b'Yunpeng Li'

research

∙ 03/13/2023

Guided Speech Enhancement Network

High quality speech capture has been widely studied for both voice commu...

0 Yang Yang, et al. ∙

research

∙ 02/20/2023

Differentiable Bootstrap Particle Filters for Regime-Switching Models

Differentiable particle filters are an emerging class of particle filter...

0 Wenhan Li, et al. ∙

research

∙ 02/19/2023

An overview of differentiable particle filters for data-adaptive sequential Bayesian inference

By approximating posterior distributions with weighted samples, particle...

0 Xiongjie Chen, et al. ∙

research

∙ 11/01/2022

FADO: Feedback-Aware Double COntrolling Network for Emotional Support Conversation

Emotional Support Conversation (ESConv) aims to reduce help-seekers'emot...

15 Wei Peng, et al. ∙

research

∙ 10/14/2022

Psychology-guided Controllable Story Generation

Controllable story generation is a challenging task in the field of NLP,...

6 Yuqiang Xie, et al. ∙

research

∙ 06/26/2022

Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution Detection

Out-of-distribution (OOD) detection has recently received much attention...

0 Xiongjie Chen, et al. ∙

research

∙ 04/27/2022

Control Globally, Understand Locally: A Global-to-Local Hierarchical Graph Network for Emotional Support Conversation

Emotional support conversation aims at reducing the emotional distress o...

0 Wei Peng, et al. ∙

research

∙ 03/16/2022

Conditional Measurement Density Estimation in Sequential Monte Carlo via Normalizing Flow

Tuning of measurement models is challenging in real-world applications o...

0 Xiongjie Chen, et al. ∙

research

∙ 03/01/2022

Real time spectrogram inversion on mobile phone

With the growth of computing power on mobile phones and privacy concerns...

0 Oleg Rybakov, et al. ∙

research

∙ 02/18/2022

CLSEG: Contrastive Learning of Story Ending Generation

Story Ending Generation (SEG) is a challenging task in natural language ...

3 Yuqiang Xie, et al. ∙

research

∙ 12/12/2021

Boosting Independent Component Analysis

Independent component analysis is intended to recover the unknown compon...

0 Yunpeng Li, et al. ∙

research

∙ 11/30/2021

Second-order Approximation of Minimum Discrimination Information in Independent Component Analysis

Independent Component Analysis (ICA) is intended to recover the mutually...

0 Yunpeng Li, et al. ∙

research

∙ 10/14/2021

HumBugDB: A Large-scale Acoustic Mosquito Dataset

This paper presents the first large-scale multi-species dataset of acous...

0 Ivan Kiskin, et al. ∙

research

∙ 07/24/2021

Modifications of FastICA in Convolutive Blind Source Separation

Convolutive blind source separation (BSS) is intended to recover the unk...

0 Yunpeng Li, et al. ∙

research

∙ 07/01/2021

Differentiable Particle Filters through Conditional Normalizing Flow

Differentiable particle filters provide a flexible mechanism to adaptive...

0 Xiongjie Chen, et al. ∙

research

∙ 05/18/2021

Towards Unsupervised Sketch-based Image Retrieval

Current supervised sketch-based image retrieval (SBIR) methods achieve e...

0 Conghui Hu, et al. ∙

research

∙ 01/21/2021

Boosting in Univariate Nonparametric Maximum Likelihood Estimation

Nonparametric maximum likelihood estimation is intended to infer the unk...

0 Yunpeng Li, et al. ∙

research

∙ 11/11/2020

End-To-End Semi-supervised Learning for Differentiable Particle Filters

Recent advances in incorporating neural networks into particle filters p...

14 Hao Wen, et al. ∙

research

∙ 10/21/2020

Real-time Speech Frequency Bandwidth Extension

In this paper we propose a lightweight model for frequency bandwidth ext...

0 Yunpeng Li, et al. ∙

research

∙ 10/19/2020

MicAugment: One-shot Microphone Style Transfer

A crucial aspect for the successful deployment of audio-based models "in...

0 Zalán Borsos, et al. ∙

research

∙ 09/04/2020

SEANet: A Multi-modal Speech Enhancement Network

We explore the possibility of leveraging accelerometer data to perform s...

0 Marco Tagliasacchi, et al. ∙

research

∙ 08/20/2020

Imitation Learning with Sinkhorn Distances

Imitation learning algorithms have been interpreted as variants of diver...

0 Georgios Papagiannis, et al. ∙

research

∙ 08/05/2020

Learning to Denoise Historical Music

We propose an audio-to-audio neural network model that learns to denoise...

0 Yunpeng Li, et al. ∙

research

∙ 06/15/2020

Augmented Sliced Wasserstein Distances

While theoretically appealing, the application of the Wasserstein distan...

0 Xiongjie Chen, et al. ∙

research

∙ 05/24/2019

From Here to There: Video Inbetweening Using Direct 3D Convolutions

We consider the problem of generating plausible and diverse video sequen...

0 Yunpeng Li, et al. ∙

research

∙ 12/19/2018

An Empirical Study of Generative Models with Encoders

Generative adversarial networks (GANs) are capable of producing high qua...

16 Paul K. Rubenstein, et al. ∙

research

∙ 12/03/2018

Recommending Paths: Follow or Not Follow?

Mobile social network applications constitute an important platform for ...

0 Yunpeng Li, et al. ∙

research

∙ 11/29/2018

BCCNet: Bayesian classifier combination neural network

Machine learning research for developing countries can demonstrate clear...

0 Olga Isupova, et al. ∙

research

∙ 07/06/2018

Invertible Particle Flow-based Sequential MCMC with extension to Gaussian Mixture noise models

Sequential state estimation in non-linear and non-Gaussian state spaces ...

0 Yunpeng Li, et al. ∙

research

∙ 05/24/2018

Optimal pricing for a peer-to-peer sharing platform under network externalities

In this paper, we analyse how a peer-to-peer sharing platform should pri...

0 Yunpeng Li, et al. ∙

research

∙ 12/07/2017

Cost-sensitive detection with variational autoencoders for environmental acoustic sensing

Environmental acoustic sensing involves the retrieval and processing of ...

0 Yunpeng Li, et al. ∙

research

∙ 11/16/2017

Mosquito detection with low-cost smartphones: data acquisition for malaria research

Mosquitoes are a major vector for malaria, causing hundreds of thousands...

0 Yunpeng Li, et al. ∙

research

∙ 02/24/2017

Microwave breast cancer detection using Empirical Mode Decomposition features

Microwave-based breast cancer detection has been proposed as a complemen...

0 Hongchao Song, et al. ∙

research

∙ 03/20/2014

Defuzzify firstly or finally: Dose it matter in fuzzy DEMATEL under uncertain environment?

Decision-Making Trial and Evaluation Laboratory (DEMATEL) method is wide...

0 Yunpeng Li, et al. ∙

research

∙ 11/23/2013

A brief network analysis of Artificial Intelligence publication

In this paper, we present an illustration to the history of Artificial I...

0 Yunpeng Li, et al. ∙

Yunpeng Li

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