b'Yi He'

research

∙ 08/29/2023

Document AI: A Comparative Study of Transformer-Based, Graph-Based Models, and Convolutional Neural Networks For Document Layout Analysis

Document AI aims to automatically analyze documents by leveraging natura...

0 Sotirios Kastanas, et al. ∙

research

∙ 06/09/2023

Improving Frame-level Classifier for Word Timings with Non-peaky CTC in End-to-End Automatic Speech Recognition

End-to-end (E2E) systems have shown comparable performance to hybrid sys...

0 Xianzhao Chen, et al. ∙

research

∙ 03/01/2023

Sketch2Cloth: Sketch-based 3D Garment Generation with Unsigned Distance Fields

3D model reconstruction from a single image has achieved great progress ...

0 Yi He, et al. ∙

research

∙ 02/16/2023

Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking

The increasing use of Machine Learning (ML) software can lead to unfair ...

0 Zichong Wang, et al. ∙

research

∙ 12/20/2022

Multi-Metric AutoRec for High Dimensional and Sparse User Behavior Data Prediction

User behavior data produced during interaction with massive items in the...

0 Cheng Liang, et al. ∙

research

∙ 10/28/2022

Improving short-video speech recognition using random utterance concatenation

One of the limitations in end-to-end automatic speech recognition framew...

0 Haihua Xu, et al. ∙

research

∙ 10/26/2022

Reducing Language confusion for Code-switching Speech Recognition with Token-level Language Diarization

Code-switching (CS) refers to the phenomenon that languages switch withi...

0 Hexin Liu, et al. ∙

research

∙ 07/09/2022

Intermediate-layer output Regularization for Attention-based Speech Recognition with Shared Decoder

Intermediate layer output (ILO) regularization by means of multitask tra...

0 Jicheng Zhang, et al. ∙

research

∙ 07/09/2022

Internal Language Model Estimation based Language Model Fusion for Cross-Domain Code-Switching Speech Recognition

Internal Language Model Estimation (ILME) based language model (LM) fusi...

0 Yizhou Peng, et al. ∙

research

∙ 06/13/2022

Efficient Human-in-the-loop System for Guiding DNNs Attention

Attention guidance is an approach to addressing dataset bias in deep lea...

0 Yi He, et al. ∙

research

∙ 04/25/2022

Online Deep Learning from Doubly-Streaming Data

This paper investigates a new online learning problem with doubly-stream...

0 Heng Lian, et al. ∙

research

∙ 04/16/2022

A Multi-Metric Latent Factor Model for Analyzing High-Dimensional and Sparse data

High-dimensional and sparse (HiDS) matrices are omnipresent in a variety...

0 Di Wu, et al. ∙

research

∙ 04/16/2022

Graph-incorporated Latent Factor Analysis for High-dimensional and Sparse Matrices

A High-dimensional and sparse (HiDS) matrix is frequently encountered in...

0 Di Wu, et al. ∙

research

∙ 03/17/2022

A Systematic Study of Android Non-SDK (Hidden) Service API Security

Android allows apps to communicate with its system services via system s...

0 Yi He, et al. ∙

research

∙ 01/27/2022

Sketch-based 3D Shape Modeling from Sparse Point Clouds

3D modeling based on point clouds is an efficient way to reconstruct and...

0 Xusheng Du, et al. ∙

research

∙ 01/26/2022

Internal language model estimation through explicit context vector learning for attention-based encoder-decoder ASR

An end-to-end (E2E) speech recognition model implicitly learns a biased ...

0 Yufei Liu, et al. ∙

research

∙ 09/17/2021

Asymmetric 3D Context Fusion for Universal Lesion Detection

Modeling 3D context is essential for high-performance 3D medical image a...

8 Jiancheng Yang, et al. ∙

research

∙ 04/23/2021

Sketch-based Normal Map Generation with Geometric Sampling

Normal map is an important and efficient way to represent complex 3D mod...

0 Yi He, et al. ∙

research

∙ 11/03/2020

Improving RNN transducer with normalized jointer network

Recurrent neural transducer (RNN-T) is a promising end-to-end (E2E) mode...

0 Mingkun Huang, et al. ∙

research

∙ 11/03/2020

Dynamic latency speech recognition with asynchronous revision

In this work we propose an inference technique, asynchronous revision, t...

0 Mingkun Huang, et al. ∙

research

∙ 06/18/2020

Generating Fundus Fluorescence Angiography Images from Structure Fundus Images Using Generative Adversarial Networks

Fluorescein angiography can provide a map of retinal vascular structure ...

0 Wanyue Li, et al. ∙

research

∙ 05/05/2020

AlignShift: Bridging the Gap of Imaging Thickness in 3D Anisotropic Volumes

This paper addresses a fundamental challenge in 3D medical image process...

0 Jiancheng Yang, et al. ∙

research

∙ 08/06/2019

Semi-supervised Skin Detection by Network with Mutual Guidance

In this paper we present a new data-driven method for robust skin detect...

3 Yi He, et al. ∙

research

∙ 08/16/2018

On the Convergence of Learning-based Iterative Methods for Nonconvex Inverse Problems

Numerous tasks at the core of statistics, learning and vision areas are ...

12 Risheng Liu, et al. ∙

research

∙ 07/31/2018

Learning Collaborative Generation Correction Modules for Blind Image Deblurring and Beyond

Blind image deblurring plays a very important role in many vision and mu...

2 Risheng Liu, et al. ∙

research

∙ 04/28/2018

Toward Designing Convergent Deep Operator Splitting Methods for Task-specific Nonconvex Optimization

Operator splitting methods have been successfully used in computational ...

0 Risheng Liu, et al. ∙

research

∙ 05/17/2017

Frame Stacking and Retaining for Recurrent Neural Network Acoustic Model

Frame stacking is broadly applied in end-to-end neural network training ...

0 Xu Tian, et al. ∙

research

∙ 03/21/2017

Deep LSTM for Large Vocabulary Continuous Speech Recognition

Recurrent neural networks (RNNs), especially long short-term memory (LST...

0 Xu Tian, et al. ∙

research

∙ 03/03/2017

Exponential Moving Average Model in Parallel Speech Recognition Training

As training data rapid growth, large-scale parallel training with multi-...

0 Xu Tian, et al. ∙

Yi He

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