Dongmei Zhang
Orcid: 0000-0002-9230-2799Affiliations:
- Microsoft Research Asia, Beijing, China
- Carnegie Mellon University, School of Computer Science, Pittsburgh, PA, USA (PhD 1999)
According to our database1,
Dongmei Zhang
authored at least 319 papers
between 1997 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Knowl. Data Eng., December, 2024
Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations.
Proc. ACM Manag. Data, 2024
Expert Syst. Appl., 2024
Navigating the Unknown: A Chat-Based Collaborative Interface for Personalized Exploratory Tasks.
CoRR, 2024
Table-LLM-Specialist: Language Model Specialists for Tables using Iterative Generator-Validator Fine-tuning.
CoRR, 2024
Turn Every Application into an Agent: Towards Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents.
CoRR, 2024
AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation.
CoRR, 2024
Towards Truthful Multilingual Large Language Models: Benchmarking and Alignment Strategies.
CoRR, 2024
Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation.
CoRR, 2024
Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior (Extended Version).
CoRR, 2024
An Advanced Reinforcement Learning Framework for Online Scheduling of Deferrable Workloads in Cloud Computing.
CoRR, 2024
CoRR, 2024
Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection.
CoRR, 2024
Verco: Learning Coordinated Verbal Communication for Multi-agent Reinforcement Learning.
CoRR, 2024
AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models.
CoRR, 2024
CONLINE: Complex Code Generation and Refinement with Online Searching and Correctness Testing.
CoRR, 2024
Ploutos: Towards interpretable stock movement prediction with financial large language model.
CoRR, 2024
Why does Prediction Accuracy Decrease over Time? Uncertain Positive Learning for Cloud Failure Prediction.
CoRR, 2024
COIN: Chance-Constrained Imitation Learning for Uncertainty-aware Adaptive Resource Oversubscription Policy.
CoRR, 2024
Risk-aware Adaptive Virtual CPU Oversubscription in Microsoft Cloud via Prototypical Human-in-the-loop Imitation Learning.
CoRR, 2024
Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective.
Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 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 Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024
DorPatch: Distributed and Occlusion-Robust Adversarial Patch to Evade Certifiable Defenses.
Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery 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
Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024
Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024
Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning.
Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024
Xpert: Empowering Incident Management with Query Recommendations via Large Language Models.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024
Proceedings of the Nineteenth European Conference on Computer Systems, 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
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 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
AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Deoxys: A Causal Inference Engine for Unhealthy Node Mitigation in Large-scale Cloud Infrastructure.
Proceedings of the 2024 ACM Symposium on Cloud Computing, 2024
COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments.
Proceedings of the Findings of the Association for 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
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection.
Proc. VLDB Endow., November, 2023
CoCoAST: Representing Source Code via Hierarchical Splitting and Reconstruction of Abstract Syntax Trees.
Empir. Softw. Eng., November, 2023
Aesthetics++: Refining Graphic Designs by Exploring Design Principles and Human Preference.
IEEE Trans. Vis. Comput. Graph., June, 2023
IEEE Trans. Vis. Comput. Graph., 2023
Proc. ACM Manag. Data, 2023
CoRR, 2023
Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations.
CoRR, 2023
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct.
CoRR, 2023
Leveraging LLMs for KPIs Retrieval from Hybrid Long-Document: A Comprehensive Framework and Dataset.
CoRR, 2023
Empowering Practical Root Cause Analysis by Large Language Models for Cloud Incidents.
CoRR, 2023
Evaluating and Enhancing Structural Understanding Capabilities of Large Language Models on Tables via Input Designs.
CoRR, 2023
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering.
CoRR, 2023
CoRR, 2023
Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning.
Proceedings of the ACM Web Conference 2023, 2023
HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the ACM Web Conference 2023, 2023
Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 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
Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023
TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Focusing on Pinocchio's Nose: A Gradients Scrutinizer to Thwart Split-Learning Hijacking Attacks Using Intrinsic Attributes.
