b'Lun Du'

research

∙ 08/25/2023

SoTaNa: The Open-Source Software Development Assistant

Software development plays a crucial role in driving innovation and effi...

0 Ensheng Shi, et al. ∙

research

∙ 06/06/2023

On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering

Collaborative filtering (CF) is an important research direction in recom...

0 Jiayan Guo, et al. ∙

research

∙ 05/24/2023

GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking

Large language models (LLM) like ChatGPT have become indispensable to ar...

0 Jiayan Guo, et al. ∙

research

∙ 05/24/2023

Leveraging LLMs for KPIs Retrieval from Hybrid Long-Document: A Comprehensive Framework and Dataset

Large Language Models (LLMs) demonstrate exceptional performance in text...

0 Chongjian Yue, et al. ∙

research

∙ 05/22/2023

Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention

In recent years, attention mechanisms have demonstrated significant pote...

0 Hongjun Wang, et al. ∙

research

∙ 04/11/2023

Towards Efficient Fine-tuning of Pre-trained Code Models: An Experimental Study and Beyond

Recently, fine-tuning pre-trained code models such as CodeBERT on downst...

0 Ensheng Shi, et al. ∙

research

∙ 02/16/2023

Robust Mid-Pass Filtering Graph Convolutional Networks

Graph convolutional networks (GCNs) are currently the most promising par...

1 Jincheng Huang, et al. ∙

research

∙ 02/13/2023

Homophily-oriented Heterogeneous Graph Rewiring

With the rapid development of the World Wide Web (WWW), heterogeneous gr...

0 Jiayan Guo, et al. ∙

research

∙ 10/22/2022

DIGMN: Dynamic Intent Guided Meta Network for Differentiated User Engagement Forecasting in Online Professional Social Platforms

User engagement prediction plays a critical role for designing interacti...

0 Feifan Li, et al. ∙

research

∙ 10/04/2022

Guiding the PLMs with Semantic Anchors as Intermediate Supervision: Towards Interpretable Semantic Parsing

The recent prevalence of pretrained language models (PLMs) has dramatica...

0 Lunyiu Nie, et al. ∙

research

∙ 09/17/2022

Make Heterophily Graphs Better Fit GNN: A Graph Rewiring Approach

Graph Neural Networks (GNNs) are popular machine learning methods for mo...

1 Wendong Bi, et al. ∙

research

∙ 08/25/2022

Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima

Learning rate is one of the most important hyper-parameters that has a s...

0 Hengyu Liu, et al. ∙

research

∙ 08/15/2022

MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution

Graph Neural Networks (GNNs) have shown expressive performance on graph ...

1 Wendong Bi, et al. ∙

research

∙ 04/07/2022

Enhancing Semantic Code Search with Multimodal Contrastive Learning and Soft Data Augmentation

Code search aims to retrieve the most semantically relevant code snippet...

0 Ensheng Shi, et al. ∙

research

∙ 03/29/2022

Accelerating Code Search with Deep Hashing and Code Classification

Code search is to search reusable code snippets from source code corpus ...

0 Wenchao Gu, et al. ∙

research

∙ 03/05/2022

ECMG: Exemplar-based Commit Message Generation

Commit messages concisely describe the content of code diffs (i.e., code...

0 Ensheng Shia, et al. ∙

research

∙ 02/25/2022

HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction

With the development of temporal networks such as E-commerce networks an...

1 Chongjian Yue, et al. ∙

research

∙ 12/02/2021

Source Free Unsupervised Graph Domain Adaptation

Graph Neural Networks (GNNs) have achieved great success on a variety of...

0 Haitao Mao, et al. ∙

research

∙ 11/30/2021

Neuron with Steady Response Leads to Better Generalization

Regularization can mitigate the generalization gap between training and ...

0 Qiang Fu, et al. ∙

research

∙ 10/29/2021

GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily

Graph Neural Networks (GNNs) are widely used on a variety of graph-based...

0 Lun Du, et al. ∙

research

∙ 08/30/2021

CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees

Code summarization aims to generate concise natural language description...

0 Ensheng Shi, et al. ∙

research

∙ 08/14/2021

Neuron Campaign for Initialization Guided by Information Bottleneck Theory

Initialization plays a critical role in the training of deep neural netw...

0 Haitao Mao, et al. ∙

research

∙ 07/15/2021

Neural Code Summarization: How Far Are We?

Source code summaries are important for the comprehension and maintenanc...

14 Ensheng Shi, et al. ∙

research

∙ 07/12/2021

On the Evaluation of Commit Message Generation Models: An Experimental Study

Commit messages are natural language descriptions of code changes, which...

0 Wei Tao, et al. ∙

research

∙ 07/10/2021

Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning for Semantic Code Search

Recently, deep learning methods have become mainstream in code search si...

0 Lun Du, et al. ∙

research

∙ 07/05/2021

CoCoSum: Contextual Code Summarization with Multi-Relational Graph Neural Network

Source code summaries are short natural language descriptions of code sn...

0 Yanlin Wang, et al. ∙

research

∙ 06/06/2021

TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data

Tabular data are ubiquitous for the widespread applications of tables an...

0 Lun Du, et al. ∙

research

∙ 05/17/2021

Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective

Network Embedding aims to learn a function mapping the nodes to Euclidea...

0 Lun Du, et al. ∙

research

∙ 11/30/2020

TSSRGCN: Temporal Spectral Spatial Retrieval Graph Convolutional Network for Traffic Flow Forecasting

Traffic flow forecasting is of great significance for improving the effi...

0 Xu Chen, et al. ∙

research

∙ 01/18/2020

Inference for Network Structure and Dynamics from Time Series Data via Graph Neural Network

Network structures in various backgrounds play important roles in social...

0 Mengyuan Chen, et al. ∙

research

∙ 06/03/2019

DANE: Domain Adaptive Network Embedding

Recent works reveal that network embedding techniques enable many machin...

0 Yizhou Zhang, et al. ∙

Lun Du

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