b'Lei Liu'

research

∙ 08/07/2023

Cuing Without Sharing: A Federated Cued Speech Recognition Framework via Mutual Knowledge Distillation

Cued Speech (CS) is a visual coding tool to encode spoken languages at t...

0 Yuxuan Zhang, et al. ∙

research

∙ 07/05/2023

Graph Contrastive Topic Model

Existing NTMs with contrastive learning suffer from the sample bias prob...

0 Zheheng Luo, et al. ∙

research

∙ 05/29/2023

Computation Offloading for Edge Computing in RIS-Assisted Symbiotic Radio Systems

In the paper, we investigate the coordination process of sensing and com...

0 Bin Li, et al. ∙

research

∙ 05/28/2023

BadLabel: A Robust Perspective on Evaluating and Enhancing Label-noise Learning

Label-noise learning (LNL) aims to increase the model's generalization g...

1 Jingfeng 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

∙ 05/12/2023

Prompt Learning to Mitigate Catastrophic Forgetting in Cross-lingual Transfer for Open-domain Dialogue Generation

Dialogue systems for non-English languages have long been under-explored...

0 Lei Liu, et al. ∙

research

∙ 04/30/2023

Assessing Vulnerabilities of Adversarial Learning Algorithm through Poisoning Attacks

Adversarial training (AT) is a robust learning algorithm that can defend...

1 Jingfeng Zhang, et al. ∙

research

∙ 04/17/2023

Orthogonal AMP for Problems with Multiple Measurement Vectors and/or Multiple Transforms

Approximate message passing (AMP) algorithms break a (high-dimensional) ...

0 Yiyao Cheng, et al. ∙

research

∙ 04/16/2023

FlexEdge: Digital Twin-Enabled Task Offloading for UAV-Aided Vehicular Edge Computing

Integrating unmanned aerial vehicles (UAVs) into vehicular networks have...

0 Bin Li, et al. ∙

research

∙ 03/15/2023

Low-Complexity Memory AMP Detector for High-Mobility MIMO-OTFS SCMA Systems

Efficient signal detectors are rather important yet challenging to achie...

0 Yao Ge, et al. ∙

research

∙ 03/03/2023

Spatio-Temporal Structure Consistency for Semi-supervised Medical Image Classification

Intelligent medical diagnosis has shown remarkable progress based on the...

0 Wentao Lei, et al. ∙

research

∙ 01/27/2023

Context Matters: A Strategy to Pre-train Language Model for Science Education

This study aims at improving the performance of scoring student response...

0 Zhengliang Liu, et al. ∙

research

∙ 12/09/2022

Mitigation of Spatial Nonstationarity with Vision Transformers

Spatial nonstationarity, the location variance of features' statistical ...

0 Lei Liu, et al. ∙

research

∙ 12/02/2022

Cross-Modal Mutual Learning for Cued Speech Recognition

Automatic Cued Speech Recognition (ACSR) provides an intelligent human-m...

0 Lei Liu, et al. ∙

research

∙ 11/29/2022

Utility Maximizer or Value Maximizer: Mechanism Design for Mixed Bidders in Online Advertising

Digital advertising constitutes one of the main revenue sources for onli...

0 Hongtao Lv, et al. ∙

research

∙ 11/17/2022

Parameter-Efficient Transformer with Hybrid Axial-Attention for Medical Image Segmentation

Transformers have achieved remarkable success in medical image analysis ...

0 Yiyue Hu, et al. ∙

research

∙ 09/06/2022

High Speed Rotation Estimation with Dynamic Vision Sensors

Rotational speed is one of the important metrics to be measured for cali...

0 Guangrong Zhao, et al. ∙

research

∙ 09/03/2022

Reinforcement Learning with Prior Policy Guidance for Motion Planning of Dual-Arm Free-Floating Space Robot

Reinforcement learning methods as a promising technique have achieved su...

0 Yuxue Cao, et al. ∙

research

∙ 08/30/2022

RIS-Aided Multiuser MIMO-OFDM with Linear Precoding and Iterative Detection: Analysis and Optimization

In this paper, we consider a reconfigurable intelligence surface (RIS) a...

0 Mingyang Yue, et al. ∙

research

∙ 07/29/2022

QuCloud+: A Holistic Qubit Mapping Scheme for Single/Multi-programming on 2D/3D NISQ Quantum Computers

Qubit mapping is essential to quantum computing's fidelity and quantum c...

0 Lei Liu, 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

∙ 06/23/2022

Capacity Optimality of OAMP in Coded Large Unitarily Invariant Systems

This paper investigates a large unitarily invariant system (LUIS) involv...

0 Lei Liu, et al. ∙

research

∙ 06/23/2022

Sufficient Statistic Memory Approximate Message Passing

Approximate message passing (AMP) type algorithms have been widely used ...

0 Lei Liu, et al. ∙

research

∙ 03/01/2022

On Orthogonal Approximate Message Passing

Approximate Message Passing (AMP) is an efficient iterative parameter-es...

0 Lei Liu, et al. ∙

research

∙ 02/27/2022

Massive Unsourced Random Access over Rician Fading Channels: Design, Analysis, and Optimization

In this paper, we investigate an unsourced random access scheme for mass...

