Yiwei Fu

According to our database, Yiwei Fu authored at least 18 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

One Masked Model is All You Need for Sensor Fault Detection, Isolation and Accommodation.

Yiwei Fu, Weizhong Yan

CoRR, 2024

2023

Probabilistic and semantic descriptions of image manifolds and their applications.

Peter H. Tu, Zhaoyuan Yang, Richard I. Hartley, Zhiwei Xu, Jing Zhang, Yiwei Fu, Dylan Campbell, Jaskirat Singh, Tianyu Wang

Frontiers Comput. Sci., 2023

Masked Multi-Step Probabilistic Forecasting for Short-to-Mid-Term Electricity Demand.

Yiwei Fu, Nurali Virani, Honggang Wang

CoRR, 2023

2022

A Dynamically Stabilized Recurrent Neural Network.

Samer Saab, Yiwei Fu, Asok Ray, Michael Hauser

Neural Process. Lett., 2022

Masked Multi-Step Multivariate Time Series Forecasting with Future Information.

Yiwei Fu, Honggang Wang, Nurali Virani

CoRR, 2022

Backpropagation through Time and Space: Learning Numerical Methods with Multi-Agent Reinforcement Learning.

Elliot Way, Dheeraj S. K. Kapilavai, Yiwei Fu, Lei Yu

CoRR, 2022

Multi-agent Learning of Numerical Methods for Hyperbolic PDEs with Factored Dec-MDP.

Yiwei Fu, Dheeraj S. K. Kapilavai, Elliot Way

Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. The PAAMS Collection, 2022

MAD: Self-Supervised Masked Anomaly Detection Task for Multivariate Time Series.

Yiwei Fu, Feng Xue

Proceedings of the International Joint Conference on Neural Networks, 2022

2020

DeepReturn: A deep neural network can learn how to detect previously-unseen ROP payloads without using any heuristics.

Xusheng Li, Zhisheng Hu, Haizhou Wang, Yiwei Fu, Ping Chen, Minghui Zhu, Peng Liu

J. Comput. Secur., 2020

Spatiotemporal Representation Learning with GAN Trained LSTM-LSTM Networks.

Yiwei Fu, Shiraj Sen, Johan Reimann, Charles Theurer

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

A Dynamically Controlled Recurrent Neural Network for Modeling Dynamical Systems.

Yiwei Fu, Samer Saab Jr., Asok Ray, Michael Hauser

CoRR, 2019

2018

Bayesian Nonparametric Regression Modeling of Panel Data for Sequential Classification.

Sihan Xiong, Yiwei Fu, Asok Ray

IEEE Trans. Neural Networks Learn. Syst., 2018

Bayesian Nonparametric Modeling of Categorical Data for Information Fusion and Causal Inference.

Sihan Xiong, Yiwei Fu, Asok Ray

Entropy, 2018

ROPNN: Detection of ROP Payloads Using Deep Neural Networks.

Xusheng Li, Zhisheng Hu, Yiwei Fu, Ping Chen, Minghui Zhu, Peng Liu

CoRR, 2018

2017

Placement mitigation techniques for power grid electromigration.

Wei Ye, Yibo Lin, Xiaoqing Xu, Wuxi Li, Yiwei Fu, Yongsheng Sun, Canhui Zhan, David Z. Pan

Proceedings of the 2017 IEEE/ACM International Symposium on Low Power Electronics and Design, 2017

Wide-area optimal damping control system research with grid and generators coordination.

Wei Hu, Yiwei Fu, Dong Yu, Rui Yu, Baisi Liu

Proceedings of the 2017 IEEE Innovative Smart Grid Technologies - Asia, 2017

Probabilistic forecasting of symbol sequences with deep neural networks.

Michael Hauser, Yiwei Fu, Yue Li, Shashi Phoha, Asok Ray

Proceedings of the 2017 American Control Conference, 2017

2015

Localized thermal effect of sub-16nm FinFET technologies and its impact on circuit reliability designs and methodologies.

Yongsheng Sun, Canhui Zhan, Jianping Guo, Yiwei Fu, Guangming Li, Jun Xia

Proceedings of the IEEE International Reliability Physics Symposium, 2015