Qi Li

Orcid: 0000-0002-3136-2157

Affiliations:
  • Iowa State University, Ames, IA, USA
  • University of Illinois at Urbana Champaign, Urbana, IL, USA
  • State University of New York at Buffalo, NY, USA (PhD 2017)


According to our database1, Qi Li authored at least 59 papers between 2014 and 2024.

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Bibliography

2024
Empirical Analysis for Unsupervised Universal Dependency Parse Tree Aggregation.
CoRR, 2024

2023
An Empirical Study of Using ChatGPT for Fact Verification Task.
CoRR, 2023

Beryllium: Neural Search for Algorithm Implementations.
CoRR, 2023

Optimal Budget Allocation for Crowdsourcing Labels for Graphs.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Relation-Aware Network with Attention-Based Loss for Few-Shot Knowledge Graph Completion.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Direction Aware Positional and Structural Encoding for Directed Graph Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2023

Zero-shot Approach to Overcome Perturbation Sensitivity of Prompts.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Improving Distantly Supervised Relation Extraction by Natural Language Inference.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
CPTAM: Constituency Parse Tree Aggregation Method.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

SagDRE: Sequence-Aware Graph-Based Document-Level Relation Extraction with Adaptive Margin Loss.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Open-Domain Aspect-Opinion Co-Mining with Double-Layer Span Extraction.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Joint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact).
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Distantly Supervised Named Entity Recognition via Confidence-Based Multi-Class Positive and Unlabeled Learning.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Rogue people: on adversarial crowdsourcing in the context of cyber security.
J. Inf. Commun. Ethics Soc., 2021

Data Poisoning Attacks and Defenses to Crowdsourcing Systems.
Proceedings of the WWW '21: The Web Conference 2021, 2021

The Third International TrueFact Workshop: Making a Credible Web for Tomorrow.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Truth Discovery in Sequence Labels from Crowds.
Proceedings of the IEEE International Conference on Data Mining, 2021

2020
Extracting Medical Knowledge from Crowdsourced Question Answering Website.
IEEE Trans. Big Data, 2020

Partially-Typed NER Datasets Integration: Connecting Practice to Theory.
CoRR, 2020

OptSLA: an Optimization-Based Approach for Sequential Label Aggregation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Textual Evidence Mining via Spherical Heterogeneous Information Network Embedding.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Pattern-enhanced Named Entity Recognition with Distant Supervision.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Fine-Grained Named Entity Recognition with Distant Supervision in COVID-19 Literature.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

EVIDENCEMINER: Textual Evidence Discovery for Life Sciences.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

2019
Towards Confidence Interval Estimation in Truth Discovery.
IEEE Trans. Knowl. Data Eng., 2019

AutoRepair: an automatic repairing approach over multi-source data.
Knowl. Inf. Syst., 2019

A Novel Unsupervised Approach for Precise Temporal Slot Filling from Incomplete and Noisy Temporal Contexts.
Proceedings of the World Wide Web Conference, 2019

HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Improving Peer Assessment Accuracy by Incorporating Relative Peer Grades.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

Distantly Supervised Biomedical Named Entity Recognition with Dictionary Expansion.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Towards Quality Aware Information Integration in Distributed Sensing Systems.
IEEE Trans. Parallel Distributed Syst., 2018

Finding Similar Medical Questions from Question Answering Websites.
CoRR, 2018

Attack under Disguise: An Intelligent Data Poisoning Attack Mechanism in Crowdsourcing.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Online Truth Discovery on Time Series Data.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Towards Data Poisoning Attacks in Crowd Sensing Systems.
Proceedings of the Nineteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2018

An Efficient Two-Layer Mechanism for Privacy-Preserving Truth Discovery.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

TruePIE: Discovering Reliable Patterns in Pattern-Based Information Extraction.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Dynamic Truth Discovery on Numerical Data.
Proceedings of the IEEE International Conference on Data Mining, 2018

Towards Personalized Learning in Mobile Sensing Systems.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Pattern Discovery for Wide-Window Open Information Extraction in Biomedical Literature.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

PENNER: Pattern-enhanced Nested Named Entity Recognition in Biomedical Literature.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Open Information Extraction with Meta-pattern Discovery in Biomedical Literature.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2017
Reliable Medical Diagnosis from Crowdsourcing: Discover Trustworthy Answers from Non-Experts.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Unsupervised Discovery of Drug Side-Effects from Heterogeneous Data Sources.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016
Conflicts to Harmony: A Framework for Resolving Conflicts in Heterogeneous Data by Truth Discovery.
IEEE Trans. Knowl. Data Eng., 2016

Crowdsourcing High Quality Labels with a Tight Budget.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

OpenAtom: Scalable Ab-Initio Molecular Dynamics with Diverse Capabilities.
Proceedings of the High Performance Computing - 31st International Conference, 2016

Towards Confidence in the Truth: A Bootstrapping based Truth Discovery Approach.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Mining Reliable Information from Passively and Actively Crowdsourced Data.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Influence-Aware Truth Discovery.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
A Survey on Truth Discovery.
SIGKDD Explor., 2015

Truth Discovery and Crowdsourcing Aggregation: A Unified Perspective.
Proc. VLDB Endow., 2015

FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

On the Discovery of Evolving Truth.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014
A Confidence-Aware Approach for Truth Discovery on Long-Tail Data.
Proc. VLDB Endow., 2014

Resolving conflicts in heterogeneous data by truth discovery and source reliability estimation.
Proceedings of the International Conference on Management of Data, 2014

Generalized Decision Aggregation in Distributed Sensing Systems.
Proceedings of the IEEE 35th IEEE Real-Time Systems Symposium, 2014

Crowdsourcing for Multiple-Choice Question Answering.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Ensemble Learning.
Proceedings of the Data Classification: Algorithms and Applications, 2014


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