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08/31/2023
Can Programming Languages Boost Each Other via Instruction Tuning?
When human programmers have mastered a programming language, it would be...
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07/27/2023
PanGu-Coder2: Boosting Large Language Models for Code with Ranking Feedback
Large Language Models for Code (Code LLM) are flourishing. New and power...
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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...
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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...
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11/19/2022
Can Gradient Descent Provably Learn Linear Dynamic Systems?
We study the learning ability of linear recurrent neural networks with g...
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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...
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10/28/2022
Reinforcement Learning-based Defect Mitigation for Quality Assurance of Additive Manufacturing
Additive Manufacturing (AM) is a powerful technology that produces compl...
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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...
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08/16/2022
Rational Uniform Consensus with General Omission Failures
Generally, system failures, such as crash failures, Byzantine failures a...
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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...
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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...
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09/29/2021
On the Provable Generalization of Recurrent Neural Networks
Recurrent Neural Network (RNN) is a fundamental structure in deep learni...
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08/05/2020
Robust Tensor Principal Component Analysis: Exact Recovery via Deterministic Model
Tensor, also known as multi-dimensional array, arises from many applicat...
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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...
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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...
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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...
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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...
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07/10/2018
