Edward Jiang

According to our database, Edward Jiang authored at least 6 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2026

Lindbladian Learning with Neural Differential Equations.

Timothy Heightman, Roman Aseguinolaza Gallo, Edward Jiang, JRM Saavedra, Antonio Acín, Marcin Plodzien

CoRR, March, 2026

2025

XTrace: A Non-Invasive Dynamic Tracing Framework for Android Applications in Production.

Qi Hu, Jiangchao Liu, Xin Yu, Lin Zhang, Edward Jiang

CoRR, December, 2025

Quantum Machine Learning in Multi-Qubit Phase-Space Part I: Foundations.

Timothy Heightman, Edward Jiang, Ruth Mora-Soto, Maciej Lewenstein, Marcin Plodzien

CoRR, July, 2025

2024

Solving The Quantum Many-Body Hamiltonian Learning Problem with Neural Differential Equations.

Timothy Heightman, Edward Jiang, Antonio Acín

CoRR, 2024

2022

SoK: How Robust is Image Classification Deep Neural Network Watermarking?

Nils Lukas, Edward Jiang, Xinda Li, Florian Kerschbaum

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

2021

SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Extended Version).

Nils Lukas, Edward Jiang, Xinda Li, Florian Kerschbaum

CoRR, 2021