Rui Ding

Orcid: 0000-0003-3990-7403

Affiliations:
  • Microsoft Research Asia, Beijing, China


According to our database1, Rui Ding authored at least 27 papers between 2012 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Causality-Based Visual Analysis of Questionnaire Responses.
IEEE Trans. Vis. Comput. Graph., January, 2024

FXAM: A unified and fast interpretable model for predictive analytics.
Expert Syst. Appl., 2024

Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior (Extended Version).
CoRR, 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

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
XInsight: eXplainable Data Analysis Through The Lens of Causality.
Proc. ACM Manag. Data, 2023

Demonstration of InsightPilot: An LLM-Empowered Automated Data Exploration System.
CoRR, 2023

ML4C: Seeing Causality Through Latent Vicinity.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

InsightPilot: An LLM-Empowered Automated Data Exploration System.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
pureGAM: Learning an Inherently Pure Additive Model.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

ML4S: Learning Causal Skeleton from Vicinal Graphs.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021
A Unified and Fast Interpretable Model for Predictive Analytics.
CoRR, 2021

MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2020
Reliable and Efficient Anytime Skeleton Learning.
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

2017
Experience report on applying software analytics in incident management of online service.
Autom. Softw. Eng., 2017

Extracting Top-K Insights from Multi-dimensional Data.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

2015
YADING: Fast Clustering of Large-Scale Time Series Data.
Proc. VLDB Endow., 2015

Log2: A Cost-Aware Logging Mechanism for Performance Diagnosis.
Proceedings of the 2015 USENIX Annual Technical Conference, 2015

2014
Correlating events with time series for incident diagnosis.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Where do developers log? an empirical study on logging practices in industry.
Proceedings of the 36th International Conference on Software Engineering, 2014

Identifying Recurrent and Unknown Performance Issues.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Mining Historical Issue Repositories to Heal Large-Scale Online Service Systems.
Proceedings of the 44th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2014

2013
Contextual analysis of program logs for understanding system behaviors.
Proceedings of the 10th Working Conference on Mining Software Repositories, 2013

Software analytics for incident management of online services: An experience report.
Proceedings of the 2013 28th IEEE/ACM International Conference on Automated Software Engineering, 2013

2012
Performance Issue Diagnosis for Online Service Systems.
Proceedings of the IEEE 31st Symposium on Reliable Distributed Systems, 2012

Healing online service systems via mining historical issue repositories.
Proceedings of the IEEE/ACM International Conference on Automated Software Engineering, 2012


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