Tianyi Liu

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Shanghai Jiao Tong University

∙

Georgia Institute of Technology

Featured Co-authors

Wei Wang
373 publications
Jun Zhang
174 publications
Peng Wang
156 publications
Zhaoran Wang
96 publications
Zhuoran Yang
84 publications
Tuo Zhao
75 publications
Yan Li
75 publications
Simon S. Du
74 publications
Yizhou Wang
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Yu-Gang Jiang
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Jianping Shi
64 publications

∙ 04/28/2022

Tag-assisted Multimodal Sentiment Analysis under Uncertain Missing Modalities

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

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...

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...

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...

Guojing Cong, et al. ∙

∙ 06/17/2021

Recovery under Side Constraints

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

Khaled Ardah, et al. ∙

∙ 05/02/2021

GODSAC: Graph Optimized DSAC for Robot Relocalization

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

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

Tianyi Liu, et al. ∙