Lun Du
Orcid: 0000-0002-7625-0650
According to our database1,
Lun Du
authored at least 73 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Prompting Large Language Models with Divide-and-Conquer Program for Discerning Problem Solving.
CoRR, 2024
TAROT: A Hierarchical Framework with Multitask Co-Pretraining on Semi-Structured Data towards Effective Person-Job Fit.
CoRR, 2024
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
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
World Wide Web (WWW), September, 2023
TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning.
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
Proceedings of the ACM Web Conference 2023, 2023
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
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
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
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
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
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023
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
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
Enhancing Semantic Code Search with Multimodal Contrastive Learning and Soft Data Augmentation.
CoRR, 2022
HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction.
CoRR, 2022
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
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
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022
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
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
ACM Trans. Knowl. Discov. Data, 2021
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily.
CoRR, 2021
Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning for Semantic Code Search.
CoRR, 2021
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
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2021
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
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
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
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
ACM Trans. Knowl. Discov. Data, 2019
Proceedings of the World Wide Web Conference, 2019
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
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
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018