Heyan Chai

20 papers A* 6B 1C 1Misc 2Journal 4Unranked 6
YearRankTypeTitle / Venue / Authors
2025 A* conf
Adaptive Data and Task Joint Scheduling for Multi-Task Learning.
ICDE
Zeyu Liu, Heyan Chai, Chaoyang Li, Lingzhi Wang, Qing Liao
2025 J jnl
MG-SIN: Multigraph Sparse Interaction Network for Multitask Stance Detection.
IEEE Trans. Neural Networks Learn. Syst.
Heyan Chai, Jinhao Cui, Siyu Tang, Ye Ding, Xinwang Liu, Binxing Fang, Qing Liao
2025 J jnl
Multitask Causal Contrastive Learning.
IEEE Trans. Neural Networks Learn. Syst.
Chaoyang Li, Heyan Chai, Yan Jia, Ning Hu, Qing Liao
2024 Misc conf
Learning from Easy to Hard: Multi-Task Learning with Data Scheduling.
ICASSP
Zeyu Liu, Heyan Chai, Qing Liao
2024 A* conf
MUSE-Net: Disentangling Multi-Periodicity for Traffic Flow Forecasting.
ICDE
Jianyang Qin, Yan Jia, Yongxin Tong, Heyan Chai, Ye Ding, Xuan Wang, Binxing Fang, Qing Liao
2024 A* conf
SGCL: Semantic-aware Graph Contrastive Learning with Lipschitz Graph Augmentation.
ICDE
Jinhao Cui, Heyan Chai, Xu Yang, Ye Ding, Binxing Fang, Qing Liao
2024 A* conf
Towards Task-Conflicts Momentum-Calibrated Approach for Multi-task Learning.
ICDE
Heyan Chai, Zeyu Liu, Yongxin Tong, Ziyi Yao, Binxing Fang, Qing Liao
2023 J jnl
A Model-Agnostic Approach to Mitigate Gradient Interference for Multi-Task Learning.
IEEE Trans. Cybern.
Heyan Chai, Zhe Yin, Ye Ding, Li Liu, Binxing Fang, Qing Liao
2023 — conf
Aspect-to-Scope Oriented Multi-view Contrastive Learning for Aspect-based Sentiment Analysis.
EMNLP (Findings)
Heyan Chai, Ziyi Yao, Siyu Tang, Ye Wang, Liqiang Nie, Binxing Fang, Qing Liao
2023 — conf
HITSZQ at SemEval-2023 Task 10: Category-aware Sexism Detection Model with Self-training Strategy.
SemEval@ACL
Ziyi Yao, Heyan Chai, Jinhao Cui, Siyu Tang, Qing Liao
2023 — conf
Improving Gradient Trade-offs between Tasks in Multi-task Text Classification.
ACL (1)
Heyan Chai, Jinhao Cui, Ye Wang, Min Zhang, Binxing Fang, Qing Liao
2023 B conf
MocGCL: Molecular Graph Contrastive Learning via Negative Selection.
IJCNN
Jinhao Cui, Heyan Chai, Yanbin Gong, Ye Ding, Zhongyun Hua, Cuiyun Gao, Qing Liao
2023 — conf
Temporal-Relational Matching Network for Few-Shot Temporal Knowledge Graph Completion.
DASFAA (2)
Xing Gong, Jianyang Qin, Heyan Chai, Ye Ding, Yan Jia, Qing Liao
2022 A* conf
Affective Knowledge Enhanced Multiple-Graph Fusion Networks for Aspect-based Sentiment Analysis.
EMNLP
Siyu Tang, Heyan Chai, Ziyi Yao, Ye Ding, Cuiyun Gao, Binxing Fang, Qing Liao
2022 J jnl
An Integrated Multi-Task Model for Fake News Detection.
IEEE Trans. Knowl. Data Eng.
Qing Liao, Heyan Chai, Hao Han, Xiang Zhang, Xuan Wang, Wen Xia, Ye Ding
2022 Misc conf
Improving Anomaly Detection with a Self-Supervised Task Based on Generative Adversarial Network.
ICASSP
Heyan Chai, Weijun Su, Siyu Tang, Ye Ding, Binxing Fang, Qing Liao
2022 A* conf
Improving Multi-task Stance Detection with Multi-task Interaction Network.
EMNLP
Heyan Chai, Siyu Tang, Jinhao Cui, Ye Ding, Binxing Fang, Qing Liao
2021 C conf
Fine-Grained Unbalanced Interaction Network for Visual Question Answering.
KSEM
Xinxin Liao, Mingyan Wu, Heyan Chai, Shuhan Qi, Xuan Wang, Qing Liao
2019 — conf
A New Robust and Reversible Watermarking Technique Based on Erasure Code.
ICA3PP (1)
Heyan Chai, Shuqiang Yang, Zoe Lin Jiang, Xuan Wang, Yiqun Chen, Hengyu Luo
2019 — conf
A Robust and Reversible Watermarking Technique for Relational Dataset Based on Clustering.
TrustCom/BigDataSE
Heyan Chai, Shuqiang Yang, Zoe Lin Jiang, Xuan Wang