从事深度学习、机器学习与大数据等领域的研究，关注样本稀缺、无标签等弱监督/无监督学习任务，在迁移学习、领域自适应等方向上做了系统性的深入研究，提出多个高效的跨域迁移学习算法，相关的研究成果已录用发表SCI及EI检索论文10余篇，另授权3项美国专利，担任多个国际期刊的审稿人。近年来参与教育部人工智能算法战略规划课题、国家自然科学基金项目、上海市自然科学基金项目等多项科研项目。

• 深度学习

- 迁移学习，领域自适应，可解释神经网络，小样本学习，持续学习

• 机器学习与大数据

- 数据挖掘，异常检测，故障诊断，大规模数据聚类

• 同济大学电子与信息工程学院                               2017.09-2023.06 

专业：控制科学与工程（博士，直接攻博）

导师：康琦教授

• 新泽西理工学院（美国）电子与计算机工程系              2019.10-2021.10 

国家公派联合培养

导师：Prof. Mengchu Zhou（周孟初）, Fellow of IEEE, IFAC, AAAS, CAA, and NAI

• 东华大学信息科学与技术学院                                2013.09-2017.06  

  专业：自动化（本科）

• 浙江工商大学信息与电子工程学院                           2023.09至今 

• 担任国际期刊审稿人

- IEEE Transactions on Systems, Man and Cybernetics: Systems

- ACM Computing Surveys

- IEEE Transactions on Intelligent Transportation Systems

• Invited Talk，IEEE Northern Jersey Section-SMC Chapter Seminar 主题报告：Domain Adaptation via Enhanced Subspace Distribution Matching and Generative Adversarial Distribution Matching

• 参与中国-法国“人工智能工业4.0”国际学术论坛并做主题报告：Intelligent Operation and Maintenance in PV monitoring system Based on Two Unsupervised Baseline Models

•  专业选修课《人工智能安全与隐私保护》

•  实验课 Electrical Drive Systems (H6097)  

[1] Siya Yao, Qi Kang, Mengchu Zhou, Muhyaddin J. Rawa, Aiiad Albeshri. Discriminative Manifold Distribution Alignment for Domain Adaptation. IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. 53, no. 2, pp. 1183-1197, Feb. 2023. (中科院SCI一区Top, IF: 8.7)

[2] Siya Yao, Qi Kang, Mengchu Zhou, Muhyaddin J. Rawa, Abdullah Abusorrah. A Survey of Transfer Learning for Machinery Diagnostics and Prognostics. Artificial Intelligence Review, vol. 56, pp. 2871–2922, Apr. 2023. (中科院SCI二区, IF: 12.0)

[3] Qi Kang, Siya Yao, Mengchu Zhou, Kai Zhang, Abdullah Abusorrah. Effective Visual Domain Adaptation via Generative Adversarial Distribution Matching. IEEE Transactions on Neural Network and Learning System, vol. 32, no. 9, pp. 3919–3929, Sept. 2021. (中科院SCI一区Top, IF: 10.4)

[4] Qi Kang, Siya Yao, Mengchu Zhou, Kai Zhang, Abdullah Abusorrah. Enhanced Subspace Distribution Matching for Fast Visual Domain Adaptation. IEEE Transactions on Computational Social Systems, vol. 7, no. 4, pp. 1047-1057, Aug. 2020.(中科院SCI二区, IF: 5.0)

[5] Siya Yao,Qi Kang, Mengchu Zhou, Abdullah Abusorrah, Yusuf Al-Turki. Intelligent and Data-Driven Fault Detection of Photovoltaic Plants. Processes, vol. 9, no. 10, pp. 1711, Sept. 2021. (中科院SCI三区, IF: 3.5)

[6] Xiaoling Wang, Qi Kang, Mengchu Zhou, Siya Yao, Abdullah Abusorrah. Domain Adaptation Multitask Optimization. IEEE Transactions on Cybernetics, vol. 7, no. 53, pp. 4567–4578, Jul. 2023.(中科院SCI一区Top, IF: 11.8)

