b'Wen Wu'

research

∙ 09/19/2023

Leveraging Speech PTM, Text LLM, and Emotional TTS for Speech Emotion Recognition

In this paper, we explored how to boost speech emotion recognition (SER)...

0 Ziyang Ma, et al. ∙

research

∙ 08/31/2023

FedDD: Toward Communication-efficient Federated Learning with Differential Parameter Dropout

Federated Learning (FL) requires frequent exchange of model parameters, ...

0 Zhiying Feng, et al. ∙

research

∙ 08/17/2023

Digital Twin Based User-Centric Resource Management for Multicast Short Video Streaming

Multicast short video streaming (MSVS) can effectively reduce network tr...

0 Xinyu Huang, et al. ∙

research

∙ 08/14/2023

Integrating Emotion Recognition with Speech Recognition and Speaker Diarisation for Conversations

Although automatic emotion recognition (AER) has recently drawn signific...

0 Wen Wu, et al. ∙

research

∙ 07/15/2023

Digital Twin-Assisted Adaptive Preloading for Short Video Streaming

We propose a digital twin-assisted adaptive preloading scheme to enhance...

0 Shengbo Liu, et al. ∙

research

∙ 07/08/2023

Is ChatGPT a Good Personality Recognizer? A Preliminary Study

In recent years, personality has been regarded as a valuable personal fa...

0 Yu Ji, et al. ∙

research

∙ 06/11/2023

Estimating the Uncertainty in Emotion Attributes using Deep Evidential Regression

In automatic emotion recognition (AER), labels assigned by different hum...

0 Wen Wu, et al. ∙

research

∙ 06/09/2023

Digital Twin-Assisted Resource Demand Prediction for Multicast Short Video Streaming

In this paper, we propose a digital twin (DT)-assisted resource demand p...

0 Xinyu Huang, et al. ∙

research

∙ 05/30/2023

Split Federated Learning: Speed up Model Training in Resource-Limited Wireless Networks

In this paper, we propose a novel distributed learning scheme, named gro...

0 Songge Zhang, et al. ∙

research

∙ 05/30/2023

Millimeter Wave Full-Duplex Networks: MAC Design and Throughput Optimization

Full-duplex (FD) technique can remarkably boost the network capacity in ...

0 Shengbo Liu, et al. ∙

research

∙ 05/20/2023

Self-supervised representations in speech-based depression detection

This paper proposes handling training data sparsity in speech-based auto...

0 Wen Wu, et al. ∙

research

∙ 04/18/2023

PEGA: Personality-Guided Preference Aggregator for Ephemeral Group Recommendation

Recently, making recommendations for ephemeral groups which contain dyna...

0 Guangze Ye, et al. ∙

research

∙ 02/21/2023

Tell Model Where to Attend: Improving Interpretability of Aspect-Based Sentiment Classification via Small Explanation Annotations

Gradient-based explanation methods play an important role in the field o...

0 Zhenxiao Cheng, et al. ∙

research

∙ 01/02/2023

Performance Analysis and Enhancement of Beamforming Training in 802.11ad

Beamforming (BF) training is crucial to establishing reliable millimeter...

0 Wen Wu, et al. ∙

research

∙ 01/02/2023

Beef up mmWave Dense Cellular Networks with D2D-Assisted Cooperative Edge Caching

Edge caching is emerging as the most promising solution to reduce the co...

0 Wen Wu, et al. ∙

research

∙ 01/02/2023

Holistic Network Virtualization and Pervasive Network Intelligence for 6G

In this tutorial paper, we look into the evolution and prospect of netwo...

0 Xuemin, et al. ∙

research

∙ 01/02/2023

Model-Driven Deep Learning for Non-Coherent Massive Machine-Type Communications

In this paper, we investigate the joint device activity and data detecti...

0 Zhe Ma, et al. ∙

research

∙ 12/31/2022

Cost-Effective Two-Stage Network Slicing for Edge-Cloud Orchestrated Vehicular Networks

In this paper, we study a network slicing problem for edge-cloud orchest...

0 Wen Wu, et al. ∙

research

∙ 12/31/2022

Accuracy-Guaranteed Collaborative DNN Inference in Industrial IoT via Deep Reinforcement Learning

Collaboration among industrial Internet of Things (IoT) devices and edge...

0 Wen Wu, et al. ∙

research

∙ 11/09/2022

Distribution-based Emotion Recognition in Conversation

Automatic emotion recognition in conversation (ERC) is crucial for emoti...

0 Wen Wu, et al. ∙

research

∙ 11/02/2022

C3SASR: Cheap Causal Convolutions for Self-Attentive Sequential Recommendation

Sequential Recommendation is a prominent topic in current research, whic...

0 Jiayi Chen, et al. ∙

research

∙ 04/29/2022

Climate and Weather: Inspecting Depression Detection via Emotion Recognition

Automatic depression detection has attracted increasing amount of attent...

0 Wen Wu, et al. ∙

research

∙ 04/22/2022

DACSR: Decoupled-Aggregated End-to-End Calibrated Sequential Recommendation

Recent years have witnessed the progress of sequential recommendation in...

0 Jiayi Chen, et al. ∙

research

∙ 04/18/2022

Split Learning over Wireless Networks: Parallel Design and Resource Management

Split learning (SL) is a collaborative learning framework, which can tra...

0 Wen Wu, et al. ∙

research

∙ 03/08/2022

Estimating the Uncertainty in Emotion Class Labels with Utterance-Specific Dirichlet Priors

Emotion recognition is a key attribute for artificial intelligence syste...

0 Wen Wu, et al. ∙

research

∙ 01/25/2022

Multi-channel Attentive Graph Convolutional Network With Sentiment Fusion For Multimodal Sentiment Analysis

Nowadays, with the explosive growth of multimodal reviews on social medi...

0 Luwei Xiao, et al. ∙

research

∙ 12/05/2021

Long-Tail Session-based Recommendation from Calibration

Accurate prediction in session-based recommendation has achieved progres...

0 Jiayi Chen, et al. ∙

research

∙ 05/18/2021

AI-Native Network Slicing for 6G Networks

With the global roll-out of the fifth generation (5G) networks, it is ne...

0 Wen Wu, et al. ∙

research

∙ 12/03/2020

Dynamic RAN Slicing for Service-Oriented Vehicular Networks via Constrained Learning

In this paper, we investigate a radio access network (RAN) slicing probl...

0 Wen Wu, et al. ∙

research

∙ 10/27/2020

Emotion recognition by fusing time synchronous and time asynchronous representations

In this paper, a novel two-branch neural network model structure is prop...

0 Wen Wu, et al. ∙

research

∙ 10/04/2020

Deep Reinforcement Learning for Delay-Oriented IoT Task Scheduling in Space-Air-Ground Integrated Network

In this paper, we investigate a computing task scheduling problem in spa...

0 Conghao Zhou, et al. ∙

research

∙ 07/02/2020

Efficient Hybrid Beamforming with Anti-Blockage Design for High-Speed Railway Communications

Future railway is expected to accommodate both train operation services ...

0 Meilin Gao, et al. ∙

research

∙ 04/07/2020

Pyramid Focusing Network for mutation prediction and classification in CT images

Predicting the mutation status of genes in tumors is of great clinical s...

0 Xukun Zhang, et al. ∙

research

∙ 09/07/2019

Fast mmwave Beam Alignment via Correlated Bandit Learning

Beam alignment (BA) is to ensure the transmitter and receiver beams are ...

0 Wen Wu, et al. ∙

Wen Wu

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