Tianyi Liu | DeepAI

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Wei Wang
492 publications
Hao Wang
366 publications
Peng Wang
224 publications
Jun Zhang
202 publications
Xin Yang
157 publications
Zhaoran Wang
121 publications
Zhuoran Yang
110 publications
Yan Li
103 publications
Yu-Gang Jiang
101 publications
Hongyuan Zha
98 publications
Simon S. Du
95 publications

∙ 09/07/2023

Multi-Modality Guidance Network For Missing Modality Inference

Multimodal models have gained significant success in recent years. Stand...

0 Zhuokai Zhao, et al. ∙

∙ 06/13/2023

Taxonomy-Structured Domain Adaptation

Domain adaptation aims to mitigate distribution shifts among different d...

0 Tianyi Liu, et al. ∙

∙ 01/18/2023

Label Inference Attack against Split Learning under Regression Setting

As a crucial building block in vertical Federated Learning (vFL), Split ...

0 Shangyu Xie, et al. ∙

∙ 10/11/2022

UGformer for Robust Left Atrium and Scar Segmentation Across Scanners

Thanks to the capacity for long-range dependencies and robustness to irr...

0 Tianyi Liu, et al. ∙

∙ 09/15/2022

Differentially Private Estimation of Hawkes Process

Point process models are of great importance in real world applications....

0 Simiao Zuo, et al. ∙

∙ 06/16/2022

Differentially Private Multi-Party Data Release for Linear Regression

Differentially Private (DP) data release is a promising technique to dis...

11 Ruihan Wu, et al. ∙

∙ 04/28/2022

Tag-assisted Multimodal Sentiment Analysis under Uncertain Missing Modalities

Multimodal sentiment analysis has been studied under the assumption that...

0 Jiandian Zeng, et al. ∙

∙ 02/07/2022

Noise Regularizes Over-parameterized Rank One Matrix Recovery, Provably

We investigate the role of noise in optimization algorithms for learning...

0 Tianyi Liu, et al. ∙

∙ 12/10/2021

Unified Multimodal Pre-training and Prompt-based Tuning for Vision-Language Understanding and Generation

Most existing vision-language pre-training methods focus on understandin...

0 Tianyi Liu, et al. ∙

∙ 10/01/2021

Accelerate Distributed Stochastic Descent for Nonconvex Optimization with Momentum

Momentum method has been used extensively in optimizers for deep learnin...

0 Guojing Cong, et al. ∙

∙ 06/17/2021

Recovery under Side Constraints

This paper addresses sparse signal reconstruction under various types of...

0 Khaled Ardah, et al. ∙

∙ 05/02/2021

GODSAC: Graph Optimized DSAC for Robot Relocalization

Deep learning based camera pose estimation from monocular camera images ...

0 Alphonsus Adu-Bredu, et al. ∙

∙ 02/24/2021

Noisy Gradient Descent Converges to Flat Minima for Nonconvex Matrix Factorization

Numerous empirical evidences have corroborated the importance of noise i...

0 Tianyi Liu, et al. ∙

∙ 12/18/2020

Regularized Attentive Capsule Network for Overlapped Relation Extraction

Distantly supervised relation extraction has been widely applied in know...

0 Tianyi Liu, et al. ∙

∙ 06/23/2020

A Benchmarking Framework for Interactive 3D Applications in the Cloud

With the growing popularity of cloud gaming and cloud virtual reality (V...

0 Tianyi Liu, et al. ∙

∙ 01/09/2020

On Computation and Generalization of Generative Adversarial Imitation Learning

Generative Adversarial Imitation Learning (GAIL) is a powerful and pract...

15 Minshuo Chen, et al. ∙

∙ 12/24/2019

Online Quantification of Input Model Uncertainty by Two-Layer Importance Sampling

Stochastic simulation has been widely used to analyze the performance of...

0 Tianyi Liu, et al. ∙

∙ 09/10/2019

Towards Understanding the Importance of Shortcut Connections in Residual Networks

Residual Network (ResNet) is undoubtedly a milestone in deep learning. R...

2 Tianyi Liu, et al. ∙

∙ 09/07/2019

Towards Understanding the Importance of Noise in Training Neural Networks

Numerous empirical evidence has corroborated that the noise plays a cruc...

43 Mo Zhou, et al. ∙

∙ 08/21/2018

Neural Relation Extraction via Inner-Sentence Noise Reduction and Transfer Learning

Extracting relations is critical for knowledge base completion and const...

0 Tianyi Liu, et al. ∙

∙ 06/04/2018

Towards Understanding Acceleration Tradeoff between Momentum and Asynchrony in Nonconvex Stochastic Optimization

Asynchronous momentum stochastic gradient descent algorithms (Async-MSGD...

0 Tianyi Liu, et al. ∙

∙ 02/14/2018

Toward Deeper Understanding of Nonconvex Stochastic Optimization with Momentum using Diffusion Approximations

Momentum Stochastic Gradient Descent (MSGD) algorithm has been widely ap...

0 Tianyi Liu, et al. ∙

∙ 06/03/2015

Implementation of Training Convolutional Neural Networks

Deep learning refers to the shining branch of machine learning that is b...

0 Tianyi Liu, et al. ∙

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