Ruihan Wu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 31

Top Topics

Teaching Dimension

Influence Maximization

Gaussian Process

Top Venues

Publications

Ruihan Wu, Siddhartha Datta, Yi Su, Dheeraj Baby, Yu-Xiang Wang, Kilian Q. Weinberger
Online Feature Updates Improve Online (Generalized) Label Shift Adaptation. CoRR (2024)
Ruihan Wu, Donglin Xie, Juan Du
The binding pattern of ferric iron and iron-binding protein in Botrytis cinerea. Comput. Biol. Medicine 178 (2024)
Yu Wang, Ruihan Wu, Zexue He, Xiusi Chen, Julian J. McAuley
Large Scale Knowledge Washing. CoRR (2024)
Ruihan Wu, Tianfa Hong, Fangying Wan
MRME-Net: Towards multi-semantics learning and long-tail problem of efficient event detection from social messages. J. King Saud Univ. Comput. Inf. Sci. 36 (5) (2024)
Jin Peng Zhou, Christian K. Belardi, Ruihan Wu, Travis Zhang, Carla P. Gomes, Wen Sun, Kilian Q. Weinberger
On Speeding Up Language Model Evaluation. CoRR (2024)
Ruihan Wu, Pengrun Huang, Kamalika Chaudhuri
Better Membership Inference Privacy Measurement through Discrepancy. CoRR (2024)
Jun Jiang, Ruihan Wu, Jinfeng Liu, Xuerui Wu, Qiang Wu, Prem Ranjan, Xiaoqin Zhang, Jun Liu
S-Taper Fiber Based Moisture Sensing in Power Transformer Oil. IEEE Trans. Instrum. Meas. 72 (2023)
Ruihan Wu, Jin Peng Zhou, Kilian Q. Weinberger, Chuan Guo
Does Label Differential Privacy Prevent Label Inference Attacks? AISTATS (2023)
Ruihan Wu, Xiangyu Chen, Chuan Guo, Kilian Q. Weinberger
Learning To Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning. UAI (2023)
Ruihan Wu, Chuan Guo, Kamalika Chaudhuri
Large-Scale Public Data Improves Differentially Private Image Generation Quality. CoRR (2023)
Ruihan Wu, Xin Yang, Yuanshun Yao, Jiankai Sun, Tianyi Liu, Kilian Q. Weinberger, Chong Wang
Differentially Private Multi-Party Data Release for Linear Regression. CoRR (2022)
Mengqi Cui, Kun Zhang, Ruihan Wu, Juan Du
Exploring the interaction mechanism between antagonist and the jasmonate receptor complex by molecular dynamics simulation. J. Comput. Aided Mol. Des. 36 (2) (2022)
Ruihan Wu, Xin Yang, Yuanshun Yao, Jiankai Sun, Tianyi Liu, Kilian Q. Weinberger, Chong Wang
Differentially private multi-party data release for linear regression. UAI (2022)
Ruihan Wu, Xiangyu Chen, Chuan Guo, Kilian Q. Weinberger
Learning to Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning. CoRR (2022)
Ruihan Wu, Jin Peng Zhou, Kilian Q. Weinberger, Chuan Guo
Does Label Differential Privacy Prevent Label Inference Attacks? CoRR (2022)
Ruihan Wu, Chuan Guo, Yi Su, Kilian Q. Weinberger
Online Adaptation to Label Distribution Shift. CoRR (2021)
Ruihan Wu, Chuan Guo, Felix Wu, Rahul Kidambi, Laurens van der Maaten, Kilian Q. Weinberger
Making Paper Reviewing Robust to Bid Manipulation Attacks. CoRR (2021)
Ruihan Wu, Chuan Guo, Awni Y. Hannun, Laurens van der Maaten
Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems. CoRR (2021)
Ruihan Wu, Chuan Guo, Felix Wu, Rahul Kidambi, Laurens van der Maaten, Kilian Q. Weinberger
Making Paper Reviewing Robust to Bid Manipulation Attacks. ICML (2021)
Ruihan Wu, Chuan Guo, Yi Su, Kilian Q. Weinberger
Online Adaptation to Label Distribution Shift. NeurIPS (2021)
Ruihan Wu, Chuan Guo, Awni Y. Hannun, Laurens van der Maaten
Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems. NeurIPS (2021)
Junan Chen, Yan Wang, Ruihan Wu, Mark Campbell
Spatial-Temporal Graph Neural Network For Interaction-Aware Vehicle Trajectory Prediction. CASE (2021)
Cole Miles, Annabelle Bohrdt, Ruihan Wu, Christie Chiu, Muqing Xu, Geoffrey Ji, Markus Greiner, Kilian Q. Weinberger, Eugene Demler, Eun-Ah Kim
Correlator Convolutional Neural Networks: An Interpretable Architecture for Image-like Quantum Matter Data. CoRR (2020)
Wei Chen, Ruihan Wu, Zheng Yu
Scalable Lattice Influence Maximization. IEEE Trans. Comput. Soc. Syst. 7 (4) (2020)
Chuan Guo, Ruihan Wu, Kilian Q. Weinberger
TrojanNet: Embedding Hidden Trojan Horse Models in Neural Networks. CoRR (2020)
Jacob R. Gardner, Geoff Pleiss, Ruihan Wu, Kilian Q. Weinberger, Andrew Gordon Wilson
Product Kernel Interpolation for Scalable Gaussian Processes. CoRR (2018)
Ruihan Wu, Zheng Yu, Wei Chen
Scalable Influence Maximization with General Marketing Strategies. CoRR (2018)
Yiran Li, Da Wei, Xiaoqi Chen, Ziheng Song, Ruihan Wu, Yuxing Li, Xin Jin, Wei Xu
DumbNet: a smart data center network fabric with dumb switches. EuroSys (2018)
Jacob R. Gardner, Geoff Pleiss, Ruihan Wu, Kilian Q. Weinberger, Andrew Gordon Wilson
Product Kernel Interpolation for Scalable Gaussian Processes. AISTATS (2018)
Lunjia Hu, Ruihan Wu, Tianhong Li, Liwei Wang
Quadratic Upper Bound for Recursive Teaching Dimension of Finite VC Classes. COLT (2017)
Lunjia Hu, Ruihan Wu, Tianhong Li, Liwei Wang
Quadratic Upper Bound for Recursive Teaching Dimension of Finite VC Classes. CoRR (2017)