[7] Jiacheng Tang, Qi Kang, Mengchu Zhou, Hao Yin, Siya Yao. MemeNet: Toward a Reliable Local Projection for Image Recognition via Semantic Featurization. IEEE Transactions on Image Processing, vol. 33, pp. 1670-1682, Feb. 2024. (中科院SCI一区Top, IF: 10.6)

[8] Qingliang Zhang, Quanwang Wu, Mengchu Zhou, Junhao Wen, Siya Yao. A Communication Contention-Cognizant Scheduling Approach for Workflow Execution Across Public and Private Clouds. IEEE Transactions on Automation Science and Engineering, Early Access, pp. 1-12, Dec. 2023. (中科院SCI二区, IF: 5.6)

[9] 李曼洁, 吴照, 徐斌辰, 于子博, 姚思雅. 汽车制造厂油漆车间能耗预测模型[J]. 微型电脑应用, 2019, 35(3): 1-4, 18.

[10] Siya Yao,Yu Zhao, Qi Deng, Jun Ma, Qi Kang. Multi-objective Neural Architecture Adaptation in Transfer Learning. 19^thIEEE International Conference on Networking, Sensing and Control (ICNSC2022), pp. 1-5, Dec. 2022, Shanghai, China.

[11] Siya Yao,Le Pan, Qi Kang, Mengchu Zhou. Hierarchically Non-continuous Regression Prediction for Short-Term Photovoltaic Power Output.16^thIEEE International Conference on Networking, Sensing and Control (ICNSC2019), pp. 379-384, May 2019, Banff, Canada.

[12] Zonglin Di, Siya Yao,Qi Kang, Mengchu Zhou. An Adaptive Pre-clustering Support Vector Machine for Binary Imbalanced Classification. IEEE International Conference on Systems, Man, and Cybernetics (SMC) 2020, pp. 681-686, Oct. 2018, Miyazaki, Japan. (CCF C类)

[13] Xuesong Wang, Qi Kang, Mengchu Zhou, Siya Yao. A Multiscale Concept Drift Detection Method for Learning from Data Streams. IEEE International Conference on Automation Science and Engineering (CASE) 2018, pp. 786-790, Aug. 2018, Munich, Germany.

[1]   国家自然科学基金委员会，自然科学基金面上项目，高铁受电弓系统故障诊断非平稳多模态数据在线学习方法研究，2018-01至2021-12，62万元，已结题，参与

[2]   上海市科学技术委员会，自然科学基金面上项目，面向连续任务的进化迁移学习方法研究，2023-04 至 2026-03，20万元，在研，参与

[3]   上海市科学技术委员会，同济大学学科交叉联合攻关首批示范项目，生成式鲁棒连续学习方法研究，2021-08 至 2022-07，20万元，结题，参与

[4]   教育部，教育部人工智能算法战略规划研究课题，人机混合增强智能在线知识演化算法，2020-01 至 2021-12，45万元，结题，参与

[1] 康琦, 赵俣, 姚思雅, 李浩军, 徐其慧. 一种双向生成领域自适应数据分类方法, 2022, CN202211629963.9

[2] Yusuf Al-Turki, Qi Kang, Siya Yao, Mengchu Zhou. Monitoring and Fault Detection Method and System for Photovoltaic Plants. United States Patent, US10826428B1, Dec. 6, 2019.

[3] Yusuf Al-Turki, Abdullah Abusorrah, Qi Kang, Siya Yao, Kai Zhang, Mengchu Zhou. System for Fast and Accurate Visual Domain Adaption. United States Patent, US10839269B1, Nov. 17, 2020.

[4] Abdullah Abusorrah, Yusuf Al-Turki, MengChu Zhou, Siya Yao. AUC-maximized High-Accuracy Classifier for Imbalanced Datasets. United States Patent, US10970650B1, Apr. 6, 2021.

[5] 杨令晨, 丁永生, 张悦, 蒋章, 金晓涛, 姚思雅. 一种基于多信息融合的无人机地面基站的定位方法, 2020, CN201710109786.4