Linhai Zhang

According to our database1, Linhai Zhang authored at least 23 papers between 2020 and 2024.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Fine-grainedly Synthesize Streaming Data Based On Large Language Models With Graph Structure Understanding For Data Sparsity.
CoRR, 2024

Causal Prompting: Debiasing Large Language Model Prompting based on Front-Door Adjustment.
CoRR, 2024

DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference.
CoRR, 2024

STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models.
CoRR, 2024

Causal Walk: Debiasing Multi-Hop Fact Verification with Front-Door Adjustment.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Sentiment Analysis on Streaming User Reviews via Dual-Channel Dynamic Graph Neural Network.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Multi-Relational Probabilistic Event Representation Learning via Projected Gaussian Embedding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Focusing, Bridging and Prompting for Few-shot Nested Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Neural Topic Modeling based on Cycle Adversarial Training and Contrastive Learning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Temporal Knowledge Graph Completion with Approximated Gaussian Process Embedding.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

SEE-Few: Seed, Expand and Entail for Few-shot Named Entity Recognition.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Pre-training and Fine-tuning Neural Topic Model: A Simple yet Effective Approach to Incorporating External Knowledge.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

A Novel Framework Based on Medical Concept Driven Attention for Explainable Medical Code Prediction via External Knowledge.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
A Bayesian end-to-end model with estimated uncertainties for simple question answering over knowledge bases.
Comput. Speech Lang., 2021

A Divide-And-Conquer Approach for Multi-label Multi-hop Relation Detection in Knowledge Base Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Implicit Sentiment Analysis with Event-centered Text Representation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

A Multi-label Multi-hop Relation Detection Model based on Relation-aware Sequence Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Beyond Text: Incorporating Metadata and Label Structure for Multi-Label Document Classification using Heterogeneous Graphs.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

A Neural Group-wise Sentiment Analysis Model with Data Sparsity Awareness.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

MERL: Multimodal Event Representation Learning in Heterogeneous Embedding Spaces.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Experimental study on CNC engraving parameters of Afghan white jade.
J. Comput. Methods Sci. Eng., 2020

Particle flow code method-based seepage behavior analysis and control effect evaluation for soil levee.
Eng. Comput., 2020

Research on control strategy for ground extension and retraction test of landing gear.
Proceedings of the 5th International Conference on Automation, 2020


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