Shuai Yang  

Professor

School of Information and Artificial Intelligence
Anhui Agricultural University
Hefei, China. 230036.

Office: Room 515, Xinzhi Building
Email: yangs@ahau.edu.cn

Biography

I'm a Professor of the School of Information and Artificial Intelligence at Anhui Agricultural University. I got my Ph.D. in the Department of Computer Science and Technology at Hefei University of Technology in 2022, coadvised by Prof. Hao Wang and Prof. Kui Yu.

Research Interests

My research interests include machine learning, artificial intelligence, and data mining. In particular, I am interested in causal inference, stable learning, transfer learning, bioinformatics, and smart agriculture.

News

Journal Papers

*Corresponding author
  1. Zhen Zhang, Shuai Yang*, Qianlong Dang, Tingting Jiang, Qian Liu, Chao Wang, and Lichuan Gu. Improving Diversity and Invariance for Single Domain Generalization. Information Sciences, 692: 121656, 2025.
  2. Shuai Yang, Xin Li, Minzhi Wu, Qianlong Dang, and Lichuan Gu. Stable Learning via Dual Feature Learning. IEEE Transactions on Big Data (TBD), Accepted, 2024.
  3. Shuai Yang, Zhen Zhang, and Lichuan Gu. Causality-inspired Domain Expansion Network for Single Domain Generalization. Knowledge-Based Systems (KBS). 301: 112269, 2024.
  4. Shuai Yang, Tingting Jiang, Qianlong Dang, Lichuan Gu, and Xindong Wu. Stable Learning via Triplex Learning. IEEE Transactions on Artificial Intelligence (TAI). 5(10): 5267-5276, 2024.
  5. Shuai Yang, Xianjie Guo, Kui Yu, Xiaoling Huang, Tingting Jiang, Jin He, and Lichuan Gu. Causal Feature Selection in the Presence of Sample Selection Bias. ACM Transactions on Intelligent Systems and Technology (TIST). 14(5): 78:1-78:18, 2023.
  6. Shuai Yang, Kui Yu, Fuyuan Cao, Lin Liu, Hao Wang, and Jiuyong Li. Learning Causal Representations for Robust Domain Adaptation. IEEE Transactions on Knowledge and Data Engineering (TKDE). 35(3): 2750-2764, 2023. (CCF A)
  7. Shuai Yang, Kui Yu, Fuyan Cao, Hao Wang, and Xindong Wu. Dual-Representation-Based Autoencoder for Domain Adaptation. IEEE Transactions on Cybernetics (TCYB). 52(8): 7464-7477, 2022. (CCF B)
  8. Shuai Yang, Hao Wang, Kui Yu, Fuyan Cao, and Xindong Wu. Towards Efficient Local Causal Structure Learning. IEEE Transactions on Big Data (TBD). 8(6): 1592-1609, 2022.
  9. Shuai Yang, Yuhong Zhang, Hao Wang, Peipei Li, and Xuegang Hu. Representation Learning via Serial Robust Autoencoder for Domain Adaptation. Expert Systems with Applications (ESWA). 160: 113635, 2020.
  10. Shuai Yang, Hao Wang, Yuhong Zhang, Peipei Li, Yi Zhu, and Xuegang Hu. Semi-Supervised Representation Learning via Dual Autoencoders for Domain Adaptation. Knowledge Based Systems (KBS). 190: 105161, 2020.
  11. Shuai Yang, Yuhong Zhang, Yi Zhu, Peipei Li, and Xuegang Hu. Representation Learning via Serial Autoencoders for Domain Adaptation. Neurocomputing. 351: 1-9, 2019.
  12. Yuhong Zhang, Shuai Yang*, Peipei Li, Xuegang Hu, and Hao Wang. Marginalized Stacked Denoising Autoencoder With Adaptive Noise Probability for Cross Domain Classification. IEEE Access 7: 143015-143024, 2019.
  13. 杨帅, 王浩, 俞奎, 曹付元. 基于实例加权和双分类器的稳定学习算法. 软件学报. 34(7): 3206–3225, 2023. (CCF A)
  14. 杨帅, 胡学钢, 张玉红. 用于域适应的多边缘降噪自动编码器. 计算机科学与探索. 13(2): 322-329, 2019. (CCF B)

Conference Papers

  1. Shuai Yang, Zhen Zhang, and Lichuan Gu. Practical Single Domain Generalization via Training-time and Test-time Learning. Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 3794-3805, 2024. (CCF A)
  2. Shuai Yang, Yuhong Zhang, Yi Zhu, Xuegang Hu. The L2,1-norm Stacked Robust Autoencoders via Adaptation Regularization for Domain Adaptation. The 5th International Conference on Artificial Intelligence and Security (ICAIS). 2019: 100-111.

