On the Capacity Bounds of Undirected Networks. - Ali Al-Bashabsheh; Abbas Yongaçoglu (ISIT, 2007)

On the k-pairs problem. - Ali Al-Bashabsheh; Abbas Yongaçoglu (ISIT, 2008)

Average Throughput with Linear Network Coding over Finite Fields: The Combination Network Case. - Ali Al-Bashabsheh; Abbas Yongaçoglu (EURASIP J. Wirel. Commun. Netw., 2008)

Valiant transform of forney graphs. - Ali Al-Bashabsheh; Yongyi Mao (ITW, 2010)

On Holant Theorem and Its Proof - Ali Al-Bashabsheh; Yongyi Mao; Abbas Yongaçoglu (CoRR, 2010)

Normal factor graphs: A diagrammatic approach to linear algebra. - Ali Al-Bashabsheh; Yongyi Mao; Pascal O. Vontobel (ISIT, 2011)

Normal Factor Graphs and Holographic Transformations. - Ali Al-Bashabsheh; Yongyi Mao (IEEE Trans. Inf. Theory, 2011)

Normal Factor Graphs as Probabilistic Models - Ali Al-Bashabsheh; Yongyi Mao (CoRR, 2012)

Translation schemes and LP bounds. - Ali Al-Bashabsheh; Yongyi Mao; Terence H. Chan (CWIT, 2013)

On stochastic estimation of the partition function. - Ali Al-Bashabsheh; Yongyi Mao (ISIT, 2014)

The ising model: Kramers-Wannier duality and normal factor graphs. - Ali Al-Bashabsheh; Pascal O. Vontobel (ISIT, 2015)

Successive omniscience. - Chung Chan; Ali Al-Bashabsheh; Javad B. Ebrahimi; Tarik Kaced; Swanand Kadhe; Tie Liu 002; Alex Sprintson; Muxi Yan; Qiaoqiao Zhou (NetCod, 2015)

Multivariate Mutual Information Inspired by Secret-Key Agreement. - Chung Chan; Ali Al-Bashabsheh; Javad B. Ebrahimi; Tarik Kaced; Tie Liu 002 (Proc. IEEE, 2015)

Duality between feature selection and data clustering. - Chung Chan; Ali Al-Bashabsheh; Qiaoqiao Zhou; Tie Liu 002 (Allerton, 2016)

Incremental and decremental secret key agreement. - Chung Chan; Ali Al-Bashabsheh; Qiaoqiao Zhou (ISIT, 2016)

Kramers-Wannier Duality and Factor Graphs. - Ali Al-Bashabsheh; Pascal O. Vontobel (CoRR, 2016)

On Characterizations of Markov Random Fields and Subfields. - Raymond W. Yeung; Ali Al-Bashabsheh; Chao Chen 013; Qi Chen 001; Pierre Moulin (CoRR, 2016)

Successive Omniscience. - Chung Chan; Ali Al-Bashabsheh; Qiaoqiao Zhou; Ni Ding; Tie Liu 002; Alex Sprintson (IEEE Trans. Inf. Theory, 2016)

Info-Clustering: A Mathematical Theory for Data Clustering. - Chung Chan; Ali Al-Bashabsheh; Qiaoqiao Zhou; Tarik Kaced; Tie Liu 002 (IEEE Trans. Mol. Biol. Multi Scale Commun., 2016)

Info-clustering: An efficient algorithm by network information flow. - Chung Chan; Ali Al-Bashabsheh; Qiaoqiao Zhou (ITA, 2017)

Agglomerative Info-Clustering. - Chung Chan; Ali Al-Bashabsheh; Qiaoqiao Zhou (ISIT, 2018)

A Factor-Graph Approach to Algebraic Topology, With Applications to Kramers-Wannier Duality. - Ali Al-Bashabsheh; Pascal O. Vontobel (IEEE Trans. Inf. Theory, 2018)

Change of Multivariate Mutual Information: From Local to Global. - Chung Chan; Ali Al-Bashabsheh; Qiaoqiao Zhou (IEEE Trans. Inf. Theory, 2018)

Finding Better Web Communities in Digraphs via Max-Flow Min-Cut. - Chung Chan; Ali Al-Bashabsheh; Da Sun Handason Tam; Chao Zhao (ISIT, 2019)

Neural Entropic Estimation: A faster path to mutual information estimation. - Chung Chan; Ali Al-Bashabsheh; Hing Pang Huang; Michael Lim; Da Sun Handason Tam; Chao Zhao (CoRR, 2019)

On Information-Theoretic Characterizations of Markov Random Fields and Subfields. - Raymond W. Yeung; Ali Al-Bashabsheh; Chao Chen 013; Qi Chen 001; Pierre Moulin (IEEE Trans. Inf. Theory, 2019)

Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers. - Masoumeh Soflaei; Hongyu Guo; Ali Al-Bashabsheh; Yongyi Mao; Richong Zhang (AAAI, 2020)

On Functions of Markov Random Fields. - Bernhard C. Geiger; Ali Al-Bashabsheh (ITW, 2020)

Adaptive Label Smoothing for Classifier-based Mutual Information Neural Estimation. - Xu Wang 037; Ali Al-Bashabsheh; Chao Zhao; Chung Chan (ISIT, 2021)

Agglomerative Info-Clustering: Maximizing Normalized Total Correlation. - Chung Chan; Ali Al-Bashabsheh; Qiaoqiao Zhou (IEEE Trans. Inf. Theory, 2021)

Smoothed InfoNCE: Breaking the log N Curse without Overshooting. - Xu Wang 037; Ali Al-Bashabsheh; Chao Zhao; Chung Chan (ISIT, 2022)

Smoothed noise contrastive mutual information neural estimation. - Xu Wang 037; Ali Al-Bashabsheh; Chao Zhao; Chung Chan (J. Frankl. Inst., 2023)

Information Bottleneck and Aggregated Learning. - Masoumeh Soflaei; Richong Zhang; Hongyu Guo; Ali Al-Bashabsheh; Yongyi Mao (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Detecting Informationally-Dense Subsets. - Chao Zhao; Ali Al-Bashabsheh; Chung Chan (ITW, 2024)

Game Theoretic Clustering for Finding Strong Communities. - Chao Zhao; Ali Al-Bashabsheh; Chung Chan (Entropy, 2024)