Ziye Ma

Orcid: 0000-0002-3605-3505

According to our database1, Ziye Ma authored at least 14 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Absence of spurious solutions far from ground truth: A low-rank analysis with high-order losses.
CoRR, 2024

2023
Geometric Analysis of Noisy Low-Rank Matrix Recovery in the Exact Parametrized and the Overparametrized Regimes.
INFORMS J. Optim., October, 2023

Algorithmic Regularization in Tensor Optimization: Towards a Lifted Approach in Matrix Sensing.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle Points.
Proceedings of the International Conference on Machine Learning, 2023

Noisy Low-rank Matrix Optimization: Geometry of Local Minima and Convergence Rate.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Semidefinite Programming versus Burer-Monteiro Factorization for Matrix Sensing.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Energy Efficient Resource Allocation for MSCA Enabled CoMP in HetNets.
IEEE Trans. Veh. Technol., 2022

DRL-based Energy Efficient Resource Allocation for STAR-RIS Assisted Coordinated Multi-cell Networks.
Proceedings of the IEEE Global Communications Conference, 2022

Sharp Restricted Isometry Property Bounds for Low-Rank Matrix Recovery Problems with Corrupted Measurements.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Partition-Based Convex Relaxations for Certifying the Robustness of ReLU Neural Networks.
CoRR, 2021

A Sequential Framework Towards an Exact SDP Verification of Neural Networks.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

2020
Strengthened SDP Verification of Neural Network Robustness via Non-Convex Cuts.
CoRR, 2020

Tightened Convex Relaxations for Neural Network Robustness Certification.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Certifiably Globally Optimal Extrinsic Calibration From Per-Sensor Egomotion.
IEEE Robotics Autom. Lett., 2019


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