Yiwei Fu - RankMe

35 papers A* 5A 1B 3C 2Misc 1Journal 19Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Challenges in Enabling Private Data Valuation. CoRR Yiwei Fu, Tianhao Wang, Varun Chandrasekaran
2026	A*	`conf`	Edge Self-Adversarial Augmentation Enhances Graph Contrastive Learning Against Neighborhood Inconsistency. AAAI Chunchun Chen, Xing Wei, Jiayi Yang, Chenrun Wang, Yiwei Fu, Yuxing Zhang, Xin Sun, Rui Fan, Wei Ye
2026	A*	`conf`	Long-Tailed Recognition of Evidential Experts for Graph-level Classification. WWW Wei Ju, Siyu Yi, Zhengyang Mao, Yifang Qin, Yifan Wang, Zhiping Xiao, Yiwei Fu, Ziyue Qiao, Ming Zhang
2025	B	`conf`	A Physical Attack for Segmentation-Based Visual Foundation Models. IJCNN Mengqi He, Jinhong Ni, Zhaoyuan Yang, Yiwei Fu, John Karigiannis, Jing Zhang
2025	C	`conf`	Audio-Visual Deepfake Detection via Multi-Teacher Distillation of Content and Semantic Consistency. VCIP Beijia Sun, Haiqing Du, Yiwei Fu, Tingya Dong, Wenzhe Lu
2025	J	`jnl`	BLUR: A Benchmark for LLM Unlearning Robust to Forget-Retain Overlap. CoRR Shengyuan Hu, Neil Kale, Pratiksha Thaker, Yiwei Fu, Steven Wu, Virginia Smith
2025	J	`jnl`	Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference. CoRR Terrance Liu, Matteo Boglioni, Yiwei Fu, Shengyuan Hu, Pratiksha Thaker, Zhiwei Steven Wu
2025	—	`conf`	MARK: Multi-agent Collaboration with Ranking Guidance for Text-attributed Graph Clustering. ACL (Findings) Yiwei Fu, Yuxing Zhang, Chunchun Chen, JianwenMa JianwenMa, Quan Yuan, Rong-Cheng Tu, Xinli Huang, Wei Ye, Xiao Luo, Minghua Deng
2025	—	`conf`	PBEVFormer: A Lightweight Pedestrian Detection Method Based on Attention Optimization and Model Pruning. ICCIP Tingya Dong, Beijia Sun, Biyao Peng, Yiwei Fu, Junzhi Zeng
2025	A*	`conf`	Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation. ICML Junyu Luo, Yuhao Tang, Yiwei Fu, Xiao Luo, Zhizhuo Kou, Zhiping Xiao, Wei Ju, Wentao Zhang, Ming Zhang
2025	J	`jnl`	Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation. CoRR Junyu Luo, Yuhao Tang, Yiwei Fu, Xiao Luo, Zhizhuo Kou, Zhiping Xiao, Wei Ju, Wentao Zhang, Ming Zhang
2025	A*	`conf`	Unlearning or Obfuscating? Jogging the Memory of Unlearned LLMs via Benign Relearning. ICLR Shengyuan Hu, Yiwei Fu, Steven Z. Wu, Virginia Smith
2024	J	`jnl`	Continually adapting pre-trained language model to universal annotation of single-cell RNA-seq data. Briefings Bioinform. Hui Wan, Musu Yuan, Yiwei Fu, Minghua Deng
2024	J	`jnl`	Jogging the Memory of Unlearned Model Through Targeted Relearning Attack. CoRR Shengyuan Hu, Yiwei Fu, Zhiwei Steven Wu, Virginia Smith
2024	B	`conf`	One Masked Model is All You Need for Sensor Fault Detection, Isolation and Accommodation. IJCNN Yiwei Fu, Weizhong Yan
2024	J	`jnl`	One Masked Model is All You Need for Sensor Fault Detection, Isolation and Accommodation. CoRR Yiwei Fu, Weizhong Yan
2023	J	`jnl`	Masked Multi-Step Probabilistic Forecasting for Short-to-Mid-Term Electricity Demand. CoRR Yiwei Fu, Nurali Virani, Honggang Wang
