Bo Shen | DeepAI

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Featured Co-authors

Wei Zhang
349 publications
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Bo Hu
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Weijun Xie
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Haiyan Zhao
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∙ 03/13/2023

Provable Convergence of Tensor Decomposition-Based Neural Network Training

Advanced tensor decomposition, such as tensor train (TT), has been widel...

0 Chenyang Li, et al. ∙

∙ 02/01/2023

CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models

Code generation models based on the pre-training and fine-tuning paradig...

0 Hao Yu, et al. ∙

∙ 11/19/2022

Can Gradient Descent Provably Learn Linear Dynamic Systems?

We study the learning ability of linear recurrent neural networks with g...

0 Lifu Wang, et al. ∙

∙ 10/28/2022

Anomaly Detection in Additive Manufacturing Processes using Supervised Classification with Imbalanced Sensor Data based on Generative Adversarial Network

Supervised classification methods have been widely utilized for the qual...

0 Jihoon Chung, et al. ∙

∙ 10/28/2022

Reinforcement Learning-based Defect Mitigation for Quality Assurance of Additive Manufacturing

Additive Manufacturing (AM) is a powerful technology that produces compl...

0 Jihoon Chung, et al. ∙

∙ 10/28/2022

A Novel Sparse Bayesian Learning and Its Application to Fault Diagnosis for Multistation Assembly Systems

This paper addresses the problem of fault diagnosis in multistation asse...

0 Jihoon Chung, et al. ∙

∙ 08/16/2022

Rational Uniform Consensus with General Omission Failures

Generally, system failures, such as crash failures, Byzantine failures a...

0 Yansong Zhang, et al. ∙

∙ 04/26/2022

Self-scalable Tanh (Stan): Faster Convergence and Better Generalization in Physics-informed Neural Networks

Physics-informed Neural Networks (PINNs) are gaining attention in the en...

14 Raghav Gnanasambandam, et al. ∙

∙ 03/29/2022

Smooth Robust Tensor Completion for Background/Foreground Separation with Missing Pixels: Novel Algorithm with Convergence Guarantee

The objective of this study is to address the problem of background/fore...

12 Bo Shen, et al. ∙

∙ 09/29/2021

On the Provable Generalization of Recurrent Neural Networks

Recurrent Neural Network (RNN) is a fundamental structure in deep learni...

10 Lifu Wang, et al. ∙

∙ 08/05/2020

Robust Tensor Principal Component Analysis: Exact Recovery via Deterministic Model

Tensor, also known as multi-dimensional array, arises from many applicat...

11 Bo Shen, et al. ∙

∙ 06/10/2020

Is the Skip Connection Provable to Reform the Neural Network Loss Landscape?

The residual network is now one of the most effective structures in deep...

9 Lifu Wang, et al. ∙

∙ 10/14/2019

On the Convergence of Perturbed Distributed Asynchronous Stochastic Gradient Descent to Second Order Stationary Points in Non-convex Optimization

In this paper, the second order convergence of non-convex optimization i...

0 Lifu Wang, et al. ∙

∙ 11/28/2018

Solving Pictorial Jigsaw Puzzle by Stigmergy-inspired Internet-based Human Collective Intelligence

The pictorial jigsaw (PJ) puzzle is a well-known leisure game for humans...

0 Bo Shen, et al. ∙

∙ 07/10/2018

The asymptotic behaviors of self excitation information diffusion processes for a large number of individuals

The dynamics of opinion is a complex and interesting process, especially...

0 Lifu Wang, et al. ∙

∙ 07/10/2018

The asymptotic behaviors of Hawkes information diffusion processes for a large number of individuals

The dynamics of opinion is a complex and interesting process, especially...

0 Lifu Wang, et al. ∙