Cheuk Ting Li

Orcid: 0000-0002-4803-212X

According to our database1, Cheuk Ting Li authored at least 57 papers between 2012 and 2025.

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

Timeline

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Bibliography

2025
New Second-Order Achievability Bounds for Coding with Side Information via Type Deviation Convergence.
CoRR, October, 2025

Joint Scheduling and Multiflow Maximization in Wireless Networks.
CoRR, September, 2025

Rejection-Sampled Linear Codes for Lossy Compression and Channel Simulation.
CoRR, June, 2025

Communication-Efficient and Privacy-Adaptable Mechanism for Federated Learning.
CoRR, January, 2025

Nonasymptotic Oblivious Relaying and Variable-Length Noisy Lossy Source Coding.
Proceedings of the IEEE International Symposium on Information Theory, 2025

Discrete Layered Entropy, Conditional Compression and a Tighter Strong Functional Representation Lemma.
Proceedings of the IEEE International Symposium on Information Theory, 2025

Be More Diverse than the Most Diverse: Optimal Mixtures of Generative Models via Mixture-UCB Bandit Algorithms.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Unveiling Differences in Generative Models: A Scalable Differential Clustering Approach.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Channel Simulation: Theory and Applications to Lossy Compression and Differential Privacy.
Found. Trends Commun. Inf. Theory, 2024

Be More Diverse than the Most Diverse: Online Selection of Diverse Mixtures of Generative Models.
CoRR, 2024

A Pair of Bayesian Network Structures has Undecidable Conditional Independencies.
CoRR, 2024

Towards a Scalable Identification of Novel Modes in Generative Models.
CoRR, 2024

Pointwise Redundancy in One-Shot Lossy Compression via Poisson Functional Representation.
CoRR, 2024

Universal Exact Compression of Differentially Private Mechanisms.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

One-Shot Information Hiding.
Proceedings of the IEEE Information Theory Workshop, 2024

Variable-Length Secret Key Agreement via Random Stopping Time.
Proceedings of the IEEE International Symposium on Information Theory, 2024

Rejection-Sampled Universal Quantization for Smaller Quantization Errors.
Proceedings of the IEEE International Symposium on Information Theory, 2024

A Poisson Decomposition for Information and the Information-Event Diagram.
Proceedings of the IEEE International Symposium on Information Theory, 2024

One-Shot Coding over General Noisy Networks.
Proceedings of the IEEE International Symposium on Information Theory, 2024

An Interpretable Evaluation of Entropy-based Novelty of Generative Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Communication-Efficient Laplace Mechanism for Differential Privacy via Random Quantization.
Proceedings of the IEEE International Conference on Acoustics, 2024

On Convergence in Wasserstein Distance and f-divergence Minimization Problems.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Compression with Exact Error Distribution for Federated Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Undecidability of Network Coding, Conditional Information Inequalities, and Conditional Independence Implication.
IEEE Trans. Inf. Theory, June, 2023

A Characterization of Entropy as a Universal Monoidal Natural Transformation.
CoRR, 2023

An Information-Theoretic Evaluation of Generative Models in Learning Multi-modal Distributions.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Vector Quantization with Error Uniformly Distributed over an Arbitrary Set.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Unconditionally Secure Access Control Encryption.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Mode-Seeking Divergences: Theory and Applications to GANs.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Randomized Quantization with Exact Error Distribution.
Proceedings of the IEEE Information Theory Workshop, 2022

Weighted Parity-Check Codes for Channels with State and Asymmetric Channels.
Proceedings of the IEEE International Symposium on Information Theory, 2022

Arithmetic Network Coding for Secret Sum Computation.
Proceedings of the IEEE International Symposium on Information Theory, 2022

First-Order Theory of Probabilistic Independence and Single-Letter Characterizations of Capacity Regions.
Proceedings of the IEEE International Symposium on Information Theory, 2022

The Undecidability of Network Coding with some Fixed-Size Messages and Edges.
Proceedings of the IEEE International Symposium on Information Theory, 2022

2021
Efficient Approximate Minimum Entropy Coupling of Multiple Probability Distributions.
IEEE Trans. Inf. Theory, 2021

The Undecidability of Conditional Affine Information Inequalities and Conditional Independence Implication with a Binary Constraint.
Proceedings of the IEEE Information Theory Workshop, 2021

Multiple-Output Channel Simulation and Lossy Compression of Probability Distributions.
Proceedings of the IEEE Information Theory Workshop, 2021

An Automated Theorem Proving Framework for Information-Theoretic Results.
Proceedings of the IEEE International Symposium on Information Theory, 2021

Infinite Divisibility of Information.
Proceedings of the IEEE International Symposium on Information Theory, 2021

2020
Minimax Learning for Distributed Inference.
IEEE Trans. Inf. Theory, 2020

Asymptotically Scale-invariant Multi-resolution Quantization.
Proceedings of the IEEE International Symposium on Information Theory, 2020

2019
A Unified Framework for One-shot Achievability via the Poisson Matching Lemma.
Proceedings of the IEEE International Symposium on Information Theory, 2019

2018
Minimax Learning for Remote Prediction.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

One-Shot Variable-Length Secret Key Agreement Approaching Mutual Information.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017
Extended Gray-Wyner system with complementary causal side information.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Strong functional representation lemma and applications to coding theorems.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

2016
Channel Diversity Needed for Vector Space Interference Alignment.
IEEE Trans. Inf. Theory, 2016

A universal coding scheme for remote generation of continuous random variables.
Proceedings of the 2016 IEEE Information Theory Workshop, 2016

Distributed simulation of continuous random variables.
Proceedings of the IEEE International Symposium on Information Theory, 2016

2015
Maximal correlation secrecy.
Proceedings of the IEEE International Symposium on Information Theory, 2015

2014
Locally Weighted Learning for Naive Bayes Classifier.
CoRR, 2014

Channel diversity needed for vector interference alignment.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

An efficient feedback coding scheme with low error probability for discrete memoryless channels.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Exact common information.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

2013
Multi-rate sequential data transmission.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

2012
On Multi-rate Sequential Data Transmission
CoRR, 2012

Deterministic phase guarantees for robust recovery in incoherent dictionaries.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012


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