Ruihan Wu

According to our database, Ruihan Wu authored at least 26 papers between 2017 and 2024.

Collaborative distances:

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

2024

MRME-Net: Towards multi-semantics learning and long-tail problem of efficient event detection from social messages.

Ruihan Wu, Tianfa Hong, Fangying Wan

J. King Saud Univ. Comput. Inf. Sci., 2024

Privacy-Preserving Retrieval Augmented Generation with Differential Privacy.

Tatsuki Koga, Ruihan Wu, Kamalika Chaudhuri

CoRR, 2024

Evaluating Deep Unlearning in Large Language Models.

Ruihan Wu, Chhavi Yadav, Russ Salakhutdinov, Kamalika Chaudhuri

CoRR, 2024

Influence-based Attributions can be Manipulated.

Chhavi Yadav, Ruihan Wu, Kamalika Chaudhuri

CoRR, 2024

On Speeding Up Language Model Evaluation.

Jin Peng Zhou, Christian K. Belardi, Ruihan Wu, Travis Zhang, Carla P. Gomes, Wen Sun, Kilian Q. Weinberger

CoRR, 2024

Large Scale Knowledge Washing.

Yu Wang, Ruihan Wu, Zexue He, Xiusi Chen, Julian J. McAuley

CoRR, 2024

Better Membership Inference Privacy Measurement through Discrepancy.

Ruihan Wu, Pengrun Huang, Kamalika Chaudhuri

CoRR, 2024

The binding pattern of ferric iron and iron-binding protein in Botrytis cinerea.

Ruihan Wu, Donglin Xie, Juan Du

Comput. Biol. Medicine, 2024

Online Feature Updates Improve Online (Generalized) Label Shift Adaptation.

Ruihan Wu, Siddhartha Datta, Yi Su, Dheeraj Baby, Yu-Xiang Wang, Kilian Q. Weinberger

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

S-Taper Fiber Based Moisture Sensing in Power Transformer Oil.

Jun Jiang, Ruihan Wu, Jinfeng Liu, Xuerui Wu, Qiang Wu, Prem Ranjan, Xiaoqin Zhang, Jun Liu

IEEE Trans. Instrum. Meas., 2023

Large-Scale Public Data Improves Differentially Private Image Generation Quality.

Ruihan Wu, Chuan Guo, Kamalika Chaudhuri

CoRR, 2023

Learning To Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning.

Ruihan Wu, Xiangyu Chen, Chuan Guo, Kilian Q. Weinberger

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Does Label Differential Privacy Prevent Label Inference Attacks?

Ruihan Wu, Jin Peng Zhou, Kilian Q. Weinberger, Chuan Guo

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Exploring the interaction mechanism between antagonist and the jasmonate receptor complex by molecular dynamics simulation.

Mengqi Cui, Kun Zhang, Ruihan Wu, Juan Du

J. Comput. Aided Mol. Des., 2022

Differentially private multi-party data release for linear regression.

Ruihan Wu, Xin Yang, Yuanshun Yao, Jiankai Sun, Tianyi Liu, Kilian Q. Weinberger, Chong Wang

Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021

Online Adaptation to Label Distribution Shift.

Ruihan Wu, Chuan Guo, Yi Su, Kilian Q. Weinberger

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems.

Ruihan Wu, Chuan Guo, Awni Y. Hannun, Laurens van der Maaten

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Making Paper Reviewing Robust to Bid Manipulation Attacks.

Ruihan Wu, Chuan Guo, Felix Wu, Rahul Kidambi, Laurens van der Maaten, Kilian Q. Weinberger

Proceedings of the 38th International Conference on Machine Learning, 2021

Spatial-Temporal Graph Neural Network For Interaction-Aware Vehicle Trajectory Prediction.

Junan Chen, Yan Wang, Ruihan Wu, Mark Campbell

Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

2020

Scalable Lattice Influence Maximization.

Wei Chen, Ruihan Wu, Zheng Yu

IEEE Trans. Comput. Soc. Syst., 2020

Correlator Convolutional Neural Networks: An Interpretable Architecture for Image-like Quantum Matter Data.

Cole Miles, Annabelle Bohrdt, Ruihan Wu, Christie Chiu, Muqing Xu, Geoffrey Ji, Markus Greiner, Kilian Q. Weinberger, Eugene Demler, Eun-Ah Kim

CoRR, 2020

TrojanNet: Embedding Hidden Trojan Horse Models in Neural Networks.

Chuan Guo, Ruihan Wu, Kilian Q. Weinberger

CoRR, 2020

2018

Scalable Influence Maximization with General Marketing Strategies.

Ruihan Wu, Zheng Yu, Wei Chen

CoRR, 2018

DumbNet: a smart data center network fabric with dumb switches.

Yiran Li, Da Wei, Xiaoqi Chen, Ziheng Song, Ruihan Wu, Yuxing Li, Xin Jin, Wei Xu

Proceedings of the Thirteenth EuroSys Conference, 2018

Product Kernel Interpolation for Scalable Gaussian Processes.

Jacob R. Gardner, Geoff Pleiss, Ruihan Wu, Kilian Q. Weinberger, Andrew Gordon Wilson

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Quadratic Upper Bound for Recursive Teaching Dimension of Finite VC Classes.

Lunjia Hu, Ruihan Wu, Tianhong Li, Liwei Wang

Proceedings of the 30th Conference on Learning Theory, 2017