Deterministic phase guarantees for robust recovery in incoherent dictionaries. - Cheuk Ting Li; Samet Oymak; Babak Hassibi (ICASSP, 2012)

On Multi-rate Sequential Data Transmission - Cheuk Ting Li (CoRR, 2012)

Multi-rate sequential data transmission. - Cheuk Ting Li; Shenghao Yang 001; Raymond W. Yeung (ISIT, 2013)

Exact common information. - Gowtham Ramani Kumar; Cheuk Ting Li; Abbas El Gamal (ISIT, 2014)

Channel diversity needed for vector interference alignment. - Cheuk Ting Li; Ayfer Özgür (ISIT, 2014)

Locally Weighted Learning for Naive Bayes Classifier. - Kim-Hung Li; Cheuk Ting Li (CoRR, 2014)

An Efficient Feedback Coding Scheme With Low Error Probability for Discrete Memoryless Channels. - Cheuk Ting Li; Abbas El Gamal (IEEE Trans. Inf. Theory, 2015)

Channel Diversity Needed for Vector Space Interference Alignment. - Cheuk Ting Li; Ayfer Özgür (IEEE Trans. Inf. Theory, 2016)

Distributed Simulation of Continuous Random Variables. - Cheuk Ting Li; Abbas El Gamal (IEEE Trans. Inf. Theory, 2017)

Minimax Learning for Remote Prediction. - Cheuk Ting Li; Xiugang Wu; Ayfer Özgür; Abbas El Gamal (ISIT, 2018)

A Universal Coding Scheme for Remote Generation of Continuous Random Variables. - Cheuk Ting Li; Abbas El Gamal (IEEE Trans. Inf. Theory, 2018)

Maximal Correlation Secrecy. - Cheuk Ting Li; Abbas El Gamal (IEEE Trans. Inf. Theory, 2018)

Extended Gray-Wyner System With Complementary Causal Side Information. - Cheuk Ting Li; Abbas El Gamal (IEEE Trans. Inf. Theory, 2018)

Strong Functional Representation Lemma and Applications to Coding Theorems. - Cheuk Ting Li; Abbas El Gamal (IEEE Trans. Inf. Theory, 2018)

Minimax Learning for Distributed Inference. - Cheuk Ting Li; Xiugang Wu; Ayfer Özgür; Abbas El Gamal (IEEE Trans. Inf. Theory, 2020)

Multiple-Output Channel Simulation and Lossy Compression of Probability Distributions. - Chak Fung Choi; Cheuk Ting Li (ITW, 2021)

Efficient Approximate Minimum Entropy Coupling of Multiple Probability Distributions. - Cheuk Ting Li (IEEE Trans. Inf. Theory, 2021)

Asymptotically Scale-Invariant Multi-Resolution Quantization. - Cheuk Ting Li (IEEE Trans. Inf. Theory, 2021)

A Unified Framework for One-Shot Achievability via the Poisson Matching Lemma. - Cheuk Ting Li; Venkat Anantharam (IEEE Trans. Inf. Theory, 2021)

One-Shot Variable-Length Secret Key Agreement Approaching Mutual Information. - Cheuk Ting Li; Venkat Anantharam (IEEE Trans. Inf. Theory, 2021)

The Undecidability of Network Coding with some Fixed-Size Messages and Edges. - Cheuk Ting Li (ISIT, 2022)

Arithmetic Network Coding for Secret Sum Computation. - Sijie Li; Cheuk Ting Li (ISIT, 2022)

Randomized Quantization with Exact Error Distribution. - Mahmoud Hegazy; Cheuk Ting Li (ITW, 2022)

Infinite Divisibility of Information. - Cheuk Ting Li (IEEE Trans. Inf. Theory, 2022)

The Undecidability of Conditional Affine Information Inequalities and Conditional Independence Implication With a Binary Constraint. - Cheuk Ting Li (IEEE Trans. Inf. Theory, 2022)

Mode-Seeking Divergences: Theory and Applications to GANs. - Cheuk Ting Li; Farzan Farnia (AISTATS, 2023)

Unconditionally Secure Access Control Encryption. - Cheuk Ting Li; Sherman S. M. Chow (ISIT, 2023)

An Information-Theoretic Evaluation of Generative Models in Learning Multi-modal Distributions. - Mohammad Jalali; Cheuk Ting Li; Farzan Farnia (NeurIPS, 2023)

A Characterization of Entropy as a Universal Monoidal Natural Transformation. - Cheuk Ting Li (CoRR, 2023)

