b'Ying Li'

research

∙ 05/17/2023

Asynchronous Grant-Free Random Access: Receiver Design with Partially Uni-Directional Message Passing and Interference Suppression Analysis

Massive Machine-Type Communications (mMTC) features a massive number of ...

0 Zhaoji Zhang, et al. ∙

research

∙ 05/13/2023

Generalized Linear Systems with OAMP/VAMP Receiver: Achievable Rate and Coding Principle

The generalized linear system (GLS) has been widely used in wireless com...

0 Lei Liu, et al. ∙

research

∙ 03/21/2023

Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection

In this paper, we propose a long-sequence modeling framework, named Stre...

8 Shihao Wang, et al. ∙

research

∙ 02/02/2023

Practical Bandits: An Industry Perspective

The bandit paradigm provides a unified modeling framework for problems t...

0 Bram van den Akker, et al. ∙

research

∙ 02/01/2023

CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models

Code generation models based on the pre-training and fine-tuning paradig...

0 Hao Yu, et al. ∙

research

∙ 12/11/2022

Focal-PETR: Embracing Foreground for Efficient Multi-Camera 3D Object Detection

The dominant multi-camera 3D detection paradigm is based on explicit 3D ...

0 Shihao Wang, et al. ∙

research

∙ 12/03/2022

Numerical simulation for the motions of nonautonomous solitary waves of a variable-coefficient forced Burgers equation via the lattice Boltzmann method

The lattice Boltzmann method (LBM) for the variable-coefficient forced B...

0 Qingfeng Guan, et al. ∙

research

∙ 11/11/2022

What's the Situation with Intelligent Mesh Generation: A Survey and Perspectives

Intelligent Mesh Generation (IMG) represents a novel and promising field...

0 Na Lei, et al. ∙

research

∙ 10/25/2022

Variational Bayesian Inference Clustering Based Joint User Activity and Data Detection for Grant-Free Random Access in mMTC

Tailor-made for massive connectivity and sporadic access, grant-free ran...

0 Zhaoji Zhang, et al. ∙

research

∙ 10/20/2022

VideoPipe 2022 Challenge: Real-World Video Understanding for Urban Pipe Inspection

Video understanding is an important problem in computer vision. Currentl...

4 YI LIU, et al. ∙

research

∙ 09/14/2022

Analytics and Machine Learning Powered Wireless Network Optimization and Planning

It is important that the wireless network is well optimized and planned,...

0 Ying Li, et al. ∙

research

∙ 08/18/2022

Single-Stage Open-world Instance Segmentation with Cross-task Consistency Regularization

Open-world instance segmentation (OWIS) aims to segment class-agnostic i...

8 Xizhe Xue, et al. ∙

research

∙ 07/31/2022

Repairing ℰℒ Ontologies Using Weakening and Completing

The quality of ontologies in terms of their correctness and completeness...

5 Ying Li, et al. ∙

research

∙ 07/17/2022

Systematic assessment of the effects of space averaging and time averaging on weather forecast skill

Intuitively, one would expect a more skillful forecast if predicting wea...

0 Ying Li, et al. ∙

research

∙ 06/24/2022

Capacity Optimal Coded Generalized MU-MIMO

With the complication of future communication scenarios, most convention...

0 Yuhao Chi, et al. ∙

research

∙ 06/04/2022

Missing data imputation for a multivariate outcome of mixed variable types

Data collected in clinical trials are often composed of multiple types o...

0 Yongming Qu, et al. ∙

research

∙ 04/04/2022

Clues in Tweets: Twitter-Guided Discovery and Analysis of SMS Spam

With its critical role in business and service delivery through mobile d...

0 Siyuan Tang, et al. ∙

research

∙ 03/28/2022

Decoupled Multi-task Learning with Cyclical Self-Regulation for Face Parsing

This paper probes intrinsic factors behind typical failure cases (e.g. s...

7 Qingping Zheng, et al. ∙

research

∙ 03/25/2022

EmotionNAS: Two-stream Architecture Search for Speech Emotion Recognition

Speech emotion recognition (SER) is a crucial research topic in human-co...

3 Haiyang Sun, et al. ∙

research

∙ 02/16/2022

Understanding the Impact of the COVID-19 Pandemic on Transportation-related Behaviors with Human Mobility Data

The constrained outbreak of COVID-19 in Mainland China has recently been...

0 Jizhou Huang, et al. ∙

research

∙ 01/19/2022

Swin-Pose: Swin Transformer Based Human Pose Estimation

Convolutional neural networks (CNNs) have been widely utilized in many c...

0 Zinan Xiong, et al. ∙

research

∙ 11/30/2021

Parameter estimation for an Ornstein-Uhlenbeck Process driven by a general Gaussian noise with Hurst Parameter H∈ (0,1/2)

In Chen and Zhou 2021, they consider an inference problem for an Ornstei...

0 Yong Chen, et al. ∙

research

∙ 11/22/2021

Capacity Optimal Generalized Multi-User MIMO: A Theoretical and Practical Framework

Conventional multi-user multiple-input multiple-output (MU-MIMO) mainly ...

0 Yuhao Chi, et al. ∙

research

∙ 10/21/2021

3D-ANAS v2: Grafting Transformer Module on Automatically Designed ConvNet for Hyperspectral Image Classification

Hyperspectral image (HSI) classification has been a hot topic for decide...

0 Xizhe Xue, et al. ∙

research

∙ 06/18/2021

A Vertical Federated Learning Framework for Horizontally Partitioned Labels

Vertical federated learning is a collaborative machine learning framewor...

0 Wensheng Xia, et al. ∙

research

∙ 03/19/2021

DCF-ASN: Coarse-to-fine Real-time Visual Tracking via Discriminative Correlation Filter and Attentional Siamese Network

Discriminative correlation filters (DCF) and siamese networks have achie...