2023	J	`jnl`	Probabilistic and semantic descriptions of image manifolds and their applications. Frontiers Comput. Sci. Peter H. Tu, Zhaoyuan Yang, Richard I. Hartley, Zhiwei Xu, Jing Zhang, Yiwei Fu, Dylan Campbell, Jaskirat Singh, Tianyu Wang
2022	J	`jnl`	A Dynamically Stabilized Recurrent Neural Network. Neural Process. Lett. Samer Saab, Yiwei Fu, Asok Ray, Michael Hauser
2022	J	`jnl`	Backpropagation through Time and Space: Learning Numerical Methods with Multi-Agent Reinforcement Learning. CoRR Elliot Way, Dheeraj S. K. Kapilavai, Yiwei Fu, Lei Yu
2022	B	`conf`	MAD: Self-Supervised Masked Anomaly Detection Task for Multivariate Time Series. IJCNN Yiwei Fu, Feng Xue
2022	J	`jnl`	MAD: Self-Supervised Masked Anomaly Detection Task for Multivariate Time Series. CoRR Yiwei Fu, Feng Xue
2022	J	`jnl`	Masked Multi-Step Multivariate Time Series Forecasting with Future Information. CoRR Yiwei Fu, Honggang Wang, Nurali Virani
2022	J	`jnl`	Multi-Agent Learning of Numerical Methods for Hyperbolic PDEs with Factored Dec-MDP. CoRR Yiwei Fu, Dheeraj S. K. Kapilavai, Elliot Way
2022	Misc	`conf`	Multi-agent Learning of Numerical Methods for Hyperbolic PDEs with Factored Dec-MDP. PAAMS Yiwei Fu, Dheeraj S. K. Kapilavai, Elliot Way
2020	J	`jnl`	DeepReturn: A deep neural network can learn how to detect previously-unseen ROP payloads without using any heuristics. J. Comput. Secur. Xusheng Li, Zhisheng Hu, Haizhou Wang, Yiwei Fu, Ping Chen, Minghui Zhu, Peng Liu
2020	A*	`conf`	Spatiotemporal Representation Learning with GAN Trained LSTM-LSTM Networks. ICRA Yiwei Fu, Shiraj Sen, Johan Reimann, Charles Theurer
2019	J	`jnl`	A Dynamically Controlled Recurrent Neural Network for Modeling Dynamical Systems. CoRR Yiwei Fu, Samer Saab Jr., Asok Ray, Michael Hauser
2018	J	`jnl`	Bayesian Nonparametric Modeling of Categorical Data for Information Fusion and Causal Inference. Entropy Sihan Xiong, Yiwei Fu, Asok Ray
2018	J	`jnl`	Bayesian Nonparametric Regression Modeling of Panel Data for Sequential Classification. IEEE Trans. Neural Networks Learn. Syst. Sihan Xiong, Yiwei Fu, Asok Ray
2018	J	`jnl`	ROPNN: Detection of ROP Payloads Using Deep Neural Networks. CoRR Xusheng Li, Zhisheng Hu, Yiwei Fu, Ping Chen, Minghui Zhu, Peng Liu
2017	A	`conf`	Placement mitigation techniques for power grid electromigration. ISLPED Wei Ye, Yibo Lin, Xiaoqing Xu, Wuxi Li, Yiwei Fu, Yongsheng Sun, Canhui Zhan, David Z. Pan
2017	C	`conf`	Probabilistic forecasting of symbol sequences with deep neural networks. ACC Michael Hauser, Yiwei Fu, Yue Li, Shashi Phoha, Asok Ray
2017	—	`conf`	Wide-area optimal damping control system research with grid and generators coordination. ISGT Asia Wei Hu, Yiwei Fu, Dong Yu, Rui Yu, Baisi Liu
2015	—	`conf`	Localized thermal effect of sub-16nm FinFET technologies and its impact on circuit reliability designs and methodologies. IRPS Yongsheng Sun, Canhui Zhan, Jianping Guo, Yiwei Fu, Guangming Li, Jun Xia