Portfolio item number 1
Short description of portfolio item number 1
Short description of portfolio item number 1
Short description of portfolio item number 2
Guoui Li, Jingsha He, Sancheng Peng, Weija Jia, Cong Wang, Jianwei Niu, Shui Yu. Energy Efficient Data Collection in Large-scale Internet of Things via Computation Offloading. IEEE Internet of Things Journal. 2019, 6(3): 4176-4187. Link
Guoui Li, Guang Guo, Sancheng Peng, Cong Wang, Shui Yu, Jianwei Niu, Jianli Mo. Matrix Completion via Schatten Capped p Norm. IEEE Transactions on Knowledge and Data Engineering. 2022, 34(1): 394-404. Link
Guoui Li, Yajun Wu, Cong Wang, Sancheng Peng, Jianwei Niu, Shui Yu. The SRVM: A Similarity-Based Relevance Vector Machine for Remaining Useful Lifetime Prediction in the Industrial Internet of Things. IEEE Intelligent Systems, 2023, 38(5): 45-55. Link
李国瑞, 徐鹏飞, 彭三城, 阳爱民. 基于张量奇异值分解的视觉域自适应方法. 计算机学报, 2023, 46(10): 2084-2096. Link
Guorui Li, Pengfei Xu, Sancheng Peng, Cong Wang, Yi Cai, Shui Yu. TTSR: Tensor-Train Subspace Representation Method for Visual Domain Adaptation. IEEE Transactions on Knowledge and Data Engineering. 2024, 36(11): 7229-7241. Link
Cong Wang, Yaoming Wang, Ying Yuan, Sancheng Peng, Guorui Li, Pengfei Yin. Joint computation offloading and resource allocation for end-edge collaboration in internet of vehicles via multi-agent reinforcement learning. Neural Networks, 2024, 179: 106621. Link
Cong Wang, Xiaojuan Chai, Sancheng Peng, Ying Yuan, Guorui Li. Deep Reinforcement Learning with Entropy and Attention Mechanism for D2D-Assisted Task Offloading in Edge Computing. IEEE Transactions on Services Computing, 2024, 17(6): 3317-3329. Link
Guorui Li, Runxing Chang, Ying Wang, Cong Wang. Dual-domain based backdoor attack against federated learning. Neurocomputing, 2025, 129424: 1-13. Link
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
Undergraduate course, Northeastern University, 2024
《C++程序设计》是信息类本科生的一门学科基础类课程,它是为学生掌握当前最基本的面向对象程序设计方法而设置的。通过本课程的学习,使学生比较熟练地掌握C++语言的语法规则、基本概念和简单算法,掌握基本的程序设计过程和技巧;具备初步的高级语言程序设计能力和编程经验,能够熟练应用集成环境进行C++语言的编写、编译与调试,在此基础上增加面向对象的基本知识,掌握C++输入输出流操作,以及类的基本定义和使用。