Yuan Jiang | DeepAI

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Featured Co-authors

Yu Zhang
406 publications
Xin Wang
382 publications
Yang Yang
251 publications
Masashi Sugiyama
222 publications
Yan Wang
215 publications
Jie Zhang
215 publications
Alan Yuille
192 publications
Bin Wang
167 publications
Cho-Jui Hsieh
147 publications
Qian Wang
147 publications
Xiang Bai
128 publications

∙ 08/21/2023

Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees

Neuro-symbolic hybrid systems are promising for integrating machine lear...

0 Lue Tao, et al. ∙

∙ 05/01/2023

Interpreting Deep Forest through Feature Contribution and MDI Feature Importance

Deep forest is a non-differentiable deep model which has achieved impres...

0 Yi-Xiao He, et al. ∙

∙ 07/03/2022

Compositional Graphical Lasso Resolves the Impact of Parasitic Infection on Gut Microbial Interaction Networks in a Zebrafish Model

Understanding how microbes interact with each other is key to revealing ...

0 Chuan Tian, et al. ∙

∙ 07/03/2022

Reference-Invariant Inverse Covariance Estimation with Application to Microbial Network Recovery

The interactions between microbial taxa in microbiome data has been unde...

0 Chuan Tian, et al. ∙

∙ 07/03/2022

Asymptotic Uncertainty of False Discovery Proportion for Dependent t-Tests

Multiple testing is a fundamental problem in high-dimensional statistica...

0 Meng Mei, et al. ∙

∙ 07/03/2022

Asymptotic Uncertainty of False Discovery Proportion

Multiple testing has been a popular topic in statistical research. Altho...

0 Meng Mei, et al. ∙

∙ 02/15/2022

Learning to Solve Routing Problems via Distributionally Robust Optimization

Recent deep models for solving routing problems always assume a single d...

13 Yuan Jiang, et al. ∙

∙ 01/26/2022

Neural Grapheme-to-Phoneme Conversion with Pre-trained Grapheme Models

Neural network models have achieved state-of-the-art performance on grap...

0 Lu Dong, et al. ∙

∙ 11/11/2021

Towards Theoretical Understanding of Flexible Transmitter Networks via Approximation and Local Minima

Flexible Transmitter Network (FTNet) is a recently proposed bio-plausibl...

4 Jin-Hui Wu, et al. ∙

∙ 09/30/2021

LIFE: Learning Individual Features for Multivariate Time Series Prediction with Missing Values

Multivariate time series (MTS) prediction is ubiquitous in real-world fi...

4 Zhao-Yu Zhang, et al. ∙

∙ 09/06/2021

VulSPG: Vulnerability detection based on slice property graph representation learning

Vulnerability detection is an important issue in software security. Alth...

0 Weining Zheng, et al. ∙

∙ 06/17/2021

Seeing Differently, Acting Similarly: Imitation Learning with Heterogeneous Observations

In many real-world imitation learning tasks, the demonstrator and the le...

3 Xin-Qiang Cai, et al. ∙

∙ 04/24/2021

The Design of the User Interfaces for Privacy Enhancements for Android

We present the design and design rationale for the user interfaces for P...

0 Jason I. Hong, et al. ∙

∙ 04/17/2021

Semi-Supervised Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport

Complex objects are usually with multiple labels, and can be represented...

0 Yang Yang, et al. ∙

∙ 09/03/2020

Voice Conversion by Cascading Automatic Speech Recognition and Text-to-Speech Synthesis with Prosody Transfer

With the development of automatic speech recognition (ASR) and text-to-s...

0 Jing-Xuan Zhang, et al. ∙

∙ 06/12/2020

Provably Robust Metric Learning

Metric learning is an important family of algorithms for classification ...

0 Lu Wang, et al. ∙

∙ 06/07/2020

Soft Gradient Boosting Machine

Gradient Boosting Machine has proven to be one successful function appro...

0 Ji Feng, et al. ∙

∙ 05/11/2020

Spanning Attack: Reinforce Black-box Attacks with Unlabeled Data

Adversarial black-box attacks aim to craft adversarial perturbations by ...

0 Lu Wang, et al. ∙

∙ 11/15/2019

Multi-Label Learning with Deep Forest

In multi-label learning, each instance is associated with multiple label...

22 Liang Yang, et al. ∙

∙ 11/05/2019

The ASVspoof 2019 database

Automatic speaker verification (ASV) is one of the most natural and conv...

0 Xin Wang, et al. ∙

∙ 09/09/2019

Expert-Level Atari Imitation Learning from Demonstrations Only

One of the key issues for imitation learning lies in making policy learn...

9 Xin-Qiang Cai, et al. ∙

∙ 06/26/2019

End-to-End Emotional Speech Synthesis Using Style Tokens and Semi-Supervised Training

This paper proposes an end-to-end emotional speech synthesis (ESS) metho...

0 Peng-fei Wu, et al. ∙

∙ 11/20/2018

Improving Sequence-to-Sequence Acoustic Modeling by Adding Text-Supervision

This paper presents methods of making using of text supervision to impro...

0 Jing-Xuan Zhang, et al. ∙

∙ 10/16/2018

Sequence-to-Sequence Acoustic Modeling for Voice Conversion

In this paper, a neural network named Sequence-to- sequence ConvErsion N...

0 Jing-Xuan Zhang, et al. ∙

∙ 03/24/2017

Multi-stage Multi-recursive-input Fully Convolutional Networks for Neuronal Boundary Detection

In the field of connectomics, neuroscientists seek to identify cortical ...

0 Wei Shen, et al. ∙

∙ 09/13/2016

DeepSkeleton: Learning Multi-task Scale-associated Deep Side Outputs for Object Skeleton Extraction in Natural Images

Object skeletons are useful for object representation and object detecti...

0 Wei Shen, et al. ∙

∙ 05/20/2016

Shape Recognition by Bag of Skeleton-associated Contour Parts

Contour and skeleton are two complementary representations for shape rec...

0 Wei Shen, et al. ∙

∙ 03/31/2016

Object Skeleton Extraction in Natural Images by Fusing Scale-associated Deep Side Outputs

Object skeleton is a useful cue for object detection, complementary to t...

0 Wei Shen, et al. ∙

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