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 (IRPS, 2015)

Probabilistic forecasting of symbol sequences with deep neural networks. - Michael Hauser; Yiwei Fu; Yue Li 014; Shashi Phoha; Asok Ray (ACC, 2017)

Wide-area optimal damping control system research with grid and generators coordination. - Wei Hu; Yiwei Fu; Dong Yu; Rui Yu; Baisi Liu (ISGT Asia, 2017)

Placement mitigation techniques for power grid electromigration. - Wei Ye 008; Yibo Lin; Xiaoqing Xu; Wuxi Li; Yiwei Fu; Yongsheng Sun; Canhui Zhan; David Z. Pan (ISLPED, 2017)

ROPNN: Detection of ROP Payloads Using Deep Neural Networks. - Xusheng Li; Zhisheng Hu; Yiwei Fu; Ping Chen 003; Minghui Zhu; Peng Liu 005 (CoRR, 2018)

Bayesian Nonparametric Modeling of Categorical Data for Information Fusion and Causal Inference. - Sihan Xiong; Yiwei Fu; Asok Ray (Entropy, 2018)

Bayesian Nonparametric Regression Modeling of Panel Data for Sequential Classification. - Sihan Xiong; Yiwei Fu; Asok Ray (IEEE Trans. Neural Networks Learn. Syst., 2018)

A Dynamically Controlled Recurrent Neural Network for Modeling Dynamical Systems. - Yiwei Fu; Samer Saab Jr.; Asok Ray; Michael Hauser (CoRR, 2019)

Spatiotemporal Representation Learning with GAN Trained LSTM-LSTM Networks. - Yiwei Fu; Shiraj Sen; Johan Reimann; Charles Theurer (ICRA, 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 003; Minghui Zhu; Peng Liu 005 (J. Comput. Secur., 2020)

MAD: Self-Supervised Masked Anomaly Detection Task for Multivariate Time Series. - Yiwei Fu; Feng Xue (IJCNN, 2022)

Multi-agent Learning of Numerical Methods for Hyperbolic PDEs with Factored Dec-MDP. - Yiwei Fu; Dheeraj S. K. Kapilavai; Elliot Way (PAAMS, 2022)

Backpropagation through Time and Space: Learning Numerical Methods with Multi-Agent Reinforcement Learning. - Elliot Way; Dheeraj S. K. Kapilavai; Yiwei Fu; Lei Yu 001 (CoRR, 2022)

Masked Multi-Step Multivariate Time Series Forecasting with Future Information. - Yiwei Fu; Honggang Wang; Nurali Virani (CoRR, 2022)

A Dynamically Stabilized Recurrent Neural Network. - Samer Saab 002; Yiwei Fu; Asok Ray; Michael Hauser (Neural Process. Lett., 2022)

Masked Multi-Step Probabilistic Forecasting for Short-to-Mid-Term Electricity Demand. - Yiwei Fu; Nurali Virani; Honggang Wang (CoRR, 2023)

Probabilistic and semantic descriptions of image manifolds and their applications. - Peter H. Tu; Zhaoyuan Yang; Richard I. Hartley; Zhiwei Xu; Jing Zhang 052; Yiwei Fu; Dylan Campbell; Jaskirat Singh; Tianyu Wang (Frontiers Comput. Sci., 2023)

One Masked Model is All You Need for Sensor Fault Detection, Isolation and Accommodation. - Yiwei Fu; Weizhong Yan (IJCNN, 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., 2024)

Jogging the Memory of Unlearned Model Through Targeted Relearning Attack. - Shengyuan Hu 001; Yiwei Fu; Zhiwei Steven Wu; Virginia Smith (CoRR, 2024)

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 001; Minghua Deng (ACL (Findings), 2025)

Unlearning or Obfuscating? Jogging the Memory of Unlearned LLMs via Benign Relearning. - Shengyuan Hu 001; Yiwei Fu; Steven Z. Wu; Virginia Smith (ICLR, 2025)

Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference. - Terrance Liu; Matteo Boglioni; Yiwei Fu; Shengyuan Hu 001; Pratiksha Thaker; Zhiwei Steven Wu (CoRR, 2025)

BLUR: A Benchmark for LLM Unlearning Robust to Forget-Retain Overlap. - Shengyuan Hu 001; Neil Kale; Pratiksha Thaker; Yiwei Fu; Steven Wu 001; Virginia Smith (CoRR, 2025)

Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation. - Junyu Luo 002; Yuhao Tang; Yiwei Fu; Xiao Luo 001; Zhizhuo Kou; Zhiping Xiao 001; Wei Ju 001; Wentao Zhang 001; Ming Zhang 004 (CoRR, 2025)