Zequn Liu

Orcid: 0000-0002-5833-6557

According to our database1, Zequn Liu authored at least 22 papers between 2018 and 2024.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A Comprehensive Survey on Deep Graph Representation Learning.
Neural Networks, 2024

Poisoning medical knowledge using large language models.
Nat. Mac. Intell., 2024

A bioactivity foundation model using pairwise meta-learning.
Nat. Mac. Intell., 2024

Cross-Cultural Perspectives on Artificial Intelligence Generated Content (AIGC): A Comparative Study of Attitudes and Acceptance Among Global Products.
Proceedings of the Cross-Cultural Design, 2024

2023
Few-shot Molecular Property Prediction via Hierarchically Structured Learning on Relation Graphs.
Neural Networks, 2023

A Comprehensive Survey on Deep Graph Representation Learning.
CoRR, 2023

Robust Dancer: Long-term 3D Dance Synthesis Using Unpaired Data.
CoRR, 2023

MolXPT: Wrapping Molecules with Text for Generative Pre-training.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022
Three-dimensional piecewise guidance strategy for multi-UAVs guaranteeing simultaneous arrival and field-of-view constraint.
Trans. Inst. Meas. Control, 2022

Pathway2Text: Dataset and Method for Biomedical Pathway Description Generation.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

MetaFill: Text Infilling for Meta-Path Generation on Heterogeneous Information Networks.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Pinning Control of Boolean Networks via Injection Mode.
IEEE Trans. Control. Netw. Syst., 2021

Graphine: A Dataset for Graph-aware Terminology Definition Generation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Completeness and normal form of multi-valued logical functions.
J. Frankl. Inst., 2020

When does MAML Work the Best? An Empirical Study on Model-Agnostic Meta-Learning in NLP Applications.
CoRR, 2020

Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases.
Proceedings of the AMIA 2020, 2020

Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Learning to Customize Language Model for Generation-based dialog systems.
CoRR, 2019

Early Prediction of Sepsis From Clinical Datavia Heterogeneous Event Aggregation.
CoRR, 2019

Early Prediction of Sepsis From Clinical Data via Heterogeneous Event Aggregation.
Proceedings of the 46th Computing in Cardiology, 2019

2018
From STP to game-based control.
Sci. China Inf. Sci., 2018

Linear System on Dimension-Varying State Space.
Proceedings of the 14th IEEE International Conference on Control and Automation, 2018


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