Proceedings of the 30th Annual Network and Distributed System Security Symposium, 2023
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
Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Root Cause Analysis for Microservice Systems via Hierarchical Reinforcement Learning from Human Feedback.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and 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
CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023
TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2023
Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2023
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2023
Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 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
A Parse-Then-Place Approach for Generating Graphic Layouts from Textual Descriptions.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads.
Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Network, 2023
LayoutFormer++: Conditional Graphic Layout Generation via Constraint Serialization and Decoding Space Restriction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 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
Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 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
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
MultiVision: Designing Analytical Dashboards with Deep Learning Based Recommendation.
IEEE Trans. Vis. Comput. Graph., 2022
IEEE Trans. Vis. Comput. Graph., 2022
IEEE Trans. Vis. Comput. Graph., 2022
An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection.
ACM SIGOPS Oper. Syst. Rev., 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
Enhanced Fairness Testing via Generating Effective Initial Individual Discriminatory Instances.
CoRR, 2022
Inferring Tabular Analysis Metadata by Infusing Distribution and Knowledge Information.
CoRR, 2022
UniLayout: Taming Unified Sequence-to-Sequence Transformers for Graphic Layout Generation.
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
Comput. Graph. Forum, 2022
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 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 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 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
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365.
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
Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems.
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 IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22, 2022
T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 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
DeepTraLog: Trace-Log Combined Microservice Anomaly Detection through Graph-based Deep Learning.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022
Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 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 CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 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
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Retrieve-Then-Adapt: Example-based Automatic Generation for Proportion-related Infographics.
IEEE Trans. Vis. Comput. Graph., 2021
IEEE Trans. Vis. Comput. Graph., 2021
CoRR, 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
AniVis: Generating Animated Transitions Between Statistical Charts with a Tree Model.
CoRR, 2021
Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective.
CoRR, 2021
Comput. Graph. Forum, 2021
NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms.
Proceedings of the WWW '21: The Web Conference 2021, 2021
AnaSearch: Extract, Retrieve and Visualize Structured Results from Unstructured Text for Analytical Queries.
Proceedings of the WSDM '21, 2021
Proceedings of the 2021 USENIX Annual Technical Conference, 2021
Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021
Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021
LS-sampling: an effective local search based sampling approach for achieving high t-wise coverage.
Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021
Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 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 Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 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
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 36th IEEE/ACM International Conference on Automated Software Engineering, 2021
Proceedings of the ISSTA '21: 30th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2021
Proceedings of the 32nd IEEE International Symposium on Software Reliability Engineering, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2021
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 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 Findings of the Association for Computational Linguistics: EMNLP 2021, 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
Returning to the Office During the COVID-19 Pandemic Recovery: Early Indicators from China.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
IEEE Trans. Vis. Comput. Graph., 2020
Text-to-Viz: Automatic Generation of Infographics from Proportion-Related Natural Language Statements.
IEEE Trans. Vis. Comput. Graph., 2020
CoRR, 2020
Table2Charts: Learning Shared Representations for Recommending Charts on Multi-dimensional Data.
CoRR, 2020
How to mitigate the incident? an effective troubleshooting guide recommendation technique for online service systems.
Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020
Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020
Efficient incident identification from multi-dimensional issue reports via meta-heuristic search.
Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020
Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020
Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
How Incidental are the Incidents? Characterizing and Prioritizing Incidents for Large-Scale Online Service Systems.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in Context.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
"What Do You Mean by That?" A Parser-Independent Interactive Approach for Enhancing Text-to-SQL.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 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 58th Annual Meeting of the Association for Computational Linguistics, 2020
Table2Analysis: Modeling and Recommendation of Common Analysis Patterns for Multi-Dimensional Data.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Comput. Graph. Forum, 2019
Proceedings of the World Wide Web Conference, 2019
Proceedings of the 2019 USENIX Annual Technical Conference, 2019
Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 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 34th IEEE/ACM International Conference on Automated Software Engineering, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 41st International Conference on Software Engineering: Software Engineering in Practice, 2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
ACM Trans. Cyber Phys. Syst., 2018
Proceedings of the 2018 USENIX Annual Technical Conference, 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 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 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 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, 2018
Proceedings of the 5th IEEE/ACM International Workshop on Software Engineering Research and Industrial Practice, 2018
SemRegex: A Semantics-Based Approach for Generating Regular Expressions from Natural Language Specifications.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018
Generating Regular Expressions from Natural Language Specifications: Are We There Yet?
