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2020 – today
- 2024
[c8]Yiwei Fu, Weizhong Yan:
One Masked Model is All You Need for Sensor Fault Detection, Isolation and Accommodation. IJCNN 2024: 1-8- [i9]Yiwei Fu, Weizhong Yan:
One Masked Model is All You Need for Sensor Fault Detection, Isolation and Accommodation. CoRR abs/2403.16153 (2024) - [i8]Shengyuan Hu, Yiwei Fu, Zhiwei Steven Wu, Virginia Smith:
Jogging the Memory of Unlearned Model Through Targeted Relearning Attack. CoRR abs/2406.13356 (2024) - 2023
- [j5]Peter H. Tu, Zhaoyuan Yang, Richard I. Hartley, Zhiwei Xu, Jing Zhang, Yiwei Fu, Dylan Campbell
, Jaskirat Singh, Tianyu Wang:
Probabilistic and semantic descriptions of image manifolds and their applications. Frontiers Comput. Sci. 5 (2023) - [i7]Yiwei Fu, Nurali Virani, Honggang Wang:
Masked Multi-Step Probabilistic Forecasting for Short-to-Mid-Term Electricity Demand. CoRR abs/2302.06818 (2023) - 2022
- [j4]Samer Saab, Yiwei Fu, Asok Ray, Michael Hauser:
A Dynamically Stabilized Recurrent Neural Network. Neural Process. Lett. 54(2): 1195-1209 (2022) - [c7]Yiwei Fu, Feng Xue:
MAD: Self-Supervised Masked Anomaly Detection Task for Multivariate Time Series. IJCNN 2022: 1-8 - [c6]Yiwei Fu, Dheeraj S. K. Kapilavai, Elliot Way:
Multi-agent Learning of Numerical Methods for Hyperbolic PDEs with Factored Dec-MDP. PAAMS 2022: 179-190 - [i6]Elliot Way, Dheeraj S. K. Kapilavai, Yiwei Fu, Lei Yu:
Backpropagation through Time and Space: Learning Numerical Methods with Multi-Agent Reinforcement Learning. CoRR abs/2203.08937 (2022) - [i5]Yiwei Fu, Feng Xue:
MAD: Self-Supervised Masked Anomaly Detection Task for Multivariate Time Series. CoRR abs/2205.02100 (2022) - [i4]Yiwei Fu, Dheeraj S. K. Kapilavai, Elliot Way:
Multi-Agent Learning of Numerical Methods for Hyperbolic PDEs with Factored Dec-MDP. CoRR abs/2205.15716 (2022) - [i3]Yiwei Fu, Honggang Wang, Nurali Virani:
Masked Multi-Step Multivariate Time Series Forecasting with Future Information. CoRR abs/2209.14413 (2022) - 2020
- [j3]Xusheng Li, Zhisheng Hu, Haizhou Wang, Yiwei Fu, Ping Chen, Minghui Zhu, Peng Liu:
DeepReturn: A deep neural network can learn how to detect previously-unseen ROP payloads without using any heuristics. J. Comput. Secur. 28(5): 499-523 (2020) - [c5]Yiwei Fu, Shiraj Sen, Johan Reimann, Charles Theurer:
Spatiotemporal Representation Learning with GAN Trained LSTM-LSTM Networks. ICRA 2020: 10548-10555
2010 – 2019
- 2019
- [i2]Yiwei Fu, Samer Saab Jr., Asok Ray, Michael Hauser:
A Dynamically Controlled Recurrent Neural Network for Modeling Dynamical Systems. CoRR abs/1911.00089 (2019) - 2018
- [j2]Sihan Xiong, Yiwei Fu, Asok Ray:
Bayesian Nonparametric Modeling of Categorical Data for Information Fusion and Causal Inference. Entropy 20(6): 396 (2018) - [j1]Sihan Xiong, Yiwei Fu, Asok Ray:
Bayesian Nonparametric Regression Modeling of Panel Data for Sequential Classification. IEEE Trans. Neural Networks Learn. Syst. 29(9): 4128-4139 (2018) - [i1]Xusheng Li, Zhisheng Hu, Yiwei Fu, Ping Chen, Minghui Zhu, Peng Liu:
ROPNN: Detection of ROP Payloads Using Deep Neural Networks. CoRR abs/1807.11110 (2018) - 2017
- [c4]Michael Hauser, Yiwei Fu, Yue Li, Shashi Phoha, Asok Ray:
Probabilistic forecasting of symbol sequences with deep neural networks. ACC 2017: 3147-3152 - [c3]Wei Hu, Yiwei Fu, Dong Yu, Rui Yu, Baisi Liu:
Wide-area optimal damping control system research with grid and generators coordination. ISGT Asia 2017: 1-6 - [c2]Wei Ye, Yibo Lin, Xiaoqing Xu, Wuxi Li, Yiwei Fu, Yongsheng Sun, Canhui Zhan, David Z. Pan:
Placement mitigation techniques for power grid electromigration. ISLPED 2017: 1-6 - 2015
- [c1]Yongsheng Sun, Canhui Zhan, Jianping Guo, Yiwei Fu, Guangming Li, Jun Xia:
Localized thermal effect of sub-16nm FinFET technologies and its impact on circuit reliability designs and methodologies. IRPS 2015: 3
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