柴合言，博士，深圳大学计算机与软件学院助理教授,硕士生导师，于2024年3月获得哈尔滨工业大学博士学位，师从方滨兴院士和廖清教授，其后在香港中文大学计算机科学与工程系担任博士后。长期从事数据挖掘、人工智能、信息内容安全等相关理论及应用研究。近五年发表学术论文 16篇，以第一作者或共同第一作者发表顶刊/顶会9篇，包括CCF-A期刊/会议4篇，CSRankings会议4篇，中科院一区Top期刊1篇，如IEEE TKDE，IEEE TNNLS，ICDE，ACL，EMNLP等，已授权国家发明专利6项。长期担任ACL、EMNLP等国际顶级人工智能会议程序委员会委员，并担任多个人工智能和数据挖掘领域国际顶级期刊审稿人，如TKDE，TCYB，TNNLS，TKDD等。
欢迎对人工智能、社交媒体分析，信息内容安全等方向感兴趣，努力且优秀的同学加入课题组。每年计划招收2-3名研究生（含推免生），有兴趣的可邮件联系。
邮箱：hychai@szu.edu.cn 或者 chaiheyan@gmail.com
也欢迎动手能力强，课余时间充足的本科生同学加入课题组，参与高水平科研项目和学术论文工作，为今后出国深造OR读研OR就业提前打好基础！！！
Selected Publications (* indicates equal contributions)
Zeyu Liu*, Heyan Chai*, Chaoyang Li, Lingzhi Wang, Qing Liao. Adaptive Data and Task Joint Scheduling for Multi-Task Learning, ICDE 2025. (CCF-A)
Heyan Chai, Jinhao Cui, Ye Wang, Min Zhang, Binxing Fang, Qing Liao. Improving Gradient Trade-offs between Tasks in Multi-task Text Classification[C]// Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume1: Long Papers) (ACL ’23), Toronto, Canada, 2023: 2565–2579. (CSRankings, CCF A)
Heyan Chai, Zeyu Liu, Yongxin Tong, Ziyi Yao, Binxing Fang, Qing Liao. Towards task-conflicts momentum-calibrated approach for multi-task learning[C]//2024 IEEE 40th International Conference on Data Engineering (ICDE). IEEE, 2024: 939-952. (CCF-A)
Qing Liao, Heyan Chai, Hao Han, Xiang Zhang, Xuan Wang, Wen Xia, Ye Ding. An Integrated Multi-Task Model for Fake News Detection[J]. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021, 34(11): 5154–5165. (CCF- A, Top期刊, 中科院Q1, IF=8.9 , ESI高被引论文)
Jinhao Cui*, Heyan Chai*, Xu Yang, Ye Ding, Binxing Fang and Qing Liao. SGCL: Semantic-aware Graph Contrastive Learning with Lipschitz Graph Augmentation[C]//2024 IEEE 40th International Conference on Data Engineering (ICDE). IEEE, 2024: 3028-3041. (CCF-A)
Heyan Chai, Zhe Yin, Ye Ding, Li Liu, Binxing Fang, Qing Liao. A model-agnostic Approach to Mitigate Gradient Interference for Multi-task Learning[J]. IEEE Transactions on Cybernetics, 2022, 53(12): 7810-7823. (中科院Q1, IF=9.4, CCF-B)
Heyan Chai, Jinhao Cui, Siyu Tang, Ye Ding, Xinwang Liu, Binxing Fang, and Qing Liao. MG-SIN: Multigraph Sparse Interaction Network for Multitask Stance Detection[J]. IEEE Transactions on Neural Networks and Learning Systems, 2023, 36(2): 3111-3125. (Top期刊,中科院Q1, IF=10.2, CCF-B)
Heyan Chai, Siyu Tang, Jinhao Cui, Ye Ding, Binxing Fang and Qing Liao. Improving Multi-task Stance Detection with Multi-task Interaction Network[C]//Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP ’22), Abu Dhabi, United Arab Emirates, 2022: 2990–3000. (CSRankings, CCF-B)
Heyan Chai, Ziyi Yao, Siyu Tang, Ye Wang, Liqiang Nie, Binxing Fang and Qing Liao. Aspect-to-Scope Oriented Multi-view Contrastive Learning for Aspect-based Sentiment Analysis[C]//Findings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP ’23). (CSRankings, CCF-B)
Siyu Tang*, Heyan Chai*, Ziyi Yao, Ye Ding, Cuiyun Gao, Binxing Fang, Qing Liao. Affective Knowledge Enhanced Multiple-Graph Fusion Networks for Aspect-based Sentiment Analysis[C]//Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP ’22), Abu Dhabi, United Arab Emirates, 2022: 5352–5362. (CSRankings, CCF-B)
Heyan Chai, Weijun Su, Siyu Tang, Ye Ding, Binxing Fang, and Qing Liao. Improving Anomaly Detection with A Self-supervised Task Based on Generative Adversarial Network[C]//Proceedings of 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP ’22) Singapore, 2022: 3563–3567. (CCF-B)
