Shi Han
Orcid: 0000-0002-0360-6089
According to our database1,
Shi Han
authored at least 118 papers
between 2004 and 2024.
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Bibliography
2024
Expert Syst. Appl., 2024
Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior (Extended Version).
CoRR, 2024
CoRR, 2024
CONLINE: Complex Code Generation and Refinement with Online Searching and Correctness Testing.
CoRR, 2024
Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study.
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 17th ACM International Conference on Web Search and Data Mining, 2024
Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery 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
PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 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
CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 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
Proc. ACM Manag. Data, 2023
Leveraging LLMs for KPIs Retrieval from Hybrid Long-Document: A Comprehensive Framework and Dataset.
CoRR, 2023
Evaluating and Enhancing Structural Understanding Capabilities of Large Language Models on Tables via Input Designs.
CoRR, 2023
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 2023 SIAM International Conference on Data Mining, 2023
Auto-Validate by-History: Auto-Program Data Quality Constraints to Validate Recurring Data Pipelines.
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
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
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 Eleventh International Conference on Learning Representations, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 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
AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
HermEs: Interactive Spreadsheet Formula Prediction via Hierarchical Formulet Expansion.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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
LUNA: Language Understanding with Number Augmentations on Transformers via Number Plugins and Pre-training.
CoRR, 2022
Reflection of Thought: Inversely Eliciting Numerical Reasoning in Language Models via Solving Linear Systems.
CoRR, 2022
Guiding the PLMs with Semantic Anchors as Intermediate Supervision: Towards Interpretable Semantic Parsing.
CoRR, 2022
Inferring Tabular Analysis Metadata by Infusing Distribution and Knowledge Information.
CoRR, 2022
ASTA: Learning Analytical Semantics over Tables for Intelligent Data Analysis and Visualization.
CoRR, 2022
TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data.
CoRR, 2022
Enhancing Semantic Code Search with Multimodal Contrastive Learning and Soft Data Augmentation.
CoRR, 2022
Table Pre-training: A Survey on Model Architectures, Pretraining Objectives, and Downstream Tasks.
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
LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries.
Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 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 KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022
TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 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
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
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
MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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 ISSTA '21: 30th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2021
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 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
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
CoRR, 2020
Table2Charts: Learning Shared Representations for Recommending Charts on Multi-dimensional Data.
CoRR, 2020
Learning Formatting Style Transfer and Structure Extraction for Spreadsheet Tables with a Hybrid Neural Network Architecture.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data.
Proceedings of the 2019 International Conference on Management of Data, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
ACM Trans. Cyber Phys. Syst., 2018
Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018
Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, 2018
2017
Proceedings of the 2017 ACM International Conference on Management of Data, 2017
Proceedings of the 39th International Conference on Software Engineering, 2017
2016
Proceedings of the 3rd ACM International Conference on Systems for Energy-Efficient Built Environments, 2016
2015
Proceedings of the Programming Languages and Systems - 13th Asian Symposium, 2015
2014
Proceedings of the Architectural Support for Programming Languages and Operating Systems, 2014
2013
Context-sensitive delta inference for identifying workload-dependent performance bottlenecks.
Proceedings of the International Symposium on Software Testing and Analysis, 2013
2012
Proceedings of the 34th International Conference on Software Engineering, 2012
Proceedings of the 25th IEEE Conference on Software Engineering Education and Training, 2012
2009
Proceedings of the 10th International Conference on Document Analysis and Recognition, 2009
2007
Systematic Multi-Path HMM Topology Design for Online Handwriting Recognition of East Asian Characters.
Proceedings of the 9th International Conference on Document Analysis and Recognition (ICDAR 2007), 2007
2006
Proceedings of the International Conference on Image Processing, 2006
2005
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2005
2004
Sphere-Spin-Image: A Viewpoint-Invariant Surface Representation for 3D Face Recognition.
Proceedings of the Computational Science, 2004
Proceedings of the Sixth IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2004), 2004