b'Li Chen'

research

∙ 07/20/2022

Robust Landmark-based Stent Tracking in X-ray Fluoroscopy

In clinical procedures of angioplasty (i.e., open clogged coronary arter...

Luojie Huang, et al. ∙

research

∙ 07/20/2022

Design of Coded Caching Schemes with Linear Subpacketizations Based on Injective Arc Coloring of Regular Digraphs

Coded caching is an effective technique to decongest the amount of traff...

Xianzhang Wu, et al. ∙

research

∙ 07/15/2022

ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal Feature Learning

Many existing autonomous driving paradigms involve a multi-stage discret...

Shengchao Hu, et al. ∙

research

∙ 07/02/2022

CRB for a Generic Near-Field Positioning System Using Three Electric Field Types

The use of larger antenna arrays at higher frequency bands is envisioned...

Ang Chen, et al. ∙

research

∙ 06/25/2022

Enhanced Deep Animation Video Interpolation

Existing learning-based frame interpolation algorithms extract consecuti...

Wang Shen, et al. ∙

research

∙ 06/16/2022

Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline

Current end-to-end autonomous driving methods either run a controller ba...

Penghao Wu, et al. ∙

research

∙ 05/28/2022

Deep Learning with Label Noise: A Hierarchical Approach

Deep neural networks are susceptible to label noise. Existing methods to...

Li Chen, et al. ∙

research

∙ 04/30/2022

HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding

One essential task for autonomous driving is to encode the information o...

Xiaosong Jia, et al. ∙

research

∙ 03/24/2022

Impacts of Personal Characteristics on User Trust in Conversational Recommender Systems

Conversational recommender systems (CRSs) imitate human advisors to assi...

Wanling Cai, et al. ∙

research

∙ 03/17/2022

Conversational Recommendation: A Grand AI Challenge

Animated avatars, which look and talk like humans, are iconic visions of...

Dietmar Jannach, et al. ∙

research

∙ 03/11/2022

A Survey of Surface Defect Detection of Industrial Products Based on A Small Number of Labeled Data

The surface defect detection method based on visual perception has been ...

Qifan Jin, et al. ∙

research

∙ 03/01/2022

Maximum Flow and Minimum-Cost Flow in Almost-Linear Time

We give an algorithm that computes exact maximum flows and minimum-cost ...

Li Chen, et al. ∙

research

∙ 02/06/2022

Perceptual Coding for Compressed Video Understanding: A New Framework and Benchmark

Most video understanding methods are learned on high-quality videos. How...

Yuan Tian, et al. ∙

research

∙ 11/15/2021

Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks

One major problem in black-box adversarial attacks is the high query com...

Chen Ma, et al. ∙

research

∙ 10/29/2021

Estimating the Distribution of Ratio of Paired Event Times in Phase II Oncology Trials

With the rapid development of new anti-cancer agents which are cytostati...

Li Chen, et al. ∙

research

∙ 10/25/2021

Weighted Mean Difference Statistics for Paired Data in Presence of Missing Values

Missing data is a common issue in many biomedical studies. Under a paire...

Yuntong Li, et al. ∙

research

∙ 10/19/2021

Aesthetic Photo Collage with Deep Reinforcement Learning

Photo collage aims to automatically arrange multiple photos on a given c...

Mingrui Zhang, et al. ∙

research

∙ 10/07/2021

Cloning one's voice using very limited data in the wild

With the increasing popularity of speech synthesis products, the industr...

Dongyang Dai, et al. ∙

research

∙ 10/06/2021

Reversible adversarial examples against local visual perturbation

Recently, studies have indicated that adversarial attacks pose a threat ...

Zhaoxia Yin, et al. ∙

research

∙ 09/01/2021

Extracting all Aspect-polarity Pairs Jointly in a Text with Relation Extraction Approach

Extracting aspect-polarity pairs from texts is an important task of fine...

Lingmei Bu, et al. ∙

research

∙ 07/29/2021

P4COM: In-Network Computation with Programmable Switches

Traditionally, switches only provide forwarding services and have no cre...

Ge Chen, et al. ∙

research

∙ 07/26/2021

Decentralized Federated Learning: Balancing Communication and Computing Costs

Decentralized federated learning (DFL) is a powerful framework of distri...

Wei Liu, et al. ∙

research

∙ 07/20/2021

Joint Echo Cancellation and Noise Suppression based on Cascaded Magnitude and Complex Mask Estimation

Acoustic echo and background noise can seriously degrade the intelligibi...

Xiaofeng Shu, et al. ∙

research

∙ 07/19/2021

Deep Open Snake Tracker for Vessel Tracing

Vessel tracing by modeling vascular structures in 3D medical images with...

Li Chen, et al. ∙

research

∙ 06/12/2021

Task Transformer Network for Joint MRI Reconstruction and Super-Resolution

The core problem of Magnetic Resonance Imaging (MRI) is the trade off be...

Chun-Mei Feng, et al. ∙

research

∙ 05/30/2021

ℓ_2-norm Flow Diffusion in Near-Linear Time

Diffusion is a fundamental graph procedure and has been a basic building...

