Heyan Chai

Orcid: 0000-0003-4470-9364

According to our database1, Heyan Chai authored at least 13 papers between 2019 and 2023.

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

Timeline

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Links

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Bibliography

2023
A Model-Agnostic Approach to Mitigate Gradient Interference for Multi-Task Learning.
IEEE Trans. Cybern., December, 2023

HITSZQ at SemEval-2023 Task 10: Category-aware Sexism Detection Model with Self-training Strategy.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

MocGCL: Molecular Graph Contrastive Learning via Negative Selection.
Proceedings of the International Joint Conference on Neural Networks, 2023

Aspect-to-Scope Oriented Multi-view Contrastive Learning for Aspect-based Sentiment Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Temporal-Relational Matching Network for Few-Shot Temporal Knowledge Graph Completion.
Proceedings of the Database Systems for Advanced Applications, 2023

Improving Gradient Trade-offs between Tasks in Multi-task Text Classification.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
An Integrated Multi-Task Model for Fake News Detection.
IEEE Trans. Knowl. Data Eng., 2022

Improving Anomaly Detection with a Self-Supervised Task Based on Generative Adversarial Network.
Proceedings of the IEEE International Conference on Acoustics, 2022

Affective Knowledge Enhanced Multiple-Graph Fusion Networks for Aspect-based Sentiment Analysis.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Improving Multi-task Stance Detection with Multi-task Interaction Network.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Fine-Grained Unbalanced Interaction Network for Visual Question Answering.
Proceedings of the Knowledge Science, Engineering and Management, 2021

2019
A Robust and Reversible Watermarking Technique for Relational Dataset Based on Clustering.
Proceedings of the 18th IEEE International Conference On Trust, 2019

A New Robust and Reversible Watermarking Technique Based on Erasure Code.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2019


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