74 results on '"Weiyu Xu"'
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2. Camouflage Adversarial Attacks on Multiple Agent Systems.
3. Optimal Cost Constrained Adversarial Attacks For Multiple Agent Systems.
4. Distributed Dual Coordinate Ascent with Imbalanced Data on a General Tree Network.
5. To AI or not to AI, to Buy Local or not to Buy Local: A Mathematical Theory of Real Price.
6. Outlier Detection Using Generative Models with Theoretical Performance Guarantees.
7. Trust, but Verify: Robust Image Segmentation using Deep Learning.
8. gcDLSeg: Integrating Graph-cut into Deep Learning for Binary Semantic Segmentation.
9. Optimal Compression for Minimizing Classification Error Probability: an Information-Theoretic Approach.
10. A deep learning network with differentiable dynamic programming for retina OCT surface segmentation.
11. Low-Cost and High-Throughput Testing of COVID-19 Viruses and Antibodies via Compressed Sensing: System Concepts and Computational Experiments.
12. Derivation of Information-Theoretically Optimal Adversarial Attacks with Applications to Robust Machine Learning.
13. Optimal Pooling Matrix Design for Group Testing with Dilution (Row Degree) Constraints.
14. Do Deep Minds Think Alike? Selective Adversarial Attacks for Fine-Grained Manipulation of Multiple Deep Neural Networks.
15. Trust but Verify: An Information-Theoretic Explanation for the Adversarial Fragility of Machine Learning Systems, and a General Defense against Adversarial Attacks.
16. An Information-Theoretic Explanation for the Adversarial Fragility of AI Classifiers.
17. Fast Single Image Reflection Suppression via Convex Optimization.
18. MSE-optimal 1-bit Precoding for Multiuser MIMO via Branch and Bound.
19. Necessary and Sufficient Null Space Condition for Nuclear Norm Minimization in Low-Rank Matrix Recovery.
20. Outlier Detection using Generative Models with Theoretical Performance Guarantees.
21. How did Donald Trump Surprisingly Win the 2016 United States Presidential Election? an Information-Theoretic Perspective (Clean Sensing for Big Data Analytics: Optimal Strategies, Estimation Error Bounds Tighter than the Cramér-Rao Bound).
22. Network Constrained Distributed Dual Coordinate Ascent for Machine Learning.
23. Separation-Free Super-Resolution from Compressed Measurements is Possible: an Orthonormal Atomic Norm Minimization Approach.
24. Symbol Error Rate Performance of Box-relaxation Decoders in Massive MIMO.
25. Compressed Hypothesis Testing: To Mix or Not to Mix?
26. Efficient Optimal Joint Channel Estimation and Data Detection for Massive MIMO Systems.
27. Phaseless super-resolution in the continuous domain.
28. New Algorithms for Verifying the Null Space Condition in Compressed Sensing.
29. Projected Wirtinger Gradient Descent for Low-Rank Hankel Matrix Completion in Spectral Compressed Sensing.
30. Distributed Channel Estimation and Pilot Contamination Analysis for Massive MIMO-OFDM Systems.
31. Block Iterative Reweighted Algorithms for Super-Resolution of Spectrally Sparse Signals.
32. Optimal Non-coherent Data Detection for Massive SIMO Wireless Systems with General Constellations: A Polynomial Complexity Solution.
33. Robust recovery of complex exponential signals from random Gaussian projections via low rank Hankel matrix reconstruction.
34. Precise Phase Transition of Total Variation Minimization.
35. BER Analysis of the box relaxation for BPSK Signal Recovery.
36. Optimal non-coherent data detection for massive SIMO wireless systems: A polynomial complexity solution.
37. Super-resolution Line Spectrum Estimation with Block Priors.
38. Spectral Super-resolution With Prior Knowledge.
39. Precise Semidefinite Programming Formulation of Atomic Norm Minimization for Recovering d-Dimensional ($d\geq 2$) Off-the-Grid Frequencies.
40. Precisely Verifying the Null Space Conditions in Compressed Sensing: A Sandwiching Algorithm.
41. Quickest Search Over Multiple Sequences with Mixed Observations
42. Optimized Markov Chain Monte Carlo for Signal Detection in MIMO Systems: an Analysis of Stationary Distribution and Mixing Time.
43. Universally Elevating the Phase Transition Performance of Compressed Sensing: Non-Isometric Matrices are Not Necessarily Bad Matrices.
44. Quickest Search over Multiple Sequences with Mixed Observation.
45. Off-The-Grid Spectral Compressed Sensing With Prior Information.
46. Guarantees of Total Variation Minimization for Signal Recovery
47. Low Complexity Blind Equalization for OFDM Systems with General Constellations
48. Toeplitz Matrix Based Sparse Error Correction in System Identification: Outliers and Random Noises
49. Sparse Recovery with Graph Constraints
50. Toeplitz Matrix Based Sparse Error Correction in System Identification
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