Li Chen, et al. ∙

research

∙ 05/27/2021

Towards a Better Understanding of Linear Models for Recommendation

Recently, linear regression models, such as EASE and SLIM, have shown to...

Ruoming Jin, et al. ∙

research

∙ 05/08/2021

Improving Robustness for Pose Estimation via Stable Heatmap Regression

Deep learning methods have achieved excellent performance in pose estima...

Yumeng Zhang, et al. ∙

research

∙ 05/06/2021

Cascade Image Matting with Deformable Graph Refinement

Image matting refers to the estimation of the opacity of foreground obje...

Zijian Yu, et al. ∙

research

∙ 04/24/2021

Hermite Polynomial-based Valuation of American Options with General Jump-Diffusion Processes

We present a new approximation scheme for the price and exercise policy ...

Li Chen, et al. ∙

research

∙ 03/22/2021

On the Robustness of Monte Carlo Dropout Trained with Noisy Labels

The memorization effect of deep learning hinders its performance to effe...

Purvi Goel, et al. ∙

research

∙ 02/19/2021

Speech enhancement with weakly labelled data from AudioSet

Speech enhancement is a task to improve the intelligibility and perceptu...

Qiuqiang Kong, et al. ∙

research

∙ 01/25/2021

Blind Diagnosis for Millimeter-wave Massive MIMO Systems

Millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) s...

Rui Sun, et al. ∙

research

∙ 01/24/2021

BU-Trace: A Permissionless Mobile System for Privacy-Preserving Intelligent Contact Tracing

The coronavirus disease 2019 (COVID-19) pandemic has caused an unprecede...

Zhe Peng, et al. ∙

research

∙ 12/23/2020

StainNet: a fast and robust stain normalization network

Pathological images may have large variabilities in color intensities du...

Hongtao Kang, et al. ∙

research

∙ 11/24/2020

A spectral-based framework for hypothesis testing in populations of networks

In this paper, we propose a new spectral-based approach to hypothesis te...

Li Chen, et al. ∙

research

∙ 11/16/2020

Robust Deep Learning with Active Noise Cancellation for Spatial Computing

This paper proposes CANC, a Co-teaching Active Noise Cancellation method...

Li Chen, et al. ∙

research

∙ 11/03/2020

Uncertainty-Oriented Ensemble Data Visualization and Exploration using Variable Spatial Spreading

As an important method of handling potential uncertainties in numerical ...

Mingdong Zhang, et al. ∙

research

∙ 11/03/2020

Visualization of Technical and Tactical Characteristics in Fencing

Fencing is a sport that relies heavily on the use of tactics. However, m...

Mingdong Zhang, et al. ∙

research

∙ 10/15/2020

CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging

Automated detection of curvilinear structures, e.g., blood vessels or ne...

Lei Mou, et al. ∙

research

∙ 09/30/2020

Impact and Calibration of Nonlinear Reciprocity Mismatch in Massive MIMO

Time-division-duplexing massive multiple-input multiple-output (MIMO) sy...

Rongjiang Nie, et al. ∙

research

∙ 09/28/2020

RS-MetaNet: Deep meta metric learning for few-shot remote sensing scene classification

Training a modern deep neural network on massive labeled samples is the ...

Haifeng Li, et al. ∙

research

∙ 09/23/2020

Generative Model without Prior Distribution Matching

Variational Autoencoder (VAE) and its variations are classic generative ...

Cong Geng, et al. ∙

research

∙ 09/15/2020

Switching Gradient Directions for Query-Efficient Black-Box Adversarial Attacks

We propose a simple and highly query-efficient black-box adversarial att...

Chen Ma, et al. ∙

research

∙ 09/08/2020

Composite Signalling for DFRC: Dedicated Probing Signal or Not?

Dual-functional radar-communication (DFRC) is a promising new solution t...

Li Chen, et al. ∙

research

∙ 09/02/2020

MetaSimulator: Simulating Unknown Target Models for Query-Efficient Black-box Attacks

Many adversarial attacks have been proposed to investigate the security ...

Chen Ma, et al. ∙

research

∙ 07/12/2020

Xiaomingbot: A Multilingual Robot News Reporter

This paper proposes the building of Xiaomingbot, an intelligent, multili...

Runxin Xu, et al. ∙

research

∙ 05/26/2020

Noise Robust TTS for Low Resource Speakers using Pre-trained Model and Speech Enhancement

With the popularity of deep neural network, speech synthesis task has ac...

Dongyang Dai, et al. ∙

research

∙ 05/05/2020

Fast Dynamic Cuts, Distances and Effective Resistances via Vertex Sparsifiers

We present a general framework of designing efficient dynamic approximat...

Li Chen, et al. ∙

research

∙ 04/18/2020

DAPnet: A double self-attention convolutional network for segmentation of point clouds

LiDAR point cloud has a complex structure and the 3D semantic labeling o...

Li Chen, et al. ∙

Li Chen

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