Mohamad Ali Torkamani

According to our database, Mohamad Ali Torkamani authored at least 14 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

TGTOD: A Global Temporal Graph Transformer for Outlier Detection at Scale.

Kay Liu, Jiahao Ding, MohamadAli Torkamani, Philip S. Yu

CoRR, 2024

Robustness Reprogramming for Representation Learning.

Zhichao Hou, MohamadAli Torkamani, Hamid Krim, Xiaorui Liu

CoRR, 2024

HLogformer: A Hierarchical Transformer for Representing Log Data.

Zhichao Hou, Mina Ghashami, Mikhail Kuznetsov, MohamadAli Torkamani

CoRR, 2024

Structural Fairness-aware Active Learning for Graph Neural Networks.

Haoyu Han, Xiaorui Liu, Li Ma, MohamadAli Torkamani, Hui Liu, Jiliang Tang, Makoto Yamada

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Adversarial Robustness in Graph Neural Networks: Recent Advances and New Frontier.

Zhichao Hou, Minhua Lin, MohamadAli Torkamani, Suhang Wang, Xiaorui Liu

Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024

2023

Towards Label Position Bias in Graph Neural Networks.

Haoyu Han, Xiaorui Liu, Feng Shi, MohamadAli Torkamani, Charu C. Aggarwal, Jiliang Tang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation.

Rui Xue, Haoyu Han, MohamadAli Torkamani, Jian Pei, Xiaorui Liu

Proceedings of the International Conference on Machine Learning, 2023

Alternately Optimized Graph Neural Networks.

Haoyu Han, Xiaorui Liu, Haitao Mao, MohamadAli Torkamani, Feng Shi, Victor Lee, Jiliang Tang

Proceedings of the International Conference on Machine Learning, 2023

2020

Differential Equation Units: Learning Functional Forms of Activation Functions from Data.

MohamadAli Torkamani, Shiv Shankar, Amirmohammad Rooshenas, Phillip Wallis

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning Compact Neural Networks Using Ordinary Differential Equations as Activation Functions.

MohamadAli Torkamani, Phillip Wallis, Shiv Shankar, Amirmohammad Rooshenas

CoRR, 2019

2018

Engagement Scoring for Care-gap Intervention Optimization.

Mohamad Ali Torkamani, Malhar Jhaveri, Jynelle Mellen, Michael Brown-Hayes, James Chung, Bei Pan, Hakan Kardes

Proceedings of the 3rd International Workshop on Health Recommender Systems, 2018

A Hybrid Health Journey Recommender System Using Electronic Medical Records.

Soheil Jamshidi, Mohamad Ali Torkamani, Jynelle Mellen, Malhar Jhaveri, Penny Pan, James Chung, Hakan Kardes

Proceedings of the 3rd International Workshop on Health Recommender Systems, 2018

2014

On Robustness and Regularization of Structural Support Vector Machines.

MohamadAli Torkamani, Daniel Lowd

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Convex Adversarial Collective Classification.

MohamadAli Torkamani, Daniel Lowd

Proceedings of the 30th International Conference on Machine Learning, 2013