Jian-Guang Lou

Orcid: 0000-0001-8496-033X

According to our database1, Jian-Guang Lou authored at least 126 papers between 2005 and 2024.

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Bibliography

2024
Tapilot-Crossing: Benchmarking and Evolving LLMs Towards Interactive Data Analysis Agents.
CoRR, 2024

2023
UniSAr: a unified structure-aware autoregressive language model for text-to-SQL semantic parsing.
Int. J. Mach. Learn. Cybern., December, 2023

RetroRanker: leveraging reaction changes to improve retrosynthesis prediction through re-ranking.
J. Cheminformatics, December, 2023

Data Transformation to Construct a Dataset for Generating Entity-Relationship Model from Natural Language.
CoRR, 2023

Thread of Thought Unraveling Chaotic Contexts.
CoRR, 2023

Retro-BLEU: Quantifying Chemical Plausibility of Retrosynthesis Routes through Reaction Template Sequence Analysis.
CoRR, 2023

Learning From Mistakes Makes LLM Better Reasoner.
CoRR, 2023

A Survey for Graphic Design Intelligence.
CoRR, 2023

Uncovering and Quantifying Social Biases in Code Generation.
CoRR, 2023

TACR: A Table-alignment-based Cell-selection and Reasoning Model for Hybrid Question-Answering.
CoRR, 2023

Explainable Automated Debugging via Large Language Model-driven Scientific Debugging.
CoRR, 2023

RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation.
CoRR, 2023

Uncovering and Quantifying Social Biases in Code Generation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

LayoutPrompter: Awaken the Design Ability of Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CodeT: Code Generation with Generated Tests.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Does Deep Learning Learn to Abstract? A Systematic Probing Framework.
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

Question Answering as Programming for Solving Time-Sensitive Questions.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

CRT-QA: A Dataset of Complex Reasoning Question Answering over Tabular Data.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Skill-Based Few-Shot Selection for In-Context Learning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 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

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

Large Language Models Meet NL2Code: A Survey.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

TACR: A Table Alignment-based Cell Selection Method for HybridQA.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Know What I don't Know: Handling Ambiguous and Unknown Questions for Text-to-SQL.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Uncovering and Categorizing Social Biases in Text-to-SQL.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Making Language Models Better Reasoners with Step-Aware Verifier.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

How Do In-Context Examples Affect Compositional Generalization?
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

MultiSpider: Towards Benchmarking Multilingual Text-to-SQL Semantic Parsing.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
How to manage a task-oriented virtual assistant software project: an experience report.
Frontiers Inf. Technol. Electron. Eng., 2022

When Neural Model Meets NL2Code: A Survey.
CoRR, 2022

Know What I don't Know: Handling Ambiguous and Unanswerable Questions for Text-to-SQL.
CoRR, 2022

UniLayout: Taming Unified Sequence-to-Sequence Transformers for Graphic Layout Generation.
CoRR, 2022

On the Advance of Making Language Models Better Reasoners.
CoRR, 2022

DialogZoo: Large-Scale Dialog-Oriented Task Learning.
CoRR, 2022

UniSAr: A Unified Structure-Aware Autoregressive Language Model for Text-to-SQL.
CoRR, 2022

Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models.
CoRR, 2022

LEMON: Language-Based Environment Manipulation via Execution-Guided Pre-training.
CoRR, 2022

UniDU: Towards A Unified Generative Dialogue Understanding Framework.
Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2022

LogiGAN: Learning Logical Reasoning via Adversarial Pre-training.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

CERT: Continual Pre-training on Sketches for Library-oriented Code Generation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Nufix: Escape From NuGet Dependency Maze.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Testing Machine Learning Systems in Industry: An Empirical Study.
Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2022

TAPEX: Table Pre-training via Learning a Neural SQL Executor.
Proceedings of the Tenth International Conference on Learning Representations, 2022

When Language Model Meets Private Library.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Reasoning Like Program Executors.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Exploring the Secrets Behind the Learning Difficulty of Meaning Representations for Semantic Parsing.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledge.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

AdapterShare: Task Correlation Modeling with Adapter Differentiation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

LEMON: Language-Based Environment Manipulation via Execution-Guided Pre-training.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

GL-CLeF: A Global-Local Contrastive Learning Framework for Cross-lingual Spoken Language Understanding.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Towards Robustness of Text-to-SQL Models Against Natural and Realistic Adversarial Table Perturbation.
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

Coarse-to-Fine Generative Modeling for Graphic Layouts.
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

Part & Whole Extraction: Towards A Deep Understanding of Quantitative Facts for Percentages in Text.
CoRR, 2021

TAPEX: Table Pre-training via Learning a Neural SQL Executor.
CoRR, 2021

AnaSearch: Extract, Retrieve and Visualize Structured Results from Unstructured Text for Analytical Queries.
Proceedings of the WSDM '21, 2021

