Yuliang Li

Orcid: 0000-0002-0602-149X

Affiliations:
  • Megagon Labs, Mountain View, CA, USA
  • University of California, San Diego, USA (former)


According to our database1, Yuliang Li authored at least 37 papers between 2017 and 2024.

Collaborative distances:

Timeline

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Bibliography

2024
LAVE: LLM-Powered Agent Assistance and Language Augmentation for Video Editing.
Proceedings of the 29th International Conference on Intelligent User Interfaces, 2024

Personal Manifold: Management of Personal Data in the Age of Large Language Models.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023
Effective entity matching with transformers.
VLDB J., November, 2023

Semantics-aware Dataset Discovery from Data Lakes with Contextualized Column-based Representation Learning.
Proc. VLDB Endow., 2023

Human-Centered Planning.
CoRR, 2023

Table Discovery in Data Lakes: State-of-the-art and Future Directions.
Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

Sudowoodo: Contrastive Self-supervised Learning for Multi-purpose Data Integration and Preparation.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

TimelineQA: A Benchmark for Question Answering over Timelines.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Reimagining Retrieval Augmented Language Models for Answering Queries.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Machop: an end-to-end generalized entity matching framework.
Proceedings of the aiDM '22: Proceedings of the Fifth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, 2022

Annotating Columns with Pre-trained Language Models.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

TCUDB: Accelerating Database with Tensor Processors.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Minun: evaluating counterfactual explanations for entity matching.
Proceedings of the DEEM '22: Proceedings of the Sixth Workshop on Data Management for End-To-End Machine Learning Philadelphia, 2022

2021
Querying subjective data.
VLDB J., 2021

Data Augmentation for ML-driven Data Preparation and Integration.
Proc. VLDB Endow., 2021

Index-based, High-dimensional, Cosine Threshold Querying with Optimality Guarantees.
Theory Comput. Syst., 2021

Deep Entity Matching: Challenges and Opportunities.
ACM J. Data Inf. Qual., 2021

Constructing Explainable Opinion Graphs from Reviews.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Rotom: A Meta-Learned Data Augmentation Framework for Entity Matching, Data Cleaning, Text Classification, and Beyond.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Machamp: A Generalized Entity Matching Benchmark.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Deep or Simple Models for Semantic Tagging? It Depends on your Data.
Proc. VLDB Endow., 2020

Deep Entity Matching with Pre-Trained Language Models.
Proc. VLDB Endow., 2020

Deep or Simple Models for Semantic Tagging? It Depends on your Data [Experiments].
CoRR, 2020

ExplainIt: Explainable Review Summarization with Opinion Causality Graphs.
CoRR, 2020

Enhancing Review Comprehension with Domain-Specific Commonsense.
CoRR, 2020

Towards Productionizing Subjective Search Systems.
CoRR, 2020

ExtremeReader: An interactive explorer for customizable and explainable review summarization.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Snippext: Semi-supervised Opinion Mining with Augmented Data.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Teddy: A System for Interactive Review Analysis.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019
Verification of Hierarchical Artifact Systems.
ACM Trans. Database Syst., 2019

Subjective Databases.
Proc. VLDB Endow., 2019

Voyageur: An Experiential Travel Search Engine.
Proceedings of the World Wide Web Conference, 2019

2018
Verification of Hierarchical Data-Driven Workflows.
PhD thesis, 2018

Automatic verification of database-centric systems.
ACM SIGLOG News, 2018

Empowering Business-Level Blockchain Users with a Rules Framework for Smart Contracts.
Proceedings of the Service-Oriented Computing - 16th International Conference, 2018

2017
VERIFAS: A Practical Verifier for Artifact Systems.
Proc. VLDB Endow., 2017

A Spin-based Verifier for Artifact Systems.
CoRR, 2017


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