Other Papers

  1. Qianlong Dang, Qiqi Liu, Shuai Yang*, and Xiaoyu He. Data-Driven Evolutionary Algorithm Based on Inductive Graph Neural Networks for Multimodal Multi-Objective Optimization. IEEE Transactions on Evolutionary Computation, 2025, Accepted.
  2. Tingting Jiang, Zhiyi Zhang, Shunxin Hu, Shuai Yang, Jin He, Chao Wang, and Lichuan Gu. A Two-Stage Framework for Pig Disease Knowledge Graph Fusing. Computers and Electronics in Agriculture. 229: 109796, 2025.
  3. Qianlong Dang, Wutao Shang, Zhengxin Huang, Shuai Yang. Constrained Multi-Objective Optimization Assisted by Convergence and Diversity Auxiliary Tasks. Engineering Applications of Artificial Intelligence (EAAI). 139: 109546, 2025.
  4. Qianlong Dang, Guanghui Zhang, Ling Wang, Yang Yu, Shuai Yang*, and Xiaoyu He. Transformer-Based Intelligent Prediction Model for Multimodal Multi-Objective Optimization. IEEE Computational Intelligence Magazine, 20(1): 34-49, 2025.
  5. Xiaochuan Gao, Weiting Bai, QianlongDang, Shuai Yang, and Guanghui Zhang. Learnable Self-Supervised Support Vector Machine based Environment Selection Strategy for Multimodal Multi-Objective Optimization. Information Sciences, 690: 121553, 2025.
  6. Zheng Li, Xiaohui Yuan, Bifan Sun, Yuting Xia, Tingting Jiang, Chao Wang, Wentao Ma, Shuai Yang, Siyuan Liu, Lichuan Gu. MtpNet: Multitask Panoptic Driving Perception Network. IEEE Transactions on Intelligent Transportation Systems, 2024, Accepted.
  7. Qianlong Dang, Shuai Yang*, Qiqi Liu, and Junhu Ruan*. Adaptive and Communication-Efficient Zeroth-Order Optimization. IEEE Internet of Things Journal (IOT), 11(22): 37200-37213, 2024.
  8. Zihao Zhao, Yingchun Xia, Wenjun Xu, Hui Yu, Shuai Yang, Cheng Chen, Xiaohui Yuan, Xiaobo Zhou, and Lichuan Gu. Clustering-based Recommendation Method with Enhanced Grasshopper Optimization Algorithm. CAAI Transactions on Intelligence Technology (CIT), 2024, Accepted.
  9. Qianlong Dang, Guanghui Zhang, Ling Wang, Shuai Yang, and Tao Zhan. A Generative Adversarial Networks Model based Evolutionary Algorithm for Multimodal Multi-Objective Optimization. IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2024, Accepted.
  10. Qianlong Dang, Guanghui Zhang, Ling Wang, Shuai Yang, and Tao Zhan. Hybrid IoT Device Selection With Knowledge Transfer for Federated Learning. IEEE Internet of Things Journal (IOT). 11(7): 12216-12227, 2024.
  11. Guohao Lv, Yingchun Xia, Zhao Qi, Zihao Zhao, Lianggui Tang, Cheng Chen, Shuai Yang, Qingyong Wang, Lichuan Gu. LncRNA-protein interaction prediction with reweighted feature selection. BMC Bioinform. 24(1): 410, 2023.
  12. Xianjie Guo, Yujie Wang, Xiaoling Huang, Shuai Yang, and Kui Yu. Bootstrap-based Causal Structure Learning. Proceedings of the 31st ACM International Conference on Information and Knowledge Management (CIKM). 2022: 656-665. (CCF B）
  13. Qianlong Dang, Weifeng Gao, Maoguo Gong, and Shuai Yang. Multi-objective Multitasking Optimization based on Positive Knowledge Transfer Mechanism. Information Sciences (INS). 612: 322-343, 2022. (CCF B)
  14. Yujie Wang, Shuai Yang, Xianjie Guo, and Kui Yu. Improving Gradient-based DAG Learning by Structural Asymmetry. IEEE International Conference on Big Knowledge (ICBK). 2021: 94-101.
  15. Wentao Hu, Shuai Yang, Xianjie Guo, and Kui Yu. Accelerating Learning Bayesian Network Structures by Reducing Redundant CI Tests. IEEE International Conference on Big Knowledge (ICBK). 2021: 46-53.
  16. Chaofan Liu, Shuai Yang, and Kui Yu. Markov Boundary Learning With Streaming Data for Supervised Classification. IEEE Access 8: 102222-102234, 2020.
  17. Han Ding, Yuhong Zhang, Shuai Yang, and Yaojin Lin. Nonlinear Cross-Domain Feature Representation Learning Method Based on Dual Constraints. IEEE International Conference on Big Knowledge (ICBK). 2019: 66-72.

Projects

Selected Honors and Awards

Academic Service

Experiences

Education

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