Research interests:

I’m broadly interested in artificial intelligence, spanning theory to real-world applications. Over the years, my research has explored a range of areas from foundational topics such as matrix factorization and subspace clustering to more recent, practical advances including vision–language models (VLMs), graph neural networks (GNNs), and reinforcement learning (RL).

Preprints:

Abdolali, Maryam, Zakerian, Romina, Roshanfekr, Behnam, Ayar, Fardin, Rahmati, Mohammad, "Adapt, Agree, Aggregate: Semi-Supervised Ensemble Labeling for Graph Convolutional Networks", Under revision
Hosseini, S.A., Abdolali, M., Tavakkoli, A., Ayar, F., Javanmardi, E., Tsukada, M. and Javanmardi, M., "Trust, Don't Trust, or Flip: Robust Preference-Based Reinforcement Learning with Multi-Expert Feedback". arXiv preprint arXiv:2601.18751.
Abdolali, M., Ayar, F., Tavanaei, R., Fathi, S., Momtazi, A., Javanmardi, E., Tsukada, M., & Javanmardi, M., "Compositionality in contrastive vision-language models: A survey of methods and benchmarks", https://doi.org/10.36227/techrxiv.177004940.09969046/v1

Journal Papers:

Abdolali, Maryam, Barbarino, Giovanni and Gillis, Nicolas. "Dual Simplex Volume Maximization for Simplex-Structured Matrix Factorization." Accepted in SIAM Journal on Imaging Sciences (SIIMS), 2024.
Abdolali, Maryam, and Nicolas Gillis. "Revisiting data augmentation for subspace clustering." Accepted in Knowledge based Systems, 2022.
Abdolali, Maryam, and Nicolas Gillis. "Beyond linear subspace clustering: A comparative study of nonlinear manifold clustering algorithms." Computer Science Review 42 (2021): 100435.
Abdolali, Maryam, and Nicolas Gillis. "Simplex-structured matrix factorization: Sparsity-based identifiability and provably correct algorithms." SIAM Journal on Mathematics of Data Science 3.2 (2021): 593-623.
Abdolali, Maryam, and Mohammad Rahmati. "Neither global nor local: A hierarchical robust subspace clustering for image data." Information Sciences 514 (2020): 333-353.
Abdolali, Maryam, Nicolas Gillis, and Mohammad Rahmati. "Scalable and robust sparse subspace clustering using randomized clustering and multilayer graphs." Signal Processing 163 (2019): 166-180.
Abdolali, Maryam, and Mohammad Rahmati. "Robust subspace clustering for image data using clean dictionary estimation and group lasso based matrix completion." Journal of Visual Communication and Image Representation 61 (2019): 303-314.
Abdolali, Maryam, and Mohammad Rahmati. "Multiscale decomposition in low-rank approximation." IEEE Signal Processing Letters 24.7 (2017): 1015-1019.
Abdolali, Fatemeh, Reza Aghaeizadeh Zoroofi, Maryam Abdolali, Futoshi Yokota, Yoshito Otake, and Yoshinobu Sato. "Automatic segmentation of mandibular canal in cone beam CT images using conditional statistical shape model and fast marching." International journal of computer assisted radiology and surgery 12, no. 4 (2017): 581-593.

Proceedings:

Abdolali, Maryam, and Nicolas Gillis. "Subspace Clustering using unsupervised data augmentation." Accepted in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2022.
Abdolali, Maryam, and Mohammad Rahmati. "From local to global subspace clustering for image data." ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2019.
Abdolali, Maryam, and Mohammad Rahmati. "Facial expression recognition using sparse coding." 2013 8th Iranian Conference on Machine Vision and Image Processing (MVIP). IEEE, 2013.

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