Yiwei Fu

According to our database1, Yiwei Fu authored at least 25 papers between 2015 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2025
Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation.
CoRR, July, 2025

BLUR: A Benchmark for LLM Unlearning Robust to Forget-Retain Overlap.
CoRR, June, 2025

Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference.
CoRR, June, 2025

Unlearning or Obfuscating? Jogging the Memory of Unlearned LLMs via Benign Relearning.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MARK: Multi-agent Collaboration with Ranking Guidance for Text-attributed Graph Clustering.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Jogging the Memory of Unlearned Model Through Targeted Relearning Attack.
CoRR, 2024

Continually adapting pre-trained language model to universal annotation of single-cell RNA-seq data.
Briefings Bioinform., 2024

One Masked Model is All You Need for Sensor Fault Detection, Isolation and Accommodation.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
Probabilistic and semantic descriptions of image manifolds and their applications.
Frontiers Comput. Sci., 2023

Masked Multi-Step Probabilistic Forecasting for Short-to-Mid-Term Electricity Demand.
CoRR, 2023

2022
A Dynamically Stabilized Recurrent Neural Network.
Neural Process. Lett., 2022

Masked Multi-Step Multivariate Time Series Forecasting with Future Information.
CoRR, 2022

Backpropagation through Time and Space: Learning Numerical Methods with Multi-Agent Reinforcement Learning.
CoRR, 2022

Multi-agent Learning of Numerical Methods for Hyperbolic PDEs with Factored Dec-MDP.
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.
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.
J. Comput. Secur., 2020

Spatiotemporal Representation Learning with GAN Trained LSTM-LSTM Networks.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
A Dynamically Controlled Recurrent Neural Network for Modeling Dynamical Systems.
CoRR, 2019

2018
Bayesian Nonparametric Regression Modeling of Panel Data for Sequential Classification.
IEEE Trans. Neural Networks Learn. Syst., 2018

Bayesian Nonparametric Modeling of Categorical Data for Information Fusion and Causal Inference.
Entropy, 2018

ROPNN: Detection of ROP Payloads Using Deep Neural Networks.
CoRR, 2018

2017
Placement mitigation techniques for power grid electromigration.
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.
Proceedings of the 2017 IEEE Innovative Smart Grid Technologies - Asia, 2017

Probabilistic forecasting of symbol sequences with deep neural networks.
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.
Proceedings of the IEEE International Reliability Physics Symposium, 2015


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