b'Cheng Li'

research

∙ 04/18/2023

Understand Data Preprocessing for Effective End-to-End Training of Deep Neural Networks

In this paper, we primarily focus on understanding the data preprocessin...

0 Ping Gong, et al. ∙

research

∙ 04/12/2023

Few-shot Class-incremental Learning for Cross-domain Disease Classification

The ability to incrementally learn new classes from limited samples is c...

0 Hao Yang, et al. ∙

research

∙ 03/15/2023

A Comprehensive Study on Post-Training Quantization for Large Language Models

Post-training quantization () had been recently shown as a compromising ...

0 Zhewei Yao, et al. ∙

research

∙ 01/27/2023

Understanding INT4 Quantization for Transformer Models: Latency Speedup, Composability, and Failure Cases

Improving the deployment efficiency of transformer-based language models...

0 Xiaoxia Wu, et al. ∙

research

∙ 01/21/2023

SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction

With the growing model size, deep neural networks (DNN) are increasingly...

5 Zhiqi Lin, et al. ∙

research

∙ 12/18/2022

Pigeonhole Stochastic Gradient Langevin Dynamics for Large Crossed Mixed Effects Models

Large crossed mixed effects models with imbalanced structures and missin...

0 Xinyu Zhang, et al. ∙

research

∙ 11/27/2022

Radial Neighbors for Provably Accurate Scalable Approximations of Gaussian Processes

In geostatistical problems with massive sample size, Gaussian processes ...

0 Yichen Zhu, et al. ∙

research

∙ 11/24/2022

Convergence Analysis of Stochastic Kriging-Assisted Simulation with Random Covariates

We consider performing simulation experiments in the presence of covaria...

0 Cheng Li, et al. ∙

research

∙ 11/24/2022

Iterative Data Refinement for Self-Supervised MR Image Reconstruction

Magnetic Resonance Imaging (MRI) has become an important technique in th...

0 Xue Liu, et al. ∙

research

∙ 11/17/2022

Random-LTD: Random and Layerwise Token Dropping Brings Efficient Training for Large-scale Transformers

Large-scale transformer models have become the de-facto architectures fo...

0 Zhewei Yao, et al. ∙

research

∙ 11/16/2022

Semi-Supervised and Self-Supervised Collaborative Learning for Prostate 3D MR Image Segmentation

Volumetric magnetic resonance (MR) image segmentation plays an important...

0 Yousuf Babiker M. Osman, et al. ∙

research

∙ 11/16/2022

Uncertainty-Aware Multi-Parametric Magnetic Resonance Image Information Fusion for 3D Object Segmentation

Multi-parametric magnetic resonance (MR) imaging is an indispensable too...

0 Cheng Li, et al. ∙

research

∙ 11/15/2022

DIGEST: Deeply supervIsed knowledGE tranSfer neTwork learning for brain tumor segmentation with incomplete multi-modal MRI scans

Brain tumor segmentation based on multi-modal magnetic resonance imaging...

0 Haoran Li, et al. ∙

research

∙ 11/15/2022

Adaptive PromptNet For Auxiliary Glioma Diagnosis without Contrast-Enhanced MRI

Multi-contrast magnetic resonance imaging (MRI)-based automatic auxiliar...

0 Yeqi Wang, et al. ∙

research

∙ 10/22/2022

Performance Analysis of the Full-Duplex Communicating-Radar Convergence System

This paper aims to explore the feasibility of the spectrum sharing betwe...

0 Yinghong Guo, et al. ∙

research

∙ 08/26/2022

From WSI-level to Patch-level: Structure Prior Guided Binuclear Cell Fine-grained Detection

Accurately and quickly binuclear cell (BC) detection plays a significant...

1 Baomin Wang, et al. ∙

research

∙ 08/08/2022

SelfCoLearn: Self-supervised collaborative learning for accelerating dynamic MR imaging

Lately, deep learning has been extensively investigated for accelerating...

29 Juan Zou, et al. ∙

research

∙ 07/29/2022

BiFeat: Supercharge GNN Training via Graph Feature Quantization

Graph Neural Networks (GNNs) is a promising approach for applications wi...

0 Yuxin Ma, et al. ∙

research

∙ 07/21/2022

Fixed-domain Posterior Contraction Rates for Spatial Gaussian Process Model with Nugget

Spatial Gaussian process regression models typically contain finite dime...

0 Cheng Li, et al. ∙

research

∙ 07/01/2022

Rethinking Query-Key Pairwise Interactions in Vision Transformers

Vision Transformers have achieved state-of-the-art performance in many v...

0 Cheng Li, et al. ∙

research

∙ 06/30/2022

DeepSpeed Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale

The past several years have witnessed the success of transformer-based m...

6 Reza Yazdani Aminabadi, et al. ∙

research

∙ 06/20/2022

SJ-HD^2R: Selective Joint High Dynamic Range and Denoising Imaging for Dynamic Scenes

Ghosting artifacts, motion blur, and low fidelity in highlight are the m...

0 Wei Li, et al. ∙

research

∙ 03/18/2022

Rethinking the optimization process for self-supervised model-driven MRI reconstruction

Recovering high-quality images from undersampled measurements is critica...

0 Weijian Huang, et al. ∙

research

∙ 02/15/2022

Secure Beamforming Design for Rate-Splitting Multiple Access in Multi-antenna Broadcast Channel with Confidential Messages

As physical layer security evolves to multi-user systems, multi-user int...

