A Provably Convergent Information Bottleneck Solution via ADMM. - Teng-Hui Huang; Aly El Gamal (ISIT, 2021)

Efficient Multi-View Learning Based on the Information Bottleneck Paradigm. - Teng-Hui Huang; Aly El Gamal; Hesham El Gamal (IEEECONF, 2022)

On The Multi-View Information Bottleneck Representation. - Teng-Hui Huang; Aly El Gamal; Hesham El Gamal (ITW, 2022)

The Wyner Variational Autoencoder for Unsupervised Multi-Layer Wireless Fingerprinting. - Teng-Hui Huang; Thilini Dahanayaka; Kanchana Thilakarathna; Philip H. W. Leong; Hesham El Gamal (GLOBECOM, 2023)

A Deep Learning Method for Joint Compression and Unsupervised Denoising of CSI Feedback. - Teng-Hui Huang; Akshay Malhotra; Shahab Hamidi-Rad (ICC, 2023)

Efficient Alternating Minimization Solvers for Wyner Multi-View Unsupervised Learning. - Teng-Hui Huang; Hesham El Gamal (ISIT, 2023)

A Linearly Convergent Douglas-Rachford Splitting Solver for Markovian Information-Theoretic Optimization Problems. - Teng-Hui Huang; Aly El Gamal; Hesham El Gamal (IEEE Trans. Inf. Theory, 2023)

An Efficient Difference-of-Convex Solver for Privacy Funnel. - Teng-Hui Huang; Hesham El Gamal (ISIT (Workshops), 2024)

Efficient Solvers for Wyner Common Information With Application to Multi-Modal Clustering. - Teng-Hui Huang; Hesham El Gamal (IEEE Trans. Inf. Theory, 2025)

Incomplete Multiview Learning via Wyner Common Information. - AbdAlRahman Odeh; Teng-Hui Huang; Hesham El Gamal (CoRR, 2025)