| 2025 | DCC | Feature Compression for Machines with Range-Based Channel Truncation and Frame Packing. | Juan Merlos, Fabien Racap, Hyomin Choi, Mateen Ulhaq, Hari Kalva |
| 2025 | ISCAS | Efficient Feature Compression for Machines with Global Statistics Preservation. | Md Eimran Hossain Eimon, Hyomin Choi, Fabien Racap, Mateen Ulhaq, Velibor Adzic, Hari Kalva, Borko Furht |
| 2024 | ICIP | Learned Compression of Encoding Distributions. | Mateen Ulhaq, Ivan V. Bajic |
| 2024 | PCS | Scalable Human-Machine Point Cloud Compression. | Mateen Ulhaq, Ivan V. Bajic |
| 2023 | DCC | Learned Disentangled Latent Representations for Scalable Image Coding for Humans and Machines. | Ezgi zyilkan, Mateen Ulhaq, Hyomin Choi, Fabien Racap |
| 2023 | MMSP | Learned Point Cloud Compression for Classification. | Mateen Ulhaq, Ivan V. Bajic |
| 2022 | VCIP | Frequency-aware Learned Image Compression for Quality Scalability. | Hyomin Choi, Fabien Racap, Shahab Hamidi-Rad, Mateen Ulhaq, Simon Feltman |
| 2021 | ICASSP | Latent Space Motion Analysis for Collaborative Intelligence. | Mateen Ulhaq, Ivan V. Bajic |