A New Robust and Reversible Watermarking Technique Based on Erasure Code. - Heyan Chai 001; Shuqiang Yang; Zoe Lin Jiang; Xuan Wang 002; Yiqun Chen; Hengyu Luo (ICA3PP (1), 2019)

A Robust and Reversible Watermarking Technique for Relational Dataset Based on Clustering. - Heyan Chai 001; Shuqiang Yang; Zoe Lin Jiang; Xuan Wang 002 (TrustCom/BigDataSE, 2019)

Fine-Grained Unbalanced Interaction Network for Visual Question Answering. - Xinxin Liao; Mingyan Wu; Heyan Chai 001; Shuhan Qi; Xuan Wang 002; Qing Liao 001 (KSEM, 2021)

Improving Multi-task Stance Detection with Multi-task Interaction Network. - Heyan Chai 001; Siyu Tang; Jinhao Cui; Ye Ding 002; Binxing Fang; Qing Liao 001 (EMNLP, 2022)

Affective Knowledge Enhanced Multiple-Graph Fusion Networks for Aspect-based Sentiment Analysis. - Siyu Tang; Heyan Chai 001; Ziyi Yao; Ye Ding 002; Cuiyun Gao 001; Binxing Fang; Qing Liao 001 (EMNLP, 2022)

Improving Anomaly Detection with a Self-Supervised Task Based on Generative Adversarial Network. - Heyan Chai 001; Weijun Su; Siyu Tang; Ye Ding 002; Binxing Fang; Qing Liao 001 (ICASSP, 2022)

An Integrated Multi-Task Model for Fake News Detection. - Qing Liao 001; Heyan Chai 001; Hao Han; Xiang Zhang 008; Xuan Wang 002; Wen Xia; Ye Ding 002 (IEEE Trans. Knowl. Data Eng., 2022)

Improving Gradient Trade-offs between Tasks in Multi-task Text Classification. - Heyan Chai 001; Jinhao Cui; Ye Wang 015; Min Zhang; Binxing Fang; Qing Liao 001 (ACL (1), 2023)

Temporal-Relational Matching Network for Few-Shot Temporal Knowledge Graph Completion. - Xing Gong; Jianyang Qin; Heyan Chai 001; Ye Ding 002; Yan Jia 001; Qing Liao 001 (DASFAA (2), 2023)

Aspect-to-Scope Oriented Multi-view Contrastive Learning for Aspect-based Sentiment Analysis. - Heyan Chai 001; Ziyi Yao; Siyu Tang; Ye Wang 015; Liqiang Nie; Binxing Fang; Qing Liao 001 (EMNLP (Findings), 2023)

MocGCL: Molecular Graph Contrastive Learning via Negative Selection. - Jinhao Cui; Heyan Chai 001; Yanbin Gong; Ye Ding 002; Zhongyun Hua; Cuiyun Gao 001; Qing Liao 001 (IJCNN, 2023)

HITSZQ at SemEval-2023 Task 10: Category-aware Sexism Detection Model with Self-training Strategy. - Ziyi Yao; Heyan Chai 001; Jinhao Cui; Siyu Tang; Qing Liao 001 (SemEval@ACL, 2023)

A Model-Agnostic Approach to Mitigate Gradient Interference for Multi-Task Learning. - Heyan Chai 001; Zhe Yin; Ye Ding 002; Li Liu 002; Binxing Fang; Qing Liao 001 (IEEE Trans. Cybern., 2023)

Learning from Easy to Hard: Multi-Task Learning with Data Scheduling. - Zeyu Liu; Heyan Chai 001; Qing Liao 001 (ICASSP, 2024)

Towards Task-Conflicts Momentum-Calibrated Approach for Multi-task Learning. - Heyan Chai 001; Zeyu Liu; Yongxin Tong; Ziyi Yao; Binxing Fang; Qing Liao 001 (ICDE, 2024)

SGCL: Semantic-aware Graph Contrastive Learning with Lipschitz Graph Augmentation. - Jinhao Cui; Heyan Chai 001; Xu Yang; Ye Ding 002; Binxing Fang; Qing Liao 001 (ICDE, 2024)

MUSE-Net: Disentangling Multi-Periodicity for Traffic Flow Forecasting. - Jianyang Qin; Yan Jia 001; Yongxin Tong; Heyan Chai 001; Ye Ding 002; Xuan Wang 002; Binxing Fang; Qing Liao 001 (ICDE, 2024)

Adaptive Data and Task Joint Scheduling for Multi-Task Learning. - Zeyu Liu; Heyan Chai 001; Chaoyang Li; Lingzhi Wang 001; Qing Liao 001 (ICDE, 2025)

MG-SIN: Multigraph Sparse Interaction Network for Multitask Stance Detection. - Heyan Chai 001; Jinhao Cui; Siyu Tang; Ye Ding 002; Xinwang Liu 002; Binxing Fang; Qing Liao 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)