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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...
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07/05/2023
Graph Contrastive Topic Model
Existing NTMs with contrastive learning suffer from the sample bias prob...
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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...
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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...
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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...
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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...
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04/30/2023
Assessing Vulnerabilities of Adversarial Learning Algorithm through Poisoning Attacks
Adversarial training (AT) is a robust learning algorithm that can defend...
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04/17/2023
Orthogonal AMP for Problems with Multiple Measurement Vectors and/or Multiple Transforms
Approximate message passing (AMP) algorithms break a (high-dimensional) ...
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04/16/2023
FlexEdge: Digital Twin-Enabled Task Offloading for UAV-Aided Vehicular Edge Computing
Integrating unmanned aerial vehicles (UAVs) into vehicular networks have...
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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...
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03/03/2023
Spatio-Temporal Structure Consistency for Semi-supervised Medical Image Classification
Intelligent medical diagnosis has shown remarkable progress based on the...
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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...
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12/09/2022
Mitigation of Spatial Nonstationarity with Vision Transformers
Spatial nonstationarity, the location variance of features' statistical ...
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12/02/2022
Cross-Modal Mutual Learning for Cued Speech Recognition
Automatic Cued Speech Recognition (ACSR) provides an intelligent human-m...
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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...
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11/17/2022
Parameter-Efficient Transformer with Hybrid Axial-Attention for Medical Image Segmentation
Transformers have achieved remarkable success in medical image analysis ...
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09/06/2022
High Speed Rotation Estimation with Dynamic Vision Sensors
Rotational speed is one of the important metrics to be measured for cali...
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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...
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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...
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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...
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06/24/2022
Capacity Optimal Coded Generalized MU-MIMO
With the complication of future communication scenarios, most convention...
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06/23/2022
Capacity Optimality of OAMP in Coded Large Unitarily Invariant Systems
This paper investigates a large unitarily invariant system (LUIS) involv...
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06/23/2022
Sufficient Statistic Memory Approximate Message Passing
Approximate message passing (AMP) type algorithms have been widely used ...
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03/01/2022
On Orthogonal Approximate Message Passing
Approximate Message Passing (AMP) is an efficient iterative parameter-es...
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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...
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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...
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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...
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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...
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12/31/2021
Sufficient Statistic Memory AMP
Approximate message passing (AMP) is a promising technique for unknown s...
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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...
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11/22/2021
Capacity Optimal Generalized Multi-User MIMO: A Theoretical and Practical Framework
Conventional multi-user multiple-input multiple-output (MU-MIMO) mainly ...
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11/18/2021
Number of New Top 2
In this paper we compare the numbers of new top 2 USA annually since 198...
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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...
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11/07/2021
MetaMIML: Meta Multi-Instance Multi-Label Learning
Multi-Instance Multi-Label learning (MIML) models complex objects (bags)...
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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-...
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11/07/2021
Open-Set Crowdsourcing using Multiple-Source Transfer Learning
We raise and define a new crowdsourcing scenario, open set crowdsourcing...
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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 ...
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10/12/2021
Generalized Memory Approximate Message Passing
Generalized approximate message passing (GAMP) is a promising technique ...
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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...
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10/04/2021
PyTorrent: A Python Library Corpus for Large-scale Language Models
A large scale collection of both semantic and natural language resources...
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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...
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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...
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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-...
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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...
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06/03/2021
A Systematic Investigation of KB-Text Embedding Alignment at Scale
Knowledge bases (KBs) and text often contain complementary knowledge: KB...
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06/03/2021
Irregularly Clipped Sparse Regression Codes
Recently, it was found that clipping can significantly improve the secti...
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06/02/2021
Few-Shot Partial-Label Learning
Partial-label learning (PLL) generally focuses on inducing a noise-toler...
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04/27/2021
Extending Isolation Forest for Anomaly Detection in Big Data via K-Means
Industrial Information Technology (IT) infrastructures are often vulnera...
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03/06/2021
Intelligent Reflecting Surface Enhanced D2D Cooperative Computing
This paper investigates a device-to-device (D2D) cooperative computing s...
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12/20/2020