| 2025 | AAAI | Task-Agnostic Language Model Watermarking via High Entropy Passthrough Layers. | Vaden Masrani, Mohammad Akbari, David Ming Xuan Yue, Ahmad Rezaei, Yong Zhang |
| 2025 | CVPR | DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models. | Saeed Ranjbar Alvar, Gursimran Singh, Mohammad Akbari, Yong Zhang |
| 2025 | CVPR | CASP: Compression of Large Multimodal Models Based on Attention Sparsity. | Mohsen Gholami, Mohammad Akbari, Kevin Cannons, Yong Zhang |
| 2025 | WACV | Towards Secure and Usable 3D Assets: A Novel Framework for Automatic Visible Watermarking. | Gursimran Singh, Tianxi Hu, Mohammad Akbari, Qiang Tang, Yong Zhang |
| 2025 | SC | Accelerating Intra-Node GPU Communication: A Performance Model for Multi-Path Transfers. | Amir Hossein Sojoodi, Mohammad Akbari, Hamed Sharifian, Ali Farazdaghi, Ryan E. Grant, Ahmad Afsahi |
| 2024 | ECCV | LaWa: Using Latent Space for In-Generation Image Watermarking. | Ahmad Rezaei, Mohammad Akbari, Saeed Ranjbar Alvar, Arezou Fatemi, Yong Zhang |
| 2024 | ICPR | Primary Key Free Watermarking for Numerical Tabular Datasets in Machine Learning. | Xin Che, Mohammad Akbari, Shaoxin Li, David (Ming Xuan) Yue, Yong Zhang, Lingyang Chu |
| 2024 | NAACL | GOLD: Generalized Knowledge Distillation via Out-of-Distribution-Guided Language Data Generation. | Mohsen Gholami, Mohammad Akbari, Tianxi Hu, Vaden Masrani, Z. Wang, Yong Zhang |
| 2023 | CoNLL | ArchBERT: Bi-Modal Understanding of Neural Architectures and Natural Languages. | Mohammad Akbari, Saeed Ranjbar Alvar, Behnam Kamranian, Amin Banitalebi-Dehkordi, Yong Zhang |
| 2023 | ICCV | ETran: Energy-Based Transferability Estimation. | Mohsen Gholami, Mohammad Akbari, Xinglu Wang, Behnam Kamranian, Yong Zhang |
| 2023 | KDD | NFT-Based Data Marketplace with Digital Watermarking. | Saeed Ranjbar Alvar, Mohammad Akbari, David (Ming Xuan) Yue, Yong Zhang |
| 2022 | ACL | E-LANG: Energy-Based Joint Inferencing of Super and Swift Language Models. | Mohammad Akbari, Amin Banitalebi-Dehkordi, Yong Zhang |
| 2021 | AAAI | Learned Bi-Resolution Image Coding using Generalized Octave Convolutions. | Mohammad Akbari, Jie Liang, Jingning Han, Chengjie Tu |
| 2021 | BMVC | EBJR: Energy-Based Joint Reasoning for Adaptive Inference. | Mohammad Akbari, Amin Banitalebi-Dehkordi, Yong Zhang |
| 2020 | DCC | Deep Learning-Based Image Compression with Trellis Coded Quantization. | Binglin Li, Mohammad Akbari, Jie Liang, Yang Wang |
| 2020 | MMSP | Variable-Rate Multi-Frequency Image Compression using Modulated Generalized Octave Convolution. | Jianping Lin, Mohammad Akbari, Haisheng Fu, Qian Zhang, Shang Wang, Jie Liang, Dong Liu, Feng Liang, Guohe Zhang, Chengjie Tu |
| 2019 | CIKM | MarlRank: Multi-agent Reinforced Learning to Rank. | Shihao Zou, Zhonghua Li, Mohammad Akbari, Jun Wang, Peng Zhang |
| 2019 | ECIR | Modeling User Return Time Using Inhomogeneous Poisson Process. | Mohammad Akbari, Alberto Cetoli, Stefano Bragaglia, Andrew D. O'Harney, Marc Sloan, Jun Wang |
| 2019 | ECIR | A Neural Approach to Entity Linking on Wikidata. | Alberto Cetoli, Stefano Bragaglia, Andrew D. O'Harney, Marc Sloan, Mohammad Akbari |
| 2019 | ICASSP | DSSLIC: Deep Semantic Segmentation-based Layered Image Compression. | Mohammad Akbari, Jie Liang, Jingning Han |
| 2018 | AAAI | Vertical Domain Text Classification: Towards Understanding IT Tickets Using Deep Neural Networks. | Jianglei Han, Mohammad Akbari |
| 2018 | CIKM | Towards Effective Extraction and Linking of Software Mentions from User-Generated Support Tickets. | Jianglei Han, Ka Hian Goh, Aixin Sun, Mohammad Akbari |
| 2018 | ICASSP | Semi-Recurrent Cnn-Based Vae-Gan for Sequential Data Generation. | Mohammad Akbari, Jie Liang |
| 2018 | ICWSM | From the User to the Medium: Neural Profiling Across Web Communities. | Mohammad Akbari, Kunal Relia, Anas Elghafari, Rumi Chunara |
| 2017 | WSDM | Leveraging Behavioral Factorization and Prior Knowledge for Community Discovery and Profiling. | Mohammad Akbari, Tat-Seng Chua |
| 2016 | AAAI | From Tweets to Wellness: Wellness Event Detection from Twitter Streams. | Mohammad Akbari, Xia Hu, Liqiang Nie, Tat-Seng Chua |
| 2015 | SIGIR | Multiple Social Network Learning and Its Application in Volunteerism Tendency Prediction. | Xuemeng Song, Liqiang Nie, Luming Zhang, Mohammad Akbari, Tat-Seng Chua |
| 2014 | SIGIR | A Joint Local-Global Approach for Medical Terminology Assignment. | Liqiang Nie, Mohammad Akbari, Tao Li, Tat-Seng Chua |
| 2014 | SIGIR | WenZher: comprehensive vertical search for healthcare domain. | Liqiang Nie, Tao Li, Mohammad Akbari, Jialie Shen, Tat-Seng Chua |
| 2009 | ICCSA | Design and Implementation of a GSM Based Automatic Vehicle Location System. | Ali Mousavi, Mohammad A. Rajabi, Mohammad Akbari |