Hao-Chung Cheng

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026
MIDI-Informed Singing Accompaniment Generation in a Compositional Song Pipeline.
CoRR, February, 2026

A Mirror-Descent Algorithm for Computing the Petz-Rényi Capacity of Classical-Quantum Channels.
CoRR, January, 2026

2025
The operator layer cake theorem is equivalent to Frenkel's integral formula.
CoRR, December, 2025

Error Exponents for Quantum Packing Problems via An Operator Layer Cake Theorem.
CoRR, July, 2025

A Simple Derivation of The Refined Sphere-Packing Bound for Classical-Quantum Channels.
Proceedings of the IEEE Information Theory Workshop, 2025

MuseControlLite: Multifunctional Music Generation with Lightweight Conditioners.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

A Key to Effective Multi-task Learning: Separate Query Selection for Task-Synergized Handling and Node Utilization.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Impact of Glyph Information on Latent Space Diffusion Models for Accurate Handwritten Text Generation.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Linear Convergence in Hilbert's Projective Metric for Computing Augustin Information and a Rényi Information Measure.
CoRR, 2024

Maximal α-Leakage for Quantum Privacy Mechanisms.
CoRR, 2024

Audio Prompt Adapter: Unleashing Music Editing Abilities for Text-to-Music With Lightweight Finetuning.
Proceedings of the 25th International Society for Music Information Retrieval Conference, 2024

MusiConGen: Rhythm and Chord Control for Transformer-Based Text-to-Music Generation.
Proceedings of the 25th International Society for Music Information Retrieval Conference, 2024

Maximal $\alpha$ - Leakage for Quantum Privacy Mechanisms and Operational Meaning of Measured Renyi Capacity.
Proceedings of the IEEE International Symposium on Information Theory, 2024

Computing Augustin Information via Hybrid Geodesically Convex Optimization.
Proceedings of the IEEE International Symposium on Information Theory, 2024

Coherent Distributed Source Simulation as Multipartite Quantum State Splitting.
Proceedings of the IEEE International Symposium on Information Theory, 2024

Scene Text Recognition Using Progressive Rectification Network And Spelling Error Correction Language Model.
Proceedings of the IEEE International Conference on Image Processing, 2024

Fast Minimization of Expected Logarithmic Loss via Stochastic Dual Averaging.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
A Simple and Tighter Derivation of Achievability for Classical-Quantum Channel Coding.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Efficient Data Loading with Quantum Autoencoder.
Proceedings of the IEEE International Conference on Acoustics, 2023

Online Self-Concordant and Relatively Smooth Minimization, With Applications to Online Portfolio Selection and Learning Quantum States.
Proceedings of the International Conference on Algorithmic Learning Theory, 2023

2022
Faster Stochastic First-Order Method for Maximum-Likelihood Quantum State Tomography.
CoRR, 2022

A Simple and Tighter Derivation of Achievability for Classical Communication over Quantum Channels.
CoRR, 2022

Minimizing Quantum Rényi Divergences via Mirror Descent with Polyak Step Size.
Proceedings of the IEEE International Symposium on Information Theory, 2022

2021
Maximum-Likelihood Quantum State Tomography by Cover's Method with Non-Asymptotic Analysis.
CoRR, 2021

Discrimination of quantum states under locality constraints in the many-copy setting.
Proceedings of the IEEE International Symposium on Information Theory, 2021

2018
Error exponent analysis in quantum information theory
PhD thesis, 2018


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