Yiwei Fu

According to our database, Yiwei Fu authored at least 31 papers between 2015 and 2026.

Collaborative distances:

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

2026

Challenges in Enabling Private Data Valuation.

Yiwei Fu, Tianhao Wang, Varun Chandrasekaran

CoRR, March, 2026

Long-Tailed Recognition of Evidential Experts for Graph-level Classification.

Wei Ju, Siyu Yi, Zhengyang Mao, Yifang Qin, Yifan Wang, Zhiping Xiao, Yiwei Fu, Ziyue Qiao, Ming Zhang

Proceedings of the ACM Web Conference 2026, 2026

Edge Self-Adversarial Augmentation Enhances Graph Contrastive Learning Against Neighborhood Inconsistency.

Chunchun Chen, Xing Wei, Jiayi Yang, Chenrun Wang, Yiwei Fu, Yuxing Zhang, Xin Sun, Rui Fan, Wei Ye

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

BLUR: A Benchmark for LLM Unlearning Robust to Forget-Retain Overlap.

Shengyuan Hu, Neil Kale, Pratiksha Thaker, Yiwei Fu, Steven Wu, Virginia Smith

CoRR, June, 2025

Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference.

Terrance Liu, Matteo Boglioni, Yiwei Fu, Shengyuan Hu, Pratiksha Thaker, Zhiwei Steven Wu

CoRR, June, 2025

Audio-Visual Deepfake Detection via Multi-Teacher Distillation of Content and Semantic Consistency.

Beijia Sun, Haiqing Du, Yiwei Fu, Tingya Dong, Wenzhe Lu

Proceedings of the International Conference on Visual Communications and Image Processing, 2025

A Physical Attack for Segmentation-Based Visual Foundation Models.

Mengqi He, Jinhong Ni, Zhaoyuan Yang, Yiwei Fu, John Karigiannis, Jing Zhang

Proceedings of the International Joint Conference on Neural Networks, 2025

Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation.

Junyu Luo, Yuhao Tang, Yiwei Fu, Xiao Luo, Zhizhuo Kou, Zhiping Xiao, Wei Ju, Wentao Zhang, Ming Zhang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Unlearning or Obfuscating? Jogging the Memory of Unlearned LLMs via Benign Relearning.

Shengyuan Hu, Yiwei Fu, Steven Z. Wu, Virginia Smith

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

PBEVFormer: A Lightweight Pedestrian Detection Method Based on Attention Optimization and Model Pruning.

Tingya Dong, Beijia Sun, Biyao Peng, Yiwei Fu, Junzhi Zeng

Proceedings of the 2025 11th International Conference on Communication and Information Processing, 2025

MARK: Multi-agent Collaboration with Ranking Guidance for Text-attributed Graph Clustering.

Yiwei Fu, Yuxing Zhang, Chunchun Chen, JianwenMa JianwenMa, Quan Yuan, Rong-Cheng Tu, Xinli Huang, Wei Ye, Xiao Luo, Minghua Deng

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

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

Hui Wan, Musu Yuan, Yiwei Fu, Minghua Deng

Briefings Bioinform., March, 2024

Jogging the Memory of Unlearned Model Through Targeted Relearning Attack.

Shengyuan Hu, Yiwei Fu, Zhiwei Steven Wu, Virginia Smith

CoRR, 2024

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

Yiwei Fu, Weizhong Yan

Proceedings of the International Joint Conference on Neural Networks, 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