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Experience report on applying software analytics in incident management of online service.
Autom. Softw. Eng., 2017
Proceedings of the 2017 ACM International Conference on Management of Data, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the 39th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice Track, 2017
2016
Proceedings of the 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2016
Proceedings of the 3rd ACM International Conference on Systems for Energy-Efficient Built Environments, 2016
Proceedings of the 38th International Conference on Software Engineering, 2016
Proceedings of the Perspectives on Data Science for Software Engineering, 2016
Proceedings of the Perspectives on Data Science for Software Engineering, 2016
Proceedings of the Perspectives on Data Science for Software Engineering, 2016
2015
IEEE Softw., 2015
J. Comput. Sci. Technol., 2015
Proceedings of the 2015 USENIX Annual Technical Conference, 2015
CodeHow: Effective Code Search Based on API Understanding and Extended Boolean Model (E).
Proceedings of the 30th IEEE/ACM International Conference on Automated Software Engineering, 2015
Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015
Proceedings of the Programming Languages and Systems - 13th Asian Symposium, 2015
2014
IEEE Trans. Software Eng., 2014
Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering, (FSE-22), Hong Kong, China, November 16, 2014
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Proceedings of the 36th International Conference on Software Engineering, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
Proceedings of the 44th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2014
Proceedings of the Architectural Support for Programming Languages and Operating Systems, 2014
2013
NII Shonan Meet. Rep., 2013
Proceedings of the 10th Working Conference on Mining Software Repositories, 2013
Proceedings of the 10th Working Conference on Mining Software Repositories, 2013
Proceedings of the 2013 28th IEEE/ACM International Conference on Automated Software Engineering, 2013
Context-sensitive delta inference for identifying workload-dependent performance bottlenecks.
Proceedings of the International Symposium on Software Testing and Analysis, 2013
Pathways to technology transfer and adoption: achievements and challenges (mini-tutorial).
Proceedings of the 35th International Conference on Software Engineering, 2013
Proceedings of the 35th International Conference on Software Engineering, 2013
2012
Proceedings of the IEEE 31st Symposium on Reliable Distributed Systems, 2012
How do software engineers understand code changes?: an exploratory study in industry.
Proceedings of the 20th ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE-20), 2012
Proceedings of the 9th IEEE Working Conference of Mining Software Repositories, 2012
Proceedings of the IEEE/ACM International Conference on Automated Software Engineering, 2012
Proceedings of the IEEE/ACM International Conference on Automated Software Engineering, 2012
Proceedings of the 34th International Conference on Software Engineering, 2012
Proceedings of the 34th International Conference on Software Engineering, 2012
ReBucket: A method for clustering duplicate crash reports based on call stack similarity.
Proceedings of the 34th International Conference on Software Engineering, 2012
Proceedings of the 25th IEEE Conference on Software Engineering Education and Training, 2012
Proceedings of the 28th Annual Computer Security Applications Conference, 2012
2011
Proceedings of the Proceeding of the 5th ICSE International Workshop on Software Clones, 2011
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
Face-tracking as an augmented input in video games: enhancing presence, role-playing and control.
Proceedings of the 2006 Conference on Human Factors in Computing Systems, 2006
1999
Harmonic Shape Images: A Representation for 3D Free-Form Surfaces Based on Energy Minimization.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 1999
Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition (CVPR '99), 1999
Proceedings of the 2nd International Conference on 3D Digital Imaging and Modeling (3DIM '99), 1999
1997
Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), 1997