b'Shuai Lu'

research

∙ 06/27/2023

Constructing Multilingual Code Search Dataset Using Neural Machine Translation

Code search is a task to find programming codes that semantically match ...

0 Ryo Sekizawa, et al. ∙

research

∙ 06/25/2023

Im2win: Memory Efficient Convolution On SIMD Architectures

Convolution is the most expensive operation among neural network operati...

0 Shuai Lu, et al. ∙

research

∙ 06/25/2023

Im2win: An Efficient Convolution Paradigm on GPU

Convolution is the most time-consuming operation in deep neural network ...

0 Shuai Lu, et al. ∙

research

∙ 06/05/2023

ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction

Most advanced unsupervised anomaly detection (UAD) methods rely on model...

0 Jia Guo, et al. ∙

research

∙ 05/24/2023

Harmonic Measures and Numerical Computation of Cauchy Problems for Laplace Equations

It is well known that Cauchy problem for Laplace equations is an ill-pos...

0 Yu Chen, et al. ∙

research

∙ 05/08/2023

Code Execution with Pre-trained Language Models

Code execution is a fundamental aspect of programming language semantics...

0 Chenxiao Liu, et al. ∙

research

∙ 04/13/2023

AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models

Evaluating the general abilities of foundation models to tackle human-le...

0 Wanjun Zhong, et al. ∙

research

∙ 03/29/2023

TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs

Artificial Intelligence (AI) has made incredible progress recently. On t...

0 Yaobo Liang, et al. ∙

research

∙ 03/13/2023

InferFix: End-to-End Program Repair with LLMs

Software development life cycle is profoundly influenced by bugs: their ...

0 Matthew Jin, et al. ∙

research

∙ 10/19/2022

Conditional Goal-oriented Trajectory Prediction for Interacting Vehicles with Vectorized Representation

This paper aims to tackle the interactive behavior prediction task, and ...

0 Ding Li, et al. ∙

research

∙ 07/27/2022

On a Dynamic Variant of the Iteratively Regularized Gauss-Newton Method with Sequential Data

For numerous parameter and state estimation problems, assimilating new d...

0 Neil K. Chada, et al. ∙

research

∙ 05/28/2022

Discrimination-Based Double Auction for Maximizing Social Welfare in the Electricity and Heating Market Considering Privacy Preservation

This paper proposes a doubled-sided auction mechanism with price discrim...

0 Lu Wang, et al. ∙

research

∙ 03/17/2022

CodeReviewer: Pre-Training for Automating Code Review Activities

Code review is an essential part to software development lifecycle since...

0 Zhiyu Li, et al. ∙

research

∙ 03/15/2022

ReACC: A Retrieval-Augmented Code Completion Framework

Code completion, which aims to predict the following code token(s) accor...

0 Shuai Lu, et al. ∙

research

∙ 02/14/2022

GAMMA Challenge:Glaucoma grAding from Multi-Modality imAges

Color fundus photography and Optical Coherence Tomography (OCT) are the ...

5 Junde Wu, et al. ∙

research

∙ 01/26/2022

Learning to Recommend Method Names with Global Context

In programming, the names for the program entities, especially for the m...

0 Fang Liu, et al. ∙

research

∙ 09/17/2021

Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy

Statistical language modeling and translation with transformers have fou...

0 Colin B. Clement, et al. ∙

research

∙ 07/25/2021

Evolutionary Generative Adversarial Networks based on New Fitness Function and Generic Crossover Operator

Evolutionary generative adversarial networks (E-GAN) attempts to allevia...

0 Junjie Li, et al. ∙

research

∙ 04/05/2021

WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach

Producing the embedding of a sentence in an unsupervised way is valuable...

0 Junjie Huang, et al. ∙

research

∙ 01/27/2021

Evolutionary Generative Adversarial Networks with Crossover Based Knowledge Distillation

Generative Adversarial Networks (GAN) is an adversarial model, and it ha...

19 Junjie Li, et al. ∙

research

∙ 11/11/2020

Proximal Policy Optimization via Enhanced Exploration Efficiency

Proximal policy optimization (PPO) algorithm is a deep reinforcement lea...

0 Junwei Zhang, et al. ∙

research

∙ 09/22/2020

CodeBLEU: a Method for Automatic Evaluation of Code Synthesis

Evaluation metrics play a vital role in the growth of an area as it defi...

0 Shuo Ren, et al. ∙

research

∙ 09/17/2020

GraphCodeBERT: Pre-training Code Representations with Data Flow

Pre-trained models for programming language have achieved dramatic empir...

0 Daya Guo, et al. ∙

research

∙ 07/01/2020

Regularly Updated Deterministic Policy Gradient Algorithm

Deep Deterministic Policy Gradient (DDPG) algorithm is one of the most w...

0 Shuai Han, et al. ∙

research

∙ 06/19/2020

NROWAN-DQN: A Stable Noisy Network with Noise Reduction and Online Weight Adjustment for Exploration

Deep reinforcement learning has been applied more and more widely nowada...

0 Shuai Han, et al. ∙

research

∙ 04/09/2020

On the asymptotical regularization for linear inverse problems in presence of white noise

We interpret steady linear statistical inverse problems as artificial dy...

0 Shuai Lu, et al. ∙

research

∙ 12/13/2019

Recruitment-imitation Mechanism for Evolutionary Reinforcement Learning

Reinforcement learning, evolutionary algorithms and imitation learning a...

0 Shuai Lu, et al. ∙

research

∙ 06/03/2018

Analysis of regularized Nyström subsampling for regression functions of low smoothness

This paper studies a Nyström type subsampling approach to large kernel l...

0 Shuai Lu, et al. ∙

research

∙ 12/06/2017

Why Do Neural Dialog Systems Generate Short and Meaningless Replies? A Comparison between Dialog and Translation

This paper addresses the question: Why do neural dialog systems generate...

0 Bolin Wei, et al. ∙

Shuai Lu

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