Can Neural Clone Detection Generalize to Unseen Functionalitiesƒ.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Keep the Structure: A Latent Shift-Reduce Parser for Semantic Parsing.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Translating Headers of Tabular Data: A Pilot Study of Schema Translation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

TWT: Table with Written Text for Controlled Data-to-Text Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Weakly Supervised Semantic Parsing by Learning from Mistakes.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Awakening Latent Grounding from Pretrained Language Models for Semantic Parsing.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Learning Algebraic Recombination for Compositional Generalization.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Chase: A Large-Scale and Pragmatic Chinese Dataset for Cross-Database Context-Dependent Text-to-SQL.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

ReTraCk: A Flexible and Efficient Framework for Knowledge Base Question Answering.
Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Iterative Utterance Segmentation for Neural Semantic Parsing.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Text-to-Viz: Automatic Generation of Infographics from Proportion-Related Natural Language Statements.
IEEE Trans. Vis. Comput. Graph., 2020

Compositional Generalization by Learning Analytical Expressions.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Hierarchical Poset Decoding for Compositional Generalization in Language.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

RECPARSER: A Recursive Semantic Parsing Framework for Text-to-SQL Task.
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

Automated bug reproduction from user reviews for Android applications.
Proceedings of the ICSE-SEIP 2020: 42nd International Conference on Software Engineering, Software Engineering in Practice, Seoul, South Korea, 27 June, 2020

Incomplete Utterance Rewriting as Semantic Segmentation.
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

Benchmarking Meaning Representations in Neural Semantic Parsing.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

You Impress Me: Dialogue Generation via Mutual Persona Perception.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
A Hybrid Semantic Parsing Approach for Tabular Data Analysis.
CoRR, 2019

LambdaOpt: Learn to Regularize Recommender Models in Finer Levels.
CoRR, 2019

Robust log-based anomaly detection on unstable log data.
Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

λOpt: Learn to Regularize Recommender Models in Finer Levels.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Sara: self-replay augmented record and replay for Android in industrial cases.
Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2019

Leveraging Adjective-Noun Phrasing Knowledge for Comparison Relation Prediction in Text-to-SQL.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Split-and-Recombine Approach for Follow-up Query Analysis.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Data-Anonymous Encoding for Text-to-SQL Generation.
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

Leveraging Web Semantic Knowledge in Word Representation Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

FANDA: A Novel Approach to Perform Follow-Up Query Analysis.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
QuanFuzz: Fuzz Testing of Quantum Program.
CoRR, 2018

Improving Service Availability of Cloud Systems by Predicting Disk Error.
Proceedings of the 2018 USENIX Annual Technical Conference, 2018

Predicting Node failure in cloud service systems.
Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

Identifying impactful service system problems via log analysis.
Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

BigIN4: Instant, Interactive Insight Identification for Multi-Dimensional Big Data.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Learning-to-Ask: Knowledge Acquisition via 20 Questions.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 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

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

2016
Roundtable: Research Opportunities and Challenges for Large-Scale Software Systems.
J. Comput. Sci. Technol., 2016

Log clustering based problem identification for online service systems.
Proceedings of the 38th International Conference on Software Engineering, 2016

iDice: problem identification for emerging issues.
Proceedings of the 38th International Conference on Software Engineering, 2016

How to tame your online services.
Proceedings of the Perspectives on Data Science for Software Engineering, 2016

2015
Log2: A Cost-Aware Logging Mechanism for Performance Diagnosis.
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

An Empirical Study on Quality Issues of Production Big Data Platform.
Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

2014
Querying sequential software engineering data.
Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering, (FSE-22), Hong Kong, China, November 16, 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
Software Analytics in Practice.
IEEE Softw., 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

2010
Mining dependency in distributed systems through unstructured logs analysis.
ACM SIGOPS Oper. Syst. Rev., 2010

Mining Invariants from Console Logs for System Problem Detection.
Proceedings of the 2010 USENIX Annual Technical Conference, 2010

Mining program workflow from interleaved traces.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009
Execution Anomaly Detection in Distributed Systems through Unstructured Log Analysis.
Proceedings of the ICDM 2009, 2009

2007
Interactive Multiview Video Delivery Based on IP Multicast.
Adv. Multim., 2007

Distributed Density Estimation Using Non-parametric Statistics.
Proceedings of the 27th IEEE International Conference on Distributed Computing Systems (ICDCS 2007), 2007

2006
An Effective Epipolar Geometry Assisted Motion Estimation Technique for Multi-View Image and Video Coding.
Proceedings of the International Conference on Image Processing, 2006

2005
A real-time interactive multi-view video system.
Proceedings of the 13th ACM International Conference on Multimedia, 2005


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