Undecidability of Network Coding, Conditional Information Inequalities, and Conditional Independence Implication. - Cheuk Ting Li (IEEE Trans. Inf. Theory, 2023)

An Automated Theorem Proving Framework for Information-Theoretic Results. - Cheuk Ting Li (IEEE Trans. Inf. Theory, 2023)

First-Order Theory of Probabilistic Independence and Single-Letter Characterizations of Capacity Regions. - Cheuk Ting Li (IEEE Trans. Inf. Theory, 2023)

Compression with Exact Error Distribution for Federated Learning. - Mahmoud Hegazy; Rémi Leluc; Cheuk Ting Li; Aymeric Dieuleveut (AISTATS, 2024)

On Convergence in Wasserstein Distance and f-divergence Minimization Problems. - Cheuk Ting Li; Jingwei Zhang; Farzan Farnia (AISTATS, 2024)

Communication-Efficient Laplace Mechanism for Differential Privacy via Random Quantization. - Ali Moradi Shahmiri; Chih Wei Ling; Cheuk Ting Li (ICASSP, 2024)

An Interpretable Evaluation of Entropy-based Novelty of Generative Models. - Jingwei Zhang; Cheuk Ting Li; Farzan Farnia (ICML, 2024)

One-Shot Coding over General Noisy Networks. - Yanxiao Liu 003; Cheuk Ting Li (ISIT, 2024)

Rejection-Sampled Universal Quantization for Smaller Quantization Errors. - Chih Wei Ling; Cheuk Ting Li (ISIT, 2024)

Variable-Length Secret Key Agreement via Random Stopping Time. - Junda Zhou; Cheuk Ting Li (ISIT, 2024)

One-Shot Information Hiding. - Yanxiao Liu 003; Cheuk Ting Li (ITW, 2024)

Universal Exact Compression of Differentially Private Mechanisms. - Yanxiao Liu 003; Wei-Ning Chen; Ayfer Özgür; Cheuk Ting Li (NeurIPS, 2024)

Pointwise Redundancy in One-Shot Lossy Compression via Poisson Functional Representation. - Cheuk Ting Li (CoRR, 2024)

Towards a Scalable Identification of Novel Modes in Generative Models. - Jingwei Zhang; Mohammad Jalali; Cheuk Ting Li; Farzan Farnia (CoRR, 2024)

A Pair of Bayesian Network Structures has Undecidable Conditional Independencies. - Cheuk Ting Li (CoRR, 2024)

Be More Diverse than the Most Diverse: Online Selection of Diverse Mixtures of Generative Models. - Parham Rezaei; Farzan Farnia; Cheuk Ting Li (CoRR, 2024)

Channel Simulation: Theory and Applications to Lossy Compression and Differential Privacy. - Cheuk Ting Li (Found. Trends Commun. Inf. Theory, 2024)

Vector Quantization With Error Uniformly Distributed Over an Arbitrary Set. - Chih Wei Ling; Cheuk Ting Li (IEEE Trans. Inf. Theory, 2024)

Weighted Parity-Check Codes for Channels With State and Asymmetric Channels. - Chih Wei Ling; Yanxiao Liu 003; Cheuk Ting Li (IEEE Trans. Inf. Theory, 2024)

Unveiling Differences in Generative Models: A Scalable Differential Clustering Approach. - Jingwei Zhang; Mohammad Jalali; Cheuk Ting Li; Farzan Farnia (CVPR, 2025)

Be More Diverse than the Most Diverse: Optimal Mixtures of Generative Models via Mixture-UCB Bandit Algorithms. - Parham Rezaei; Farzan Farnia; Cheuk Ting Li (ICLR, 2025)

Communication-Efficient and Privacy-Adaptable Mechanism for Federated Learning. - Chih Wei Ling; Youqi Wu; Jiande Sun 001; Cheuk Ting Li; Linqi Song; Weitao Xu (CoRR, 2025)

Nonasymptotic Oblivious Relaying and Variable-Length Noisy Lossy Source Coding. - Yanxiao Liu 003; Sepehr Heidari Advary; Cheuk Ting Li (CoRR, 2025)

Discrete Layered Entropy, Conditional Compression and a Tighter Strong Functional Representation Lemma. - Cheuk Ting Li (CoRR, 2025)

Rejection-Sampled Linear Codes for Lossy Compression and Channel Simulation. - Cheuk Ting Li; Jianguo Zhao (CoRR, 2025)

A Poisson Decomposition for Information and the Information-Event Diagram. - Cheuk Ting Li (IEEE Trans. Inf. Theory, 2025)