benchmark for Modeling Violation-of-Expectation in Physical Reasoning Across Event Categories

no code implementations16 Nov 2021 Arijit Dasgupta, Jiafei Duan, Marcelo H. Ang Jr, Yi Lin, Su-hua Wang, Renée Baillargeon, Cheston Tan

Recent work in computer vision and cognitive reasoning has given rise to an increasing adoption of the Violation-of-Expectation (VoE) paradigm in synthetic datasets.

Automated Pulmonary Embolism Detection from CTPA Images Using an End-to-End Convolutional Neural Network

no code implementations10 Nov 2021 Yi Lin, Jianchao Su, Xiang Wang, Xiang Li, Jingen Liu, Kwang-Ting Cheng, Xin Yang

We have evaluated our approach using the 20 CTPA test dataset from the PE challenge, achieving a sensitivity of 78. 9%, 80. 7% and 80. 7% at 2 false positives per volume at 0mm, 2mm and 5mm localization error, which is superior to the state-of-the-art methods.

Pulmonary Embolism Detection

Speech recognition for air traffic control via feature learning and end-to-end training

no code implementations4 Nov 2021 Peng Fan, Dongyue Guo, Yi Lin, Bo Yang, Jianwei Zhang

In this work, we propose a new automatic speech recognition (ASR) system based on feature learning and an end-to-end training procedure for air traffic control (ATC) systems.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

A Comparative Study of Speaker Role Identification in Air Traffic Communication Using Deep Learning Approaches

no code implementations3 Nov 2021 Dongyue Guo, Jianwei Zhang, Bo Yang, Yi Lin

Most importantly, a multi-modal speaker role identification network (MMSRINet) is designed to achieve the SRI task by considering both the speech and textual modality features.

Binary Classification

LENAS: Learning-based Neural Architecture Search and Ensemble for 3D Radiotherapy Dose Prediction

no code implementations12 Jun 2021 Yi Lin, Yanfei Liu, Hao Chen, Xin Yang, Kai Ma, Yefeng Zheng, Kwang-Ting Cheng

To the best of our knowledge, this is the first attempt to investigate NAS and knowledge distillation in ensemble learning, especially in the field of medical image analysis.

Ensemble Learning Knowledge Distillation +1

ATCSpeechNet: A multilingual end-to-end speech recognition framework for air traffic control systems

no code implementations17 Feb 2021 Yi Lin, Bo Yang, Linchao Li, Dongyue Guo, Jianwei Zhang, Hu Chen, Yi Zhang

Finally, by integrating the SRL with ASR, an end-to-end multilingual ASR framework is formulated in a supervised manner, which is able to translate the raw wave into text in one model, i. e., wave-to-text.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

Improving speech recognition models with small samples for air traffic control systems

no code implementations16 Feb 2021 Yi Lin, Qin Li, Bo Yang, Zhen Yan, Huachun Tan, Zhengmao Chen

By virtue of the common terminology used in the ATC domain, the transfer learning task can be regarded as a sub-domain adaption task, in which the transferred model is optimized using a joint corpus consisting of baseline samples and new transcribed samples from the target dataset.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks

1 code implementation17 Dec 2020 Qingsong Yao, Zecheng He, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou

Deep neural networks (DNNs) for medical images are extremely vulnerable to adversarial examples (AEs), which poses security concerns on clinical decision making.

Adversarial Attack Decision Making

STELA: A Real-Time Scene Text Detector with Learned Anchor

1 code implementation17 Sep 2019 Linjie Deng, Yanxiang Gong, Xinchen Lu, Yi Lin, Zheng Ma, Mei Xie

To achieve high coverage of target boxes, a normal strategy of conventional one-stage anchor-based detectors is to utilize multiple priors at each spatial position, especially in scene text detection tasks.

Scene Text Detection Text Detection

Semi-supervised mp-MRI Data Synthesis with StitchLayer and Auxiliary Distance Maximization

no code implementations17 Dec 2018 Zhiwei Wang, Yi Lin, Kwang-Ting Cheng, Xin Yang

Experimental results show that our method can effectively synthesize a large variety of mpMRI images which contain meaningful CS PCa lesions, display a good visual quality and have the correct paired relationship.

Synthesizing Multi-Parameter Magnetic Resonance Imaging (Mp-Mri) Data

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