Ruihan Wu (吴睿涵)

Hi! I am currently a fifth year Ph.D. candidate in Computer Science Department of Cornell University. I am very fortunate to be advised by Kilian Q. Weinberger. Before Cornell, I received my B.E. in computer science from Yao Class, Tsinghua University. My research recently focuses on studying privacy and security problems raised from ML algorithms and analyzing the test-time usage of models. Previously, I worked on several other topics such as learning theory, Gaussian processes and influence maximization.

Office: 325, Gates Hall, Cornell, Ithaca, NY 14853

Email: rw565 [at] cornell [dot] edu


Does Label Differential Privacy Prevent Label Inference Attacks?

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

--arXiv:2202.12968, 2022. [pdf]

Publications and Manuscripts

Differentially Private Multi-Party Data Release for Linear Regression

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

--In Conference on Uncertainty in Artificial Intelligence (UAI), 2022. [pdf]

Online Adaptation to Label Distribution Shift

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

--In Advances of Neural Information Processing (NeurIPS), 2021. [pdf] [code]

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

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

--In Advances of Neural Information Processing (NeurIPS), 2021. [pdf] [code]

Correlator Convolutional Neural Networks as 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

--Nature Communications, 2021. [pdf]

Making Paper Reviewing Robust to Bid Manipulation Attacks

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

--In International Conference on Machine Learning (ICML), 2021. [pdf] [code]

On Hiding Neural Networks Inside Neural Networks

Chuan Guo*, Ruihan Wu*, Kilian Q. Weinberger

unpublished manuscript, 2020 [pdf] [code]

Scalable Lattice Influence Maximization

Wei Chen*, Ruihan Wu*, Zheng Yu*

--IEEE Transactions on Computational Social Systems (TCSS), 2020. [pdf]

Product Kernel Interpolation for Scalable Gaussian Processes

Jake Gardner, Geoff Peiss, Ruihan Wu, Kilian Q. Weinberger, Andrew G. Wilson

--In International Conference on Artificial Intelligence and Statistics (AISTATS), 2018. [pdf]

Quadratic Upper Bound for Recursive Teaching Dimension of Finite VC Classes

Lunjia Hu, Ruihan Wu, Tianhong Li, Liwei Wang

--In Conference on Learning Theory (COLT), 2017. [pdf]

Selected Awards

LinkedIn PhD Award, 2022

National Scholarship (top 2% in Tsinghua University), 2017

Gold Medal in Chinese Mathematical Olympiad , 2013