0 Xizhe Xue, et al. ∙

research

∙ 02/10/2021

Adaptive Processor Frequency Adjustment for Mobile Edge Computing with Intermittent Energy Supply

With astonishing speed, bandwidth, and scale, Mobile Edge Computing (MEC...

0 Tiansheng Huang, et al. ∙

research

∙ 02/08/2021

A Histogram Thresholding Improvement to Mask R-CNN for Scalable Segmentation of New and Old Rural Buildings

Mapping new and old buildings are of great significance for understandin...

7 Ying Li, et al. ∙

research

∙ 01/12/2021

3D-ANAS: 3D Asymmetric Neural Architecture Search for Fast Hyperspectral Image Classification

Hyperspectral images involve abundant spectral and spatial information, ...

11 Haokui Zhang, et al. ∙

research

∙ 12/25/2020

A GCICA Grant-Free Random Access Scheme for M2M Communications in Crowded Massive MIMO Systems

A high success rate of grant-free random access scheme is proposed to su...

0 Huimei Han, et al. ∙

research

∙ 12/24/2020

Memory-Efficient Hierarchical Neural Architecture Search for Image Restoration

Recently, much attention has been spent on neural architecture search (N...

8 Haokui Zhang, et al. ∙

research

∙ 12/07/2020

Hyperspectral Classification Based on Lightweight 3-D-CNN With Transfer Learning

Recently, hyperspectral image (HSI) classification approaches based on d...

6 Haokui Zhang, et al. ∙

research

∙ 12/05/2020

Cirrus: A Long-range Bi-pattern LiDAR Dataset

In this paper, we introduce Cirrus, a new long-range bi-pattern LiDAR pu...

0 Ze Wang, et al. ∙

research

∙ 11/25/2020

Robust Correlation Tracking via Multi-channel Fused Features and Reliable Response Map

Benefiting from its ability to efficiently learn how an object is changi...

0 Xizhe Xue, et al. ∙

research

∙ 10/21/2020

UAV LiDAR Point Cloud Segmentation of A Stack Interchange with Deep Neural Networks

Stack interchanges are essential components of transportation systems. M...

0 Weikai Tan, et al. ∙

research

∙ 08/04/2020

Hyperspectral Image Classification with Spatial Consistence Using Fully Convolutional Spatial Propagation Network

In recent years, deep convolutional neural networks (CNNs) have shown im...

0 Yenan Jiang, et al. ∙

research

∙ 07/24/2020

Locality-Aware Rotated Ship Detection in High-Resolution Remote Sensing Imagery Based on Multi-Scale Convolutional Network

Ship detection has been an active and vital topic in the field of remote...

0 Lingyi Liu, et al. ∙

research

∙ 07/20/2020

Multispectral Pan-sharpening via Dual-Channel Convolutional Network with Convolutional LSTM Based Hierarchical Spatial-Spectral Feature Fusion

Multispectral pan-sharpening aims at producing a high resolution (HR) mu...

0 Dong Wang, et al. ∙

research

∙ 07/11/2020

Polestar: An Intelligent, Efficient and National-Wide Public Transportation Routing Engine

Public transportation plays a critical role in people's daily life. It h...

0 Hao Liu, et al. ∙

research

∙ 05/20/2020

Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review

Recently, the advancement of deep learning in discriminative feature lea...

23 Ying Li, et al. ∙

research

∙ 05/20/2020

User Activity Detection and Channel Estimation for Grant-Free Random Access in LEO Satellite-Enabled Internet-of-Things

With recent advances on the dense low-earth orbit (LEO) constellation, L...

0 Zhaoji Zhang, et al. ∙

research

∙ 05/15/2020

FuSSI-Net: Fusion of Spatio-temporal Skeletons for Intention Prediction Network

Pedestrian intention recognition is very important to develop robust and...

0 Francesco Piccoli, et al. ∙

research

∙ 03/18/2020

Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways

Semantic segmentation of large-scale outdoor point clouds is essential f...

0 Weikai Tan, et al. ∙

research

∙ 03/12/2020

Random NOMA With Cross-Slot Successive Interference Cancellation Packet Recovery

Conventional power-domain non-orthogonal multiple access (NOMA) relies o...

0 Zhaoji Zhang, et al. ∙

research

∙ 02/11/2020

Hyperspectral Classification Based on 3D Asymmetric Inception Network with Data Fusion Transfer Learning

Hyperspectral image(HSI) classification has been improved with convoluti...

0 Haokui Zhang, et al. ∙

research

∙ 01/25/2020

An Immunology-Inspired Network Security Architecture

The coming 5G networks have been enabling the creation of a wide variety...

0 Quan Yu, et al. ∙

research

∙ 01/20/2020

Transparently Capturing Request Execution Path for Anomaly Detection

With the increasing scale and complexity of cloud systems and big data a...

0 Yong Yang, et al. ∙

research

∙ 10/08/2019

DNN-Aided Message Passing Based Block Sparse Bayesian Learning for Joint User Activity Detection and Channel Estimation

Faced with the massive connection, sporadic transmission, and small-size...

0 Zhaoji Zhang, et al. ∙

research

∙ 10/07/2019

DNN-Aided Block Sparse Bayesian Learning for User Activity Detection and Channel Estimation in Grant-Free Non-Orthogonal Random Access

In the upcoming Internet-of-Things (IoT) era, the communication is often...

0 Zhaoji Zhang, et al. ∙

research

∙ 09/26/2019

Range Adaptation for 3D Object Detection in LiDAR

LiDAR-based 3D object detection plays a crucial role in modern autonomou...

2 Ze Wang, et al. ∙

Ying Li

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