Lun Du

Orcid: 0000-0002-7625-0650

According to our database1, Lun Du authored at least 74 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Make Heterophilic Graphs Better Fit GNN: A Graph Rewiring Approach.
IEEE Trans. Knowl. Data Eng., December, 2024

Prompting Large Language Models with Divide-and-Conquer Program for Discerning Problem Solving.
CoRR, 2024

Toward Mitigating Misinformation and Social Media Manipulation in LLM Era.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Source Free Graph Unsupervised Domain Adaptation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Professional Network Matters: Connections Empower Person-Job Fit.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

TAROT: A Hierarchical Framework with Multitask co-pretraining on Semi-Structured Data Towards Effective Person-Job fit.
Proceedings of the IEEE International Conference on Acoustics, 2024

TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Tackling Long Code Search with Splitting, Encoding, and Aggregating.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Text-to-Image Generation for Abstract Concepts.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
CoCoAST: Representing Source Code via Hierarchical Splitting and Reconstruction of Abstract Syntax Trees.
Empir. Softw. Eng., November, 2023

A subspace constraint based approach for fast hierarchical graph embedding.
World Wide Web (WWW), September, 2023

SoTaNa: The Open-Source Software Development Assistant.
CoRR, 2023

Leveraging LLMs for KPIs Retrieval from Hybrid Long-Document: A Comprehensive Framework and Dataset.
CoRR, 2023

GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking.
CoRR, 2023

Robust Mid-Pass Filtering Graph Convolutional Networks.
Proceedings of the ACM Web Conference 2023, 2023

Homophily-oriented Heterogeneous Graph Rewiring.
Proceedings of the ACM Web Conference 2023, 2023

DIGMN: Dynamic Intent Guided Meta Network for Differentiated User Engagement Forecasting in Online Professional Social Platforms.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Revisiting Code Search in a Two-Stage Paradigm.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

GetPt: Graph-enhanced General Table Pre-training with Alternate Attention Network.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Causal Discovery from Temporal Data.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Towards Efficient Fine-Tuning of Pre-trained Code Models: An Experimental Study and Beyond.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

CoCoSoDa: Effective Contrastive Learning for Code Search.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Propagate Deeper and Adaptive Graph Convolutional Networks.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Concept Understanding in Large Language Models: An Empirical Study.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method for Pre-trained Language Models.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Unveiling the Black Box of PLMs with Semantic Anchors: Towards Interpretable Neural Semantic Parsing.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

SheetPT: Spreadsheet Pre-training Based on Hierarchical Attention Network.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A large-scale empirical study of commit message generation: models, datasets and evaluation.
Empir. Softw. Eng., 2022

Guiding the PLMs with Semantic Anchors as Intermediate Supervision: Towards Interpretable Semantic Parsing.
CoRR, 2022

Make Heterophily Graphs Better Fit GNN: A Graph Rewiring Approach.
CoRR, 2022

Long Code for Code Search.
CoRR, 2022

Enhancing Semantic Code Search with Multimodal Contrastive Learning and Soft Data Augmentation.
CoRR, 2022

ECMG: Exemplar-based Commit Message Generation.
CoRR, 2022

HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction.
CoRR, 2022

Inferring Network Structure with Unobservable Nodes from Time Series Data.
CoRR, 2022

GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Neuron with Steady Response Leads to Better Generalization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

TrajGAT: A Graph-based Long-term Dependency Modeling Approach for Trajectory Similarity Computation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

On the Evaluation of Neural Code Summarization.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

RACE: Retrieval-augmented Commit Message Generation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Accelerating Code Search with Deep Hashing and Code Classification.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Network Embedding on Hierarchical Community Structure Network.
ACM Trans. Knowl. Discov. Data, 2021

Source Free Unsupervised Graph Domain Adaptation.
CoRR, 2021

GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily.
CoRR, 2021

Neural Code Summarization: How Far Are We?
CoRR, 2021

Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning for Semantic Code Search.
CoRR, 2021

CoCoSum: Contextual Code Summarization with Multi-Relational Graph Neural Network.
CoRR, 2021

Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective.
CoRR, 2021

TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

On the Evaluation of Commit Message Generation Models: An Experimental Study.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2021

Fast Hierarchy Preserving Graph Embedding via Subspace Constraints.
Proceedings of the IEEE International Conference on Acoustics, 2021

CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Neuron Campaign for Initialization Guided by Information Bottleneck Theory.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

AdaptiveGCN: Efficient GCN Through Adaptively Sparsifying Graphs.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning Approach for Semantic Code Search.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Inference for Network Structure and Dynamics from Time Series Data via Graph Neural Network.
CoRR, 2020

Inferring explicit and implicit social ties simultaneously in mobile social networks.
Sci. China Inf. Sci., 2020

Domain Adaptive Classification on Heterogeneous Information Networks.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

TSSRGCN: Temporal Spectral Spatial Retrieval Graph Convolutional Network for Traffic Flow Forecasting.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019
Real-Time Estimation of the Urban Air Quality with Mobile Sensor System.
ACM Trans. Knowl. Discov. Data, 2019

Tag2Vec: Learning Tag Representations in Tag Networks.
Proceedings of the World Wide Web Conference, 2019

DANE: Domain Adaptive Network Embedding.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Tag2Gauss: Learning Tag Representations via Gaussian Distribution in Tagged Networks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Hierarchical Community Structure Preserving Network Embedding: A Subspace Approach.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Traffic Events Oriented Dynamic Traffic Assignment Model for Expressway Network: A Network Flow Approach.
IEEE Intell. Transp. Syst. Mag., 2018

Dynamic Network Embedding : An Extended Approach for Skip-gram based Network Embedding.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Galaxy Network Embedding: A Hierarchical Community Structure Preserving Approach.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018


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