Van Vu

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 21

Top Topics

Community Detection

Top Venues

Random Struct. Algorithms

IEEE Trans. Inf. Theory

Publications

Phuc Tran, Van Vu
Matrix perturbation bounds via contour bootstrapping. CoRR (2024)
Abhinav Bhardwaj, Van Vu
Matrix Perturbation: Davis-Kahan in the Infinity Norm. SODA (2024)
Sean O'Rourke, Van Vu, Ke Wang
Matrices With Gaussian Noise: Optimal Estimates for Singular Subspace Perturbation. IEEE Trans. Inf. Theory 70 (3) (2024)
Phuc Tran, Van Vu
A Short Proof of Kahn-Kalai Conjecture. Electron. J. Comb. 31 (3) (2024)
Abhinav Bhardwaj, Van Vu
Entry-wise dissipation for singular vector perturbation bounds. CoRR (2023)
Sean O'Rourke, Van Vu, Ke Wang
Optimal Subspace Perturbation Bounds under Gaussian Noise. ISIT (2023)
Hieu T. Nguyen, Ha Q. Nguyen, Hieu H. Pham, Khanh Lam, Linh T. Le, Minh Dao, Van Vu
VinDr-Mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography. CoRR (2022)
Hieu T. Nguyen, Hieu H. Pham, Nghia T. Nguyen, Ha Q. Nguyen, Thang Q. Huynh, Minh Dao, Van Vu
VinDr-SpineXR: A Deep Learning Framework for Spinal Lesions Detection and Classification from Radiographs. MICCAI (5) (2021)
Hieu T. Nguyen, Hieu H. Pham, Nghia T. Nguyen, Ha Q. Nguyen, Thang Q. Huynh, Minh Dao, Van Vu
VinDr-SpineXR: A deep learning framework for spinal lesions detection and classification from radiographs. CoRR (2021)
Linh V. Tran, Van Vu
Reaching a Consensus on Random Networks: The Power of Few. APPROX-RANDOM (2020)
Daniel Montealegre, Van Vu
Spectrum of Complex Networks. Internet Math. 2019 (2019)
Asaf Ferber, Daniel Montealegre, Van Vu
Law of the iterated logarithm for random graphs. Random Struct. Algorithms 54 (1) (2019)
Sean O'Rourke, Van Vu, Ke Wang
Random perturbation and matrix sparsification and completion. CoRR (2018)
Asaf Ferber, Van Vu
Packing perfect matchings in random hypergraphs. Random Struct. Algorithms 52 (3) (2018)
Terence Tao, Van Vu
Random matrices have simple spectrum. Comb. 37 (3) (2017)
Sean O'Rourke, Van Vu, Ke Wang
Eigenvectors of random matrices: A survey. J. Comb. Theory, Ser. A 144 (2016)
Raghu Meka, Oanh Nguyen, Van Vu
Anti-concentration for Polynomials of Independent Random Variables. Theory Comput. 12 (1) (2016)
Kyle Luh, Van Vu
Random Matrices: l1 Concentration and Dictionary Learning with Few Samples. FOCS (2015)
Peter Chin, Anup Rao, Van Vu
Stochastic Block Model and Community Detection in the Sparse Graphs: A spectral algorithm with optimal rate of recovery. CoRR (2015)
Peter Chin, Anup Rao, Van Vu
Stochastic Block Model and Community Detection in Sparse Graphs: A spectral algorithm with optimal rate of recovery. COLT (2015)
Oanh Nguyen, Van Vu
Anti-concentration for random polynomials. CoRR (2015)
Van Vu
A simple SVD algorithm for finding hidden partitions. CoRR (2014)
Van Vu
Singular vectors under random perturbation. Random Struct. Algorithms 39 (4) (2011)