0 Huiyun Xia, et al. ∙

research

∙ 02/03/2022

PARCEL: Physics-based unsupervised contrastive representation learning for parallel MR imaging

With the successful application of deep learning in magnetic resonance i...

15 Shanshan Wang, et al. ∙

research

∙ 01/20/2022

Weighted Sum-Rate Maximization for Rate-Splitting Multiple Access Based Secure Communication

As investigations on physical layer security evolve from point-to-point ...

0 Huiyun Xia, et al. ∙

research

∙ 01/08/2022

Expert Knowledge-guided Geometric Representation Learning for Magnetic Resonance Imaging-based Glioma Grading

Radiomics and deep learning have shown high popularity in automatic glio...

3 Yeqi Wang, et al. ∙

research

∙ 01/04/2022

A Statistical Approach to Estimating Adsorption-Isotherm Parameters in Gradient-Elution Preparative Liquid Chromatography

Determining the adsorption isotherms is an issue of significant importan...

0 Jiaji Su, et al. ∙

research

∙ 09/26/2021

A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images

Radiation therapy (RT) is widely employed in the clinic for the treatmen...

0 Zijie Chen, et al. ∙

research

∙ 09/26/2021

Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation

Recent studies have witnessed the effectiveness of 3D convolutions on se...

0 Junjun He, et al. ∙

research

∙ 09/26/2021

Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework

Image reconstruction from undersampled k-space data plays an important r...

0 Chen Hu, et al. ∙

research

∙ 08/19/2021

VIL-100: A New Dataset and A Baseline Model for Video Instance Lane Detection

Lane detection plays a key role in autonomous driving. While car cameras...

11 Yujun Zhang, et al. ∙

research

∙ 05/17/2021

Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report

Image denoising is one of the most critical problems in mobile photo pro...

16 Andrey Ignatov, et al. ∙

research

∙ 04/21/2021

NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results

This paper reviews the first NTIRE challenge on quality enhancement of c...

9 Ren Yang, et al. ∙

research

∙ 04/16/2021

LAMPRET: Layout-Aware Multimodal PreTraining for Document Understanding

Document layout comprises both structural and visual (eg. font-sizes) in...

25 Te-Lin Wu, et al. ∙

research

∙ 03/13/2021

Supervised Learning in the Presence of Noise: Application in ICD-10 Code Classification

ICD coding is the international standard for capturing and reporting hea...

0 Youngwoo Kim, et al. ∙

research

∙ 12/30/2020

Robustness Testing of Language Understanding in Dialog Systems

Most language understanding models in dialog systems are trained on a sm...

0 Jiexi Liu, et al. ∙

research

∙ 12/09/2020

AIDE: Annotation-efficient deep learning for automatic medical image segmentation

Accurate image segmentation is crucial for medical imaging applications....

14 Cheng Li, et al. ∙

research

∙ 10/05/2020

Bayesian Fixed-domain Asymptotics: Bernstein-von Mises Theorem for Covariance Parameters in a Gaussian Process Model

Gaussian process models typically contain finite dimensional parameters ...

0 Cheng Li, et al. ∙

research

∙ 10/02/2020

Leveraging Semantic and Lexical Matching to Improve the Recall of Document Retrieval Systems: A Hybrid Approach

Search engines often follow a two-phase paradigm where in the first stag...

0 Saar Kuzi, et al. ∙

research

∙ 08/20/2020

Simultaneously-Collected Multimodal Lying Pose Dataset: Towards In-Bed Human Pose Monitoring under Adverse Vision Conditions

Computer vision (CV) has achieved great success in interpreting semantic...

2 Shuangjun Liu, et al. ∙

research

∙ 08/05/2020

A coarse-to-fine framework for unsupervised multi-contrast MR image deformable registration with dual consistency constraint

Multi-contrast magnetic resonance (MR) image registration is essential i...

4 Weijian Huang, et al. ∙

research

∙ 08/02/2020

P-Cloth: Interactive Complex Cloth Simulation on Multi-GPU Systems using Dynamic Matrix Assembly and Pipelined Implicit Integrators

We present a novel parallel algorithm for cloth simulation that exploits...

0 Cheng Li, et al. ∙

research

∙ 06/01/2020

Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior

Varying coefficient models (VCMs) are widely used for estimating nonline...

0 Rajarshi Guhaniyogi, et al. ∙

research

∙ 05/22/2020

A Complex KBQA System using Multiple Reasoning Paths

Multi-hop knowledge based question answering (KBQA) is a complex task fo...

6 Kechen Qin, et al. ∙

research

∙ 05/16/2020

Towards in-store multi-person tracking using head detection and track heatmaps

Computer vision algorithms are being implemented across a breadth of ind...

8 Aibek Musaev, et al. ∙

research

∙ 04/26/2020

Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Document Matching

Many information retrieval and natural language processing problems can ...

0 Liu Yang, et al. ∙

research

∙ 04/22/2020

Hierarchically Fair Federated Learning

Federated learning facilitates collaboration among self-interested agent...

0 Jingfeng Zhang, et al. ∙

research

∙ 04/08/2020

Downstream Model Design of Pre-trained Language Model for Relation Extraction Task

Supervised relation extraction methods based on deep neural network play...

0 Cheng Li, et al. ∙

research

∙ 03/27/2020

Incorporating Expert Prior in Bayesian Optimisation via Space Warping

Bayesian optimisation is a well-known sample-efficient method for the op...

3 Anil Ramachandran, et al. ∙

Cheng Li

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