Heyan Chai

According to our database, Heyan Chai authored at least 20 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Multitask Causal Contrastive Learning.

Chaoyang Li, Heyan Chai, Yan Jia, Ning Hu, Qing Liao

IEEE Trans. Neural Networks Learn. Syst., September, 2025

MG-SIN: Multigraph Sparse Interaction Network for Multitask Stance Detection.

Heyan Chai, Jinhao Cui, Siyu Tang, Ye Ding, Xinwang Liu, Binxing Fang, Qing Liao

IEEE Trans. Neural Networks Learn. Syst., February, 2025

Adaptive Data and Task Joint Scheduling for Multi-Task Learning.

Zeyu Liu, Heyan Chai, Chaoyang Li, Lingzhi Wang, Qing Liao

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024

MUSE-Net: Disentangling Multi-Periodicity for Traffic Flow Forecasting.

Jianyang Qin, Yan Jia, Yongxin Tong, Heyan Chai, Ye Ding, Xuan Wang, Binxing Fang, Qing Liao

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

SGCL: Semantic-aware Graph Contrastive Learning with Lipschitz Graph Augmentation.

Jinhao Cui, Heyan Chai, Xu Yang, Ye Ding, Binxing Fang, Qing Liao

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Towards Task-Conflicts Momentum-Calibrated Approach for Multi-task Learning.

Heyan Chai, Zeyu Liu, Yongxin Tong, Ziyi Yao, Binxing Fang, Qing Liao

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Learning from Easy to Hard: Multi-Task Learning with Data Scheduling.

Zeyu Liu, Heyan Chai, Qing Liao

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

A Model-Agnostic Approach to Mitigate Gradient Interference for Multi-Task Learning.

Heyan Chai, Zhe Yin, Ye Ding, Li Liu, Binxing Fang, Qing Liao

IEEE Trans. Cybern., December, 2023

HITSZQ at SemEval-2023 Task 10: Category-aware Sexism Detection Model with Self-training Strategy.

Ziyi Yao, Heyan Chai, Jinhao Cui, Siyu Tang, Qing Liao

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

MocGCL: Molecular Graph Contrastive Learning via Negative Selection.

Jinhao Cui, Heyan Chai, Yanbin Gong, Ye Ding, Zhongyun Hua, Cuiyun Gao, Qing Liao

Proceedings of the International Joint Conference on Neural Networks, 2023

Aspect-to-Scope Oriented Multi-view Contrastive Learning for Aspect-based Sentiment Analysis.

Heyan Chai, Ziyi Yao, Siyu Tang, Ye Wang, Liqiang Nie, Binxing Fang, Qing Liao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Temporal-Relational Matching Network for Few-Shot Temporal Knowledge Graph Completion.

Xing Gong, Jianyang Qin, Heyan Chai, Ye Ding, Yan Jia, Qing Liao

Proceedings of the Database Systems for Advanced Applications, 2023

Improving Gradient Trade-offs between Tasks in Multi-task Text Classification.

Heyan Chai, Jinhao Cui, Ye Wang, Min Zhang, Binxing Fang, Qing Liao

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.

Qing Liao, Heyan Chai, Hao Han, Xiang Zhang, Xuan Wang, Wen Xia, Ye Ding

IEEE Trans. Knowl. Data Eng., 2022

Improving Anomaly Detection with a Self-Supervised Task Based on Generative Adversarial Network.

Heyan Chai, Weijun Su, Siyu Tang, Ye Ding, Binxing Fang, Qing Liao

Proceedings of the IEEE International Conference on Acoustics, 2022

Affective Knowledge Enhanced Multiple-Graph Fusion Networks for Aspect-based Sentiment Analysis.

Siyu Tang, Heyan Chai, Ziyi Yao, Ye Ding, Cuiyun Gao, Binxing Fang, Qing Liao

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Improving Multi-task Stance Detection with Multi-task Interaction Network.

Heyan Chai, Siyu Tang, Jinhao Cui, Ye Ding, Binxing Fang, Qing Liao

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Fine-Grained Unbalanced Interaction Network for Visual Question Answering.

Xinxin Liao, Mingyan Wu, Heyan Chai, Shuhan Qi, Xuan Wang, Qing Liao

Proceedings of the Knowledge Science, Engineering and Management, 2021

2019

A Robust and Reversible Watermarking Technique for Relational Dataset Based on Clustering.

Heyan Chai, Shuqiang Yang, Zoe Lin Jiang, Xuan Wang

Proceedings of the 18th IEEE International Conference On Trust, 2019

A New Robust and Reversible Watermarking Technique Based on Erasure Code.

Heyan Chai, Shuqiang Yang, Zoe Lin Jiang, Xuan Wang, Yiqun Chen, Hengyu Luo

Proceedings of the Algorithms and Architectures for Parallel Processing, 2019