| 2024 | ITW | Detecting Informationally-Dense Subsets. | Chao Zhao, Ali Al-Bashabsheh, Chung Chan |
| 2022 | ISIT | Smoothed InfoNCE: Breaking the log N Curse without Overshooting. | Xu Wang, Ali Al-Bashabsheh, Chao Zhao, Chung Chan |
| 2021 | ISIT | Adaptive Label Smoothing for Classifier-based Mutual Information Neural Estimation. | Xu Wang, Ali Al-Bashabsheh, Chao Zhao, Chung Chan |
| 2020 | AAAI | Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers. | Masoumeh Soflaei, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao, Richong Zhang |
| 2020 | ITW | On Functions of Markov Random Fields. | Bernhard C. Geiger, Ali Al-Bashabsheh |
| 2019 | ISIT | Finding Better Web Communities in Digraphs via Max-Flow Min-Cut. | Chung Chan, Ali Al-Bashabsheh, Da Sun Handason Tam, Chao Zhao |
| 2018 | ISIT | Agglomerative Info-Clustering. | Chung Chan, Ali Al-Bashabsheh, Qiaoqiao Zhou |
| 2017 | ISIT | Information-theoretic characterizations of Markov random fields and subfields. | Raymond W. Yeung, Ali Al-Bashabsheh, Chao Chen, Qi Chen, Pierre Moulin |
| 2017 | ITA | Info-clustering: An efficient algorithm by network information flow. | Chung Chan, Ali Al-Bashabsheh, Qiaoqiao Zhou |
| 2016 | ISIT | Incremental and decremental secret key agreement. | Chung Chan, Ali Al-Bashabsheh, Qiaoqiao Zhou |
| 2015 | ISIT | The ising model: Kramers-Wannier duality and normal factor graphs. | Ali Al-Bashabsheh, Pascal O. Vontobel |
| 2014 | ISIT | On stochastic estimation of the partition function. | Ali Al-Bashabsheh, Yongyi Mao |
| 2011 | ISIT | Normal factor graphs: A diagrammatic approach to linear algebra. | Ali Al-Bashabsheh, Yongyi Mao, Pascal O. Vontobel |
| 2010 | ITW | Valiant transform of forney graphs. | Ali Al-Bashabsheh, Yongyi Mao |
| 2008 | ISIT | On the k-pairs problem. | Ali Al-Bashabsheh, Abbas Yongaoglu |
| 2007 | ISIT | On the Capacity Bounds of Undirected Networks. | Ali Al-Bashabsheh, Abbas Yongaoglu |