Name
Affiliation
Papers
JUN DENG
Tech Univ Munich, MMK, Machine Intelligence & Signal Proc Grp, D-80290 Munich, Germany
37
Collaborators
Citations 
PageRank 
81
278
18.59
Referers 
Referees 
References 
601
853
470
Search Limit
100853
Title
Citations
PageRank
Year
Improved Flow Awareness Among Edge Nodes by Learning-Based Sampling in Software Defined Networks.00.342022
Identifying surgical-mask speech using deep neural networks on low-level aggregation00.342021
Exploiting time-frequency patterns with LSTM-RNNs for low-bitrate audio restoration50.532020
Automatic Assessment of Depression From Speech via a Hierarchical Attention Transfer Network and Attention Autoencoders10.372020
Connecting Subspace Learning and Extreme Learning Machine in Speech Emotion Recognition40.392019
Improved Flow Awareness by Spatio-Temporal Collaborative Sampling in Software Defined Networks00.342019
Improved Flow Awareness by Intelligent Collaborative Sampling in Software Defined Networks.00.342019
Autonomous Emotion Learning in Speech: A View of Zero-Shot Speech Emotion Recognition00.342019
Asynchronous and Event-based Fusion Systems for Affect Recognition on Naturalistic Data in Comparison to Conventional Approaches10.342018
Secrecy Capacity of a Class of Erasure Wiretap Channels in WBAN.00.342018
A cable fault recognition method based on a deep belief network.10.362018
SBLWT: A Secure Blockchain Lightweight Wallet Based on Trustzone.00.342018
Semisupervised Autoencoders for Speech Emotion Recognition.110.612018
Leveraging Unlabeled Data for Emotion Recognition With Enhanced Collaborative Semi-Supervised Learning.10.342018
A multi-pattern deep fusion model for short-term bus passenger flow forecasting.120.692017
Snore Sound Recognition: On Wavelets And Classifiers From Deep Nets To Kernels00.342017
A3N: Agile application-awareness in software-defined networks.00.342017
Recognizing Emotions From Whispered Speech Based on Acoustic Feature Transfer Learning.10.352017
Numerical Simulation on flow fields for Coupling Gas and Coal Spontaneous Combustion in Gas Anomaly Area in coalmine00.342017
Universum Autoencoder-Based Domain Adaptation for Speech Emotion Recognition.150.652017
Detecting Vocal Irony.00.342017
A Two-Dimensional Framework of Multiple Kernel Subspace Learning for Recognizing Emotion in Speech.30.412017
Speech-based Diagnosis of Autism Spectrum Condition by Generative Adversarial Network Representations.60.462017
Fisher Kernels on Phase-Based Features for Speech Emotion Recognition.00.342016
Multiscale kernel locally penalised discriminant analysis exemplified by emotion recognition in speech.10.352016
The University of Passau Open Emotion Recognition System for the Multimodal Emotion Challenge.40.532016
Exploitation of Phase-Based Features for Whispered Speech Emotion Recognition.40.382016
Dimensionality Reduction For Speech Emotion Features By Multiscale Kernels30.372015
Cooperative Learning and its Application to Emotion Recognition from Speech210.702015
Autoencoder-based Unsupervised Domain Adaptation for Speech Emotion Recognition511.312014
Introducing shared-hidden-layer autoencoders for transfer learning and their application in acoustic emotion recognition200.732014
Linked Source and Target Domain Subspace Feature Transfer Learning -- Exemplified by Speech Emotion Recognition80.492014
Distributing Recognition in Computational Paralinguistics90.492014
Modeling gender information for emotion recognition using Denoising autoencoder80.482014
Sparse Autoencoder-Based Feature Transfer Learning for Speech Emotion Recognition762.302013
Co-training succeeds in Computational Paralinguistics70.452013
Towards distributed recognition of emotion from speech50.462012