Mengyuan Zhang

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All published works
Action Title Year Authors
+ PDF Chat Narrative Feature or Structured Feature? A Study of Large Language Models to Identify Cancer Patients at Risk of Heart Failure 2024 Ziyi Chen
Mengyuan Zhang
Mustafa Mohammed Ahmed
Yi Guo
Thomas J. George
Jiang Bian
Yonghui Wu
+ PDF Chat FreeStyle: Free Lunch for Text-guided Style Transfer using Diffusion Models 2024 Feihong He
Gang Li
Mengyuan Zhang
L.-L. Yan
Lingyu Si
Fanzhang Li
+ PDF Chat Multi-Task Learning with Prior Information 2023 Mengyuan Zhang
Kai Liu
+ MindOpt Tuner: Boost the Performance of Numerical Software by Automatic Parameter Tuning 2023 Mengyuan Zhang
Wotao Yin
Mengchang Wang
Yangbin Shen
Xiang Peng
Youting Wu
Liang Zhao
Junqiu Pan
Jiang Hu
KuoLing Huang
+ PDF Chat Rethinking Symmetric Matrix Factorization: A More General and Better Clustering Perspective 2022 Mengyuan Zhang
Kai Liu
+ DPOAD: Differentially Private Outsourcing of Anomaly Detection through Iterative Sensitivity Learning 2022 Meisam Mohammady
Han Wang
Lingyu Wang
Mengyuan Zhang
Yosr Jarraya
Suryadipta Majumdar
Makan Pourzandi
Mourad Debbabi
Yuan Hong
+ R$^2$DP: A Universal and Automated Approach to Optimizing the Randomization Mechanisms of Differential Privacy for Utility Metrics with No Known Optimal Distributions. 2020 Meisam Mohammady
Shangyu Xie
Yuan Hong
Mengyuan Zhang
Lingyu Wang
Makan Pourzandi
Mourad Debbabi
+ R$^2$DP: A Universal and Automated Approach to Optimizing the Randomization Mechanisms of Differential Privacy for Utility Metrics with No Known Optimal Distributions 2020 Meisam Mohammady
Shangyu Xie
Yuan Hong
Mengyuan Zhang
Lingyu Wang
Makan Pourzandi
Mourad Debbabi
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Spherical Principal Component Analysis 2019 Kai Liu
Qiuwei Li
Hua Wang
Gongguo Tang
2
+ PDF Chat A data- and workload-aware algorithm for range queries under differential privacy 2014 Chao Li
Michael Hay
Gerome Miklau
Yue Wang
1
+ A Convex Formulation for Learning Task Relationships in Multi-Task Learning 2012 Yu Zhang
Dit‐Yan Yeung
1
+ PDF Chat Constrained Optimization and Lagrange Multiplier Methods 1982 Dimitri P. Bertsekas
1
+ Optimality of the Laplace Mechanism in Differential Privacy 2015 Fragkiskos Koufogiannis
Shuo Han
George J. Pappas
1
+ PDF Chat Some Properties of Beta and Gamma Distributions 1954 M. V. Jambunathan
1
+ PDF Chat Impossibility of Differentially Private Universally Optimal Mechanisms 2010 Hai Brenner
Kobbi Nissim
1
+ PDF Chat Rényi Divergence and Kullback-Leibler Divergence 2014 Tim van Erven
Peter Harremoës
1
+ PDF Chat Differentially private filtering 2012 Jérôme Le Ny
George J. Pappas
1
+ PDF Chat Estimating the Largest Eigenvalue by the Power and Lanczos Algorithms with a Random Start 1992 J. Kuczyński
H. Woźniakowski
1
+ PDF Chat Sur les fonctions convexes et les inégalités entre les valeurs moyennes 1906 J. L. W. V. Jensen
1
+ PDF Chat Boosting the accuracy of differentially private histograms through consistency 2010 Michael Hay
Vibhor Rastogi
Gerome Miklau
Dan Suciu
1
+ The Geometry of Differential Privacy: the Sparse and Approximate Cases 2012 Aleksandar Nikolov
Kunal Talwar
Li Zhang
1
+ Low-rank mechanism 2012 Ganzhao Yuan
Zhenjie Zhang
Marianne Winslett
Xiaokui Xiao
Yin Yang
Zhifeng Hao
1
+ PDF Chat On the Linear Convergence of a Proximal Gradient Method for a Class of Nonsmooth Convex Minimization Problems 2013 Haibin Zhang
Jiaojiao Jiang
Zhi-Quan Luo
1
+ PDF Chat Optimizing linear counting queries under differential privacy 2010 Chao Li
Michael Hay
Vibhor Rastogi
Gerome Miklau
Andrew McGregor
1
+ A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems 2009 Amir Beck
Marc Teboulle
