参与的科研项目

1.“面向在线学习的基于SAF的推荐模型研究(项目号：61977013)”，国家自然科学基金，面上项目，50万元，2020.1-2023.12，主研，在研。

2.“基于梯度提升深度森林的网络教育平台中的推荐系统研究(项目号: 2019YJ0164)”，10万元，四川省科技厅，2019.1-2021.1，主研，结题。

3.“公共服务政策智能推送关键技术研究与原型系统研发(项目号：190241)”，CECT大数据研究工程公司，75万元，2019.5-2020.10，主研，结题。

发表SCI/EI论文十余篇，近五年部分论文成果：

[1] Zhongfeng Kang, Mads Nielsen, Bo Yang, Mostafa Mehdipour Ghazi, Partial feedback online transfer learning with multiple source domains, Information Fusion, vol. 89, pp. 29-40, 2023, DOI: 10.1016/j.inffus.2022.07.025 (中科院一区, Top, IF: 18.6).

[2] Zhongfeng Kang, Mads Nielsen, Bo Yang, Lihui Deng, Stephan Sloth Lorenzen, Online transfer leaning with partial feedback, Expert Systems with Applications，vol. 212, Article No. 118738, 2023, DOI: 10.1016/j.eswa.2022.118738. (中科院一区, Top, IF: 8.665).

[3] Zhongfeng Kang, Bo Yang, Zesong Li, Peng Wang, OTLAMC: An online transfer learning algorithm for multi-class classification, Knowledge-Based Systems, vol. 176, pp. 133-146, 2019, DOI: 10.1016/j.knosys.2019.03.024. (中科院一区, Top, IF: 8.139)

[4] Zhongfeng Kang, Bo Yang, Shantian Yang, Xiaomei Fang, Changjian Zhao, Online transfer learning with multiple source domains for multi-class classification, Knowledge-Based Systems, vol. 190, Article No. 105149, 2020, DOI: 10.1016/j.knosys.2019.105149. (中科院一区, Top, IF: 8.139)

[5] Zhongfeng Kang, Bo Yang, Mads Nielsen, Lihui Deng, Shantian Yang, A buffered online transfer learning algorithm with multi-layer networks, Neurocomputing, vol. 488, pp. 581-597, 2022, DOI: 10.1016/j.neucom.2021.11.066. (中科院二区, IF: 5.981)

[6] Zhongfeng Kang, Bo Yang, A study of optimal multi-server system configuration with variate deadlines and rental prices in cloud computing, in Proceedings of International Conference on Human Centered Computing (HCC), 2017, Kazan, Russia. pp. 215-231, DOI: 10.1007/978-3-319-74521-3_25.

[7] Shantian Yang, Bo Yang, Zheng Zeng, Zhongfeng Kang，Causal inference multi-agent reinforcement learning for traffic signal control，Information Fusion，vol. 94, pp.243-256, 2023, DOI:10.1016/j.inffus.2023 (中科院一区, Top, IF: 18.6).

[8] Lihui Deng, Bo Yang, Zhongfeng Kang, Shantian Yang, Shihu Wu, A noisy label and negative sample robust loss function for DNN-based distant supervised relation extraction, Neural Networks, vol. 139, pp. 358-370, 2021, DOI: 10.1016/j.neunet.2021.03.030. (中科院一区, IF: 8.050)

[9] Shantian Yang, Bo Yang, Zhongfeng Kang, Lihui Deng, IHG-MA: Inductive heterogeneous graph multi-agent reinforcement learning for multi-intersection traffic signal control, Neural Networks, vol. 139, pp. 265-277, 2021, DOI: 10.1016/j.neunet.2021.03.015. (中科院一区, IF: 8.050)

[10] Zixuan Deng, Yanping Xiang, Zhongfeng Kang, Build complementary models on human feedback for simulation to the real world, Knowledge-Based Systems, vol. 217, Article No. 106854, 2021, DOI: 10.1016/j.knosys.2021.106854. (中科院一区, IF: 8.139)

[11] Bo Yang, Jing Chen, Zhongfeng Kang, Dongsheng Li, Memory-aware gated factorization machine for top-N recommendation, Knowledge-Based Systems, vol. 201-202, Article No. 106048, 2020. DOI: 10.1016/j.knosys.2020.106048. (中科院一区, IF: 8.139)

[12] Shantian Yang, Bo Yang, Hau-San Wong, Zhongfeng Kang, Cooperative traffic signal control using multi-step return and off-policy asynchronous advantage actor-critic graph algorithm, Knowledge-Based Systems, vol. 183, Article No. 104855, 2019. DOI: 10.1016/j.knosys.2019.07.026. (中科院一区, IF: 8.139)

[13] Qinghua Zhao, Yuxuan Lei, Qiang Wang, Zhongfeng Kang, Junfeng Liu, Enhancing text representations separately with entity descriptions, Neurocomputing, vol. 552, Article No. 126511, 2023. DOI: 10.1016/j.neucom.2023.126511 (中科院二区, IF: 5.981)

课题组与哥本哈根大学、华盛顿大学、电子科技大学、商汤科技、西南财经大学、四川农业大学和西南石油大学等国内外科研机构长期保持良好合作关系。

担任包括Information Fusion、IEEE Transactions on Cybernetics、Knowledge-Based Systems、Applied Intelligence、International Journal of Machine Learning and Cybernetics、Mathematical Biosciences and Engineering在内的多个期刊的审稿人。

谷歌学术主页https://scholar.google.com/citations?user=gW2rG8oAAAAJ

欢迎对机器学习、计算机视觉和生物医学图像分析等课题感兴趣的硕士生、本科生加入。