0 Feiyan Tian, et al. ∙

research

∙ 02/03/2022

Space-Air-Ground Integrated Multi-domain Network Resource Orchestration based on Virtual Network Architecture: a DRL Method

Traditional ground wireless communication networks cannot provide high-q...

0 Peiying Zhang, et al. ∙

research

∙ 02/03/2022

Incorporating Distributed DRL into Storage Resource Optimization of Space-Air-Ground Integrated Wireless Communication Network

Space-air-ground integrated network (SAGIN) is a new type of wireless ne...

0 Chao Wang, et al. ∙

research

∙ 02/03/2022

Dynamic Virtual Network Embedding Algorithm based on Graph Convolution Neural Network and Reinforcement Learning

Network virtualization (NV) is a technology with broad application prosp...

6 Peiying Zhang, et al. ∙

research

∙ 12/31/2021

Sufficient Statistic Memory AMP

Approximate message passing (AMP) is a promising technique for unknown s...

0 Lei Liu, et al. ∙

research

∙ 12/26/2021

Transfer Learning in High-dimensional Semi-parametric Graphical Models with Application to Brain Connectivity Analysis

Transfer learning has drawn growing attention with the target of improvi...

0 Yong He, 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

∙ 11/18/2021

Number of New Top 2

In this paper we compare the numbers of new top 2 USA annually since 198...

0 Lei Liu, et al. ∙

research

∙ 11/08/2021

Cross-Modal Object Tracking: Modality-Aware Representations and A Unified Benchmark

In many visual systems, visual tracking often bases on RGB image sequenc...

11 Chenglong Li, et al. ∙

research

∙ 11/07/2021

MetaMIML: Meta Multi-Instance Multi-Label Learning

Multi-Instance Multi-Label learning (MIML) models complex objects (bags)...

5 Yuanlin Yang, et al. ∙

research

∙ 11/07/2021

Cross-modal Zero-shot Hashing by Label Attributes Embedding

Cross-modal hashing (CMH) is one of the most promising methods in cross-...

0 Runmin Wang, et al. ∙

research

∙ 11/07/2021

Open-Set Crowdsourcing using Multiple-Source Transfer Learning

We raise and define a new crowdsourcing scenario, open set crowdsourcing...

0 Guangyang Han, et al. ∙

research

∙ 10/16/2021

AugmentedCode: Examining the Effects of Natural Language Resources in Code Retrieval Models

Code retrieval is allowing software engineers to search codes through a ...

0 Mehdi Bahrami, et al. ∙

research

∙ 10/12/2021

Generalized Memory Approximate Message Passing

Generalized approximate message passing (GAMP) is a promising technique ...

0 Feiyan Tian, et al. ∙

research

∙ 10/09/2021

Simultaneous Cluster Structure Learning and Estimation of Heterogeneous Graphs for Matrix-variate fMRI Data

Graphical models play an important role in neuroscience studies, particu...

0 Dong Liu, et al. ∙

research

∙ 10/04/2021

PyTorrent: A Python Library Corpus for Large-scale Language Models

A large scale collection of both semantic and natural language resources...

0 Mehdi Bahrami, et al. ∙

research

∙ 08/19/2021

Capacity Optimality of OAMP: Beyond IID Sensing Matrices and Gaussian Signaling

This paper studies a large unitarily invariant system (LUIS) involving a...

0 Lei Liu, et al. ∙

research

∙ 07/13/2021

A Dialogue-based Information Extraction System for Medical Insurance Assessment

In the Chinese medical insurance industry, the assessor's role is essent...

0 Shuang Peng, et al. ∙

research

∙ 07/08/2021

Investigate the Essence of Long-Tailed Recognition from a Unified Perspective

As the data scale grows, deep recognition models often suffer from long-...

0 Lei Liu, et al. ∙

research

∙ 06/07/2021

Joint Learning of Multiple Differential Networks with fMRI data for Brain Connectivity Alteration Detection

In this study we focus on the problem of joint learning of multiple diff...

0 Hao Chen, et al. ∙

research

∙ 06/03/2021

A Systematic Investigation of KB-Text Embedding Alignment at Scale

Knowledge bases (KBs) and text often contain complementary knowledge: KB...

0 Vardaan Pahuja, et al. ∙

research

∙ 06/03/2021

Irregularly Clipped Sparse Regression Codes

Recently, it was found that clipping can significantly improve the secti...

0 Wencong Li, et al. ∙

research

∙ 06/02/2021

Few-Shot Partial-Label Learning

Partial-label learning (PLL) generally focuses on inducing a noise-toler...

0 Yunfeng Zhao, et al. ∙

research

∙ 04/27/2021

Extending Isolation Forest for Anomaly Detection in Big Data via K-Means

Industrial Information Technology (IT) infrastructures are often vulnera...

0 Md Tahmid Rahman Laskar, et al. ∙

research

∙ 03/06/2021

Intelligent Reflecting Surface Enhanced D2D Cooperative Computing

This paper investigates a device-to-device (D2D) cooperative computing s...

0 Sun Mao, et al. ∙

research

∙ 12/20/2020

Memory Approximate Message Passing

Approximate message passing (AMP) is a low-cost iterative parameter-esti...

0 Lei Liu, et al. ∙

Lei Liu

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