1
+ Differential Privacy: A Survey of Results 2008 Cynthia Dwork
1
+ PDF Chat Detecting the overlapping and hierarchical community structure in complex networks 2009 Andrea Lancichinetti
Santo Fortunato
János Kertész
1
+ Differential Privacy and Machine Learning: a Survey and Review 2014 Zhanglong Ji
Zachary C. Lipton
Charles Elkan
1
+ PDF Chat Differentially Private Spatial Decompositions 2012 Graham Cormode
Cecilia M. Procopiuc
Divesh Srivastava
Entong Shen
Ting Yu
1
+ PDF Chat Universally optimal privacy mechanisms for minimax agents 2010 Mangesh Gupte
Mukund Sundararajan
1
+ PDF Chat A tutorial on spectral clustering 2007 Ulrike von Luxburg
1
+ PDF Chat On the geometry of differential privacy 2010 Moritz Hardt
Kunal Talwar
1
+ PDF Chat Universally utility-maximizing privacy mechanisms 2009 Arpita Ghosh
Tim Roughgarden
Mukund Sundararajan
1
+ PDF Chat Recursive Evaluation of a Family of Compound Distributions 1981 Harry H. Panjer
1
+ A Dirty Model for Multi-task Learning 2010 Ali Jalali
Sujay Sanghavi
Chao Ruan
Pradeep Ravikumar
1
+ PDF Chat A learning theory approach to non-interactive database privacy 2008 Avrim Blum
Katrina Ligett
Aaron Roth
1
+ Efficient and Non-Convex Coordinate Descent for Symmetric Nonnegative Matrix Factorization 2016 Arnaud Vandaele
Nicolas Gillis
Qi Lei
Kai Zhong
Inderjit S. Dhillon
1
+ PDF Chat Inexact Block Coordinate Descent Methods for Symmetric Nonnegative Matrix Factorization 2017 Qingjiang Shi
Haoran Sun
Songtao Lu
Mingyi Hong
Meisam Razaviyayn
1
+ PDF Chat Estimation of (near) low-rank matrices with noise and high-dimensional scaling 2011 Sahand Negahban
Martin J. Wainwright
1
+ PDF Chat Rényi Differential Privacy 2017 Ilya Mironov
1
+ First-Order Methods in Optimization 2017 Amir Beck
1
+ PDF Chat RON-Gauss: Enhancing Utility in Non-Interactive Private Data Release 2018 Thee Chanyaswad
Changchang Liu
Prateek Mittal
1
+ Dropping Symmetry for Fast Symmetric Nonnegative Matrix Factorization 2018 Zhihui Zhu
Li Xiao
Kai Liu
Qiuwei Li
1
+ Optimal Noise-Adding Mechanism in Additive Differential Privacy 2018 Quan Geng
Wei Ding
Ruiqi Guo
Sanjiv Kumar
1
+ PDF Chat Optimal Noise Adding Mechanisms for Approximate Differential Privacy 2015 Quan Geng
Pramod Viswanath
1
+ Deep Subspace Clustering Networks 2017 Pan Ji
Tong Zhang
Hongdong Li
Mathieu Salzmann
Ian Reid
1
+ BAM! Born-Again Multi-Task Networks for Natural Language Understanding 2019 Kevin Clark
Minh-Thang Luong
Urvashi Khandelwal
Christopher D. Manning
Quoc V. Le
1
+ PDF Chat Understanding the sparse vector technique for differential privacy 2017 Min Lyu
Dong Su
Ninghui Li
1
+ PDF Chat The optimal mechanism in differential privacy 2014 Quan Geng
Pramod Viswanath
1
+ Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising 2018 Borja Balle
Yu-Xiang Wang
1
+ PDF Chat Optimal Geo-Indistinguishable Mechanisms for Location Privacy 2014 Nicolás E. Bordenabe
Konstantinos Chatzikokolakis
Catuscia Palamidessi
1
+ RAPPOR 2014 Úlfar Erlingsson
Vasyl Pihur
Aleksandra Korolova
1
+ PDF Chat MVG Mechanism: Differential Privacy under Matrix-Valued Query 2018 Thee Chanyaswad
Alex Dytso
H. Vincent Poor
Prateek Mittal
1
+ Probability Theory and Mathematical Statistics 1996 1
+ Multi-task driven explainable diagnosis of COVID-19 using chest X-ray images 2021 Aakarsh Malhotra
Surbhi Mittal
Puspita Majumdar
Saheb Chhabra
Kartik Thakral
Mayank Vatsa
Richa Singh
Santanu Chaudhury
Ashwin Pudrod
Anjali Agrawal
1
+ A Provable Splitting Approach for Symmetric Nonnegative Matrix Factorization 2021 Li Xiao
Zhihui Zhu
Qiuwei Li
Kai Liu
1
+ A Convex Feature Learning Formulation for Latent Task Structure Discovery 2012 Pratik Jawanpuria
J. Saketha Nath
1
+ Spherical Matrix Factorization 2021 Kai Liu
1